Co-Director, Professor, Intel Charles E. Young Preeminence Endowed Chair Professor
Hardware Security and Trust, Electronics Supply Chain Security, Counterfeit IC Detection and Prevention, and Reliable Circuits and Systems Design.
Mark M. Tehranipoor is currently the Intel Charles E. Young Professor in Cybersecurity at the University of Florida. Prior to joining University of Florida, Dr. Tehranipoor served as the founding director of the Center for Hardware Assurance, Security, and Engineering (CHASE) and the Comcast Center of Excellence in Security Innovation (CSI) at the University of Connecticut. He also co-founded a new IEEE International Symposium on Hardware-Oriente Security and Trust (HOST) and the Trust-HUB forum.
Co-Director, Professor, John and Mary Lou Dasburg Preeminent Chair in Engineering
Security of Mobile Systems with a concentration on Telecommunications Infrastructure and Mobile Devices, Internet security, Applied cryptography.
Patrick Traynor is an Associate Professor in the Department of Computer and Information Science and Engineering (CISE) a the University of Florida. Dr. Traynor earned his Ph.D and M.S. in Computer Science and Engineering fro Pennsylvania State University in 2008 and 2004, respectively, and his B.S. in Computer Science from the University of Richmond in 2002. After promotion and tenure in the School of Computer Science at Georgia Tech, he joined the University of Florida in 2014 as part of the UF Rising Preeminence Hiring Program.
Education Director, Professor
Hardware Security and Trust, Adaptive Nano-Computing and Novel Test Methodologies.
Swarup Bhunia is a Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Florida. Dr. Bhunia received his B.E. (Hons.) from Jadavpur University, Kolkata, India, M.Tech. from the Indian Institute o Technology (IIT), Kharagpur, and Ph.D. from Purdue University, IN, USA. He currently leads research effort in Nanoscape, the nanocomputing research laboratory at the University of Florida.
Diversity Director, Associate Professor
Interdisciplinary Computer Security, employing biology and warfare strategies to protect OS kernels, and understanding the nature of software vulnerabilities and social engineering attacks.
Daniela Oliveira received her BS and MS degree in Computer Science from the Federal University of Minas Gerais in Brazi in 1999 and 2001, respectively. After working as a software engineer for three years, she started her Ph program at the Department of Computer Science at the University of California, Davis. In June 2010, she receive her PhD in Computer Science from the UC Davis, where she specialized in computer security and operating systems.
SCAN Lab Assistant Director, Assistant Professor
Counterfeit detection and prevention, system and chip level reverse engineering, anti reverse engineering, nano-imaging
Dr. Navid Asadizanjani is currently an Assistant Research Professor at the Florida Institute for Cybersecurity (FICS). H completed his Ph.D. in mechanical engineering from University of Connecticut in summer 2014 and continue his research as Post-doctoral fellow at UConn CHASE prior to this position. He investigates the novel technique for integrated circuits counterfeit detection and prevention, System and chip level reverse engineering, Anti reverse engineering, etc. His results are published in several journals and conferences. He has receive several awards during his PhD such as, ISFA best paper award and D.E. Crow innovation prize.
SCAN Lab Director, Assistant Professor
Hardware Security, Hardware Trojan Detection and Prevention, Security of the Electronics Supply Chain, Reverse Engineering, and Anti-Reverse Engineering.
Domenic Forte is an Assistant Professor in the Department of Electrical and Computer Engineering. He received a PhD in Electrica and Computer Engineering from the University of Maryland in 2013. Before coming to the University of Florida, Dr. Forte was also an assistant professor in the Electrical and Computer Engineering (ECE) Department a the University of Connecticut. He is co-author of the book “Counterfeit Integrated Circuits- Detection an Avoidance.”
Security of Computer Systems, Storage, and Networks
Kevin Butler is an Associate Professor in the Department of Computer and Information Science and Engineering (CISE) at the University of Florida. He is the recipient of an NSF CAREER award and has been extensively involved in technical conference organization, including chairing the ACSAC conference.
Cryptography, with an emphasis on the theory and practice of hash functions, Authenticated Encryption, and other symmetric-key primitives.
Tom Shrimpton is an associate professor in the Department of Computer & Information Science & Engineering at the University of Florida. Recently, he has worked more broadly in applied cryptography. In 2009, Dr. Shrimpton was the recipient of a National Science Foundation CAREER award.
Damon L. Woodard
Biometrics / Identity Science, Machine Learning Based Cyber Security, Signal / Image Analysis.
