Professor Sunil Vadera

School of Science, Engineering and Environment

Photo of Professor Sunil Vadera

Contact Details

Newton Building Room 122

Please email for an appointment.

ORCID

Biography

Sunil Vadera is a Professor of Computer Science at the University of Salford. He is a Fellow of the British Computer Society, a Chartered Engineer (CEng) and Chartered IT Professional (CITP).  He has held many leadership roles including as Dean of the School of Computing, Science and Engineering, Head of Computer Science, Associate Dean of Research, and Director of Informatics Research Institute. He was Chair and Vice Chair of British Computer Society (BCS) Accreditations Committee from 2007 to 2010 which has responsibility for accreditation of the UK degrees in Computing.  Sunil was awarded the UK BDO best Indian Scientist and Engineer in 2014 and the Amity Research Award for AI & Neural Networks in 2018.   

Sunil gained a first class BSc(Hons) in Computer Science and Mathematics from the University of Salford in 1982, receiving three best student prizes. He holds a PhD from the University of Manchester in the area of Formal Methods of Software Development which was awarded in 1992. Following graduation, he began his career as a Research Assistant and progressed to a Lectureship in Computer Science in 1984. He was promoted to a Senior Lecturer in 1997 and to a Chair in Computer Science in 2000. 

Sunil has served as an external examiner for several institutions including Loughborough University, Liverpool University,  Leeds Metropolitan University, Northumbria University,  London Southbank University and Middlesex University.  He has also carried out reviews of Computer Science departments in Universities in Jordan, Algeria, China,  India and Sri Lanka.

Areas of research

Artificial Intelligence, Machine Learning, Data Science, Deep Neural Networks, Cost-Sensitive Learning

Teaching

  • Introduction to A.I.
  • Artificial Intelligence and Neural Networks

Research Interests

My research interests are in Machine Learning and Data Mining. 

My research has included work on machine learning for sensor validation with the Mexican Instituto de Electricas, a British Gas funded project applying data mining on SMART meters data, a British Gas funded project applying data mining to SMART meter data with a view to understanding energy consumption behaviour,  the development of a system known as Dust-Expert that advises on the relief venting of explosions in chemical processes for the Health and Safety Executive and research on data mining for credit rating of sub-prime loans for East Lancashire Moneyline (IPS) Ltd .

I am currently working on an FP7 funded project SEEDS: Self learning Energy Efficient builDings and open Spaces project that aims to reduce energy consumption and CO2 emissions by using self-learning methods based on data collected from wireless sensors.  The project is with partners from  industrial partners from Europe including Fraunhofer, CEMOSA, Ferrovial, Softcrits, CIDAUT and the University of Stavanger.

Qualifications and Memberships

Qualifications 

  • PhD in Computer Science, University of Manchester, 1992
  • MSc in Computer Science, University of Manchester 1986
  • BSc (Hons) Computer Science and Mathematics, University of Salford, 1982
Memberships
  • Fellow of the BCS (FBCS), CITP, C.Eng.