Shaoshuai Mou

Shaoshuai Mou

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


Ph.D., Yale University, 2014


701 W. Stadium Ave.
West Lafayette, IN 47907-2045

Office: ARMS 3329
Office Phone: 765.494.2546
Office Fax: (765) 494-0307


Research interests in our group include Multi-Agent Networks, Autonomy, Cyber-Security, Optimizations, Control, and Applications of AI. 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 expereimental implementaitons for improving autonomy and intelligence of the overall networked system. More research details can be found at AIMS Lab

We have two open Ph.D. positions. One for AI-assisted Multi-Agent Networks; the other one for AI-assisted Cybersecurity. Graduate students with a strong background in network, control and optimizations and interest in applications of AI are welcome to apply

Awards and Major Appointments

Co-Director for Center for Innovation in Control, Optimization and Networks (ICON) (since 2020)
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)
Steering Committee Member for Initiative of Autonomous and Connected Systems (ACS) (since 2018)
Outstanding Faculty Mentor Award (2019)
Purdue Seed for Success Award (2019, 2018, 2017)


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.