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Autonomous Systems and Robotics

ASAR has internationally recognised research excellence in Robotics & Artificial Intelligence (RAI). It was appointed the home of the National Advanced Robotics Research Centre in 1987 and was the founding member of the Northern Robotics Network, which became the National Robotics Network (NRN). ASAR is a spoke of the EPSRC Future AI & Robotics for Space Hub, a UK national centre of research excellence in space robots and AI funded through the Industrial Strategy Challenge Fund.

ASAR is at the forefront of strategic research initiatives funded by the EPSRC, the EU Framework Programmes for R&I, UK Government Departments (BEIS and Defra) and industry.

Our research has been applied in a range of sectors including automotive and aerospace manufacturing, nuclear decommissioning, space exploration, food production, agriculture and in health and social care.


  • 30 years of experience in over 12 research areas in the context of robotics and automation, and their applications in the industry;    
  • more than 5mln GBP worth of research developed in the last 8 years;    
  • more than 3mln EUR worth of research in the last 3 years, with a +200% growth in year 2015;    
  • excellent capabilities in attracting funds from national and international institutions, including research councils in the UK, the EU, the US, and Japan;    
  • over 18 funded projects in the last 8 years;    
  • over 10 mln GBP attracted from over 50 research grants.    


  • over 500 m2 of facilities structured in 5 laboratories, including a Living Lab and a room equipped with a world class virtual environment facility (OCTAVE);    
  • infrastructure supporting research in robotics, automation, and in several other fields, such as, machine learning, computer vision, and medical informatics;    
  • equipment, including 6 industrial robot arms, tracking systems, haptic devices, and exoskeletons;    
  • a staff of more than 15 full-time researchers and teachers, including 6 senior researchers and 10 Ph.D. students, and more than 20 students who are engaged in Master and Doctorate programs every year.    

Collaboration network

  • collaborations with over 25 national and international industrial partners in different markets, including multinational companies;    
  • collaborations with over 15 Universities in 4 continents;    
  • collaborations with 10 Governmental institutions and councils;    
  • research collaboration with the military industry, both nationally and overseas;    
  • representation in the major world conference in robotics, including ICRA, IROS, ICAR;    
  • key member of 3 European robotics networks (EURON, CLAWAR and MACA);    
  • active membership in the organizing committees of the major conferences and 5 societies (IEEE, IEE, IFAC, IFR, and BARA).    


In 1987, the University of Salford was the founding site for the UK’s National Advanced Robotics Research Centre (NARRC). Since then, robotics has formed the major strategic direction in Engineering within the University, thus, offering the Centre the opportunity of leading collaborations with  other  research units.

The Centre - currently led by Professor Samia Nefti-Meziani - has strong national and international connections with both other research institutes and the industry, with specific regard to manufacturing and partners, particularly in the Aerospace and Food sectors. Salford researchers have been at the forefront of strategic national developments initiated by several organizations in different areas of interest including: the Department of Trade and Industry (DTI), the Ministry of Agriculture, Fisheries and Food (MAFF), the Department  of  Business Innovation and Skills (BIS), the Department for Environment, Food and Rural Affairs (DEFRA), and the Engineering and Physical Sciences Research Council (EPSRC). Also, the Centre participated to multiple international initiatives from the European Union. Currently, the Centre is host for two  government  sponsored networks in Robotincs and in Automation, as part of the DEFRA-sponsored Food Manufacturing Engineering Group.

Moreover, the Centre for Robotics and Automation has a strong history in transferring its expertise to students. Taught course activities at undergraduate level in the area of robotics began in 1995 and an M.Sc. programme in Robotics and Automation started in 1996. The M.Sc. programme links closely with  M.Sc. courses in Intelligent Machines and Mechatronics. The current annual intake onto the M.Sc programme in Robotics and Automation is 12-15 students per year.

In addition to taught courses, the Center has a unique offer of different Ph.D. programmes towards Master of Philosophy (M.Phil.), Doctor of Philosophy (Ph.D.), and Professional Doctorate (D.Prof.), with approximately 80-100 students involved in robotics research activities covering a wide range of topics and applications.

Over the years, the Centre developed a unique expertise in several areas in the field of Robotics and Automation, which, in turn, offer a unique advantage in terms of both basic and applied research. The Centre focuses its research on automation systems, robot and machine design, dexterous end effectors, legged robots and walking systems, soft robotics, biomimetics and biologically-inspired robots, haptics and telepresence, physical human-robot interaction, rehabilitation robotics, cognitive robotics and autonomous systems, uninhabited autonomous systems and unmanned air vehicles, and food automation. In addition, the Centre gained expertise in adjacent research topics and is extremely open to leveraging its know-how and facilities to explore other topics and to support multidisciplinary research in different areas.

The Centre for Robotics and automation focuses on the following areas:

Actuators – As robots are being increasingly used in domains other than manufacturing the traditional hydraulic, pneumatic and electric actuators are not always suitable. Salford has been developing new advanced actuators which provide improved performance, such as high power to weight ratio and variable stiffness.  

Biomimetics/biologically inspired robotics – This theme involves looking to nature to see how it solves problems and then attempting to use this inspiration to develop novel robotic systems. We have developed a number of biologically inspired robots most notably walking robots based on both canine and primate anatomy.  

Soft robotics – Traditional robots are typically metallic and as a result are heavy and rigid, soft robots, as the name suggests, are formed from much softer and more flexible materials. This means soft robots interact with the environment in a very different manner to traditional robots, they can deform when in contact with obstacles allowing them to perform tasks and work in environments previously unsuited to robots. The ability to deform and absorb impact also make soft robots inherently safe when operating near people.

End effectors – Many products, particularly items of food cannot be grasped with traditional end effectors. We have extensive experience in developing novel end effectors for grasping difficult to hand products.

Dexterous hands – Robots are multipurpose tools, however, traditional robot grippers tend to only be able to handle a single or small range of products. If the robot is retasked the end effector often needs to be changed. This is costly and time consuming and as a result there is a drive to develop multipurpose grippers. We have extensive experience develop dexterous grippers based on the human hand.  

Automation for the food industry – The food industry uses less automation than other manufacturing sectors. The main reasons for this are the fact that food products are typically deformable and they have high levels of natural variation. This means traditional automation is not suitable. We have worked with more than 50 food companies to explore the use of automation and have developed many novel automated systems.

Physical human robot interaction (pHRI) – In the future robots will operate close to and in collaboration with people. Existing robots are unable to achieve this in safe manner and we are developing both hardware and software systems to allow safe physical human robot interaction.

Rehabilitation robotics – With an aging population and pressures on health budgets robotics is becoming increasingly important in healthcare. We are developing exoskeletons and other robotics devices to assist with rehabilitation.

Current Projects

The Marie Curie Initial Training Network, SMART-E (Sustainable Manufacturing through Advanced Robotics Training in Europe), coordinated by the University of Salford, has launched a new European research and training programme on Advanced Robotics under the European Union programme FP7-PEOPLE-2013-ITN with a total budget of approximately  €4 million. SMART-E will develop a leading European Doctoral Training programme, training 15 high calibre Researchers in the areas of Dexterous, Soft and Compliant Robotics in Manufacturing; Reconfigurable and Logistics Robotics; and Safety & Human Robot Interaction.

Coordinated by Prof Samia Nefti-Meziani, SMART-E brings together a team of world-renowned experts in robotics from leading universities in the UK, Germany, Italy and Switzerland ((University of Salford, University of Sheffield, Technical University of Munich, Scuola Superiore Sant'Anna, Italian Institute of Technology,University of Zurich) and a world leading manufacturers and end users of Automation in the Aerospace and Food sectors including FESTO, AIRBUS and the Advanced Manufacturing Research Centre (AMRC). The team is supported by a number of additional leading Universities, research laboratories and industries  as associated partners.


The Autonomous Systems & Robotics Research Centre holds the leading role in Autonomous mission planning and management, task allocation, hybrid optimisation, and intelligent decision making in the GAMMA Programme (Growing Autonomous Mission Management Applications).

Lead Partners in this programme include North West Aerospace Alliance (NWAA) and BAE Systems, together with the Universities of Salford, Manchester, Lancaster, Liverpool, UCLAN, Liverpool (including the Virtual Engineering Centre), and National Nuclear Laboratories.

GAMMA is a three year £9.1 million Autonomous Systems programme aimed at driving SME engagement and developing technology within the emerging autonomous systems markets. GAMMA technology areas of interest include data management, image processing, sensing and communication and mission planning and management.

EPSRC Centre for Innovative Manufacturing in Intelligent Automation: Feasibility study on Soft robotics

Development of a novel Soft, variable stiffness continuum manipulator.

The future of manufacturing will likely require robots working close to, and in collaboration with humans. This has led to the development of ‘soft’ and compliant robotic systems which mimic the soft interaction between people. This study is developing a physically soft manipulator able to vary its stiffness depending upon its task requirements. This will enable it to operate in a safe low stiffness  mode when moving large distances but switch to a high stiffness mode to allow for precise/accurate position control. This will result in a robot manipulator which unlike most  ‘soft’ systems is able to achieve high levels of accuracy.

Saber Mahboubi

One of the main challenges of robotic grasping is preventing slippage while manipulating objects. Slippage can cause the grasped object to fall and break, which might lead to a grievous situation especially if the handled object is expensive or contains hazardous substances. Also, grasping an object with sufficient force to prevent slippage, whilst not damaging or deforming the shape of the object proves to be an intricate challenge despite the existence of a huge body of literature on robotic grasping. Saber’s research focuses at designing a nonlinear impedance-slip control  for robotic hands, grippers and end effectors. When grasping objects, the controller should robustly overcome external nonlinear disturbances, along with inaccuracies in the system model, preventing slippage and minimizing deformation of objects.

Stefania  Russo

Current sensing technologies are very challenging to implement over 3D surfaces, sometimes expensive and difficult to replace, while a soft and low-cost solution able to reproduce some of the properties of our skin is needed, especially on high-deformable areas as the robotic-joints. In this way it is possible to enable and maximise the quality of the robot interactions’ with the surrounding environment.

This work describes an initial step towards the realisation of a stretchable and deformation-responsive “sensitive skin” for reproducing the human sensing capabilities in robotic applications. We are developing a sensor as a pressure sensitive fabric material which responds to  external stimuli by changing its electrical conductivity. The stretchable sensor is surrounded by electrodes for the electrical circuit and in this way, since it does not present internal wires, it is extremely soft and stretchable. When an external stimulus is applied, the variations in the internal conductivity of the sensitive skin will change the distribution of the injected electrical current inside it, resulting in a variation of the measured  voltages at the boundary. The collected potentials are then sent to a software for reconstructing the image of the internal conductivity distribution.

