Dr.  G R Sinha

G R Sinha is Adjunct Professor at International Institute of Information Technology (IIIT) Bangalore deputed to Myanmar Institute of Information Technology (MIIT) Mandalay. He holds B.E. (Electronics Engineering) and M.Tech. (Computer Technology) with Gold Medal from National Institute of Technology, Raipur. He received his Ph.D. in Electronics & Telecommunication Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai. He has been Dean of Faculty and Executive Council Member of CSVTU. He contributes as Expert Member in Center of Excellence (TISS-SVE) of Tata Institute of Social Sciences Mumbai India for Two Years (2017-2019).

Dr G R Sinha has been Re-elected as Chhattisgarh Representative of IEEE MP Sub-section Executive Council 2017. He was elected as Chhattisgarh Representative of IEEE MP Sub-section Executive Council 2016. He is 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, Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher for Creative work done, Emerging Chhattisgarh Award 2013, 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 by Prentice 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.  He is Fellow of IETE New Delhi and member of ACM, IEEE, IACSIT, SIE, 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 published 200 research papers in various international and national journals and conferences, few important of them are in ACM digital library also. 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 Guided Four PhD Scholars, 15 M.Tech. Scholars and has been Supervising 05 more PhD Scholars. His research interest includes Biometrics, Deep Learning, Medical Image Processing, Computer Vision, Employability Skills; Outcome based Education (OBE) etc.

• CAD based Early Detection of Breast Cancer
  Breast cancer cases are rising for last few years in India as well as World and it is reported as second leading cause of death in developed countries and third leading cause of death in...
• Developing Employability Skills using ICT Tools
  Employability skill has become buzzword all across the world. The set of skills that empower someone to become competent enough so that he/she can survive in all odds. The employability...
• Efficient Computer aided Diagnosis System (CAD) for Breast Cancer Detection and ICT based Health Informatics for Mass Awareness: A Critical Review and Recommendation
  CAD system for detection and classification of masses and micro-classification can be very useful for breast cancer detection. The idea of this review originated from the several factors such as...
• Image Processing Tools for Improved Visualization and Analysis of Remotely Sensed Images for Agriculture and Forest Classifications
  This lecture suggests Image Processing tools for improved visualization and better analysis of remotely sensed images. There are methods already available in literature for the purpose but the...
• 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...