Research Output per year
Personal profile
Education/Academic qualification
PHD, University of Minnesota-Minneapolis
… → 2001
MS, University of Virginia
… → 1998
BS, Florida Institute of Technology
… → 1995
Fingerprint Dive into the research topics where Cihan Tepedelenlioglu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Fading channels
Engineering & Materials Science
Antennas
Engineering & Materials Science
Channel estimation
Engineering & Materials Science
Wireless sensor networks
Engineering & Materials Science
Sensors
Engineering & Materials Science
Orthogonal frequency division multiplexing
Engineering & Materials Science
Communication
Engineering & Materials Science
Fusion reactions
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1997 2019
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
Wireless sensor networks
Additive noise
Parallel algorithms
Algebra
Communication
3
Citations
(Scopus)
Connection topology optimization in photovoltaic arrays using neural networks
Narayanaswamy, V. S., Ayyanar, R., Spanias, A., Tepedelenlioglu, C. & Srinivasan, D., May 1 2019, Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019. Institute of Electrical and Electronics Engineers Inc., p. 167-172 6 p. 8780242. (Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Shape optimization
Topology
Neural networks
Multilayer neural networks
Cyber Physical System
6
Citations
(Scopus)
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing
Ramakrishna, R., Scaglione, A., Spanias, A. & Tepedelenlioglu, C., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4440-4444 5 p. 8682854. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Array processing
Error analysis
Communication
Experiments
Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems
Andrade, J., Katoch, S., Turaga, P., Spanias, A., Tepedelenlioglu, C. & Jaskie, K., Jul 2019, 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019. Institute of Electrical and Electronics Engineers Inc., 8900762. (10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Imaging systems
Sun
Power generation
Satellites
Imaging techniques
1
Citation
(Scopus)
Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems
Li, X., Alkhateeb, A. & Tepedelenlioglu, C., 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. 1572-1576 5 p. 8645463. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Millimeter waves
Covariance matrix
Channel estimation
Learning systems
Projects 2002 2020
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 → 7/31/20
Project: Research project
SenSIP Project Machine Learning Algorithms
Spanias, A., Tepedelenlioglu, C. & Turaga, P.
INDUSTRY: Various Consortium Members
8/1/18 → 7/31/20
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 → 9/30/20
Project: Research project
SenSIP Project: Minimally Supervised Machine Learning for Condition Monitoring of Machinery
Spanias, A., Berisha, V. & Tepedelenlioglu, C.
INDUSTRY: Various Consortium Members
9/30/16 → 7/31/20
Project: Research project
SenSIP Project: Cloud Computing and Signal Processing for Solar Energy Analytics and Power Optimization
Tepedelenlioglu, C., Spanias, A. & Scaglione, A.
INDUSTRY: Various Consortium Members
7/1/17 → 12/15/19
Project: Research project