Director: Prof. M. Hadi Amini

Biography: M. Hadi Amini is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing at Florida International University. 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. Prior to that, he received M.Sc. degree from Tarbiat Modares University in 2013, and B.Sc. degree from Sharif University of Technology in 2011. His research interests include distributed machine learning algorithms, distributed optimization, federated learning, interdependent networks, and cyberphysical resilience. Application domains include smart cities, healthcare, and energy systems. Hadi is 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), SN Operations Research Forum, and International Transactions on Electrical Energy Systems. He has published more than 100 refereed journal and conference papers, and book chapters. He edited/authored six books. He is the co-recipient of the best paper award from “2019 IEEE Conference on Computational Science & Computational Intelligence”, 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.

Contact: amini [at] [cs] [dot] [fiu] [dot] [edu]

Office: Modesto A. Maidique Campus, CASE 238A

Phone: (305) 348-9936

Homepage: www.hadiamini.com

ORCID | LinkedIn | ResearchGateTwitter

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Ph.D. Candidate: Ahmed Imteaj

Dissertation Title: Distributed Machine Learning Algorithms for Resource-Constrained Heterogeneous IoT Environments

Ahmed Imteaj is a Ph.D. student and Graduate Assistant at the Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing at Florida International University. He received his B.Sc. from Chittagong University of Engineering and Technology (CUET) in 2015 and received a merit scholarship at every semester from CUET. His research interests include Federated Learning, Internet of Things (IoT), Machine learning, Blockchain, and optimization and Learning Algorithms. Before joining at FIU, he served as a faculty at International Islamic University Chittagong (IIUC) for three years. Ahmed is the recipient of the best paper award from “2019 IEEE Conference on Computational Science & Computational Intelligence”, and published more than 25 peer-reviewed journal and conference papers on the Federated Learning, Internet of Things (IoT), Machine learning, Blockchain, and smart systems.

 

Office: Modesto A. Maidique Campus, CASE 238

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Ph.D. Candidate: Leila Zahedi

Dissertation Title: Efficient Optimization Algorithms for Automated Machine Learning: Theory and Applications

Leila Zahedi is a Ph.D. Candidate at Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab), Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing at Florida International University (FIU). She received her B.Sc. from the University of Isfahan (UI) in 2011, her M.Sc. from Yazd University (YU) in 2016, and her other M.Sc. in Spring 2021 from FIU. Her research interests include Machine Learning Optimization, Data Science, and Educational Data Mining. She received several scholarships from Anita Borg Institute and National Foundation of Science to attend the Grace Hopper Celebration (GHC17, GHC19) and Richard Tapia Conference (TAPIA19, vTAPIA20). Also, she recently got the Student Government Association (SGA) Graduate Students Scholarship. Besides her academic activities she served as Chair of Graduate and Professional Student Committee (GPSC) and Graduate Senator at Student Government Association. She published more than 10 journal and conference papers.

Office: Modesto A. Maidique Campus, CASE 238

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Ph.D. Fellow: Luiz Pereira

Luiz Manella Pereira is a Ph.D. student and DHS CAESCIR Fellow at the Knight Foundation School of Computing and Information Sciences at FIU. He is a member of Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab) working with Dr. Amini. Prior to that, he was an Undergraduate DHS CAESCIR Fellow with solid lab. He graduated as a Worlds Ahead Scholar in the Fall of 2019 with a BBA in Finance, followed by a BS in Applied Mathematics Fall 2020. He is very passionate about tackling real-world problems from a mathematical point of view. His current research interests are the theory of machine learning and its applications in network resilience.

Office: Modesto A. Maidique Campus, CASE 238

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Ph.D. Student: Khandakar Mamun Ahmed

Khandaker Mamun Ahmed is a Ph.D. student and Graduate Assistant at Sustainability, Optimization, and Learning for InterDependent networks laboratory (solid lab), Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing at Florida International University (FIU). He received his B.Sc. from the Institute of Information Technology, University of Dhaka (IIT, DU) in 2016. His research interests include Federated Learning, Deep Learning, Computer Vision, Internet of Things (IoT), Machine learning, and Optimization Algorithms. Before joining FIU, he served as a faculty member in the Department of Computer Science and Engineering at Brac University for more than 1.5 years. He published 2 journals papers and 2 conference papers are under review.

