Investigators, Program Directors
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 and
systems 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
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. 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
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.
Dr. Ning Xie is an Assistant Professor in the School of Computing and Information Sciences, Florida International University. His research interests are generally in Sublinear Algorithms, especially Property Testing and Analysis of Boolean Functions.
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. 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, Teichmüller 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. 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. 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. 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.
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.