Debajyoti Mukhopadhyay

About

Dr. Debajyoti Mukhopadhyay has been the Founder Director of WIDiCoReL Research Lab since 2002. Currently he is Dean at Bennett University. He was the Director, Dean (R&D) at Mumbai University. He was the Dean and a Distinguished Professor at ADAMAS University. He was the Dean (R&D) and Professor & Head of Information Technology Department at Maharashtra Institute of Technology, Pune. Prior to that, he was the Director of Balaji Institute of Telecom & Management Pune, India. During 2008-2010 for almost three years, he was the founding Head and Professor of the Information Technology & MIS at Calcutta Business School.


Dr. Mukhopadhyay was a Visiting Scholar in the Center for Secure Information Systems at George Mason University at it's Fairfax campus in Virginia (USA)(June-July 2014). He is a Distinguished Adjunct Professor at Curtin University (Australia). He also holds Adjunct Professorship at Monarch Business School (Switzerland), College of Engineering Pune (India) and Thapar University (India). Earlier, he was a full Professor of Computer Science & Engineering at the West Bengal University of Technology affiliated Engineering Colleges during 2001-2008. Dr. Mukhopadhyay was a Visiting Professor in the Division of Electronics & Information Engineering at Chonbuk National University, (Korea) (2006-2007). He had also taught at Stevens Institute of Technology, New Jersey (USA) (1982-1984) and at Bengal Engineering College affiliated to Calcutta University, West Bengal (India) (1980-1981). He worked as a Research Fellow at Indian Statistical Institute, Calcutta (India)(1979-1980).


During 1982-1994, 1999 and in 2014, Dr. Mukhopadhyay was in the USA. He had worked at Bell Communications Research, New Jersey (USA) in its Computing Systems and Architecture Lab.


Dr. Mukhopadhyay had also held the positions of President & CEO of Data-Core (India) Limited of Kuljian Corporation (USA) & DCPL (India), Technical Director of M.N. Dastur & Co Ltd, Director of SriSoft Corporation (Los Angeles), Dy GM of TIL Limited, and Senior Consultant of Tata Consultancy Services.

Dr. Mukhopadhyay holds a B.E. (Electronics) from the University of Calcutta (India), a D.C.S. (Computer Science & Applications) from The Queen's University of Belfast (UK), an M.S. (Computer Science) from Stevens Institute of Technology (USA), and a Ph.D.(Engineering) (Computer Science) from Jadavpur University (India).

Employment

• Bennett University Dean, School of Engineering & Applied Sciences
  2020 - Present
• Mumbai University affiliated Engineering College Director, Dean (R&D) and Professor & Head
  2018 - 2020
• ADAMAS University Dean and Distinguished Professor
  2017 - 2018
• Maharashtra Institute of Technology Dean (R&D) and Professor & Head of IT
  2011 - 2017
• WIDiCoReL Research Lab Founder Director
  2002 - Present
• Bellcore Scientist
  1987 - 1994

Education

• Jadavpur University Ph.D.
  1992 - 1994
• Stevens Institute of Technology MS
  1982 - 1984
• Queen's University Belfast Postgraduate Diploma
  1978 - 1979
• Indian Institute of Engineering Science and Technology BE
  1972 - 1977

Projects & Funding

Projects & funding information is unavailable.

Publications (144)

• A Convolutional Recurrent Neural Network-Based Model For Handwritten Text Recognition To Predict Dysgraphia
  2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS) 2023 DOI: 10.1109/iciscois56541.2023.10100514
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• CyINSAT: Cyclone Dataset from Indian National Satellite for Forecasting
  2023 DOI: 10.1007/978-981-99-2602-2_24
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• Fusion-Based Feature Extraction Technique Using Representation Learning for Content-Based Image Classification
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-19-8493-8_17
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• Forecasting North Indian Ocean Tropical Cyclone Intensity
  2022 Smart Technologies, Communication and Robotics (STCR) 2022 DOI: 10.1109/stcr55312.2022.10009275
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• Extracting the Relationships Among Students Based on Accessing Pattern of Digital Learning Attributes
  IEEE Transactions on Learning Technologies 2022 DOI: 10.1109/TLT.2022.3166537
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• Ascertain the efficient machine learning approach to detect different ARP attacks
  Computers and Electrical Engineering 2022 DOI: 10.1016/j.compeleceng.2022.107757
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• A Study on Video Analytics and Their Performance Analysis for Various Object Detection Algorithms
  2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 2022
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• Machine Learning based Detection of Cyber Crime Hub Analysis using Twitter Data
  2021 DOI: 10.1109/GUCON50781.2021.9573736
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• Scheme Invisible Internet Protocol (I2P) using Blockchain techniques for tracking Darkweb User Activities
  2021 DOI: 10.1109/GUCON50781.2021.9573880
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• Automated DDOS attack detection in software defined networking
  Journal of Network and Computer Applications, 2021, 187, 103108 2021 DOI: https://doi.org/10.1016/j.jnca.2021.103108
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