Jean Anne Incorvia of Texas ECE has been unveiled as the first recipient of the Applied Physics Letters (APL) Rising Star Award recognizing her impactful contributions to the field.

The award recognizes the work of Incorvia and her research group on "Stochastic domain wall-magnetic tunnel junction artificial neurons for noise resilient spiking neural networks," in Applied Physics Letters, June 2023. Students Thomas Leonard, Samuel Liu, and Harrison Jin were co-authors on the paper.

Jean Anne Incorvia is an Associate Professor and holds the Fellow of Advanced Micro Devices (AMD) Chair in Computer Engineering in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, where she directs the Integrated Nano Computing (INC) Lab. Dr. Incorvia develops practical nanodevices for the future of computing using emerging physics and materials. This includes research in spintronics (electronics that uses magnetism and spin to encode information), both fundamental and applied nano-magnetism, bio-inspired neuromorphic computing, in-memory computing devices and circuits, quantum computing, radiation-hard materials and devices, and the intersection of low-dimensional (2D) materials and spintronics. 

Thomas Leonard and Sam Liu are both ECE Ph.D. candidates who joined INC lab in 2019 and 2020, respectively. Thomas graduated from NC State in 2018 with an MS&E degree. His current research focuses on three-terminal magnetic tunnel junctions for memory-in-logic computing. Sam Liu graduated from the University of Minnesota-Twin Cities with a degree in Electrical Engineering. His research interests are in spintronics, magnetic materials, and neuromorphic computing. 

Harrison Jin completed his undergraduate degree in ECE at UT Austin and has now started his first year of the ECE PhD program. He has a wide range of engineering interests from integrated circuit design to nanotechnology.