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 persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 1 Similar Profiles
Fading channels
Engineering & Materials Science
Antennas
Engineering & Materials Science
Channel estimation
Engineering & Materials Science
Sensors
Engineering & Materials Science
Orthogonal frequency division multiplexing
Engineering & Materials Science
Wireless sensor networks
Engineering & Materials Science
Ultra-wideband (UWB)
Engineering & Materials Science
Channel state information
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1997 2018
Distributed Network Structure Estimation using Consensus Methods
Zhang, S., Tepedelenlioglu, C., Spanias, A. & Banavar, M. Jan 1 2018 In : Synthesis Lectures on Communications. 10, 1, p. 1-88 88 p.Research output: Contribution to journal › Article
Wireless sensor networks
Parallel algorithms
Military applications
Graph theory
Sensor nodes
Rapidly time-varying channel estimation for full-duplex amplify-and-forward one-way relay networks
Senol, H., Li, X. & Tepedelenlioglu, C. Jun 1 2018 In : IEEE Transactions on Signal Processing. 66, 11, p. 3056-3069 14 p.Research output: Contribution to journal › Article
Channel estimation
Mean square error
Channel state information
Computer simulation
A signal recovery method for array processing
Fan, J., Spanias, A. & Tepedelenlioglu, C. 2017 Proceedings of the IASTED International Conference Modelling, Identification and Control, MIC 2017. Acta Press, Vol. 848, p. 133-137 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Array processing
Recovery
Matrix Completion
Missing Data
Simulation Methods
A Unified Approach for Modeling Fading Channels Using Infinitely Divisible Distributions
Rajan, A., Tepedelenlioglu, C. & Zeng, R. Sep 28 2017 (Accepted/In press) In : IEEE Transactions on Vehicular Technology.Research output: Contribution to journal › Article
Infinitely Divisible Distribution
Fading Channels
Random variables
Fading channels
Random variable
1
Citations
A unified fading model using generalized gamma convolutions
Rajan, A., Tepedelenlioglu, C. & Zeng, R. May 10 2017 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7925519Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Convolution
Random variables
Fading (radio)
Communication
Projects 2002 2020
SenSIP Project: Cloud Computing and Signal Processing for Solar Energy Analytics and Power Optimization
Tepedelenlioglu, C., Spanias, A. & Scaglione, A.
7/1/17 → 6/30/18
Project: Research project
SenSIP Project: Sequential Localization in Low Power Wireless Sensor Networks with experiments on LTE
Tepedelenlioglu, C. & Spanias, A.
10/27/16 → 9/30/18
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.
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.
9/30/16 → 8/15/18
Project: Research project
Distributed and Robust Estimation for Cyberphysical Systems using a Nonlinear Consensus Approach
Tepedelenlioglu, C. & Spanias, A.
9/1/13 → 8/31/18
Project: Research project