Career Profile

I am a first-year Ph.D. student at the Department of Computer Sciences at the University of Wisconsin-Madison, advised by Prof. Tsung-Wei (TW) Huang. My research focuses on High Performance Computing and Physical Design Automation Algorithms. My CV in PDF form can be found here.

Experience

Research Assistant

Summer 2024
University of Wisconsin Madison
  • Worked on ICCAD 2024 contest Problem B (Power and Timing Optimization using Multi-Bit Flipflops) under the supervision of Prof Tsung-Wei (TW) Huang.
  • Placed 6th out of 90 teams (with Honorable Mention).

Teaching Assistant

2023 - Present
University of Wisconsin Madison
  • TA for Operating Systems
  • Organized discussion lectures and programming projects for this course

Summer Research Internship

2022 - 2023
Center for Advanced Systems Understanding, Dresden, Germany

Formulated kernels for predicting density and total energy of Beryllium atoms from snapshots. Proposed kernels outperformed RBF kernel by two orders of magnitude and gave comparable results to the state of the art neural network models.

Summer Research Internship

2021-2022
Helmholtz-Zentrum Dresden Rossendorf, Dresden, Germany

Worked on a quadratic unconstrained binary optimization problem for decoding LDPC codes in AWGN & Rayleigh Fading Channel scenarios. Implemented a complete simulation of a communication system and tested under different channel noise intensities. Achieved lower Bit Error Rates using a programmable annealing device as compared to Max-Belief Decoding strategies.

Achievements

Placed 6th out of 90 teams (with Honorable Mention) in ICCAD 2024 Contest
HZDR Summer Research Fellowship (selected as 1 among 30 accepted applicants out of 350 total applicants)
Ranked 208 (top 0.01%) out of nearly 100k students appearing at the state level university entrance examination

Publications

Conference Papers and Journals

  • A shallow hybrid classical–quantum spiking feedforward neural network for noise-robust image classification
  • Konar D.,Das Sarma A.,Bhandary S.,Bhattacharyya S.,Cangi A.,Aggarwal V.
    Elsevier Applied Soft Computing
  • Deep Spiking Quantum Neural Network for Noisy Image Classification
  • Konar D., Aggarwal V.,Das Sarma A.,Bhandary S.,Bhattacharyya S.,Cangi A.
    2023 International Joint Conference on Neural Networks (IJCNN)
  • On Quantum-Enhanced LDPC Decoding for Rayleigh Fading Channels
  • Majumder U., Das Sarma A., Vaidya V., Girish Chandra M.
    2023 IEEE/ACM Symposium on Edge Computing (SEC)