A dynamic infrastructure for interconnecting disparate ISR/ISTAR assets (the ITA sensor fabric). - Joel J. Wright; Christopher Gibson; Flávio Bergamaschi; Kelvin Marcus; Ryan Pressley; Gunjan Verma; Gene T. Whipps (FUSION, 2009)

The effect of zealotry in the naming game model of opinion dynamics. - Gunjan Verma; Ananthram Swami; Kevin S. Chan (MILCOM, 2012)

Measurement and characterization of the short-range low-VHF channel. - Fikadu T. Dagefu; Gunjan Verma; Chirag Rao; Paul L. Yu; Brian M. Sadler; Kamal Sarabandi (WCNC, 2015)

Physical Layer Authentication via Fingerprint Embedding Using Software-Defined Radios. - Gunjan Verma; Paul L. Yu; Brian M. Sadler (IEEE Access, 2015)

Wireless physical layer authentication via fingerprint embedding. - Paul L. Yu; Gunjan Verma; Brian M. Sadler (IEEE Commun. Mag., 2015)

Fingerprinting by Design: Embedding and Authentication. - Paul L. Yu; Brian M. Sadler; Gunjan Verma; John S. Baras (Digital Fingerprinting, 2016)

Implications of time/frequency synchronization tradeoff of quasi-synchronous multi-carrier DS-CDMA for robust communications at lower VHF. - Gunjan Verma; Fikadu T. Dagefu; Brian M. Sadler; Predrag Spasojevic (MILCOM, 2016)

The effect of inter-user delay and channel phase response on MC-CDMA using WBE codes with application to lower VHF. - Fikadu T. Dagefu; Predrag Spasojevic; Gunjan Verma; Brian M. Sadler (ACSSC, 2017)

An experimental study of quasi-synchronous multiuser communications in cluttered scenarios at low VHF. - Fikadu T. Dagefu; Gunjan Verma; Predrag Spasojevic; Brian M. Sadler (ICMCIS, 2017)

Chaff Allocation and Performance for Network Traffic Obfuscation. - Ertugrul N. Ciftcioglu; Rommie L. Hardy; Kevin S. Chan; Lisa Scott; Diego F. M. Oliveira; Gunjan Verma (ICDCS, 2018)

Network Traffic Obfuscation: An Adversarial Machine Learning Approach. - Gunjan Verma; Ertugrul N. Ciftcioglu; Ryan Sheatsley; Kevin S. Chan; Lisa Scott (MILCOM, 2018)

Scalable Sporadic Medium Access for Complex Propagation Environments. - Chirag Rao; Fikadu T. Dagefu; Gunjan Verma; Predrag Spasojevic; Brian M. Sadler (PIMRC, 2018)

DOA Estimation for Autonomous Systems in Complex Propagation Environments. - Gunjan Verma; Fikadu T. Dagefu; Brian M. Sadler; Jeffrey N. Twigg; Jonathan Fink (SPAWC, 2018)

Direction of Arrival Estimation With the Received Signal Strength Gradient. - Gunjan Verma; Fikadu T. Dagefu; Brian M. Sadler; Jeffrey N. Twigg (IEEE Trans. Veh. Technol., 2018)

Attribution-Based Confidence Metric For Deep Neural Networks. - Susmit Jha; Sunny Raj; Steven Lawrence Fernandes; Sumit Kumar Jha 001; Somesh Jha; Brian Jalaian; Gunjan Verma; Ananthram Swami (NeurIPS, 2019)

Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks. - Gunjan Verma; Ananthram Swami (NeurIPS, 2019)

Attribution-driven Causal Analysis for Detection of Adversarial Examples. - Susmit Jha; Sunny Raj; Steven Lawrence Fernandes; Sumit Kumar Jha 001; Somesh Jha; Gunjan Verma; Brian Jalaian; Ananthram Swami (CoRR, 2019)

Information Flow Optimization in Inference Networks. - Aditya Deshmukh; Jing Liu; Venugopal V. Veeravalli; Gunjan Verma (ICASSP, 2020)

Rapid Top-Down Synthesis of Large-Scale IoT Networks. - Pradipta Ghosh; Jonathan Bunton; Dimitrios Pylorof; Marcos Augusto M. Vieira; Kevin Chan 001; Ramesh Govindan; Gaurav S. Sukhatme; Paulo Tabuada; Gunjan Verma (ICCCN, 2020)

Adversarial Examples in Constrained Domains. - Ryan Sheatsley; Nicolas Papernot; Michael J. Weisman; Gunjan Verma; Patrick D. McDaniel (CoRR, 2020)

Energy-Efficient Power Allocation in Wireless Networks using Graph Neural Networks. - Boning Li; Gunjan Verma; Chirag Rao; Santiago Segarra (ACSCC, 2021)

Efficient Power Allocation Using Graph Neural Networks and Deep Algorithm Unfolding. - Arindam Chowdhury; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (ICASSP, 2021)

Adaptive Contention Window Design Using Deep Q-Learning. - Abhishek Kumar; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (ICASSP, 2021)

Distributed Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (ICASSP, 2021)

Split to win: near-optimal sensor network synthesis via path-greedy subproblems. - Jonathan Bunton; Tzanis Anevlavis; Gunjan Verma; Christina Fragouli; Paulo Tabuada (MILCOM, 2021)

ML-aided power allocation for Tactical MIMO. - Arindam Chowdhury; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (MILCOM, 2021)

Unfolding WMMSE Using Graph Neural Networks for Efficient Power Allocation. - Arindam Chowdhury; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (IEEE Trans. Wirel. Commun., 2021)

Delay-Oriented Distributed Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Gunjan Verma; Ananthram Swami; Santiago Segarra (ICASSP, 2022)

