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.
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Date: November 15, 2023 Speaker: Prof. Scott Acton, University of Virginia Title: Visual Revolution: The Power of Images, Video, and Machine Learning |
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Date: October 4, 2023 Speaker: Prof. Robert Calderbank, Duke University Title: Learning to Communicate |
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Date: April 19, 2023 Speaker: Prof. Alex Olshevsky, Boston University Title: The Connection between Reinforcement Learning and the Gradient Descent |
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Date: April 12, 2023 Speaker: Prof. Xiaobo Sharon Hu, University of Notre Dame Title: In-Memory Computing: from Devices to Applications - A Cross-Layer Perspective with a focus on Content Addressable Memories |
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Date: March 29, 2023 Speaker: Prof. Na Li, Harvard University Title: Scalable distributed control and learning of networked dynamical systems |
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Date: March 11, 2020 Speaker: Wilbur A. Lam, MD, PhD Title: Clinical Translation of Engineered Microsystems in Hematology |
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Date: February 5, 2020 Speaker: Alireza Nojeh, University of British Columbia Title: Vacuum Nanoelectronics |
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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 |
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Date: April 17, 2019 Speaker: Maysam Chamanzar, CMUTitle: From Flexible Implants to Virtual Acousto-optic Neural Interfaces |
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Date: March 27, 2019 Speaker: Mehmet Toner, Harvard Medical School Title: Extreme Microfluidics - Label Free Sorting of Extremely Rare Circulating Tumor Cells and Clusters |
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Date: March 8, 2019 Speaker: Mary 'Missy’ Cummings, Duke University Title: A Machine Learning Approach to Modeling Human Interaction with Autonomous Systems |
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