National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Faculty Profile

ORCID ID
Scopus ID
Researcher ID
Google Scholar ID

EXPERTISE INFORMATION

Research Group
  • Intelligent Computing and Computer Vision
Areas of Interest
  • EDA Tools for Integrated Circuits
  • Hardware Security
  • Deepfake Detection and Mitigation
  • Intelligent IoT Systems & CPS
  • Hardware Acceleration
  • Embedded and Cyber Physical Systems
  • Quantum Computing and Machine Learning

Shyamapada Mukherjee
শ্যামাপদ মুখার্জী Associate Professor, Computer Science and Engineering

mukherjees@nitrkl.ac.in

0661 - 246 2357

Biosketch

57

PUBLICATIONS

3

SPONSORED PROJECTS

10

DOCTORAL STUDENTS

15

CONTINUING EDUCATION

PERSONAL INFORMATION

Shyamapada Mukherjee

Associate Professor

Computer Science and Engineering

Room Number: CS-221

Department of Computer Science and Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2015

Ph.D.
VLSI Physical Design Automation and FPGA Architectures
NIT Durgapur

2006

M.Tech
Computer Science and Engineering
University of Calcutta

2004

B.E
Computer Science and Engineering
University of Burdwan

Teaching Experience
  • Computer Science and Engineering,  NIT Rourkela,   28 Jun 2023 - Present
  • Computer Science and Engineering,  NIT Silchar,   21 Jul 2016 - 27 Jun 2023
  • Computer Science and Engineering,  BITS Pilani Rajasthan,   30 Dec 2015 - 17 Jul 2016
  • Computer Science and Engineering,  Dr. B. C. Roy Engineering College Durgapur,   01 Mar 2007 - 23 Dec 2015
Laboratory Development
  • Internet of Things,  NIT Silchar,   Internet of things lab at the department of CSe of NIT Silchar is equipped with mordern processor boards, signal generator and many more items for performing experiments
  • SecureChip Lab,  NIT Rourkela,   It is a lab for carry out experiments related to IC/Hardware security issues.

Establishment of Integrated Undergraduate Quantum Technology Laboratory for Experiential Learning in Computing, Communication, Sensing, and Materials DST
  • Co-Investigator
  • 60
  • Running   Sponsored
Information Security Education and Awareness (ISEA) Project Phase-III Meity
  • Principal Investigator
  • 60
  • Running   Sponsored
Distributed Quantum Computing MHRD
  • Principal Investigator
  • 24
  • Completed   Sponsored

8
GOOGLE SCHOLAR H-INDEX 6
GOOGLE SCHOLAR I10-INDEX 8
SCOPUS H-INDEX
Total Publications: 57
View All Publications

S. Mukherjee and A. J. Mahanta,"A unified graph neural network pipeline for hardware Trojan detection", Integration, Elsevier 2026, 10.1016/j.vlsi.2026.102775       Article

I. Yadav, S. Beura, and S. Mukherjee,"AFSA: Autonomous Few-Shot Prototype Adaptation for Open-Set Deepfake Detection", in 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, May 2026, 10.1109/ICICV68925.2026.11554896       Inproceedings

A. J. Mahanta and S. Mukherjee,"based fault classification in side-channel power traces with robust preprocessing and regularization", in 2026 6th International Conference on Expert Clouds and Applications (ICOECA), pp.192-198, IEEE, March 2026, 10.1109/ICOECA68095.2026.11485507       Inproceedings

L. Sen and S. Mukherjee,"Mapping networks", in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, June 2026       Inproceedings

S. Agrawal and S. Mukherjee,"Detection of hardware trojans inserted via superfluous multiplexers", in 2025 IEEE 6th India Council International Subsections Conference (INDISCON), IEEE, December 2026, 10.1109/INDISCON66021.2025.11251608       Inproceedings

