5 citations · 18 across the 25 of their papers we have counts for
29 papers
BEACON-SP: Ontology-Grounded GraphRAG Framework for Clinical Suicide Risk Assessment
Kemal Davaslioglu, Nathan Conger, Sastry Kompella +2
We present BEACON-SP, an ontology-grounded Graph Retrieval-Augmented Generation (GraphRAG) framework for clinician-facing decision support in behavioral health settings such as sui…
Sigma-Hunter: A Domain-Specific Language Model for Threat Hunting and Detection Engineering
Kemal Davaslioglu, Sastry Kompella
Detection engineers must translate threat reports, forensic observations, and hunt hypotheses into precise, testable rules. General-purpose large language models (LLMs) can draft s…
Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning
Michael Lanier, Luise Ge, Sastry Kompella +1
Many decentralized distillation methods are designed around training-time coordination, yet deploy each node in isolation even when more capable neighbors remain available at infer…
How to Discover Knowledge for FutureG: Contextual RAG and LLM Prompting for O-RAN
Nathan Conger, Nathan Scollar, Kemal Davaslioglu +2
We present a retrieval-augmented question answering framework for 5G/6G networks, where the Open Radio Access Network (O-RAN) has become central to disaggregated, virtualized, and…
Coordinated Anti-Jamming Resilience in Swarm Networks via Multi-Agent Reinforcement Learning
Bahman Abolhassani, Tugba Erpek, Kemal Davaslioglu +2
Reactive jammers pose a severe security threat to robotic-swarm networks by selectively disrupting inter-agent communications and undermining formation integrity and mission succes…
Targeted Attacks and Defenses for Distributed Federated Learning in Vehicular Networks
Utku Demir, Tugba Erpek, Yalin E. Sagduyu +2
In emerging networked systems, mobile edge devices such as ground vehicles and unmanned aerial system (UAS) swarms collectively aggregate vast amounts of data to make machine learn…
How to Combat Reactive and Dynamic Jamming Attacks with Reinforcement Learning
Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu +1
This paper studies the problem of mitigating reactive jamming, where a jammer adopts a dynamic policy of selecting channels and sensing thresholds to detect and jam ongoing transmi…
MULTI-SCOUT: Multistatic Integrated Sensing and Communications in 5G and Beyond for Moving Target Detection, Positioning, and Tracking
Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek +3
This paper presents a complete signal-processing chain for multistatic integrated sensing and communications (ISAC) using 5G Positioning Reference Signal (PRS). We consider a distr…
Relay Selection and User Equipment Admission in Resource-Efficient NextG Sidelink Communications
Yalin E. Sagduyu, Tugba Erpek, Sastry Kompella +1
5G/6G sidelink communications addresses the challenge of connecting outer UEs, which are unable to directly access a base station (gNodeB), through inner UEs that act as relays to…
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats
Utku Demir, Yalin E. Sagduyu, Tugba Erpek +3
In connected and autonomous vehicles, machine learning for safety message classification has become critical for detecting malicious or anomalous behavior. However, conventional ap…
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
Srihari Kamesh Kompella, Kemal Davaslioglu, Yalin E. Sagduyu +1
Radio frequency (RF) communication has been an important part of civil and military communication for decades. With the increasing complexity of wireless environments and the growi…
Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation
Kemal Davaslioglu, Sastry Kompella, Tugba Erpek +1
Deep Reinforcement Learning (DRL) has been highly effective in learning from and adapting to RF environments and thus detecting and mitigating jamming effects to facilitate reliabl…
I-SCOUT: Integrated Sensing and Communications to Uncover Moving Targets in NextG Networks
Utku Demir, Kemal Davaslioglu, Yalin E. Sagduyu +3
Integrated Sensing and Communication (ISAC) represents a transformative approach within 5G and beyond, aiming to merge wireless communication and sensing functionalities into a uni…
AoI, Timely-Throughput, and Beyond: A Theory of Second-Order Wireless Network Optimization
Daojing Guo, Khaled Nakhleh, I-Hong Hou +2
This paper introduces a new theoretical framework for optimizing second-order behaviors of wireless networks. Unlike existing techniques for network utility maximization, which onl…
Age Optimum Sampling in Non-Stationary Environment
Jinheng Zhang, Haoyue Tang, Jintao Wang +2
In this work, we consider a status update system with a sensor and a receiver. The status update information is sampled by the sensor and then forwarded to the receiver through a c…
Age-Optimal Multi-Flow Status Updating with Errors: A Sample-Path Approach
Yin Sun, Sastry Kompella
In this paper, we study an age of information minimization problem in continuous-time and discrete-time status updating systems that involve multiple packet flows, multiple servers…
Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality
Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski +2
360-degree panoramic videos have gained considerable attention in recent years due to the rapid development of head-mounted displays (HMDs) and panoramic cameras. One major problem…
A Theory of Second-Order Wireless Network Optimization and Its Application on AoI
Daojing Guo, Khaled Nakhleh, I-Hong Hou +2
This paper introduces a new theoretical framework for optimizing second-order behaviors of wireless networks. Unlike existing techniques for network utility maximization, which onl…
Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks
Ahmed M. Bedewy, Yin Sun, Sastry Kompella +1
We consider a joint sampling and scheduling problem for optimizing data freshness in multi-source systems. Data freshness is measured by a non-decreasing penalty function of \emph{…
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures
Konstantinos Poularakis, Qiaofeng Qin, Liang Ma +3
Since the early development of Software-Defined Network (SDN) technology, researchers have been concerned with the idea of physical distribution of the control plane to address sca…
Age-optimal Sampling and Transmission Scheduling in Multi-Source Systems
Ahmed M. Bedewy, Yin Sun, Sastry Kompella +1
In this paper, we consider the problem of minimizing the age of information in a multi-source system, where samples are taken from multiple sources and sent to a destination via a…
Age-Optimal Updates of Multiple Information Flows
Yin Sun, Elif Uysal-Biyikoglu, Sastry Kompella
In this paper, we study an age of information minimization problem, where multiple flows of update packets are sent over multiple servers to their destinations. Two online scheduli…
How Better is Distributed SDN? An Analytical Approach
Ziyao Zhang, Liang Ma, Kin K. Leung +3
Distributed software-defined networks (SDN), consisting of multiple inter-connected network domains, each managed by one SDN controller, is an emerging networking architecture that…
Coexistence of Radar and Communication Systems in CBRS Bands Through Downlink Power Control
Neelakantan Nurani Krishnan, Ratnesh Kumbhkar, Narayan B. Mandayam +2
Citizen Broadband Radio Service band (3550 - 3700 GHz) is seen as one of the key frequency bands to enable improvements in performance of wireless broadband and cellular systems. A…