Center Members

Leadership

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Michel A. Kinsy

Center Director

Associate Professor in the School of Computing and Augmented Intelligence (SCAI),  Ira A. Fulton Schools of Engineering, Arizona State University. Dr. Kinsy focuses his research on computer architecture, hardware-level security, and efficient hardware design and implementation of post-quantum cryptography systems. Before joining the ASU faculty, Dr. Kinsy was an associate professor in the Department of Electrical and Computer Engineering at Texas A&M University (TAMU). He also held faculty positions at Boston University and University of Oregon. From 2013 to 2014, he was a fully-cleared Member of the Technical Staff at the MIT Lincoln Laboratory. Dr. Kinsy is an MIT Presidential Fellow and an Inaugural Skip Ellis Career Award recipient. He earned his PhD in Electrical Engineering and Computer Science in 2013 from the Massachusetts Institute of Technology (MIT).

Administrative Staff

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Wendy Johnson

Program Manager

Mrs. Johnson manages the center operations. She serves as the main point of contact for the center projects team members (both internal and external). She works closely with the director, researchers, students, affiliated faculty, academic collaborators, and industry partners to ensure the effective execution of the center’s operations. Prior to joining the STAM Center, Mrs. Johnson was the Project Coordinator for the BRAIN Center in the School of Biological and Health Systems Engineering.

Education
Master of Advanced Study, Arizona State University
Bachelor of Interdisciplinary Studies, Arizona State University

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Tonissa Saul

Research Communications Specialist

Mrs. Saul manages the center’s research communication materials. She works with the director, researchers, and students in reviewing, editing, producing, and promoting effective communication of the center’s research and education activities. Mrs. Saul has experience in project and editorial management, technical writing and editing, project blueprinting and ideation, and social media content creation. She was a managing editor at Bodega Magazine, editor and artist at Rinky Dink Press, and an instructor and the Frank X. Gordon GED Center.

Education
Master of Liberal Studies, Arizona State University
Bachelor of Arts, English, Creative Writing, Barrett, the Honors College at Arizona State University

Lead Researchers

Bryant W. York

Senior Researcher 

Dr. York earned the A.B. in Mathematics from Brandeis University (1967), the M.S. in Management from MIT (1971), the M.S. (1976) and Ph.D. (1981) in Computer Science from the University of Massachusetts – Amherst. He was a Research Staff Member at the IBM San Jose Research Labs (1979-1983), a Consulting Engineer at Digital Equipment Corporation’s Artificial Intelligence Center (1983-1986), associate professor of computer science at Boston University (1986 – 1991) and Northeastern University (1991 – 2001), and professor of computer science at Portland State University (2001 – 2019). He also served as a program officer at the National Science Foundation (1990-1991); served on the advisory committee to the Computer Information Science and Engineering Directorate (CISE) of NSF (1992-1998, 2002-2006); and served on the advisory committee to the Education and Human Resources Directorate (EHR) of NSF (2008 – 2014).

Current Research Focus Post-quantum cryptography, computational algebra, and crystallographic computations.

Kevin W. Rudd

Visiting Professor

Dr. Rudd is a Computer Systems Researcher at the Laboratory for Physical Sciences and formerly led the Computer Architecture and Computer Engineering team. He has performed research in the areas of advanced computer architecture, emerging memory technology, and rapid development and deployment. He is the sole or first inventor on four hardware–software co-design patents. Dr. Rudd has worked in government, industry, academia, and the military and received his Ph.D., M.S., and B.S. in Electrical Engineering from Stanford University.

Current Research Focus Dr. Rudd is working on enterprise-class computer architecture enhancements extending commodity architectures (like Arm and RISC-V) to support large address spaces providing scalability, abstraction, and safety & security.

Mihailo Isakov

AITS Laboratory Interim Lead

Mr. Isakov’s research lies in computer architecture, machine learning (ML), high performance computing (HPC) and hardware security. He has published on: understanding HPC system behavior using explainable machine learning, secure hardware root-of-trust ML accelerators, training small and a priori sparse neural networks in hardware, and applying machine learning to hardware security. Mr. Isakov recieved his B.S. in Electrical Engineering & Software Engineering from the Faculty of Technical Sciences, Novi Sad, Serbia. He has done graduate work at Boston University and Texas A&M University.

Current Research Focus Mr. Isakov’s current research consists of applying insights gained from analyzing HPC system behavior to analyzing microarchitectural behavior. He is evaluating the benefits of low latency hardware reconfiguration in terms of security and energy efficiency, and how hardware can make decisions fast enough to extract these benefits.

Alan Ehret

CAES Laboratory Interim Lead

Mr. Ehret’s research focuses on (i) the design of low-power hardware root-of-trust architectures for IoT and embedded systems and (ii) addressing the security challenges created by micro-architecture support for remote shared memory in multi-tenant (HPC) systems. In the low-power hardware root-of-trust design space, he has developed an architecture that leverages configurable hardware modules to monitor the state of an application’s execution and enforce security policies at runtime. Mr. Ehret received his B.S. in Electrical Engineering from Miami University. He has done graduate work at Boston University and Texas A&M University.

Current Research Focus Mr. Ehret is investigating and design micro-architecture support for hardware-enforced access permissions maintains security and privacy guarantees. His research aims to enable HPC systems to scale up applications across large numbers of nodes without sacrificing application privacy.

Fall 2022 STAM Center Researchers & Staff

Fall 2021 STAM Center Researchers & Staff