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 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 Networking (ICN) to Internet-of-Things (IoT), specifically realizing the vision of IoT where applications securely communicate with and about “things” without being concerned about specific details of the devices/controllers that represent things.



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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 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 has published more than 60 refereed journal and conference papers, and book chapters. He is the recipient of the 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.

 



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Janki Bhimani

Assistant Professor

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 previously served Northeastern University as an instructor. She also closely worked with research scientists at Samsung Semiconductor Research Labs towards evolving flash-based SSDs. She received her Ph.D. from the Department of Electrical and Computer Engineering at Northeastern University, Boston in 2019. Before her Ph.D., she got her M.S. from the same university in 2014. She received her B.S. in Electrical and Electronics Engineering from GITAM University, India in 2013. In her free time, Janki is a creative visual artist. Far from home, amidst nature, she finds her inspiration to paint. She enjoys understanding the impact of art on human psychology, and she can painterly bring motivation, healing, and encouragement through the canvas.



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Leonardo Bobadilla

Assistant Professor

2013 Ph.D., Computer Science University of Illinois at Urbana-Champaign

Dr. Leonardo Bobadilla (FIU) is currently an Assistant Professor in the School of Computing and Information Sciences at Florida International University. He is interested in understanding the information requirements for solving fundamental robotics tasks such as navigation, patrolling, tracking, and motion safety and has deployed test-beds that can track and control a large number of mobile units that require minimal sensing, actuation, and computation. He received his Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign. He has received several awards and has published 37 peer-reviewed journal articles and conference papers. His research articles have appeared in prestigious journals such as IEEE Journal of Automation Science and Engineering, IEEE Robotics and Automation Letters, and ACM Transactions on Sensor Networks. His research has been sponsored by the Army Research Office, Department of Homeland Security, NSF, and the Ware Foundation. He has graduated three Ph.D. students and one master’s student who are well placed in major companies and universities.



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Dong Chen

Assistant Professor

2018 Ph.D., Electrical and Computer Engineering, University of Massachusetts Amherst
2014 Ph.D., Computer Science, Northeastern University (China)

Dong Chen is currently an Assistant professor in the School of Computing and Information Sciences at Florida International University. He received his Ph.D. in Electrical and Computer Engineering in 2018 from University of Massachusetts Amherst. Before that, he completed his Ph.D. in Computer Science in 2014 from Northeastern University, China. His research focuses on data analytics, cybersecurity, and privacy implications of Cyber-Physical Systems. He has published over 20 research papers in these and related areas over the past decade. In addition, his work on energy data analytics has been applied to real-world energy data, which he has made publicly available.



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Mark A. Finlayson

Assistant Professor

2012, Ph.D., Computer Science, Massachusetts Institute of Technology
2001, M.S., Electrical Engineering, Massachusetts Institute of Technology
1998, B.S., Electrical Engineering, University of Michigan

Dr. Mark Finlayson is Assistant Professor of Computer Science in the School of Computing and Information Sciences at Florida International University (FIU). He received his Ph.D. in Computer Science and Cognitive Science from MIT in 2012 under the supervision of Patrick H. Winston. He also received his M.S. from MIT in 2001 and his B.S. from the University of Michigan in 1998, both in Electrical Engineering. Before joining SCIS he was a Research Scientist in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) for 2½ years. His research focuses on representing, extracting, and using higher-order semantic patterns in natural language, especially focusing on narrative. His work intersects artificial intelligence, computational linguistics, and cognitive science. He directs the Cognac Laboratory (The Cognition, Language, and Culture lab), whose members focus on investigating the science of narrative from a computational point of view. His research has been funded by the NSF, NIH, DARPA, OSD, ONR, DHS, and IBM. He was the recipient of an NSF CAREER Award in 2018 and an IBM Faculty Award in 2019. He was named Edison Fellow for Artificial Intelligence for 2019 at the US Patent and Trademark Office (USPTO). He has received multiple teaching awards at FIU, plus an FIU faculty award for research and creative activities in 2019.



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Liting Hu

Assistant Professor

2016 PH.D., Computer Science, Georgia Institute of Technology
2007 B.S., Computer Science, Huazhong University of Science & Technology

Liting Hu got her PhD degree in Computer Science at Georgia Institute of Technology. Before that, she completed her undergraduate degree in Computer Science at Huazhong University of Science and Technology in China. Her research is in the general area of distributed systems and its intersection with big data analytics, resource management, power management and system virtualization. She spent summers interning at IBM T.J. Watson Research Center, Intel Science and Technology Center for Cloud Computing, Microsoft Research Asia, VMware, and has been working closely with them. Her work was published at top conferences like USENIX ATC 2014, SOCC 2013, ICDCS 2012, ICAC 2012 and Cluster 2008.



