Wang Kuo Tong Memorial Fellowship Recipients

Jiahao Han’s academic interests involve renewable energy and battery control. He has used MATLAB/Simulink and artificial intelligence tools for battery modeling. His research aims to improve battery safety and optimize the use of energy storage, and he is currently writing a publication related to this research.

Jiahao received his bachelor’s degree in Energy and Power Engineering from the University of Science and Technology, where he was awarded the honor of Distinguished Graduate. During his future graduate studies at the University of Michigan, he plans to conduct in-depth research and contribute to society.

Xinfei Shen’s recent research focuses on the design and development of a murine neonate auto-feeder, demonstrating proficiency in COMSOL, SolidWorks, and other relevant tools. Her work involves developing a neonate pup interface and designing a device capable of connecting to the neonate pup’s oral cavity, facilitating research on necrotizing enterocolitis. Previously, she participated in a study on the structure of key protein-nucleic acid complexes related to ALS/FTD and published a paper as the second author in Molecules.

Xinfei received her bachelor’s degree in Bioengineering from East China University of Science and Technology. In 2023, she attended the University of California, Riverside as an extension student and earned a certificate.

Ruidan Xu received a bachelor’s degree in Mechatronics and Robotic Systems from Xi’an Jiaotong-Liverpool University in China in 2024. His research is focused on robot recognition control systems.

Ruidan has built a voice recognition emergency stop system for a computer vision workstation using GMM-HMM and LSTM algorithms. The visual perception mechanism is designed to capture the spatial information of workpieces by utilizing the RealSense depth camera, with the acquired data being processed via the SSD algorithm. Concurrently, the voice recognition system combines the LSTM algorithm with the HMM algorithm to facilitate the effective management of emergency stop protocols and routine operational functionalities within the robotic workstation.

Xiaohan (Amanda) Zhang completed her bachelor’s degree in Project Management from Central South University (CSU) in China. She holds a deep interest in advanced mathematics, statistics, and operations research, which have been integral to her research and project experiences.

During her undergraduate studies, Xiaohan led a project on cost risk management for international engineering projects, developing a comprehensive cost risk indicator system. She also worked on research projects focusing on data assimilation using LoRA networks and analyzing the fatigue performance of track-bridge structures. She has gained practical experience through internships in consulting, information technology, and foreign exchange industries.

Linzhen Zhu‘s research interests specialize in sensor fusion and machine learning applications. He is currently advancing his research on sensor fusion techniques for robotics, with a particular emphasis on applications in localization and mapping. He has made several contributions to the field, including publishing a first-authored paper in IEEE Signal Processing Letters titled, “FEGAN: A Feature-Oriented Enhanced GAN for Enhancing Thermal Image Super-Resolution.” His research portfolio includes notable works such as a novel sensor fusion-based wearable for localization and mapping, published in Remote Sensing.

Linzhen graduated with honors with a bachelor’s degree in Electrical and Electronic Engineering from the University of Nottingham in Ningbo, China. His exceptional academic achievements earned him the title of Outstanding Graduate of Zhejiang Province.

Ziming Luo’s academic interests lie in computer vision and machine learning. He demonstrated his research abilities by publishing a first-authored paper in the prestigious SCI journal Applied Intelligence, where he proposed an innovative semi-supervised learning algorithm. Currently, he is working on developing new techniques for human-object interaction recognition to handle simultaneous interactions of multiple people and objects in videos.

Ziming was awarded a bachelor’s degree with honors in Information and Computing Sciences, with a minor in Computer Science and Technology, from Shenzhen University in China. He was also recognized as an Outstanding Graduate for his all-around excellence. He is now pursuing a master’s degree in Electrical and Computer Engineering, laying the groundwork for a PhD and career in research. Through graduate studies, Ziming aims to further his expertise and explore the fascinating realms of computer vision and machine learning.

Jiachen Wang’s academic interests lie in developing intelligent autonomous agents. He worked on several research projects: one concerns a new architecture of neural networks robust to adversarial attacks by simulating the human brain’s visual signal processing pipeline; another is a self-supervised reinforcement learning algorithm that enables agents to finish complex control tasks with only image-based observation. Currently, he’s working on model-based RL algorithms tailored for partially-observable cooperative multi-agent games.

Jiachen received his bachelor’s degree in Computer Science and Technology from ShanghaiTech University in 2022. He participated in research internships at Shanghai Center for Brain-Science and Brain-Inspired Technology and Shanghai Qizhi Institute (affiliated with IIIS, Tsinghua University). He will be pursuing a master’s degree in Electrical and Computer Engineering.

Saiyu Zhang’s recent research involves signal controls in transportation. He and his lab colleagues are preparing to publish a paper on their research, “Determining Yellow Change and Clearance Intervals for Left-Turning Phases: An Evaluation of the Current Guidelines with Connected Vehicle Data.”

Saiyu earned a Bachelor’s degree in Highway and Bridge Engineering from Southeast University in Nanjing, Jiangsu, China in 2021. He is pursuing a Master of Science in Engineering with a concentration in transportation at the College of Engineering.

Besides his academic focus, Saiyu is also an active drama director. In 2022, he directed a production of And Then There Were None with Immersive Live, the first Chinese immersive theatre in Ann Arbor.

Zhicheng Ouyang received a bachelor’s degree in Energy and Power Engineering from Xi’an Jiaotong University in China. He is pursuing a master’s degree in mechanical engineering and his research focus is nonlinear dynamics systems. Examples include the neural mass model and spatiotemporal pattern of neural networks.

Zhicheng enjoys reading in his spare time. In the future, he hopes to become a teacher.