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David ŠaurView profile

Assistant Professor

• Severe Convective Storms Prediction
• Flash Flood Risk Forecasting
• Meteorological Data Analysis
• +6 more

David Šaur is an Assistant Professor at the Department of Mathematics within Tomas Bata University's Faculty of Applied Informatics. His work bridges meteorology, applied informatics, and crisis management, focusing on severe convective storms and flash flood risk forecasting for regional governance. Developed FLAPRIS , a system for flash flood risk forecasting in the Zlín Region. Collaborated on X-band radar applications for real-time precipitation monitoring. Teaches mathematics-related courses for Software Engineering and Industrial Automation programs. Research Interests include: Predictive modeling of convective precipitation using radar and station data Integration of NWP (Numerical Weather Prediction) models with regional crisis management systems Development of algorithms for 24-hour quantitative precipitation forecasting Quantitative risk assessment for flash floods and storm phenomena His 15 most recent publications (2022-2016) focus on improving convective precipitation forecasting accuracy through algorithm validation, data mining techniques, and hybrid radar/station measurement thresholds. These works underpin practical crisis management tools for municipalities. Project Leadership : Principal Investigator for FLAPRIS (2022-2023) - Ministry of Interior, Czech Republic Principal Investigator for Improved Convective Precipitation Forecast (2019-2022) Researcher for CEBIA-Tech (2018-2020) - National Sustainability Program Advising Experience : Supervised 6 theses (2016-2022) at Tomas Bata University Mentored Master's works on flood risk software tools and hazardous material incident analysis Labs & Teams : CEBIA-Tech Research Center - Advanced ICT for crisis management Working Group for Digitization - Tomas Bata University Sustainability Working Group - Tomas Bata University

• Remote Sensing
• Forest Management
• Bark Beetle Detection
• +5 more

Peter Surový is an Associate Professor at the Czech University of Life Sciences Prague (CZU), where he serves in the Department of Forest Management and Forest Conservation within the Faculty of Forestry and Wood Technology. He also holds the position of Vice-Chairman of the Academic Senate Dean's Board of the Faculty of Law at CZU, demonstrating his cross-disciplinary engagement within the university. Dr. Surový's research focuses on the application of advanced remote sensing technologies in forest management and conservation. His work spans multiple areas including: Utilization of satellite imagery and UAV/drone technology for forest health monitoring Bark beetle detection and forest disturbance assessment Forest fire risk modeling and assessment Drought impact analysis on forest ecosystems Development of innovative methods for forest inventory and mensuration His recent publications highlight a strong emphasis on integrating artificial intelligence with remote sensing data to address pressing forest management challenges. Dr. Surový has been particularly active in developing early warning systems for forest disturbances and creating practical tools that can be implemented by forest managers. His research often involves international collaborations, with projects extending to tropical forests in Ghana and Angola, demonstrating the global relevance of his work. Dr. Surový has been involved in several significant research projects including: "Mapping of forest health status, tree species, and forest risks using innovative ICT data and approaches" (TA0 2021-2024) "Monitoring the status and development of bark beetle-damaged stands after the bark beetle calamity" (MZE 2021-2023) "Frameworks and possibilities of forestry adaptation measures and strategies related to climate change" (EHP 2015-2016) His methodological contributions include certified methodologies for UAV-based forest monitoring and damage assessment, which have been adopted by forest enterprises in the Czech Republic. Dr. Surový's work bridges the gap between cutting-edge technology and practical forest management applications, making significant contributions to sustainable forestry practices.

