Investigators, Program Directors
Dr. Niki Pissinou has published over two hundred and fifty research papers in peer reviewed journals, conference proceedings, books, and book chapters on networking, telecommunications, distributed systems, mobile computing, security and aspects of nontraditional data management including co-editing over four texts in the area of mobile and wireless networking andsystems and over fourteen IEEE and ACM conference volumes. Widely cited in books and research papers, her research has been funded by NSF, DHS, NASA, DOT, DoD, state governments and industry. She has graduated over nineteen Ph.D. students who now hold positions in academia, federal government and industry. Dr. Pissinou has served as the general and technical program chair on a variety of ACM and IEEE conferences. She also served on hundreds of IEEE and ACM program committees, organizing committees, review panels, advisory boards, editorial boards, etc. She has served as an editor of many journals including the IEEE Transactions on Data and Knowledge Engineering. She also has been the founder of many professional forums, including the ACM GIS. Dr. Pissinou has given keynote talks at various events and served as consultant to industry. Her achievements have been recognized by her peers, who have given her several awards and honors, including best paper awards.
Dr. S.S. Iyengar is currently the Ryder Professor of Computer Science and Director of the School of Computing and Information Sciences at Florida International University (FIU), Miami. He is also the founding director of the Discovery Lab. Prior to joining FIU, Dr. Iyengar was the Roy Paul Daniel's Distinguished Professor and Chairman of the Computer Science department for over 20 years at Louisiana State University. He has also worked as a visiting scientist at Oak Ridge National Lab, Jet Propulsion Lab, Satish Dhawan Professor at IISc and Homi Bhabha Professor at IGCAR, Kalpakkam and University of Paris and visited Tsinghua University, Korea Advanced Institute of Science and Technology (KAIST) etc. His research interests include High-Performance Algorithms, Biomedical Computing, Sensor Fusion, and Intelligent Systems for the last four decades. His research has been funded by the National Science Foundation (NSF), Defense Advanced Research Projects Agency (DARPA), Multi-University Research Initiative (MURI Program), Office of Naval Research (ONR), Department of Energy/Oak Ridge National Laboratory (DOE/ORNL), Naval Research Laboratory (NRL), National Aeronautics and Space Administration (NASA), US Army Research Office (URO), and various state agencies and companies. Dr. Iyengar is a computer scientist of international repute who has been a pioneer in multiple fields. Marked by his incredible record of success in the areas of world-class research, superb teaching, and excellence in community service, he has also significantly impacted industry, through his many discoveries and patents. His distinguished international and national research work have consistently been recognized by US government agencies, industry pioneers, and his research colleagues. His work has been featured on the cover of the National Science Foundation's breakthrough technologies in both 2014 and again in 2016. Dr. Iyengar has garnered multiple awards for his work and made fundamental contributions in a variety of areas that impact our lives today. His seminal contributions continue to be seen in places like Raytheon, Telcordia, Motorola the United States Navy, DARPA and other universities and research laboratories around the world.
Biography for Dr. S.S. Iyengar
Dr. Afanasyev is currently an Assistant Professor in the School of Computing and Information Sciences at Florida International University. Prior to 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.
Dr. Leonardo Bobadilla is currently an Assistant Professor in the School of Computing and Information Sciences at Florida International University. He received the B.E. degree in Computer Engineering in 2005 and the M.Sc. degree in Statistics in 2008 both from the National University of Colombia. He then received his Ph.D. degree from Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC) working under professor Steven M. LaValle. His research interests include Robotics, Artificial Intelligence, and Cyber-Physical Systems. In particular, he is interested in understanding the information requirements for solving fundamental robotics tasks such as navigation, patrolling, tracking, and motion safety. He has received several awards including an Illinois Student Undergraduate Research (ISUR) Graduate Mentor Award 2012-2013 and the Top 10 Computer Engineering in Colombia (ECAES) Award.
