UMBC CSEE professors Konstantinos Kalpakis and Dong Li received research funding from the University of Maryland, Baltimore’s Institute for Clinical and Translational Research to collaborate with...
May 27, 2025
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2:21 PM
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Mechanical engineering Ph.D. student Md Badrul Hasan received the 2025 Professor Kirti “Karman” Ghia Memorial Award from the American Institute of Aeronautics and Astronautics for his research...
March 8, 2025
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10:21 AM
12-1pm EST Mon., Feb. 3, 2025, 409 Sondheim Hall, UMBC
UMBC Joint Statistics and Applied Mathematics Colloquium Machine Learning for Scientific Computing Felix Ye, SUNY Albany 12-1pm EST Monday, Feb. 3, 2025 409 Sondheim Hall, UMBC The...
January 30, 2025
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5:50 PM
10-11am Thursday, Jan. 30, 2025; ITE459 and online
Securing Distributed Networks: Leveraging Reinforcement Learning and Game Theory for Attack Detection and Mitigation Dr. Md Tariqul Islam, Syracuse University 10-11am January 30, 2025; ITE 459,...
January 23, 2025
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10:32 AM
11-12pm EST Mon, Dec. 11, 2024, U. MD, Baltimore & online
Advancing machine learning methodology for applications in gerontology Dr. Jaime Lynn Speiser, Wake Forest University School of Medicine 11-12pm EST Mon, Dec. 11, 2024 U. of Maryland, Baltimore...
November 23, 2024
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5:29 PM
12-1 pm EST, Thursday November 21, 2024 online
Join Shane Emmons of Swept AI as he does a dive deep into AI model drift, where unexpected behavior is guaranteed in the UMBC Training Centers Center for Appllied AI lunchbox series. Drift in...
November 19, 2024
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11:08 AM
11-12pm Wed., Nov. 13, in-person in Physics 401 at UMBC
Professor Maria Janeth Molina from the University of Maryland talk on Machine learning for Earth System Prediction and Predictability, 11-12pm on Wednesday, November 13 in Physics 401 at UMBC....
November 10, 2024
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7:32 PM
1-2 pm EDT Friday, November 1, 2024, online
UMBC Cyber Defense Lab presents FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation Dr. Keke Chen, UMBC 1-2 pm EDT Friday, Nov. 1, 2024, online Joint...
October 28, 2024
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11:23 AM
4-5pm EDT Tuesday, October 29, 2024, online
ML Reproducibility: Sources of Algorithmic, Implementation, and Observational Variability Kevin Coakley, UC San Diego 4-5pm EDT Tue., 29 Oct. 2024, online Reproducibility is fundamental to...
October 23, 2024
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9:40 AM
estimating voltage over the entire distribution feeder
Machine Learning based Voltage Monitoring in Real-time Unobservable Distribution Systems Prof. Anamitra Pal, Arizona State University 10:30-11:30am ET, Thursday, May 23, 2024 UMBC, 325b...
May 17, 2024
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2:04 PM