Dr. Joel Harley is co-PI on a project that combines artificial intelligence and deep learning with materials and chemical science.
Harley Uses Deep Learning to Understand Abnormal Grain Growth
Tag: machine learning
Seminar: Kejun Huang
Kejun Huang is currently an assistant professor in the Department of Computer and Information Science and Engineering at University of Florida. He presents “Latent Variable Identification using Identifiable Matrix Factorization Methods,” Thursday, Sept. 26 at 1:00 pm in LAR 310.
Seminar: Nicholas Napoli
Dr. Nicholas Napoli (UF ISE) presents “Predicting Human Performance and Systemic Physiology through Multi-Modal Sensing,” Thursday, Sept. 19 at 1:00 pm in LAR 310.
Seminar: Dr. Alina Zare
Alina Zare is an Associate Professor in the Electrical and Computer Engineering Department. She presents “Plant Root Analysis with Multiple Instance Learning,” Thursday, Sept. 12 @ 1:00pm.
Mohseni Lab’s Work on Intelligent Robots Featured in Nature Machine Intelligence
ECE Professor Kamran Mohseni and Kevin Nelson, a graduate research assistant working with Mohseni’s Research Group, were recently honored to find their work on the cover of the Nature Machine Intelligence.
Seminar: Nikolaos P. Papanikolopoulos
Nikolaos P. Papanikolopoulos is a McKnight Presidential Endowed Professor and a Distinguished McKnight University Professor in the Department of Computer Science at the University of Minnesota. He presents “Computer Vision and Machine Learning for Cancerous Tissue Recognition” Thursday, April 18 at 11:45 am in LAR 310.
Seminar: Elie Bursztein from Google
Elie Bursztein leads Google’s anti-abuse research. He presents “How to Successfully Harness AI to Combat Fraud and Abuse,” Wednesday March 13, 9:00 am, at the Reitz Union Chamber.
Seminar: Yanning Shen
Yanning Shen, PhD candidate at UMN, presents “Online Scalable Learning Adaptive to Unknown Dynamics and Graphs” on Thursday, March 7, 11:45 am, in LAR 234.
Seminar: Yunye Gong
Yunye Gong is a Ph.D. candidate in Electrical and Computer Engineering at Cornell University. She presents “Computational image understanding via statistical inference and machine learning” Thursday, Feb. 28 @ 11:45 am, LAR 310.
Seminar: Feng Chen
Dr. Feng Chen is an Assistant Professor, Department of Computer Science at the University at Albany—SUNY. He presents “Towards Automating Machine Learning for Pattern Discovery in Big Attributed Networks,” Thursday, Feb. 21, at 11:45 a.m. in LAR 310.