Dr. Bogdan Carbunar is an Assistant Professor in the School of Computing and Information Sciences at the Florida International University. Previously, he held various researcher positions within the Applied Research Center at Motorola. His research interests include distributed systems, security and applied cryptography. He holds a Ph.D. in Computer Science from Purdue University.
Endadul Hoque is an Assistant Professor in the School of Computing and Information Sciences at Florida International University. He received his Ph.D. in Computer Science from Purdue University. After his PhD, he was a Postdoctoral Research Associate at Northeastern University. His research interests lie at the intersection of networked systems and security. Broadly, he is interested in tackling practical cybersecurity problems in the networking domain, where the overarching goal is to create automated techniques for achieving higher assurance on networked systems. He primarily apply program analysis and formal verification techniques to design and develop automated analysis techniques for aiding the development of secure networked systems, including real-world implementations of network protocols and IoT systems. During his PhD, he received the Graduate Teaching Fellowship award in 2014 and the Bilsland Dissertation Fellowship award in 2015. His research work has been published in several top security and networking conferences (e.g., S&P, DSN) and journals (e.g., ToN).
Dr. Jun Li is an assistant professor of the School of Computing and Information Sciences at Florida International University. Before joining FIU, Dr. Li received his Ph.D. degree at the University of Toronto in 2016, and his M.S. and B.S. degrees at Fudan University, China, in 2012 and 2009, respectively. His research focuses on large-scale distributed storage systems with erasure coding. Merging the gap between theory and practice, his research studies both theoretical and practical challenges of deploying erasure coding in a distributed storage system with high performance and low resource consumption.
Colonel Jerry Miller, USAF (Ret.) is an Associate Director Academic Support Services and Adjunct Faculty member. He joined FIU in 2006 as Associate Director and Principal Investigator for renewable energy, international security, and technology research at the Applied Research Center before joining the School of Computing and Information Sciences. He spent over 27 years in the US Air Force, serving as a Foreign Area Officer for Latin America, Strategic Plans Officer, and Resource Staff Officer in the Planning, Programming and Budgeting System (PPBS). He served at the US Embassy in Montevideo, Uruguay, and in Honduras. Mr. Miller received his BS in Basic Sciences from the United States Air Force Academy and holds an MA in Management and Human Resources, as well as an MS in Telecommunications and Computer Networking. He is a graduate of the Air University's Air War College, the Air Command and Staff College, Eaker College Joint Doctrine Air Campaign Course, as well as the On-Scene Commander's Disaster Management Course and is a DoD certified Spanish Linguist. He conducts research in the privacy and security of wireless and sensor networks, robotics. and other related areas.
Dr. Deng Pan is an Assistant Professor in the School of Computing
and Information Sciences, Florida International University. His research
interests are generally in high performance switch architectures and high
speed computer networks. His recent research has been focusing on resource
allocation and energy efficiency in data center networks. The ongoing projects
include: management of multiple deterministic and stochastic resources in data
centers, load-balanced multipath routing for data center networks, and joint
host-network energy optimization for data centers.
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.
Mark A. Finlayson
Dr. Mark A. Finlayson recieved his Ph.D. in Computer Science from MIT in 2012 under the supervision of Professor Patrick H. Winston. Following that, he was a Research Scientist in the MIT Computer Science and Artificial Intelligence Laboratory for two and a half years. He received his M.S. in 2001 from MIT, and the B.S. in 1998 from the University of Michigan, both in Electrical Engineering. He is co-founder and general chair of the Computational Models of Narrative Workshop series, and lead guest editor of the forthcoming Literary and Linguistic Computing special issue on Computational Models of Narrative.
Dr. Graham is the Assistant Director,
Research, for FIU's School of Computing and Information Sciences (SCIS)
and serves as Program Coordinator for FIU SCIS's NSF PIRE and CREST awards.
