Projects per year
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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Collaborations and top research areas from the last five years
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CNS Core: Small: Robust and Decentralized Mobility and Connectivity Management in UAV-Enabled Aerial Wireless Networks
Gursoy, M. C. (PI) & Velipasalar, S. (CoI)
10/1/22 → 9/30/25
Project: Sponsored Project
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Deep InSight: Deep Extraction of Driver State from Naturalistic Driving Dataset
Velipasalar, S. (PI)
8/20/19 → 8/19/23
Project: Sponsored Project
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Aerial Intelligence for Retrofit Building Energy Modeling (AirBEM)
Velipasalar, S. (PI) & Bogucz, E. A. (CoI)
8/1/19 → 7/31/23
Project: Sponsored Project
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Reliable Perception and Control for UAV Navigation in 3D Space
Qiu, Q. (PI), Sanyal, A. (CoI) & Velipasalar, S. (CoI)
5/1/19 → 4/30/22
Project: Sponsored Project
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Microcam: A Low Power and Privacy Preserving Multi-Modal Sensor Platform for Occupancy Detection and Energy Savings in Residential Buildings
Velipasalar, S. (PI), Varshney, P. K. (CoI) & Isik, C. (CoI)
3/9/19 → 8/30/22
Project: Sponsored Project
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Anomaly Detection via Learning-Based Sequential Controlled Sensing
Joseph, G., Zhong, C., Gursoy, M. C., Velipasalar, S. & Varshney, P. K., Jul 1 2024, In: IEEE Sensors Journal. 24, 13, p. 21025-21037 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
BGDNet: Background-guided Indoor Panorama Depth Estimation
Chen, J., Wan, Z., Narayana, M., Li, Y., Hutchcroft, W., Velipasalar, S. & Kang, S. B., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society, p. 1272-1281 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Entry/Poem › Conference contribution
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DepthVoting: A Few-Shot Point Cloud Classification Model Incorporating a Projection-Based Voting Mechanism
Zhu, Y., Chen, J. & Velipasalar, S., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society, p. 699-707 9 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Entry/Poem › Conference contribution
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Improving robustness and efficiency of edge computing models
Li, Y., Lu, Y., Cui, H. & Velipasalar, S., Aug 2024, In: Wireless Networks. 30, 6, p. 4699-4711 13 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification
Chen, J., Yang, M. & Velipasalar, S., Jan 3 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 2720-2728 9 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).Research output: Chapter in Book/Entry/Poem › Conference contribution
Press and Media
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ECS Professor Elizabeth Carter Studies, Forecasts Floods
9/25/24
1 item of Media coverage
Press/Media: Expert Comment
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ECS Professor Elizabeth Carter Studies, Forecasts Floods
9/25/24
2 items of Media coverage
Press/Media: Expert Comment
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Studies from Syracuse University in the Area of Information Technology Reported (A Survey On Driver Behavior Analysis From In-vehicle Cameras)
8/10/23
1 item of Media coverage
Press/Media: Expert Comment
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U.S. Patents Awarded to Inventors in New Jersey (March 16)
3/16/23
1 item of Media coverage
Press/Media: Expert Comment
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U.S. Patents Awarded to Inventors in New York (March 16)
3/16/23
1 item of Media coverage
Press/Media: Expert Comment