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 at 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 overarching research interests lie in smart sensing, mobile computing, and IoT security, with a strong focus on enabling intelligent perception and secure interaction between the physical and digital worlds. My previous research has encompassed mmWave sensing and security, UWB-based localization, and security in autonomous driving. I am particularly interested in exploring how Physical AI can bridge perception, reasoning, and action to create autonomous, trustworthy, and context-aware intelligent systems.

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

Interests

Smart Sensing
Mobile Computing
IoT Security
Physical AI

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

Python

Matlab

PostgreSQL

C++

Vue

Spring Boot

Technologies

Sensing and Signal Prosessing

AI & ML

Embedded Development

Self Motivation and Enthusiasm

Hobbies

Hiking

Cats

Photography

Music

Experience

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.

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

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

Recent Publications

Kaiyi Huang, Shengding Liu, Yanlong Qiu, Yanjiao Chen, Jin Zhang (2025). AttackDeceiver: Anti-Spoofing Automotive Radar System using a Phase-Shifted Interleaving Waveform. IEEE TDSC.

PDF Cite Slides DOI

Selected Projects

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.

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.

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.

HTTP File Manager

Achieve a http file manager supporting GUI, breakpoint transmission and encrypted transmission as well as uploading, downloading and deleting files.

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%.

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.

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.

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.

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.

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.

Gallery

Contact

liushe10@msu.edu
+86 15936165501
426 Auditorium Road, East Lansing 48824
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