Leo Hatvani, Lecturer

Leo has published research in the domains of embedded systems, formal verification, and machine learning. His secondary interests are data visualization and human-computer interaction. He is currently involved in teaching of the following courses:


He has been in the organization of these recent conferences and workshops:

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Latest publications:

Remote integration of advanced manufacturing technologies into production systems: integration processes, key challenges and mitigation actions (Jan 2023)
Anas Fattouh, Koteshwar Chirumalla, Mats Ahlskog, Moris Behnam, Leo Hatvani, Jessica Bruch
Journal of Manufacturing Technology Management (JMTM)

Artificial Intelligence Methods for Optimization of the Software Testing Process With Practical Examples and Exercises (Jul 2022)
Sahar Tahvili, Leo Hatvani

Dilemmas in designing e-learning experiences for professionals (Dec 2021)
Mobyen Uddin Ahmed, Ioanna Aslanidou, Jakob Axelsson, Shahina Begum, Leo Hatvani, Anders Olsson, Sebastian Schwede, Carina Sjödin, Jan Skvaril, Valentina Zaccaria
20th European Conference on e-Learning (ECEL)

Performance Comparison of Two Deep Learning Algorithms in Detecting Similarities Between Manual Integration Test Cases (Oct 2020)
Cristina Landin, Leo Hatvani, Sahar Tahvili, Hugo Haggren , Martin Längkvist , Amy Loutfi , Anne Håkansson
The Fifteenth International Conference on Software Engineering Advances (ICSEA 2020)

A Novel Methodology to Classify Test Cases Using Natural Language Processing and Imbalanced Learning (Aug 2020)
Sahar Tahvili, Leo Hatvani, Enislay Ramentol , Rita Pimentel , Wasif Afzal, Francisco Herrera
Engineering Applications of Artificial Intelligence (EAAI)

Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin
The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)