So far a second prototype of the experimental set-up with PCB has been developed. We have been working on the voltage data and study the performance parameters for the optimisation of the drive patterns. We have demonstrated that, depending on the present stimuli position  over the conductive domain, the selection of electrodes on which current injection and voltage reading are performed, can be chosen dynamically resulting in an improved quality of the reconstructed image and system performance. At the moment we are focusing on developing reconstruction algorithms to improve the time and spatial resolution of the sensor and to achieve touch interpretation.

Roy Assaf

My current research is on developing a novel self-healing framework for Robots and Complex machinery. The key behind this framework is the mathematical modelling of the degrading components within a mechanical system, where the wear interactions between components  are taken into account, leading to a more accurate indication of system health, and thus maintenance actions can be scheduled accordingly minimising human intervention, increasing the autonomous aspect of the system and giving the appearance of self-healing. The self-healing framework will  start from the  diagnostics  and prognostics of a system; it uses a data-driven approach, using statistical modelling and machine learning. It works by classifying normal response of a system under a specific operation scheme, which then makes it easier to identify incipient faults;  this will also lead to more accurate  remaining  useful lifetime calculations, and so prevent downtime that leads to economic losses and in some cases human casualties.

Murad Nizam

Recently, UAVs are promising to be a cost-effective and safe approach to improve awareness in any given environment. Although UAV technologies are reliable in gathering and sharing information with base stations, current technologies are limited to short flights. Hence available multicopters are  not permissive. Murad is currently working on a self-regulated, fail safe hybrid propulsion system which will improve the flight endurance increasing the effectiveness in battle scenarios.

Alaa Al-Ibadi

Designing a multi-robot system provides numerous advantages for many applications, such as low cost, multi-tasking and more efficient group work. While the rigidity of the robots used in industrial and medical application increase the probability of risk of injury. Therefore, many researches  are done to increase the safety factor for robot-human interaction, as a result, either the separated between the human and robot is suggested or the force shutdown to robot system is applied. These solutions might be useful for industrial application but it is not for medical  and  the  application require the direct interaction between the human the machine. To overcome the rigidity problem, a soft robot arm is presented. Ala aims to design and build multi soft robot system and design a suitable cooperative control system.

Mohd Nadhir Ab Wahab

Swarm Intelligence (SI) is one of the prominent techniques employed to solve optimisation problems. It has been applied to problems pertaining to engineering, schedule, planning, networking and design. However, this technique has two main limitations. First,  the  SI technique may  not be suitable for real-time application, as it does not have the same aspects of limitations as a real-time platform. Second, setting the parameter for SI techniques to produce the most promising outcome is challenging. Therefore, this study has been conducted to overcome these  two  limitations.  Based on the literature, Particle Swarm Optimization (PSO) was selected as the main SI for this study, due to its proven performances, abilities and simplicity. Five new techniques were created based on the PSO technique in order to address the two limitations. The first two techniques  focused on the first limitation, while the other three techniques focused on the latter. Three main experiments (benchmark problems, engineering problems, path planning problems) were designed to assess the capabilities and performances of these five new techniques. These new techniques were also compared  against  several  other well-established SI techniques such as the Genetic Algorithm (GA), Differential Equation (DE) and Cuckoo Search Algorithm (CSA). Potential Field (PF), Probabilistic Road Map (PRM), Rapidly-explore Random Tree (RRT) and Dijkstra’s Algorithm (DA) were also included in the path planning problem  in order to compare these new techniques’ performances against Classical methods of path planning. Results showed all five introduced techniques managed to outperform or at least perform as good as well-established techniques in all three experiments.

Wajid Rasheed Ismaeel Al-Rikabi

Fuzzy type-2 controllers can easily deal with systems nonlinearity and utilise human expertise to solve many complex control problems; they are also very good at processing uncertainty, which exists in many robotic systems, such as autonomous vehicles. However, their computational cost is  high, especially at the type reduction stage. In this research, we aimed to reduce the computation cost of the type reduction stage, thus to facilitate faster performance speed and increase the number of actions able to be operated in one microprocessor. Proposed here are adaptive integration  principles with a binary successive search technique to locate any straight sections in fuzzy sets, then using them to cut the cost of the weighted average computation, which runs in many type reductions. A variable adaptation rate is suggested during the type reduction  iterations to reduce the computation cost further. The influence of the proposed approaches on the fuzzy type-2 controller’s error has been mathematically analysed and then experimentally measured using a wall following behaviour, which is the most important action for many autonomous vehicles.  Results show  a performance time-gain exceeding 200%.

This study develops a new accelerated version of the enhanced Karnik-Mendel type reducer by using better initialisations and better indexing scheme. The resulting performance time-gain reached 170%, with respect to the original version. A further cut in the type reduction time was achieved  by proposing a One-Go type reduction procedure. This technique can reduce multiple sets altogether in one pass, thus eliminating much of the redundant calculations needed to carry out the reduction individually.  All the proposed type reduction enhancements were evaluated in terms  of their execution time-gain and performance error using every possible fuzzy firing level combination. Tests were then performed using a real autonomous vehicle navigating in a relatively complex arena field with acute, right, obtuse, and reflex angled  corners,  to assure a  wide variety of operation conditions. A simplified state hold technique using Schmitt-trigger principles and dynamic sense pattern control was suggested and implemented to assure small rule base size and to obtain a more accurate evaluation of the type reduction stages.

Hakim Elkurdi

This study focuses directly on analysis and evaluation of human gait features such as spatial gait data, temporal gait data, spatiotemporal gait data, and kinematic gait data. The changes in gait features can be used for assisting in clinical diagnoses especially in cognitive diseases such  as; multiple sclerosis. In this study, Microsoft Kinect v2 has been chosen to collect data form participants who are instructed to walk about 3 meters in the front of the camera which can provide data as 3D skeletal numerical data for 25 joints.  

Loai Al Abeach

This research presents the design of a variable stiffness, soft, three fingered dexterous gripper. The gripper uses two designs of McKibben muscles. Extensor muscles which increase in length when pressurised are used to form the fingers of the gripper. Contractor muscles which decrease in  length when pressurised are then used to apply forces to the fingers via tendons which cause flexion and extension of the fingers. The two types of muscles are arranged to act antagonistically and this means that by raising the pressure in all of the pneumatic muscles the stiffness  of  the  system can be increased without a resulting change in finger position. The research presents the design of the gripper, some basic kinematics to describe its function and then experimental results demonstrating the ability to adjust the bending stiffness of the gripper’s fingers. It has been demonstrated  that the finger’s bending stiffness can be increased by over 150%. The research concludes by demonstrating that the fingers can be closed loop position controlled and are able to track step and sinusoidal inputs.

In addition, three more end effectors are developed in this research as well. Two of them are modified variable stiffness, pneumatic, soft robot gripper designed to enhance the performance of the previous one. The third once which is variable stiffness too, however, its constructed using granular jamming criteria and  its work depends on the negative pressure in contrast with the previous three soft grippers.

Hassanin Al-Fahaam

Soft wearable robots are efficient alternatives to rigid-frame exoskeletons because they are compact and lightweight. We are manufactured a wearable robot for human upper-limp power assist and rehabilitation because a physically handicapped elderly and disabled people can expect to live more  independent life by using this kind of devices. We are developing a suitable intelligent control to control this device efficiently.

The Center collectively attracted over 30 research grants including:

  • Medical Research Council – Kinecting frailty, £ 50,000  
  • ASTRAEA T7 £40.000 BAE Systems  
  • Challenging established rules for train control through a fault tolerance approach, £345,887, EPSRC  
  • Adaptive control of large scale UAV: Ukraine Ministry of Education, £4,000.00.  
  • GAMMA: Growing Autonomous System Mission Management Applications, £352,277.00, Regional Growth Fund  
  • Adaptive control of large scale, UAV,£4,000.00,Ukraine Ministry of Education  
  • Sustainable Manufacturing through Robotics Training in Europe, (SMART-E) €4M, EC - Framework 7  
  • KTP with HellermannTyton Ltd,£152,176.00,Technology Strategy Board,13/05/2014  
  • EPSRC Centre for Innovative Manufacturing in Intelligent Automation - Feasibility Study, £49,924.00, EPSRC  
  • In Touch Research Fellow Collaboration,£60,000.00,In Touch Ltd  
  • Soft Actuators for Biomimetic Systems:  
  • Robo-Erectus - A Biologically Inspired Robotic Primate: An EPSRC public awareness project  
  • The Grasping Challenge, Anatomy of Dexterity: EPSRC public awareness project  
  • Flexible Automation in the Food Industry Project: This project involved visiting 20+ food companies and showing them the benefits of automation.  
  • Micro Metal Hydride Actuators: This EPSRC project explored the use of Metal Hydrides as a form of actuator.  
  • Centre for Food Robotics and Automation (CenFRA): CenFRA has been established to provide food companies with assistance and advice on automation. This involved visiting 25+ food companies  
  • EYE-CATCHING, £232,507.00, EPSRC,01/09/06  
  • Development of a 3D prototype system providing immersive collaborative techniques, £15,000.00, BBC,11/05/2007  
  • Industrial CASE Studentship (Real-time distributed processing for motion capture from video), Financed by EPSRC and OMG Vicon,£83,064.00, EPSRC CTA, 25/09/2007  
  • CROSS DRIVE,£344,139.00,EC Framework, 01/09/13  
  • KTP with HellermannTyton Ltd,£152,176.00,Technology Strategy Board,13/05/2014  
  • EPSRC Centre for Innovative Manufacturing in Intelligent Automation - Feasibility Study  
  • VISIONAIR - VISION,Advanced Infrastructure for Research,£174,377.00EC - Framework 7 20/05/2010  
  • Design4Energy,£484,918.00,EC - Framework 7,20/06/2013  
  • Collaborative Environment for Eco-Design of Product-Services and Production Processes Integrating Highly Personalised Innovative Functions (ProSEco),£416,453.00,EC - Framework 7, 01/07/2013  
  • CROSS DRIVE £ 344,139.00, EC - Framework 7,24/09/2013iCase with Arup, £ 92,691.00, EPSRC,17/09/2014  
  • Eight Songs for a Mad King,£30,000.00,Arts Council England,27/04/2012  
  • INCIDENT (Impact aNalysis of City Infrastructure Disaster EveNT),£7,000.00,Arup, 24/02/2014  
  • EU-CIRCLE - A panEuropean framework for strengthening Critical Infrastructure resilience to climate change,£218,338.00,EC - Horizon 2020,27/05/2015  
  • Framework for Research and Innovation in MediaCityUK (FIRM),£2,688,996.61, EPSRC, 30/06/2009  
  • A scientific basis for improving function in trans-femoral amputees£149,236.00, MOD, 10/05/2012  
  • Development of a Device for the Motorised Rehabilitation of Walking (moRoW-3), £26,556.00, National Institute for Health Research,15/09/2014  
  • CGM 2.i, £50,000.00,Vicon Motion Systems Ltd,15/12/2014  
  • Common themes in gait kinematics in Niemann Pick C,£30,000.00,Actelion Pharmaceuticals UK Ltd12/01/2015  
  • Addressing PICO questions relating to prosthetics and orthotics service delivery,£39,100.00, US Agency for International Development,14/10/2015  
  • Design and Locomotion Control of Bio-inspired Snake Robot for Rescue Missions, NSFC, ¥980k, CI, awarded, August 2015  
  • How Scientists Work, £189,006.00, EPSRC, 17/11/2006  
  • Digital Stories for Engineers, £24,712.00, Royal Academy of Engineering, 24/03/2008  
  • Wikked Science, £209,015.00, EPSRC, 30/09/2008  
  • Identifying a sound environment for secondary schools, £97,442.00, EPSRC, 08/10/2008  
  • KT-EQUAL: Putting ageing and disability research into practice, £123,316.00, EPSRC, 15/12/2008  
  • More Super-sonic communication, £91,491.00, EPSRC, 01/06/2009  
  • Mood Extraction and Theme Music, £4,400.00, BBC, 22/11/2010  
  • Perception and Automated Assessment of Recorded Audio Quality, Especially User Generated Content, £456,986.00, EPSRC, 14/12/2011  
  • S3A: Future Spatial Audio for an Immersive Listener Experience at Home, £1,411,295.00 EPSRC, 23/12/2013  
  • IMPRINtS - Internet and Mobile technologies for a Public Role In Noise Surveying £178,834.00, EPSRC, 23/03/2007  
  • Statistical Quantification of Vocal Effort Level Distribution, £79,260.00, Her Majesty's Government Communications Centre (HMGCC), 19/05/2008  
  • Synthesized Music for Room Acoustic Measurement, £65,164.00, Leverhulme Trust 26/06/2008  
  • Soundscapes, £44,595.00, DEFRA, 12/11/2008  
  • Making Sense of Sound, £398,961.00, EPSRC, 09/11/2015  
  • KTP with East Lancashire Moneyline (IPS) Limited, £107,372.00, Technology Strategy Board 17/09/2007  
  • Shorter KTP with East Lancashire Moneyline, £47,200.00, Technology Strategy Board 27/08/2010  
  • A Pilot Study in Data Mining for Customer Usage Patterns From SMART Meters, £79,000.00 British Gas, 11/03/2011  
  • SEEDS: Self learning Energy Efficient builDings and open Spaces, £299,836.00, EC - Framework 7 23/06/2011  
  • KTP with Idox Software Ltd, £131,983.00, Technology Strategy Board, 27/06/2014  
  • KTP with Social Sense, £162,008.00, Technology Strategy Board, 29/10/2014  
  • Privacy4Forensics, £161,227.00, EC - Framework 7, 19/01/2016  
  • KTP with Car Finance 247 Ltd, £129,666.00, Innovate UK, 03/11/2016