Office: Modesto A. Maidique Campus, CASE 238

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Former M.Sc.  Student: Naadir Kirlew 

Naadir Kirlew is a MSc student at the Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing at Florida International University (FIU). He is an alumnus of the College of Engineering and Computing at Florida International University where he received his B.Sc. of Mechanical Engineering in 2019. His research interests include Optimization, Machine Learning, Natural Language Processing, and autonomous control and navigation of robotics.  As an undergraduate student he has worked as a Design Engineer at FIU’s Wall of Wind and was the Programming and Hardware Lead for FIU’s team in the NASA Swarmathon competition enabling the team to place in the Quarterfinals in 2018. For the past two summers, Naadir has worked at Lockheed Martin in multiple roles developing applications to optimize efficiencies and strengthen existing initiatives across the company. As a graduate student, he worked on Machine Learning and Autonomous multi-robot collaboration.

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Former M.Sc. Research Assistant: Aaron Turransky (Fall/Spring 2020)

Aaron Turransky is a current student at Florida International University, currently pursuing his second masters degree in the field of cybersecurity. Previously, Aaron already obtained a BSBA from the University of Miami in the field of International Finance and Marketing, and an MBA from Northern Illinois University. Within cybersecurity, Aaron is most intrigued by the risk-benefit that companies and individuals must face when making decisions. When it comes to cybersecurity, Aaron knows that there is no fool-proof plan and decisions must be made including cost, risk, time-frames, and thousands of others. Aaron plans to use his combination of business skills and cyber skills to help companies navigate those areas.

Although his focus and passion are cybersecurity, Aaron is no stranger to the healthcare industry. For several years, he worked side by side with physicians and their practices to help patients get the necessary medications that they needed. After that, Aaron worked with a consulting firm that helped life-science companies be compliant with the FDA on IT-related issues. Upon completion of his masters degree, he will be armed with the technical know-how to help move corporations forward while best protecting themselves. As the field of cybersecurity grows and expands, there will always be changes and new things to learn. As a result, Aaron considers himself to be a life-long student, always looking to develop his skills and improve his knowledge.

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Former Undergraduate Research Fellow: Luiz Pereira (March 2020-December 2020) [Currently a solid lab PhD student]

Luiz Pereira has graduated as a Worlds Ahead Scholar with a BBA in Finance from FIU in 2019. Based on his interest in math, he is now working towards earning his BS in Applied Mathematics. He is very passionate about tackling real-world problems from a mathematical point of view; this drove him to work on research with Dr. Sun on blind signal separation, and with Dr. Amini on the theory and applications of machine learning and network resilience. He is currently a member of the solid lab at FIU SCIS where he continues to work with Dr. Amini and tries to merge his ongoing research with his previous research experience.

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Former Undergraduate Research Fellow: Calvin Mark (Spring/Summer 2020)

Calvin Mark is currently an undergraduate student studying at the College of Engineering and Computing at Florida International University. While working towards his BS in Computer Science, Calvin has pursued his passions in the field of Physics where he has also completed his minor. Calvin’s fields of interests lie in Robotics, Artificial Intelligence, Computer Vision, Digital Signal Processing and Applied Computing in Real-Time Audio Processing. Calvin is currently an Undergraduate Research Assistant for Solid Lab with Dr. Hadi Amini on the theory of social dynamics, power distribution and resilient networks. Calvin graduated summer of 2020 from Florida International University.