Short Term Course ABHEDYA 2026 (Applied Basics of Hardware Engineering, Design, Security & Assurance) Computer Science and Engineering (Short-term Course)
Faculty Development Programme On Secure Hardware Architecture, Systems, Trust & Research Advancement (SHASTRA 2026) Computer Science and Engineering (Short-term Course)
ISEA Phase III Internship Program on Secure Hardware Computer Science and Engineering (Short-term Course)
SPARC International Symposium on Quantum Computing and Applications (SPARC-QC-2026) Computer Science and Engineering (Conference)
One-Week Faculty Development Program on “Designing Secure Hardware” Computer Science and Engineering (Short-term Course)
ISEA III Bootcamp Program on Hardware Security: From Circuits to FPGA Computer Science and Engineering (Short-term Course)
One-Week Short-term Course (Hybrid) On Trusted Circuits (TCF2HSec25) Foundations & Frontiers of Hardware Security Computer Science and Engineering (Short-term Course)
One-Week Bootcamp on Hardware Security and Tools (BoSHaT25) (Offline) Computer Science and Engineering (Short-term Course)
Five-day GIAN Course on Artificial Intelligence in Engineering Business Processes Computer Science and Engineering (Workshop)
Two-week Workshop On Quantum Computing: Circuits, Algorithms, and Machine Learning (QuCAM) Computer Science and Engineering (Workshop)
12th International Conference on Intelligent Systems and Embedded Design (ISED-2024) Computer Science and Engineering (Conference)
12th International conference on Intelligent Systems and Embedded Design (ISED 2024) Computer Science and Engineering (Conference)
One Week Faculty Development Programme on Hardware Security (HaSEC24) Computer Science and Engineering (Short-term Course)
A Short-Term Course on Cyber Safety and Security 2024 Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 24 Oct 2024 - 28 Oct 2024
  • Brochure
Fundamentals of Quantum Computing (FQC 2024) Computer Science and Engineering (Short-term Course)

  • Compiler Design {Theory}
  • Data Structures {Theory}
  • Introduction to AI and ML {Theory}
  • Principles of Operating Systems {Theory}
  • Quantum Computing {Theory}
  • Applied Hardware Architecture Laboratory {Practical}
  • Compiler Design Laboratory {Practical}
  • Computing Architectures & Accelerators Laboratory {Practical}
  • Data Structures Laboratory {Practical}

Ph.D. Students [8]
Development of text summarization methods to accumulate significant information related to disaster events from online disaster news articles
Sumanta Banerjee
Enrolled:
Graduated :  2024
Supervisor
Design and Deployment of a Reward-based Framework for Sustainable Waste Management in smart cities using Blockchain, Deep Learning, and IoT
Yagnyasenee Sen Gupta
Enrolled:
Graduated :  2024
Supervisor
Placement Solutions for Heterogeneous FPGA Architecture
Sharbani Purkayastha
Enrolled:
Graduated :  2023
Supervisor
A Stuty and Development of Efficient Algorithms for Solving Placement Problems in Large Scale Mixed-size Design VLSI Circuits
Prasun Datta
Enrolled:
Graduated :  2022
Supervisor
SAT Based Rectilinear Steiner Tree Construction and its Applications in Global Routing
Sudeshna Kundu
Enrolled:
Graduated :  2022
Co-Supervisors
Hardware Security
Ananya Jyoti Mahanta
Enrolled: Jul 2024
Continuing
Supervisor
DeepFake
Sonali Beura
Enrolled: Jul 2024
Continuing
Supervisor
1.Quantum Computing, 2. AI & ML, 3.Deep learning, 4. Image Processing and ML
Ayush Kumar Tungo
Enrolled: Jul 2025
Continuing
Co-Supervisor
Executive Ph.D. Students [2]
Quantum Machine Learning (QML) and Hybrid Classical-Quantum AI Models
Satyajit Rakshit
Enrolled:
Continuing
Supervisor
Quantum Computing
Rajesh Kumar Jena
Enrolled: Jul 2025
Continuing
Supervisor
M.Tech by Research Students [6]
Health Monitoring with Smartphone Sensors and Machine Learning
Rahul Kusuma
Graduated :  2023
Supervisor
Smart Healthcare Remote Monitoring System using Internet of Things
Rahul Kumar
Graduated :  2019
Supervisor
Placement Solution for Homogeneous FPGA using Tree-based Algorithm
Ashish Kumar
Graduated :  2018
Supervisor
Plant Inspired Global Placement of Mixed-sized Hierarchical VLSI Circuits
Alok Das
Graduated :  2017
Supervisor
Hardware Security
Pratyush Mahapatra
Continuing
Co-Supervisor
M.Tech(R)
Arpita Gupta
Continuing
Supervisor

Memberships / Fellowships
  • Senior Member of IEEE,   2023