Ehsan Elhamifar

Research interests

• Artificial intelligence
• Computer vision
• Machine learning

Education

• PhD in Electrical and Computer Engineering, Johns Hopkins University
• MS in Engineering, Johns Hopkins University
• MS in Electrical Engineering, Sharif University of Technology — Iran
• BS in Biomedical Engineering, Amirkabir University of Technology — Iran

Biography

Ehsan Elhamifar is an associate professor and director of the master’s in AI program in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is affiliated with the College of Engineering.

Elhamifar develops AI that understands and learns from complex human activities and scenes using videos and multi-modal data, learns its tasks from fewer examples and less annotated data, and makes real-time inferences as new data arrives. He also combines these AI systems with AR and VR technologies to aid people in performing complex procedural and physical tasks. In so doing, he pulls from a litany of concepts and disciplines, including long-form and egocentric video understanding, action segmentation, procedure and low-shot learning, fine-grained and multi-label recognition, video summarization, sequence alignment, adversarial attacks, subset selection, manifold clustering, trajectory prediction, sparse and low-rank recovery, and submodular maximization.

Elhamifar is the director of the Mathematical Data Science (MCADS) Lab, which focuses on computer vision, machine learning, and AI. He is also a former postdoctoral scholar at UC Berkeley and a recipient of the DARPA Young Faculty Award.

Recent Publications