Abhishek Kumar Singh

Received the B.Tech. from Indian Institute of Technology, Kanpur (Electrical Engineering, 2016). Presently, a third year doctoral candidate at the Department of Computer Science, Princeton University. The key focus of ongoing research is on classical, quantum, and quantum-inspired computation for next-generation wireless systems.

• A. K. Singh, K. Jamieson, P. L. McMahon and D. Venturelli, "Ising Machines’ Dynamics and Regularization for Near-Optimal MIMO Detection," in IEEE Transactions on Wireless Communications, 2022.
• S. Kasi, A. K. Singh, D. Venturelli and K. Jamieson, "Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding," ICC 2021 - IEEE International Conference on Communications, 2021.
• S. Gadhai, A. K. Sah, A. K. Singh, R. Budhiraja and A. K. Chaturvedi, "New Block-Based Spatial Modulation," in IEEE Communications Letters, vol. 22, no. 10, Oct. 2018.
• A. K. Singh, "Fast inversion of positive definite Hermitian matrices using real inverse operations," 2015 Annual IEEE India Conference (INDICON), 2015.

• Singh, A. K., Venturelli, D., & Jamieson, K. (2022). A Finite-Range Search Formulation of Maximum Likelihood MIMO Detection for Coherent Ising Machines (arXiv:2205.05020).
• Singh, A. K., & Jamieson, K. (2022). TreeStep: Tree Search for Vector Perturbation Precoding under per-Antenna Power Constraint (arXiv:2204.07570).

Samsung R&D Institute India - Bangalore (June 2016 - July 2019):

• Pre-5G FPGA Based UE design and development based on pre-5G specification by Verizon (V5G)

• RLC for 5G NR DU (Distributed Unit of NR Base Station) based on 5G NR specification.

• 3GPP Standardization for NR Unlicensed and NR Aerial (Non-Terrestrial Networks) operation; focussing on MAC and Physical Layer Procedures.

• COS 461: Computer Networks (Fall 2020)
• COS 418: Distributed Systems (Spring 2021)