Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PHD, University of Minnesota-Minneapolis
… → 2001
MS, University of Virginia
… → 1998
BS, Florida Institute of Technology
… → 1995
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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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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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Graph-Based Classification with Multiple Shift Matrices
Fan, J., Tepedelenlioglu, C. & Spanias, A., 2022, (Accepted/In press) In: IEEE Transactions on Signal and Information Processing over Networks.Research output: Contribution to journal › Article › peer-review
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Channel Inclusion beyond Discrete Memoryless Channels
Tepedelenlioglu, C., Jul 12 2021, 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1278-1283 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2021-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization
Muniraju, G., Kailkhura, B., Thiagarajan, J. J., Bremer, P. T., Tepedelenlioglu, C. & Spanias, A., Mar 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 3, p. 1241-1253 13 p., 9069306.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Distributed Edge Counting for Wireless Sensor Networks
Muniraju, G., Tepedelenlioglu, C. & Spanias, A., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 767-771 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays
Rao, S., Muniraju, G., Tepedelenlioglu, C., Srinivasan, D., Tamizhmani, G. & Spanias, A., 2021, In: IEEE Access. 9, p. 120034-120042 9 p., 9525102.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations
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SenSIP Project: COVID-19 Research: Mobile Network and Consensus based Risk Assessment
Spanias, A. & Tepedelenlioglu, C.
INDUSTRY: Various Consortium Members
12/2/20 → 12/1/22
Project: Research project
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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
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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 → 5/31/23
Project: Research project
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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 → 7/31/22
Project: Research project
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SenSIP Project Machine Learning Algorithms
Spanias, A., Tepedelenlioglu, C. & Turaga, P.
INDUSTRY: Various Consortium Members
8/1/18 → 12/20/22
Project: Research project