Seminars
Upcoming Seminars
ECE hosts a regularly scheduled seminar series, the Interdisciplinary Distinguished Seminar Series, with preeminent and leading researchers in the US and the world, to help promote North Carolina as a center of innovation and knowledge and to ensure safeguarding its place of leading research.
ABB and ECE are proud to host the ABB Distinguished Lecture Series in Power Engineering. Each semester, a nationally prominent expert will lecture on a topic related to recent developments in power technology and the smart grid. Distinguished speakers drawn from ABB, academia and the power industry will address the most timely and challenging topics of the power engineering and smart grid industries. Everyone is invited to attend, from undergraduates on up to faculty and friends of the department.

An Architect’s Perspective on Quantum Computer Scaling: Why, What, and How?

Dr. Kaitlin Smith
From Super.tech on February 14, 2023.

Smart Reconfigurable Computing for GNN and Transformer

Dr. Cong (Callie) Hao
Assistant Professor, Georgia Tech on February 10, 2023.

Interface Drive Organic and Flexible Electronics

Dr. Martin Thuo
Professor, NC State's Department of Materials Science & Engineering on February 9, 2023.

Software-Defined Power Electronics

Dr. Matthias Preindl
Associate Professor, Columbia University on February 3, 2023.

Soft Wearable Electronics Based on Metal Nanowire Network

Yong Zhu
Andrew Adams Distinguished Professor in the Department of Mechanical and Aerospace Engineering, North Carolina State University on February 2, 2023.

Engineering Useful Quantum Computers: From NISQ to Error Correction
Dr. Guilhem Ribeill
Scientist, Raytheon on January 27, 2023.

From Nanoscale Light Sources to Photonic Integrated Circuits

Professor Qing Gu
Associate Professor, Electrical and Computer Engineering and Physics, NC State University on January 13, 2023.

High-Performance and Crash-Recoverable Security Support for Emerging Memory Architectures

Amro Awad
Assistant Professor, NC State on November 18, 2022.

Reinforcement learning theory

Mengdi Wang
From Princeton University on November 11, 2022.

Machine Learning-guided Biosensing and High-Throughput Characterization of Soft Materials

Blake Johnson
From Virginia Tech on November 4, 2022.

Optical High Throughput Phenotyping of Crops and Produce

Michael Kudenov
From North Carolina State University on November 1, 2022.

Engineering Challenges for the Emerging Quantum Networks

Prem Kumar
From Northwestern University on October 28, 2022.