Image Processing, Neuroimaging, Machine Learning and Assistive Technology
See more about Dr.Adjouadi here: Malek Adjouadi – People – ECE – Florida International University – FIU
Dr. Kemal Akkaya is a full professor in the Department of Electrical and Computer Engineering with a joint courtesy appointment in the School of Computer and Information Sciences at Florida International University. Dr. Akkaya leads the Advanced Wireless and Security Lab (ADWISE) in the ECE Dept. His current research interests include security and privacy, internet-of-things, and cyber-physical systems. In this research he employs methods from machine learning to several specific problems. Mainly, machine learning and deep learning methods are used for digital forensics applications including multimedia and cryptocurrency forensics. Similar techniques are used for device fingerprinting such as drones. Dr. Akkaya also utilizes machine learning and data analytics for blockchain applications to analyze any transactions. Finally, Dr. Akkaya employs secure multi-party computation techniques for enabling privacy-preserving machine learning applications.
See more about Dr. Akkaya here: Dr. Kemal Akkaya (fiu.edu)
Machine learning and Optimization Algorithms, Distributed Algorithms, Federated Learning, Sensor Networks, Interdependent Networks, Critical Infrastructure Resilience
M. Hadi Amini is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences at Florida International University. He is the director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network). 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 distributed optimization and learning algorithms, distributed computing and intelligence, sensor networks, interdependent networks, and cyber-physical-social resilience. Application domains include smart cities, energy systems, transportation electrification, and healthcare. His research on federated learning and optimization algorithms, and their applications has received over $1M funding from several funding agencies as of February 2022.
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; and as technical program committee of several IEEE and ACM conferences. He also serves as Associate Editor of multiple journals, including Data Science for Communications (Frontiers in Communications and Networks). He has published more than 100 refereed journal and conference papers, and book chapters. He edited/authored eight books. He is the recipient of the best paper award from “2019 IEEE Conference on Computational Science & Computational Intelligence”, 2021 best journal paper award from “Springer Nature Operations Research Forum Journal”, 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.
See more about Dr.Amini here: www.hadiamini.com
Digital Signal Processing, Artificial Neural Networks, Image Processing, and Micro Processors
Armano Barreto Graduated with a Bachelors Degree in Electrical-Mechanical Engineering from the National Autonomous University of Mexico (UNAM ), in 1987. He obtained the M.S.E.E. Degree from Florida International University in August 1989 and the Ph.D. In Electrical Engineering from University of Florida , Gainesville, in May 1993. Then he spent one more year in Gainesville as a Post-Doctoral Associate with the Computational Neuro-Engineering Laboratory ( CNEL) / UF Brain Institute. Through his Ph. D. and Post-Doc studies he applied Spatio-Temporal DSP techniques to the real-time detection of specific (abnormal) features in multi-channel Electroencephalogram (EEG) Data
See more about Dr. Barreto here: DSP (fiu.edu)
Applied Machine Learning
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. 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.
Mobile Robotics, Planning Algorithms, Cyber-Physical Systems
Dr. Leonardo Bobadilla (FIU) is currently an Assistant Professor in the Knight Foundation 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.
See more about Dr.Bobadilla here: Leonardo Bobadilla (fiu.edu)
View Dr.Bobadilla projects here: Prof. Leonardo Bobadilla Projects
Security, Privacy, and Distributed Systems
Bogdan Carbunar is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at FIU, and directs the Cyber Security and Privacy Research (CaSPR) Lab, where he develops secure and usable systems. His research interests are at the intersection of security, privacy and distributed systems, where he derives novel insights through the use of machine learning, applied cryptography and user studies. His recent interests include fraud and abuse detection in online systems (e.g., Google, Facebook, Yelp), mobile authentication and cryptocurrency-based censorship resistance. He has published papers in top tier conferences and journals (see link above for details) some of which have received best paper awards. He holds a PhD in computer science from Purdue University and a BS from Politehnica University Bucharest.
See more about Dr.Carbunar here: Bogdan Carbunar (fiu.edu)
Microbiome, GPU computing, Network Analysis
Dr. Trevor Cickovski received his Ph.D. from the University of Notre Dame in 2008. He holds Graduate Faculty status and specializes in teaching hardware and Unix coursework, and is IRB-certified and a member of the Bioinformatics Research Group (BioRG) at FIU. He also is a member of the ACM, IEEE, and the National Learning Assistant Alliance (LAA). He has received funding from NIJ (epigenetics), and NSF (machine learning and Covid-19 vaccine discovery). Trevor is lead software developer of PluMA, facilitating natural progress by allowing construction of new ideas as plugins in a choice programming language.
