Robert Kozma is affiliated with the University of Memphis in the United States. Their research spans an interdisciplinary range of fields, focusing primarily on cognitive neuroscience, artificial intelligence, and engineering applications related to brain function.
The scientist's recent publications demonstrate involvement in a diverse array of topics and venues. Notable papers include "DeSci Based on Web3 and DAO: A Comprehensive Overview and Reference Model" published in 2022 in the IEEE Transactions on Computational Social Systems, "Global Workspace Theory (GWT) and Prefrontal Cortex: Recent Developments" from 2021 in Frontiers in Psychology, and "A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation" also published in 2022 in Information Sciences. Additional works include "Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks" (2021) in the Proceedings of the AAAI Conference on Artificial Intelligence and "Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions" (2020) in IEEE Transactions on Systems Man and Cybernetics Systems.
Research collaboration forms a significant part of Kozma's academic activity. Frequent coauthors include Enrique Herrera-Viedma, Karen Panetta, Giancarlo Fortino, Mariagrazia Dotoli, and Sam Kwong. These collaborations indicate a broad network spanning various domains within engineering and computer science.
The scientist's publication venues often focus on systems science and engineering, with the primary outlets being:
Kozma's work is concentrated in subfields such as cognitive neuroscience, artificial intelligence, electrical and electronic engineering, and computer vision and pattern recognition. These areas reflect the interdisciplinary nature of their research combining computational methods and neural studies.
Main topics of research include neural dynamics and brain function, advanced memory and neural computing, EEG and brain-computer interfaces, functional brain connectivity studies, advanced graph neural networks, data visualization and analytics, as well as ferroelectric and negative capacitance devices. This thematic diversity indicates a comprehensive approach to understanding brain-related computational models and applied engineering challenges.
Robert B. Kozma
Robert B. Kozma
Robert B. Kozma;Joel Russell
Robert B. Kozma;Joke Voogt
Robert Kozma
Robert B. Kozma
Robert B. Kozma
Robert B. Kozma
Pauline Haddow;David Halliday;Gunnar Tufte;Coello Coello
Joel W. Russell;Robert B. Kozma;Tricia Jones;Joann Wykoff
Robert B. Kozma;Ronald E. Anderson
F. Gonzalez;D. Dasgupta;R. Kozma
Robert B. Kozma
Honorary Chairs;Jacek Zurada;Andries Engelbrecht;Mengjie Zhang
Robert B. Kozma
Robert Kozma;Walter J. Freeman
Detlef H. Heck;Samuel S. McAfee;Yu Liu;Abbas Babajani-Feremi
Andrew A. Zucker;Robert Kozma
Hananel Hazan;Daniel J. Saunders;Hassaan Khan;Devdhar Patel
Daniel A. Wagner;Bob Day;Tina James;Robert B. Kozma
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