Amir M. Moghadamfarid
About
I am a computer science graduate student in the Department of Computer Science at Michigan Technological University, where I work with Dr. Bo Chen on secure and trustworthy decentralized systems. I joined Michigan Tech in Spring 2025 and expect to complete my M.S. in Computer Science in Fall 2026.
Before joining Michigan Tech, I earned my B.S. in Computer Engineering from Islamic Azad University and worked with Dr. Mostafa Haghi Kashani on fog computing and IoT-enabled smart cities. Outside research, I enjoy biking and reading.
I publish academic work under my full name, Amirmehdi Moghadamfarid.
Research Agenda
Trustworthy Decentralized AI
I study how decentralized intelligent systems can remain secure, verifiable, resilient, and efficient when participants and infrastructure cannot be fully trusted.
Primary Research Direction: Trustworthy Decentralized AI
I am extending this systems foundation toward decentralized and local inference, verifiable provenance, secure agents, collaborative intelligence, and user-controlled AI.
Systems Foundation: Verifiable Decentralized Infrastructure
My current work focuses on decentralized storage and infrastructure that preserve integrity, availability, recoverability, and verifiability under partial trust.
Research Trajectory
Secure decentralized infrastructure
→ Trustworthy decentralized inference and agents
→ Secure, private, and verifiable decentralized intelligence
News
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Education Expected M.S. in Computer Science, Michigan Technological University
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Post Published: Designing Puzzle-Based LLM Security Challenges for K-12 Students
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Service Reviewer, IEEE International Conference on Communications (ICC), 2026
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Service Reviewer, IEEE Military Communications Conference (MILCOM), 2026
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Mentoring Mentored Noah Strekow through the McNair Summer Research Program
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Mentoring Mentored Jada Hamilton through the MICUP Mentor Program
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Post Published: Helping Organize the 2025 MTU Vehicle Hackathon
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Post Published: Teaching Flash Memory Security at the 2025 MTU WICS Summer Youth Program
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Service Reviewer, ICCC 2025
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Education Joined Michigan Technological University
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Publication Published Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges in npj Parkinson's Disease 11 (1), 187. Authors: S Shokrpour, AM MoghadamFarid, S Bazzaz Abkenar, M Haghi Kashani, et al.
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Publication Published Fog computing approaches in IoT-enabled smart cities in Journal of Network and Computer Applications 211, 103557. Authors: M Songhorabadi, M Rahimi, AM MoghadamFarid, MH Kashani
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Publication Preprint: Fog computing approaches in smart cities: a state-of-the-art review — arXiv preprint arXiv:2011.14732. Authors: M Songhorabadi, M Rahimi, AMM Farid, MH Kashani