PaperIO: A 3D Interface towards the Internet of Embedded Paper-Craft. - Kening Zhu; Rongbo Zhu; Hideaki Nii; Hooman Samani 001; Borhan (Brian) Jalaeian (IEICE Trans. Inf. Syst., 2014)

Biologically Inspired Artificial Endocrine System for Human Computer Interaction. - Hooman Aghaebrahimi Samani; Elham Saadatian; Brian Jalaeian (HCI (1), 2015)

Harmonizing SIC and MIMO DoF Interference Cancellation for Efficient Network-Wide Resource Allocation. - Brian Jalaeian; Yi Shi 001; Xu Yuan 001; Yiwei Thomas Hou; Wenjing Lou; Scott F. Midkiff (MASS, 2015)

ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT. - Rongbo Zhu; Xue Zhang; Xiaozhu Liu; Wanneng Shu; Tengyue Mao; Brian Jalaian (IEEE Access, 2015)

Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks. - Xue Zhang; Xiaozhu Liu; Hooman Samani 001; Brian Jalaian (Int. J. Distributed Sens. Networks, 2015)

Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks. - Xiaozhu Liu; Rongbo Zhu; Brian Jalaian; Yongli Sun (Mob. Networks Appl., 2015)

An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks. - Borhan (Brian) Jalaeian; Rongbo Zhu; Mehul Motani (Telecommun. Syst., 2015)

Modeling and optimization for programmable unified control plane in heterogeneous wireless networks. - Brian Jalaian; Venkat R. Dasari; Y. Thomas Hou 001 (Sarnoff Symposium, 2016)

An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model. - Borhan (Brian) Jalaeian; Rongbo Zhu; Hooman Samani 001; Mehul Motani (IEEE Syst. J., 2016)

An Online Admission Control Algorithm for Dynamic Traffic in Underlay Coexistence Paradigm. - Xu Yuan 001; Xiaoqi Qin; Feng Tian 007; Brian Jalaian; Yi Shi 001; Y. Thomas Hou 001; Wenjing Lou; Wade Trappe (IEEE Trans. Cogn. Commun. Netw., 2016)

On Programmable Control and Optimization for Multi-Hop Wireless Networks. - Brian Jalaian (2016)

A generalized optimization framework for control plane in tactical wireless networking. - Brian Jalaian; Venkat R. Dasari; Mehul Motani (ICNC, 2017)

A content and context-aware solution for network state exchange in tactical networks. - Roberto Fronteddu; Alessandro Morelli; Enrico Casini; Niranjan Suri; Brian Jalaian; Laurel Sadler (MILCOM, 2017)

Impact of Full Duplex Scheduling on End-to-End Throughput in Multi-Hop Wireless Networks. - Xiaoqi Qin; Huacheng Zeng; Xu Yuan 001; Brian Jalaian; Y. Thomas Hou 001; Wenjing Lou; Scott F. Midkiff (IEEE Trans. Mob. Comput., 2017)

Steganographic Internet of Things: Graph Topology Timing Channels. - Ira S. Moskowitz; Stephen Russell 001; Brian Jalaian (AAAI Workshops, 2018)

On Stream-Centric Learning for Internet of Battlefield Things. - Brian Jalaian; Alec Koppel; Andre V. Harrison; James Michaelis; Stephen Russell 001 (AAAI Spring Symposia, 2018)

Design and Development of Interactive Intelligent Medical Agent. - Shu-Chiao Tsai; Hooman Samani 001; Yu-Wei Kao; Kening Zhu; Brian Jalaian (AIVR, 2018)

Detecting Adversarial Examples Using Data Manifolds. - Susmit Jha; Uyeong Jang; Somesh Jha; Brian Jalaian (MILCOM, 2018)

Investigating LoRa for the Internet of Battlefield Things: A Cyber Perspective. - Torkjel Søndrol; Brian Jalaian; Niranjan Suri (MILCOM, 2018)

Evaluating LoRaWAN-based IoT devices for the tactical military environment. - Brian Jalaian; Timothy Gregory; Niranjan Suri; Stephen Russell 001; Laurel Sadler; Michael Lee (WF-IoT, 2018)

On the integration of SIC and MIMO DoF for interference cancellation in wireless networks. - Borhan (Brian) Jalaeian; Xu Yuan 001; Yi Shi 001; Y. Thomas Hou 001; Wenjing Lou; Scott F. Midkiff; Venkat R. Dasari (Wirel. Networks, 2018)

Intelligent Search, Rescue, and Disaster Recovery via Internet of Things. - Yu-Wei Kao; Hooman Samani 001; Shu-Chiao Tsai; Brian Jalaian; Niranjan Suri; Mike Lee (GIoTS, 2019)

