Binod Kumar

Hi, I am working as an Assistant Professor in Electrical Engineering department at IIT Jodhpur (IITJ). You can reach me at binod@iitj.ac.in

Office Location: Room No.- PHY 209 (1st Floor), Physics Building (adjacent to Electrical Engineering building), IIT Jodhpur

Broad Research Interests: Hardware Design for AI, VLSI CAD & EDA, Reconfigurable Computing (FPGA-based system design), Formal and Semi-formal Design Verification, Hardware Security and Trust

List of Publications: Google Scholar, DBLP

I have received Ph.D. (alongwith Masters) in Electrical Engineering from Indian Institute of Technology Bombay (IITB). Before Joining IITJ, I spent ~2 years at Qualcomm India (SoC DfT) working in test, debug and post-silicon validation strategy development for some of the most advanced and complex chipsets of the industry. I have a Bachelor of Technology degree in Electronics & Communication Engineering (ECE) from National Institute of Technology Silchar (NITS). For a brief period after my graduation, I worked at Reliance Jio in the IP Multi-Media Sub-system team in testing and validation roles.

Course(s) Taught/Teaching:

July-Nov 2021: Formal Verification, Engineering Realization (Embedded Hardware Component)
Jan-May 2022: Embedded Systems, Digital Systems Laboratory, VLSI Testing, High Level Synthesis (jointly with other colleagues)
July-Nov 2022: Formal Verification
July-Nov 2022 (Visiting Faculty @NRTI Vadodara): Introduction to Electrical & Electronics Engineering, Electronic System Design: Analog Electronic Devices
Jan-May 2023: Embedded Systems, Digital Systems Laboratory, Hardware-software Co-design
July-Nov 2023: Formal Verification, Digital ASIC Design Lab
Jan-May 2024: Embedded Systems[ Minor 1 QP , Minor 2 QP ], Digital Systems Laboratory, Hardware-software Co-design[ Minor 1 QP , Minor 2 QP , Major QP ] Hardware Design for AI [ Minor 1 , Minor 2 , Major]
July-Nov 2024: Formal Verification, Digital ASIC Design Lab, Processor Design, Network-On-Chip
Jan-May 2025: Embedded Systems, Digital Systems Laboratory, Hardware-software Co-design Hardware Design for AI, ML in VLSI CAD

Other information: LinkedIn

Updates:

July 25: Our work is set to appear in IEEE Transactions on Biomedical Circuits and Systems: FPGA-based Medical Image Processing Using Hardware-Software Co-design Approach
July 25: Our work on DL-based human activity recognition (HAR) is accepted in IEEE Sensors Journal: Hierarchical Multiscale CNN with Frequency-Aware Attention for Enhanced HAR
June 25: Our work appears in Embedded System Letters: Zero-Shot Fused Attention-Based GPT-2 Accelerator for Resource-Constrained Embedded Platform
May 25: Our work is accepted at ISVLSI-2025 : Resource-Efficient LSTM Architecture for Keyword Spotting with CORDIC-Activation Approximation
Apr 25: Ayush (MTech graduate) starts his job at Sandlogic to work on AI accelerator architectures.
Jan 25: Our work is accepted in Embedded System Letters: Lightweight Surveillance Image Classification Through Hardware-Software Co-Design
Dec 24: Paper accepted at IEEE TIM: On-Chip Implementation of Neural Network Based Classifier Models For E-nose With Chemometric Analysis [Collaborative work with IIITA]
Nov 24: Elevated to Senior Member, IEEE
Oct 24: Papers accepted at Asian Test Symposium-2024: MEMFD: A Multi-EDT Multi-Fault Scan Chain Diagnosis Methodology with Deep Learning, LLM-aided Front-End Design Framework For Early Development of Verified RTLs
Oct 24: Paper accepted at VLSID-2025: Multi-Object Detection through Meta-Training in Resource-Constrained UAV-based Surveillance Applications
Sept 24: Two papers accepted at IEEE-iSES'24 : Harnessing Knowledge-Distillation for Lightweight AI-Implementation on Resource-Constrained Device, A Reconfigurable Floating-Point Compliant Hardware Architecture for Neural Network Implementation
Sept 24: Received Distinguished Teacher Award from IIT Jodhpur
May 24: Two papers accepted at ISOCC'24 : Resource-efficient DL Model Inference with Weight Clustering and Zero-skipping, Lightweight DL-based Drone Image Classification for Surveillance Applications
Apr 24: Received Qualcomm Faculty Award
Jan 24: Patent granted (design bug localization)
Aug 23: Paper accepted at ATS-2023: A Case Study on Formally Verifying an Open-source Deep Learning Accelerator Design [Work done with Anshul Jain (Intel)]
July 23: Delivered an expert talk in Karyashala workshop on AI/ML Algorithms and Applications in VLSI Design and Technology at DAIICT, Gandhinagar.
MTech student Sourav placed in IBM hardware EDA R&D.