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 Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 2 Similar Profiles
Fading channels
Engineering & Materials Science
Antennas
Engineering & Materials Science
Channel estimation
Engineering & Materials Science
Sensors
Engineering & Materials Science
Wireless sensor networks
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
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
Location estimation and detection in wireless sensor networks in the presence of fading
Zhang, X., Tepedelenlioglu, C., Banavar, M. K., Spanias, A. & Muniraju, G., Feb 1 2019, In : Physical Communication. 32, p. 62-74 13 p.Research output: Contribution to journal › Article
Anchors
Fading channels
Wireless sensor networks
Fusion reactions
Rayleigh fading
Max Consensus in the Presence of Additive Noise
Muniraju, G., Tepedelenlioglu, C., Spanias, A., Zhang, S. & Banavar, M. K., 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. 1408-1412 5 p. 8645297. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Additive noise
Parallel algorithms
Algebra
Communication
Offloading Deadline-Constrained Cellular Traffic
Ewaisha, 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. 1447-1451 5 p. 8645151. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Base stations
Scheduling
Polynomials
Photovoltaic array simulation and fault prediction via multilayer perceptron models
Khondoker, F., Rao, S., Spanias, A. & Tepedelenlioglu, C., Feb 1 2019, 2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018. Institute of Electrical and Electronics Engineers Inc., 8633699. (2018 9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Multilayer neural networks
Fault detection
Short circuit currents
Solar energy
Learning algorithms
Projects 2002 2020
SenSIP Project Machine Learning Algorithms
Spanias, A., Tepedelenlioglu, C. & Turaga, P.
INDUSTRY: Various Consortium Members
8/1/18 → 7/31/19
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
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 → 7/31/19
Project: Research project
SenSIP Project: Sequential Localization in Low Power Wireless Sensor Networks with experiments on LTE
Tepedelenlioglu, C. & Spanias, A.
INDUSTRY: Various Consortium Members
10/27/16 → 12/31/18
Project: Research project