First Employment/Position after Graduating from FIU: MSc student at Georgia Tech

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Research featured by FIU News, FIU CEC News, and FIU SCIS News (Link 1) (Link 2) (Link 3)

 

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Former Undergraduate Research Fellow (Supported by NSF REU Program): Meleik Hyman (Spring-Fall 2020)

Meleik Hyman is currently a senior studying at the College of Engineering and Computing at Florida International University working towards a B.S. in Computer Science. He recently completed an internship at Starbucks as Data Scientist. Prior to that, he interned at The Boeing Company, where he designed and implemented reporting dashboards/visualizations based on three years of financial data to assist upper management to better allocate funds. Resulted in significant cost savings in the last two weeks of his internship. During Summer 2020, he was a part of NSF Research Experience for Undergraduate Students program under supervision of Dr. Amini. As a part of this research, he incorporates models that forecast the novel coronavirus outbreak, the correlation between past market behaviors during recessions and pandemics, and actions that can be taken to assist in economic recovery. In his spare time, he enjoys walking, learning new things and entrepreneurship.

First Employment/Position after Graduating from FIU: Data Scientist at Starbucks

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Research featured by FIU NewsFIU CECFIU CEC LinkedInFIU SCISFIU SCIS LinkedIn

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Former Undergraduate Research Fellow (Supported by NSF REU Program):

Raghad Alabagi (Summer 2021)

Raghad Alabagi is a rising junior in Electrical and Computer Engineering at the University of Arizona. She has had a passion for software at a young age and is now working towards her bachelor’s degree in both Software Engineering and in Mathematics. While attending the University of Arizona, she has made the dean’s list along with being accepted into a competitive program for STEM majors. She worked on federated learning algorithms for distributed decision-making.

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Senior Design Team: “Distributed Machine Learning for Mobile Programmable Robots: From Programming to Distributed Intelligence” (Spring 2020)

News Coverage: “Students rise against the odds to complete their senior design project on machine learning for robotics” by FIU College of Engineering and Computing News and FIU School of Computing and Information Sciences News

 

Undergraduate Student: Glenda Gonzalez

Glenda Gonzalez is an aspiring software engineer who will be interning at Wells Fargo this summer. She will be graduating from Florida International University in 2020, with bachelor’s degrees in Computer Science and Psychology. Her interests include human-computer interaction, artificial intelligence, and machine learning.

Together with her teammate, she worked on her senior design project entitled “Distributed Machine Learning for Mobile Programmable Robots: From Programming to Distributed Intelligence”. As a part of this senior design project, students explored the potential deployment of machine learning and artificial intelligence algorithms on mobile robots. To this end, they used programmable intelligent robots, implemented and expanded on built-in features of the robot such as obstacle avoidance, color classification, QR codes, and facial detection. Additionally, they explored the robot’s capabilities pertinent to computer science research and education, with the goal of determining whether it is a suitable platform for modeling distributed machine learning algorithms.

 

Undergraduate Student: Ricardo Boetto

Ricardo Boetto is a Computer Science student graduating May 2020, and will be starting as a software engineer at American Express in August 2020. His main focus during his tenure at FIU was computer graphics and multiprocessing. He also has a degree in English Literature with an emphasis on critical literary theory.

Together with his teammate, he worked on his senior design project entitled “Distributed Machine Learning for Mobile Programmable Robots: From Programming to Distributed Intelligence”. As a part of this senior design project, students explored the potential deployment of machine learning and artificial intelligence algorithms on mobile robots. To this end, they used programmable intelligent robots, implemented and expanded on built-in features of the robot such as obstacle avoidance, color classification, QR codes, and facial detection. Additionally, they explored the robot’s capabilities pertinent to computer science research and education, with the goal of determining whether it is a suitable platform for modeling distributed machine learning algorithms.

 

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Research Experience for Teachers, Supported by NSF: The main goals of this program are to (1) build long-term collaborations between Kindergarten-through-12th grade (K-12) STEM teachers and the research community; (2) increase K-12 teachers’ knowledge of cutting-edge research topics; (3) build K-12 teachers’ technology competency through research and professional development programs; and (4) assist teachers in developing class curriculum based on their experience.

  • Summer 2020: Zhaleh Hosseinian, Project Title: “A Mobile Application to Assist in Maintaining Social Distance and Illustrate COVID-19 Situations”
  • Summer 2021: Marisa Behar and Yoandra Abad,  Project Title: “Federated Learning Algorithms for Distributed Decision-making”