Cihan Tepedelenlioglu

Associate Professor

Associate Professor, IAFSE-SEMTE: Adaptive Intelligent Materials and Systems Center (AIMS)
Associate Professor, IAFSE-ECEE: Sensor, Signal and Information Processing Center (SenSIP)
Associate Professor, IAFSE-ECEE: Electrical Engineering
Associate Professor, Electrical, Computer, and Energy Engineering, School of (ECEE)

Source: Scopus
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Personal profile

Education/Academic qualification

PHD, University of Minnesota-Minneapolis

… → 2001

MS, University of Virginia

… → 1998

BS, Florida Institute of Technology

… → 1995

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3566 Citations
27 h-Index
136 Conference contribution
80 Article
3 Patent
2 Chapter
More

Subspace-Based Estimation of Rapidly Varying Mobile Channels for OFDM Systems
Senol, H. & Tepedelenlioglu, C., 2021, In: IEEE Transactions on Signal Processing. 69, p. 385-400 16 p., 9296822.
Research output: Contribution to journal › Article › peer-review
Consensus Based Distributed Spectral Radius Estimation
Muniraju, G., Tepedelenlioglu, C. & Spanias, A., 2020, In: IEEE Signal Processing Letters. 27, p. 1045-1049 5 p., 9119754.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Fault Classification in Photovoltaic Arrays Using Graph Signal Processing
Fan, J., Rao, S., Muniraju, G., Tepedelenlioglu, C. & Spanias, A., Jun 10 2020, Proceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020. Institute of Electrical and Electronics Engineers Inc., p. 315-319 5 p. 9274763. (Proceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations
Machine Learning for Solar Array Monitoring, Optimization, and Control
Rao, S., Katoch, S., Narayanaswamy, V., Muniraju, G., Tepedelenlioglu, C., Spanias, A., Turaga, P., Ayyanar, R. & Srinivasan, D., 2020, In: Synthesis Lectures on Power Electronics. 7, 1, p. 1-91 91 p.
Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Analysis and design of robust max consensus for wireless sensor networks
Muniraju, G., Tepedelenlioglu, C. & Spanias, A., Dec 2019, In: IEEE Transactions on Signal and Information Processing over Networks. 5, 4, p. 779-791 13 p., 8859263.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations

6 Active
15 Finished

MRI: Development of a Sensors and Machine Learning Instrument Suite for Solar Array Monitoring
Lei, Q., Goodnick, S., Kitchen, J., Tepedelenlioglu, C., Ayyanar, R. & Spanias, A.
National Science Foundation (NSF)
10/1/20 → 9/30/23
Project: Research project
RAPID: Collaborative Research: Covid-19 Hotspot Network Size and Node Counting using Consensus Estimation
Tepedelenlioglu, C. & Spanias, A.
National Science Foundation (NSF)
6/15/20 → 5/31/21
Project: Research project
SenSIP Project-Cellular-Adhoc Resource Allocation Tradeoffs in 5G Systems A Machine Learning Perspective
Spanias, A., Tepedelenlioglu, C. & Alkhateeb, A.
INDUSTRY: Various Consortium Members
8/1/19 → 7/31/21
Project: Research project
SenSIP Project Machine Learning Algorithms
Spanias, A., Tepedelenlioglu, C. & Turaga, P.
INDUSTRY: Various Consortium Members
8/1/18 → 12/20/21
Project: Research project
CPS: Synergy: Image Modeling and Machine Learning Algorithms for Utility-Scale Solar Panel Monitoring
Spanias, A., Ayyanar, R., Tepedelenlioglu, C. & Turaga, P.
National Science Foundation (NSF)
10/1/16 → 9/30/21
Project: Research project