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.

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.

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.

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.

Adonis Bovell leads the algorithm assurance branch in the Assured Software and Information Division of GTRI’s CIPHER Lab. His group’s work focuses on the security benefits and risks associated with the application of advanced algorithms to cybersecurity problems. This entails research on model robustness, trustworthiness and privacy, including data valuation and synthetic data generation, formal verification and adversarial machine learning, and privacy and fairness. Previously, Bovell has worked on automated malware analysis and malicious network traffic detection.

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. 

Stephen E. Ralph is a Professor with the School of Electrical and Computer Engineering at Georgia Tech. He received the BEE degree in Electrical Engineering with highest honors from the Georgia Institute of Technology in 1980. He received a Ph.D. in Electrical Engineering from Cornell University in 1988 for his work on highly nonequilibrium carrier transport in semiconductor devices. He is currently the director of the Georgia Electronic Design Center, a cross-disciplinary electronics and photonics research center focused on the synergistic development of high-speed electronic components and signal processing to enable revolutionary system performance. He is also the founder and director of the new Terabit Optical Networking Consortium, an industry led communications and information technology consortium. Prior to Georgia Tech he held a postdoctoral position at AT&T Bell Laboratories and was a visiting scientist with the Optical Sciences Laboratory at the IBM T. J. Watson research center. He has widely published in peer-reviewed journals and conferences and holds more than 10 patents in the fields of optical communications, optical devices and signal processing. His current research focuses on high-speed optical communications systems including modulation formats, coherent receivers, microwave photonics, integrated photonics and signal processing. Ralph is an Associate Editor of the IEEE Transactions on Electronic Devices. He is a Fellow of the Optical Society (OSA).