Prof. G R Sinha
Prof. G R Sinha
MIIT Myanmar
Title: Study of Cognitive Ability of Human Brain
Most of the biometric techniques are conventional biometrics employing some neural network architecture consisting of suitable number of hidden layers in their training process. The recognition accuracy has no longer become a measure to ensure the method of recognition is robust. Robustness has also been attempted by using hybrid methods for training such as neuro-fuzzy method and applying some optimization technique. The traditional use of the learning concept has almost been saturated in the field of computer vision and face recognition. An emerging concept of learning method that is being researched internationally in several cognitive, computer vision and data classification tasks is deep learning, which is subfield of machine learning inspired by structure and function of artificial neural network. This talk aims suggesting deep learning in assessment of cognitive ability of human brain. We can train thousands of facial images into our image database. Deep learning is to be compared to shallow learning in face recognition task done for real time applications; cognitive ability assessment and inference for different age group and gender; study of reaction time, etc. Response time and correct identification were recorded that shows potent research scope of deep learning in assessment of cognitive ability of human brain at large scale. The cognitive ability of women is found more than that of women.
Dr G R Sinhais working as Adjunct Professor at International Institute of Information Technology (IIIT) Bangalore, and presently deputed to Myanmar Institute of Information Technology (MIIT) Mandalay. He obtained his B.E. (Electronics Engineering) and M.Tech. (Computer Technology) from National Institute of Technology, Raipur. He received Gold Medal for obtaining first position in the University. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He has published 218 research papers in various international and national journals and conferences. He is active reviewer and editorial member of more than 12 Reputed International Journals such IEEE Transactions on Image Processing, Elsevier Computer Methods and Programs in Biomedicine, Springer Journal of Neural Computing and Applications etc. He has reviewed research papers of many International Conferences including IEEE conferences. He has teaching and research experience of 19 years. He has been Dean of Faculty and Executive Council Member of Chhattisgarh Swami Vivekanand Technical University, Bhilai. He is currently a member of Senate of Myanmar Institute of Information Technology (MIIT), Mandalay. Dr Sinha has been appointed as Distinguished Speaker in the field of Digital Signal Processing by ACM for next three years (2017-2020). He has been appointed as Expert Member for Vocational Training Programme by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019). He has been Re-elected as Chhattisgarh Representativeof IEEE MP Sub-section Executive Council 2017. He was elected as Chhattisgarh Representativeof IEEE MP Sub-section Executive Council 2016. He has been selected as Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He is recipient of many awards like TCS Award 2014 for Outstanding contributions in Campus Commune of TCS,RajaramBapuPatil ISTE National Award 2013 for Promising Teacher for Creative work done in Technical Education by ISTE New Delhi,Emerging Chhattisgarh Award 2013: Best Academician, Engineer of the Year Award 2011, Young Engineer Award 2008, Young Scientist Award 2005, IEI Expert Engineer Award 2007, nominated for ISCA Young Scientist Award 2006 and awarded Deshbandhu Merit Scholarship for 05 years. He has been selected as Distinguished IEEE Lecturer in IEEE India council for Bombay section. He has been elevated to Senior Member of IEEE. He has authored Six Books including Biometrics: Concepts and Applications published by Wiley India, a subsidiary of John Wiley and Medical Image Processing: Concepts and Applications published byPrentice Hall of India. He is Consultants of various Skill Development initiatives of NSDC, Govt. of India. He is regular Referee of Project Grants under DST-EMR scheme of Govt. of India. A Research Grant of Rs. 36.6 Lakhs has been sanctioned by DST, Govt. of India under NSTMIS scheme.He has delivered many Keynote Talks and Chaired many Technical Sessions in International Conferences in Singapore, Mumbai, Trivandrum, Hyderabad, Nagpur, Kolaghat& across the country. His Special Session on “Deep Learning in Biometrics” was included in IEEE International Conference on Image Processing 2017. He is Fellow of IETE New Delhi and member of International Professional Societies such as IEEE, IACSIT & SIE Singapore and also of many National Professional bodies like ISTE, CSI, ISCA, and IEI. He is member of various committees of the University and has been Vice President of Computer Society of India for Bhilai Chapter for two consecutive years. He has Guided Four PhD Scholars, 15 M. Tech. Scholars and has been Supervising 05 more PhD Scholars. His research interest includes Biometrics, Deep Learning, CAD & Medical Image Processing, Computer Vision, Employability Skills; Outcome based Education (OBE) etc.