DNAS Friday Seminar Series
Neuromorphic Platforms for Dynamic Brain-Inspired Intelligence
Date & Time
Date: Oct 31, Friday
Time: 2:00-3:00PM
Venue: IB 3106& Zoom
Zoom ID: 789 843 9496
Speaker
Dr. Eunhye Baek
Tsinghua University, Research Assistant Professor
Abstract
The brain processes information through continuous dynamics. Most AI, however, still relies on static data and centralized computation. This mismatch makes it difficult to adapt in real time or to achieve energy efficiency in dynamic environments. In this seminar, I will introduce the basics of neuromorphic computing and the theoretical idea that motivates brain-inspired approaches. We will look at how neurons and dendrites integrate signals, how spiking dynamics can serve as an alternative, and why network structure and connectivity matter. I will also give a short overview of my research on dendritic computation and neuromorphic device networks, showing how circuit morphology and material dynamics can support spatiotemporal processing without heavy algorithms. Finally, I will discuss possibilities for intelligent sensing, robotics, and brain–computer interfaces. The seminar aims to outline neuromorphic principles and suggest how intelligence could be understood through physical systems.
BIO
Dr. Eunhye Baek is a Research Assistant Professor at the School of Integrated Circuits, Tsinghua University. Her current research focuses on neuromorphic circuits and systems for brain-inspired spatiotemporal processing, targeting sensing and robotics applications.
Dr. Baek received her B.S. in EE (2011) and M.S. in IT Convergence Engineering (2013) from POSTECH, Korea, and her doctoral degree in Materials Science (2018) from Dresden University of Technology, Germany. She worked as a Postdoctoral Researcher at the Department of Precision Instrument, Tsinghua University (2019-2023), and as a Research Fellow at the Tsinghua Laboratory of Brain and Intelligence (2023-2024). Her research has been published in leading journals such as Nature Electronics, Advanced Science, Nano Letters, etc., and she has filed several patents in neuromorphic computing.
