Director: Prof. M. Hadi Amini

Biography: M. Hadi Amini is an Assistant Professor at 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 the B.Sc. degree from Sharif University of Technology in 2011. His research interests include theoretical optimization and learning algorithms, distributed algorithms, sensor networks, interdependent networks, and cyberphysical resilience. Application domains include energy systems and transportation electrification. 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 SN Operations Research Forum and International Transactions on Electrical Energy Systems. He has published more than 90 refereed journal and conference papers, and book chapters. He edited/authored six books. He is the recipient of the best paper award from “2019 IEEE Conference on Computational Science & Computational Intelligence”, 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. Student: Ahmed Imteaj

Ahmed Imteaj is a Ph.D. student and Graduate Assistant at the 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 got merit scholarship at every semester from CUET. His research interests include Internet of Things (IoT), Blockchain, sensor networks, and optimization and Learning Algorithms. Before joining at FIU, he served as a faculty at International Islamic University Chittagong (IIUC) for more than 2.5 years and attained excellent Teaching Efficiency Rating in couple of semesters. He was also an executive member of the IIUC Computer Club which organizes different programming contests, seminars, workshops and performs different social welfare activities. He published more than 15 journal and conference papers on the Internet of Things (IoT) and smart system, and have the experience to give presentations in several conferences. He will continue to do his research to innovate new ideas.

Office: Modesto A. Maidique Campus, CASE 238

Homepage | ResearchgateGoogle ScholarLinkedIn

 

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M.Sc. Research Assistant: Aaron Turransky

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 is 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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Undergraduate Research Fellow: Luiz Pereira

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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Undergraduate Research Fellow: Calvin Mark

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 will graduate in the summer of 2020 from Florida International University and will continue on to pursue his PhD.

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Senior Design Team: “Distributed Machine Learning for Mobile Programmable Robots: From Programming to Distributed Intelligence

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

 

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.