• 1442 Citations
  • 20 h-Index
20012020

Research output per year

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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.

Education

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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Projects

Research Output

3D Capsule Networks for Object Classification with Weight Pruning

Kakillioglu, B., Ren, A., Wang, Y. & Velipasalar, S., Jan 1 2020, In : IEEE Access. 8, p. 27393-27405 13 p., 8984369.

Research output: Contribution to journalArticle

Open Access
  • Autonomous Selective Parts-Based Tracking

    Cornacchia, M. & Velipasalar, S., Jan 1 2020, In : IEEE Transactions on Image Processing. 29, p. 4349-4361 13 p., 8967195.

    Research output: Contribution to journalArticle

  • Deep Reinforcement Learning Based Edge Caching in Wireless Networks

    Zhong, C., Gursoy, M. C. & Velipasalar, S., Jan 1 2020, (Accepted/In press) In : IEEE Transactions on Cognitive Communications and Networking.

    Research output: Contribution to journalArticle

  • Throughput Analysis of Low-Latency IoT Systems with QoS Constraints and Finite Blocklength Codes

    Hu, Y., Li, Y., Gursoy, M. C., Velipasalar, S. & Schmeink, A., Mar 2020, In : IEEE Transactions on Vehicular Technology. 69, 3, p. 3093-3104 12 p., 8964482.

    Research output: Contribution to journalArticle

  • 3D Capsule Networks for Object Classification from 3D Model Data

    Ahmad, A., Kakillioglu, B. & Velipasalar, S., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 2225-2229 5 p. 8645256. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 3 Scopus citations