Electrical and Computer Engineering Events

Advancements in Metrology for the Characterization of Cryogenic Submillimeter-Wave Devices

Committee Members:

                        Chair: Dr. Scott Barker, Professor ECE Department, Associate Dean for Academic Affairs

Learn how to increase the timeliness of data exchange in large-scale federated learning systems.

Explore novel machine learning methods with applications to neuro-degenerative disorders.

Find out why neuromorphic systems are a "natural" candidate for emerging computer architectures.

See how chemistry, bottom-up assembly and top-down fabrication techniques come together to design nanostructured materials with desired optical, electrical, magnetic, mechanical and thermal properties for multifunctional devices.

Learn how the increasing capability to manipulate matter at the nanoscale is generating new materials with unique properties that promise to address unmet medical needs for future generations.

Learn how to optimize piezoelectric thin films in low voltage microelectromechanical systems for sensing, actuation and energy harvesting.

Explore the design of new, practical materials for breakthroughs in energy storage and conversion systems

Investigate foundational research in machine learning and deep learning, and machine learning methods to solve challenging real-world problems in biology, chemistry, neuroscience and medicine.

Gain insight into low-power machine learning solutions for battery-powered devices.