CS 640 Lecture Materials: AI Research at Boston University, Fall 2024

AI at BU: University-wide AI Research Initiative Other AI faculty:

• Kayhan Batmanghelich (ML, medical image analysis, bioinformatics)
• Margrit Betke (computer vision, AIEM, medical image analysis, assistive technology and HCI, ML)
• Iddo Drori (ML)
• Prakash Ishwar (ML, computer vision)
• Vijaya Kolachalama (ML applied to medicine)
• Najoung Kim (NLP)
• Janusz Konrad (computer vision)
• Brian Kulis (ML)
• Dokyun Lee (ML applied to e-commerce, consumer analytics, marketing, information systems)
• Bryan Plummer (computer vision)
• Kate Saenko (computer vision, ML, on leave at Facebook this year)
• Venkatesh Saligrama (ML)
• Dean Stan Sclaroff (computer vision)
• Gianluca Stringhini (applied ML, networks)
• Roberto Tron (robotics, computer vision)
• Emily Whiting (graphics, fabrication)
• Derry Wijaya (NLP, AIEM)

Image and Video Computing Group in CS

My AI Research Teams and Projects Active in Fall 2024:

AI & Emerging Media at BU: Wed 9 am, zoom

• NSF on our project to use AI to analyze news on various platforms and in numerous languages.
• Google Research Award to analyze bias in news.

Animal and Human 3D Pose Estimation, Neuroscience-Inspired Perception, Navigation, and Spatial Awareness for Autonomous Robots
We received a large grant involving BU and MIT. My team's focus is animal and human pose and activity recognition. OptiPose. ExerciseCheck.

Camera Mouse

AI-Aphasia Research

Improving Student Learning: Video analysis of facial expressions (Amherst and Worcester)

Pneumonia detection in lung ultrasound video with deep learning. Fridays 9-10 am, zoom.

My Previous Research

Cell image analysis project

Video analysis of group behavior of animals

Medical Image Analysis and and Lung Cancer Detection

Ear Biometrics Research

Proficio: Robotic arm for physical therapy.

Margrit Betke, Professor Computer Science Department Boston University Boston, MA 02215 Email: betke @ bu.edu URL: https://www.cs.bu.edu/faculty/betke