Zdenek HanzalekView profile

Professor

• Scheduling Algorithms
• Real-Time Systems
• Robotics
• +3 more

Zdenek Hanzalek is a professor at the Czech Technical University in Prague, affiliated with the Industrial Informatics Department within the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC). His research focuses on scheduling algorithms, real-time systems, robotics, optimization, embedded systems, and automation. He leads projects such as ROBOPROX and CERTICAR, addressing advanced industrial production and autonomous vehicle certification. Notable contributions include work on periodic scheduling for time-sensitive networks, energy-efficient robotic systems, and trajectory planning for autonomous vehicles. Research Interests : - Development of efficient scheduling algorithms for real-time and embedded systems. - Optimization techniques for manufacturing systems and robotic applications. - Autonomous driving technologies, including trajectory planning and control systems. - Energy consumption reduction in production and robotic processes. - Time-triggered communication protocols and network scheduling. Recent Trends in Articles : Recent publications emphasize integration of machine learning with scheduling, optimization of charging infrastructure for electrified transportation, and robust scheduling under uncertainty. Key areas include reconfigurable manufacturing systems, mixed-criticality scheduling, and pandemic-resilient workforce planning. Awards & Grants : - Best Student Paper Award (ICORES 2023) for work on analog circuit placement. - Best Paper Award (ICORES 2022) for incremental scheduling algorithms. - Multiple Grade 1 Application Results in national evaluations. - Supported by EU, TAČR, and industry grants (e.g., Horizon 2020, ECSEL). Advising & Teams : Supervised over 20 PhD and master’s students in scheduling, robotics, and embedded systems. Collaborates with industry partners like Porsche Engineering, Skoda Auto, and Honeywell. Leads the CERTICAR project for autonomous vehicle certification and the HERCULES project on many-core systems for autonomous driving. Labs & Infrastructure : - Develops tools like TORSCHE scheduling toolbox and autonomous driving demonstrators (e.g., Porsche Panamera Turbo). - Engages in hardware-software co-design for real-time embedded systems.

• Virtual Reality
• Cognitive Psychology
• Eye-Tracking
• +5 more

Mgr. Vojtěch Juřík, Ph.D. serves as an Assistant Professor at the Institute of Psychology within the Faculty of Arts at Masaryk University in Brno, Czech Republic. His academic work spans cognitive psychology, virtual reality applications, and educational technology, with significant contributions to understanding human cognition in digital environments. His research interests focus on Virtual Reality applications in psychological research, Eye-Tracking methodologies, Spatial Cognition, Human-Computer Interaction, Metacognition, and Self-Regulated Learning . Juřík has pioneered methods for integrating VR technologies into psychological experimentation, particularly examining how immersive environments affect cognitive processes, learning behaviors, and spatial navigation. Analysis of his publication trends reveals a strong emphasis on experimental methodology development (particularly Toggle Toolkit for Unity environments), replication studies using VR to address psychology's replication crisis, and applied educational research examining how technology-supported learning environments influence student outcomes. His work demonstrates consistent interdisciplinary collaboration across psychology, computer science, and geospatial disciplines. As an active researcher, Juřík has organized academic conferences including the Cognition and Artificial Life series and has contributed to numerous collaborative research projects. His methodological innovations in eye-tracking within VR environments have established new standards for ecological validity in psychological research.

• Cybersecurity
• Data Protection
• Internet of Things (IoT)
• +7 more

František Kasl is a Researcher at the Institute of Law and Technology, Faculty of Law, and the Centre for Education, Research and Innovation in Information and Communication Technologies, Faculty of Informatics, both at Masaryk University in Brno, Czech Republic. His work bridges law and technology, with a strong emphasis on cybersecurity, data protection, and digital innovation. Position: Researcher Institution: Masaryk University Faculties: Faculty of Law, Faculty of Informatics Department: Institute of Law and Technology Email: Frantisek.Kasl@muni.cz His research interests include cybersecurity, data protection, Internet of Things (IoT), digital identity, smart grids, mobility as a service, and legal aspects of artificial intelligence and disinformation. He explores how legal frameworks can adapt to rapid technological changes, particularly in critical infrastructure and digital services. The recent publications highlight a consistent focus on cybersecurity workforce development, EU regulatory frameworks (e.g., Network Code on Cybersecurity, EU Digital Identity), and the intersection of law and technology in smart systems. Themes such as bug bounty programs in education, personal data breach notification, and space debris as a weapon reflect his interdisciplinary and forward-looking approach. Although no specific scientific awards are listed, his extensive publication record and active participation in high-impact research projects and conferences indicate significant scholarly contribution. František Kasl supervises students and contributes to teaching, particularly in IT law and cybersecurity. He is involved in multiple collaborative research projects, often with colleagues from law, informatics, and engineering, fostering interdisciplinary innovation. His work contributes to national and EU-level policy discussions, particularly in cybersecurity qualifications and digital identity frameworks. He is part of research teams working on smart grids, secure data sharing (e.g., CovidCareShare), and mobility systems. These teams involve collaboration across faculties and institutions, emphasizing applied research with real-world impact.

