Research output per year
Research output per year
Personal profile
Biography
Anatoli Nachev is a Lecturer at Business Information Systems, National University of Ireland, Galway. He was awarded a PhD degree from the Bulgarian Academy of Sciences, IMI, Dept Artificial Intelligence with dissertation entitled Adaptive ART2 Neural Networks. He also holds MSc and BSc degrees from the Sofia University, Bulgaria. Research interests include machine leaning, data mining, neural networks, support vector machines, big data. He has edited special issues, published, chaired, and reviewed for leading international journals and conferences in his field. Anatolis teaching areas include data mining, business modelling, business intelligence, big data, artificial intelligence, OOP, functional and logical programming, networks and communications, databases, operating systems, and more.
Research Interests
Data Mining, Neural Networks, Support Vector Machines, Pattern Recognition, Machine Learning, Adaptive Resonance Theory.
Teaching Interests
Machine Learning,Modelling and Analytics,Data Science, Big Data, Computer Networks, Programming
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
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Accepting PhD Students
- Accepting PhD Students
Fingerprint
Dive into the research topics where Anatoli Nachev is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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Exploring Poverty Factors through Predictive Modeling
Nachev, A., 1 Jan 2024, International Conference in Artificial Intelligence.Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
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Identifying Drivers of Social Marginalisation Using Decision Tree Analysis: A Data-Driven Approach
Nachev, A., 2024, In: Journal of Electrical Systems (JES). 20, 11, p. 2930-2943 13 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Analysis of Factors Influencing the Severity of Coronavirus Symptoms Using Predictive Modeling
Nachev, A., 2023, Proceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023. Institute of Electrical and Electronics Engineers Inc., p. 157-162 6 p. (Proceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023).Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
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Analysis of Factors Influencing the Severity of Coronavirus Symptoms Using Predictive Modelling
Nachev, A., 1 Jul 2023, International Conference Artificial Intelligence. Las Vegas, USAResearch output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review
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Predictive Modelling for Analysis of Coronavirus Symptoms Using Logistic Regression
Nachev, A., 1 Dec 2023, In: Journal of Mechanics Engineering and Automation. 13, 3Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
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Civic engagement with community under postgrad projects
Nachev, A. (Other)
0001Activity: Other › Community Engagement/Outreach
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ENNS (European Neural Network Society) (External organisation)
Nachev, A. (Member)
0001Activity: Membership › Membership of board