Faculty

Institution

Unit

Venue

Robert Kozma

Emeritus Professor

University of Memphis

Affiliations

College of Arts & Sciences

Mathematical Sciences

Robert Kozma is currently serving as a College Of Arts & Sciences Emeritus Professor at University of Memphis.

Honors

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Experiences

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Education

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Robert Kozma

University of Memphis

Emeritus Professor

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neuroscience cognitive neuroscience computer science computational neuroscience cognitive science machine learning systems engineering systems neuroscience neurodynamics artificial intelligence deep learning electrophysiology brain modeling computational intelligence eeg signal processing cybernetics kiv model chaos theory neural networks pattern recognition scientific computing human-computer interaction brain science neural science intelligent computing machine learning research information technology neuroinformatics chronobiology cognitive electrophysiology optical engineering cognitive modeling time series prediction automatic control neurocomputers cellular neural network spatial cognition fuzzy computing recurrent neural networks human cognition brain function neural populations probabilistic cellular automata kiii model eeg data nonlinear spatio-temporal dynamics cerebral cortex knowledge management soft computing evolutionary computation information fusion fuzzy logic information management network theory random graphs information theory space robotics dynamic logics sensor technology perception-action loop brain imaging meditation anomaly detection large-scale random networks primordial vertebrate forebrain autonomous agents cognitive phase transitions ecog signals decision making cortical rhythms theoretical biology recommender systems bifurcation theory biocybernetics control design heuristic (computer science) dynamic optimization applied mathematics applied mathematical modelling

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives. IEEE Transactions on Neural Networks and Learning Systems (2025)

Phu PhamQuang-Thinh BuiNgoc Thanh NguyenRobert KozmaPhilip S. YuBay Vo

information fusioncomputer scienceneural computationgraph theorygeometric learningknowledge discoverynetwork topologyscientific computingmathematicsneural network (machine learning)graph neural networksmachine learning researchdata sciencegraph analysisnetwork analysisspectral theorymachine learningtopological data analysis

A Systemic and Semiotic Approach to Thoughts and Meaning Creation Manifested in Intentional Actions. (2024)

J. J. Joshua DavisFlorian SchübelerRobert Kozma

social semioticssemanticsintentional actionssymbolic interactioncognitive sciencepsychology

Cinematic Theory of Cognition and Consciousness - Implications for Efficient Human-Computer Interactions. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2024)

Robert KozmaBernard J. BaarsNatalie Geld

neural computationcinematic theorycognitive interactioncognitive modelinghuman cognitioncyberneticscognitive neuroscienceneuroscienceartificial consciousnessefficient human-computer interactionshuman-computer interactioncognitive sciencepsychologycognition

Information-Theoretical Analysis of the Cycle of Creation of Knowledge and Meaning in Brains Under Multiple Cognitive Modalities. Sensors (2024)

Joshua J. J. DavisFlorian SchübelerRobert Kozma

knowledge creationcognitive neuroscienceneurosciencecognitive scienceinformation-theoretical analysis

Large-Scale Synchronization Transients Serving as Neural Substrates of Consciousness. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Robert Kozma

neural computationbrain mechanismssystems neuroscienceneural substrateslarge-scale synchronization transientscognitive neuroscienceneuroscienceneural network (machine learning)neurodynamicscognitive sciencecomputational neurosciencebrain circuitry

Model-Based Systems Engineering Requires Metamodel Renovation: Requirements for Metamodel Renovation. IEEE Systems Man and Cybernetics Magazine (2024)

Haibin ZhuSam KwongImre RudasEdward TunstelRobert KozmaPeng Shi

systems engineeringcyberneticssystems modelingmodel-based system engineeringmetamodel renovation

Movie-Making of Spatiotemporal Dynamics in Complex Systems. Encyclopedia of Computer Graphics and Games (2024)

Jeffery Jonathan Joshua DavisRobert Kozma

systems biologycinemafilmspatiotemporal dynamics

Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via Hrv and Eeg. Encyclopedia of Computer Graphics and Games (2024)

