Kaushik Chowdhury
Professor
Directs the GENESYS Lab, applying deep learning to wireless spectrum sensing, RF fingerprinting and network security.
Kaushik Chowdhury's lab at UT Austin works on trustworthy & safe ML and signal processing & information theory. 73 papers since 2023, 7 at top venues, mostly ICC and INFOCOM. 12 PhD students. 38 alumni, most often to Qualcomm and Meta. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 10%
- PhD students
- 12
- MS students
- 0
- alumni listed
- 38
Papers by yearfrom the lab homepage, 2023–2026
- 15 papers2026 · T1 1 · collecting
- 20 papers2025 · T1 0
- 16 papers2024 · T1 2
- 22 papers2023 · T1 4
T1 venuesOtherVenues: ICC, INFOCOM, GLOBECOM, ICASSP, SIGCOMM
Research focuspaper titles that use each topic's words
- wireless10 papers
- Trustworthy & safe ML2 papers
- Signal processing & information theory1 paper
- network security0 papers
- applying0 papers
Paper list
From the lab homepage.
202615 papers
- IEEE Communications Standards MagazineAI and Dependency Graph–Based Digital Twins for Context-Aware 6G Robotic Networks
- IEEE Conference on Computer Communications (INFOCOM), acceptedDeploying Over-the-air Federated Learning in Real-world Multi-antenna Systems’
- Computer CommunicationsFrom Classification to Optimization: Slicing and Resource Management with TRACTOR
- IEEE Communications Surveys & TutorialsHybrid GNN-Centric Architectures for AI-Native 6G Wireless Networks: A Comprehensive Survey
- Proc. IEEE/IFIP International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Columbus, OH, USA, . GitHubMeasure Once, Train Often: Scaling Waveform Classifiers with Channel-Augmented Data
- IEEE Conference on Computer Communications (INFOCOM), acceptedO-DSS: An Open Dynamic Spectrum Sharing Framework for Cellular-Radar Coexistence in Mid-band Frequencies
- IEEE Transactions on NetworkingOver-the-Air Federated Learning for Urban Cellular Networks: Demonstrations and Scalability
- IEEE Transactions on Vehicular TechnologyPRISM: Policy-Reinforced Lightweight Split-Federated Learning for Multi-Modal Beamforming in IoV
- IEEE International Conference on Communication (ICC), acceptedSENTRY: Saving Energy through Neural Network-based Receiver Systems
- MobiHocSharing of Irreversible Latent Features in lieu of RF IQ Data for Multiple Downstream Learning Tasks
- Proc. IEEE Military Communications Conference (MILCOM), National Capital Region, USASTEALTH: Site-Specific Digital Twin-Enabled Safe Learning for Covert Modality Selection with Hardware-in-the-Loop
- IEEE Transactions on NetworkingT-PRIME: Real-Time Deployment of a Transformer-Based Protocol Identification for Machine-Learning at the Edge
202520 papers
- PIMRCATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search
- IEEE Transactions on Wireless CommunicationsAutomatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning
- IEEE Transactions on Mobile ComputingBetter Together: Leveraging Multiple Digital Twins for Deployment Optimization of Airborne Base Stations
- IEEE Transactions on Cognitive Communications and NetworkingBlind Beamforming via Deep Learning-Based Signal Classification and Transfer Learning
- ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile ComputingBuilding Trust in Deep Learning Models for Wireless Applications
- IEEE Transactions on Mobile ComputingDARWIN: Digital Twin Assisted Robot Navigation and WIreless Network Management
- PIMRCData Augmentation for RF Machine Learning: Isolating Frequency Offset and SNR Impairments to Bridge the Simulation-to-Real Gap
- MobiHocDemo: Smartphone Camera-aided RIS Beam Selection
- VTC-SpringDRFSL: Deep Reinforced Federated Split Learning for Multi-Modal Beamforming in IoV
- VTC2025-SpringDynamic Adaptive Federated Learning for mmWave Sector Selection
- IEEE ICMLCNExperimental Demonstration of Over the Air Federated Learning for Cellular Networks
- ICCFedAttention: Federated Attention-Based Fusion Learning for Multi-Modal Beamforming in IoV
202416 papers
- CCNCClassification- Based Transfer Learning for Blind Adaptive Receiver Beamforming
- INFOCOM (T1)COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units
- IEEE International Conference on Metaverse Computing, Networking, and Applications (MetaCom), Hong Kong, ChinaDITTO: DIgital Twins for Testing and Optimizing Wireless Decisions
- EuCNC & 6G Summit - NETFederated Learning for Anomaly Detection in Open RAN: Security Architecture Within a Digital Twin
- IEEE Transactions on Mobile ComputingFLASH-and-Prune:Federated Learning for Automated Selection of High-band mmWave Sectors using Model Pruning
- IEEE Transactions on Vehicular TechnologyIntra-Network Synchronization and Retrodirective Distributed Transmit Beamforming with UAVs
- MILCOM - IEEE Military Communications Conference (MILCOM), Washington, DC, USAJARVIS: Disjoint Large Language Models on Radio VLANs for Intelligent Services
- IEEE Wireless Communications MagazineLearning from the Best: Active Learning for Wireless Communications
- ICCLeveraging Explainable AI for Reducing Queries of Performance Indicators in Open RAN
- ICNCMEGATRON: Machine Learning in 5G with Analysis of Traffic in Open Radio Access Networks
- IEEE Transactions on NetworkingMultiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming
- IEEE Transactions on Vehicular TechnologyOmni-CNN: A Modality-agnostic Neural Network for mmWave Beam Selection
202322 papers
- ACM Intl. Sympo- sium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile ComputingAirFC: Designing Fully Connected Layers for Neural Networks with Wireless Signals
- IEEE/ACM Transactions on NetworkingAirNN: Over-the-Air Computation for Neural Networks via Reconfigurable Intelligent Surfaces
- ICCBiP: Bit-Phase-Flip Error Mitigation in Quantum Communications
- INFOCOM (T1)Communication-Aware DNN Pruning
- IEEE Communications MagazineDetection of Co-existing RF Signals in CBRS using ML: Dataset and API-based Collection Testbed
- IEEE Network MagazineDigital Twins for Maintaining QoS in Programmable Vehicular Networks
- GLOBECOMExperimental Study of Adversarial Attacks on ML-based xApps in O-RAN
- IEEE Transactions on Mobile ComputingFlying Among Stars: Jamming-resilient Channel Selection for UAVs through Aerial Constellations
- Elsevier Computer NetworksGoing Beyond RF: A Survey on how AI-enabled Multimodal Beamforming will Shape the NextG Standard
- INFOCOM (T1)ICARUS: Learning on IQ and Cycle Frequencies for Detecting Anomalous RF Underlay Signals
- ICCImprove your aim: a Deep Reinforcement Learning approach for 5G NR mmWave beam refinement
- IEEE Transactions on Mobile ComputingL-NORM: Learning and Network Orchestration at the Edge for Robot Connectivity and Mobility in Factory Floor Environments
Where alumni went38 listed, 62% to industry
Industry 13Academia 8
Most often to
- Qualcomm
- Meta
- Apple
Also to
- Computer Engineering Department Rajamangala University of Technology Thanyaburi
- Louisiana Tech University
- Northeastern University
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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