Brian Jalaian

Orcid: 0000-0003-3029-601X

Affiliations:
  • Virginia Tech University, Blacksburg, USA


According to our database1, Brian Jalaian authored at least 63 papers between 2014 and 2024.

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Bibliography

2024
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI.
CoRR, 2024

A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
Reducing classifier overconfidence against adversaries through graph algorithms.
Mach. Learn., July, 2023

On DoF Conservation in MIMO Interference Cancellation Based on Signal Strength in the Eigenspace.
IEEE Trans. Mob. Comput., May, 2023

Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence With Channel Uncertainty.
IEEE Trans. Mob. Comput., April, 2023

Enhancing Resilience in Mobile Edge Computing Under Processing Uncertainty.
IEEE J. Sel. Areas Commun., March, 2023

Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo.
Mach. Learn., 2023

Enhancing object detection robustness: A synthetic and natural perturbation approach.
CoRR, 2023

Neurosymbolic AI in Cybersecurity: Bridging Pattern Recognition and Symbolic Reasoning.
Proceedings of the IEEE Military Communications Conference, 2023

Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation.
Proceedings of the 2023 Asia Conference on Computer Vision, 2023

2022
Maximizing Energy Efficiency With Channel Uncertainty Under Mutual Interference.
IEEE Trans. Wirel. Commun., 2022

Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning.
CoRR, 2022

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.
Proceedings of the IEEE Military Communications Conference, 2022

2021
Maximize Spectrum Efficiency in Underlay Coexistence With Channel Uncertainty.
IEEE/ACM Trans. Netw., 2021

Minimizing AoI in a 5G-Based IoT Network Under Varying Channel Conditions.
IEEE Internet Things J., 2021

Graph Neural Networks with Adaptive Frequency Response Filter.
CoRR, 2021

Robust Decision-Making in the Internet of Battlefield Things Using Bayesian Neural Networks.
Proceedings of the Winter Simulation Conference, 2021

Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Task Offloading with Uncertain Processing Cycles.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Fountain Coding for Information Protection in Tactical Networks.
Proceedings of the International Conference on Military Communication and Information Systems, 2021

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Improving Differential Evolution through Bayesian Hyperparameter Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization.
CoRR, 2020

URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.
CoRR, 2020

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification.
CoRR, 2020

Exploring Performance Trade-offs in Tactical Edge Networks.
IEEE Commun. Mag., 2020

Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Reaping the Benefits of Dynamic TDD in Massive MIMO.
IEEE Syst. J., 2019

Are Graph Neural Networks Miscalibrated?
CoRR, 2019

Attribution-driven Causal Analysis for Detection of Adversarial Examples.
CoRR, 2019

Uncertain Context: Uncertainty Quantification in Machine Learning.
AI Mag., 2019

Attribution-Based Confidence Metric For Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

Optimal Power Control with Channel Uncertainty in Ad Hoc Networks.
Proceedings of the 2019 IEEE Military Communications Conference, 2019

To Cancel or Not to Cancel: Exploiting Interference Signal Strength in the Eigenspace for Efficient MIMO DoF Utilization.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Kronos: A 5G Scheduler for AoI Minimization Under Dynamic Channel Conditions.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

A Real-Time Solution for Underlay Coexistence with Channel Uncertainty.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Intelligent Search, Rescue, and Disaster Recovery via Internet of Things.
Proceedings of the 2019 Global IoT Summit, 2019

2018
On the integration of SIC and MIMO DoF for interference cancellation in wireless networks.
Wirel. Networks, 2018

Evaluating LoRaWAN-based IoT devices for the tactical military environment.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

Investigating LoRa for the Internet of Battlefield Things: A Cyber Perspective.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

Detecting Adversarial Examples Using Data Manifolds.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

Design and Development of Interactive Intelligent Medical Agent.
Proceedings of the 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2018

On Stream-Centric Learning for Internet of Battlefield Things.
Proceedings of the 2018 AAAI Spring Symposia, 2018

Steganographic Internet of Things: Graph Topology Timing Channels.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Impact of Full Duplex Scheduling on End-to-End Throughput in Multi-Hop Wireless Networks.
IEEE Trans. Mob. Comput., 2017

A content and context-aware solution for network state exchange in tactical networks.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

A generalized optimization framework for control plane in tactical wireless networking.
Proceedings of the 2017 International Conference on Computing, 2017

2016
On Programmable Control and Optimization for Multi-Hop Wireless Networks.
PhD thesis, 2016

An Online Admission Control Algorithm for Dynamic Traffic in Underlay Coexistence Paradigm.
IEEE Trans. Cogn. Commun. Netw., 2016

An Optimal Cross-Layer Framework for Cognitive Radio Network Under Interference Temperature Model.
IEEE Syst. J., 2016

Modeling and optimization for programmable unified control plane in heterogeneous wireless networks.
Proceedings of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, USA, 2016

2015
An optimal scheduling framework for concurrent transmissions in wireless cognitive radio networks.
Telecommun. Syst., 2015

Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks.
Mob. Networks Appl., 2015

Cooperative Spectrum Sensing in Cognitive Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2015

ERDT: Energy-Efficient Reliable Decision Transmission for Intelligent Cooperative Spectrum Sensing in Industrial IoT.
IEEE Access, 2015

Harmonizing SIC and MIMO DoF Interference Cancellation for Efficient Network-Wide Resource Allocation.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

Biologically Inspired Artificial Endocrine System for Human Computer Interaction.
Proceedings of the Human-Computer Interaction: Design and Evaluation, 2015

2014
PaperIO: A 3D Interface towards the Internet of Embedded Paper-Craft.
IEICE Trans. Inf. Syst., 2014


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