Shu-Ching Chen

Associate Director & Eminent Scholar Chaired Professor

1998 Ph.D., Electrical & Computer Engineering, Purdue University
1996 M.S., Civil Engineering, Purdue University
1995 MSEE, Electrical Engineering, Purdue University
1992 M.S., Computer Science, Purdue University

Dr. Shu-Ching Chen is an Associate Director and an Eminent Scholar Chaired Professor in the School of Computing and Information Sciences (SCIS), Florida International University (FIU), Miami. He has been a Full Professor since August 2009 in SCIS at FIU. Prior to that, he was an Assistant/Associate Professor in SCIS at FIU from 1999. He received his Ph.D. degree in Electrical and Computer Engineering in 1998, and Master’s degrees in Computer Science, Electrical Engineering, and Civil Engineering in 1992, 1995, and 1996, respectively, all from Purdue University, West Lafayette, IN, USA.

He is the Director of Distributed Multimedia Information Systems Laboratory (DMIS) and the Co-Director of the Integrated Computer Augmented Virtual Environment (I-CAVE). His main research interests include data science, multimedia big data, disaster information management, content-based image/video retrieval, and multimedia systems. Dr. Chen has authored and coauthored more than 320 research papers in journals, refereed conference/symposium/workshop proceedings, book chapters, and four books. Dr. Chen has been the PI/Co-PI of many research grants from NSF, National Oceanic and Atmospheric Administration (NOAA), Department of Homeland Security, Army Research Office, Naval Research Laboratory (NRL), Environmental Protection Agency (EPA), Florida Office of Insurance Regulation, IBM, and Florida Department of Transportation with a total amount of more than 33 millions.

Dr. Chen was named a 2011 recipient of the ACM Distinguished Scientist Award. He received the best paper awards from 2006 IEEE International Symposium on Multimedia and 2016 IEEE International Conference on Information Reuse and Integration. He was awarded the IEEE Systems, Man, and Cybernetics (SMC) Society’s Outstanding Contribution Award in 2005 and was the co-recipient of the IEEE Most Active SMC Technical Committee Award in 2006. He was also awarded the Top Scholar Award from FIU in 2011 and 2012, Inaugural Excellence in Graduate Mentorship Award from FIU in 2006, the University Outstanding Faculty Research Award from FIU in 2004, the Excellence in Mentorship Award from SCIS in 2010, the Outstanding Faculty Service Award from SCIS in 2004 and 2014, the Outstanding Faculty Research Award from SCIS in 2002, 2012, and 2017, and Director’s Special Recognition Award from SCIS in 2016. He is a fellow of IEEE, AAAS, and SIRI.

He has been a General Chair and Program Chair for more than 60 conferences, symposiums, and workshops. He is the Editor-in-Chief of IEEE Multimedia Magazine, founding Editor-in-Chief of International Journal of Multimedia Data Engineering and Management, and Associate Editor/ Editorial Board of IEEE Trans. on Multimedia and IEEE Trans. on Human-Machine Systems. He served as the Chair of IEEE Computer Society Technical Committee on Multimedia Computing. He is Co-Chair of IEEE Systems, Man, and Cybernetics Society’s Technical Committee on Knowledge Acquisition in Intelligent Systems. Dr. Chen also has been a guest editor for more than ten journal special issues. He was a member of three steering committees (including IEEE Transactions on Multimedia) and several panels for conferences and NSF. He also serves/served as a member of technical program committee for more than 360 professional meetings.

Click here to see the full profile

Xudong He


1989 Ph.D., Computer Science, Virginia Tech
1984 MS, Computer Science, Nanjing University
1982 BS, Computer Science, Nanjing University

Dr. He received his BS and MS degrees in computer science from Nanjing University, China in 1982 and 1984 respectively; and his Ph.D. degree in computer science from Virginia Tech in 1989. He has joined FIU in 2000 after spending 10 years on the faculty at North Dakota State University. Dr. He’s research interests are in software engineering, especially formal methods. He is an internationally known expert on Petri nets. He has published 150 papers in international journals and conferences, and served on more than 80 international conference program committees. He serves on the editorial board of the Transactions on Petri Nets and Other Concurrency Models and several other journals. His research has been funded several major federal agencies including NSF, NASA, ONR, AFRL, and DOE. Dr. He has been a major adviser of 14 Ph.D. and 36 MS graduates.