Trevor is passionate about health and explores roles played the microbiome in maintaining homeostasis. Microbiomes have enormous influence given their ubiquity and involvement in host metabolic reactions. He has explored connections with ADHD, A1AD, COPD, smoking, and red tides using multi-omics approaches that integrate DNA, RNA and metabolites through large-scale processing, GPUs, and network analyses. He has several peer-reviewed publications including JMM, LNBI, Bioinformatics, BMC, ICCABS, IWBBIO, and ACM TCBB. He has received funding from NIJ (epigenetics), and NSF (machine learning and Covid-19 vaccine discovery). Trevor is lead software developer of PluMA, facilitating natural progress by allowing construction of new ideas as plugins in a choice programming language. These can be uniformly tested alongside other plugins and committed to a centralized plugin pool. The PluMA plugin pool has grown from 70 to 225+ plugins from 2019 to 2020, and continues to grow.
See more about Dr. Cickovski here: Trevor Cickovski’s Webpage (fiu.edu)
Natural Language Processing, Artificial Intelligence, Neural Networks
Dr. Mark A. Finlayson is an Eminent Scholar Chaired Associate Professor of Computer Science in the Knight Foundation 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 2019-2021 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.
See more about Dr. Finlayson here: Mark A. Finlayson (fiu.edu)
View Dr. Finlayson’s projects here: Prof. Mark Finlayson Projects
Robert Hacker is the Co-founder and Director of StartUP FIU, where he focuses on commercializing faculty research in emerging technologies and curriculum innovation. He is a professor in the Honors College at FIU and he previously taught at MIT Sloan. He teaches courses in social entrepreneurship, mental frameworks in decision making and the Fourth Industrial Revolution. He previously was the COO/CFO of One Laptop per Child, an international social venture started at the MIT Media Lab. He also built a billion dollar publicly-traded company in Indonesia. He is the author of two books on entrepreneurship.
See more about Prof. Hacker here: Robert H. Hacker – StartUP FIU
Computational Sensor Networks, Parallel and Distributed Algorithms and Data Structures, Software for Detections of Critical Events, Autonomous Systems and Distributed Systems
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.
See more about Dr. Iyengar here: Dr. S.S. Iyengar (fiu.edu)
Empirical system security and privacy, Malware Detection, Code Analysis, and Web and Browser Security
Dr. Amin Kharraz research focuses on building systems to facilitate a data-driven approach to security. The primary goal of Dr. Amin is to apply this methodology to rigorously analyze the behavior of online attacks and facilitate developing platforms to discover and mitigate these attacks in a scalable and reliable manner. The problems that Dr. Amin tackles often involve the intersection of society, technology, and security.
See more about Dr. Kharraz here: Amin Kharraz – Research in Systems Security
View Dr. Kharraz’s projects here: Prof. Amin Kharraz Projects
Human-Certified Artificial Intelligence, Virtual Social Agents, Human-Computer Interaction (HCI), Affective Computing, and Virtual Reality
Dr. Christine Lætitia Lisetti is an Associate Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University, and the director of the Affective Social Computing Laboratory (ascl.cs.fiu.edu). She received her Ph.D. in computer science from Florida International University in 1995, and in 1996 she was awarded the Individual Research Award from the National Institute of Health (NIH) to conduct her Post-Doctoral Fellowship at Stanford University, jointly in computer science and psychology. She joined FIU from ENST/Sophia, France where she was a professor, and was previously an assistant professor in the Computer Science Department at the University of Central Florida.
Dr. Lisetti’s work on affective social computing aims at creating digital and engaging socially intelligent agents that can interact naturally with humans via expressive multi-modalities in a variety of contexts involving socio-emotional content. Her interests involve research on virtual characters for health communication and behavior change. While in Europe, her research was supported by grants from the European Commission (EC), EUREKA Information Technology for European Advancement (ITEA), the Provence-Alpes Cote d’Azur (PACA) Regional R&D Program, and ST Microelectronics. Dr. Lisetti has received funding from Interval Research Corporation, Intel Corporation, Vcom3D, as well as from Federal funding agencies including the Office of Naval Research (ONR), US Army STRICOM, NASA Ames, the National Institute of Health (NIH), and the National Science Foundation (NSF).