A Real-Time Solution for Underlay Coexistence with Channel Uncertainty. - Shaoran Li; Yan Huang 025; Chengzhang Li; Brian Jalaian; Stephen Russell 001; Y. Thomas Hou 001; Wenjing Lou; Benjamin MacCall (GLOBECOM, 2019)

Kronos: A 5G Scheduler for AoI Minimization Under Dynamic Channel Conditions. - Chengzhang Li; Yan Huang 025; Yongce Chen; Brian Jalaian; Y. Thomas Hou 001; Wenjing Lou (ICDCS, 2019)

To Cancel or Not to Cancel: Exploiting Interference Signal Strength in the Eigenspace for Efficient MIMO DoF Utilization. - Yongce Chen; Shaoran Li; Chengzhang Li; Y. Thomas Hou 001; Brian Jalaian (INFOCOM, 2019)

Optimal Power Control with Channel Uncertainty in Ad Hoc Networks. - Shaoran Li; Y. Thomas Hou 001; Wenjing Lou; Brian Jalaian; Stephen Russell 001; Benjamin MacCall (MILCOM, 2019)

The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability. - Joseph Noor; Ahmed Ali-Eldin; Luis Garcia 001; Chirag Rao; Venkat R. Dasari; Deepak Ganesan; Brian Jalaian; Prashant J. Shenoy; Mani B. Srivastava (MILCOM, 2019)

Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation. - Shaoran Li; Yan Huang 025; Chengzhang Li; Brian Jalaian; Y. Thomas Hou 001; Wenjing Lou (MobiHoc, 2019)

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)

Uncertain Context: Uncertainty Quantification in Machine Learning. - Brian Jalaian; Stephen Russell 001 (AI Mag., 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)

Are Graph Neural Networks Miscalibrated? - Leonardo Teixeira; Brian Jalaian; Bruno Ribeiro 001 (CoRR, 2019)

Reaping the Benefits of Dynamic TDD in Massive MIMO. - Yan Huang 025; Brian Jalaian; Stephen Russell 001; Hooman Samani 001 (IEEE Syst. J., 2019)

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. - Benjamin M. Marlin; Tarek F. Abdelzaher; Gabriela F. Ciocarlie; Adam D. Cobb; Mark Dennison; Brian Jalaian; Lance M. Kaplan; Tiffany Raber; Adrienne Raglin; Piyush K. Sharma; Mani B. Srivastava; Theron Trout; et al. (CogMI, 2020)

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. - Meet P. Vadera; Brian Jalaian; Benjamin M. Marlin (UAI, 2020)

Exploring Performance Trade-offs in Tactical Edge Networks. - Vignesh Sridharan; Mehul Motani; Brian Jalaian; Niranjan Suri (IEEE Commun. Mag., 2020)

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification. - Meet P. Vadera; Satya Narayan Shukla; Brian Jalaian; Benjamin M. Marlin (CoRR, 2020)

URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks. - Meet P. Vadera; Adam D. Cobb; Brian Jalaian; Benjamin M. Marlin (CoRR, 2020)

Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization. - Subhodip Biswas; Adam D. Cobb; Andreea Sistrunk; Naren Ramakrishnan; Brian Jalaian (CoRR, 2020)

Improving Differential Evolution through Bayesian Hyperparameter Optimization. - Subhodip Biswas; Debanjan Saha; Shuvodeep De; Adam D. Cobb; Swagatam Das; Brian Jalaian (CEC, 2021)

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter. - Yushun Dong; Kaize Ding; Brian Jalaian; Shuiwang Ji; Jundong Li (CIKM, 2021)

Fountain Coding for Information Protection in Tactical Networks. - Vignesh Sridharan; Mehul Motani; Brian Jalaian; Niranjan Suri (ICMCIS, 2021)

Task Offloading with Uncertain Processing Cycles. - Shaoran Li; Chengzhang Li; Yan Huang 025; Brian Jalaian; Y. Thomas Hou 001; Wenjing Lou (MobiHoc, 2021)

Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting. - Adam D. Cobb; Brian Jalaian (UAI, 2021)

Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks. - Adam D. Cobb; Brian Jalaian; Nathaniel D. Bastian; Stephen Russell 001 (WSC, 2021)

Graph Neural Networks with Adaptive Frequency Response Filter. - Yushun Dong; Kaize Ding; Brian Jalaian; Shuiwang Ji; Jundong Li (CoRR, 2021)

