Dr. Vinod Patidar
University of Petroleum and Energy Studies, Sir Padampat Singhania University, Mohanlal Sukhadia University, Apaji Institute of Mathematics and Applied Computer Technology
About
Professor Vinod Patidar holds prestigious Fellowships with IoP (UK), IET (UK), and IETE (India), and is an alumnus of the Executive Leadership Academy at UC Berkeley. He has also completed training in University Governance and Academic Leadership offered by Vrije Universiteit, Brussels, under the European Union’s ERASMUS+ LEAD2 Programme. With more than 25 years of experience (including 20 years post-PhD and 10 years as full professor) in teaching, research, and academic administration, he is an internationally recognized and award-winning researcher in the fields of Nonlinear Dynamics and Chaos Theory, Modelling and Simulation, Chaos-based Cryptography and Image Encryption, Steganography, and DNA Cryptography. He has authored around 100 publications, which have collectively received over 4,950 citations, with an h-index of 24 and an i10-index of 40. His work has earned several accolades, including the Most Cited Paper Award from Image and Vision Computing (Elsevier) and the Editor’s Pick Outstanding Article Award 2022 from Frontiers in Applied Mathematics and Statistics (FAMS). Additionally, four of his research papers on chaos-based cryptography have appeared in the ScienceDirect Top 25 lists of most downloaded articles during various periods.
He has been a Visiting Scientist at the Helmholtz Institute for Supercomputational Physics, University of Potsdam, Germany and the International Centre for Theoretical Physics (ICTP), Trieste.
He has visited Germany, Italy, Greece, Canada, Nepal, Brazil, South Korea and United Kingdom for various academic/research purposes. He has been awarded various research & travel fellowships /grants/awards like DST Young Scientist Research Grant, SERB-MATRICS Grant, COSTED Travel Fellowship, CIMPA-ICPAM Travel Grant (twice in 2004 & 2010), DST International Travel Grant (twice in 2009 & 2012), CCSTDS Travel Fellowship, NBHM Travel Grant (twice in 2010 & 2011), Faraday Bursary (Faraday Institute, University of Cambridge), ICTP (Italy) Guest Scientist Grant, ICIAM Funding (twice in 2011 & 2015), ICM-2014 Nanum Travel Grant, ICM-2018 Open Arms Grant, CSIR Travel Grant, UGC Junior and Senior Research Fellowships, etc. Overall, he has mobilized around INR 5 Million for various research-related activities.
He is an Associate Editor of the Dynamical Systems Section of Frontiers in Applied Mathematics and Statistics (FAMS), Image Processing section of Frontiers in Signal Processing, Chaos Theory and Applications (CTA), Section Editor of Current Indian Science and a Reviewer of more than 45 international journals published by Elsevier, World Scientific, AIMS, AIP, IoP, IET, Springer, SPIE, IEEE etc. He is a Senior Member of IEEE, IEEE Signal Processing Society, IEEE Information Theory Society, IEEE Computer Society, International Association of Computer Science and Information Technology (IACSIT), International Association of Engineers (IAENG), Federation of Education Leaders and Administrators (FELA).
Employment
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University of Petroleum and Energy Studies Professor2023 - Present
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Sir Padampat Singhania University Professor2015 - 2023
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Sir Padampat Singhania University Associate Professor2011 - 2015
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Sir Padampat Singhania University Assistant Professor2008 - 2011
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Apaji Institute of Mathematics and Applied Computer Technology Senior Lecturer2007 - 2008
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Apaji Institute of Mathematics and Applied Computer Technology Lecturer2005 - 2007
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MLS University Senior Research Fellow (UGC)2002 - 2004
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MLS University Junior Research Fellow (UGC)2000 - 2002
Education
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Mohanlal Sukhadia University PhD2000 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (104)
- A patch-wise deep residual network (PwDRU-Net102) for multimodal MRI brain tumor segmentation Save
- Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 Save
- Predictive Maintenance for Enhanced Resilience in Natural Disasters Save
- Preface Save
- A novel approach to pseudorandom number generation using Hamiltonian conservative chaotic systems Save
- Schema Understandability: A Comprehensive Empirical Study of Requirements Metrics Save
- A novel metric for assessing structural complexity of data warehouse requirements models Save
- Image Steganography Using Fractal Cover and Combined Chaos-DNA Based Encryption Save
- PSIS-based blind watermarking scheme (PSISBW) with tamper detection Save
- A family of robust chaotic S-unimodal maps based on the Gaussian function Save