Professor

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.

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 a former Director of the Knight Foundation 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. Dr. Iyengar was honored by the Institute of Electrical and Electronics Engineers’ (IEEE) Cybermatics Congress in Atlanta, Georgia, where he received the Outstanding Research Award known as the “Test of Time Award” for his work in creating the Brooks-Iyengar Algorithm (2019).

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.

Jason Liu is an Eminent Scholar Chaired Professor at the Knight Foundation School of Computing and Information Sciences, Florida International University (FIU) in Miami, Florida, USA.  Previously, he was a Research Scientist at Dartmouth ISTS in 2003, a Postdoctoral Researcher at University of Illinois, Urbana-Champaign during 2003-2004. He held a honorary position as Visiting Professor at Tsinghua University, China, and was a Visiting Scientist at Los Alamos National Laboratory (LANL) and Université Pierre et Marie Curie (UPMC)/Laboratory of Information, Networking and Communication Sciences (LINCS). Jason Liu received a B.S. degree from Beijing University of Technology in China in 1993, an M.S. degree from College of William and Mary in 2000, and a Ph.D. degree from Dartmouth College in 2003.

Jason Liu’s research focuses on modeling and simulation, parallel discrete-event simulation, performance modeling and simulation of computer systems and computer networks. He currently serves on the Editorial Board of ACM Transactions on Modeling and Computer Simulation (TOMACS), SIMULATION, Transactions of the Society for Modeling and Simulation International, and IEEE Networking Letters. He is also on the Steering Committee of ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS). He served as General Chair or Program Chair for several conferences in related areas. Jason Liu is an NSF CAREER awardee in 2006 and an ACM Distinguished Scientist in 2014. His research has been supported by various funding agencies, including NSF, DOE, DOD, DHS, and NIH.

Dr. Narasimhan is a professor in the Knight Foundation School of Computing & Information Sciences 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 Knight Foundation School of Computing & Information Sciences, 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.

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.

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.

Dr. Christian Poellabauer is a Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. He received his Ph.D. from the Georgia Institute of Technology in 2004 and worked as Assistant, Associate, and Full Professor in the Computer Science and Engineering Department at the University of Notre Dame from 2004 to 2021. At Notre Dame, he also served as Associate Director of the Lucy Family Institute for Data and Society and Founding Director of the Applied Analytics and Emerging Technologies Lab. At FIU, he directs the MOSAIC (Mobile Sensing and Analytics) Lab, which focuses on developing novel personal, social, and crowdsensing solutions in a variety of application domains, primarily in the healthcare field. Notable outcomes of his lab’s research include the development of various solutions using mobile devices, wearables, and virtual assistants for the diagnosis of concussions, the rehabilitation progress of amputees and stroke survivors, the monitoring of the progression of neurological conditions, and the detection of depression in college students and PTSD in first responders. Other areas of interest include wireless/sensor/vehicular networks, the Internet-of-Things, and edge computing based AI solutions, just to name a few. He also has strong interest in assisting with students with startup efforts and he is a strong advocate for the early inclusion of undergraduate and high school students in hands-on research projects. He was named a Fulbright Scholar in 2018 and he has co-authored a textbook on Wireless Sensor Networks, which has been translated into Chinese and Persian. His research efforts have been supported by organizations such as the NIH, NSF (including a 2006 CAREER award), Department of Education, and DoD, and numerous private organizations and businesses such as IBM, Toyota, Ford Research, the National Football League, National Geographic, GE Health, Motorola Labs, among others.

Raju Rangaswami received a B.Tech. degree in Computer Science from the Indian Institute of Technology, Kharagpur, India. He obtained M.S. and Ph.D. degrees in Computer Science from the University of California at Santa Barbara where he was the recipient of the Dean’s Fellowship and the Dissertation Fellowship. Raju is currently an Associate Professor of Computer Science at Florida International University where he directs the Systems Research Laboratory. His research interests include operating systems, storage systems, persistent memory, virtualization, and security. He is a recipient of the NSF CAREER award, Department of Energy Early CAREER Principal Investigator (ECPI) award, IBM Faculty Award 2011, Intel ISRA award, NetApp Faculty Fellowship 2011, and the FIU Faculty Award for Excellence in Research and Creative Activities 2011.

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 http://cake.fiu.edu/Rishe

Mark Allen Weiss is Distinguished University Professor in the Knight Foundation School of Computing and Information Sciences and Associate Dean for Undergraduate Education of the College of Engineering and Computing at Florida International University. He also serves as Interim Founding Director of the School of Universal Computing, Construction, and Engineering EDucation (SUCCEED) having previously served for nine years as Associate Director of the School of Computing and Information Sciences. 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, after which he joined FIU. His interests include data structures, algorithms, and education. He is most well-known for his highly-acclaimed Data Structures textbooks, which have been used by a generation of students.

Professor Weiss is the author of numerous publications in top-rated journals and was the recipient of the University’s Excellence in Research Award in 1994. From 1997-2004 he served as a member of the Advanced Placement Computer Science Development Committee, chairing the committee from 2000- 2004. The committee designed the curriculum and wrote the AP exams that are now taken by 60,000 high school students annually.

Dr. Weiss’ work has received over 2,000 citations according to Google Scholar. In addition to his Research Award, Professor Weiss is the recipient of the University’s Excellence in Teaching Award. He is a three-time winner of FIU’s Top Scholar Award, a four-time winner of the internal competition for nomination as US Professor of the Year, and recipient of the 2017 FIU Torch Award. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and American Association for the Advancement of Science (AAAS), and an ACM Distinguished Educator. He is the recipient of the 2015 ACM SIGCSE Award for Outstanding Contribution to Computer Science Education, the 2017 IEEE Computer Society Taylor L. Booth Education Award, and the 2018 IEEE Education Society William E. Sayle Achievement in Education Award.