Alex Afanasyev

Assistant Professor

2013 Ph.D., Computer Science, University of California, Los Angeles
2012 M.S., Computer Science, University of California, Los Angeles
2007 M.S., Computer Science, Bauman Moscow State Technical University, Russia
2005 B.S., Computer Science, Bauman Moscow State Technical University, Russia

Dr. Afanasyev is currently an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. Prior joining FIU, he was an Adjunct Assistant Professor in the Computer Science Department at the University of California, Los Angeles (UCLA) and before that a postdoctoral scholar in UCLA. His main research focus is on the next generation Internet architecture as part of the Named Data Networking (NDN) project; and his research interests include a variety of topics that are vital for the success of NDN, including scalability of name-based routing, auto-configuration, distributed data synchronization, application and network security. Dr. Afanasyev’s postdoctoral achievements have been recognized by the UCLA Chancellor’s Award for Postdoctoral Research. He is also leading the development effort of the overall NDN codebase.

Dr. Afanasyev’s particular interest currently is application of Information-Centric...



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M. Hadi Amini

Assistant Professor

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

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...



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Janki Bhimani

Assistant Professor

2019 Ph.D., Northeastern University, Boston
2016 M.S., Northeastern University, Boston
2013 B.Tech., GITAM University, India

Janki Bhimani’s primary research focus revolves around Flash-Based Storage Systems, Big Data Processing, Cloud Computing, High-Performance Computing, and Parallel and Distributed Computing. Her research interest also includes Performance Modeling, Resource Management, and Capacity Planning for various emerging inter-disciplinary research domains. With her extraordinary expertise and extensive experience in the field of new emerging flash-based storage systems and devices, she has made significant contributions to the data storage management community. She is the recipient of the Outstanding Graduate Research Award of 2019 from Northeastern University. She also received Best Paper Awards from flagship conferences. Her work is published in highly selective conferences and journals. She is also the main inventor of top graded patents. Hand-in-hand with her research, she is very passionate about teaching and mentoring. Prior to joining at Florida International University, she...



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Wenqian Dong

Assistant Professor

2022 Ph.D., Computer Science, University of California, Merced

Wenqian Dong is an assistant professor of KFSICS department of Florida International University. She studied her Ph.D. in Computer Science and Engineering at the University of California, Merced. Her research focuses on high performance computing system (HPC). She is particularly interested in using machine learning techniques to improve performance of scientific applications. During her Ph.D., she has published a set of papers in various top HPC conferences, including two published in the prestigious Supercomputing Conference (SC), the flagship conference in the HPC field. She also received the UCM Bobcat Fellowship in 2018 and 2020. Wenqian was a research intern in the HP labs and is a research intern in the Pacific Northwest National Lab. Her work on power grid simulation was highlighted at the DOE science news and PNNL media.



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Amin Kharraz

Assistant Professor

2017 Ph.D., Computer Science – Systems Security, Northeastern University

Dr. Kharraz is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences at FIU. Dr. Kharraz is the director of systems security lab (https://theseclab.org) where he conducts research on advanced malware attacks, web and browser security. Dr. Kharraz received his Ph.D. from Northeastern University in Systems Security. He was a postdoctoral researcher for two years in Coordinated Science Lab (CSL) at the University of Illinois UrbanaChampaign. Dr. Kharraz’s research has been funded by Microsoft AI Security, CITES NSF/IUCRC center, National Security Agency.

Dr. Kharraz’s research revolves around empirical systems security and privacy. An overarching theme of his research has been to enable evaluating implications of emerging technologies and their associated threats at scale. His research focuses on applying data-driven techniques to build research tools that can assist discovering those threats in...



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Dongsheng Luo

Assistant Professor

2022 Ph.D., Information Science and Technology, Penn State University
2017 B.Eng., Computer Science and Technology, Beihang University

Dr. Dongsheng Luo is currently an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He obtained his doctoral degree from the College of Information Science and Technology, Pennsylvania State University in 2022. Before that, he received B.Eng. degree from Beihang University in 2017. His research focuses on data mining, deep learning, and natural language processing. He is particularly interested in developing robust, integrative, and explainable tools that extract clean and human-understandable knowledge from noisy and heterogeneous network data, with applications in neuroscience, system management, and biomedicine.



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Ananda M. Mondal

Assistant Professor

2011 Ph.D., Computer Science and Engineering, University of South Carolina

Dr. Ananda Mohan Mondal is currently an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). His research interests include Big Data Analytics, Machine Learning with Special Interest in Deep Learning, and Bioinformatics.

Prior to joining FIU, Dr. Mondal was an Assistant Professor (2012-2018) of Computer Science in the Department of Mathematics and Computer Science at Claflin University, South Carolina. At Claflin University, a liberal arts and primarily undergraduate teaching institute, Dr. Mondal was a strong proponent of bringing research to undergraduate classes he taught. He developed four courses to introduce his research in Big Data and Bioinformatics to undergraduate students at Claflin University. Students mentored by Dr. Mondal graduated with refereed publications in IEEE BIBE, IEEE BIBM, and BIOCOMP. As the culmination of his career at Claflin, Dr. Mondal received the prestigious NSF...