Adversarial examples for network intrusion detection systems. - Ryan Sheatsley; Nicolas Papernot; Michael J. Weisman; Gunjan Verma; Patrick D. McDaniel (J. Comput. Secur., 2022)

Systematic review and analysis on underwater image enhancement methods, datasets, and evaluation metrics. - Gunjan Verma; Manoj Kumar (J. Electronic Imaging, 2022)

FCNN: fusion-based underwater image enhancement using multilayer convolution neural network. - Gunjan Verma; Manoj Kumar; Suresh Raikwar (J. Electronic Imaging, 2022)

Optimizing the quality of information of networked machine learning agents. - Gunjan Verma; Kelvin Marcus; Kevin S. Chan (J. Netw. Comput. Appl., 2022)

Learning Non-myopic Power Allocation in Constrained Scenarios. - Arindam Chowdhury; Santiago Paternain; Gunjan Verma; Ananthram Swami; Santiago Segarra (ACSSC, 2023)

Enhanced Backpressure Routing Using Wireless Link Features. - Zhongyuan Zhao 002; Gunjan Verma; Ananthram Swami; Santiago Segarra (CAMSAP, 2023)

Online Allocation of Sensing and Computation in Large Graphs. - Xinlin Li; Merve Karakas; Osama A. Hanna; Mehrdad Kiamari; Jared Ray Coleman; Christina Fragouli; Bhaskar Krishnamachari; Gunjan Verma (CIC, 2023)

Delay-Aware Backpressure Routing Using Graph Neural Networks. - Zhongyuan Zhao 002; Bojan Radojicic; Gunjan Verma; Ananthram Swami; Santiago Segarra (ICASSP, 2023)

Learnable Digital Twin for Efficient Wireless Network Evaluation. - Boning Li; Timofey Efimov; Abhishek Kumar; Jose Cortes; Gunjan Verma; Ananthram Swami; Santiago Segarra (MILCOM, 2023)

Feature Compression for Multimodal Multi-Object Tracking. - Xinlin Li; Osama A. Hanna; Christina Fragouli; Suhas N. Diggavi; Gunjan Verma; Joydeep Bhattacharyya (MILCOM, 2023)

Comprehensive review and analysis on facial emotion recognition methods. - Rishabh Vats; Manoj Kumar; Ritu Rai; Gunjan Verma (J. Electronic Imaging, 2023)

Information Flow Optimization for Estimation in Linear Models Using a Sensor Network. - Aditya Deshmukh; Jing Liu; Venugopal V. Veeravalli; Gunjan Verma (IEEE Signal Process. Lett., 2023)

Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks. - Boning Li; Gunjan Verma; Santiago Segarra (IEEE Trans. Wirel. Commun., 2023)

Synthesis of Large-Scale Instant IoT Networks. - Pradipta Ghosh; Jonathan Bunton; Dimitrios Pylorof; Marcos A. M. Vieira; Kevin Chan 001; Ramesh Govindan; Gaurav S. Sukhatme; Paulo Tabuada; Gunjan Verma (IEEE Trans. Mob. Comput., 2023)

Link Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (IEEE Trans. Wirel. Commun., 2023)

Distributed and Rate-Adaptive Feature Compression. - Aditya Deshmukh; Venugopal V. Veeravalli; Gunjan Verma (IEEECONF, 2024)

Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks. - Zhongyuan Zhao 002; Jake B. Perazzone; Gunjan Verma; Santiago Segarra (ICASSP, 2024)

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. - Negar Erfaniantaghvayi; Zhongyuan Zhao 002; Kevin S. Chan; Gunjan Verma; Ananthram Swami; Santiago Segarra (MILCOM, 2024)

Enhancing Resilience in Distributed ML Inference Pipelines for Edge Computing. - Li Wu; Walid A. Hanafy; Abel Souza; Tarek F. Abdelzaher; Gunjan Verma; Prashant J. Shenoy (MILCOM, 2024)

Low Frequency Multi-Robot Networking. - Brian M. Sadler; Fikadu T. Dagefu; Jeffrey N. Twigg; Gunjan Verma; Predrag Spasojevic; Richard J. Kozick; Justin Kong 001 (IEEE Access, 2024)

Biased Backpressure Routing Using Link Features and Graph Neural Networks. - Zhongyuan Zhao 002; Bojan Radojicic; Gunjan Verma; Ananthram Swami; Santiago Segarra (CoRR, 2024)

GLANCE: Graph-based Learnable Digital Twin for Communication Networks. - Boning Li; Gunjan Verma; Timofey Efimov; Abhishek Kumar; Santiago Segarra (CoRR, 2024)

Fully Distributed Online Training of Graph Neural Networks in Networked Systems. - Rostyslav Olshevskyi; Zhongyuan Zhao 002; Kevin S. Chan; Gunjan Verma; Ananthram Swami; Santiago Segarra (CoRR, 2024)

F2UIE: feature transfer-based underwater image enhancement using multi-stackcnn. - Gunjan Verma; Manoj Kumar; Suresh Raikwar (Multim. Tools Appl., 2024)

Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks. - Arindam Chowdhury; Gunjan Verma; Ananthram Swami; Santiago Segarra (IEEE Trans. Wirel. Commun., 2024)

Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm. - Zhongyuan Zhao 002; Jake B. Perazzone; Gunjan Verma; Kevin S. Chan; Ananthram Swami; Santiago Segarra (ICASSP, 2025)

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT. - Xiaomin Ouyang; Jason Wu; Tomoyoshi Kimura; Yihan Lin; Gunjan Verma; Tarek F. Abdelzaher; Mani Srivastava 001 (SenSys, 2025)