Oleksandr Mazurets

Country: NA

Education: Unknown

Affiliation: Khmelnytskyi National University

Domain of Research: Machine Vision,Intelligent Systems,Artificial Intelligence,e-Learning,Agents and Multi-agent Systems,Ambient Intelligence,Ant colony optimization,Artificial Consciousness and Artificial Brain,Artificial Imagination,Artificial Intelligence,Artificial Intuition,Artificial Neural Networks,Assistive Robots,Augmented Reality,Autonomous Robots,Bayesian networks,Big Data,Big data analytics for security,Bioinformatics,Business Intelligence,Cloud Computing,Collaborative Learning,Combinatorial optimization,Computational Learning Theory,Computer Vision,Creative and Entertaining Robots,Data Mining,Data Retrieval and Data Mining,Data Science,Databases,Decision Making,Decision Support Systems,Decision theory,Distance Learning,Educational Systems Design,e-Learning,e-Learning Organisational Issues,e-Learning Tools,Evolutionary Algorithms,Evolutionary Computing,E-Waste,Expert Systems,Facial and Object Recognition,Fuzzy Logic,General Intelligence,Genetic Algorithms,Geographic Information Systems,Health care Systems,Human Computer Interaction,Human-Robot Interaction,Image Processing,Image Processing and Analysis,Image/Video Processing,Information Retrieval,Information Theory,Intelligent Driving,Intelligent Systems,Internet of Things,Knowledge Engineering and Mining,Knowledge Management,Knowledge Representation,Machine Learning,Machine Perception,Machine Vision,Medical Diagnosis,Mobile Adhoc Networks,Mobile Applications,Mobile Robots,Motion And Manipulation,Natural Language Processing,Neural Networks,Neuro-Fuzzy Systems,Numerical Analysis,Ontology Engineering,Parallel and Distributed Computing,Parallel Computing,Pattern Recognition,Perception and Learning,Problem Solving,Robotics,Secure Transactions,Semantic Networks,Sentiment Analysis,Smart Buildings and Cities,Smart Cities,Smart Grid,Smart Healthcare,Social Computing,Speech Recognition,Supervised and Unsupervised Learning,Support Vector Machines,Swarm Intelligence,Video Analysis,Virtual Learning Environments,Virtual Reality,Web Analytics,Web-based Learning Communities

Biography: I am an Associate Professor at the Department of Computer Science, Khmelnytskyi National University (Ukraine), and I hold a PhD (Engineering Science). My expertise covers artificial intelligence, deep learning, computer vision, natural language processing, data mining, and explainable AI. I contribute to applied R&D projects, including neural-network-based analysis of visual data and decision-support methods, and I have an active publication record in peer-reviewed venues. I have experience as a reviewer of publications, including those indexed in Scopus: scientific journals («Asian Journal of Research in Computer Science», «Archives of Current Research International», «Journal of Engineering Research and Reports» etc.), conference proceedings (IntelITSIS, ICST, ExplAI, ICyberPhyS etc.) and monographs («Walls That Teach: Graffiti, Education, and the Pedagogy of Resistance»). As a reviewer, I provide constructive, confidential, and timely peer reviews, focusing on methodological rigor, reproducibility, adequate baselines, sound evaluation protocols, and clear reporting of limitations.