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Agoritsa Polyzou

Assistant Professor

2020 Ph.D., Computer Science, University of Minnesota

Dr. Agoritsa Polyzou is an Assistant Professor of Computer Science in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). Before joining FIU, she was a postdoctoral Fritz family fellow in the Massive Data Institute (MDI) of McCourt School of Public Policy at Georgetown University. She received her Ph.D. in Computer Science and Engineering from the University of Minnesota in 2020, and her Bachelor in Computer Engineering and Informatics from the University of Patras, Greece. She is engaging in projects at the intersection of big data, machine learning, ethics, and fairness. Her research interests include data mining, recommender systems, the application of machine learning techniques within educational contexts, and the fairness concerns that arise from their use. Her goal is to help students succeed using data and machine learning models. At the same time, she is interested in ensuring that such models will be fair and...



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Farhad Shirani

Assistant Professor

2016 Ph.D., University of Michigan, Ann Arbor

Dr. Farhad Shirani received his Ph.D. from University of Michigan, Ann Arbor, in 2016. He was a Research Assistant Professor at New York University in 2016-2020. His research focuses in the areas of privacy and security, wireless communications, and machine learning.



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Ruimin Sun

Assistant Professor

2019 Ph.D., Electrical and Computer Engineering, University of Florida
2014 M.Sc., Electrical and Computer Engineering, University of Florida

Dr. Ruimin Sun graduated from University of Florida in 2019 (under Dr. Daniela Oliveira) and worked as a Postdoctoral Research Associate in the Khoury College of Computer Sciences (working with Dr. Long Lu) at Northeastern University. Her research aims at securing ubiquitous systems (desktop, mobile, IoT/CPS) and protect end users from cyber-attacks through enhanced security mechanisms with intelligent defense strategies. Her research focuses on cyber physical system security, mobile device information privacy, real-time anomaly detection, and system security and reliability.



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Xuyu Wang

Assistant Professor

2018 Ph.D., Electrical and Computer Engineering, Auburn University

Dr. Xuyu Wang is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. Before joining FIU, he was an Assistant Professor in the Department of Computer Science at California State University, Sacramento. He received his Ph.D. from the Department of Electrical and Computer Engineering at Auburn University in 2018. His research interests include wireless sensing, Internet of Things, wireless localization, smart health, wireless networks, and AI security. He received the NSF CRII Award in 2021. He was a co-recipient of the Second Prize of the Natural Scientific Award of the Ministry of Education, China, in 2013, the IEEE INFOCOM 2022 Best Demo Award, the IEEE ICC 2022 Best Paper Award, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the IEEE GLOBECOM 2019 Best Paper Award, the IEEE ComSoc MMTC Best Journal Paper Award in 2018, the IEEE PIMRC 2017 Best Student Paper Award, and the IEEE...



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Yanzhao Wu

Assistant Professor

2022 Ph.D., Computer Science, Georgia Institute of Technology
2017 B.E., Computer Science, University of Science and Technology of China

Dr. Yanzhao Wu is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He obtained his bachelor’s degree from University of Science and Technology of China in 2017 and then received his Ph.D. degree in Computer Science from Georgia Institute of Technology in 2022. His research interests are primarily centered on the intersection of machine learning and computing systems, including machine learning algorithm and system optimizations, deep learning, edge AI, and big data analytics. His work has been published in top venues, including CVPR, ICSE, IEEE ICDCS, IEEE ICDM, IEEE TSC, and ACM TOIS, and won the IEEE CIC 2021 best paper award. He also serves as a reviewer for top conferences and journals, such as ICDE, WWW, CVPR, ECCV, AAAI, IEEE ICDCS, IEEE TKDE, and ACM TOIT.



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Wenbin Zhang

Assistant Professor

2020 Ph.D., University of Maryland, Baltimore County

Wenbin Zhang is an Assistant Professor in the Knight Foundation School of Computing & Information Sciences at Florida International University, and an Associate Member at the Te Ipu o te Mahara Artificial Intelligence Institute. His research investigates the theoretical foundations of machine learning with a focus on societal impact and welfare. In addition, he has worked in a number of application areas, highlighted by work on healthcare, geophysics, transportation, forestry, and finance. He is a recipient of best paper awards/candidates at FAccT’23, ICDM’23, DAMI, and ICDM’21, as well as the NSF CRII Award and recognition in the AAAI’24 New Faculty Highlights. He also regularly serves in the organizing committees across computer science and interdisciplinary venues, most recently Travel Award Chair at AAAI’24, Volunteer Chair at WSDM’24 and Student Program Chair at AIES’23.


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