See more about Dr.Lisetti here: Christine Lisetti – Home (fiu.edu)
Modeling and Simulation, Parallel Discrete-Event Simulation, Performance Modeling and Simulation of Computer Systems and Computer Networks
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.
See more about Dr. Liu here: Home Page – Jason Liu (fiu.edu)
Big Data Analytics, Machine Learning with Special Interest in Deep Learning, and Bioinformatics.
Dr. Ananda Mohan Mondal is currently an Assistant Professor in the Knight Foundation 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.
See more about Dr. Mondal here: Home – Ananda Mondal (fiu.edu)
Algorithms, Bioinformatics, and Data Science
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.
See more about Dr. Narasimhan here: Prof. Giri Narasimhan (fiu.edu)
View Dr. Narasimhan’s projects here: Prof. Giri Narasimhan Projects
Machine learning, Artificial intelligence
Cuong Nguyen is an Assistant Professor of the Knight Foundation School of Computing and Information Sciences, Florida International University. Before joining FIU, he was an Applied Scientist at Amazon Web Services (AWS) from 2018-2021, working on machine learning with applications to computer vision and natural language processing. Before AWS, he was a postdoc at the Department of Industrial Systems Engineering, National University of Singapore from 2015-2016 and then at the Department of Engineering, Cambridge University from 2016-2018. He received Bachelor and PhD degrees in Computer Science from the School of Computing, National University of Singapore in 2010 and 2015 respectively. His research interests include probabilistic machine learning and artificial intelligence, with applications to real-world problems in computer vision and natural language processing. He has regularly published at top conferences and journals in machine learning and artificial intelligence, including the Conference on Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), the AAAI Conference on Artificial Intelligence (AAAI), and the Journal of Machine Learning Research.
See more about Dr.Nguyen here: Cuong V. Nguyen
Augmented Reality based Networks, Internet of Things
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. Agoritsa Polyzou is an Assistant Professor of Computer Science in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU). Before joining FIU, she was a postdoctoral Fritz family fellow in the Massive Data Institute (MDI) of McCourt School of Public Policy at Georgetown University. She received her Ph.D. in Computer Science and Engineering from the University of Minnesota in 2020, and her Bachelor in Computer Engineering and Informatics from the University of Patras, Greece. She is engaging in projects at the intersection of big data, machine learning, ethics, and fairness. Her research interests include data mining, recommender systems, the application of machine learning techniques within educational contexts, and the fairness concerns that arise from their use. Her goal is to help students succeed using data and machine learning models. At the same time, she is interested in ensuring that such models will be fair and responsible.
Distributed Sensor Networks, Grid Computing, Computer Networks, Image Processing for Spatial Data, Multimedia Databases
Dr. Prabakar developed a scheme to access vast amount of spatial data from a semantic database and flyover the data in real-time – this emerged as TerraFly software from High Performance Database Research Center, FIU. He has also designed dynamic mosaicking algorithms for spatial images and integrated vector GIS data with spatial data sets. Towards external funding, eight grant proposals were funded for a total amount of $13.7M with Dr. Prabakar’s role in these proposals as Principal Investigator, Co-Investigator, or Senior Investigator. Currently, Dr. Prabakar is working with a team of his colleagues on a fault-tolerant distributed computing grid with large number of sensors.
See more about Dr. Prabakar here: Prabu’s Home Page (fiu.edu)
Raju Rangaswami is Eminent Scholar Chaired Professor at the Knight School of Computing and Information Sciences at Florida International University in Miami, FL where he directs the Systems Research Laboratory. He received his B.Tech. degree in Computer Science from the Indian Institute of Technology, Kharagpur, and a Ph.D. degree in Computer Science from the University of California, Santa Barbara where he worked on building real-time storage systems for streaming multimedia applications. Raju’s current research targets next-generation enterprise and cloud computing systems with a focus on building scalable storage and memory solutions for data-intensive workloads. Raju has served as Program Chair for top storage research venues such as USENIX FAST and USENIX HotStorage. He has received CAREER awards from the National Science Foundation and the Department of Energy for his work on storage systems. His research is supported by awards and gifts from industry including an IBM Faculty Award, Intel ISRA award, NetApp Faculty Fellowships, and a Seagate Corporation gift. He has received the FIU Faculty Award for Excellence in Research and Creative Activities.
