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Benjamin Soibam

Dr. Soibam’s overall research area is computational genomics and applied machine learning with focus on integrative analysis of large scale genomic datasets to decipher regulatory pathways [...]

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Subash Pakhrin

Dr. Pakhrin is an assistant professor in Computer Science and Engineering Technology department at the University of Houston-Downtown. His research interests include the detection of various [...]

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Chengwei Lei

Dr. Lei’s research interests lie in the broad area of bigdata analysis, large scale data mining, bioinformatics, network topology analysis, and power grid risk evaluation.

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Athanasios (Thanos) Aris Panagopoulos

Thanos Panagopoulos (nee Aris Athanasios Panagopoulos) is an Assistant Professor of Computer Science at California State University, Fresno, USA. He has dedicated himself to prototyping new [...]

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Jing Hou

The next-generation computer networks are characterized by novel distributed paradigms composed of autonomous and intelligent nodes. Prominent examples of these modern networks are IoT-based [...]

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Agoritsa Polyzou

Dr. Polyzou is an Assistant Professor at the Knight Foundation School of Computing and Information Sciences at Florida International University (FIU), Miami. Agoritsa received her Ph.D. degree in [...]

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Moayed Daneshyari

Dr. Daneshyari’s area of interest and expertise include Deep Learning, Generative AI, Machine Learning and AI, Computational Intelligence, Genetic algorithms, Swarm Intelligence, [...]

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Yanzhao Wu

Dr. Wu is an assistant professor in Computer Science at Florida International University. His research interest lies at the intersection of systems and deep learning, especially systems [...]

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Tao Wang

Dr. Tao Wang is an Assistant Professor in Department of Computer Science at New Mexico State University. His research primarily focuses on cybersecurity, especially on network security, mobile [...]

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Gongbo Liang

Dr. Liang has focused on computer vision and deep neural network research since 2014. He is excited about modern deep neural networks to solve previously unsolvable domain-specific challenges [...]