• Computer Vision
• Image Processing
• Medical Imaging
• +3 more

Assoc. Prof. Elena Šikudová is an Associate Professor at the Faculty of Mathematics and Physics (Charles University) within the Department of Software and Computer Science Education . She has been affiliated with the Centre for Graphics and Geometric Computing (CGG) since 2017, where she leads the Computer Vision and Image Processing branch. Her teaching focuses on Machine Learning in Computer Vision , Computer Vision , and MATLAB Practicals . University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software and Computer Science Education Academic Rank: Associate Professor Email: sikudova@cgg.mff.cuni.cz Research Interests: Elena Šikudová specializes in Computer Vision and Image Processing , with a focus on Medical Imaging , AI for Content Creation , 3D Shape Classification , and Saliency Detection . Her work bridges theoretical advancements and practical applications in domains such as retinal blood vessel segmentation, cloud rendering for image-based lighting, and pedestrian trajectory analysis. Publication Trends: Her publications (2003–2025) emphasize Deep Learning , 3D Reconstruction , and Visual Perception . Key contributions include Generative Adversarial Networks (GANs) for realistic cloud imagery, Self-Attention Mechanisms in medical imaging, and Tone Mapping Operators for HDR images. She also explores interdisciplinary applications in art analysis and urban visualization. Teaching & Collaborations: Elena Šikudová supervises Computer Graphics and Vision Seminars and collaborates on projects like MUVIS (Participatory Urban Planning) and SPINKLAR-3D (Augmented Reality). Her research integrates tools like MATLAB and GPU acceleration for efficient image processing.

• Empirical Software Engineering
• Software Project Planning
• Machine Learning Applications
• +3 more

Assoc. Prof. Radek Šilhavý, Ph.D., serves as Associate Professor at the Institute of Computer and Communication Systems within the Faculty of Applied Informatics at Tomas Bata University in Zlín, where he has held academic positions since 2001, progressing from Assistant to Assistant Professor before attaining his current rank in 2019. His academic credentials include: 2019: Habilitation in Systems Engineering and Informatics, Mendel University in Brno, Faculty of Business Administration 2006-2009: Doctoral degree in Engineering Informatics, Tomas Bata University in Zlín, Faculty of Applied Informatics 2001-2006: Engineering Informatics studies, Tomas Bata University in Zlín, Faculty of Applied Informatics (Faculty of Technology) Šilhavý's research centers on empirical software engineering methodologies , with specialized focus on complexity estimation and development effort prediction for software project planning. His work integrates machine learning techniques to optimize resource allocation in software engineering contexts, while his teaching encompasses software engineering principles and software systems analysis frameworks. He actively contributes to academic discourse through editorial leadership as Volume Editor for Springer's Advances in Intelligent Systems and Computing and Editor for De Gruyter's Open Computer Science , complemented by rigorous peer review for journals including Nature Scientific Reports and Neurocomputing . As Secretary of his Institute and doctoral supervisor in Engineering Informatics, he directs academic operations while mentoring next-generation researchers through the Computational Methods in Systems and Software Conference series he co-chairs.