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Jun Li

Assistant Professor

2017 Ph.D., Electrical and Computer Engineering, University of Toronto, Canada
2012 M.S., Computer Science, Fudan University, China
2009 B.S., Computer Science, Fudan University, China

Dr. Jun Li is an assistant professor at the School of Computing and Information Sciences, Florida International University. Before joining FIU, he received his Ph.D. degree from the Department of Electrical and Computer Engineering, University of Toronto, in 2017, and his B.S. and M.S. degrees from the School of Computer Science, Fudan University, China, in 2009 and 2012. Merging the gap between theory and practice, his research studies both theoretical and practical challenges of deploying coding techniques in distributed machine learning and distributed storage systems.



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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 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 CAREER Award in 2017. He was tenured and promoted to Associate Professor at Claflin University in August 2018. In Bangladesh, Dr. Mondal served as a Lecturer and then as an Assistant Professor in the Department of Chemical Engineering at Bangladesh University of Engineering and Technology (BUET). He received his Ph.D. in Computer Science and Engineering from the University of South Carolina in 2011.

Dr. Mondal has served as the session chairs for the IEEE BIBM, IEEE BIBE, and BIOCOMP. He is a peer reviewer for Bioinformatics and IEEE BIBM. He is a member of ACM, IEEE, and ISCB.

Dr. Mondal received the Research Excellence Award twice (2015 and 2017) from the School of Natural Sciences and Mathematics at Claflin University. He also received The Attorney William H. and Annette B. Johnson Endowed Annual Faculty Award for Innovative Scientific Research Award at Claflin University (2017). Dr. Mondal is a recipient of the prestigious NSF CAREER Award (2017).



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Monique S. Ross

Assistant Professor

2016 Ph.D., Engineering Education, Purdue University
2011 Master’s, Software Engineering and Computer Science
2001 Bachelor’s, Computer Engineering

Monique Ross holds a doctoral degree in Engineering Education from Purdue University. She has a Bachelor’s degree in Computer Engineering from Elizabethtown College, a Master’s degree in Computer Science and Software Engineering from Auburn University, eleven years of experience in the industry as a software engineer, and five years as a full-time faculty in the departments of computer science and engineering. Her interests focus on broadening participation in engineering through the exploration of: 1) race, gender, and identity in the engineering workplace; 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields. She is the PI on two National Science Foundation grants, one foundation grant, and co-PI on two large scale grants. Dr. Monique Ross is committed to the expansion of rigorous computer science education research at FIU and nationally.


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Ning Xie

Assistant Professor

2012 Postdoctoral Fellow, Computer Science, Massachusetts Institute of Technology
2012 PH.D., Computer Science, Massachusetts Institute of Technology
2002 M.S., Computer Science, SUNY at Buffalo
1996 M.S., Theoretical Physics, Fudan University, China
1993 B.E., Shipbuilding Engineering, Harbin Engineering University, China

Ning Xie received his Ph.D. in Computer Science in 2012 from MIT. His research interests are in many aspects of algorithmic and complexity theory, including property testing, local computation algorithms, Fourier analysis of Boolean functions, circuit complexity and coding theory. His research has been supported by NSF and U.S. Air Force Research Lab Summer Faculty Fellowship Program.



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Wei Zeng

Assistant Professor

2008 PH.D., Computer Science and Technology, Chinese Academy of Sciences

Dr. Wei Zeng is an assistant professor of the School of Computing and Information Sciences at Florida International University. Dr. Zeng received her Ph.D. from Chinese Academy of Sciences in 2008 and had her postdoctoral training at Stony Brook University in 2010-2012. She also worked at Microsoft Research Asia and Stony Brook University during her graduate study. Her Ph.D. thesis was titled “Computational Conformal Geometry Based Shape Analysis”. She has published numerous papers in peer-reviewed journals (e.g., IEEE TPAMI, IEEE TVCG, IJCV) and conferences (e.g., ICCV, ECCV, CVPR, VIS, SPM, IPMI, MICCAI, INFOCOM, IPSN) and a book by Springer, won a Best paper award in CAD/CAM (IJCC 2009), and has two U.S. patents on virtual colonoscopy techniques.



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