Kemal Davaslioglu

Kemal Davaslioglu

University of California, Irvine

H-index: 24

North America-United States

About Kemal Davaslioglu

Kemal Davaslioglu, With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Communication Theory, Signal Processing, Artificial Intelligence / Machine Learning, Computer Vision, Synthetic data generation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and methods for deep reinforcement learning for optimal power control in wireless networks

Autoencoder Communications with Optimized Interference Suppression for NextG RAN

Adversarial machine learning for nextg covert communications using multiple antennas

Machine learning in NextG networks via generative adversarial networks

Deep reinforcement learning for power control in next-generation wifi network systems

Self-supervised RF signal representation learning for NextG signal classification with deep learning

Deep Learning with Interference Training for Adaptive Radar Beamforming

Channel effects on surrogate models of adversarial attacks against wireless signal classifiers

Kemal Davaslioglu Information

University

Position

Intelligent Automation Inc;

Citations(all)

1568

Citations(since 2020)

1334

Cited By

713

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

33

i10Index(since 2020)

28

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Kemal Davaslioglu Skills & Research Interests

Communication Theory

Signal Processing

Artificial Intelligence / Machine Learning

Computer Vision

Synthetic data generation

Top articles of Kemal Davaslioglu

Title

Journal

Author(s)

Publication Date

Systems and methods for deep reinforcement learning for optimal power control in wireless networks

2023/9/12

Autoencoder Communications with Optimized Interference Suppression for NextG RAN

Kemal Davaslioglu

Tugba Erpek

Yalin E Sagduyu

2022/10/10

Adversarial machine learning for nextg covert communications using multiple antennas

Entropy

Brian Kim

Yalin Sagduyu

Kemal Davaslioglu

Tugba Erpek

Sennur Ulukus

2022/7/29

Machine learning in NextG networks via generative adversarial networks

IEEE Transactions on Cognitive Communications and Networking

Ender Ayanoglu

Kemal Davaslioglu

Yalin E Sagduyu

2022/2/23

Deep reinforcement learning for power control in next-generation wifi network systems

Ziad El Jamous

Kemal Davaslioglu

Yalin E Sagduyu

2022/11/28

Self-supervised RF signal representation learning for NextG signal classification with deep learning

IEEE Wireless Communications Letters

Kemal Davaslioglu

Serdar Boztaş

Mehmet Can Ertem

Yalin E Sagduyu

Ender Ayanoglu

2022/10/26

Deep Learning with Interference Training for Adaptive Radar Beamforming

Kemal Davaslioglu

Tugba Erpek

Yalin E Sagduyu

Nof Abuzainab

David Hartman

2022/10/11

Channel effects on surrogate models of adversarial attacks against wireless signal classifiers

Brian Kim

Yalin E Sagduyu

Tugba Erpek

Kemal Davaslioglu

Sennur Ulukus

2021/6/14

Collective allostatic load measures for teams

Structural Health Monitoring

Kemal Davaslioglu

Bob Pokorny

Yalin E Sagduyu

Henrik Molintas

Sohraab Soltani

...

2021/5

End-to-end autoencoder communications with optimized interference suppression

arXiv preprint arXiv:2201.01388

Kemal Davaslioglu

Tugba Erpek

Yalin E Sagduyu

2021/12/29

Channel-aware adversarial attacks against deep learning-based wireless signal classifiers

IEEE Transactions on Wireless Communications

Brian Kim

Yalin E Sagduyu

Kemal Davaslioglu

Tugba Erpek

Sennur Ulukus

2021/11/9

Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition

Optical Engineering

Rajkumar Theagarajan

Bir Bhanu

Tugba Erpek

Yik-Kiong Hue

Robert Schwieterman

...

2020/5/1

Over-the-air adversarial attacks on deep learning based modulation classifier over wireless channels

Brian Kim

Yalin E Sagduyu

Kemal Davaslioglu

Tugba Erpek

Sennur Ulukus

2020/3/18

Adversarial attacks with multiple antennas against deep learning-based modulation classifiers

Brian Kim

Yalin E Sagduyu

Tugba Erpek

Kemal Davaslioglu

Sennur Ulukus

2020/12/7

Generative adversarial network in the air: Deep adversarial learning for wireless signal spoofing

IEEE Transactions on Cognitive Communications and Networking

Yi Shi

Kemal Davaslioglu

Yalin E Sagduyu

2020/7/20

Over-the-air membership inference attacks as privacy threats for deep learning-based wireless signal classifiers

Yi Shi

Kemal Davaslioglu

Yalin E Sagduyu

2020/7/13

See List of Professors in Kemal Davaslioglu University(University of California, Irvine)

Co-Authors

H-index: 43
Ender Ayanoglu

Ender Ayanoglu

University of California, Irvine

H-index: 7
Cemil Can Coskun

Cemil Can Coskun

University of California, Irvine

H-index: 5
Nabeel Sulieman

Nabeel Sulieman

University of South Florida

H-index: 4
Calvin Apollos Perumalla

Calvin Apollos Perumalla

University of South Florida

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