Rate My Professor Alexa Doboli

Her research specializes in computer-aided design for electronic circuits and systems, specification, modeling, and synthesis of analog and mixed-signal circuits, cyber-physical and embedded systems, and methodologies for innovation in electronic design, including human-inspired machine learning. She has published over 170 papers, including highly cited works such as "System Level Hardware/Software Partitioning Based on Simulated Annealing and Tabu Search" (Design Automation for Embedded Systems, 1997), "Scheduling of Conditional Process Graphs for the Synthesis of Embedded Systems" (DATE, 1998), and the textbook "Introduction to Mixed-Signal, Embedded Design" (Springer, 2010, co-authored with Edward H. Currie). Recent publications address large language model-based cognitive architectures for open-ended problem-solving and multi-modal frameworks for team behavior modeling. Funded projects include NSF INSPIRE on creativity in human networks (2012-2017) and ONR grants on energy resilience. She has advised 17 Ph.D. students and 12 M.S. theses. Doboli teaches courses like ESE 124 (Programming Fundamentals), ESE 224 (Data Structures and Algorithms), ESE 566 (Hardware-Software Co-Design), and ESE 589 (Learning Systems for Engineering Applications). Awards include the Teachers Rated Excellent Educators by their Students (TREES) for 2023-2024, IBM Partnership Award (2001), and Traian Lalescu Award (1987). As a Senior Member of IEEE, she has served as Associate Editor for Integration, the VLSI Journal, and in other professional roles.