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Employee Drop In: Benefit Enrollment Help Session: Do you need assistance entering your Open Enrollment benefit elections into Workday? Do you have a question about one of the benefit plans offered in 2026? Drop in to see a member of the Benefits Team during this session to get the support and help you need to make your benefit choices before November 5th. Please note: this is an informal drop-in session and not a formal presentation.

REGISTER WHO'S COMING?Join your host Arly Dungca '08, president of the WPI Alumni Association, for an alumni gathering in Cambridge, MA! Get together with old and new friends for snacks, drinks, and WPI memories.Wednesday, October 29, 20256:00 to 8:00 PMGeppetto100 N. First StreetCambridge, MA 02141This event is sponsored by the WPI Alumni Association. Appetizers and bar service will be available. Two-hour parking is available in front of 222 Jacobs Street every day. A self-park garage located 100 yards north of Geppetto at 211 Water Street is available after 4:00 PM. ($10 with validation from the restaurant host stand; please note there is a four-hour max.)The use of public transportation is encouraged. The nearest MBTA station is Lechmere Station on the MBTA's Green Line.Space is limited - advanced registration is strongly encouraged

Live Stats

Employee Drop In: Benefit Enrollment Help Session: Do you need assistance entering your Open Enrollment benefit elections into Workday? Do you have a question about one of the benefit plans offered in 2026? Drop in to see a member of the Benefits Team during this session to get the support and help you need to make your benefit choices before November 5th. Please note: this is an informal drop-in session and not a formal presentation.

Neural Certificates for Safe Robotic System Planning and Control Abstract: Achieving safety, scalability, and high performance in complex systems, such as multi-agent systems (MAS) control, is a central challenge in many real-world robotic deployments due to its computational complexity as a large-scale constrained optimal control problem. To address this, we introduce a novel graph control barrier function (GCBF) as a core tool for large-scale distributed safe control, which guarantees safety for arbitrarily large MAS with only local observations. For MAS with known dynamic models, we present a self-supervised learning framework that can jointly learn GCBF and distributed control policies that consider actuation limits. For MAS with unknown dynamics, we discuss how to blend GCBF in multi-agent reinforcement learning (MARL) to achieve high-performance and safe distributed policies. Bio: Chuchu Fan is an Associate Professor (pre-tenure) in the Department of Aeronautics and Astronautics (AeroAstro) and Laboratory for Information and Decision Systems (LIDS) at MIT. Before that, she was a postdoc researcher at Caltech and got her Ph.D. at the University of Illinois at Urbana-Champaign. She earned her bachelor’s degree from Tsinghua University. Her research group, the Realm at MIT, works on developing computational tools that integrate rigorous mathematics into machine learning and AI for the design, analysis, and verification of safe, large-scale, and complex systems. Chuchu is the recipient of an NSF CAREER Award, an AFOSR Young Investigator Program (YIP) Award, an ONR YIP Award, and the 2020 ACM Doctoral Dissertation Award.