Image Processing, Neuroimaging, Machine Learning and Assistive Technology

See more about Dr.Adjouadi here: Malek Adjouadi – People – ECE – Florida International University – FIU

IoT Security

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)

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)

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)

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)

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)

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