Dr. Woodard received his Ph.D. in Computer Science and Engineering from the University of Notre Dame in 2005, his M.E. in Computer Science and Engineering from Penn State University in 1999, and his B.S. in Computer Science an Computer Information Systems from Tulane University in 1997. He is currently an Associate Professor in the Department of Electrical and Computer Engineering. He is also a founding member of the Center of Advanced Studies in Identity Science (CASIS), which is the Office of the Director National Intelligence’s (ODNI) first science and technology-based Center of Academic Excellence (CAE).
Computer networks, Internet security, wireless communications, and distributed computing.
Dr. Shigang Chen is a Professor with Department of Computer and Information Science and Engineering at University of Florida. His research interests include computer networks, Internet security, wireless communications, and distributed computing. He published more than 190 peer-reviewed journal/conference papers. He holds University of Florida Research Foundation (UFRF) Professorship and University of Florida Term Professorship from 2017 to 2020. He is a Fellow of IEEE, an ACM Distinguished Member, and a Distinguished Lecturer of IEEE Communication Society.
Natalie C. Ebner
Usable Security, Social Engineering
An Assistant Professor in the Department of Psychology in the College of Liberal Arts and Sciences at University of Florid (UF). She holds an adjunct faculty position in the Department of Aging & Geriatric Research in the College of Medicine at UF and also affiliated with the Institute on Aging and the McKnight Brain Institute on campus. She is currently working on human factors on security/usable security: Defend Internet user against socia engineering, cue developers about security blind spots in APIs.
Yuguang ‘Michael’ Fang
Cybersecurity, cognitive radio networks, smart grid and energy management, as well as wireless network and mobile computing.
Dr. Fang is a Professor in the Department of Electrical and Computer Engineering where he founded and directs the Wireless Networks Laboratory (WINET) and participates in the Wireless Information Networking Group (WING), which supports theoretical and experimental research on wireless communication systems and networks. In 2015, he was elected as an AAAS Fellow by the America Association for the Advancement of Science for his distinguished research and contributions to the field of electrical and computer engineering, particularly for wireless network design and cybersecurity.
Renato J. Figueiredo
Virtualization, Distributed Systems, Overlays and Security in the context of Virtualized Environments
Renato J. Figueiredo is an Associate Professor at the Department of Electrical and Computer Engineering of the University of Florida. He has co-chaired the technical programs of the ICAC-2010 and HPDC-2013 conferences. Dr. Figueiredo’s research has contributed to systems that were among the first to apply resource virtualization technique in the context of Grid and cloud computing, including In-VIGO, IPOP, and Grid Appliance.
Juan E. Gilbert
CISE Department Chair, Andrew Banks Family Preeminence Endowed Professor
Human Centered Computing (HCC) , Natural Interactive Systems (NIS), Advanced Learning Technologies/ Intelligent Tutoring Systems, voting technologies, and data analytics.
Dr. Juan E. Gilbert is the Andrew Banks Family Preeminence Endowed Professor and Chair of the Computer & Information Science & Engineering Department at the University of Florida where he leads the Human Experience Researc Lab (HXRL). His research focuses on Human-Centered Computing (HCC) which integrates people, technology, information, policy, culture and more to address societal issues. The goal of his research is to design, implement an evaluate innovative solutions to real world problems. He received his Ph.D. and M.S. in Computer Science from the University of Cincinnati and his B.S. in Systems Analysis from Miami University in Ohio.
Security & Trust, Revers Engineering, Hardware Security
Yier Jin is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University o Central Florida. Dr. Jin’s research has focused on developing methods for ensuring security and trustworthines of integrated circuits and systems and has contributed several key solutions in the area of trusted hardware, including hardware IP/SoC Formal Verification, Security Enhanced Processor Architectures for Cybersecurity, Gate-Level Netlist Reverse Engineering, Emerging Devices in Hardware Security, and Smart Device Hacking an Security Protection.
