Ondrej Krejcar

Ondrej Krejcaris a full professor in systems engineering and informatics at the University of Hradec Kralove, Faculty of Informatics and Management, Center for Basic and Applied Research, Czech Republic, and at the Skoda auto university. He is also Research Fellow at Malaysia-Japan International Institute of Technology, University Technology Malaysia, Kuala Lumpur, Malaysia. In 2008 he received his Ph.D. title in technical cybernetics at Technical University of Ostrava, Czech Republic. He is currently rector at Skoda auto university from 2024. At present, he is also a director of the Center for Basic and Applied Research at the University of Hradec Kralove. In years 2020-2024 he was vice-rector for science and creative activities of the University of Hradec Kralove, and in years 2016-2020 he was vicedean for science and research at Faculty of Informatics and Management, UHK. His h-index is 32 according to Web of Science, with more than 4600 citations received in the Web of Science, where more than 200 IF journal articles is indexed in JCR index (h-index 38 at SCOPUS with more than 6000 citations). In 2018, he was the 14th top peer reviewer in Multidisciplinary in the World according to Publons and a Top Reviewer in the Global Peer Review Awards 2019 by Publons. Currently, he is on the editorial board of several journals indexed in Q1/Q2 at JCR. He was a Vice-leader and Management Committee member at WG4 at project COST CA17136, since 2018 until 2024. He has also been a Management Committee member substitute at project COST CA16226 since 2017 until 2023. Since 2019, he has been Chairman of the Program Committee of the KAPPA Program, Technological Agency of the Czech Republic as a regulator of the EEA/Norwegian Financial Mechanism in the Czech Republic (2019-2024). Since 2020, he has been Chairman of the Panel 1 (Computer, Physical and Chemical Sciences) of the ZETA Program, Technological Agency of the Czech Republic. Since 2014 until 2019, he has been Deputy Chairman of the Panel 7 (Processing Industry, Robotics, and Electrical Engineering) of the Epsilon Program, Technological Agency of the Czech Republic. At the University of Hradec Kralove, he is a guarantee of the doctoral study program in Applied Informatics, where he is focusing on lecturing on Smart Approaches to the Development of Information Systems and Applications in Ubiquitous Computing Environments. His research interests include Technical Cybernetics, Ubiquitous Computing, Control Systems, Smart Sensors, Wireless Technology, Biomedicine, Image Segmentation and Recognition, Biometrics, Biotelemetric System Architecture (portable device architecture, wireless biosensors), development of applications for mobile / remote devices with use of remote or embedded biomedical sensors.

Publications

Norm Augmented Reinforcement Learning Agents With Synthesized Normative Rules: A Proposed Normative Agent Framework
Norm Augmented Reinforcement Learning Agents With Synthesized Normative Rules: A Proposed Normative Agent Framework
Mohd Rashdan Abdul Kadir, Ali Selamat, Ondrej Krejcar. © 2024. 34 pages.
The dynamic deontic (DD) is a norm synthesis framework that extracts normative rules from reinforcement learning (RL), however it was not designed to be applied in agent...
Answering Why and When?: A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics
Answering Why and When?: A Systematic Literature Review of Application Scenarios and Evaluation for Immersive Data Visualization Analytics
Najwa Ayuni Jamaludin, Farhan Mohamed, Vei Siang Chan, Mohd Shahrizal Sunar, Ali Selamat, Ondrej Krejcar, Andres Iglesias. © 2023. 29 pages.
Immersive analytics (IA) is a fast-growing research field that concerns improving and facilitating human sense making and data understanding through an immersive experience....
Detecting Phishing URLs With Word Embedding and Deep Learning
Detecting Phishing URLs With Word Embedding and Deep Learning
Ali Selamat, Nguyet Quang Do, Ondrej Krejcar. © 2023. 24 pages.
The past decade has witnessed the rapid development of natural language processing and machine learning in the phishing detection domain. However, there needs to be more research...
A Fog-Based Threat Detection for Telemetry Smart Medical Devices Using a Real-Time and Lightweight Incremental Learning Method
A Fog-Based Threat Detection for Telemetry Smart Medical Devices Using a Real-Time and Lightweight Incremental Learning Method
Ali Selamat, Shilan S. Hameed, Liza Abdul Latiff, Shukor A. Razak, Ondrej Krejcar, Marek Penhaker. © 2022. 19 pages.
Smart telemetry medical devices do not have sufficient security measures, making them weak against different attacks. Machine learning (ML) has been broadly used for cyber-attack...
Improve Imbalanced Multiclass Classification Based on Modified SMOTE and Feature Selection for Student Grade Prediction
Improve Imbalanced Multiclass Classification Based on Modified SMOTE and Feature Selection for Student Grade Prediction
Siti Dianah, Ali Selamat, Ondrej Krejcar. © 2022. 19 pages.
In higher education institutions (HEI), the ability to predict student grades as an early warning system is one of the important areas that gained attention to improve...