As Assistant Director for Government Relations of FIU's High Performance
Database Research Center and its NSF Industry/University Cooperative Research
Center (I/UCRC), he has assisted their Director, Naphtali Rishe, in overseeing
projects totaling over $45 million. His areas of interest include program
management, broadening participation, database modeling, Internet applications,
and computer architecture. Dr. Graham received his Ph.D. in Computer Science
from FIU and his BSE in Computer and Information Engineering Science from
the University of Florida. He has authored more than forty publications
covering his areas of interest and is a member of both Tau Beta Pi and Upsilon
Pi Epsilon honor societies.
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. degree 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". Her research interests include computational conformal
geometry, Teichmuller quasiconformal geometry, discrete Ricci flow, and their
applications to surface matching, registration, tracking, recognition, and shape
analysis. Her research areas span over computer vision, medical imaging, computer
graphics and visualization, wireless sensor network, geometric modeling, and
computational topology. 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 titled "Ricci Flow for Shape
Analysis and Surface Registration: Theories, Algorithms and Applications", won a Best
paper award in International Journal of CAD/CAM (IJCC 2009), and has two U.S. patents
on virtual colonoscopy techniques.
Dr. 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.
Dr. Shaolei Ren received the B.E. degree in Electronic Engineering from Tsinghua
University in July 2006, the M.Phil. degree in Eletronic and Computer Engineering from Hong Kong
University of Science and Technology in August 2008, and the Ph.D. degree in Electrical Engineering
from University of California, Los Angeles, in June 2012. Since August 2012, he has been with Florida
International University, where he currently holds a joint appointment of Assistant Professor in the
School of Computing and Information Sciences and the Department of Electrical and Computer Engineering.
Dr. Ren�s research spans cloud computing, data center optimization and network economics. He received
the Best Paper Award at IEEE International Conference on Communications in 2009, and was selected by
IBM T. J. Watson Research as one of the 10 Emerging Leaders in Multimedia and Signal Processing in 2010.
Dr. Nagarajan Prabakar is an Associate Professor in the School of Computing and
Information Sciences, Florida International University. His research interests
are generally in Distributed Sensor Networks, Grid Computing, Computer Networks,
Image Processing for Spatial Data and Multimedia Databases.
Dr. Xin Sun received his Ph.D. degree from Purdue University
in 2012, and B.E. degree from University of Science and Technology of China
in 2005, both in Computer Engineering. He is now an assistant professor in the
School of Computing and information Sciences at FIU. His research interests are
in the design, operation and management of enterprise networks, and in software
defined networking. His research emphasizes on system building and experimental
Dr. Ming Zhao is an Assistant Professor in the School of Computing and
Information Sciences, Florida International University. His research
interests are generally in Operating Systems, Virutalization, Distributed
Computing, High-performanced Systems and Autonomic Computing.
Dr. Ruogu (Renee) Fang is currently an assistant
professor in the School of Computing and Information Sciences at Florida
International University. She is also an affiliated faculty of the Cognitive
Neuroscience & Imaging Center at School of integrated Science and Humanity.
She received her Ph.D. degree in electrical and computer engineering from Cornell
University in 2014 (Advisor: Tsuhan Chen). Prior to that, she received her B.Sc.
degree in information engineering from Zhejiang University in 2009, and M.Sc.
degree in electrical and computer engineering from Cornell University in 2013.
In 2010 and 2011 respectively, Ruogu worked at Siemens and Kodak as a research
intern. She is a member of the IEEE Signal Processing Society (SPS), American
Society of Neuroradiology (ASNR) and Medical Imaging Computing and Computer Assisted
Intervention Society (MICCAI). Prof. Fang's research group aims to explore intelligent
approaches to bridge the data and medical informatics. The focus is on computing and
analytics of functional imaging, such as cerebral blood flow estimation in CT perfusion,
deconvolution in low-dose radiation CT imaging and fast arterial spin labeling MRI.
These are critical imaging and analytics foundations for future ultra-low-radiation,
high-speed and high-resolution medical imaging.