Kemal Davaslioglu
Kemal Davaslioglu
Principal Scientist, Nexcepta, Inc.
My research interests are on the areas of machine learning, wireless networks, and computer vision. There are many interesting applications and unsolved questions that lie at the intersection of these research areas. Prior to my current research interests, during my PhD, I worked on developing algorithms for green communications for 5G networks, wireless communication theory, and signal processing for wireless communications.
Latest Papers
End‐to‐End Autoencoder Communications with Optimized Interference Suppression*
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Physical‐Layer Security for 6G
Author(s): Kemal Davaslioglu, Tugba Erpek, Yalin Sagduyu
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
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MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)
Author(s): Srihari Kamesh Kompella, Kemal Davaslioglu, Yalin E. Sagduyu, et. al
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation
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MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)
Author(s): Kemal Davaslioglu, Sastry Kompella, Tugba Erpek, et. al
I-SCOUT: Integrated Sensing and Communications to Uncover Moving Targets in NextG Networks
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MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM)
Author(s): Utku Demir, Kemal Davaslioglu, Yalin E. Sagduyu, et. al
Self-Supervised RF Signal Representation Learning for NextG Signal Classification With Deep Learning
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IEEE Wireless Communications Letters
Author(s): Kemal Davaslioglu, Serdar Boztas, Mehmet Can Ertem, et. al
Deep Reinforcement Learning for Power Control in Next-Generation WiFi Network Systems
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MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM)
Author(s): Ziad El Jamous, Kemal Davaslioglu, Yalin E. Sagduyu
Deep Learning with Interference Training for Adaptive Radar Beamforming
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2022 IEEE International Symposium on Phased Array Systems & Technology (PAST)
Author(s): Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu, et. al
Autoencoder Communications with Optimized Interference Suppression for NextG RAN
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2022 IEEE Future Networks World Forum (FNWF)
Author(s): Kemal Davaslioglu, Tugba Erpek, Yalin E. Sagduyu
Machine Learning in NextG Networks via Generative Adversarial Networks
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IEEE Transactions on Cognitive Communications and Networking
Author(s): Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers
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IEEE Transactions on Wireless Communications
Author(s): Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, et. al