Jeffery Jonathan Joshua DavisRobert KozmaFlorian Schübeler

stress reductionpsychophysiological measurementsphysiologyelectrophysiologybiofeedback systemsmeditative states

Advances in AI, Neural Networks, and Brain Computing: An Introduction. Elsevier eBooks (2023)

Francesco Carlo MorabitoRobert KozmaCesare AlippiYoonsuck Choe

artificial intelligencecomputer sciencebrain computingneural networks

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted From Eeg Data. Sensors (2023)

Joshua J. J. DavisRobert KozmaFlorian Schübeler

shannon entropycognitive electrophysiologyelectrophysiologycognitive neurosciencemindfulnessneurosciencebrain statesmeditationeeg signal processingeeg dataneuroimagingindependent component analysis

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Robert Kozma

Emeritus Professor

University of Memphis

Affiliations

College of Arts & Sciences

Mathematical Sciences

Robert Kozma is currently serving as a College Of Arts & Sciences Emeritus Professor at University of Memphis.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Robert Kozma

University of Memphis

Emeritus Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives. IEEE Transactions on Neural Networks and Learning Systems (2025)

Phu PhamQuang-Thinh BuiNgoc Thanh NguyenRobert KozmaPhilip S. YuBay Vo

A Systemic and Semiotic Approach to Thoughts and Meaning Creation Manifested in Intentional Actions. (2024)

J. J. Joshua DavisFlorian SchübelerRobert Kozma

social semioticssemanticsintentional actionssymbolic interactioncognitive sciencepsychology

Cinematic Theory of Cognition and Consciousness - Implications for Efficient Human-Computer Interactions. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2024)

Robert KozmaBernard J. BaarsNatalie Geld

Information-Theoretical Analysis of the Cycle of Creation of Knowledge and Meaning in Brains Under Multiple Cognitive Modalities. Sensors (2024)

Joshua J. J. DavisFlorian SchübelerRobert Kozma

knowledge creationcognitive neuroscienceneurosciencecognitive scienceinformation-theoretical analysis

Large-Scale Synchronization Transients Serving as Neural Substrates of Consciousness. 2022 International Joint Conference on Neural Networks (IJCNN) (2024)

Robert Kozma

Model-Based Systems Engineering Requires Metamodel Renovation: Requirements for Metamodel Renovation. IEEE Systems Man and Cybernetics Magazine (2024)

Haibin ZhuSam KwongImre RudasEdward TunstelRobert KozmaPeng Shi

systems engineeringcyberneticssystems modelingmodel-based system engineeringmetamodel renovation

Movie-Making of Spatiotemporal Dynamics in Complex Systems. Encyclopedia of Computer Graphics and Games (2024)

Jeffery Jonathan Joshua DavisRobert Kozma

systems biologycinemafilmspatiotemporal dynamics

Stress Reduction, Relaxation, and Meditative States Using Psychophysiological Measurements Based on Biofeedback Systems via Hrv and Eeg. Encyclopedia of Computer Graphics and Games (2024)

Jeffery Jonathan Joshua DavisRobert KozmaFlorian Schübeler

stress reductionpsychophysiological measurementsphysiologyelectrophysiologybiofeedback systemsmeditative states

Advances in AI, Neural Networks, and Brain Computing: An Introduction. Elsevier eBooks (2023)

Francesco Carlo MorabitoRobert KozmaCesare AlippiYoonsuck Choe

artificial intelligencecomputer sciencebrain computingneural networks

Analysis of Meditation vs. Sensory Engaged Brain States Using Shannon Entropy and Pearson’s First Skewness Coefficient Extracted From Eeg Data. Sensors (2023)

Joshua J. J. DavisRobert KozmaFlorian Schübeler

shannon entropycognitive electrophysiologyelectrophysiologycognitive neurosciencemindfulnessneurosciencebrain statesmeditationeeg signal processingeeg dataneuroimagingindependent component analysis

1
2
3
4
5
27
10 / page

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University of Maryland, College Park

multidisciplinary ai

artificial intelligence

Risto Miikkulainen

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neural networks

evolutionary computation

Christian Lebiere

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psychology

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biomedical imaging

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