Distinguished Lecturer Program (DLP) Current Lecturers
Below are the contact information and terms of the current IEEE Circuits and Systems (CAS) DLP speakers.
The abstract(s) of the Distinguished Lectures and speaker biographies are available for the 2020-2022, 2021-2022, and 2022-2023 terms.
If you are interested in inviting a DLP speaker to your region, please get in touch with your local IEEE-CASS chapter chair. Your chapter chair will submit the CASS DLP Request Form to formalize the request to sponsor a DLP lecture. Please remember to check the Education page for the latest updates.
| 2022 - 2023 Distinguished Lecturers | |
|---|---|
| Speaker | Title of Lecture(s) |
Chuan Zhang | Lecture 1: Advanced Baseband Processing Circuits and Systems for 5G/B5G Communications Lecture 2: Artificial Intelligence for 5G and Beyond 5G: Implementations, Algorithms, and Optimizations |
Michael Peter Kennedy | Lecture 1: Recent Advances in Frequency Synthesis Lecture 2: The Good, the Bad, and the Ugly of Nonlinear Circuits and Systems |
| Xuan (Silvia) Zhang xuan.zhang@wustl.edu | Lecture 1: Exploring Autonomous Edge Intelligence in the Analog Domain |
Wen-Hsiao Peng | Lecture 1: (3-hour tutorial) Advances in Design and Implementation of End-to-End Learned Image and Video Compression Lecture 2: (1-hour seminar) Video/Image Coding for Machines |
Yu (Kevin) Cao | Lecture 1: Reliable In-memory Computing with Unreliable Devices and Circuits |
Gabriel A. Rincón-Mora | Lecture 1: Unraveling Feedback Translations Lecture 2: Switched-Inductor Power Supplies: Compact Control Loops |
Hongliang Li | Lecture 1: Multi-Modal Scene Understanding Theory and Application Lecture 2: Visual Object Detection: Challenge and Approaches |
Massimo Alioto | Lecture 1: Green Technologies for Intelligent and Connected Circuits & Systems Powered by Renewable Energy Sources Lecture 2: Securing the Next Trillion of Chips via In-Memory and Immersed-in-Logic Design – Beyond Traditional Design Boundaries |
Partha Pratim Pande | Lecture 1: Processing-in-memory (PIM)-based Manycore Architecture for Training Graph Neural Networks Lecture 2: Interconnect Meets Architecture: On-Chip Communication in the Age of Heterogeneity Lecture 3: Bringing Cores Closer Together: The Wireless Revolution in On-Chip Communication |
Jennifer Blain Christen | Lecture 1: Fluorescence-based Lateral Flow Immunoassays (LFIA) for Quantitative, Multiplexed Detection of HPV Lecture 2: Low-Cost COVID-19 Diagnostics for Low Resources Settings, Bringing Point of Need Testing to Low Resource Environments Lecture 3: Smart Nets – Machine Learning-based Approach to Protecting Marine Life Lecture 4: Fully Passive Wireless Sensors for Biosignal Acquisition |