Photo of Hadi Amini

M. Hadi Amini

Assistant Professor
Biography

M. Hadi Amini is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences at FIU. He is the founding director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network). He received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 2019, where he received his M.Sc. degree in 2015. He also holds a doctoral degree in Computer Science and Technology. Since founding solid lab, his research on advanced machine learning algorithms/optimization and their applications has been extensively funded by various federal and state agencies, with a total funding of $3.6M ($1.82M as PI and $1.78M as Co-PI).


His research interests include distributed machine learning/optimization algorithms, federated learning, interdependent networks, and cyber-physical-social resilience and cybersecurity. Application domains include smart cities, transportation networks, healthcare, and energy systems. Hadi is a Senior Member of IEEE, and a life member of IEEE-Eta Kappa Nu (IEEE-HKN), the honor society of IEEE. He served as President of Carnegie Mellon University Energy Science and Innovation Club; as technical program committee of several IEEE and ACM conferences; and as the lead editor for a book series on ‘‘Sustainable Interdependent Networks’’ since 2017. He also serves as Associate Editor of Data Science for Communications (Frontiers in Communications and Networks). He has published more than 150 refereed journal and conference papers, and book chapters. He edited/authored eight books. He is the co-recipient of the best paper award from “2019 IEEE Conference on Computational Science & Computational Intelligence”, 2021 best journal paper award from “Springer Nature Operations Research Forum Journal”, the Excellence in Teaching Award from FIU School of Computing and Information Sciences in 2020, best reviewer award from four IEEE Transactions, the best journal paper award in “Journal of Modern Power Systems and Clean Energy”, and the dean’s honorary award from the President of Sharif University of Technology.

Honors and Awards

— Best Journal Paper Award of “Springer Nature Operations Research Forum Journal”, 2021 (joint award with his PhD student)
— Best Conference Paper Award, “2019 IEEE Conference on Computational Science & Computational Intelligence” (joint award with his PhD student)
— Excellence in Teaching Award from FIU School of Computing and Information Sciences, 2020
— Best Reviewer Award of three IEEE Transactions
— Best Paper Award of “Journal of Modern Power Systems and Clean Energy”, 2016
— NSF Travel Award, National Science Foundation SPOKE Workshop on Smart Grid Edge Analytics Georgia Institute of Technology, 2019
— NSF Travel Award, National Science Foundation Networking Technology and Systems Early-Career Investigators (NeTS-ECI) Workshop, 2019
— Dean’s Honorary Award by ex-President of Sharif University of Technology, 2007

Research and Educational Interests

Distributed/Decentralized Machine Learning and Optimization Algorithms, Privacy-Preserving Machine Learning, Federated Learning, Interdependent Networks, Cyber-physical-social Systems Security and Resilience, Intelligent Transportation Networks, Machine Learning for Healthcare

Background Education

2019 Ph.D., Electrical and Computer Engineering, Carnegie Mellon University
2015 M.Sc., Electrical and Computer Engineering, Carnegie Mellon University
2013 M.Sc., Tarbiat Modares University
2011 B.Sc., Sharif University of Technology

Professional Activities

— Associate Editor, Frontiers in Communications and Networks, Data Science for Communications, 2020- Present
— Editor, Optimization, Learning, and Control for Interdependent Complex Networks, 2020-Present
— Session Co-chair, Combining Physical and Data-Driven Knowledge in Ubiquitous Computing Workshop (CPD2020), UbiComp 2020
— Organizer, Federated Education (FeDucation) Webinar Series, 2023-present
— Lead Editor, Sustainable Interdependent Networks, 2017-present
— Review for several ACM and IEEE journals, including ACM Computing Surveys, IEEE Internet of Things Journal, IEEE Transactions on Automatic Control, IEEE Transactions on Smart Grid; IEEE Transactions on Vehicular Technology; IEEE Transactions on Control of Network Systems

Selected Publications
  1. Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, and M. Hadi Amini, “A Survey on Federated Learning for Resource-Constrained IoT Devices”, IEEE Internet of Things Journal, vol. 9, no. 1, January 2022. [Download Link] [IEEE Link]
  2. Leila Zahedi, Farid Ghareh Mohammadi, and M. Hadi Amini, ‘“OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms”, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Pasadena, CA, December 2021 [Link]
  3. Ahmed Imteaj and  Hadi Amini, “FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots”, 19th IEEE International Conference Machine Learning And Applications, 2020, Miami, USA.
  4. Hadi Amini, Javad Mohammadi, and Soummya Kar, “Distributed Holistic Framework for Smart City Infrastructures: Tale of Interdependent Electrified Transportation Network and Power Grid.” IEEE Access(2019): DOI: 10.1109/ACCESS.2019.2950372. [Link]
  5. Ahmed Imteaj and  Hadi Amini, “Distributed Sensing Using Smart End-user Devices: Pathway to Federated Learning for Autonomous IoT”, 2019 International Conference on Computational Science and Computational Intelligence, 2019, Las Vegas, USA [Link], (Best Paper Award Winner)
  6. Hadi Amini(Editor) “Optimization, Learning, and Control for Interdependent Complex Networks.”, Advances in Intelligent Systems and Computing, Springer Nature,  (2020). [Link]
  7. Hadi Amini, Ahmed Imteaj, and Panos Pardalos, ”Interdependent Networks: A Data Science Perspective”, Patterns Journal (2020), https://doi.org/10.1016/j.patter.2020.100003[Link]
  8. Ahmed Imteaj,  Hadi Amini, and Javad Mohammadi. “Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks.” IEEE PES General Meeting (2020). [Link]
  9. Khandaker Mamun Ahmed, Taban Eslami, Fahad Saeed, and M. Hadi Amini, “DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images.” In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1703-1710. IEEE, 2021. [Link]
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