معرفی
Chaitali Chakrabarti is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). She has been at ASU since 1990 and serves as the Associate Director of the Center for Wireless Information Systems and Computational Architectures (WISCA). Her research focuses on algorithm-architecture co-design for signal processing, low-power embedded systems, heterogeneous computing, AI hardware acceleration, and federated learning. She has led numerous NSF and industry-funded projects, including collaborative research on 3D ultrasound imaging and energy-efficient computing systems.
Education: Ph.D. in Electrical Engineering (University of Maryland, 1990), M.S. in Electrical Engineering (University of Maryland, 1986), B.Tech. in Electronics and Electrical Communication Engineering (Indian Institute of Technology Kharagpur, 1984).
Research Interests: Low-power embedded systems, near-threshold computing, heterogeneous SoC design, AI/ML hardware acceleration, medical imaging systems, and federated learning. Her work emphasizes energy-efficient architectures and algorithm-hardware co-design for applications like ultrasound imaging and wireless communication.
Awards include IEEE Fellow, Distinguished Alumnus Awards from IIT Kharagpur and University of Maryland, and multiple teaching excellence awards (Top 5% Teaching Award at ASU from 2012–2024). She has authored over 200 publications and holds patents in energy-efficient computing and hardware security.
Grants: Over $10M in funding from NSF, industry partners (e.g., Google, Intel), and government agencies. Notable projects include SHF: Medium: Collaborative Research on 3D Ultrasound (NSF, 2014–2018) and Energy-Efficient Near-Threshold Computing (2012–2018).
Labs/Teams: Leads WISCA and collaborates with SenSIP. Her group develops reconfigurable architectures (e.g., Versa, Millipede) and AI accelerators like MAX2 and Sonic Millipede.