Click here to see the full profile

S. S. Iyengar

Distinguished University Professor, Ryder Professor and Director

2017 Ph.D. (h.c.), Nanjing University of Posts and Telecommunications, China
2010 D.Sc. (h.c.), Techno Global University, India
1974 Ph.D., Eng., Mississippi State University, Mississippi
1970 M.S., Mech. Eng., Indian Institute of Science, Bangalore, India
1968 B.S., Mech. Eng., Bangalore University, Bangalore, India

Learn more about Dr. Iyengar research at Research Commercialization and Impact

Dr. S.S. Iyengar is currently the Distinguished University Professor, 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 Lousiana 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. He has served on the US National Science Foundation and National Institute of Health Panels to review proposals in various aspects of Computational Science and has been involved as an external evaluator (ABET-accreditation) for several Computer Science and Engineering Departments across the country and the world. Dr. Iyengar has also served as a research proposal evaluator for the National Academy of Engineering. Dr. Iyengar is developing computational measures for predicting DNA mutations during cancer evolution, using wavelet analysis in cancer genome research, and designing smart biomarkers for bioremediation.  His inventions have significantly impacted biomedical engineering and medicine. He recently patented a simple, low-cost device for early intervention in glaucoma, and was involved in early detection of lung cancer by developing a 4D motion model jointly with Southwestern Medical School.

Dr. Iyengar is a Member of the European Academy of Sciences, a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Association of Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Society for Design and Process Science (SDPS), a Fellow of National Academy of Inventors (NAI) and Fellow of the American Institute of Medical and Biological Engineering (AIMBE). Dr. Iyengar has been the Chair for many IEEE conferences in the area of Sensor Networks, Computational Biology, Image processing, etc. He is also the founding editor of the International Journal of Distributed Sensor Networks, and he has been on the Editorial Board of many IEEE Journals including Transaction on Computers, Transactions and Data Knowledge Engineering, ACM Computing Surveys etc. Dr. Iyengar continues to be very active in multiple professional conferences and workshops in the areas of his research interest.

He was awarded Satish Dhawan Chaired Professorship at IISc, then Roy Paul Daniel Professorship at LSU. He has received the Distinguished Alumnus Award of the Indian Institute of Science. In 1998, he was awarded the IEEE Computer Society’s Technical Achievement award and is an IEEE Golden Core Member. He also received a Lifetime Achievement award conferred by International Conference on Agile manufacturing at IIT-BHU. Professor Iyengar is an IEEE Distinguished Visitor, SIAM Distinguished Lecturer, and ACM National Lecturer and has won many other awards like Distinguished Research Master’s award, Hub Cotton award of Faculty Excellence (LSU), Rain Maker awards (LSU), Florida Information Technology award (IT2), Distinguished Research award from Tunisian Mathematical Society etc.

During the last four decades, he has supervised over 55 Ph.D. students, 100 Master’s students, and many undergraduate students who are now faculty at Major Universities worldwide or Scientists or Engineers at National Labs/Industries around the world. He has published more than 500 research papers, has authored/co-authored and edited 22 books. His books are published by MIT Press, John Wiley, and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. One of his books titled “Introduction to Parallel Algorithms” has been translated to Chinese. During the last thirty years, Dr. Iyengar has brought in over 65 million dollars for research and education. He has been providing the students and faculty with a vision for active learning and collaboration at Louisiana State University, Florida International University, and across many Universities in China and India. He has received many outstanding Journal and Conference Paper awards with his students.

