Biography
My research interest are in the areas of computer vision, machine learning, pattern recognition and 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 worked as a Scientist for >9 years at the Cognitive Vision Lab, 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, 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 own 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 face 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.
Research and scholarship
Research Interests:
Computer Vision
- Face processing,
- Ego-centric video summarization,
- Characterization of social interactions,
- 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.
Scholarships:
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: https://www.keele.ac.uk/pgresearch/
Please refer to the following websites for details of availability and how to apply:
[1] Keele University Scholarships (https://www.keele.ac.uk/studentfunding/bursariesscholarships/)
[2] Keele University PhD Scholarships from SEND project (https://www.keele.ac.uk/business/smartenergynetworkdemonstrator/informationforgraduatesandstudents/)
[3] A*STAR Scholarships & Attachments (https://www.a-star.edu.sg/Scholarships/for-graduate-studies/a-star-research-attachment-programme-(arap))
[4] A*STAR Research Attachment Programme (ARAP), (https://www.a-star.edu.sg/Scholarships/for-graduate-studies/a-star-research-attachment-programme-(arap))
[5] External Funding Bodies (https://www.sheffield.ac.uk/postgraduate/research/scholarships/externalall).
[6] Applicants from China: Please consider support from the China Scholarship Council (CSC). (http://www.csc.edu.cn/chuguo)
[7] From time to time there are few other openings, please contact me directly.
Only short-listed candidates would be notified.
Teaching
- CSC-10024 Programming I (Semester 1)
- CSC-30025 Advanced Web Technologies (Semester 2)
Further information
Selected Publications
-
Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition. Signal Processing: Image Communication, 116818, vol. 108. doi> link> full text>2022.
-
StructureNet: Deep Context Attention Learning for Structural Component Recognition. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications. doi> link> full text>2022.
-
Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification. IEEE Trans Image Process, 6957-6969, vol. 30. link> doi> full text>2021.
-
Multi-Deformation Aware Attention Learning for Concrete Structural Defect Classification. IEEE Transactions on Circuits and Systems for Video Technology, 3707-3713, vol. 31(9). doi>2021.
-
Deep Convolutional Generative Adversarial Network-Based Food Recognition Using Partially Labeled Data. IEEE Sensors Letters. doi> full text>2018.
Full Publications Listshow
Journal Articles
-
Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition. Signal Processing: Image Communication, 116818, vol. 108. doi> link> full text>2022.
-
MacularNet: Towards Fully Automated Attention-Based Deep CNN for Macular Disease Classification. SN Computer Science, Article 142, vol. 3(2). doi> link> full text>2022.
- 2022.
-
Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification. IEEE Trans Image Process, 6957-6969, vol. 30. link> doi> full text>2021.
- 2021.
-
GlaucoNet: Patch-Based Residual Deep Learning Network for Optic Disc and Cup Segmentation Towards Glaucoma Assessment. SN Computer Science, Article 99, vol. 2. doi> link> full text>2021.
- 2020.
-
Multi-Deformation Aware Attention Learning for Concrete Structural Defect Classification. IEEE Transactions on Circuits and Systems for Video Technology, 3707-3713, vol. 31(9). doi>2021.
- 2020.
-
Multi-Level Dual-Attention Based CNN for Macular Optical Coherence Tomography Classification. IEEE SIGNAL PROCESSING LETTERS, 1793-1797, vol. 26(12). link> doi> full text>2019.
-
Deep Convolutional Generative Adversarial Network-Based Food Recognition Using Partially Labeled Data. IEEE Sensors Letters. doi> full text>2018.
- 2018.
-
Deep residual network with regularised fisher framework for detection of melanoma. IET COMPUTER VISION, 1096-1104, vol. 12(8). link> doi> full text>2018.
- 2017.
- 2017.
- 2017.
- 2017.
-
SocioGlass: Social interaction assistance with face recognition on google glass. Journal of Scientific Phone Apps and Mobile Devices, vol. 2(7). doi> link> full text>2016.
-
MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence. Journal of Scientific Phone Apps and Mobile Devices, vol. 2(3). doi> link> full text>2016.
- 2016.
- 2013.
- 2012.
- 2010.
-
Face Verification Using Modeled Eigenspectrum. The Open Artificial Intelligence Journal, 35-45, vol. 2(1). doi>2008.
- 2008.
- 2009.
- 2006.
-
Improved Eigenfeature Regularization for Face Identification. link>
Chapters
-
Vision and Memory: Looking Beyond Immediate Visual Perception. In Computational and Cognitive Neuroscience of Vision. Springer.2016.
-
Trends in Machine and Human Face Recognition. In Advances in Face Detection and Facial Image Analysis. Springer.2016.