Xiaolin (Andy) Li
Cloud Computing, Big Data, Deep Learning, Intelligent Platforms, HPC, IoT, and Security & Privacy (S&P)
Dr. Xiaolin (Andy) Li is a Professor and University Term Professor in Department of Electrical and Computer Engineering (ECE) and Department of Computer & Information Science & Engineering (CISE, affiliated) at University of Florida (UF). His research interests include Cloud Computing, Big Data, Deep Learning, Intelligent Platforms, HPC, and Security & Privacy for Health, Precision Medicine, CPS/IoT, Science, Engineering, and Business. He has published over 100 peer-reviewed papers in journals and conference proceedings, 5 books, and 4 patents (three licensees). His team has created many software systems and tools. He is the founding Director of Large-scale Intelligent Systems Laboratory (Li Lab) and the founding Director of National Science Foundation Center for Big Learning (CBL) with UF, CMU, U. Oregon, and UMKC. His research has been sponsored by National Science Foundation (NSF), National Institutes of Health (NIH), Department of Homeland Security (DHS), and others. He is a recipient of the National Science Foundation CAREER Award in 2010, the Internet2 Innovative Application Award in 2013, NSF I-Corps Top Team Award (1 out of 24 teams, including Berkley, Harvard, and MIT) in 2015, Top Team (DeepBipolar) in the CAGI Challenge on detecting bipolar disorder in 2016, and best paper awards (IEEE ICMLA 2016, IEEE SECON 2016, ACM CAC 2013, and IEEE UbiSafe 2007).
Analog/Mixed Signal IC Design
An Assistant Professor at ECE department of University of Florida. His main area of research is analog/mixed-signal IC design and includes designing high performance analog-to-digital converters (ADC), digital-to-analog converter (DAC), phase-locked-loops (PLL), low power regulators (LDOs) and other mixed-signal circuits and systems.
Embedded Systems, Energy-Aware Computing, Hardware Security and Trust, System Validation and Verification, Reconfigurable Architectures and Post-Silicon Debug.
Prabhat Mishra is an Associate Professor in the Department of Computer and Information Science and Engineering (CISE) a the University of Florida, where he leads the CISE Embedded Systems Lab. He received his B.E. from Jadavpu University, Kolkata in 1994, M.Tech. from the Indian Institute of Technology, Kharagpur in 1996, and Ph.D. from the University of California, Irvine in 2004 -all in Computer Science and Engineering. Prior to joining University of Florida, he spent several years in various companies including Intel, Motorola, Synopsys an Texas Instruments.
Richard E. Newman
Security, Distribute Systems, and Computer Networking.
Richard E. Newman is an Assistant Professor of Computer & Information Science & Engineering at the University o Florida. He has taught classes in computer and network security, cryptography, cryptographic protocols, anonymity, operating systems, computer networks, algorithms, formal languages and computation theory, computational complexity, distributed operating systems, and powerlined communications. Dr. Newman has received over $ million in grants and contracts and published over 80 technical papers. He is a member of the IEEE and it Computer Society, and of the ACM.
Joseph N. Wilson
Programming Languages, Machine Learning, Cyber Security
Joseph N. Wilson is an Assistant Professor in the Department of Computer and Information Science and Engineering. His primary goal is to help our next generation of graduates avoid designing and writing malware-ready programs. He i the holder of the GPEN (Penetration Tester), GXPN (Exploit Research and Advanced Penetration Tester), an GWAPT (Web Application Penetration Tester) GIAC Certifications.
Dapeng Oliver Wu
Networking, communications, signal processing, computer vision, machine learning, smart grid, and information and network security.
Dr. Wu is a Professor in the Department of Electrical & Computer Engineering and the Department of Computer and Information Science and Engineering. He obtained his Ph.D. degree in Electrical & Computer Engineering from Carnegie Mellon University, Pittsburgh, PA in 2003. He is director of UF’s Multicol-12 col-sm-5 col-md-3 Communications and Networking Laboratory (MCN) and is also affiliated with Wireless Information Networking Group (WING) and the Genetic Institute at UF. His most recent research projects included work on topics such as Large-Scale Real Hybrid Network Emulator and Large-Scale Power Grid Communication Networks.
Electronic Communications Laboratory Director, Research Associate Scientist at UF
FGPA-based and DSP-based signal processors for radar applications, prototype waveform generation.
Mr. Overman is the Director at the Electronic Communications Laboratory and a Research Associate Scientist within the Electrical and Computer Engineering Department at the University of Florida. He received his M.S.E.E. from the University of Florida in 2001. He is currently Principal Investigator for Army projects developing radar simulations; FGPA-based and DSP-based signal processors for radar applications; and prototype waveform generation, data acquisition, transceiver, and signal processing hardware. He has eighteen years of experience in radar and digital signal processing (DSP) at the ECL. He is currently working on the design of small-size RF sensor digital signal processors in Field Programmable Gate Arrays (FPGA) and accelerated RADAR simulation of complex targets in NVIDIA Tesla parallel processing GPUs.
Associate Professor, Florida International Univ.
Wireless and Network Security, Privacy in Cyber-Physical Systems, Internet of Things and Ad Hoc Network
Dr. Kemal Akkaya is an Associate Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU). He received his BS degree in Computer Science from Bilkent University, MS degree in Compute Engineering from Middle-East Technical University, Turkey and PhD in Computer Science from University o Maryland, Baltimore County (UMBC). He leads the Advanced Wireless and Security (ADWISE) Research Lab at FIU. Previously, he was an associate professor at Southern Illinois University, Carbondale, IL.
Security for Cyber-Physical Systems, Internet of Things, Security fo Critical Infrastructure Networks, Wireless and Mobile Device Security, Big Data Security.
Dr. A. Selcuk Uluagac is currently an Assistant Professor in the Department of Electrical and Computer Engineering at Florid International University, where he leads the Cyber-Physical Systems Security Lab (CSL). He has served a a member of the research faculty as a Senior Research Engineer in the School of Electrical and Computer Engineerin at The Georgia Institute of Technology and prior to Georgia Tech, he was a Senior Research Engineer at Symantec.
Post Doctoral Fellows
Side-channel disassembly, side-channel attacks, SCA resistant hardware design, and hardware Trojan and logic obfuscation.
Jungmin Park received his B.S. degree and M.S. in electrical engineering from Kyunghee University, Korea, in 2007, and the M.S. in computer engineering from Kyunghee University, Korea, in 2009 and Ph.D. in computer engineering from Iowa State University, Ames, IA, in 2016. He is currently working on postdoctoral associate in computer engineering at University of Florida, Gainesville, FL.
Materials, nano-structure and device fabrication.
Dr. Shen is a post-doctoral fellow at the Florida Institute for Cybersecurity (FICS). He received his B.S. degree in Electrical Science and Engineering and M.S. degree in Materials Science from Fudan University. Dr. Shen received hi Ph.D. degree in Materials Science and Engineering from Penn State University in 2013.
Modeling, performance analysis and optimization of next-generation networks, mobile wireless and wireless communications, 5G systems, optimization and queueing theory, cybersecurity, Dynamic Information Flow Tracking (DIFT) systems.
Dr. Nikolaos Sapountzis received his diploma in Electronic and Computer Engineering from the Technical University of Crete (TUC) in Greece. Then, he started his Ph.D. program at the Institute of Eurecom (affiliated with Telecom ParisTech), in southern France. In December 2016, he received his Ph.D. where he specialized in network modeling and optimization. After working for a couple of months at FORTINET as a network security engineer, he joined the Florida Institute for Cybersecurity (FICS) center, where he is currently a Post-doctoral Fellow.
Security, reverse engineering, circuit design and machine learning.
Dr. Xu is a post-doctoral fellow at the Florida Institute for Cybersecurity (FICS). He received his B.S. and M.S. degree in Electrical Science and Engineering at the University of Electronic Science and Technology of China i 2008 and 2011 respectively. Dr. Xu received his Ph.D. degree in Electrical and Computer Engineering for University of Massachusetts Amherst in 2016. He is broadly interested in advancing cybersecurity from a computer engineering perspective, his research spans security, reverse engineering, circuit design and machine learning.
Hardware Security, Cryptography, and Machine Learning Theory.
Dr. Fatemeh Ganji is a postdoctoral fellow at the Florida Institute for Cybersecurity (FICS). She received her Ph.D. degree in Electrical Engineering from the Technical University of Berlin in 2017. She has focused her research activities on the applied and theoretical machine learning techniques as well as mathematical tools for the security assessment of hardware primitives, for instance, Physically Unclonable Functions (PUFs). Before joining FICS, Dr. Ganji was a postdoctoral research fellow at T-Labs, Telekom Innovation Laboratories and the Technical University of Berlin. She has served as a TPC member for IEEE and Elsevier conferences and journals.
Physical Attacks, Physically Unclonable Functions (PUFs), FPGA Security, Countermeasures for the IC backside
Dr. Shahin Tajik is a postdoctoral fellow at the Florida Institute for Cybersecurity (FICS). Before coming to the University of Florida, Dr. Tajik was also a postdoctoral fellow at the working group SECT, a collaboration of the Technical University of Berlin and Deutsche Telekom Innovation Laboratories in Germany. He received his Ph.D. degree in Electrical Engineering in 2017 from the Technical University of Berlin, Germany. His field of research includes non-invasive and semi-invasive attacks, Physically Unclonable Functions (PUFs), security evaluation of FPGAs, and providing tamper protection mechanisms against attacks conducted from the IC backside. His ACM CCS’17 paper with the title “On the Power of Optical Contactless Probing: Attacking Bitstream Encryption of FPGAs” was awarded the 1st place in Applied Research Competition of European Cyber Security Awareness Week (CSAW) in 2017.