Faculty

Institution

Unit

Venue

Brian Jalaian

Associate Professor

University of West Florida

Affiliations

Intelligent Systems & Robotics

Department Of Eng And Computer Tech

Department Of Intelligent Systems And Robotics

Department Of Systems Science

Hal Marcus College of Science and Engineering

Department of Computer Science

Department of Mechanical Engineering

Division of Academic Affairs

Hal Marcus College of Science and Engineering

Institute for Analytics and Industry Advancement

University of West Florida

Brian Jalaian is currently serving as an Intelligent Systems & Robotics Associate Professor at University of West Florida.

Honors

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Experiences

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Education

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Brian Jalaian

University of West Florida

Associate Professor

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computer science systems engineering computational intelligence machine learning data science communications systems wireless communications wireless networks machine learning research telecommunication networks neural network (machine learning) deep learning networked system design internet of things intelligent computing intelligent systems bayesian analysis adversarial machine learning network analysis soft computing communication engineering electrical engineering bayesian inference intrusion detection systems iot communication mimo system computational optimization control optimization spectrum management mobile computing cognitive radio interference cancellation anomaly detection approximate reasoning information technology graph neural networks 5g system iot system machine learning models cognitive radio resource management threat detection channel uncertainty mathematical optimization markov chain monte carlo graph processing bayesian network uncertain data uncertainty modeling model optimization knowledge discovery evolutionary computation network management deep neural networks underlay coexistence battlefield things network optimization differential evolution hyperparameter estimation industrial iot energy-efficient networking graph convolutional network graph filters adversarial examples massive mimo algorithmic bias algorithmic fairness stochastic optimization graph signal processing bias metrics attributed network bayesian hyperparameter optimization cognitive radio networks tactical military environment multi-hop wireless networks end-to-end throughput dynamic channel conditions network science ai safety artificial intelligence uncertainty quantification

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Model Refinement: Muon-Optimized Distillation and Quantization for Llm Deployment. (2026)

numerical simulationsenergy researchprocess analysismodeling and simulationengineering sciencecomputational engineeringprocess intensificationengineering optimizationenergy transformationindustrial engineeringenvironmental engineeringchemical engineeringprocess integrationprocess controldesign optimizationengineeringprocess optimizationwater process engineeringclean technologymultiphase flowspetroleum engineeringprocess design

Advancing Model Refinement: Muon-Optimized Distillation and Quantization for Llm Deployment. arXiv (Cornell University) (2026)

industrial engineeringcomputational engineeringenvironmental engineeringengineeringprocess intensificationprocess integrationmodeling and simulationmodel refinement

SCOOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems. arXiv (Cornell University) (2026)

language modelssemantic evaluationnatural language processinginformation fusionvisual groundingdata scienceuncertainty quantificationlanguagevision language modelvisual question answeringvisual reasoningsemantics

Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute. (2025)

roboticscomputer visionapplied mathematicsvisual reasoningcomputer scienceautomationintelligent robotrobot learningrobotics perceptionautonomous agent systemscomputational intelligenceautonomous robotsmachine visionmachine intelligenceintelligent robotic systemsintelligent systemssystems engineeringvision roboticsartificial intelligenceautomated reasoningmultiagent systemsnormative multi-agent system

Constrained Edge AI Deployment: Fine-Tuning vs Distillation for Llm Compression. (2025)

deep learningneural architecture searchmultidisciplinary optimizationhigh performance computer architectureneural network (machine learning)computer sciencecomputational engineeringembedded machine learningedge computingcomputer engineeringfield programmable gate arraycomputational optimizationmodel compressioncomputational intelligenceedge intelligencedesign optimizationneural computationsystems engineeringartificial intelligenceglobal optimizationadvanced computingmemetic computing

Constrained Edge AI Deployment: Fine-Tuning vs. Distillation for Llm Compression. (2025)

model compressiondeep learningcomputer sciencecomputational intelligenceedge ai deploymentedge computingcomputer engineeringedge intelligenceartificial intelligencecomputational optimizationneural network (machine learning)

HYDRA: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models. (2025)

deep learningmachine learningcomputer visionvision language modelvisual reasoningnatural language generationcomputer sciencelanguagerobot learningcomputational intelligencelanguage modelsmultimodal llmmachine intelligencemachine visiongenerative aiimage representationlinguisticsvisual perceptionadversarial machine learningmultimedia modelingartificial intelligenceautomated reasoning

Neurosymbolic AI for Network Intrusion Detection Systems: A Survey. Journal of Information Security and Applications (2025)

computer scienceintelligent systemscomputational intelligenceneurosymbolic aiintelligent computingsoft computingintrusion detection systemsmachine intelligencebotnet detectionanomaly detectioncybernetics

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection. (2025)

computer sciencecomputational intelligenceintelligent computingtransfer learningneuroscienceintrusion detection systemsneural network (machine learning)

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection. (2025)

computer sciencecomputational intelligenceneuroscienceintrusion detection systemsneural computationmachine intelligencebio-inspired computationneural network (machine learning)neurocomputers

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Brian Jalaian

Associate Professor

University of West Florida

Affiliations

Intelligent Systems & Robotics

Department Of Eng And Computer Tech

Department Of Intelligent Systems And Robotics

Department Of Systems Science

Hal Marcus College of Science and Engineering

Department of Computer Science

Department of Mechanical Engineering

Division of Academic Affairs

Hal Marcus College of Science and Engineering

Institute for Analytics and Industry Advancement

University of West Florida

Brian Jalaian is currently serving as an Intelligent Systems & Robotics Associate Professor at University of West Florida.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Brian Jalaian

University of West Florida

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Model Refinement: Muon-Optimized Distillation and Quantization for Llm Deployment. (2026)

Advancing Model Refinement: Muon-Optimized Distillation and Quantization for Llm Deployment. arXiv (Cornell University) (2026)

industrial engineeringcomputational engineeringenvironmental engineeringengineeringprocess intensificationprocess integrationmodeling and simulationmodel refinement

SCOOP: Semantic Consistent Opinion Pooling for Uncertainty Quantification in Multiple Vision-Language Model Systems. arXiv (Cornell University) (2026)

Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute. (2025)

Constrained Edge AI Deployment: Fine-Tuning vs Distillation for Llm Compression. (2025)

Constrained Edge AI Deployment: Fine-Tuning vs. Distillation for Llm Compression. (2025)

HYDRA: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models. (2025)

Neurosymbolic AI for Network Intrusion Detection Systems: A Survey. Journal of Information Security and Applications (2025)

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection. (2025)

computer sciencecomputational intelligenceintelligent computingtransfer learningneuroscienceintrusion detection systemsneural network (machine learning)

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection. (2025)

computer sciencecomputational intelligenceneuroscienceintrusion detection systemsneural computationmachine intelligencebio-inspired computationneural network (machine learning)neurocomputers

1
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3
4
5
18
10 / page