M. Hadi Amini
Scholar

M. Hadi Amini

Google Scholar ID: E84r_bUAAAAJ
Associate Professor, Florida International University
Distributed LearningEdge AITrustworthy AICPS Security
Citations & Impact
All-time
Citations
5,672
 
H-index
35
 
i10-index
87
 
Publications
20
 
Co-authors
78
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 2025 IEEE Big Data Security Junior Research Award for contributions to Big Data Security in Cyber-Physical Systems
  • 2025 FIU College of Engineering and Computing Faculty Excellence in Mentorship Award
  • 2024 FIU Top Scholar Award – Research and Creative Activities, Junior Faculty with Significant Grants (Sciences)
  • IEEE Senior Member, 2023
  • 2023 FIU Faculty Excellence in Teaching Award
  • 2022 Rewarding Excellence in Teaching Incentives (RETI) Award, Florida International University
  • 2021 Best Journal Paper Award, Springer Nature Operations Research Forum
  • 2020 Excellence in Teaching Award, FIU School of Computing and Information Sciences
  • 2019 Best Paper Award, Annual Conference on Computational Science & Computational Intelligence (CSCI'19)
  • 2019 Best Reviewer Award, IEEE Transactions on Smart Grid
  • Best Conference Paper Award for work on distributed sensing for federated learning (Ph.D. student first author)
  • Best Journal Paper Award for work on topological data analysis for network resilience (Ph.D. student first author)
Background
  • Currently Associate Professor at the Knight Foundation School of Computing and Information Sciences, Florida International University
  • Founding Director of the Security, Optimization, and Learning for InterDependent networks laboratory (SOLID Lab) at FIU
  • Associate Director of the National Center for Transportation Cybersecurity and Resiliency (TraCR), supported by the U.S. DOT
  • Research interests include distributed computing, federated learning, distributed optimization/learning algorithms, interdependent networks, and cyber-physical-social resilience and security
  • Passionate about interdisciplinary research bridging machine learning/optimization theory and applications to interdependent networks