Prabuddha Chakraborty

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Dr. Prabuddha Chakraborty is the Waldo “Mac” Libbey ’44 Assistant Professor of Electrical and Computer Engineering at the University of Maine, where he directs the Secure and Intelligent Edge Research Lab (SIEGE). His research spans hardware security, the security of AI and agentic systems, and trustworthy edge computing. His group is supported by NSF, DOD, and DOE. He received his PhD from the University of Florida, where his dissertation received the IEEE TTTC E. J. McCluskey Best Doctoral Thesis Award. He previously worked on the Security Software Team at Texas Instruments and the FPGA acceleration R&D team at Xilinx.

Research Interests

Hardware Security
- Trojans, obfuscation, and logic locking
- Side-channel analysis and countermeasures
- RTL and firmware vulnerability detection
Security of AI and Agentic Systems
- LLM and multi-agent robustness
- Information flow control and provenance
- Safety and security benchmarking
AI for Secure Design
- Agentic frameworks for hardware design
- Machine learning for vulnerability detection and design-for-security
Secure Edge Intelligence
- Attacks on embedded and edge AI
- Efficient and secure IoT system design

Awards & Honors

Maine College of Engineering and Computing (MCEC) -- 2026 Early Career Research Award: Presented at the 46th Edward T. Bryand Recognition Banquet for outstanding research contributions.
ASCC, University of Maine, Director's Award (Outstanding Faculty): For outstanding research performance in collaboration with ASCC.
TTTC’s E. J. McCluskey Best Doctoral Thesis 2022 Award (1st place): For the most impactful doctoral student work in the field of electronic test technology.

https://www.ieee-tttc.org/tttcs-e-j-mccluskey-doctoral-thesis-award/

Innovation of the Year Award, UF Innovate | Tech Licensing, University of Florida, 2022: For the SAVIOR framework which enables remote charging of electric vehicle batteries, replenishing them on-the-go with the help of drones & mobile charging stations.
DAC Young Fellow, 2021: I was accepted in the DAC Young Fellows Program 2021.
Top Picks (Winner) in Hardware and Embedded Security 2021, IEEE HSTTC: Our work "SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation", was a winner of the Top Picks in Hardware and Embedded Security 2021. Awarded by the IEEE Hardware Security and Trust Technical Committee (IEEE HSTTC).
IEEE Spectrum Website Article: Featured our work related to on-the-go electric vehicle charging for near-perpetual motion and environmental sustainability.

https://spectrum.ieee.org/will-electric-cars-on-the-highway-emulate-airtoair-refueling

Certificate of Outstanding Achievement: Awarded by the Herbert Wertheim College of Engineering, University of Florida in 2021. Awarded for outstanding academic and research excellence.
Best Hardware Demo (1st): 2019 IEEE International Symp. on Hardware Oriented Security and Trust. Awarded for the presentation of a CAD framework for machine learning based IP trust verification.
Best Poster (1st, Hardware Obfuscation): 2019 FICS Annual Conference on Cybersecurity. Awarded for the presentation of a machine learning guided attack on hardware obfuscation.
Best Technical Demo (1st): 2019 FICS Annual Conference on Cybersecurity. Awarded for the demonstration of a CAD framework for machine learning based IP trust verification.
Best Hardware Demo (2nd): 2019 Warren B. Nelms Annual IoT Conference 2019. Awarded for the demonstration of a smart home with a first-responder drone network for security and safety hazards.

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