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 the 2017-2018 term and the 2018-2019 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.

PhotoSpeakerTermTitle of Lecture(s)
David J. Allstot  allstotd@oregonstate.edu2018-2019

Lecture #1: Switched-Capacitor Circuits: From Maxwell to the Internet of Things 

Alyssa Apsel  aba25@cornell.edu2018-2019

Tutorial #1: Making Sense of Low Power and Ultra Low Power Radio                          Lecture #1: 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

Meng-Fan (Marvin) Chang mfchang@ee.nthu.edu.tw2017-2018

Lecture #1: Challenges in Circuits and Systems for Emerging Memory Based Energy-Efficient Intelligent Electronics
Lecture #2: Challenges and Trends of Memory Circuit Designs for Energy-Efficient IoT Devices"

Jose M. de la Rosa  jrosa@imse-cnm.csic.es2017-2018

Lecture #1: Next-Generation Sigma-Delta Converters: Trends and Challenges in a Digital-Driven World
Tutorial #1: Designing Sigma-Delta Data Converters: From Theory Foundations to Chip Implementation"

Pantelis Georgiou pantelis@imperial.ac.uk


Lecture #1: The Bio-Inspired Artificial Pancreas for Treatment of Diabetes
Tutorial #1: CMOS Design for DNA Detection Using Ion-Sensitive Field Effect Transistors

Bah-Hwee Gwee ebhgwee@ntu.edu.sg


Lecture #1: Secured Microchip Design: Side Channel Attack and its Countermeasure
Lecture #2: Randomized Modulation for Low-Harmonics Low-Noise Switched-Mode DC-DC Converters"

Yo-Sung Ho


Lecture #1: 3D Video Processing for Immersive AR/VR Contents Generation

Kenneth Jenkins jenkins@engr.psu.edu2017-2018

Lecture #1: Current Practices and Future Research Directions in Adaptive Signal Processing
Lecture #2: Arithmetic vs. Algorithmic Fault Tolerance for Highly Scaled VLSI Signal Processors
Lecture #3: Design and Performance of Adaptive Systems Based on Bio-Inspired Optimization Strategies
Lecture #4: The Wild Historical Tug-a-War: “DSP Theory versus IC Technology”

Hai “Helen” Li    Hai.li@duke.edu


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  cwlin@ee.nthu.edu.tw2018-2019

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)
Tutorial #1: Visual Content Retargeting: Algorithms, Applications, and Quality Assessment (3 hours)

Sanjit Mitra mitra@ece.ucsb.edu2017-2018

Lecture #1: Structural Interpretations of Stability Tests of Linear Systems
Lecture #2: Structural Subband Decomposition: A New Concept in Digital Signal Processing

Shanthi Pavan


Lecture #1: Dissecting Design Choices in Continuous-time Delta-Sigma Converters
Tutorial #1: 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

Riccardo Rovatti riccardo.rovatti@unibo.it2017-2018

Lecture #1: Adapted Compressed Sensing for IoT Applications
Lecture #2: Zero-Cost Security for Embedded Systems by Compressed Sensing

Leonel Sousa


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

Gabor Temes gabor.temes@oregonstate.edu2017-2018

Lecture #1: Multi-Step Incremental Analog-to-Digital Converters for Ultra-Low-Power Applications
Lecture #2: Pseudo-pseudo Differential Circuits

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

Hao Yu


Lecture #1: Machine-learning Enhanced Biomedical Data Analytics for Point-of-care Diagnosis System
Lecture #2: CMOS Integrated Lab-on-a-chip System for Personalized DNA Sequencing

Past DLP Lectures