Read more about Dr. Iyengar research at Research Commercialization and Impact/Awards

In 2006, his paper entitled, A Fast Parallel Thinning Algorithm for the Binary Image Skeletonization, was the most frequently read article in the month of January in the International Journal of High Performance Computing Applications. His innovative work called the Brooks-Iyengar algorithm along with Prof. Richard Brooks from Clemson University is applied in industries to solve real-world applications. Dr. Iyengar’s work has a big impact; in 1988. We discovered “NC algorithms for Recognizing Chordal Graphs and K-trees” [IEEE Trans. on Computers 1988]. This breakthrough result led to the extension of designing fast parallel algorithms by researchers like J.Naor (Stanford), M.Naor (Berkeley), and A.A.Schaffer (AT&T Bell Labs). Professor Iyengar earned his undergraduate and graduate degrees at UVCE-Bangalore and the Indian Institute of Science, Bangalore and a doctoral degree from Mississippi State University. Recently, Dr. Iyengar was awarded the IBM Faculty Award, FIU Top Scholar award, and NRI Gandhi Pravasi Award in London, along with a Medal Of Honor.

Click here to see the full profile

1989 Ph.D., Computer Science, University of Wisconsin-Madison

Dr. Narasimhan is a professor in the School of Computing and Information Sciences (SCIS) at Florida International University (FIU) and is an expert in the area of Algorithms, Bioinformatics, and Data Science. He recently served as the Associate Dean for Research and Graduate Studies in the College of Engineering and Computing. Dr. Narasimhan received a B.Tech. in electrical engineering from the Indian Institute of Technology in Bombay. In 1989 he was awarded a Ph.D. in computer science from the University of Wisconsin, Madison. After being on the faculty in the Department of Mathematical Sciences at the University of Memphis, he joined Florida International University as an associate professor in 2001 and was promoted to full professor in 2004. Dr. Narasimhan heads the Bioinformatics Research Group (BioRG) in SCIS, and is involved in interdisciplinary research collaborating with diverse groups form different disciplines. He has twice won the Excellence in Research Award from SCIS and also the Excellence in Research Award from FIU. He is on the steering committee of the Biomolecular Sciences Institute. He is on the editorial board of international journals and has been a Program Committee member on numerous international conferences. He has given many Keynote addresses at international conferences and is the recipient of many research, training and equipment grants from Federal agencies such as NSF, NIH, and Army Research Office, and State agencies such as the Florida Department of Health, and from the industry.

Click here to see the full profile

1977 Ph.D., in Computer Engineering and Information Sciences, Case Western Reserve University

Immediately after his Ph.D. in Computer Engineering and Information Sciences from Case Western Reserve University in December 1977, Dr. Jai Navlakha joined Florida International University, where he was promoted to the position of Full Professor in September 1987. He served as the Director of the School of Computer Science in three stints: 1988-1992, 1999-2002, and 2009-2011. From 2006 to 2009, he was the Associate Dean of Graduate Studies and the Director of Corporate & Global Programs in the College of Engineering & Computing.

Since 2011, he is the coordinator for internal assessment and ABET accreditation of the BS in CS Program. Under his guidance, the School received its last ABET accreditation in Summer 2017. This Self-Study Report was selected for display of “Well-Prepared Self-Study Reports” at the 2017 ABET Symposium held in April 2017.

His research; in the areas of Program Verification, Analysis of Algorithms, Expert Systems, Neural Network Applications, and Disaster Management; is extensively published in reputed Journals and International Conferences. Currently, he is actively involved in CS education and student mentorship. In March 2018, he taught an intensive one-week self-designed new course on Disaster Informatics at MNIT in Jaipur, India. In May 2018, he was an invited speaker at the NIAS-MAIYA Mentoring Workshop in Bangalore, India.