Prof. Nefti-Meziani holds Doctorat D’etat in robotics and artificial intelligence and is Director of the Centre for Autonomous Systems & Advanced Robotics, and Chair of Robotics at the University of Salford. In this role, she leads a multidisciplinary team of 6 academics and 12 researchers  in automation, robot/machine design, dexterous end effectors, legged robots, soft robotics, biologically-inspired robots, haptics/telepresence, physical human-robot interaction, rehabilitation robotics, cognitive robotics, uninhabited autonomous systems. She is an internationally leading researcher in  embodied intelligence and cognition. She has 25 years’ experience in advanced theoretical research in the areas of embodied intelligence, advanced robotics where the focus of her contribution is in the development of concepts, mechanisms and algorithms. She has pioneered the first application of  Soft Robotics in manufacturing.

She has published extensively in the above areas and the rigorous quality of her publications in AI and Robotics is evidenced by their high impact factors in Journals. The application value of her research has attracted significant national media coverage on Sky, the BBC, ITV, Granada, in addition to  print and on-line media. She has wider practical cross sectorial technologies including Nuclear Food, Agriculture, Nuclear, Aerospace & Defence, and Healthcare through several projects.

She has also extensive leadership experience as a former Director of the Doctoral School of the 6* IRIS Research Institute (2005-08). She has been responsible for 150 doctoral students and all postgraduate research provision across various departments, and has nurtured a strong research culture and  environment, which received the highest award for research environment (4*) in the 2008 (RAE). She has successfully supervised and graduated more than 30 PhD students and has extensive experience running very successful industrial sponsored robotics PG programmes at national and international level which  attract more than 100 post-graduate students every year.

Prof. Nefti-Meziani is a proven strategic leader of multi-national, multi-sector, multi-faceted and complex Robotics & Artificial Intelligence research programmes. She is renowned for her extensive experience of leading and managing large scale multi-disciplinary research projects, funded by EU,  involving multiple academic and industrial partners. Examples include the research and training programme SMART-E (€4m), for which she is the PI and which included 20 partners, comprising 7 academics and 13 companies, RobotCub (€8.5m), NovelQ (€11.3m) and ASTRAEA(£32m) and also the GAMMA (£9m) project  that engaged 50 SMEs with 46 research proposals. She was also heavily involved in the management and delivery of CENFRA (£5m) and ASCEII(£16m. Through these programmes, and her role as an expert in robotics, she has worked very closely with food, aerospace and nuclear supply chain to deliver proof of  concept and innovative low-cost robotics solutions for these programmes. She has also managed and delivered other projects funded by innovateUK and EPSRC as PI and Co-I.

She is co-founder of the Northern Robotics Network (NRN), which is an associate partner of the RAS-SIG. Its membership includes a range of leading nuclear sector organizations. She has worked seamlessly with the partners of the NRN’s industrially led Extreme Environment Cluster across a wide cross-section  of industry sectors. This work has been part of the consultation discussion with EPSRC and innovate UK, which has helped inform the area of focus of the Industrial Strategy Challenge Fund. She is Vice Chairman of IEEE Robotics and Automation UK & RI, Associate Editor of IEEE Transactions on Fuzzy  Systems, served as Advisory board member for Chamber of commerce in France, the Asian council and the EPSRC centre for innovative manufacturing and Member of the Engineering and Physical Sciences Research Council (EPSRC) Peer Review College.

Research Grants

Project name: KinectING FRAILTY

Medical Research Council Confidence in Concept (CiC) ROUND 4 2016: Full application, £ 91,021

Start date: 01/01/2017

Project name: MIHome

Salford Royal Trust and SallixHome

Capital funding scheme, £ 352,586

Start date: 01/10/2016

Project name: Marie Curie-Fellow

EC (Framework), £70.000

Principal Investigator: S Nefti-Meziani

Start date: 06/2017

Project name: Robotics and Autonomous systems “In Touch”

In Touch Ltd, £60,000.00.

Principal Investigator: S Nefti-Meziani (100%).

Start date: 08/2016

Project name: Autonomous Swarm-Based Mission Planning and Management System

Minister of Defence, £36,916.00.

Principal Investigator: S Nefti-Meziani (100%).

Start date: 02/2016

Project name: EPSRC Centre for Innovative Manufacturing in Intelligent Automation - Feasibility Study

EPSRC, £49,924.00.

Principal Investigator: S Nefti-Meziani (50%). Co-Investigator: S Davis (50%).

Start date: 05/2015

Project name: KTP with HellermannTyton Ltd

Technology Strategy Board, £152,176.00.

Principal Investigator: S Nefti-Meziani (50%). Co-Investigator: S Davis (50%).

Start date: 05/2014

Project name: Sustainable Manufacturing through Robotics Training in Europe (SMART-E)

EC (Framework), €4M.

Principal Investigator: S Nefti-Meziani (83%). Co-Investigators: S Davis (10%), P Scarf (7%).

Start date: 10/2013

Project name: GAMMA: Growing Autonomous System Mission Management Applications (£9M)

Regional Growth Fund, £312,137.00.

Principal Investigator: S Nefti-Meziani

Start date: 01/2012

Project name: The Aerospace Supply Chain Excellence (ASCE) 2 Programme ( £16M)

Principal Investigator: S Nefti-Meziani

Start date: 06/2012

Project name: Challenging established rules for train control through a fault tolerance approach

EPSRC, £345,887.00.

Principal Investigator: T Mei (66%). Co-Investigator: S Nefti-Meziani (34%).

Start date: 02/2010

Project name: ASTRAEA T7

BAE Systems, £20,000.00.

Investigator: S Nefti-Meziani (100%).

Start date: 08/2008

Project name: NovelQ - Novel processing methods for the production and distribution of high quality and safe foods

EU, £71,725.00.

Investigators: S Nefti-Meziani (35%), J Gray (50%), D Caldwell (15%).

Start date: 03/2008

Project name: Academic Fellowship 2004 (Virtual Environments and Future Workspaces Research Centres)

EPSRC, £125,000.00.

Investigator: S Nefti-Meziani (100%).

Start date: 06/2007

Project name: The portal for projects and communities in the virtual organisation domain (VE-Forum)

EC (Framework), £136,106.00.

Investigators: S Nefti-Meziani (30%), G Cooper (30%), Y Rezgui (40%).

Start date: 01/2005

Dr Steve Davis graduated from the University of Salford with a degree in Robotic and Electronic Engineering in 1998 and an MSc in Advanced Robotics in 2000. He then became a Research Fellow gaining his PhD in 2005 before moving to the Italian Institute of Technology in 2008 as a Team Leader. He returned  to Salford in 2012 as a Lecturer in Manufacturing Automation and Robotics.  His research interests include soft robotics, actuators, biologically inspired systems, biomimetics, humanoid robots, end-effectors and dexterous hands, industrial automation and automation for the food industry. He  has published extensively with more than 63 publications, many in high impact factor journals such as SoRo. He has also co-authored chapters in two books on automation and has two patent. In addition he contributed to the UK-RAS White Paper “Agricultural Robotics: the Future of Robotic Agriculture”  and has produced 40+ confidential reports for food, and other, companies highlighting to them potential areas of automation. These companies have ranged from small family businesses through SMEs to large multinational organisations. Dr Davis has been associate editor at several IEEE conferences and was  Guest Editor of special editions of the journal Actuators. He has experience of attracting research funding, most notably the €3,948,470 Marie Curie Initial Training Networks (ITN) SMART-E (Sustainable Manufacturing through Advanced Robotics Training in Europe).

