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Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab) is an interdisciplinary research group, led by Prof. M. Hadi Amini, bridging the gap between machine learning and optimization theory and real-world. Interdependent networks, e.g., cyberphysical systems (CPS) and critical infrastructures, require highly efficient computational algorithms to deal with large-scale learning and decision-making problems. Our goal is to leverage our solid mathematical background to develop novel algorithms tailored for various applications such as CPS security and resilience, privacy-preserving decision-making, and trustworthy artificial intelligence. At solid lab we also aim at solidifying cyberphysical systems and critical infrastructures leveraging computing and information sciences, i.e., we are connecting Computer Science and Engineering worlds! Our ongoing funded projects focuses on developing advanced machine learning and optimization algorithms, including, federated learning, quantum machine learning, and deep learning for  cyber-physical-social systems resilience and security, homeland security, and critical infrastructure operation and planning!

News

Best Journal Paper Award

  • [8/2022] Congratulations to solid lab Ph.D. Fellow, Luiz Manella Pereira, Prof. Amini, and their collaborator from FIU Mathematics and Statistics Department, for receiving the Best Journal Paper Award for their work entitled “Topological Data Analysis for Network Resilience Quantification” in Springer Nature Operations Research Forum!   (Link)

2022 Real Triumphs Graduate

  • [7/2022] Congratulations to solid lab’s Ph.D. Candidate Ahmed Imteaj advised by Prof. M. Hadi Amini for being recognized as the “2022 Real Triumphs Graduate” in the FIU Summer 2022 Commencement Ceremony!  (Link, FIU CEC Coverage)

An Evolutionary Optimization Algorithm for Automated Classical Machine Learning

  • [6/2022] Congratulations to solid lab’s Ph.D. Candidate Leila Zahedi advised by Prof. M. Hadi Amini for successfully defending her Ph.D. Dissertation entitled “An Evolutionary Optimization Algorithm for Automated Classical Machine Learning” on June 29, 2022!

Distributed Machine Learning Algorithms for Resource-Constrained Heterogeneous IoT Environments

  • [5/2022] Congratulations to solid lab’s Ph.D. Candidate Ahmed Imteaj advised by Prof. M. Hadi Amini for successfully defending his Ph.D. Dissertation entitled “Distributed Machine Learning Algorithms for Resource-Constrained Heterogeneous IoT Environments” on May 20, 2022!

News

  • Congratulations to solid lab Director Dr. M. Hadi Amini for his new role as the Director and Principal Investigator of the “ADvanced education and research for Machine learning-driven critical Infrastructure REsilience (ADMIRE) Center” sponsored by the U.S. Department of Homeland Security, Science and Technology Directorate! (admire.fiu.edu)

Lab Members

We are a passionate group of researchers who are working on interdisciplinary research. Our core strengths are in learning from each other, focusing on emerging challenges that can contribute to society, welcoming new ideas, and providing a nurturing collaborative environment to explore novel interdisciplinary ideas together.

Research

Our lab focuses on distributed artificial intelligence, machine learning, and optimization, and their applications in data privacy, healthcare, large-scale interdependent networks, and sustainability. For more details about ongoing projects and recent publications, please see the research page.