Professor G R Sinha

About

Dr. G. R. Sinha is the Vice Chancellor of GSFC University, Vadodara, Gujarat, India. He previously served as Professor at IIIT Bangalore and was on deputation as Professor at Myanmar Institute of Information Technology (MIIT), Mandalay, under the India–Myanmar friendship project. He has also been Visiting Professor at universities in Italy, Taiwan, and Sri Lanka.

He has authored 330+ research publications and 27 edited books with leading publishers such as Elsevier, Springer, IOP, Taylor & Francis, and IGI, and holds three international patents (Australia and Germany). He serves as Associate Editor and Editorial Board Member of several SCI/Scopus-indexed journals.

Dr. Sinha has been ranked among the top 2% scientists worldwide in Image Processing and Artificial Intelligence (Stanford–Elsevier, 2023–2025). His major recognitions include Vice Chancellor of the Year 2025, ACM Senior Member Award, IEEE Mentor Award, and Distinguished Alumnus Award (NIT Raipur).

With 27 years of teaching and research experience, he has delivered 75+ keynote and invited talks internationally and supervised 10 PhDs and numerous postgraduate and undergraduate students. His research interests include Biomedical Image Processing, Biometrics, Cognitive Science, AI, Outcome-Based Education, NEP 2020, IKS, and employability-oriented ICT tools.

Employment

• GSFC University Provost (Vice Chancellor)
  2023 - Present
• International Institute of Information Technology Professor
  2017 - Present
• Myanmar Institute of Information Technology Prfessor
  2017 - 2022

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (54)

• Real-Time Myanmar Hand Gestures Recognition Using Deep Learning Models
  2025 DOI: 10.1007/978-981-97-3859-5_15
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• NSAP: A Neural Network-Based Stress Analysis Pipeline Using EEG Topographic Images
  2025 DOI: 10.1007/978-3-032-08260-2_22
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• An Enhanced Deep Neural Network Model for the Detection of Anomalous Behavior of Drivers in Road Traffic
  Journal of Sensors 2024 DOI: 10.1155/js/5295932
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• Ensemble Wavelet Decomposition-Based Detection of Mental States Using Electroencephalography Signals
  Sensors 2023 DOI: 10.3390/s23187860
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• Introduction to statistical modeling in machine learning
  2023 DOI: 10.1016/B978-0-323-91776-6.00007-5
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• Energy‐Efficient Scientific Workflow Scheduling Algorithm in Cloud Environment
  Wireless Communications and Mobile Computing 2022 DOI: 10.1155/2022/1637614
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• Ftl‐CoV19: A Transfer Learning Approach to Detect COVID‐19
  Computational Intelligence and Neuroscience 2022 DOI: 10.1155/2022/1953992
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• Deep Learning Neural Network Prediction System Enhanced with Best Window Size in Sliding Window Algorithm for Predicting Domestic Power Consumption in a Residential Building
  Computational Intelligence and Neuroscience 2022 DOI: 10.1155/2022/7216959
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• Yoga Pose Estimation and Feedback Generation Using Deep Learning
  Computational Intelligence and Neuroscience 2022 DOI: 10.1155/2022/4311350
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• Multi-Class Skin Problem Classification Using Deep Generative Adversarial Network (DGAN)
  Computational Intelligence and Neuroscience 2022 DOI: 10.1155/2022/1797471
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