Research Grants

  • GAMMA: Growing Autonomous System Mission Management Applications, Regional Growth Fund, 12/10/2012  
  • Marie Curie Initial Training Networks (ITN). Co-I Sustainable Manufacturing through Advanced Robotics Training in Europe. November 2013 – October 2017. €3,948,470.  
  • KTP – Hellerman Tyton. TSB. £169,502, November 2013.  
  • Soft, safe and variable stiffness continuum manipulators. EPSRC Centre for Innovative Manufacturing, May 2014, £50,000.
  • ntegrated Innovation for Nuclear Decommissioning. Innovate UK. December 2017. £121,278.
  • Future AI and Robotics for Space (FAIRSPACE) Hub. EPSRC. November 2017. ~£700,000
  • See Dr Steve Davis' research profile on SEEK
  • See Dr Steve Davis' publications on USIR

Dr Theo Theodoridis holds a PhD degree on crime recognition surveillance robots from the University of Essex, UK. He worked as a postdoctoral research officer (EPSRC grand) on multimodal human-robot interfaces, visual guidance as well as pattern recognition control methods at NASA Jet Propulsion Laboratory (JPL). Currently he is working as a lecturer in robotics, mechatronics and advanced embedded systems in the school of CSE at Salford University in Manchester, UK, and he is an active researcher and a supervisor of several PhD students. He has been a principal and co-investigator of several research grants and attracted funding at a national level (Regional Growth Fund: CO-I, £312K, Medical Research Council: CO-I, £91K, Innovate UK: CO-I, £50K, BBC RDF-TV: PI-I, £10K, and CST RDF Fund: PI-I, £6K). He is also a honorary visiting professor in Mechatronics at Manipal University – Dubai, and the inventor of the home service robot Carebot that has participated in a BBC documentary attracting significant national media coverage. Also, Dr Theodoridis is a reviewer and author of several leading journals of the field such as the IEEE transactions on Systems Man and Cybernetics, Human-Machine Systems, and Evolutionary Computation.

Research Grants

Dr Saber Mahboubi received the bachelor’s degree in power engineering from the University of Rajaee, Tehran, Iran, and the M.Sc. degree in mechatronics from the University
of Tabriz, Iran. Before his Ph.D., he worked as a researcher fellow with the Max Planck Institute for Biological Cybernetics, Germany.  He then became a Marie Curie research fellow gaining his PhD in Robotics from the University of Salford, UK. He is currently
a post-doctoral research fellow at the centre of Autonomous System and Robotics, University of Salford.Saber’s research interests include biologically inspired systems, variable impedance mechanisms, robust control, Robotic manipulation and artificial intelligence.

Dr Majeed Soufian (MIEEE) has a history of successful research collaboration and funding alongside a commitment to teaching and development of young researchers and PhD students. His research collaborations include both academic, industrial and government agency partners. He obtained his degrees from UMIT (University of Manchester), MMU and University of Oxford.  Dr Soufian has published with others over 70 research articles in international conferences and journals with a research interest in eSystem engineering, robotics, machine learning and AI, computer science and software with applications in modelling, control, autonomous vehicle navigation, IoT, data science, pharmaceutical, medical microbiology, health, nuclear, Cybersecurity of industrial automation and autonomous systems especially CAV (Connected and Autonomous Vehicle) and so on. He has reviewed articles for many scientific publications for Chapman & Hall, SAGE, Elsevier, ACS publication, Sciedu press and sits on the International Editorial Review Board of Artificial Intelligence Research (AIR), and International Programme and Steering Committees of "Developments in eSystems Engineering (DeSE)". He has had and been involved in a grant portfolio of over £1.3M funded by major research councils, DTI, industrial partners and universities.

His industrial experience also includes establishing and managing an industrial R&D group for design and development of an electro-optic sensor and semi-automatic navigation system of an autonomous mobile object, and over four years in Numerical Algorithms Group where his expertise were utilised in the development and porting of numerical algorithms (the .Net optimisation routines that can be used for machine learning) with some HPC (High Performance Computing) practices. He has also worked as a visiting scientist in STFC (Science and Technology Facility Council), Daresbury Laboratories toward a feasibility study of multiscale modelling and developing a distributed system software for it.

