BIOGRAPHY
Dr. Prasenjit Dey received the B.Tech. degree in computer science and engineering from the West Bengal University of Technology, dolkata, India, in 2010, and the M.Tech. Degree in computer science and engineering from the National Institute of Technology Durgapur, Durgapur, India, in 2012. He was an Associate Innovator with Nivio Technologies, Gurgaon, India, in 2012. He was a hardware graphics designer at Intel from 2017 to 2018. He received his Ph.D. degree in computer science and engineering from the National Institute of Technology Durgapur, Durgapur, India, in 2018. He was an Assistant Professor in computer science and engineering department at Cooch Behar Government Engineering College, Cooch Behar, India. He has joined the National Institute of Technology Rourkela, Odisha, India as an Assistant Professor in the Department of Computer Science in 2023 and is currently working. His current research interests include artificial neural networks, pattern recognition, machine learning, etc. He has many research publications in internationally reputed journals like IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Artificial Intelligence, IEEE internet of things journal impact, Biomedical Signal Processing and Control, etc. He has more than 15 research publications in internationally reputed edited books and international conference proceedings.
EXPERTISE INFORMATION
Research Group
- Intelligent Computing and Computer Vision
Areas of Interest
- Machine Learning
- Soft Computing
- Pattern Recognition
- Artificial Neural Networks
- Deep Learning
Prasenjit Dey Assistant Professor Grade-II
Computer Science and Engineering
deyp@nitrkl.ac.in
22
PUBLICATIONS1
SPONSORED PROJECTS2
CONTINUING EDUCATIONPERSONAL INFORMATION
Prasenjit Dey
Assistant Professor Grade-II
Computer Science and Engineering
Room Number: CS-321
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008
2018
Ph.D.
Computer Science and EngineeringNational Institute of Technology Durgapur
2012
M.Tech
Computer Science and EngineeringNational Institute of Technology Durgapur
2010
B.Tech
Computer Science and EngineeringCollege of Engineering and Management, Kolaghat
Teaching Experience
- Machine Learning, Big Data, Operating Systems, Computer Organization, Comuter Architecture, Object Oriented Programming, Multimedia, Cooch Behar Government Engineering College, 28 Jun 2018 - 24 Jul 2023
Industrial Experience
- Hardware Graphics Engineer, Intel, 27 Feb 2017 - 27 Jun 2018
- Cloud Computing, Nivio Technologies, 16 Jul 2012 - 28 Nov 2012
Prototyping of ML based Solar & Wind Forecasting Approach and Intelligent Power Management Scheme for Hybrid Storages in On-board Naval Microgrid DRDO
- Co-Investigator
- 36
- Running Sponsored
Total Publications: 22
R. Mondal, T. Pal, and P. Dey,"Discriminative Regularized Input Manifold for multilayer perceptron", Pattern Recognition, pp.110421, Elsevier 2024, View Details Article
P. Dey, S. K. Adhikari, S. De, and I. Kar,"Internet of Things-Based Machine Learning in Healthcare Book Internet of Things-Based Machine Learning in Healthcare Technology and Applications", 1, pp.242, Chapman and Hall/CRC 2024, View Details EditedBook
K. Subashis, K. Supreeti, P. Dey, P. Guhathakurta, M. Dalui, T. K. Bera, S. Halder, C. Koley, T. Pal, and A. Basu,"Real time detection of cognitive load using fnirs: a deep learning approach", Biomedical Signal Processing and Control, vol.80, no.1, pp.104227, Elsevier 2023, 10.1016/j.bspc.2022.104227 Article
R. Mondal, T. Pal, and P. Dey,"A hybrid regularized multilayer perceptron for input noise immunity", IEEE Transactions on Artificial Intelligence, pp.1-12, IEEE 2023, 10.1109/TAI.2022.3225124 Article
B. Egala, A. Pradhan, P. Dey, V. Badarla, and S. Mohanty,"Fortified-chain 2.0: intelligent blockchain for decentralized smart healthcare system", IEEE Internet of Things Journal, vol.10, no.14, pp.12308 - 12321, IEEE 2023, 10.1109/JIOT.2023.3247452 Article
Applications of Machine Learning Techniques in Sustainable Technologies (AMLST-2024) Electrical Engineering (Short-term Course)
- Coordinator
- 24 Jan 2024 - 28 Jan 2024
- Brochure
Recent Trends in Computer Vision (RTCV-2023) Computer Science and Engineering (Short-term Course)
- Coordinator
- 11 Dec 2023 - 15 Dec 2023
- Brochure
- CS2003 : Discrete Structures {Theory}
- CS2011 : Introduction to AI and ML {Theory}
- CS2062 : Database Management Systems {Theory}
- CS6315 : Data Science {Theory}
- CS1010 : Programming for Problem Solving {Practical}
- CS2072 : Database Engineering Laboratory {Practical}
- CS3071 : Operating Systems Laboratory {Practical}
- CS6385 : Data Science Laboratory {Practical}