DLP chair
Pui-In (Elvis) Mak

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
SpeakerTitle of Lecture(s)
David J. Allstot

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 
Lecture 2: Flexible Radios and Flexible Networks

Chip Hong Chang   

Lecture 1: Hardware Intrinsic Security: Challenges, Solutions and Opportunities
Lecture 2: Physical Unclonable Functions – Past, Present and Future

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
Lecture 2: Deep Learning and Neuromorphic Computing - Technology, Hardware and Implementation

Chia-Wen Lin

Lecture 1: Bridging CNNs and Unsupervised Image Clustering: A Hybrid Data-Driven and Model-Based Approach (1 hour)
Lecture 2: Stereo Video Retargeting: Bringing the Theater Experience into Our Home (1 hour)
Lecture 3: Visual Content Retargeting: Algorithms, Applications, and Quality Assessment (3 hours)

Shanthi Pavan

Lecture 1: Dissecting Design Choices in Continuous-time Delta-Sigma Converters
Lecture 2: Linear Periodically Time Varying Circuits and Systems Demystified

Gabriel A. Rincón-Mora

Lecture 1: Energizing and Powering Microsystems
Lecture 2: Tiny Energy-Harvesting Piezoelectric Chargers
Lecture 3: Light-Harvesting Photovoltaic Charger–Supplies
Lecture 4: Tiny Inductively Powered Battery Chargers

Leonel Sousa

Lecture 1: Modular Arithmetic based Circuits and Systems for Emerging Technologies and Applications: Deep Neural Networks and Cryptography
Lecture 2: Modeling Performance and Energy-Efficiency of Multi-Cores: The Cache-Aware Roofline Approach and The Intel Advisor

Michael Tse

Lecture 1: Modeling Cascading Failure in Power Systems from a Network Perspective
Lecture 2: How did Facebook grow? Did Twitter, LinkedIn, WeChat and others grow in the same way? — A Network-Based Universal Growth Law

2019 - 2020 Distinguished Lecturers
SpeakerTitle 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
Lecture 1: Energy Effective Graphene Based Computing
Man-Kay Law
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
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
Lecture 1: Augmented Perception: Next Generation Wearables and Human-Machine Interfaces
Keshab Parhi
Lecture 1: Machine Learning Systems: Low-Energy VLSI Architectures and Applications
Lecture 2: Hardware Security: Authentication and Functional Encryption
Nan Sun

Lecture 1:When SAR meets sigma-delta - Hybridization of SAR and sigma-delta ADCs
Lecture 2: New Ingredients in the Pot - Rethink Analog IC Design
Lecture 3: Handheld CMOS NMR Biosensor
Lecture 4: Hybrid ADCs: Practical Design Considerations and Examples

Chua-Chin Wang

Lecture 1: Nano-scale CMOS Mixed-voltage Digital I/O Buffer Design Methodology
Lecture 2: How to Design High-Speed Nano-scale CMOS Mixed-voltage Digital I/O Buffer with Reliable Slew Rate Insensitive to PVTL Variation

Jerald Yoo
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
Lecture 1: Towards Global Rate Distortion Optimization in Video Coding: Recent Developments
Lecture 2: Rate Distortion Optimization in Video Coding: from Local to Global

Past DLP Lectures