  1. A. Atyabi, M. Luerssen, S.P. Fitzgibbon, T. Lewis & D.M.W. Powers, Reducing training requirements for brain-computer interfaces through evolutionary dimension reduction and subject transfer, To be Submitted.
  2. T. Theodoridis and H. Hu, The Bionomial Neighbour Instance-Based Learner on a Multiclass Performance Measure Scheme. [In review]
  3. T. Theodoridis and H. Hu, Biomechanical Modelling of Aggressive Human Ballistics. [In review]
  4. T. Theodoridis and H. Hu, Evolving Fuzzy Sets for Heterogeneous Data Fusion Optimisation with Genetic Programming. [In review]
  5. A. Atyabi, & D.M.W. Powers, Review of classical and heuristic-based navigation and path planning approaches, International Journal of Advancements in Computing Technology(IJACT), Accepted, 2013.
  6. T. Theodoridis, H. Hu, K. McDonald-Maier, and Dongbing Gu, Kinect Enabled Monte Carlo Localisation for a Robotic Wheelchair, Intelligent Autonomous Systems, Advances in Intelligent Systems and Computing (Springer'13), vol. 193, no. 12, Jun. 26-29, 2013, pp. 153-163.
  7. T. Theodoridis and H. Hu, Modelling Aggressive Behaviours with Evolutionary Taxonomers, IEEE Transactions on Human-Machine Systems, (THMS'13), vol. 43, no. 3, Mar. 2013, pp. 302–313.
  8. Atyabi, A., Anderson, T., Treharne, K., Leibbrandt, R.E. and Powers, D. (2013). Magician Simulator: From Simulation to Robot Teaming. Journal of Next Generation Information Technology (JNIT), Accepted, 2013.
  9. A. Atyabi, M. Luerssen, S.P. Fitzgibbon & D.M.W. Powers, PSO-Based Dimension Reduction of EEG Recordings: Implications for Subject Transfer in BCI, Neurocomputing, Elsevier, Vol. 119, pp. 319–331, 2013.
  10. S. Davis, Darwin G. Caldwell. "Biologically Inspired Damage Tolerance in braided pneumatic Muscle Actuators" accepted for publication in Journal of Intelligent Material Systems and Structures. Volume 23 Issue 3 February 2012 pp. 309 - 321. (Impact Factor 1.604)
  11. Awatef AL Azemi, Samia Nefti, Umar Manzoor and Y.Rezgui (2012) "Building a bilingual Bio-ontology Platform for Knowledge Discovery". To appear in International Journal of Innovative Computing Information and Control. [Impact Factor 2.932. Ranking Fact: 11 in CS and AI categories]
  12. Murano, Pietro & Oenga, Kennedy K. (2012) The Impact on Effectiveness and User Satisfaction of Menu Positioning on Web Pages, International Journal of Advanced Computer Science and Applications, Vol. 3, Issue 9, September 2012.
  13. T. Theodoridis and H. Hu, Towards Intelligent Security Robots: A survey, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Cybernetics, (TSMC'11), vol. 42, no. 6, Mar. 2012, pp. 1219–1230.
  14. Murano, Pietro, Gee, Anthony & Holt, Patrik O'Brian (2011) Evaluation of an Anthropomorphic User Interface in a Travel Reservation Context and Affordances, Journal of Computing, Volume 3, Issue 8, August 2011.
  15. Murano, Pietro & Holt, Patrik O'Brian (2011) Evaluation of Human-Like Anthropomorphism in the Context of Online Bidding and Affordances, Journal of Computing, Vol 3, Issue 6, June 2011.
  16. Murano, Pietro & Sethi, Tanvi (2011) Anthropomorphic User Interface Feedback in a Sewing Context and Affordances, International Journal of Advanced Computer Science and Applications, Vol 2, Issue 4, April 2011.
  17. Murano, Pietro & Holt, Patrik O'Brian (2011) Evaluation of Anthropomorphic Feedback for an Online Auction and Affordances, International Journal of Computer Science Issues, Vol 8, Issue 2, March.
  18. Umar Manzoor, Samia Nefti (2011) "iDetect: Content Based Monitoring for Complex Network using Mobile Agents" to appear in Elsevier - Applied Soft Computing [Impact Factor 2.4]
  19. Samia Nefti-Meziani, Umar Manzoor (2011) "Ambient Assisted Living using reinforcement learning concept for Monitoring Patients with dementia" in Journal International Journal of Intelligent Computing Research.
  20. William Hinojosa, Samia Nefti-Meziani & Uzay Kaymak (2011), "Systems Control with Generalised Probabilistic Fuzzy Reinforcement Learning", IEEE Transaction on Fuzzy Systems. IEEE transactions on fuzzy systems, 19(1), 51-64.
  21. Umar Manzoor, Samia Nefti (2011)"Smart Intelligent Fault Tolerant Framework for Business Applications - SIFTFBA" to appear in special issue of International Journal of Technology Management (IJTM), 2011.
  22. Umar Manzoor, and Samia Nefti (2011) "Autonomous Agents: Smart Network Installer and Tester (SNIT)" Expert System with Application, Vol. 38, Issue 1, Pages 884-893. [5-Year Impact Factor 3.162, Ranking Fact: 15 in Computer Science and Artificial Intelligence Journals].
  23. Umar Manzoor, Samia Nefti, Yacine Rezgui (2011) "Categorization of Malicious Behaviours using Cognitive Agents - CMBCA" in Elsevier - Data and Knowledge Engineering. [Impact Factor 1.745]
  24. A. Pettersson, T. Ohlsson, S. Davis, J.O. Gray and T.J. Dodd. "A hygienically designed force gripper for flexible handling of variable and easily damaged natural food products". Journal Innovative Food Science and Emerging Technologies. Volume 12, Issue 3, July 2011, Pages 344-351. (Impact Factor 2.825 [5 year 2.861])
  25. Umar Manzoor, Samia Nefti (2011) "HERMIT: A new Methodology for Creating Autonomous Software Deployment Packages" accepted for publication in International Journal of Innovative Computing Information and Control. [Impact Factor 2.932. Ranking Fact: 11 in CS and AI categories]
  26. S. Davis and Darwin G. Caldwell. “A Dexterous Robot Hand for Museum Exhibition. Design, Installation and Maintenance”. Vol.13, No.6. Information, An International Interdisciplinary Journal. November 2010.
  27. P R Hampson and M Moatamedi,(2010) "Fluid structure interaction of submerged metallic and composite plates subjected to low velocity impact loading", International Journal of Crashworthiness, 15(1):p. 49-58.
  28. Manzoor, U & Nefti-Meziani, S & Atique, A & Atique (2010), "V-NIP Ceaser: Video Stabilization System", Communications in Computer and Information Science, LNCS, Springer ISSN: 1865-0929.
  29. K.Manzoor, U.Manzoor, Samia Nefti (2010) "An Efficient System for Video Stabilization by Differentiating between Intentional and Un-Intentional Jitters" in International Journal of Knowledge Society Research Learning (IJKSR).
  30. Umar Manzoor, and Samia Nefti, (2010)"QUIET: A Methodology for Autonomous Software Deployment using Mobile Agents", Journal of Network and Computer Applications, Vol. 33, Issue 6, Pages 696-706.
  31. S. Davis, J Gray and Darwin G. Caldwell. "Automation for Value Added Prepared Vegetables - The Brussels Sprout" Journal Trends in Food Science and Technology. Vol. 21, No.3, March 2010. (Impact Factor 3.710 [5 year 5.531])
  32. A. Petterson, T. Ohlsson, D.G. Caldwell, S. Davis, J.O. Gray, and T.J. Dodd "A Bernoulli principle gripper for handling of planar and 3D (food) products", Industrial Robot: An International Journal, Vol. 37 Issue: 6. 2010. (Impact Factor 0.655)
  33. A. Pettersson, S. Davis, J.O. Gray, T.J. Dodd, T. Ohlsson. "Design of a magnetorheological robot gripper for handling of delicate food products with varying shapes". Journal of Food Engineering, Vol 98, Issue 3. June 2010. (Impact Factor 2.168 [5 year 2.616])
  34. S. Davis and Darwin G. Caldwell. "A Dexterous Robot Hand for Museum Exhibition. Design, Installation and Maintenance". Vol.13, No.6. Information, An International Interdisciplinary Journal. November 2010.
  35. Umar Manzoor, Samia Nefti (2010) "Smart delivery: a cooperative multi-agent framework for optimised delivery service" International Journal of Knowledge and Learning (IJKL), Vol. 6, Issue 2/3, Pages 240-255.
  36. E. Chadwick, H. Khan, M. Mappin, M. Penney, M. Moatamedi (2010) "Experimental verification of an Oseen flow slender body theory", J. Fluid Mech. 654 271-279.
  37. E. Chadwick and A Hatam (2010) "Slender body expansions in potential theory along a finite straight line", ZAMP 61(3) 493-508.
  38. A. Atyabi, S.P. Amnuaisuk, & C.K. Ho, Navigating a robotic swarm in an uncharted 2D landscape, Applied Soft Computing 10, Elsevier, doi:10.1016/j.asoc.2009.06.017, pp. 149–169, 2010.
  39. A. Atyabi, S.P. Amnuaisuk, & C.K. Ho, Applying Area Extension PSO in Robotic Swarm, J Intell Robot System, Springer DOI 10.1007/s10846-009-9374-2, 2009.
  40. E.A. Chadwick (2009) "A slender body theory in Oseen flow obtained by expanding the Oseenlets in the Green's integral representation", Fluid. Dyn. Res. 41 045508 (17pp).
  41. E.A. Chadwick and A. Hatam (2009) "A further note on the force discrepancy for wing theory in Euler flow", Proc. Math. Sci. 119 679-698.
  42. Umar Manzoor, Samia Nefti (2009)"Distributed Cognitive Mobile Agent Framework for Social Cooperation: Application for Packet Moving" Lecture Notes in Computer Science, springer, Vol. 5736, Pages 584-593.
  43. Umar Manzoor and Samia Nefti (2009) "An agent based system for activity monitoring on network - ABSAMN". Expert Systems with Applications (2009), Vol. 36, Issue 8. [5-Year Impact Factor 3.162, Ranking Fact: 14 in Computer Science and Artificial Intelligence Journals]
  44. Umar Manzoor, Samia Nefti (2009)"Silent Intelligent Autonomous Network Installer - SIANI" Lecture Notes in Computer Science, springer, Vol. 5736, Pages 543-552.
  45. Umar Manzoor, Samia Nefti (2009). "Cognitive Agent for Automated Software Installation" Lecture Notes in Computer Science, Visioning and Engineering the Knowledge Society. Volume 5736/2009,pp 543-552.
  46. Samia Nefti, Mourad Oussalah, Yacine Rezgui (2009): A Modified Fuzzy Clustering for Documents Retrieval: Application to Document Categorization. JORS 60(3): 384-394
  47. Umar Manzoor, Samia Nefti, Haris Hasan, Majid Mehmood, Bassam Aslam and Osama Shaukat (2008). "A Multi-Agent Model for Mine Detection - MAMMD" in Lecture Notes in Computer Science, Emerging Technologies and Information Systems for the Knowledge Society, Springer, pp 139-148, Vol 38.
  48. S.Nefti, M.Oussallah and U Kaymak (2008) "A New Merging Technique using Inclusion Based Fuzzy Clustering" IEEE Transaction on Fuzzy system, 16(1), 145-161. 5-Year Impact Factor:4..6, (Rank Fact: 5).
  49. S. Davis, J.O. Gray, D.G. Caldwell, "A Non-Contact End Effector Based on the Bernoulli Principle for the Handling of Sliced Tomatoes", International Journal of Robotics and Computer Integrated Manufacture, Vol 24, No 2, 2008. (Impact Factor 1.254 [5 year 1.497])
  50. M.Oussalah, S.Nefti and A. Eltigani (2008) "Personalized Information Retrieval system in the Framework of Fuzzy Logic". Expert systems with applications, Elsevier, Volume 35, Issues 1-2. [5-Year Impact Factor 3.162, Ranking Fact: 14 in Computer Science and Artificial Intelligence Journals]
  51. S.Nefti and M.Oussalah (2008) "On the use of divergence distance in fuzzy clustering". Fuzzy Optimization and Decision Making, Springer.Vol. 7, Number2,pp 147-167. [Ranking Fact: 17 in C S Journals].
  52. E. Chadwick (2008) "Infinite boundary elements for electromagnetics", Int. J. Numer. Meth. Engng. 74 1716-1732.
  53. S. Davis, M.G. King, J.W. Casson, J.O.Gray and Darwin G Caldwell “End Effector Development for Automated Sandwich Assembly” Journal of the Institute of Measurement and Control, Vol 40, No 7, 2007.
  54. P R Hampson and M Moatamedi, (2007) "A review of composite structures subjected to dynamic loading", International Journal of Crashworthiness, 12(4): p. 411-428.
  55. S. Davis, J. Casson, R. J. Moreno-Masey, M. King, J.O. Gray and Darwin G. Caldwell. "Robot Prototyping in the Design of Food Processing Machinery". Industrial Robot, An International Journal. Vol 34, No 2, 2007.
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  58. F.Meziane, S.Nefti (2007). "Fuzzy information retrieval system for Ecommerce". International Journal of Intelligent Information Technologies, 3(4):25-39.
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  1. C. Assad, M. Wolf, T. Theodoridis, K. Glette, and A. Stoica, BioSleeve: a Natural EMG-Based Interface for HRI, 8th ACM/IEEE Int. Conference on Human-Robot Interaction (HRI'13), Mar. 3-6, 2013, pp. 69-70.
  2. A. Stoica, T. Theodoridis, D. F. Barrero, H. Hu, and K. D. McDonald-Maier, Towards Human-Friendly Efficient Control of Multi-Robot Teams, ACM/IEEE/IFIP International Conference on Collaboration Technologies and Systems (CTS'13), May 20-24, 2013, pp. .
  3. Drumm, I & Belantara, A & Waters T & Dorney, S & Peris, E, 'The Aeolus project: Science outreach through art', Public Understanding of Science, Autumn 2013
  4. Fazenda, B & Drumm, I 2013, 'Recreating the Sound of Stonehenge', Acta Acustica united with Acustica, 99, pp.110-117.
  5. Drumm, I & Oldfield, R 2013, ‘The Optimization of Wave Field Synthesis for Real-Time Sound Sources Rendered in Non-Anechoic Environments’, AES 135 New York
  6. Oldfield, R & Drumm, I 2013 ‘Defining the Un-Aliased Region for Focused Sources’, AES 135 New York.
  7. Atyabi, A. and Powers, D. (2013). Cooperative Area Extension of PSO Transfer Learning vs. Uncertainty in a simulated Swarm Robotics. In 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO). 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO).
  8. T. Theodoridis, H. Hu, K. McDonald-Maier, and D. Gu, A Recursive Bayesian Filter for Landmark-Based Localisation of a Robotic Wheelchair, IEEE Int. Conference on Systems and Computer Science (ICSCS'12), Aug. 29-31, 2012, pp. 29-31. [bib][pdf]
  9. Atyabi, A., Luerssen, M., Fitzgibbon, S. and Powers, D. (2012). Adapting Subject-Independent Task-Specific EEG Feature Masks using PSO. In A Abbass, D Essam & R Sarker, ed. Proceedings of the IEEE Congress on Evolutionary Computation. IEEE CEC 2012.
  10. Atyabi, A., Luerssen, M., Fitzgibbon, S. and Powers, D. (2012). Dimension Reduction in EEG Data using Particle Swarm Optimization. In A Abbass, D Essam & R Sarker, ed. Proceedings of the IEEE Congress on Evolutionary Computation. IEEE CEC 2012.. [Nominated for best paper award]
  11. Atyabi, A., Luerssen, M., Fitzgibbon, S. and Powers, D. (2012). Evolutionary feature selection and electrode reduction for EEG classification. In A Abbass, D Essam & R Sarker, ed. Proceedings of the IEEE Congress on Evolutionary Computation. IEEE CEC 2012.
