Dr Surbhi Khan
School of Science, Engineering & Environment
Current positions
Lecturer in Data Science
Biography
Surbhi B. Khan, (FHEA, SMIEEE) is working in the School of Science, Engineering and Environment at the University of Salford, United Kingdom. She is also working as Academic Quality Lead in CSE Directorate. She is Project Management Professional Certified from PMP, USA. She is ranked among the top 2% of scientists globally for the third year in a row (2023-2025). She is supervising/co-supervising a number of PhDs and research associates. She has published over 250 articles and books in high indexed outlets with her students and colleagues and also has been granted patents from USA. She also served as Deputy EIC in TCE letters, Associate editor in IEEE Transactions on Consumer Electronics, presently in IEEE TCSS, HCIS and Guest editor in many other reputed journals. She has submitted few KTP Projects Innovate UK and has submitted grants as a CO-PI in EU horizon. She is also working in external funding from India, and Middle Eastern Institutes. She is a senior member of IEEE and has been serving as session chairs in many IEEE conferences, been invited as a resource person at International Conferences and FDP's and has holds honorary positions, providing guidance to universities in pursuit of research and teaching excellence. She is also a member in the Women in Data Science Ambassador. She is serving as external examiners in Herdfordshire University, UK and also in Marwadi University, India. Her research interests are Machine Learning/Deep learning, Data Science in Healthcare and IoT, and Text analytics and detection
Areas of Research
Machine learning, Sentiment Analysis, Medical imaging diagnostics, IoT with Data science, text recognition and sentiment analysis, Opinion Mining.
Areas of Supervision
Innovative Framework for Remote Detection and Forecasting of Early-Stage Heart Conditions and Cardiac Events
English large language Model Hallucination Detection
Mental Health Detection and Classification based on Multimodalities
I am the module leader of two modules in MSc Data Science programme:
Advanced Databases ( Representative Module leader)
Machine learning and Data Mining
I am also supervising Final year projects and MSc Dissertations with engaging topics to solve real world problems.
Qualifications
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PhD in Computer Science in engineering as major and Machine learning/ Data Mining as minor
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Masters in Technology
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Bachelors in Information technology
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PGCAP
Recognitions
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Deputy Editor in Chief in IEEE transaction on consumer electronics letters
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Listed in the "Top 2% scientist of the world”, Stanford University List, USA in 2023, 2024
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Nominated for a Celebration of Research and Knowledge Exchange Award from