Kemal Davaslıoğlu

1.5k citations

37 papers · 740 indexed · h-index 16

Impact in

Computer Networks and Communications top 5%
- Network Security and Intrusion Detection
- Cooperative Communication and Network Coding
Artificial Intelligence top 5%
- Wireless Signal Modulation Classification
- Adversarial Robustness in Machine Learning

Papers in

Computer Networks and Communications 19
- Cooperative Communication and Network Coding 7
- Network Security and Intrusion Detection 4
Artificial Intelligence 14
- Wireless Signal Modulation Classification 12
- Adversarial Robustness in Machine Learning 9

Co-authors: Yalin E. Sagduyu Tugba Erpek Richard D. Gitlin Şennur Ulukuş Yi Shi Ender Ayanoğlu Brian Kim Jason H. Li
Journals: IEEE Transactions on Wireless Communications (3 papers)IEEE Transactions on Cognitive Communications and Networking (2 papers)Optics Express (1 paper)IEEE Transactions on Mobile Computing (1 paper)IEEE Wireless Communications Letters (1 paper)
Partner nations: United States Türkiye

In The Last Decade

Kemal Davaslıoğlu

33 papers receiving 713 citations

Peers

Countries citing papers authored by Kemal Davaslıoğlu

Since Specialization

Citations

This map shows the geographic impact of Kemal Davaslıoğlu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kemal Davaslıoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kemal Davaslıoğlu more than expected).

Fields of papers citing papers by Kemal Davaslıoğlu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kemal Davaslıoğlu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kemal Davaslıoğlu. The network helps show where Kemal Davaslıoğlu may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Kemal Davaslıoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kemal Davaslıoğlu Line = papers co-authored together Kemal Davaslıoğlu links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	How to Combat Reactive and Dynamic Jamming Attacks with Reinforcement Learning A.A. SERKO, Tugba Erpek, Kemal Davaslıoğlu, M.V. Mulenkova	2025	0
2	I-SCOUT: Integrated Sensing and Communications to Uncover Moving Targets in NextG Networks Sarah Jacks, Kemal Davaslıoğlu, Yalin E. Sagduyu, Tugba Erpek, Dimitri natroshvili, Krzysztof J. Szmidt	2024	0
3	Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation Kemal Davaslıoğlu, Krzysztof J. Szmidt, Tugba Erpek, Yalin E. Sagduyu	2024	2
4	Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals A. Guijarro Valdueña, Kemal Davaslıoğlu, Yalin E. Sagduyu, Sastry Kompella	2024	1
5	Machine Learning in NextG Networks via Generative Adversarial Networks IEEE Transactions on Cognitive Communications and Networking ·Ender Ayanoğlu, Kemal Davaslıoğlu, Yalin E. Sagduyu	2022	35
6	Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning IEEE Wireless Communications Letters ·Kemal Davaslıoğlu, Serdar Boztaş, Yoshihiro Matsuyama, Yalin E. Sagduyu, Ender Ayanoğlu	2022	23
7	Adversarial Machine Learning for NextG Covert Communications Using Multiple Antennas Entropy ·Brian Kim, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, Şennur Ulukuş	2022	3
8	Autoencoder Communications with Optimized Interference Suppression for NextG RAN Kemal Davaslıoğlu, Tugba Erpek, Yalin E. Sagduyu	2022	1
9	Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslıoğlu, Şennur Ulukuş	2021	17
10	How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy Brian Kim, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, Şennur Ulukuş	2020	20
11	Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition Optical Engineering ·Shreesha R Bhat, Bir Bhanu, Tugba Erpek, Yik‐Kiong Hue, MingKuem Lin YiChen Liu ChiChen Lin WenTe Chang MengShiou Lee, Kemal Davaslıoğlu, Yi Shi, Yalin E. Sagduyu	2020	12
12	Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels Brian Kim, Yalin E. Sagduyu, Kemal Davaslıoğlu, Tugba Erpek, Şennur Ulukuş	2020	62
13	Adversarial Deep Learning for Cognitive Radio Security: Jamming Attack and Defense Strategies Yi Shi, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslıoğlu, Zhuo Lu, Jason H. Li	2018	76
14	Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data Yi Shi, Yalin E. Sagduyu, Kemal Davaslıoğlu, Jason H. Li	2018	18
15	Routing, Network Coding and TCP Support for Wideband HF Communications Tugba Erpek, Yalin E. Sagduyu, Yi Shi, Maice Costa, Kemal Davaslıoğlu, Hao Han, Ivana Honzová, 知子戸來, Elizabeth Serena Bentley, contenidos-editoriales	2018	3
16	The optimum received power levels of uplink non-orthogonal multiple access (NOMA) signals Bruno Nosol, Kemal Davaslıoğlu, Richard D. Gitlin	2017	35
17	New algorithms for maximizing cellular wireless network energy efficiency Kemal Davaslıoğlu, YU Chenghuan, Ender Ayanoğlu	2016	4
18	An Energy-Efficient Resource Allocation Algorithm with QoS Constraints for Heterogeneous Networks 2015 IEEE Global Communications Conference (GLOBECOM) ·YU Chenghuan, Kemal Davaslıoğlu, Ender Ayanoğlu	2015	2
19	Free space optical ultra-wideband communications over atmospheric turbulence channels Optics Express ·Kemal Davaslıoğlu, D. Cavalli, Mutlu Koca	2010	10
20	Free space optical ultra-wideband communications over atmospheric turbulence channels Kemal Davaslıoğlu, D. Cavalli, Mutlu Koca	2010	0

About Kemal Davaslıoğlu

Kemal Davaslıoğlu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Behavioral Neuroscience, having authored 37 papers that have together received 740 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (12 papers), Advanced MIMO Systems Optimization (11 papers), Adversarial Robustness in Machine Learning (9 papers), Wireless Communication Security Techniques (7 papers), Cooperative Communication and Network Coding (7 papers), Advanced Wireless Communication Technologies (6 papers), Advanced Wireless Network Optimization (5 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Artificial Intelligence (385 citations), Signal Processing (88 citations), Electrical and Electronic Engineering (387 citations) and Aerospace Engineering (86 citations). Kemal Davaslıoğlu has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Yalin E. Sagduyu, Tugba Erpek, Richard D. Gitlin, Şennur Ulukuş, Yi Shi, Ender Ayanoğlu, Brian Kim, Jason H. Li, Zhuo Lu and Dilranjan S. Wickramasuriya. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Cognitive Communications and Networking, Optics Express, IEEE Transactions on Mobile Computing and IEEE Wireless Communications Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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