  12. Atyabi, A., Luerssen, M., Fitzgibbon, S. and Powers, D. (2012). The Impact of PSO based Dimension Reduction on EEG classification. In FM Zanzotto, S Tsumoto, N Taatgen & Y Yao, ed. Brain Informatics International Conference Proceedings. Brain Informatics 2012. pp. 220-231
  13. Powers, D.M. and Atyabi, A. (2012). The Problem of Cross-Validation: Averaging and Bias, Repetition and Significance. In Spring World Congress on Engineering and Technology: Proceedings. SCET2012.
  14. Atyabi, A., Fitzgibbon, S. and Powers, D. (2012). Biasing the Overlapping and Non-Overlapping Sub-Windows of EEG recording. In A Abbass, D Essam & R Sarker, ed. Proceedings of the 2012 International Joint Conference on Neural Networks. IJCNN2012.
  15. Atyabi, A., Fitzgibbon, S. and Powers, D. (2012). Multiplication of EEG samples through Replicating, Biasing, and Overlapping. In FM Zanzotto, S Tsumoto, N Taatgen & Y Yao, ed. Brain Informatics International Conference Proceedings. Brain Informatics 2012. pp. 209-219
  16. Powers, D.M., Atyabi, A. and Anderson, T. (2012). MAGIC Robots - Resilient Communications: A Guaranteed Redundant Expansible Mesh Built on Unreliable Media. In Spring World Congress on Engineering and Technology: Proceedings. SCET2012.
  17. Atyabi, A. and Powers, D.M. (2012). The impact of segmentation and replication on non-overlapping windows: An EEG study. In Proceedings of 2012 IEEE International Conference on Information Science and Technology. ICIST 2012. pp. 668-674.
  18. Drumm, I & Belantara, A 2012, Touring a singing sculpture to promote acoustics, in: 'Touring a singing sculpture to promote acoustics', IOA, Nantes, France.
  19. Atyabi, A., Fitzgibbon, S.P. and Powers, D. (2011). Multiplying the Mileage of Your Dataset with Subwindowing. In Hu, Bin and Liu, Jiming and Chen, Lin and Zhong, Ning, ed. Lecture Notes in Computer Sciences, Vol 6889. Brain Informatics 2011. pp. 173-184.
  20. Atyabi, A., Anderson, T.A.F., Treharne, K. and Powers, D.M. (2011). Magician Simulator. In Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010). Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010).
  21. T. Theodoridis, A. Agapitos, and H. Hu, A Gaussian Groundplan Projection Area Model for Evolving Probabilistic Classifiers, Genetic and Evolutionary Computation Conference (GECCO'11), Jul. 12-16, 2011, pp. 1339-1346.
  22. A. Agapitos, M. O’Neill, A. Brabazon, and T. Theodoridis, Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning, 14th European Conference on Genetic Programming (EUROGP'11), Apr. 27-29, 2011, pp. 61-72.
  23. A. Agapitos, M. O'Neill, Anthony Brabazon, and T. Theodoridis, Learning Environment Models in Car Racing using Stateful Genetic Programming,  IEEE Int. Conference on Computational Intelligence and Games (CIG'11), Aug. 31 - Sep. 3, 2011
  24. Umar Manzoor, Samia Nefti, and Janita Irfan (2011) "Cognitive Agent based Intelligent Warning System to Monitor Patients Suffering from Dementia using Ambient Assisted Living" in the proceeding of World Congress on Internet Security (WorldCIS-11), London, UK.
  25. Umar Manzoor, Samia Nefti (2011) "HERMIT: A new Methodology for Creating Autonomous Software Deployment Packages".
  26. Chadwick, E and Rahulan, T (2011),"A theoretical model evaluating leading order vortex decay behind an aircraft", Proceedings of the Institution of Mechanical Engineers, Part G, Journal of Aerospace Engineering, vol 225, issue 6, ISSN 0954-4100, pp 657 - 663.
  27. T. Theodoridis, A. Agapitos, H. Hu, and S. M. Lucas, A QA-TSK Fuzzy Model versus Evolutionary Decision Trees Towards Nonlinear Action Recognition, IEEE Int. Conference on Information and Automation (ICIA'10), Jun. 20-23, 2010, pp. 1813-1818.
  28. T. Theodoridis, P. Theodorakopoulos, and H. Hu, Evolving Aggressive Biomechanical Models with Genetic Programming, IEEE/RSJ Int. Conference on Intelligent Robots and Systems, (IROS'10), Oct. 18-22, 2010, pp. 2495-2500.
  29. Atyabi, A. and Powers, D.M. (2010). The Use of Area Extended Particle Swarm Optimization (AEPSO) in Swarm Robotics. In Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010). Eleventh International Conference on Control, Automation, Robotics and Vision (ICARCV 2010).
  30. Murano, Pietro & Holt, Patrik O'Brian (2010) Evaluation of an Anthropomorphic User Interface in a Telephone Bidding Context and Affordances, 12th International Conference on Enterprise Information Systems, Madeira, Portugal, 8-12 June. (c) - INSTICC. In Cooperation With ACM SIGCHI.
  31. Murano, Pietro & Tuah, Nooralisa Mohd (2010) Effectiveness and Preferences of Anthropomorphic Feedback in a Statistics Context , 12th International Conference on Enterprise Information Systems, Madeira, Portugal, 8-12 June. (c) - INSTICC. In Cooperation With ACM SIGCHI.
  32. Oldfield, R & Drumm, I & Hirst, J M 2010, 'A Finite Difference Time Domain Approach to Analysing Room Effects on Wave Field Synthesis Reproduction', 124th Conv, Audio Eng. Soc...
  33. Umar Manzoor, Samia Nefti, Yacine Rezgui (2010): Autonomous Malicious Activity Inspector - AMAI. NLDB 2010: 204-215.
  34. Umar Manzoor, and Samia Nefti, (2010) "Cognitive Agent based Intelligent Warning System to Monitor Patients Suffering from Dementia using Ambient Assisted Living" accepted for publication in IEEE International Conference on Information Society.
  35. Umar Manzoor, and Samia Nefti (2010) "Autonomous Malicious Activity Inspector - AMAI" under review in International Conference on Applications of Natural Language to Information Systems.
  36. Rosidah Sam and Samia Nefti, (2010) "Design and feasibility tests of multi-functional gripper for handling variable shape of food products", IEEE International Conference on System, Man and Cybernetics, October 10-13, Istanbul, Turkey.
  37. S. Davis and Darwin G Caldwell. “Biomimetic Design for Bipedal/Quadrupedal Motion in a Robotic Primate”. IEEE International Conference on Information and Automation ICIA 2010. Heilongjiang, China. June 2010.
  38. S. Davis and Darwin G. Caldwell. “The Development and Maintenance of a Reliable Interactive Dexterous Robotic Hand for Museum Exhibition”. IEEE International Conference on Information and Automation ICIA 2010. Heilongjiang, China. June 2010.
  39. S. Davis, D.G. Caldwell. “The Design of an Anthropomorphic Dexterous Humanoid Foot”. IEEE International Conference on Intelligent Robots and Systems. Taipei, Taiwan. October 2010.
  40. S. Davis, J.O.Gray and Darwin G Caldwell. “Compliance and Variable Stiffness Actuation in a Robotic Primate” International Workshop on Human Adaptive Mechatronics (HAM) 2010, Loughborough University, UK, 13-14 May, 2010
  41. Drumm, I & Oldfield, R 2010, The prediction of synthesised wavefields within realistic room acoustics scenarios, in: 'The prediction of synthesised wavefields within realistic room acoustics scenarios', ICA, Sydney, Australia.
  42. E. Chadwick and T. Rahulan (2009) "A vortex decay model for evaluating safety separation distances for classes of aircraft stipulated by the International Civil Aviation Authority (ICAO)", 2009 CEAS European Air and Space Conference.
  43. Rosidah Sam and Samia Nefti (2009) "A new design approach of robotic gripper for reducing cost of handling food products", Cybernetics Intelligent Systems, IEEE International Conference on, 2009, Birmingham.
  44. Umar Manzoor, Samia Nefti (2009) "Silent Unattended Installation / Un-Installation of Software's on Network Using NDMAS - Network Deployment Using Multi-Agent System" in the proceeding of The Fourth European Conference on Intelligent Management System In Operations (IMSIO 2009), July , UK.
  45. El-Mabrouk, Samia Nefti (2009): "New deformable model for soft tissue modelling", ICET 2009.
  46. El-Mabrouk, Samia Nefti(2009): "Neural Network modelling for cataract eye surgery Simulation", Cybernetics Intelligent Systems 2009, IEEE International Conference on, Birmingham, UK.
  47. S.Nefti: Irrational Particle swarm optimasation. 3rd December 2009.
  48. T. Theodoridis and H. Hu, A Fuzzy-Convolution Model for Physical Action and Behaviour Pattern Recognition of 3D Time Series, IEEE Int. Conference on Robotics and Biomimetics (Robio'08), Feb. 21-26, 2009, pp. 407-412.
  49. T. Theodoridis, A. Agapitos, H. Hu, and S. M. Lucas, Mechanical Feature Attributes for Modeling and Pattern Classification of Physical Activities, IEEE Int. Conference on Information and Automation (ICIA'09), Jun. 22-24, 2009, pp. 528-533. [Nominated for best paper award]
  50. Drumm, I 2009, The application of a hybridised finite element / finite difference time domain technique for the modelling of systems common in room acoustics and musical acoustics., in: 'Internoise 2009 proceedings', Internoise, Ottawa, Canada. Conference details: INTER-NOISE 2009.
  51. T. Theodoridis, A. Agapitos, H. Hu, and S. M. Lucas, Ubiquitous Robotics in Physical Human Action Recognition: A Comparison Between Dynamic ANNs and GP, IEEE Int.Conference on Robotics and Automation (ICRA'08), May 19-23, 2008, pp. 3064-3069.
  52. Drumm, I 2008, Importing arbitrary complex objects with a FDTD based prediction application, in: 'Acoustics 08 Paris ', ASA, Reading , UK. Conference details: Acoustics 08 Paris.
  53. Oldfiled, R & Hirst, J M & Drumm, I 2008, A Finite Difference Time Domain Approach to Analysing Room Effects on Wave Field Synthesis Reproduction, in: 'AES ', AES, Amsterdam, Holland. Conference details: 124th Conv, Audio Eng. Soc., Amsterdam, Preprint 7359, May 2008.
  54. Drumm, I 2008, The scanning and voxellisation of complex 3D objects for incorporation within Finite Difference Time Domain based acoustic prediction, in: 'IOA Spring Conference 2008 Proceedings', IOA, Reading, UK. Conference details: IOA Spring Conference 2008, 10-11 April 2008, Reading, UK.
  55. Davis S, Moreno Masey R, Gray J O, Caldwell D G. “The design of a low cost robot for the food industry”. IET Control 2008. Manchester. Sept. 2008.
  56. S. Davis, N.G. Tsagarakis and Darwin G. Caldwell. “The Initial Design and Manufacturing Process of a Low Cost Hand for the Robot iCub”. IEEE International Conference on Humanoid Robots. Korea. Dec 2008.
  57. A. Atyabi & S.P. Amnuaisuk, C.K. Ho, Effectiveness of a cooperative learning version of AEPSO in homogeneous and heterogeneous multi robot learning scenario. The 2008 World Congress on Computational Intelligence (WCCI 2008), pp. 3889-3896, 2008.
  58. S. Barresi, S. Nefti, Y. Rezgui (2008), "A Concept Based Indexing Approach for Document Clustering", ICSC, pp. 26-33, IEEE International Conference on Semantic Computing, pp 26-33.
  59. Rosidah Sam and Samia Nefti (2008), "Design and development of flexible robotics gripper for handling food products", Control, Automation, Robotics and Vision ICARCV, International Conference on, Hanoi, 1684-1689, Vietnam
  60. N. Costa, S. Nefti, D. Caldwell (2008)"Autonomy and Independence Amongst Patients with Cognitive Impairments", IET Assisted Living in Conference Proceedings, London UK,2008.
  61. N.Costa, S. Nefti, Darwin G.Caldwell (2008), Powered Lower Limb Orthosis for Human Assistance and Neurorehabilitation, CLAWAR Coimbra, Portugal, 8-10 Sept, 2008.
  62. W. Hinojosa and S.Nefti (2008)"Reinforcement Learning for Probabilistic Fuzzy Controllers", UKACC Control ,3-6.
  63. Umar Manzoor, and Samia Nefti, (2008) "Silent Unattended Installation Package Manager - SUIPM" in the proceeding of IEEE International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA), Vienna, Austria, 10-12 December.
  64. Umar Manzoor, and Samia Nefti, (2008) "Agent Based Activity Monitoring System - ABAMS" in the proceeding of IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), pp 200-203, Dayton, USA, 3-5 November.
  65. T. Theodoridis and H. Hu, Action Classification of 3D Human Models Using Dynamic ANNs for Mobile Robot Surveillance, IEEE Int. Conference on Robotics and Biomimetics (Robio'07), Dec. 15-18, 2007, pp. 371-376. [Nominated for best paper award]
  66. A. Atyabi & S.P. Amnuaisuk, Particle swarm optimization with area extension (AEPSO). IEEE Congress of Evolutionary Computation CEC'07, Stamford University, Singapore, pp. 1970-1976, 2007.
  67. A. Atyabi, S.P. Amnuaisuk & C.K. Ho, Effects of communication range, noise and help request signal on particle swarm optimization with area extension (AEPSO). The 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology ACM, pp. 85-88, 2007.
  68. A. Atyabi, S.P. Amnuaisuk & C.K. Ho, Particle Swarm Optimizations: A Critical Review, Proceeding of Conf IKT07, Third conference of Information and Knowledge Technology, Ferdowsi University, Iran, 2007.
  69. P R Hampson, (2007) "Experimental and numerical study of composite material subjected to low velocity impact" Proceedings of the Salford Postgraduate Annual Research Conference, 10-11 May, ISBN 978-1-905732-42-5.
  70. S.Baresi, S.Nefti, Y.Rezgui (2007): "A New Conceptual Approach to Document Indexing", Eight International Conference on Intelligent Text Processing and Computational Linguistics, (CICLing 2007), IEEE CS Press.
  71. Y.Rezgui, S.Nefti (2007): "Semantic Mapping using fuzzy framework". ICIS, Madeira Island, Portugal, 12-17 June.
  72. Yacine Rezgui, Samia Nefti (2007): Ontology-Based Dynamic Service Composition Using Semantic Relatedness and Categorization Techniques. ICEIS (4) : 113-120
  73. S. Davis, Darwin G. Caldwell “Automated Handling, Assembly and Packaging of Highly Variable Compliant Food Products - Making a Sandwich” IEEE Conference on Robotics and Automation. Rome, Italy. April 2007. Best Automation paper finalist.
  74. Jeong, H & Drumm, I & Horner, B & Lam, Y W 2007, 'The modelling of frequency dependent boundary conditions In FDTD simulation of concert hall acoustics', Proc. 19th International Congress on Acoustics, Paper RBA-06-014-IP, Madrid, Sept. 2007.
  75. Drumm, I & Lam, Y W 2007, 'Development and assessment of a finite difference time domain room acoustic prediction model that uses hall data in popular formats', Proc. Internoise 2007, Paper IN07_022, Istanbul, August 2007.
  76. Drumm, I 2007, 'I.Drumm, A hybrid finite element / finite difference time domain technique for modelling the acoustics of surfaces within a medium', Acta Acustica united with Acustica.
  77. Drumm, I & Von hunerbein, S & Bradley, S G & Marsh, T & Martin, D J 2006, 'Meeting Individual Mathematical Needs in a Mass HE Market', MSOR Connections.
