Deep learning has shown superior performance for automating image recognition tasks, exceeding human capabilities in both time and accuracy. Histopathology diagnostics is one of the more popular challenges at the intersection of artificial intelligence, computer vision, and medicine. Developing methods to automatically segment and detect pathologies in digitized histology slides imposes unique challenges due to the large size of these images and the complexity of the features present in biological tissue.
Computer Science
April 2023
Wednesday, April 12 @1 pm
Workshop / Seminar
Online - Online
Tuesday, April 18 @1 pm
Workshop / Seminar
WSU Pullman - Electrical and Mechanical Engineering Building
Student: Abodh Poudyal
Degree: Electrical Engineering Ph.D.
Title: Resilience Planning and Optimization of Electric Power Systems against Extreme Weather Events
Wednesday, April 19 @10 am
Workshop / Seminar
WSU Pullman - Electrical and Mechanical Engineering Building
Student: Rabayet Sadnan
Degree: Electrical and Computer Engineering PhD
Thesis Title: Distributed Computation and Optimization for Electric Power Distribution Systems
Thursday, April 20 @1:30 pm
Workshop / Seminar
WSU Tri-Cities - Elson S. Floyd Building - WSU Tri-Cities
Student: Suraiya Akhter
Degree: Computer Science MS
Thesis Title: Machine Learning-Based Prediction of Bacteriocins via Feature Evaluation
Thursday, April 20 @3 pm
Workshop / Seminar
Online - Online
Student: Vincent Lombardi
Degree: Computer Science MS
Thesis Title: Bootcamp Method for Training General Purpose AI Agents