Johns Hopkins + AI2AI announces Fellows and Faculty Research Awards

/ October 16, 2023

The Johns Hopkins University + Amazon Initiative for Artificial Intelligence (AI2AI) announces the selection of its 2023-2024 Fellows and Faculty Research Awards. Exceptional JHU WSE PhD candidates have been selected based on their outstanding publication record, research proposal, and mentor support. They include Jiang Liu, Department of Electrical and Computer Engineering and Mathematical Institute

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Chellappa honored with IEEE Computer Society’s Distinguished Researcher Award 

/ October 16, 2023

Rama Chellappa, Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering, has been selected to receive the Distinguished Researcher Award from IEEE Computer Society’s Pattern Analysis and Machine Intelligence Technical Committee. This award is presented to candidates whose research has significantly contributed to the progress of computer vision. Candidates are

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Johns Hopkins and Amazon collaborate to explore transformative power of AI

/ April 12, 2022

Johns Hopkins University and Amazon are teaming up to harness the power of artificial intelligence to transform the way humans interact online and with the world. The new JHU + Amazon Initiative for Interactive AI, housed in the Johns Hopkins Whiting School of Engineering, will leverage the university’s world-class expertise in

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Bloomberg Distinguished Professor Rama Chellappa elected to American Institute for Medical and Biological Engineering’s College of Fellows.

/ February 11, 2022

MINDS would like to congratulate Rama Chellappa, Bloomberg Distinguished Professor in the departments of Electrical and Computer Engineering and Biomedical Engineering and chief scientist at the Johns Hopkins Institute for Assured Autonomy, on his election to the American Institute for Medical and Biological Engineering’s College of Fellows. Election to the AIMBE

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Untitled Copy

/ September 23, 2021

Recordings: September 20th, 2021: Session 1: Overparameterization September 20th, 2021 Session 2: Optimization and robustness September 21st, 2021: Session 1: Learning on graphs September 21st, 2021: Session 2: Limits of learning