Dr. Shamik Sengupta is the Executive Director of the Cybersecurity Center at University of Nevada, Reno (UNR) and a Professor in the Department of Computer Science and Engineering. His research emphasizes on various cybersecurity issues such as vulnerability assessment and malware analysis, security and privacy in cybersecurity information exchange, anomaly detection in cyber-physical systems, machine Learning, network security, honeypot as well as cognitive radio and DSA networks, game theory, network economics and self-configuring wireless mesh networks. He has authored over 150 international conferences and journal publications including IEEE GLOBECOM 2008 best paper award, International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS) 2017 best paper award and IEEE CCWC 2020 best paper award. He is the recipient of NSF CAREER award in 2012; UNR CSE Best Researcher award in 2015-2016 and 2017-2018; UNR College of Engineering Excellence Award 2018; University of Central Florida CECS Distinguished Alumni Honor award (Department of Electrical and Computer Engineering) 2018; and the UNR Ralph E. & Rose A. Hoeper Professorship Award 2019. For more information, please visit: https://www.cse.unr.edu/~shamik/.
David Feil-Seifer
David Feil-Seifer is an Assistant Professor in Computer Science at the University of Nevada, Reno. His primary research interests are Socially Assistive Robotics (SAR) and User Interface design for Unmanned Autonomous Systems (UAS-UI). His research is motivated by the potential for SAR to address health-care crises that stem from a lack of qualified care professionals for an ever-growing population in need of personalized care as well as the uses for aerial robots for disaster mitigation.
Lei Yang
Lei Yang is currently an assistant professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. Prior to joining the University, he was an assistant research professor with the School of Electrical Computer and Energy Engineering at Arizona State University. Before that, he was a postdoctoral scholar at Princeton University and Arizona State University. He received the Best Paper Award Runner-up of IEEE INFOCOM 2014.
Yoohwan Kim
Prof. Kim is an Associate Professor in the Department of Computer Science at University of Nevada Las Vegas (UNLV). He received his Ph.D. degree from Case Western Reserve University in 2003 in the area of network security (DDoS attack mitigation). His research expertise includes secure network design, unmanned aircraft systems (UAS) communications, and cyber-physical system (CPS) security. He has published over 90 papers in peer-reviewed journals and conferences, and 6 patents granted or pending. His research has been sponsored by Microsoft Research, US Air Force, Naval Air Warfare Center, Oak Ridge National Laboratory, National Security Technologies, and National Science Foundation. His research on DDoS attacks has established a foundation for Rate-Based Intrusion Prevention Systems, which has been cited over 300 times collectively.
Ju-Yeon Jo
Unmanned Aerial Systems Expertise:
Cybersecurity in UAS control software and ground systems
UAS communication network security
UAS privacy protection schemes
Software engineering in UAS system development
Sergiu Dascalu
Dascalu is an associate professor in the Computer Science and Engineering Department at the University of Nevada, Reno. He received a master’s degree in automated control and computers from the Polytechnic of Bucharest, Romania and his doctorate in computer science from Dalhousie University, Canada. Dascalu is the director of the Software Engineering Laboratory (SOELA) at UNR and has served as PI or co-PI on various projects funded by federal agencies such as NSF, NASA, and ONR, as well as by industry organizations. Dascalu has more than 120 peer-reviewed publications and has been involved in the organization of many international conferences and workshops, from which he received numerous recognitions. Dascalu’s main research interests are in software engineering and human-computer interaction, particularly in software specification and design, software tools for scientific research, simulation environments and user interface design.
Sushil Louis
Dr. Louis works in Genetic Algorithms, Evolutionary Computing and their applications to Artificial Intelligence, Machine Learning, and Optimization. His current work investigates adaptive AI for RTS-games, interaction design for controlling large numbers of heterogeneous, semi-autonomous entities, and generating real-time micro for game and real-world agents. The Evolutionary Computing Systems Lab (ECSL), which I direct, has investigated new techniques for machine learning using Case-Injected Genetic AlgoRithms (CIGAR), new techniques for playing to learn to play computer games, and new techniques for evolving Real-Time Strategy (RTS) game micro and macro.