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
MINDS Director Rene Vidal wins IEEE Signal Processing Magazine Best Paper Award
EEE Signal Processing Magazine is a scientific journal that publishes advances in signal processing, a branch of electrical engineering that models and analyzes data. The Best Paper Award honors the author of a paper of “exceptional merit and broad interest” that has appeared in the magazine ten or more years ago. Vidal’s
Johns Hopkins and Amazon collaborate to explore transformative power of AI
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
Bloomberg Distinguished Professor Rama Chellappa elected to American Institute for Medical and Biological Engineering’s College of Fellows.
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
René Vidal receives IEEE Computer Society’s 2021 Edward J. McCluskey Technical Achievement Award
René Vidal, the director of the Mathematical Institute for Data Science (MINDS) and the Herschel L. Seder Professor in Johns Hopkins University’s Department of Biomedical Engineering, is a recipient of the IEEE Computer Society’s 2021 Edward J. McCluskey Technical Achievement Award. More information can be found here.
Joshua Agterberg wins award for best presentation at ASA’s Nonparametric Statistics Student Competition
Doctoral student Joshua Agterberg, whose work focuses on theoretical problems in data science and statistics, won for his presentation on “Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues.” More information can be found here.
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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
Theorinet Retreat 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
Associate Professor Vladimir Braverman’s Nitrosketch method is adopted by Intel Software Stack
MINDS would like to congratulate Associate Professor Vladimir Braverman, whose Nitrosketch method (SIGCOMM’19) has been adopted by Intel DPDK-based Dynamic Load Balancer and is now part of Intel Software Stack that is routinely used by cloud providers and telecom vendors. The solution, which was recently presented by Intel at the DPDK 2021
MINDS Director René Vidal works to ensure the safety of autonomous systems
Using a $7.5 million, five-year grant from the U.S. Department of Defense, a multi-university team that includes Johns Hopkins engineers is tackling one of today’s most complex and important technological challenges: How to ensure the safety of autonomous systems, from self-driving cars and aerial delivery drones to robotic surgical assistants. “The