See more about Dr. Rangaswami here: Raju Rangaswami (fiu.edu)
View Dr. Rangaswami’s projects here: Prof. Raju Rangaswami Projects
Aquatic Robots, Persistent Ocean Monitoring, Artificial Intelligence
Dr. Gregory Murad Reis received his Ph.D. degree in Computer Science at Florida International University in 2018, and his Master’s degree in Systems Engineering and his Bachelor’s degree in Computer Science from Federal University of Lavras, Brazil, in 2014 and 2012, respectively.
He completed his Ph.D. as a Science without Borders fellow, sponsored by federal agencies NSF, ONR, CAPES, and LASPAU (Harvard University).
With 19 years of experience in teaching, Dr. Reis has taught Mathematics and Computer Science courses for several undergraduate programs and schools. Moreover, he has experience in early, elderly and special education. In his career, Gregory has mentored over fifty students, including high school teachers and undergraduate and master’s students in several programs, such as Science without Borders’s Summer Research Program, NSF’s Research Experience for Undergraduates (REU) and NSF’s Research Experience for Teachers (RET).
Gregory has published several papers in conferences and journals. His current research interests are centered on the challenges of marine robotics and STEM Education. Key problems he has addressed so far include localization and navigation of aquatic robots in GPS-denied environments, analysis of the spatiotemporal dynamics of the ocean, and the development of new technologies for environmental monitoring.
Gregory has also served as the Robotics Coach for the Ultimate Software Academy for Computer Science Education for over 4 years, teaching professional development courses in robotics and coding for K-12 teachers in the Miami-Dade County Public Schools (M-DCPS). He is currently transforming the K-12 curriculum by including project-based robotics activities and competitions.
See more about Dr. Reis here: Gregory Reis
View Dr. Reis’ projects here: Prof. Gregory Murad Reis Projects
Geographic Information Systems, Database Management, Health Informatics
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.
See more about Dr. Rishe here: Dr. Naphtali David Rishe (fiu.edu)
Parallel Algorithms, Big Data, HPC, and Computational Systems Biology
Fahad Saeed is a tenured Associate Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU), Miami FL and is the director of Saeed Lab which is a parallel computing and data science group (https://saeedlab.cis.fiu.edu/). His research interests include parallel and distributed algorithms and architectures, computational proteomics, genomics, connectomics and big data problems in computational biology and bioinformatics.
Prior to joining FIU, Prof. Saeed was an Assistant Professor (2014-2018) in the Department of Electrical & Computer Engineering and Department of Computer Science at Western Michigan University (WMU), Kalamazoo Michigan. He was tenured and promoted to the rank of Associate Professor at WMU in July 2018. Dr. Saeed was a Post-Doctoral Fellow and then a Research Fellow in the Systems Biology Center at National Institutes of Health (NIH), Bethesda MD from Aug 2010 to January 2014. He received his PhD in the Department of Electrical and Computer Engineering, University of Illinois at Chicago (UIC) in 2010.
See more about Dr.Saeed here: About me – Dr. Fahad Saeed
Smart Grids, Large-Scale Data Analysis, Advance Metering Infrastructure, Smart City Infrastructure and Cybersecurity
Dr. Arif Sarwat is a professor in the department of Electrical and Computer Engineering and also the Director of FIU-FPL Solar Research Center. Dr. Sarwat received his master’s degree from University of Florida, Gainesville, his Ph.D. from University of South Florida, Tampa and currently leads The Energy, Power and Sustainability Group at FIU. Dr. Sarwat’s research interests include smart grids, Plug-in Hybrid and Electric Vehicle (PHEV & EV Systems), high penetration renewable systems, grid resiliency, large-scale data analysis, advance metering infrastructure, smart city infrastructure and cybersecurity. His outstanding contribution led him to become the recipient of NSF Career Award in 2016 and multiple federal and industry research awards. He was the author/co-author of conference best paper awards at the resilience week in 2017 and a journal best paper award in 2016 from Modern Power Systems and Clean Energy journal. Dr. Sarwat worked at Siemens for more than nine years, winning three recognition awards. He is chair of IEEE Miami Section VT and Communication since 2012.
See more about Dr. Sarwat here: Arif Sarwat – People – ECE – Florida International University