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 | |
|---|---|
| Speaker | Title 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 gielen@kuleuven.be | Lecture 1: Designing Analog Functions Without Analog Circuits Lecture 2: Towards Unfailing Analog Circuits for Biomedical and Automotive Applications |
Minku Je
| 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 | 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 zhihua@tsinghua.edu.cn | 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 |
| 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 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 |