I am a Senior Lecturer in Computer Science, in the School of Computer Science and Mathematics at Keele University. My research interest are in the areas of computer vision, machine learning, pattern recognition and image / signal / video analytics. I have been working on similar research topics for my PhD work and the projects involved in the Institute for Infocomm Research, A*STAR, Singapore. I have received B.Tech. degree in Electrical Engineering from the Indian Institute of Technology, Roorkee, India and Ph.D. degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 2003 and 2008, respectively. I have also received MA degree in Higher Education Practice from Keele University, UK, in 2021. I have worked as a Scientist for more than 9 years at the Visual Computing Department in the Institute for Infocomm Research, A*STAR, Singapore, between May 2008 to June 2017 for a number of research projects and published extensively in Journals, conferences and workshops. I have been in the Kingston University London for a short while before joining as a Lecturer in Computer Science at Keele University, UK in March 2018.

I was recipient of the prestigious “Award for Leading, Educating and Nurturing Talent (TALENT)” from A*STAR Singapore, the “Best Student Paper Award 2016: Honourable Mention Award” from the member society of International Association for Pattern Recognition (IAPR) in Singapore with my student. The "Long service award" from the Institute in 2014, the "Best Biometric Student Paper Award" at the 19th International Conference on Pattern Recognition, Florida, USA, 2008, full Research Scholarship Award from Nanyang Technological University, Singapore between 2004 and 2008. In 2001, I have received the Summer Undergraduate Research Award from IIT Roorkee, India.

Along with my team members, I have won the international benchmarking competition, national and international awards, student best paper awards, technological disclosures (licensing) and other accolades over the past few years. Besides, I have also played an active / lead role in a couple of video related reverse-engineering visual intelligence for cognitive enhancement projects which spans the area of facial processing, summarization of ego-centric videos, activity analysis, patient behaviour monitoring and biometrics. I have worked with many SMEs companies, tried to enhance their existing or develop new products and solve their research & development problems in Singapore and UK. I am a Senior Member of IEEE, Fellow of British Computer Society (FBCS) and a Fellow of Higher Education Academy (FHEA).

Research and scholarship

Research Interests:

 Computer Vision

  • Civil Infrastructure Inspection, Analysis and Monitoring
  • Human Behaviour Analysis
  • Biomedical Image Analysis
  • Subspace Modelling
  • Activity Analysis
  • Feature Extraction
  • Biometrics

 Machine Learning

  • Deep learning, CNN, RNN,
  • Semi-supervised and unsupervised learning,
  • Generative and adversarial models,
  • Invariance models,
  • Manifold learning.


There are large number of Scholarships available for local and overseas international students. Please check the entry requirements and how to apply for Postgraduate Research, here:

Please refer to the following websites for details of availability and how to apply: 

[1] Keele University Scholarships (

[2] Keele University PhD Scholarships from SEND project (

[3] A*STAR Scholarships & Attachments (

[4] A*STAR Research Attachment Programme (ARAP), (

[5] External Funding Bodies (

[6] Applicants from China: Please consider support from the China Scholarship Council (CSC). (

[7] From time to time there are few other openings, please contact me directly.

Only short-listed candidates would be notified.


  • CSC-10024 Programming I (Semester 1)
  • CSC-30025 Advanced Web Technologies (Semester 2)

Further information


Research themes

  • Artificial Intelligence
  • Human-centric Computing

School of Computer Science and Mathematics
Keele University