Minimizing AoI in a 5G-Based IoT Network Under Varying Channel Conditions. - Chengzhang Li; Yan Huang 025; Shaoran Li; Yongce Chen; Brian Jalaeian; Y. Thomas Hou 001; Wenjing Lou; Jeffrey H. Reed; Sastry Kompella (IEEE Internet Things J., 2021)

Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty. - Shaoran Li; Yan Huang 025; Chengzhang Li; Brian Jalaian; Y. Thomas Hou 001; Wenjing Lou; Stephen Russell 001 (IEEE/ACM Trans. Netw., 2021)

The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. - Tianshi Wang; Denizhan Kara; Jinyang Li 004; Shengzhong Liu; Tarek F. Abdelzaher; Brian Jalaian (MILCOM, 2022)

URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. - Meet P. Vadera; Jinyang Li 004; Adam D. Cobb; Brian Jalaian; Tarek F. Abdelzaher; Benjamin M. Marlin (MLSys, 2022)

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. - Yushun Dong; Ninghao Liu; Brian Jalaian; Jundong Li (WWW, 2022)

Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning. - Meet P. Vadera; Adam D. Cobb; Brian Jalaian; Benjamin M. Marlin (CoRR, 2022)

Maximizing Energy Efficiency With Channel Uncertainty Under Mutual Interference. - Shaoran Li; Y. Thomas Hou 001; Wenjing Lou; Brian Jalaian; Stephen Russell 001 (IEEE Trans. Wirel. Commun., 2022)

Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation. - Nilantha Premakumara; Brian Jalaian; Niranjan Suri; Hooman Samani 001 (CVIPPR, 2023)

Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning. - Brian Jalaian; Nathaniel D. Bastian (MILCOM, 2023)

Enhancing object detection robustness: A synthetic and natural perturbation approach. - Nilantha Premakumara; Brian Jalaian; Niranjan Suri; Hooman Samani 001 (CoRR, 2023)

Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. - Vyacheslav Kungurtsev; Adam D. Cobb; Tara Javidi; Brian Jalaian (Mach. Learn., 2023)

Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty. - Shaoran Li; Chengzhang Li; Yan Huang 025; Brian A. Jalaian; Y. Thomas Hou 001; Wenjing Lou (IEEE J. Sel. Areas Commun., 2023)

Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence With Channel Uncertainty. - Shaoran Li; Yan Huang 025; Chengzhang Li; Y. Thomas Hou 001; Wenjing Lou; Brian A. Jalaian; Stephen Russell 001 (IEEE Trans. Mob. Comput., 2023)

On DoF Conservation in MIMO Interference Cancellation Based on Signal Strength in the Eigenspace. - Yongce Chen; Shaoran Li; Chengzhang Li; Huacheng Zeng; Brian Jalaian; Y. Thomas Hou 001; Wenjing Lou (IEEE Trans. Mob. Comput., 2023)

Reducing classifier overconfidence against adversaries through graph algorithms. - Leonardo Teixeira; Brian Jalaian; Bruno Ribeiro 001 (Mach. Learn., 2023)

Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection. - Alice Bizzarri; Chung-En Yu; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (AI*IA, 2024)

A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. - Alice Bizzarri; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (ICCCN, 2024)

Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection. - Jacob Sander; Chung-En Johnny Yu; Brian Jalaian; Nathaniel D. Bastian (MILCOM, 2024)

A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI. - Alice Bizzarri; Chung-En Yu; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (CoRR, 2024)

Neurosymbolic AI for network intrusion detection systems: A survey. - Alice Bizzarri; Chung-En Johnny Yu; Brian Jalaian; Fabrizio Riguzzi; Nathaniel D. Bastian (J. Inf. Secur. Appl., 2025)

On Accelerating Edge AI: Optimizing Resource-Constrained Environments. - Jacob Sander; Achraf Cohen; Venkat R. Dasari; Kristen Brent Venable; Brian Jalaian (CoRR, 2025)

Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models. - Chung-En Yu; Hsuan-Chih Chen; Brian Jalaian; Nathaniel D. Bastian (CoRR, 2025)

Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression. - Jacob Sander; David Moe; Achraf Cohen; Kristen B. Venable; Venkat R. Dasari; Brian Jalaian (CoRR, 2025)

Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning. - Huynh T. T. Tran; Jacob Sander; Achraf Cohen; Brian Jalaian; Nathaniel D. Bastian (CoRR, 2025)

Towards Interpretable Adversarial Examples via Sparse Adversarial Attack. - Fudong Lin; Jiadong Lou; Hao Wang 022; Brian Jalaian; Xu Yuan 001 (CoRR, 2025)