Matin Pirouz

Matin Pirouz is an instructor and a doctoral candidate in the Department of Computer Science, College of Engineering, University of Nevada, Las Vegas (UNLV). Her current research work is in big data analytics, deep learning, network analysis, and graph theory. She received a B.S. in Computer Science and a M.S. degree in Information Technologies from European Regional Educational Academy (EREA) in 2012 and 2014 respectively. Her M.S. research area was in network programming and security. Prior to joining the Ph.D. program, she was an instructor at Cisco Networking Academy for about four years where she taught various entry, associate, and professional-level courses. In March 2013, Mrs. Pirouz Nia successfully passed the Instructor Trainer Qualification and has been holding instructor-level courses since then. During her time at Cisco Networking Academy, she was presented with several national and regional awards and she taught a few dozen instructors and over a hundred students. She is currently a researcher in Big Data Hub – ILAB at UNLV where she is conducting research on graph theory, particularly Personalized Page Ranks on weighted graphs and network analysis. Her current certifications include Cisco Certified Network Associate Routing &Switching, Cisco Certified Design Associate, and CompTIA Project+. As part of her Master’s dissertation, she developed a Linux-based program for UCom, one of the top ISPs of Armenia. The software was written on Tool Command Language (TCL) and AWK Languages and was a secure interface that monitored customers’ network quality on predefined intervals.

Mehmet Gunes

Mehmet H. Gunes is an Associate Professor at University of Nevada, Reno. He received his M.S. degree in Computer Science & Engineering from Southern Methodist University in 2004 and Ph.D. degree in Computer Science from University of Texas at Dallas in 2008. Dr. Gunes’ research expertise includes Complex networks (biological networks, decentralized OSNs, graph data mining, information networks, infrastructure networks, network visualization, social networks, and technological networks); Cyber security (access control, anonymizer technologies, digital currencies, cloud, healthcare systems, privacy, and smart grid); and Internet measurements (big data analytics, Internet topology, Internet modeling, network sampling, synthetic graph generation, and traffic fingerprinting). So far his research has been funded by the National Science Foundation, the National Institute of Justice, the Department of Defense, the University of Nevada, Reno and Cincinnati Children’s Center for Pediatric Genomics.

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.

Yaakov Varol

Numerical techniques and analysis; combinatorial and optimization problems; traffic simulation; scheduling problems; network path problems; curriculum development; laboratory and department administration.

Rajat Mehrotra

Dr. Rajat Mehrotra is an Innovation Fellow at the Applied Innovation Center. His primary responsibilities include closely working with AIC director, business and computational lead, and various divisional directors within DRI to establish priorities and develop intellectual properties in the areas of cyber physical systems, high performance computing, and data science. Dr. Mehrotra received his PhD at Mississippi State University in electrical & computer engineering. His research has been aimed to develop state-of-the-art innovative techniques for designing advanced software systems and novel algorithms to solve complex problems of large scale Distributed Computing Systems (DCS) in the discipline of computer engineering. Dr. Mehrotra’s key research interests include performance management and security of DCS, Energy-Aware HPC Systems, Big Data Systems, and cyber physical systems.

Michael McMahon Jr

Designed and implemented a new, extensible “Research-as-a-Service” system for Nevada to transform and advance the fields of observational sciences using modern technologies and techniques. Demonstrated ability and propensity to quickly assimilate and utilize new technologies, techniques, and information while professionally interacting with diverse groups of project stakeholders to determine their best application. A strong desire to apply software to improve processes and advance ubiquitous computing. Strengths include: Managing complex, innovative projects Proficiency with cutting-edge technologies Interfacing with diverse stakeholders Designing and implementing solutions Fast assimilation and application of knowledge Excellent coding, documentation, & writing skills Creative applications of modern technologies Expert .NET, database, and web developer.

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

Evangelos Yfantis

Evangelos Yfantis is a Professor in the Department of Computer Science, University of Nevada, Las Vegas. His unmanned aerial expertise is in: digital video; video compression; pattern recognition; artificial intelligence; signal processing; statistics; database management; and file servers-network programming-digital communications-internet programming.