Yan Jin, Ph.D.
Principal Investigator · Professor of Aerospace & Mechanical Engineering
yjin@usc.eduPeople
People
USC IMPACT LAB brings together researchers working on intelligent machines, AI agents, autonomous systems, and future engineering missions.
Team
Lab members
Ardalan Aryashad
Ph.D. student & Graduate Research Assistant
aryashad@usc.edu
Jian Ni
Ph.D. student & Graduate Research Assistant
Project lead:
SmartSOM
jianni@usc.edu
Sara Sourani
Ph.D. student & Graduate Research Assistant
Project lead:
AIDIO
souraniy@usc.edu
Rufus Marcuss
MSAE student & Research Participant
souraniy@usc.edu
Shih-Chun (Morris) Deng
MSME student & Research Participant
Project lead:
AIPM
dengshih@usc.edu
Dezhao (Derick) Yu
MSME student & Research Participant
dezhaoyu@usc.edu
Charles Wu
High School Research Volunteer
charleswu4159@gmail.comIndustry
Collaborators
MTI
Monohakobi Technology Institute (MTI Co., Ltd.)
BEMAC
BEMAC Corporation
ClassNK
ClassNK (Nippon Kaiji Kyokai General Incorporated Foundation)
OCEANS Collaboratory
OCEANS Collaboratory at the University of Osaka
MODE Lab at the University of Tokyo
Maritime & Digital Engineering Laboratory at the University of Tokyo
Alumni
Former PhD members
Xinrui (Serena) Wang
ML-based work process knowledge capture and transfer.
Data & Applied Scientist at Microsoft Corp.
Chuanhui (Chuck) Hu
Large-scale path planning and maneuvering with local information.
Machine Learning Scientist at PingDuoDuo
Yunjian (Jojo) Qiu
Document understanding based design support.
Assistant Professor at San Jose State University
Bingling Huang
Reward shaping and social learning in self-organizing systems.
Assistant Professor at California State University, Fullerton
Zijian Zhang
Computer-aided visual analogy support for engineering design.
Senior Research Scientist at Meta Corporation
Hao Ji
Designing self-organizing systems with multiagent deep reinforcement learning.
Data Scientist at USC Information Technology & Systems Division
Hristina Milojevic
Social cognitive modeling of design thinking styles.
Product Manager at Genentech
Xiongqing Liu
Transfer reinforcement learning for autonomous collision avoidance.
Senior Machine Learning Engineer at Tencent Corporation
James Humann
Behavioral modeling and synthesis of self-organizing systems.
Mechanical Engineer at U.S. Army DEVCOM Army Research Laboratory
Newsha Khani
Dynamic social structuring in cellular self-organizing systems.
Machine Learning Engineer at Google
Jonathan Sauder
Collaborative stimulation in team design thinking.
Principal Spacecraft Engineer at Amazon
Winston Chiang
Meta-interaction model for cellular self-organizing systems.
Product Director of Machine Learning Platform at JPMorgan Chase
Chang Chen
Behavior regulation for cellular self-organizing systems.
Product Lead and Senior Software Engineer at Bloomberg
Zhaofeng Huang
Reliability design of complex systems from conceptual design.
Technical Fellow, Reliability & Statistics at Aerojet Rocketdyne
Majid Yahyaei
Modeling enterprise operations for productivity improvement.
Control Software Engineer at Miyachi Unitek
George Zouein
DNA-inspired cellular approach to complex adaptive systems.
Senior Engineer & Group Leader at Honda R&D Americas
Mathieu Geslin
Argumentation-based negotiation for collaborative design.
Department Manager & XR Lead at American Honda Motor Company, Inc.
Wei Li
Hierarchical evolutionary approach to conceptual design.
Principal Software Engineer at Operative
Pawat Chusilp
Cognitive modeling of iterations in conceptual design.
Senior Research Scientist at Defense Technology Institute, Thailand
Li Zhao
Work-structure approach to collaborative engineering design.
Senior Research Scientist at Zhejiang Advanced Manufacturing Institute of HKUST
Kai-Lu Wang
Analytical approach to functional design.
R&D Director, Corporate Fellow at UL Solutions
Oren Benami
Cognitive approach to creative conceptual design.
CEO & Technical Director at Space Force Analytics LLC
Mohammad R. Danesh
Framework for value-based conceptual engineering design.
VP of Engineering at Vistify Inc.
Alumni
Former MS/UG members
Information will be added soon.