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 both the 2018-2019 and 2019-2020 term.
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.
| 2018 - 2019 Distinguished Lecturers | |
|---|---|
| Speaker | Title of Lecture(s) |
| David J. Allstot allstotd@oregonstate.edu | Lecture 1: Switched-Capacitor Circuits: From Maxwell to the Internet of Things |
Alyssa Apsel | Lecture 1: Making Sense of Low Power and Ultra Low Power Radio |
| Chip Hong Chang echchang@ntu.edu.sg | Lecture 1: Hardware Intrinsic Security: Challenges, Solutions and Opportunities |
Yo-Sung Ho | Lecture 1: 3D Video Processing for Immersive AR/VR Contents Generation |
Hai “Helen” Li | Lecture 1: Brain Inspired Computing: The Extraordinary Voyages in Known and Unknown Worlds |
| Chia-Wen Lin cwlin@ee.nthu.edu.tw | Lecture 1: Bridging CNNs and Unsupervised Image Clustering: A Hybrid Data-Driven and Model-Based Approach (1 hour) |
Shanthi Pavan | Lecture 1: Dissecting Design Choices in Continuous-time Delta-Sigma Converters |
Gabriel A. Rincón-Mora | Lecture 1: Energizing and Powering Microsystems |
Leonel Sousa | Lecture 1: Modular Arithmetic based Circuits and Systems for Emerging Technologies and Applications: Deep Neural Networks and Cryptography |
| Lecture 1: Modeling Cascading Failure in Power Systems from a Network Perspective |
| 2019 - 2020 Distinguished Lecturers | |
|---|---|
| Speaker | Title of Lecture(s) |
| Andreas Andreou | Lecture 1: Architectures in 14nm FinFET CMOS for Computational Memories and Imagers Lecture 2: Circuits in 14nm FinFET CMOS for Computational Memories and Imagers |
| Sorin Cotofana s.d.cotofana@tudelft.nl | Lecture 1: Energy Effective Graphene Based Computing |
| Man-Kay Law mklaw@umac.mo | Lecture 1: High Efficiency Capacitive Piezoelectric Energy Harvesting Interfaces Lecture 2: Ultra-low Power/Energy Efficient High Accuracy CMOS Temperature Sensors for passive RFID Applications Lecture 3: Reconfigurable Fully Integrated Switched-Capacitor DC-DC Converter for IoT Applications |
| Gwo Giun (Chris) Lee clee@mail.ncku.edu.tw | Lecture 1: Making Healthcare More Accessible via AI: Extension of Telemedicine Lecture 2: Algorithm/Architecture Co-design for Smart Signals and Systems in Cognitive Cloud/Edge |
| Andrew Mason mason@msu.edu | Lecture 1: Augmented Perception: Next Generation Wearables and Human-Machine Interfaces |
| Keshab Parhi parhi@umn.edu | Lecture 1: Machine Learning Systems: Low-Energy VLSI Architectures and Applications Lecture 2: Hardware Security: Authentication and Functional Encryption |
| Nan Sun nansun@mail.utexas.edu | Lecture 1:When SAR meets sigma-delta - Hybridization of SAR and sigma-delta ADCs |
| Chua-Chin Wang ccwang@ee.nysu.edu.tw | Lecture 1: Nano-scale CMOS Mixed-voltage Digital I/O Buffer Design Methodology |
| Jerald Yoo jyoo@nus.edu.sg | Lecture 1: Body Area Network – Connecting things together around the body. Lecture 2: On-Chip Epilepsy Detection: Where Machine Learning Meets Wearable, Patient-Specific Wearable Healthcare. |
| Ce Zhu eczhu@uestc.edu.cn | Lecture 1: Towards Global Rate Distortion Optimization in Video Coding: Recent Developments Lecture 2: Rate Distortion Optimization in Video Coding: from Local to Global |