Andrew Zeliff is a Research Engineer at Georgia Tech Research Institute (GTRI), in the CIPHER Lab, Software Assurance Branch.  His interests revolve around building secure, hardened systems and software, often with a focus on attack surface reduction and secure-by-design concepts.  Some of his recent work includes building a hardened, secure alternate-data-path solution for a real-time system and developing tools to assess maritime and aviation systems protocol implementations. Mr. Zeliff possesses a MS in Computer Engineering from Syracuse University and a BS in Computer Science from Embry-Riddle Aeronautical University. Prior to GTRI, Mr. Zeliff worked with the US Air Force in many capacities, including as a civilian at the Air Force Research Laboratory.  There, Mr. Zeliff worked on numerous projects in the general field of Mission Assurance spanning across the Air, Space, and Cyberspace domains.

Robert Wright is a GTRI Senior Research Scientist in the Assured Software and Information Division within the CIPHER laboratory. He has been with GTRI since 2021 and leads research efforts in trustworthy autonomous systems. Wright started his career as a civilian research scientist for the Air Force Research Laboratory where he developed technologies and programs for autonomous command and control systems (2003-2016). In 2014, Wright received his Ph.D. in computer science from Binghamton University for his work in developing RL algorithms that learn efficiently from experience Prior to GTRI (2016-2021), Wright was a principal scientist for Assured Information Security where he was a PI for a number of DARPA and Air Force Research Laboratory efforts researching RL and AI techniques. His work has been published in many top venues and was awarded “Best Paper” at the 2013 European Conference on ML. 

Branden Stone is a graduate of the University of Kansas in 2012 with a doctorate in mathematics. Stone specialized in commutative and homological Algebra, authoring several publications in peer-reviewed journals. Before joining GTRI, Stone was a Senior Data Scientist at The Boeing Company (Sept 2021—Oct 2022) and a Research Scientist III at Assured Information Security in Rome, NY (June 2020—Sept 2021). As an academic, he held positions at Bard College, Adelphi University, and Hamilton College from 2012—2020 where he advised research students and taught Mathematics, Computer Science, and Statistics across the curriculum. Currently, Stone is involved in machine learning research for cybersecurity in areas such as logic tensor networks, malware classification, and binary similarity via program dependency graphs.

Cybersecurity MS graduate from the ECE department. Primary interests include Industrial Control System (ICS) security and microservices architecture on Kubernetes.

Greg Mohler is the chief scientist of the Assured Software and Information Division in the GTRI CIPHER lab. His work focuses on the intersection of information theory and physical systems, with emphasis on deep neural networks, quantum information, and complexity theory. Mohler has led efforts on quantum machine learning and classical heuristics for combinatorial problems, fairness-based analysis of neural network robustness, novel machine learning implementations for circuit obfuscation, and synthetic data creation. Mohler is also well versed in applications of quantum information theory, particular quantum error correction, hardware-informed quantum resource estimation, and scalable quantum tomography. Previously, he worked in electromagnetic theory, focusing on analytical and computational modeling of nanoferromagnetic composites.

Litchfield received both his Bachelor's and Master's Degree from Georgia Tech in Computer Engineering. Working in cybersecurity since 2012, he has worked in Cyber-Physical System security, network protocol reverse engineering, and large-scale systems vulnerability assessments.

Jessica Inman is Division Chief of the Assured Software and Information Division (ASID) and a Senior Research Scientist within the CIPHER laboratory of the Georgia Tech Research Institute (GTRI). Inman’s research interests include trustworthy and resilient AI, AI systems, adversarial ML, and AI/ML for Cybersecurity applications. Her work in trustworthy and resilient AI aims to enable deployment of AI/ML solutions in high-risk, dynamic environments.

Huggins is a subject matter expert in the field of vulnerability assessment of communication devices in general, and industrial control systems in particular. Research interests include vulnerability assessment of industrial communication protocols and both wired and wireless industrial networks with particular focus on electric energy distribution systems. He is the PI for the Survivable Industrial Control Systems (SICS) project, a collaboration of Sandia National Lab, Schweitzer Engineering Laboratory, the Night Vision and Electronic Sensors Directorate, and the Georgia Tech School of Electrical and Computer Engineering. Huggins also served as the cybersecurity SME for a large industrial automation research project for ExxonMobil.

Jeff Evans is a researcher with the Information Communication Laboratory (ICL) at the Georgia Tech Research Institute (GTRI), where researchers work to solve complex problems in computer science, information technology, communications, networking and sociotechnical systems. Customers have included those in the Department of Defense (DoD), emergency response and health care systems spaces. Evans’ research has focused primarily on modes of communications in emerging technologies, particularly wireless systems, and he is involved as a project director for several advanced network and multimedia communications programs. One of his main research foci involves ensuring applications’ performance as they migrate across different networks for legacy systems and emerging, high-bandwidth access technologies. His early work developed into the Network Applications Integration Lab (NAIL) research testbed, which led to his working with campus and other labs across GTRI. After running some of ICL’s research programs in both the DoD and commercial spaces, he was asked to help launch up the first multi-disciplinary unit, the Institute for People and Technology (IPaT) at Georgia Tech in order to integrate theoretical research, basic research and to conduct applied science about the emerging technologies that directly impact people: health care, education, humanitarian systems and media. He has helped build numerous international and industry partnerships, as well as multidisciplinary “living lab” test beds. Evans helped co-found GTRI’s Foundations for the Future (F3) program, which helps to bring Georgia Tech’s expertise into the state’s K-12 classrooms. ICL also has nationally recognized initiatives that includes the FalconView™ Program, the National Information Exchange Model (NIEM) information exchange standards; communications research and antenna networks, both for troops and for evaluating IED countermeasures; emergency management technologies; and are developing a comprehensive approach to the Internet of Things.

Yatis K. Dodia serves as the branch head for Quantitative Methods within ASID in GTRI’s CIPHER lab. His work focuses on the intersections of classical and quantum information theory, machine learning, and computational complexity for applications to cybersecurity. Another core thrust is trusted communications, such as aiming to leverage zero trust principles within 5G networks, and the potential for using robust AI/ML methods for threat detection and optimal mitigation. Previously, he has worked with ion-trap quantum computing and for a large telecom where he was the lead engineer in transitioning to IP-based technologies and standardizing Consumer Edge (CE) network topologies.