G.R. Sinha

Work place: International Institute of Information Technology Bengaluru(IIITB), India

E-mail: drgrsinha@ieee.org

Website: https://orcid.org/0000-0003-2384-4591

Research Interests: Models of Computation, Analysis of Algorithms, Image Processing, Network Security, Information Security, Image Manipulation, Image Compression, Pattern Recognition


G.R. Sinha (PhD, Fellow IETE, Fellow IEI, SMIEEE) is Professor at International Institute of Information Technology Bangalore (IIITB). Prior to this, he was deputed as Professor at Myanmar Institute of Information Technology (MIIT) Mandalay Myanmar. He has been Visiting Professor (Online) in National Chung Hsing University Taiwan, at University of Sannio Italy and Visiting Professor (Honorary) in Sri Lanka Technological Campus Colombo.
He has published 316 research papers, book chapters and books at International and National levels and 24 Edited books in the field of Cognitive Science, Biomedical Signal Processing, Biometrics, Optimization Techniques, Sensors, Machine Learning, Outcome based Education, Data Deduplication with Internationally reputed publishers Elsevier, IOP, Springer, Taylor & Francis, IGI. He owns two Australian patents and one German patent. He is Associate Editor of five SCI/Scopus indexed journals and has been Guest Editor in various SCI journals, such as IET Electronics Letters, Journal of Healthcare Engineering, International Journal of Biometrics.
He has teaching and research experience of 24 years. He has been Dean of Faculty and Executive Council Member of CSVTU and currently a member of Senate of MIIT. Dr Sinha has been ACM Distinguished Speaker in the field of DSP (2017-2021). He has been Expert Member for Vocational Training Program by Tata Institute of Social Sciences (TISS) for Two Years (2017-2019); Chhattisgarh Representative of IEEE MP Sub-Section Executive Council (2014-2017); Distinguished Speaker in the field of Digital Image Processing by Computer Society of India (2015). He served as Distinguished IEEE Lecturer in IEEE India council for Bombay section.
He is recipient of many Awards and recognitions: Distinguished Alumuns Award 2022 by National Institute of Technology Raipur; Recognition by Rector of Myanmar Aerospace Engineering University, The Republic of Union of Myanmar (2022); Honor by Sanatan Samaj Myanmar for Social Services (2022); Certificate of Recognition for Volunteering in ACM Hyderabad Deccan Chapter (2020-2021); TCS Award 2014 for Outstanding contributions in Campus Commune of TCS; Rajaram Bapu Patil ISTE National Award 2013 for Promising Teacher in Technical Education by ISTE New Delhi; Emerging Chhattisgarh Award 2013; Engineer of the Year Award 2011; Young Engineer Award 2008; Young Scientist Award 2005; IEI Expert Engineer Award 2007; ISCA Young Scientist Award 2006 Nomination; GOLD Medal for first position in university in M.Tech.; Deshbandhu Merit Scholarship for 05 years and received Best Paper Awards in 3 International Conferences.
He has delivered more than 70 Keynote/Invited Talks and Chaired many Technical Sessions in International Conferences across the world such as Singapore, Taiwan, Mauritius, Myanmar, Sri Lanka, Irvine, Italy and India. His Special Session on “Deep Learning in Biometrics” was included in IEEE International Conference on Image Processing 2017. He is also member 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 been Publication Chair in ADCOM 2022 and General Chair in International Conference on IntelligentComputing and Communication, 2022.
He is Consultant of various Skill Development initiatives of NSDC, Govt. of India and an upcoming British University in Myanmar. He is regular Referee of Project Grants under DST-EMR scheme and several other schemes of Govt. of India. He received few important consultancies supports as grants and travel support. He has been Expert Member of Professor promotion committee of German-Jordanian university Jordan and Project Proposal evaluation committee of UK-Israel Research Grants. He has been appointed as Member of IQAC by MIIT Mandalay, Myanmar (July 2022-December 2024) and Member of Board of Examiner in University of Mauritius (2022-2023). He is Advisor to upcoming New Next University in Myanmar.
Dr. Sinha has Supervised 09 PhD Scholars, 15 M. Tech. Scholars, 100 UG level students. His research interest includes Biometrics, Medical/Biomedical Image Processing, Cognitive Science, Computer Vision, Outcome based Education (OBE) and ICT tools for developing Employability Skills.

Author Articles
Real Time Handwritten Marathi Numerals Recognition Using Neural Network

By Sandeep B. Patil G.R. Sinha

DOI: https://doi.org/10.5815/ijitcs.2012.12.08, Pub. Date: 8 Nov. 2012

Character recognition is an important task in biometrics. This paper uses neural network for real time handwritten Marathi numerals recognition. We have taken 150 online Marathi numerals written in different styles by 10 different persons. Out of these, 50 numerals were used for training purpose and another 100 numerals were used for recognition purpose. The numerals undergo the preprocessing steps using image processing techniques and after character digitization it is further subjected to the multilayer backward propagation neural network for recognition purpose. The proposed research work gives recognition accuracy from 97% and to 100% for the different resolution of input vector.

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Performance of Linear Block Coding for Multipath Fading Channel

By Hemlata Sinha M.R. Meshram G.R. Sinha

DOI: https://doi.org/10.5815/ijitcs.2012.08.06, Pub. Date: 8 Jul. 2012

This paper deals with the performance of linear block codes which provide a new paradigm for transmission over multipath fading channels. Multi path channel fading is the main enemy for any wireless communications system. Therefore, for any novel approach applied at any wireless communication system, its efficiency is measured according to its ability of mitigating the distortion caused by fading. It causes time dispersion to the transmitted symbols resulting in inter symbol interference (ISI). ISI inter symbol interference problem is a major impairment of the wireless communication channel. To mitigate the ISI problem and to have reliable communications in wireless channel, channel equalizer and channel coding technique is often employed. In this paper the BER (Bit Error Rate) performance is shown from analytically and by means of simulation for multipath dispersive channels. We have designed a channel equalizer using MLSE (Viterbi algorithm) in this paper for such a multipath channel (introducing inter symbol interferences) with BPSK modulation based on the assumption that the channel can be perfectly estimated at the receiver. Obviously the performance of channel coding in terms of BER is better than uncoded channel.

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