Trustworthy, Resilient AI and Networks Lab

Welcome to the TRAIN Lab @WPI

Trustworthy and Resilient Aritificial intelligence and Networks (TRAIN) Lab at Worcester Polytechnique Institute (WPI) is a research group dedicated to building trustworthy, resilient, and intelligent systems for next-generation networking and computing systems. We explore foundational and applied challenges at the intersection of artificial intelligence, wireless communication, and cyber-physical systems, with a focus on enabling generalizable, explainable and sustainable AI for 6G and beyond. Our work blends theory, systems, and interdisciplinary insights—from explainable AI, neuroscience-inspired modeling, game theory, Bayesian inference to real-world network deployment challenges. We are always looking for passionate PhD students and collaborators who are excited about pushing the boundaries of AI-native networked systems.

📡 Our research areas include

Semantic Communication

Foundation Models For Networks

Mathematical Foundations Of AI

Integrated Sensing and Communication

📢 Upcoming Talks, Workshops & Milestones

Seminar on "What If Networks Could Understand What They Are Sending? Semantic Communication For Smarter 6G", at Department of Electrical and Computer Engineering, University of Connecticut, CT, USA, on Oct. 17, 2025.

📢 Past Events and Highlights

Poster presentation on, "Emergent Semantic Communication: Principles and ORAN Integration Challenges", at NEWSDR 2025, Worcester Polytechnic Institute, Worcester, MA, https://newsdr.org/workshops/newsdr-2025/.
Spotlight Talk, Postdoc Research Symposium, University of Virginia, Charlottesville, VA, USA, May 21, 2025
Invited Talk, Next-Generation AI for Emergent Semantic Communications, Active Inference Research Institute, Virtual Link: https://www.youtube.com/live/_YRRB5basok, May 22, 2025.
Visiting Coordinated Science Laboratory (CSL), University of Illinois, Urbana Champaign (UIUC), Illinois, Mar. 23 - Apr. 06, 2025.

🤝 Sponsors

Here are the sponsors that suppot research at our lab.

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