  78. Drumm, I 2006, 'Simulating Virtual Environments for Musical Performance', Futures in Acoustics IOA 2006 Spring Conference.
  79. S. Davis, Darwin G. Caldwell “Pneumatic Muscle Actuators for Humanoid applications -Sensor and Valve Integration” IEEE-RAS International Conference on Humanoid Robots December 2006. Genova, Italy.
  80. J.O. Gray, S. Davis, R. J. Moreno-Masey and Darwin G. Caldwell. “Visions for Automated Food Manufacturing”. International Symposium Food Factory of the Future 3, Gothenburg, Sweden, June 2006.
  81. S. Davis, Darwin G. Caldwell, J.O. Gray. “Automated Handling and Drying of Fresh Food Slices”. International Symposium Food Factory of the Future 3, Gothenburg, Sweden, June 2006.
  82. P.Y Chua, M. Bezdicek, S. Davis, D.G. Caldwell, J. O. Gray. “Tele-Operated High Speed Anthropomorphic Dextrous Hands with Object Shape and Texture Identification”. IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing, China October 2006.
  83. T. Theodoridis and H. Hu, The Fuzzy Sarsa(¿) Learning Approach Applied to Strategic Route Learning Robot Behaviour, IEEE/RSJ Int. Conference on Intelligent Robots and Systems, (IROS'06), Oct. 9-15, 2006, pp. 1767-1772.
  84. S.Nefti, F.Meziane and M.K. Kasiran (2005) "A Fuzzy Trust Model for E-Commerce". IEEE International Conference on E-Commerce Technology Munich, Germany.12 July.
  85. Drumm, I 2005, 'The Application of Adaptive Beam Tracing and Managed DirectX for the Visualisation and Auralisation of Virtual Environments', Information Visualisation (IV05) Conference Proceedings 2005.
  86. E.A. Chadwick (2004) "The Jump in Lift at the Trailing Edge of a Slender Wing in Potential Flow", Invited speaker, International Conference on Mathematical Fluid Dynamics, Hyderabad, India, December 2-7.
  87. S.Nefti, M.Oussalah (2004), "Probabilistic-Fuzzy Clustering Algorithm", IEEE International Conference on Systems, Man and Cybernetics, 3915-3920.
  88. S.Nefti, M.Oussalah (2004), "A Neural Network approach for Railway Safety Prediction", IEEE International Conference on Systems, Man and Cybernetics, October,10-13, Volume: 4, pp 3915- 3920, vol.4 ISSN: 1062-922X 6-9.
  89. S.Nefti, K.Djouani (2003). "Extended Fuzzy clustering based on inclusion concept" .IEEE conference on Fuzzy System USA, volume: 2, pp 869- 874, ISBN: 0-7803-7810-5Mai 25-28.
  90. Drumm, I 2003, 'Development of a modular paradigm for the physical modelling of musical instruments',Proceedings of SMAC03 Stockholm Music Acoustic Conference 2003.
  91. S. Davis, P. Tresadern, J. Canderle, N.G. Tsagarakis, P. Dodd, and Darwin G. Caldwell. “The Biomimetic Design of ‘Soft’ Mechatronic Systems”. IEEE International Conference on Advanced Robotics. Coimbra, Portugal. June/July 2003.
  92. N.G.Tsagarakis, V.A.Tsachouridis, S.Davis And D.G.Caldwell. “Modelling And Control Of A Pneumatic Muscle Actuated Joint Using On/Off Solenoid Valves”. IEEE International Conference on Advanced Robotics. Coimbra, Portugal. June/July 2003.
  93. S.Nefti, K.Djouani (2002) "Fuzzy Modelling of MIMO Non Linear System: Complexity Reduction". IEEE International Conference on Systems, Man and Cybernetics, October, Volume: 2, pp185- 189, ISSN: 1062-922X 6-9.
  94. S.Nefti.(2002). "New algorithm for simplification of rule base generated by automated fuzzy modelling". IEEE International Conference on Systems, Man and Cybernetics October,6-9, Volume: 2,pp 190- 195, ISSN: 1062-922X.
  95. S.Nefti, K.Djouani (2002). "Transparency improvement of standard fuzzy systems in case of application for control nonlinear system", IEEE International Conference on Systems, Man and Cybernetics October, Volume: 1,pp 332- 337, ISSN: 1062-922X, 6-9.
  96. S.Nefti, K.Djouani (2002) "Neuro-Fuzzy Learning Approach for Real Time Mobile Robot Navigation". The 2002 International Conference on Artificial Intelligence (IC-AI'02: USA, June 24-27).
  97. S.Nefti, K.Djouani (2002) "Neuro-Fuzzy systems for a 6 DOF Parallel Robot Force Control". The 2002 International Conference on Artificial Intelligence (IC-AI'02: , USA, June 24-27.).
  98. Lam, Y W & Drumm, I 2002, 'The Development and Implementation of Adaptive Beam Tracing', Proceedings of the Institute of Acoustics.
  99. S. Davis, N.G. Tsagarakis, D.G. Caldwell. “Biomimetic Actuators – The Need for and use of 'Soft' Actuators”. 7th International Conference on Intelligent Autonomous Systems (IAS-7). California, USA. March 25-27, 2002.
  100. S. Davis, J. Canderle, P. Artrit, N. Tsagarakis, D.G. Caldwell. “Enhanced Dynamic Performance in Pneumatic Muscle Actuators”. IEEE International Conference on Robotics and Automation. Washington, USA. May 2002.
  101. S. Davis, N.G. Tsagarakis, D.G. Caldwell. “The Need for, and Application of, ‘Soft’ Actuators”. Robotics and Machine Perception, a SPIE International Technical Group Newsletter. July 2002. [Invited Paper].
  102. D.G. Caldwell, N. Tsagarakis, P. Artrit, J. Canderle, S. Davis, G.A. Medrano-Cerda. “Biomimetic and Smart Technology Principles of Humanoid Design”. 2001 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Como, Italy. July 8-12, 2001.
  103. S.T. Davis, D.G. Caldwell. “The Biomimetic Design Of A Robot Primate Using Pneumatic Muscle Actuators”. 4rd International Conference On Climbing And Walking Robots CLAWAR. Karlsruhe, Germany. 24-26 September 2001.
  104. S. Amini, E.A. Chadwick, S.P. Nixon and S. Pistillo (2001) "Multiwavelet solution of boundary integral equation - Application to the radiosity problem", 3rd UK Conference on Boundary Integral Methods, Brighton. September 10-11.
  105. M.Beer, S.Green, S. Nefti, A. Sixsmith and J.Whatley (2000) "Education for Health Care Professionals through the Medium of the Internet", IEEE International Workshop on Advanced Learning Technologies (IWALT 2000), 4-6 December, Palmerston North, New Zealand.
  106. E.A. Chadwick (2000) "Infinite Boundary Elements", 2nd International Conference on Boundary Integral Methods, Bath. September 12-16.
  107. S.T. Davis, D.G. Caldwell. “The Design and Construction of a Pneumatically Actuated Quadruped with Biologically Inspired Legs”. 3rd Eurel Workshop and Masterclass. European Advanced Robotics Systems Development. Univ. Salford, UK. April 2000.
  108. S.T. Davis, J. Canderle, D.G. Caldwell. “A Biologically Inspired Quadruped Using Pneumatic Muscle Actuators”. 3rd International Conference On Climbing And Walking Robots CLAWAR. Madrid, Spain. 2-4 October 2000.K. Djouani, S.Nefti, Y.Amirat and G. Fried (1998 )"Neuro-Fuzzy Approach for Non-Linear System Identification and Control", In the proceeding of the ISATA Conference, June 3-5, Dusseldorf, Germany.
  109. S.Nefti, K. Djouani, Y.Amirat and G. Fried (1998): "Neuro-Fuzzy Adaptive System for Mobile robot Navigation in unknown environment", In the proceeding of the ISATA Conference, June 3-5, Germany.
  110. S.Nefti, J.Pontnau, M.Soufian (1998): "Training and adaption of a Neuro-Fuzzy System for Navigation an Unknown Environment". In the Proceeding Recent Advance in Soft Computing, Leicester UK, 02, July.
  111. S.Nefti, K.Djouani, J.Pontnau and M.Soufian (1998): "Practical Adaptive Navigation and Control of Mobile Robot Using Neuro-Fuzzy Systems". In International Federation in Automatic Control (IFAC) Proceedings August, pp.64-69, Holland.
  112. S.Nefti, M.Oussalah, K.Djouani and J.Pontnau (1998). "Clustering and Adaptive Robot Navigation in an Unknown Environment", INES 98- IEEE International Conference on Intelligent Systems, Vienna, Austria, pp 1998-2005, September.
  113. S.Nefti, K.Djouani and J.Pontnau (1998) "Neuro-Fuzzy Adaptive System for the Navigation of Mobile Robot ". EUFIT 98: The Sixth European Congress on Intelligent Techniques and Soft Computing, Germany, Volume 2, pp 798-805, September 7-10.
  114. S.Nefti, K.Djouani and J.Pontnau (1998) "Neuro-Fuzzy Adaptive System To Generate Fuzzy Behaviour for Autonomous Mobile Robot". Proceedings of the 7th International Conference on Information Processing Management of Uncertainty in Knowledge-based System (IPMU),pp1423-1429,,ISBN2-1 July 5-4, France.
  115. S.Nefti, K.Djouani, Y. Amirat and J.Pontnau (1997): "Neuro-Fuzzy Approach for an Autonomous Mobile Robot", in the Proceeding of IFAC'97, Annecy, France on June 9-11.
  116. S. Nefti, Y.Amirat, B.Lakehal and J.Pontnau (1995) "Fuzzy Control of a cleaning Mobile Robot". The Third European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, August 28-31, pp. 897-.
  117. S.Nefti (1999): "Neuro-Fuzzy Approach for Modelling and Control of MIMO Non-Linear Systems: Application to Robotics", PhD Thesis, Paris XII University, France.
  118. E.A. Chadwick (1998) "Introducing functional parallelisation for global environmental modelling", SIAM Annual Meeting, University of Toronto, Toronto, Canada. July 13-17.
  119. E.A. Chadwick (1998) "Applying functional parallelism to global models", 10th International Conference on Parallel CFD, Taiwan. May 11-14.
  120. E.A. Chadwick (1998) "A hybrid parallel algorithm for the Spectral Transform Method which uses functional parallelism", ICFD Conference on Numerical Methods for Fluid Dynamics, Oxford. March 31-April 3.
  121. R. Davies, J. Allington-Smith, P. Bettess and E. Chadwick (1997) "GMOS: the GEMINI Multiobject Spectographs" Proceedings- SPIE The International Society for Optical Engineering 2871 1099-1106.
  122. S.Nefti (1995):"Sensory information fusion for mobile robot control". MSc Thesis, July, Paris XII, France.
  123. E.A. Chadwick and P. Bettess (1995) "Modelling the wave envelope of progressive waves" Tenth International Workshop on Water Waves and Floating Bodies, proceedings published by Dept. Eng. Science, Univ. Oxford.
  124. Rahulan, T (1995),"Condition Monitoring of Process Control Valves", Proceedings of the 8th International Congress on Condition Monitoring and Diagnostic Engineering Management, ISBN 0 - 88911 - 718 - 7, vol. 1, pp. 329 - 336, Kingston, Ontario.
  125. Rahulan, T (1995),"The use of Equipment Dynamics when modelling Acceleration Feedback", International Conference on Modelling and Simulation, ISBN 0 - 88986 - 218 - 4, pp. 460 - 462, Pittsburgh, USA.
  126. Rahulan, T (1994),"Speed Loci of a Robust Aeroservoelastic Control System", Proceedings of the International Conference on Modelling, Simulation and Identification, ISBN 0 - 88986 - 202 - 8, pp. 74 - 77, Wakayama, Japan.
  127. Rahulan, T (1993),"Wing Load Alleviation Characteristics of an Aeroservoelastic Control System", Proceedings of the Twelfth International Conference on Modelling, Identification and Control, ISBN 3-7153-0003-5, pp. 230-231, Innsbruck, Austria.
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  129. Rahulan, T (1988),"Controlled Suspension Systems", Proceedings of the Sixth International Conference on Systems Engineering, ISBN 1 85316 007 6, pp. 326 - 333, Coventry, UK.
  130. Rahulan, T (1988),"Load Alleviation on Transport Aircraft using Acceleration Feedback", Control 88, Institution of Electrical Engineers Conference Publication no. 285, pp. 701 -706, London, UK.
  131. Rahulan, T (1986),"Active Flutter Suppression", Proceedings of the 15th Congress of the International Council of the Aeronautical Sciences, vol. 1, pp. 262 - 273, London, UK.
  1. S.Nefti: "Cognitive computing in Multi-Agent Systems framework", in preparation with IET.
  2. S.Nefti and J.G.John, "Advanced in Cognitive Systems" (Editors), IET publisher, May 2010.
  1. A. Atyabi, M. Luerssen, S.P. Fitzgibbon & D.M.W. Powers, 2012, The use of Evolutionary Algorithm-based methods in EEG based BCI systems, In Swarm Intelligence for Electric and Electronic Engineering, In Press.
  2. T.A. Anderson, Z. Chen, Y. Wen, M.K. Milne, A. Atyabi, K. Treharne, T. Matsumoto, X. Jia, M.H. Luerssen, T.W. Lewis, et al., 2012. Thinking Head MulSeMedia: A Storytelling Environment for Embodied Language Learning. In Multiple Sensorial Media Advances and Applications: New Developments in MulSeMedia. Hershey, Pennsylvania: IGI Global, pp. 182-203.
  3. A. Atyabi & S. Samadzadegan, 2011. Particle Swarm Optimization: A Survey. In Applications of Swarm Intelligence. Applications of Swarm Intelligence: Nova Publishers, pp. 167-178.
  4. Nefti-Meziani, S, A.Al-Dulaimy, May.Bunny & J.Gray 2010 "Decision making under risk in swarm intelligence techniques", in Advances in Cognitive Systems, IET, London, UK, pp.397-413.
  5. D.G. Caldwell, S.Davis, R.J. Moreno Masey, J.O. Gray. "Automation in Food Processing". Chapter 60. Springer Handbook of Automation. 2009.
  6. F. Meziane and S. Nefti (2008), "Evaluating E-commerce Trust Using Fuzzy Logic", in Wen-Chen Hu (Editor), Selected Readings on Electronic Commerce Technologies Contemporary Applications, pp.272-285, IGI Publishing. ISBN 978-1-60566-096-7.
  7. Tsagarakis N G, Davis S, Sarakoglu Y, Caldwell D G. “Actuator Technologies”. In Wearable Robotics: Biomechatronics Exoskeletons, J.L. Pons (Ed.), John Wiley & Sons (Feb. 2008), ISBN 978-0470512944
  8. F. Meziane and S. Nefti (2008), "A Decision Support System for Trust Formalisation", in Distributed Artificial Intelligence, Agent Technology and Collaborative Applications, pp.47-64, IGI Publishing. ISBN 978-1-60566-144-5.
  9. Nefti-Meziani, S & M.oussallah & U Kaymak 2007, "Clustering fuzzy Data using Inclusion Concept", in: - Book Titile "Advances in Fuzzy Clustering", de Oliveira and W. Pedrycz (Editors) in ,John Wiley & Sons.
  10. J O Gray and S T Davis “Robotics in the food industry: an introduction” Robotics and automation in the food industry: Current and future technologies. Edited by D Caldwell, Italian Institute of Technology, Italy. Woodhead Publishing Series in Food Science, Technology and Nutrition.
  11. Murano, Pietro & Holt, Patrik O'Brian (2009) Anthropomorphic Feedback In User Interfaces: The Effect of Personality Traits, Context and Grice's Maxims on Effectiveness and Preferences, In Cross-Disciplinary Advances in Human Computer Interaction, User Modeling, Social Computing and Adaptive Interfaces, Eds. Zaphiris, Panayiotis & Ang, Chee Siang, IGI Global.
  12. Murano, Pietro (2006) Why Anthropomorphic User Interface Feedback can be Effective and Preferred by Users, In Enterprise Information Systems 7, Eds. Chen, Chin-Sheng, Filipe, Joaquim, Seruca, Isabel and Cordeiro, Jose, (c) Springer.

S. Davis, D.G. Caldwell, “Handling Device” WO 2007052018, 10 May 2007.

We attract students from all walks of life and this helps to create a vibrant and dynamic postgraduate research environment.

Research degrees offer you the flexibility to carry out your own research project under direct supervision of an academic member of staff. You can study towards a Master of Philosophy (MPhil), Doctor of Philosophy (PhD), Professional Doctorate (DProf) or MSc by Research.

Our students have access to a wide range of supervisory expertise, training and excellent facilities. The research training you receive will be tailored to your particular needs, which your supervisory team will discuss with you as soon as possible after you arrive.

Our current students undertake research across a variety of topic areas from Actuators, Biomimetics/biologically inspired robotics, Soft robotics, End effectors and dexterous hands, Automation for the food industry, Physical human robot interaction (pHRI), and Rehabilitation robotics.

If you are interested in applying for the doctoral programme, first of all contact the relevant Research Group Lead to discuss your proposed research topic and to identify a Supervisor. You would also need to prepare a Research Proposal (approximately 1500 words) before you apply online.

For more information, please contact:

Catriona Nardone (Research Support Officer)

0161 295 3482

Head of Research Group (ASAR)
Professor Samia Nefti-Meziani

Tel: (0044) 0161 295 4540

Autonomous robots