Shaoshuai Mou

Shaoshuai Mou

2015 - Associate Professor, Co-Director of Center for ICON

Degrees

Ph.D., Yale University, 2014

Contact

701 W. Stadium Ave.
West Lafayette, IN 47907-2045
Office: ARMS 3329
Office Phone: (765) 494-2546
Office Fax: (765) 494-0307

Interests

Research interests in our group include Multi-Agent Systems, Autonomy, Control, Optimization, Learning, and Robotics. Our lab is Autonomous & Intelligent Multi-agent Systems (AIMS) Lab , which aims to investigate autonomy and intelligence for networked systems consisting of multiple unmanned mobile agents, through combination of theories in control, networks, optimizations and artificial intelligence. We are interested in both theoretical research towards novel control algorithms for coordination among a large-network of mobile agents and experimental implementations for improving autonomy and intelligence of the overall networked system. More research details can be found at AIMS Lab.


Positions for Ph.D. and Postdoc. We are very interested in integration of control and learning, robotics, perception-based multi-agent coordination. Students with solid background in mathematics and control as well as hands-on experience in robotics are encouraged to apply.

Awards and Major Appointments

Co-Director for Center for Innovation in Control, Optimization and Networks (ICON) (since 2019)
Co-Chair for Purdue University Strategic Initiative: Autonomous and Connected Systems Initiative (ACSI) (2020 Spring)
Associate Director for the Center for Intelligent Infrastructure (CII) (since 2019)
Research Leadership Board Member for Center for Education and Research in Information Assurance and Security (CERIAS) (since 2019)
Outstanding Faculty Mentor Award (2019)
Purdue Seed for Success Award (2019, 2018, 2017)

Publications

Please refer to my Google Scholar Webpage

Other Information

Prof. Shaoshuai Mou co-directs the Center for Innovation in Control, Optimization and Networks (ICON) with Prof. Shreyas Sundaram since September 15 in 2020. The Center for ICON carries the mission of integrating classical theories in control, optimization and networks with recent advance in machine learning, AI and data science to address fundamental challenges in autonomous and connected systems. It currently has 55+ faculty members from more than 11 departments across Purdue University.
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