Chandan Kumar Jha

About Me

Hey there, I am a Ph.D student at Indian Institute of Technology Gandhinagar (IIT Gandhinagar) working in the NanoDC lab under the supervision of Prof. Joycee Mekie. I work in the area of energy efficient computing. I have worked on the design of approximate circuits for both integer and floating point operations. I have also started looking into the field of approximate architectures which support approximate computing.

I received my B.Tech in Electronics and Communication Engineering from National Institute of Technology Meghalaya in 2015. I spent a semester in 2016 at Indian Institute of Technology Bombay. I also spent a semester of 2017 at Intel, Bangalore and was working on On Chip Power Distribution Networks. In 2019, I interned with Prof. Onur Mutlu at ETH Zurich, Switzerland. I have submitted my Ph.D. thesis and am open to opportunities.

I have also been a teaching assistant at IIT Gandhinagar for various courses like:

Publications

Conferences

  1. Chandan Kumar Jha, Sumit Walia, Gagan Kanojia, and Joycee Mekie, "FPCAM: Floating Point Configurable Approximate Multiplier for Error Resilient Applications," Accepted in IEEE International Symposium on Circuits and Systems 2021 (ISCAS '21).
  2. Ankita Nandi, Chandan Kumar Jha, and Joycee Mekie, "Tunable Inexact Subtractors for Division in Image Processing Applications," Accepted in IEEE International Midwest Symposium on Circuits and Systems 2020 (MWSCAS '20). [Paper]
  3. Chandan Kumar Jha, Kailash Prasad, Arun Singh Tomar, and Joycee Mekie, "SEDAAF: FPGA Based Single Exact Dual Approximate Adders for Approximate Processors," Accepted in IEEE International Symposium on Circuits and Systems 2020 (ISCAS '20). [Paper]
  4. Chandan Kumar Jha*, Kailash Prasad*, Vibhor Kumar Srivastava, and Joycee Mekie, "FPAD: A Multistage Approximation Methodology for Designing Floating Point Approximate Dividers," Accepted in IEEE International Symposium on Circuits and Systems 2020 (ISCAS '20). [Paper]
  5. Chandan Kumar Jha, Ankita Nandi, and Joycee Mekie, "Quality Tunable Approximate Adder for Low Energy Image Processing Applications," Accepted in IEEE International Conference on Electronics Circuits and Systems 2019 (ICECS '19). [Paper]
  6. Ankita Nandi, Chandan Kumar Jha, and Joycee Mekie, "Should We Code Differently When Using Approximate Circuits?," 2019 Asia Pacific Conference on Circuits and Systems (APCCAS '19). [Paper]
  7. Chandan Kumar Jha and Joycee Mekie, "Design of Novel CMOS based Inexact Subtractors and Dividers for Approximate Computing: An In-Depth Comparison with PTL based Designs," 2019 22nd Euromicro Conference on Digital System Design (DSD '19). [Paper]
  8. Chandan Kumar Jha and Joycee Mekie, "SEDA - Single Exact Dual Approximate Adders for Approximate Processors," 2019 56th Annual Design Automation Conference (DAC '19). [Paper]

Journals

  1. Chandan Kumar Jha, Ishita Doshi and Joycee Mekie, "Analysis of Worst-Case Data Dependent Temporal Approximation in Floating Point Units," in IEEE Transactions on Circuits and Systems II: Express Briefs (2020). [Paper]
  2. Chandan Kumar Jha, Sneha N. Ved, Ishant Anand and Joycee Mekie, "Energy and Error Analysis Framework for Approximate Computing in Mobile Applications," in IEEE Transactions on Circuits and Systems II: Express Briefs (2019). [Paper]

Posters

  1. Chandan Kumar Jha, Sumit Walia, Gagan Kanojia, and Joycee Mekie, "Floating Point Configurable Approximate Multiplier," Work-in-Progress, 56th Annual Design Automation Conference 2019 (DAC '19).
    1. * Authors have contributed equally