Irons Endowed Lectures

Henry R. Irons (BS'43 and MS'47) established Henry R. and Gladys V. Irons Endowed Lectureship to provide financial assistance to the Department of Electrical and Computer Engineering for annual lectures for students, faculty and the general university community at no charge to the participants. Speakers present on technical topics in the areas of electrical/wireless communications, computer hardware/software engineering, digital signal processing, systems and electronic controls, and solid-state electronics.

 

The ECE Irons lectures are supported by the Henry R. and Gladys V. Irons Endowed Lectureship.

   
 
Date: April 19, 2023
Speaker: Prof. Alex Olshevsky, Boston University
Title: The Connection between Reinforcement Learning and the Gradient Descent
 
 
 
Date: April 12, 2023
Speaker: Prof. Xiaobo Sharon Hu, University of Notre Dame
Title: In-Memory Computing: from Devices to ApplicationsA Cross-Layer Perspective with a focus on Content Addressable Memories
 
 
Date: March 29, 2023
Speaker: Prof. Na Li, Harvard University
Title: Scalable distributed control and learning of networked dynamical systesm
 
Date: March 11, 2020
Speaker: Wilbur A. Lam, MD, PhD
Title: Clinical Translation of Engineered Microsystems in Hematology
Date: February 5, 2020
Speaker: Alireza Nojeh, University of British Columbia
Title: Vacuum Nanoelectronics
Date: October 30, 2019
Speaker: Nicholas Madamopoulos, The City College of the City University of New York (CUNY)
Title: Multifunctional Photonic Signal Processing Platforms for Analog and Digital Signal Processing
 
 
Date: April 17, 2019
Speaker: Maysam Chamanzar, CMU
Title: From Flexible Implants to Virtual Acousto-optic Neural Interfaces
Date: March 27, 2019
Speaker: Mehmet Toner, Harvard Medical School
Title: Extreme Microfluidics - Label Free Sorting of Extremely Rare Circulating Tumor Cells and Clusters
 
 
 
 
 
 
 
 
Date: March 8, 2019
Speaker: Mary 'Missy’ Cummings, Duke University
Title: A Machine Learning Approach to Modeling Human Interaction with Autonomous Systems