Jiayi Su, PhD

苏嘉懿

Senior Algorithm Engineer at Farasis Energy. PhD in Electrical & Computer Engineering from Marquette University, advised by Dr. Edwin Yaz in the MACE Group.

Computer Vision & DL 3 years in image classification, object detection, video analysis, and multi-object tracking.
State Estimation 8+ years in Kalman filter variants (EKF, SPKF), sensor fusion, distributed estimation, and parameter identification.
Jiayi Su
Erdős Number: 5  —  Paul Erdős → L. Bruce Richmond → John W. Helton Jr → Robert E. Skelton → Edwin E. Yaz → Jiayi Su  (what's this?)
News
Jan 2026 Paper "Online State of Health Estimation Using Approximate Weighted Total Least Squares" — coming soon.
Jun 2025 Paper on PMSM H∞ filter accepted to MECC 2025.
Oct 2024 MECC 2024 paper is now available.
Jul 2024 Paper on Reduced-Order EKF for PMSM accepted to MECC 2024.
Jun 2024 🎓 Defended doctoral dissertation and received PhD degree!
Jun 2024 Multi-Object Tracking paper accepted to CCTA 2024.
May 2024 Reduced-order H∞ filter paper accepted to IECON 2024.
Dec 2022 CCTA 2022 paper is now available.
Nov 2022 AVSS 2022 paper is now available.
Research

My research bridges deep learning–based computer vision (video analysis, multi-object tracking) and distributed estimation theory (SOC/SOH estimation, Kalman filter variants, multi-target tracking in sensor networks).

Reduced-Order Filter
Novel Reduced-Order Non-Linear Filter with Sensor Failures
Jiayi Su
Ongoing project
A novel reduced-order non-linear filter for intermittent sensor measurement, developed for non-linear system state estimation.

IMU Estimation
Angle Estimation Using 6-DoF IMU via Robust Filter
Jiayi Su
Ongoing project
A robust sensor fusion technique for roll and pitch angle estimation using a 6-DoF inertial measurement unit.

Real-Time Face Mask Detection
Jiayi Su
Project
Applying YOLOX to detect face masks in real time from live video streams.
Publications
MECC 2025
Permanent Magnet Synchronous Motor Speed and Position Estimation Using Nonlinear Reduced-Order H∞ Filter with Dynamic Uncertainties
IFAC-PapersOnline / MECC, 2025
Abstract

A novel nonlinear reduced-order H∞ filter is introduced to estimate the speed and position of a two-phase PMSM with biased winding resistance, addressing modeling inaccuracies, temperature variations, and aging effects. Simulation results show robust estimation compared to both full- and reduced-order EKFs under model uncertainty.


MECC 2024
IFAC-PapersOnline / MECC, 2024
Abstract

A novel Reduced-order Extended Kalman Filter (ROEKF) for PMSM speed and position estimation that achieves equivalent accuracy to the full-order EKF while significantly reducing computation cost.


Conference on Control Technology and Applications (CCTA), 2024
Abstract

Two efficient techniques for multi-object tracking: a realistic motion model improving tracking with no extra cost, and a reduced-order Kalman filter cutting computation while maintaining tracking accuracy. Competitive results on MOT benchmarks.


IECON 2024
Reduced-order H∞ Filter for Linear Systems
IEEE IECON 2024
Abstract

A discrete-time reduced-order H∞ filter offering a compelling alternative to the full-order version with significantly reduced computation cost and similar estimation accuracy under biased process noise.


AVSS 2022
IEEE AVSS 2022
Abstract

3D CNN applied to violence detection in surveillance footage. A comprehensive hyperparameter study shows competitive results on three benchmark datasets, outperforming techniques designed specifically for violence detection.


CCTA 2022
Conference on Control Technology and Applications (CCTA), 2022
Abstract

MMAE technique for simultaneous SOC and total capacity estimation of LiFePO4 cells. Conditional probabilities over capacity values drive the state estimate, outperforming Joint and Dual estimation baselines.


ECC 2021
European Control Conference (ECC), 2021
Abstract

MMAE + EKF combination for SOC estimation of LiFePO4 cells. The combined technique improves accuracy and avoids the individual drawbacks of MMAE or EKF alone.


ACC 2021
American Control Conference (ACC), 2021
Abstract

Converts nonlinear SOC estimation into a parallel linear problem using MMAE with a bank of Kalman filters. Outperforms EKF alone on LiFePO4 simulation.


DSCC 2020
Jiayi Su, Yuqin Weng, Susan Schneider, Edwin Yaz
Dynamic Systems and Control Conference (DSCC), 2020
Abstract

Bank of Kalman filters detects sensor and actuator intrusions in CPS without knowledge of the intrusion type. Validated on a DC motor speed control simulation.


CDSR 2020
Jiayi Su, Yuqin Weng, Susan Schneider, Edwin Yaz
International Conference of Control, Dynamic Systems, and Robotics (CDSR), 2020
Abstract

Fading memory technique applied to the MME algorithm enables significantly faster detection of CPS sensor and actuator intrusion signals. Verified on a DC motor simulation.

Visitor Map