DLP chair
Krishnendu Chakrabarty
krish@duke.edu

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 2019-2020 and 2020-2021 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.


2020 - 2021 Distinguished Lecturers
SpeakerTitle of Lecture(s)

Vivek De
vivek.de@intel.com

Lecture 1: Variation-Tolerant & Error-Resilient Many-Core SoCs with Fine-Grain Power Management

Roberto Gómez-García
roberto.gomez.garcia@ieee.org

Lecture 1: Reconfiguring the World: Adaptive-Transfer-Function and Multi-Band Filtering Devices for Emerging Wireless Systems

Lecture 2: Dīvide et īmpera? Multi-Functional RF Filtering Components for Modern Wide-Band/Multi-Band Wireless RF Front-Ends
Georges Gielen
gielen@kuleuven.be

Lecture 1: Designing Analog Functions Without Analog Circuits

Lecture 2: Towards Unfailing Analog Circuits for Biomedical and Automotive Applications  

Minku Je
mkje@kaist.ac.kr

 

Lecture 1: Integrated Circuits and Microsystems for Emerging Biomedical Applications

Lecture 2: Integrated Circuits Interfacing with Neurons
Hyuk-Jae Lee
hyukjae@snu.ac.kr

Lecture 1: New Memory Architecture for Deep Learning Applications

Lecture 2: Memory Access Optimization for Neural Network Processing 

Gerald Sobelman
sobelman@umn.edu

Lecture 1: Machine Learning and Optimization for Communications and Deep Networks

Mircea Stan
mircea@virginia.edu

Lecture 1: Processing in Memory (PIM) - Power and Thermal Challenges and Opportunities

Lecture 2: Smart Dust with Asynchronous Stream Processing (ASP)

Zhihua Wang
zhihua@tsinghua.edu.cn

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


2019 - 2020 Distinguished Lecturers
SpeakerTitle of Lecture(s)
Andreas Andreou

andreou@jhu.edu

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

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
ccwang@ee.nysu.edu.tw

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
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

 

Past DLP Lectures