Biography
Jialin Zheng is a Research Scientist at Princeton University and was previously a Postdoctoral Research Associate at Purdue University. He received his Ph.D. in Electrical Engineering from Tsinghua University.
His research focuses on AI-driven design and control of intelligent circuits and complex networked systems, spanning applications from integrated microwave communication to megawatt-scale power conversion and transfer. He develops advanced digital methodologies to enable scalable, high-performance circuit and integrated infrastructures across both information and power domains.
- Edge Computing
- Machine Learning
- Power Electronics
- Energy Systems
PhD in Electrical Engineering, 2024
Tsinghua University
BEng in Electrical Engineering, 2019
Beijing Jiaotong University
News
2026
- Mar. 23, 2026，Invited talk at Cornell AI for Sustainability (AI4S) Seminar Series: “Empowering the Grid Edge: Real-Time Embedded AI on Power Electronics Converters”.
- 18-Feb-2026，Our paper “Discovering Unknown Inverter Governing Equations via Physics-Informed Sparse Machine Learning” is subbmitted to arxiv.
2025
- 04-Jun-2024，Our paper “FPGA-based Real-Time X-in-the-loop Simulation Testbench for Dynamic Wireless Power Transfer System with Stochastic and Nonlinear Inductance” is accepted by IEEE Transactions on Industrial Electronics.
2024
- 04-Jun-2024，Our paper “FPGA-based Real-Time X-in-the-loop Simulation Testbench for Dynamic Wireless Power Transfer System with Stochastic and Nonlinear Inductance” is accepted by IEEE Transactions on Transportation Electrification.
Research Goal
My research focuses on AI-enabled design and control of intelligent circuits and complex networked systems, bridging integrated microwave communication and large-scale power conversion through advanced digital methodologies.
Projects
Check out my projects below.
Hybrid Dynamical System Modeling and Inference via Machine Learning
A unified ML framework—Event-Automata + Physics-Embedded Neural ODEs + Neural Substitute Solver—for accurate, real-time inference of hybrid (continuous–discrete) dynamics with reliable Sim-to-Real transfer to edge hardware.
Design and Control of High-Frequency DC–DC Converters
From multi-DOF modulation and universal phase-shift control to device-aware electro-thermal modeling and CDT-MPC, this project delivers efficient, soft-switching, and control-ready designs for DAB/MMAB at 50–400 kHz+.
Edge Digital Twins for Power Electronics
Sim-to-Real Edge Digital Twins that fuse event-aware physics with neural operators for sub-microsecond inference, online parameter self-calibration, and control integration on FPGA/MPSoC.
Event-Driven Efficient Simulation of Hybrid Dynamical Systems
Event-driven HIL simulation that replaces tiny fixed steps with switching-aware sampling and variable-order solvers (SCED/DHT, VTR-CHIL, DAT/SEO), enabling high-frequency, large-scale power electronics on commodity CPUs/MPSoCs.
Large-Scale Cyber-Physical System Co-Simulation
Event-axis, synchronization-aware co-simulation that scales CHIL/PCCO from kW MMCs to MW-level converters by key-frame prediction, event-driven data rematching, and hybrid CPU–FPGA execution—boosting fidelity and easing real-time constraints.
SNA: A Network-Aware Framework for Decentralized Inverter-Based Voltage Control
Network-aware multi-agent RL that scales decentralized secondary voltage control by truncating critics to κ-hop neighborhoods with provable approximation guarantees; validated up to 114 DGs.
Sub-Microsecond Real-Time FPGA Numerical Solver
Deterministic sub-µs FPGA solvers (12.5–75 ns) combining semi-implicit leapfrog, topology-aware partitioning, and IMEX techniques for stability, low memory, and controller-accurate HIL.
Research Tags
Contact
Feel free to reach out for collaboration, inquiries, or feedback. Leave your name, email, and a short message—I usually reply within 2–3 business days. Your information is used solely for communication.
- jialinzheng@ieee.org
- +1 765-767-0550
- B 216, Engineering Quadrangle, Princeton, NJ 08540
- B 217/219, Engineering Quadrangle, Princeton, NJ 08540
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Monday 10:00 to 13:00
Wednesday 09:00 to 10:00 - Book an appointment