Roy Shilkrot

Dr. Roy Shilkrot combines roles as Part-time Lecturer in Computer Science at Tufts University with industry leadership as Chief Scientist at Tulip Interfaces. His multifaceted career spans academia, entrepreneurship, and industrial R&D.

Research focuses on human-computer interaction, computer vision, and applied machine learning, with significant contributions to assistive technologies and document analysis systems. Notable projects include FingerReader (tactile reading aid) and human-robot interaction platforms.

Honored with the IEEE-ICRA 2006 Best Vision Paper Award, he holds 70+ publications and multiple patents. Professional experience includes founding Way2Vat, advising tech companies, and serving as Research Affiliate at MIT Media Lab.

Recent publications (2019-2023) cluster around:

• Document analysis and information extraction using deep learning
• Accessibility technologies for visually impaired users
• Human-robot interaction and industrial applications
• Marketplace systems for supply chain optimization