Other
-
StructureNet: Deep Context Attention Learning for Structural Component Recognition. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS - Science and Technology Publications. doi> link> full text>2022.
- 2020.
-
Enhanced Deep Video Summarization Network. British Machine Vision Conference (BMVC). full text>
-
Improved Lifelog Ego-centric Video Summarization Using Ensemble of Deep Learned Object Features. British Machine Vision Conference (BMVC). link> full text>
-
Cross-Spectral Periocular Recognition: A Survey. EMERGING RESEARCH IN ELECTRONICS, COMPUTER SCIENCE AND TECHNOLOGY, ICERECT 2018 (pp. 731-741, vol. 545). link> doi> full text>2019.
-
DeepPCA Based Objective Function for Melanoma Detection. 2018 International Conference on Information Technology (ICIT). IEEE. doi>2018.
-
Deep Adaptive Temporal Pooling for Activity Recognition. PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18) (pp. 1829-1837). link> doi> full text>2018.
-
DEEP RESIDUAL NETWORK WITH SUBCLASS DISCRIMINANT ANALYSIS FOR CROWD BEHAVIOR RECOGNITION. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (pp. 938-942). link> doi> full text>2018.
-
Improved Bayesian Approach for Face Recognition. IEEE Fifth International Conference on Information, Communications and Signal Processing (ICICS 2005). IEEE. full text>
-
Kernel Fisher Discriminant Analysis in Full Eigenspace. International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV 2007). CSREA Press. full text>
-
Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring. Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'11). IEEE. full text>
-
I2R VC @ ImageClef2017: Ensemble of Deep Learnt Features for Lifelog Video Summarization,. CEUR-WS.org. full text>2017.
-
Analysis of Human Attentions for Face Recognition on Natural Videos and Comparison with CV Algorithm on Performance. Science of Intelligence: Computational Principles of Natural and Artificial Intelligence.2017.
- 2017.
- 2017.
- 2017.
-
Spontaneous vs. Posed smiles - can we tell the difference?. Advances in Intelligent Systems and Computing. Springer Verlag. doi> full text>2016.
- 2016.
- 2016.
-
Appearance Based Robot Activity Recognition System. 2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV). link>2016.
-
EGOCENTRIC ACTIVITY RECOGNITION WITH MULTIMODAL FISHER VECTOR. 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS (pp. 2717-2721). link>2016.
-
Face Recognition: Perspectives from the Real World. 2016 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV). link>2016.
- 2015.
-
Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services. ACM. doi> full text>2015.
-
Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition.2015.
-
Exploring Users Attitudes towards Social Interaction Assistance on Google Glass. Proceedings of the 6th Augmented Human International Conference. ACM. doi> full text>2015.
- 2015.
- 2015.
-
ORGANIZING AND RETRIEVING EPISODIC MEMORIES FROM FIRST PERSON VIEW. 2015 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW). link>2015.
-
WHOLE SPACE SUBCLASS DISCRIMINANT ANALYSIS FOR FACE RECOGNITION. 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (pp. 329-333). link>2015.
-
Recovering Social Interaction Spatial Structure from Multiple First-Person Views. Proceedings of the 3rd International Workshop on Socially-Aware Multimedia. ACM. doi>2014.
- 2014.
-
Automated markerless video seizure detection. 12th International Child Neurology Congress (ICNC 2012). Developmental Medicine & Child Neurology.2012.
-
Optical flow information and video seizure recognition. 12th International Child Neurology Congress (ICNC 2012). Developmental Medicine & Child Neurology.2012.
- 2012.
-
COMPUTERIZED VIDEO ANALYSIS AND QUANTIFICATION OF LIMB MOVEMENTS IN AUTOMATION OF SEIZURE DETECTION IN CHILDREN. EPILEPSIA (p. 214, vol. 52). link>2011.
- 2010.
-
Verification of Human Faces Using Predicted Eigenvalues. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 (pp. 1442-1445). link>2008.
-
Dimensionality reduction in subspace face recognition. 2007 6TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS & SIGNAL PROCESSING, VOLS 1-4 (pp. 1057-1061). link>2007.
-
Face recognition based on discriminant evaluation in the whole space. 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PTS 1-3 (pp. 245-+). link>2007.
-
Multi-scale feature extraction for face recognition. ICIEA 2006: 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3, PROCEEDINGS (pp. 792-797). link>2006.
-
Multi-scale feature extraction for face recognition. 2006 1ST IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-3 (pp. 1619-+). link>2006.
-
Feature regularization and extraction in eigenspace for face recognition.
Research themes
School of Computer Science and Mathematics
Keele University
Staffordshire
ST5 5AA
Email: scm.admin@keele.ac.uk
Tel:+44 (0) 1782 731830