Anindya Maiti

Dr. Anindya Maiti is an Assistant Professor of Computer Science and Data Science at the University of Oklahoma (OU), directing the SecretLab. His research focuses on privacy and security in cyber-physical systems, network security, and applied AI/ML. He leads the NSF-funded ScooterLab, a micromobility testbed enhancing pedestrian safety and urban planning. His work includes projects like Background Buster (video call privacy) and Acoustics to the Rescue (physical key inference).

Education:

• Ph.D. in Electrical Engineering and Computer Science, Wichita State University
• M.S. in Electrical Engineering, Wichita State University
• B.Tech. in Computer Science, Vellore Institute of Technology

Research Interests: Prioritizes privacy-preserving technologies, secure IoT systems, and AI-driven cybersecurity solutions. His team develops tools to counteract side-channel attacks and improve urban mobility security.

Recent Trends in Publications: Focus on AI ethics (prompt engineering), decentralized systems (blockchain node analysis), and pervasive computing (wearable-based inference attacks). Highlights include analyzing package hallucinations in LLMs and censorship-resistant DNS protocols.

• Outstanding Faculty Award (OU), 2024
• Best Paper Award (IEEE WristSense 2018)

Grants & Labs: Principal Investigator for the NSF CCRI ScooterLab ($100k) and collaborator on Ethereum node datasets. Leads SecretLab, which explores AI/ML applications in secure systems. Active in outreach through Hacklahoma and IEEE S&P program committees.

Collaboration Platforms: Maintains extensive presence across GitHub, Docker Hub, and academic networks. Co-founded GeoSNO (distributed cloud storage) and co-created CryptoMiner (blockchain educational tool).