DLP chair
Krishnendu Chakrabarty

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 2019-2021, 2020-2021, 2020-2022, and 2021-2022 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.

2021 - 2022 Distinguished Lecturers
SpeakerTitle of Lecture(s)

Said Hamdioui

Lecture 1: Device Aware Test: The Means to Win the War Against Unmodeled Faults 

Lecture 2: Computation-in-Memory Architectures for Edge-AI

Yongpan Liu

Lecture 1: Energy Efficient Nonvolatile Intelligent IoT Processor and Its Applications

Lecture 2: Energy Efficient Sparse Machine Learning Professor
Ljiljana Trajkovic

Lecture 1: Complex Networks

Lecture 2: Data Mining and Machine Learning for Analysis of Network Traffic

Shimeng Yu

Lecture 1: Circuit Design and Silicon Prototypes for Compute-in-Memory for Deep Learning Inference Engine

Lecture 2: Tutorial - NeuroSim: A Benchmark Framework of Compute-in-Memory Hardware Accelerators from Devices/Circuits to Architectures/Algorithms

Xiao-Ping (Steven) Zhang

Lecture 1: Localization and Tracking for Internet of Things

2020 - 2022 Distinguished Lecturers
SpeakerTitle of Lecture(s)

Vivek De

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

Roberto Gómez-García

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

Lecture 1: Designing Analog Functions Without Analog Circuits

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

Minkyu Je


Lecture 1: Integrated Circuits and Microsystems for Emerging Biomedical Applications

Lecture 2: Integrated Circuits Interfacing with Neurons

Gerald Sobelman

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

Mircea Stan

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

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

Zhihua Wang

Lecture 1: Binaural Hearing Aid and Artificial Intelligence in Fitting and Signal Processing 

Lecture 2: Challenges and the Design of RF a transceiver for medical applications

2020 - 2021 Distinguished Lecturers
SpeakerTitle of Lecture(s)
Hyuk-Jae Lee

Lecture 1: New Memory Architecture for Deep Learning Applications

Lecture 2: Memory Access Optimization for Neural Network Processing 

2019 - 2021 Distinguished Lecturers
SpeakerTitle of Lecture(s)
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: Enabling Accessible Health and Wellness via AI Humanity

Lecture 2: Machine Learning for Analytics Architecture: AI to Design AI

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.


Past DLP Lectures