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Personal profile

Research interests

Dr. Velipasalar’s primary areas of research are embedded computer vision, mobile camera applications and wireless embedded smart cameras, which combine sensing, processing and communication on a single embedded platform. Dr. Velipasalar has been working on designing resource-efficient algorithms that are suitable for embedded platforms, fall detection, step counting and activity classification with wearable cameras, traffic light detection and alert signal detection with vehicle-mounted cameras, distributed target detection and tracking across overlapping and non-overlapping cameras, and resource allocation strategies and detection of events of interest on embedded smart cameras. Potential uses include military surveillance, public transportation, health care and elder care, traffic systems, and industrial and retail applications.


Electrical Engineering, PhD, Princeton University

… → 2007

Electrical Engineering, MA, Princeton University

… → 2004

Electrical Sciences and Computer Engineering, MS, Brown University

… → 2001

Electric & Electronics Engineering, BS, Bogazici University

… → 1999


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