Minsung Kim

I am an Assistant Professor in the Department of Computer Science and WINLAB at Rutgers University. I am also an Associate Graduate Faculty in the Department of Electrical and Computer Engineering. Before joining Rutgers, I was a Postdoctoral Associate at Yale University. I received my Ph.D. in Computer Science from Princeton University, supported by the Siebel Scholars Fellowship and the Qualcomm Innovation Fellowship.

I study quantum and emerging computing systems for next-generation wireless networks. The research aims to leverage quantum and quantum-inspired computation to expedite NextG baseband processing at base station systems, which would unlock unprecedented levels of wireless performance in communication networks. 

I am looking for self-motivated students/postdocs. If you are interested in working with me (for topics on Quantum x Wireless x AI x Systems), feel free to contact me (minsungk.cs@rutgers.edu) with your CV.

Email: minsungk.cs@rutgers.edu | Office: CoRE 313 | 110 Frelinghuysen Road, Piscataway, NJ   

[Rutgers CoRE]

News

[Nov. 2024] serving on TPC for ACM MobiSys 2025

[Sep. 2024] started at Rutgers University as Assistant Professor of Computer Science 

[Aug. 2024] one paper accepted to IEEE Transactions on Wireless Communications

[Apr. 2024] selected as Rising Stars - ACM MobiSys 2024

[Mar. 2024] nominated for the 2023 ACM SIGMOBILE Doctoral Dissertation Award  

[Nov. 2023] started at Yale as Postdoctoral Associate

[Nov. 2023] won the 2023 KOCSEA Moon-Jung Chung Scholarship 

[Oct. 2023] nominated for the 2023 ACM Doctoral Dissertation Award 

[Sep. 2023] won the Siebel Scholars Award (Class of 2024 CS Siebel Scholar)

education

Princeton University, NJ            

M.A. & Ph.D. in Computer Science

2017 - 2023

Korea University, Seoul                     

B.E. in Electrical Engineering with Great Honor

2016

Stanford University, CA

Visiting Student, Electrical Engineering

2016

Professional experience

Rutgers University, Assistant Professor (Sep. 2024 - Present), Department of Computer Science & WINLAB, New Brunswick, NJ

Yale University, Postdoctoral Associate (Nov. 2023 - Aug. 2024), Efficient Computing Laboratory, New Haven, CT

Princeton University, PhD Student Researcher (Aug. 2017 - Oct. 2023), PAWS Laboratory, Princeton, NJ

Meta, PhD Software Engineer Intern (Summer. 2022), Systems and Infrastructure, Menlo Park, CA

InterDigital Communications, PhD Research Intern (Summer. 2021), R&I Department, Conshohocken, PA

National Aeronautics and Space Administration (NASA) – Ames Research Center (ARC), Moffett Field, CA

publications

(+: co-primary author)

Abhishek Kumar Singh, Ari Kapelyan, Minsung Kim, Davide Venturelli, Peter L. McMahon, and Kyle Jamieson, “Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach" 

In IEEE Transactions on Wireless Communications (TWC), September 2024 (early access), 16 pages, IF: 8.9.

Minsung Kim, Abhishek Kumar Singh, Davide Venturelli, John Kaewell, and Kyle Jamieson, “X-ResQ: Reverse Annealing for Quantum MIMO Detection with Flexible Parallelism" 22 pages.

Minsung Kim, Annalise Stockley, Keith Briggs, and Kyle Jamieson, “Physics-Inspired Discrete-Phase Optimization for 3D Beamforming with PIN-Diode Extra-Large Antenna Arrays" 11 pages.

Minsung Kim, “Quantum and Quantum-Inspired Computation for MIMO Communications in Wireless Networks" 

Princeton Doctoral Dissertation, Department of Computer Science, Princeton University, NJ, USA, Nov. 2023.

Minsung Kim, and Kyle Jamieson, "Finer-Grained Decomposition for Parallel Quantum MIMO Processing" 

In IEEE ICASSP 2023, 5 pages, Oral.

Minsung Kim, Davide Venturelli, John Kaewell, and Kyle Jamieson, "Warm-Started Quantum Sphere Decoding via Reverse Annealing for Massive IoT Connectivity" 

In ACM MobiCom 2022, 14 pages, acceptance rate: 17.8% (56/314).

Minsung Kim+, Srikar Kasi+, Aaron P. Lott, Davide Venturelli, John Kaewell, and Kyle Jamieson, “Heuristic Quantum Optimization for 6G Wireless Communications" 

In IEEE Network, 35(4) July/August 2021, 8 pages, IF: 10.693, (1 of 3 Invited Papers in 2021). 

Minsung Kim, Salvatore Mandra, Davide Venturelli, and Kyle Jamieson, “Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond" 

In ACM MobiCom 2021, 14 pages, acceptance rate: 16.8% (19/113, summer deadline). 

Minsung Kim, Davide Venturelli, and Kyle Jamieson, “Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems" 

In ACM SIGCOMM HotNets 2020, 7 pages, acceptance rate: 24.8% (30/121)

Minsung Kim, Davide Venturelli, and Kyle Jamieson, “Leveraging Quantum Annealing for Large MIMO Processing in Centralized Radio Access Networks" 

In ACM SIGCOMM 2019, 15 pages, acceptance rate: 14.5% (32/221). 

honors and awards

Earlier Honors and Awards

selected talks

service

Technical Program Committee

Reviewer

other experience

Intelligence Agent & Translator (Eng), Foreign Affairs Division, National Police

2012 - 2014