• 1358 Citations
  • 20 h-Index
20012022

Research output per year

If you made any changes in Pure these will be visible here soon.

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

Fingerprint Dive into the research topics where Senem Velipasalar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 11 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects

Research Output

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

  • 2 Scopus citations

    Actor-critic deep reinforcement learning for dynamic multichannel access

    Zhong, C., Lu, Z., Gursoy, M. C. & Velipasalar, S., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 599-603 5 p. 8646405. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

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

  • 1 Scopus citations
  • Deep learning based power control for quality-driven wireless video transmissions

    Ye, C., Gursoy, M. C. & Velipasalar, S., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 574-578 5 p. 8646470. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

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

  • Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks

    Zhong, C., Gursoy, M. C. & Velipasalar, S., May 1 2019, 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8762084. (IEEE International Conference on Communications; vol. 2019-May).

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