Click here to see the full profile

Niki Pissinou

Eminent Scholar Chair Professor & Director of Telecommunications and Information Technology Institute

Ph.D., Computer Science, University of Southern California
M.Sc., Computer Science, University of California, Riverside
B.S.ISE, Industrial and Systems Engineering, The Ohio State University

Dr. Pissinou has published over two hundred and fifty research papers in peer reviewed journals, conference proceedings and books 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 awards.

Click here to see the full profile

1984 Ph.D., Computer Science, Tel Aviv University

Dr. Rishe has authored 6 books and edited 7 books on database management, location-based data, health informatics, and high performance computing. He is the inventor of 8 U.S. patents on database querying, semantic database performance, Internet data extraction, and computer medicine. Rishe has authored 300 papers in journals and proceedings on databases, software engineering, Geographic Information Systems, Internet, and life sciences. He was awarded over $55 million in research grants by Government and Industry, including NSF, NASA, IBM, DoI, DHS, USGS. Rishe is the Founder and Director of the High Performance Database Research Center at FIU (HPDRC) and of the NSF International FIU-FAU-Dubna-Greenwich Industry-University Cooperative Research Center for Advanced Knowledge Enablement (I/UCRC). Rishe is the inaugural FIU Outstanding University Professor and Eminent Chair Professor in Computer Science.

Rishe’s principal projects are TerraFly (a 100 TB database of aerial imagery and Web-based GIS) and Medical Informatics.

Rishe’s TerraFly project has been extensively covered by the worldwide press, including the New York Times, USA Today, NPR, Science and Nature journals, and FOX TV News.

More at

Click here to see the full profile

1991 Ph.D., Computer Science, Cornell University

Geoffrey Smith’s current research interests are centered on the foundations of computer security. For the past 20 years he has been particularly interested in techniques for controlling the leakage of sensitive information by computer systems. Notable accomplishments include the first type systems for guaranteeing noninterference, quantitative leakage bounds for timing attacks against cryptography, and the g-leakage model of quantitative information flow. He is an author of the forthcoming book The Science of Quantitative Information Flow, which will be published by Springer (

He completed his Ph.D. in Computer Science at Cornell University in 1991. Since 1994, he has been at Florida International University, where he is a Professor in the School of Computing and Information Sciences. He has held recent visiting appointments at the École Polytechnique (France), IMDEA Software (Spain), and Macquarie University (Australia), and he is a member of IFIP Working Group 1.7. He was named an ACM Distinguished Scientist in 2013, and he is an author of the 2014 paper “Additive and multiplicative notions of leakage, and their capacities”, which was named the winner of the NSA’s third annual Best Scientific Cybersecurity Paper Competition.

Click here to see the full profile

Mark Allen Weiss

Eminent Scholar Chaired Professor and Associate Dean for Undergraduate Education, College of Engineering and Computing

1987 Ph.D., Computer Science, Princeton University
1985 M.A., Computer Science, Princeton University
1984 M.S., Electrical Engineering and Computer Science, Princeton University
1983 B.E., Electrical Engineering (Summa Cum Laude), The Cooper Union for the Advancement of Science and Art, NY

Mark Allen Weiss is an Eminent Scholar Chaired Professor of Computer Science and Associate Dean for Undergraduate Education in the College of Engineering and Computing at Florida International University in Miami Florida.

He received his Bachelor’s Degree in Electrical Engineering from The Cooper Union in 1983, and his Ph.D. in Computer Science from Princeton University in 1987, working under Bob Sedgewick. He has been at FIU since 1987 and was promoted to Professor in 1996. His interests include data structures, algorithms, and education, and he is most well-known for his highly-acclaimed Data Structures textbooks, which have been used at hundreds of universities worldwide. From 1997-2004 he served as a member of the Advanced Placement Computer Science Development Committee, chairing the committee from 2000-2004.  Dr. Weiss is an IEEE Fellow, AAAS Fellow, and ACM Distinguished Educator. He is the recipient of the 2015 SIGCSE Award for Outstanding Contribution to Computer Science Education and 2017 IEEE Taylor Booth Education Award.

Click here to see the full profile