Personal profile
Biography
Dr Schetinin has obtained a PhD in Computer Science (Computational Intelligence) in 1997. He worked as a post-doctoral researcher at the University of Jena (Germany) and then at the University of Exeter. He joined the department in 2005.
Research interests
- Computational Intelligence, Machine Learning
- Statistical Analysis, Bayesian Modelling, Risk Assessment
- Pattern Recognition, Computer Vision
- Data Mining and Knowledge Discovery
Teaching Expertise
- Concepts and Technologies of Computational Intelligence (UG, Module Coordinator)
- Decision Support Systems and Data Mining (UG)
- Robotics, Computer Vision (UG)
- Intelligent Agents, and Data Mining (PG)
- Applied Statistics, and Operational Research (PSU)
- Optimal Control Theory (PSU)
- Supervising UG, PG, and PhD projects
Education/Academic qualification
PhD, Computer Science (Machine Learning), Penza State University
External positions
Elsevier, Elsevier, Signal Processing
Reviewer, IEEE Industrial Electronics Society (IES)
Reviewer, IEEE, Biomedical Engineering
Reviewer, IEEE, Evolutionary Computing
Reviewer, IEEE, Intelligent Systems
Reviewer, IEEE, Neural Networks
Reviewer , IEEE, Pattern Analysis and Machine Intelligence
Keywords
- T Technology
- Artificial Intelligence
- Bayesian Decision Making
- Machine Learning
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Collaborations and top research areas from the last five years
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PyBayesDM: Hybrid Framework for Bayesian Adaptive Management under Deep Uncertainty
Schetinin, V. & jakaite, L., 5 Jan 2026Research output: Non-textual form › Software
Open Access -
Bayesian learning strategies for reducing uncertainty of decision-making in case of missing values
Schetinin, V. & Jakaite, L., 22 Sept 2025, In: MDPI Machine Learning and Knowledge Extraction. 7, 3, p. 1-24 106.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)3 Downloads (Pure) -
Explainable GMDH-type neural networks for decision making: case of medical diagnostics
Jakaite, L. & Schetinin, V., 23 Jul 2025, In: Applied Soft Computing. 182, 113607.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)1 Downloads (Pure) -
The batch primary components transformer and auto-plasticity learning linear units architecture: synthetic image generation case
Selitskiy, S., Inoue, C., Schetinin, V. & Jakaite, L., 2 Jan 2024, Proceedings - 2023 10th International Conference on Social Networks Analysis, Management and Security, SNAMS 2023. Institute of Electrical and Electronics Engineers Inc.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Citations (Scopus) -
Adaptive Bayesian learning for making risk-aware decisions: a case of trauma survival prediction
Jakaite, L. & Schetinin, V., 14 Aug 2023, In: Artificial Intelligence in Medicine. 143, 102634.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure)