BIOGRAPHY
Dr. Supratim Gupta is an Associate Professor at the National Institute of Technology (NIT) Rourkela, currently on leave and serving as a postdoctoral fellow at the Department of Electrical, Computer and Software Engineering (ECSE), University of Auckland. He is actively involved with the PRETZEL research group and collaborates with Google DeepMind. Dr. Gupta holds a Ph.D. in Electrical Engineering from the Indian Institute of Technology (IIT) Kharagpur, and earned his B.E.E. and M.E.E. degrees from Jadavpur University. His research expertise spans image and signal processing, embedded systems, and digital circuit design. He has published numerous peer-reviewed papers and holds an Indian patent granted, with another patent application filed. Dr. Gupta’s academic contributions and innovations have received international recognition. Throughout his career at NIT Rourkela, he has mentored many students who have secured positions at leading technology companies including Qualcomm, AMD, Intel, and Analog Devices, demonstrating his commitment to nurturing industry-ready professionals. Currently, Dr. Gupta advances research and development through collaborations at the University of Auckland and industry partners, effectively bridging theoretical advancements with practical applications in engineering and computational engineering fields.
EXPERTISE INFORMATION
Research Group
- Communication and Signal Processing
Areas of Interest
- Embedded Computing System Design with Algebraic Methods, Digital Signal Processing, Computer Vision, Digital Image Processing on FPGA based Systems, Human Computer Interaction, Distributed Network
Supratim Gupta
সুপ্রতিম গুপ্ত
Associate Professor & Warden (Satish Dhawan Hall of Residence)
Electrical Engineering
guptasu@nitrkl.ac.in
0661 - 246 2421
29
PUBLICATIONS2
SPONSORED PROJECTS6
DOCTORAL STUDENTSPERSONAL INFORMATION
Supratim Gupta
Associate Professor
Electrical Engineering
Room Number: EE-129
Department of Electrical Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008
2013
Ph.D.
Digital Image ProcessingIndian Institute of Technology Kharagpur
2004
M.E
Electrical Engineering (Specialization in Measurement & Instrumentation)Jadavpur University
2002
B.E
Electrical EngineeringJadavpur University
Teaching Experience
- Embedded System, Signal Processing, National Institute of Technology Rourkela, 01 Jul 2011 - Present
Design, development and prototyping of state of the art Hybrid Energy Storage System (HESS) based high power high speed Electric Vehicle (EV) drive train for a Multy Utility Vehicle (MUV). SERB, DST
- Co-Investigator
- 36
- Completed Sponsored
Reconfigurable hardware to detect drowsy operator from eye image under spectacles BRNS
- Principal Investigator
- 36
- Completed Sponsored
Total Publications: 29
S. K. Panigrahi, S. Gupta, and P. K. Sahu,"Curvelet-based multiscale denoising using non-local means & guided image filter", IET Image Processing, pp.1-11, The Institution of Engineering and Technology 2018, 10.1049/iet-ipr.2017.0825 Article
S. Gupta, R. Biswal, and S. Gupta,"Toward Computational Model of Emotion from Individual Difference in Perceiving Facial Expressions", Psychological Studies, vol.63, no.3, pp.266-275, Springer, September 2018, 10.1007/s12646-018-0459-5 Article
Z. L. Mayaluri and S. Gupta,"Spectacle problem removal from facial images based on detail preserving filtering schemes", Journal of Intelligent & Fuzzy Systems, vol.36, no.3, pp.2055-2065, IOS Press, March 2019, 10.3233/JIFS-169917 Article
S. Gupta, Z. L. Mayaluri, and N. Panda,"A human video database for facial feature detection under spectacles with varying alertness levels: A baseline study", Cognitive Computation and Systems, vol.2, no.3, pp.93-104, IET 2020, 10.1049/ccs.2019.0014 Article
S. Gupta, Z. L. Mayaluri, N. Panda, and S. Gupta,"Measuring human alertness from histogram of response time to audio-visual stimuli", Chronobiology International, vol.36, no.10, pp.1447-1453, Taylor and Francis 2019, 10.1080/07420528.2019.1650058 Article
- EE100 : Basic Electrical Engineering {Theory}
- EE209 : Network Analysis {Theory}
- EE241 : Network Theory {Theory}
- EE244 : Signals and Systems {Theory}
- EE3401 : Embedded Systems {Theory}
- EE342 : Embedded Systems {Theory}
- EE356 : Digital Signal Processing {Theory}
- EE6103 : Advanced Signal Processing {Theory}
- EE6104 : Embedded Computing Systems {Theory}
- EE645 : Adaptive Signal Processing {Theory}
- EE664 : Embedded Computing Systems {Theory}
- EE732 : System Design using HDL {Theory}
- EE270 : Electrical Engineering Laboratory {Practical}
- EE2700 : Basic Electrical Engineering Laboratory {Practical}
- EE3704 : Embedded Systems Laboratory {Practical}
- EE473 : Control and Electrical Systems Design Laboratory {Practical}
- EE481 : Embedded Systems Laboratory {Practical}
- EE6174 : Real-Time Systems Laboratory {Practical}
- EE674 : Embedded System Laboratory {Practical}
- EE674 : Real-Time Systems Laboratory {Practical}
Ph.D. Students [5]
Detecting Human Alertness on System on Chip (SoC) using Dual Cues
Nidhi PandaEnrolled: Aug 2016Graduated : Jul 2023Supervisor
Ocular Feature Detection under Spectacles
Zefree Lazarus MayaluriEnrolled: Jul 2013Graduated : Feb 2021Supervisor
Image Denoising by Edge Preserved Curvelet Thresholding
Susant Kumar PanigrahiEnrolled: Jul 2012Graduated : Jun 2019Supervisor
Computer Architecture, Memristor-aided logic, instruction scheduling, code optmization
Shwetapadma BabuEnrolled: Jul 2025ContinuingCo-Supervisor
Power Electronics and Control
Sourabh DasEnrolled: Jul 2019ContinuingCo-Supervisor
Executive Ph.D. Students [1]
Real time Compressed Measurement on Digital platform
Sushant Satish SawantEnrolled: Jul 2025ContinuingSupervisor
Memberships / Fellowships
- IEEE(Mem. no.- 90807388), 2024