Date: March 8, 2019
Title: A Machine Learning Approach to Modeling Human Interaction with Autonomous Systems
Irons Endowed Lectures
Henry R. Irons (BS'43 and MS'47) established the 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.
About Henry Raymond Irons
Henry Raymond Irons, age 92, of Emlenton, PA passed away on October 17, 2013. He was born in Lakewood, New Jersey on January 19, 1921. Mr. Irons received a Masters Degree in Electrical Engineering from Rutgers University. During his 30 year career at the Naval Research Laboratory in Silver Spring, MD he patented several inventions.
Mr. Irons worked on radar for the US Navy at the Naval Research Laboratory in Washington, DC, as a civilian electrical engineer after graduating from Rutgers. As World War II progressed, Mr. Irons and his colleagues were inducted into the US Navy, but continued to serve in the same capacity. After the war, Mr. Irons spent much of his career as an engineer with the Naval Surface Weapons Center. His achievements there include co-inventing a magnetometer used to map the Earth's electromagnetic fields (now part of the Smithsonian Air and Space Museum's collection) and designing circuits for the IMP and Explorer VI and XII satellites.
Rutgers Oral History Sessions: Irons, Henry Raymond (May 16, 2008)
The ECE Irons lectures are supported by the Henry R. and Gladys V. Irons Endowed Lectureship Fund.
Date: March 27, 2019
Title: Extreme Microfluidics - Label Free Sorting of Extremely Rare Circulating Tumor Cells and Clusters
Date: April 17, 2019
Title: From Flexible Implants to Virtual Acousto-optic Neural Interfaces
Date: October 30, 2019
Title: Multifunctional Photonic Signal Processing Platforms for Analog and Digital Signal Processing
Date: February 5, 2020
Title: Vacuum Nanoelectronics
Date: March 11, 2020
Title: Clinical Translation of Engineered Microsystems in Hematology
Date: March 29, 2023
Title: Scalable distributed control and learning of networked dynamical systems
Date: April 12, 2023
Title: In-Memory Computing: from Devices to Applications - A Cross-Layer Perspective with a focus on Content Addressable Memories
Date: April 19, 2023
Title: The Connection between Reinforcement Learning and the Gradient Descent
Date: October 4, 2023
Title: Learning to Communicate
Date: November 15, 2023
Title: Visual Revolution: The Power of Images, Video, and Machine Learning
Date: January 31, 2024
Title: Contraction Theory for Optimization, Control, and Neural Networks
Date: October 23, 2024
Title: Optimal Safe-Critical Autonomy for Multi-Agent Systems: Making Autonomous Vehicles a Reality
Date: October 30, 2024
Title: Turing's Echo on Deceptive Machines: The Challenge of Distinguishing Human and AI Creations
Date: February 19, 2025
Title: A Career in Technology Can Change the World: My Professional Journey