刘圣鼎

刘圣鼎 SHENGDING LIU

Ph.D. in the Department of Computer Science and Engineering, College of Engineering

Michigan State University

Biography

I am a first-year Ph.D student at Michigan State University under the supervision of Prof. Qiben Yan. I received my B.Eng. degree with honors in Computer Science and Engineering from the prestigious Turing Class from the Southern University of Science and Technology (SUSTech) in 2025, where I joined AIMs Lab and conducted research under the guidance of Prof. Jin Zhang and Prof. Renjie Zhao.

My research interests lie in smart sensing, mobile computing and IOT security with a focus on mmWave radar and Ultra-Wideband (UWB), and with prospective directions extending toward Physical AI.

The journey has only just begun, and I look forward to an interesting and fulfilling Ph.D. career ahead.

Interests
  • mmwave Sensing
  • mmwave Security
  • Signal Processing
  • UWB Localization
  • Artificial Intelligence
Education

  • Ph.D. Student, 2025.8-Present

    Michigan State University

  • Visiting Researcher, 2024.2-2024.8

    Johns Hopkins University

  • BEng, 2021.9-2025.6

    Southern University of Science and Technology

Skill Set

Programming Languages & Frameworks
java Java
python Python
matlab Matlab
postgresql PostgreSQL
c C
cpp C++
vue Vue
spring-boot Spring Boot
Technologies
Sensing Sensing and Signal Prosessing
AI-and-ML AI & ML
Embedded-Development Embedded Development
Self-Motivation Self Motivation and Enthusiasm
Hobbies
Hiking
Cats
Photography
Music

Experience

 
 
 
 
 
SUSTech
B.Eng. in Computer Science and Engineering
SUSTech
September 2021 – July 2025 Shenzhen, China
Major in Computer Science and Engineering at SUSTech, guided by Professor Jin Zhang.
 
 
 
 
 
Johns Hopkins University
Visiting Researcher
Johns Hopkins University
March 2024 – August 2024 Baltimore, Maryland
Visiting Researcher under the guidance of Professor Renjie Zhao. in Computer Science Department of the Whiting School of Engineering
 
 
 
 
 
Michigan State University
Ph.D. Student
Michigan State University
August 2025 – Present East Lansing, Michigan
Ph.D. student under the guidance of Professor Qiben Yan. in Computer Science Department of College of Engineering

Selected Projects

*
All Course Research
MIMO SAR Based Soil Wetness Detection
We have reproduced MIMO-SAR using COTS single-chip mmWave radar and achieved a quite good imaging effect. We apply it to soil wetness detection and achieve a 100% binary classification.
Code Video
MIMO SAR Based Soil Wetness Detection
Make DWM 1002 Module Be a Tag with Multiple Antennas (SOLO)
Modified the commercial off-the-shelf device DWM 1002 Module to function as a tag with multiple antennas.
Code
Make DWM 1002 Module Be a Tag with Multiple Antennas (SOLO)
Single Anchor Ultra-Wideband Multipath Triangulation Localization (SOLO)
A UWB multipath triangulate localization algorithm is proposed and achieved , including the generation of UWB signal and the channel model, the extract of CIR, the obtainment of AOA, AOD, rTOF and the localization algorithm. The simulation is initially verified successfully.
Code
Single Anchor Ultra-Wideband Multipath Triangulation Localization (SOLO)
HTTP File Manager
Achieve a http file manager supporting GUI, breakpoint transmission and encrypted transmission as well as uploading, downloading and deleting files.
Code
HTTP File Manager
Radar-Immune Enabling Radar-to-Radar Parallel Interference Cancellation using Phase Modulation
In this paper, we present Radar-Immune, a novel parallel interference cancellation system. Radar-Immune leverages phase modulation of two chirp sequences, effectively distinguishing the interfering signal from the reflected signal in the Doppler domain. Additionally, we introduce an intersection algorithm to cancel parallel interference. We implement Radar-Immune and conduct performance evaluations for interference cancellation. Experimental results demonstrate an impressive interference cancellation rate of up to 97%.
Radar-Immune Enabling Radar-to-Radar Parallel Interference Cancellation using Phase Modulation
AI-based Bibliographic analysis of library posters
Use the web crawler to capture posters from SUSTech library website, perform text recognition through OCR, and utilize LLM for poster analysis.
Code Video
AI-based Bibliographic analysis of library posters
CPU in Minisys
Implemented a CPU that supports the basic 32 instructions of Minisys. It can parse the incoming COE file and interact with users through the Minisys development board, accepting user input and displaying results on the board.
Code Video
CPU in Minisys
Capacitated Arc Routing Problem Project
Complete the CARP through genetic algorithm with heuristics and Merge-Split Operators.The solver uses a memetic algorithm and hybrid metaheuristic approach to produce high-quality solutions efficiently. The solver achieved optimal solutions in small and medium-sized instances within 180 seconds and produced comparable results for larger instances with up to 255 vertices and 347 routes.
PDF Code
Capacitated Arc Routing Problem Project
Reversed Reversi through Python with Strong AI
Design and achieve the functionality and the inner logic of the Weakest Reversi through real-time evaluation of the chess board and Alpha-Beta Pruning and compete with others in AI(H) course.
Code
Reversed Reversi through Python with Strong AI
Chess Game
Implemented a visually appealing chess game with complete functionality and multiple modes, supporting undo and time tracking components, as well as loading and saving games.
Code
Chess Game

Gallery

1.png
2.png
3.png
4.jpg
5.jpg
6.jpg
7.jpg
8.jpg
9.jpg

Contact