BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:IEM Distinguished Lecturers Seminar: An AI Foundation Model Approa
 ch to Signal Processing and Control in Cyber-Physical Systems
DTSTART:20250401T131500
DTEND:20250401T140000
DTSTAMP:20260406T022322Z
UID:604302b0e7584f32f61b4ec3445047f93f3c0d93a99e369e2128bb95
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Lang Tong\, School of Electrical and Computer Engineerin
 g\, Cornell University\, USA\n***Welcome Coffee & Sweets at 13:00***\n\nAb
 stract\nAI Foundation models are learning\, reasoning\, and decision-makin
 g architectures trained on large datasets and adaptable across diverse app
 lications.  Most successful AI foundation models are large language model
 s that are pre-trained on text\, image\, and video data to capture linguis
 tic and contextual information. Applying such models to cyber-physical sys
 tems—governed by physical rather than linguistic laws—presents unique 
 challenges\, especially in causal signal processing\, control\, and decisi
 on-making tasks. This talk explores an alternative physics-based AI founda
 tion model inspired by the Wiener-Kallianpur innovation representation of 
 stationary processes. Pre-trained on time series generated by physical sys
 tems\, the proposed foundation model extracts innovations for adaptions ac
 ross multiple tasks\, including probabilistic forecasting\, anomaly detect
 ion\, and system protection.\n\nShort Bio\nLang Tong is the Irwin and Joan
  Jacob Professor of Engineering at Cornell University and the Site Directo
 r of the Power System Engineering Research Center. His current research fo
 cuses on power system optimizations\, electricity markets\, and AI/machine
  learning technologies for power system operations. He received a B.E. in 
 Automation from Tsinghua University\, a Ph.D. from the University of Notre
  Dame\, and was a Postdoctoral Research Associate at Stanford University.
   A Fellow of IEEE\, he was the 2018 Fulbright Distinguished Chair in Alt
 ernative Energy.\n 
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/j/63124898719
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR