National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Faculty Profile

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Scopus ID
Researcher ID
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BIOGRAPHY

Dev Narayan Yadav received the M.Tech. degree in Computer Science and Engineering from the National Institute of Technology Meghalaya, India, in 2018 and the PhD degree in 2023 from the Indian Institute of Technology Kharagpur, India. He is currently working as an assistant professor at the department of CSE, NIT Rourkela. His research interests include emerging memory technology, particularly memristor and its applications in logic design and neural network accelerators.

EXPERTISE INFORMATION

Research Group
  • Network and Secured Computing
Areas of Interest
  • In-Memory Computing
  • Indian Market Trend Prediction
  • Network Security

Dev Narayan Yadav
देव नारायण यादव Assistant Professor Grade-II, Computer Science and Engineering

yadavd@nitrkl.ac.in

Biosketch

14

PUBLICATIONS

4

DOCTORAL STUDENTS

4

CONTINUING EDUCATION

PERSONAL INFORMATION

Dev Narayan Yadav

Assistant Professor Grade-II

Computer Science and Engineering

Room Number: CS-204

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

2023

Ph.D.
Computer Science and Engineering
IIT Kharagpur

2018

M.Tech
Computer Science and Engineering
NIT Meghalaya

2016

B.E
Information Technology
Govt. Engg. College Jagdalpur

Teaching Experience
  • Computer Networking, Compilers,  ITER Bhubaneswar,   21 Aug 2023 - 31 Jul 2024
  • Computer Architecture,  UPES Dehradun,   15 May 2023 - 14 Aug 2023

5
GOOGLE SCHOLAR H-INDEX 5
GOOGLE SCHOLAR I10-INDEX 5
SCOPUS H-INDEX
Total Publications: 14
View All Publications

K. K. Rathore, U. Raj, . Sahil, and Dev. N. Yadav,"Beating the clock: volatility-guided deep learning for intraday index trading", in Advanced Network Technologies and Intelligent Computing (ANTIC 2025), no.5, pp.167-180, Springer Nature Switzerland, December 2027, View Details       Inproceedings

P. Samanta, Dev. N. Yadav, P. P. Das, and I. Sengupta,"Analyzing bridge synaptic neuron circuit and mapping to memristor crossbar for neuromorphic application", Journal of Circuits, Systems and Computers, vol.35, no.16, pp.2650077, World Scientific Publishing Company 2026, View Details       Article

. Sahil, K. K. Rathore, U. Raj, B. Sethi, P. L. Thangkhiew, and Dev. N. Yadav,"Fault Resilience in Memristor Crossbar: Sensitivity-Driven Mapping for Neural Accelerators", in Advanced Network Technologies and Intelligent Computing, pp.41-54, Springer Nature Switzerland, 5, December 2025, View Details       Inproceedings

Dev. N. Yadav, P. L. Thangkhiew, F. Lalchhandama, K. Datta, R. Drechsler, and I. Sengupta,"Improving self-fault-tolerance capability of memristor crossbar using a weight-sharing approach", in 2024 IEEE 33rd Asian Test Symposium (ATS), pp.1-6, IEEE 2024, 10.1109/ATS64447.2024.10915508       Inproceedings

Dev. N. Yadav, P. L. Thangkhiew, S. Chakraborty, and I. Sengupta,"Efficient grouping approach for fault tolerant weight mapping in memristive crossbar array", Memories - Materials, Devices, Circuits and Systems, vol.4, no.100045, Elsevier 2023, 10.1016/j.memori.2023.100045       Article

Deep Learning for Network Security and Threat Detection Computer Science and Engineering (Short-term Course)
Ethical Hacking: A Hands-On Approach Computer Science and Engineering (Workshop)
One-Week Short-term Course (Hybrid) On Trusted Circuits (TCF2HSec25) Foundations & Frontiers of Hardware Security Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 01 Dec 2025 - 05 Dec 2025
  • Brochure
Short Term Course on Deep Learning for Cryptography Computer Science and Engineering (Short-term Course)
  • Co-Coordinator
  • 09 Jun 2025 - 13 Jun 2025
  • Brochure

  • Database Engineering {Theory}
  • Foundations of Computer Security {Theory}
  • Intrusion Detection Systems {Theory}
  • IoT and Embedded Systems {Theory}
  • Microcontroller Systems and Applications {Theory}
  • Advanced Programming Laboratory {Practical}
  • AI and ML Laboratory {Practical}
  • Database Design Laboratory {Practical}
  • IoT Prototyping Laboratory {Practical}

Ph.D. Students [3]
Machine Learning and Embedded System
Souvik Chakraborty
Enrolled: Jan 2026
Continuing
Co-Supervisor
Memristor Based Architecture for Machine Learning
Aniruddha Sarkar
Enrolled: Jan 2026
Continuing
Supervisor
Network Security and Intrusion Detection Systems
Manish Kumar Pradhan
Enrolled:
Continuing
Supervisor
Executive Ph.D. Students [1]
Artificial Intelligence/Machine Learning
Saroj Nayak
Enrolled:
Continuing
Supervisor

Awards And Honours
  • Best Paper Award: IEEE 2020 International Test Conference India (ITC India),   2020

  • Co-PIC - Centre For Extra Academic Activity