جست‌وجوی استاد و پژوهشگر

Pavel Cejnarمشاهده پروفایل

استاد

• Quantum Theory
• Quantum Chaos
• Quantum Phase Transitions
• +۳ مورد دیگر

Pavel Cejnar is a Professor at the Institute of Particle and Nuclear Physics, Faculty of Mathematics and Physics, Charles University in Prague. He has been a full professor since 2012, following his appointment as an associate professor in 2004 and assistant professor in 1995. His research focuses on quantum theory, particularly quantum phase transitions, quantum chaos, and nuclear structure models as laboratories for studying quantum phenomena. Cejnar received his Master's degree in nuclear physics from Charles University in 1988, his Ph.D. in 1995 with a thesis on "statistical modelling of nuclear processes," and his Doctor of Science (DSc.) in 2010. He has held research positions at several international institutions including the University of Fribourg, Yale University, Michigan State University, University of Stellenbosch, University of Cologne, and the European Center for Theoretical Studies in Nuclear Physics in Trento. His research interests span quantum chaos, quantum phase transitions, quantum entanglement, and quantum computing. He views nuclear-structure models as ideal laboratories for studying quantum effects. His work has significant implications for understanding fundamental quantum phenomena in many-body systems. Professor Cejnar's publications show a strong focus on excited-state quantum phase transitions, with numerous papers exploring the connections between quantum criticality, quantum dynamics, and many-body physics. His recent work has delved into quantum geometry, open quantum systems, and the application of quantum phase transitions to quantum information processing. Among his notable scientific contributions are the development of theoretical frameworks for understanding quantum phase transitions in nuclear models and their extensions to other quantum systems. His work bridges nuclear physics with broader quantum physics concepts. Cejnar has supervised numerous students at various levels, from bachelor's theses to PhD dissertations, with research topics centered around quantum phase transitions, quantum chaos, and quantum information. He is also actively involved in teaching quantum mechanics and related topics to both physics students and non-specialists. He has contributed significantly to science popularization, including co-authoring the book "Einstein again in Prague" and developing the "Physics as an Adventure of Knowledge" course, which introduces key concepts of modern physics to bachelor's students.

• Artificial Intelligence
• Formal Verification
• Probabilistic Systems
• +۳ مورد دیگر

Jan Křetínský is a Professor at the Department of Computer Science, Faculty of Informatics, Masaryk University. His research focuses on formal verification, probabilistic systems, and artificial intelligence. He leads projects funded by the European Union and Masaryk University, including initiatives on robust AI and controller synthesis. Key roles include membership in academic boards for theoretical computer science and doctoral supervision. Awards include the 2023–2028 MUNI Award in Science and Humanities. His work bridges theoretical foundations with practical applications in autonomous systems and safety-critical technologies. Education: Habilitation in Informatics (Masaryk University, 2019), PhD (Dr. rer. nat.) Projects: EU Horizon Europe grants (2025–2030), MUNI-funded research on verification and generative AI Labs/Teams: Live-Lab at FI MU Research emphasizes scalable verification techniques for probabilistic models, integration of neural and symbolic AI, and ethical AI frameworks. Current grants address explainability and robustness in generative AI systems.

Petr Navrátilمشاهده پروفایل

استادیار

• Control Systems
• Adaptive Control
• Recursive Estimation
• +۳ مورد دیگر

Institute of Process Management, Faculty of Applied Informatics at Tomas Bata University in Zlín. Petr Navrátil, Ph.D., is an Assistant Professor whose work bridges theoretical and applied control systems research. He holds a Ph.D. from Tomas Bata University in Zlín (2007) and an M.Sc. from Brno University of Technology (2001). A three-month internship at the University of Applied Science Cologne (2003) enriched his expertise in process engineering and control systems. Petr's research spans adaptive control , recursive identification , Delta model , and MIMO systems . His publications (2003-2016) focus on real-time control of laboratory models, optosensor applications, and environmental factors in measurement accuracy. Collaborations with colleagues like Vladimir Bobál and Ján Ivanka highlight his team-based approach to solving complex control problems, including TITO and three-tank systems. His work with MATLAB/Simulink libraries for recursive algorithms and applications in commercial security (light/laser protection systems) underscores his commitment to practical, industry-relevant solutions. The Institute of Process Control at Tomas Bata University serves as his primary research environment, where he develops tools and frameworks for both educational and industrial applications.

• Numerical methods for partial differential equations
• Discontinuous Galerkin method
• Mesh adaptation
• +۵ مورد دیگر

Vit Dolejsi is a Professor at the Department of Numerical Mathematics , Faculty of Mathematics and Physics , Charles University in Prague . He holds a PhD in Mathematical Modeling and Mechanics from Charles University and Universite Mediterranee. His research focuses on Numerical methods for partial differential equations with applications in Fluid dynamics , particularly using Discontinuous Galerkin methods and Anisotropic mesh adaptation . Phone: [+420] 95155 3373 Email: vit.dolejsi@matfyz.cuni.cz Office: Sokolovska 83, 186 75 Praha 8 - Karlin, Czech Republic Research Interests : Numerical methods for nonlinear PDEs High-order adaptive DG schemes Error estimation and adaptivity Compressible and incompressible flow simulations Applications in porous media and atmospheric modeling Algebraic and discretization error control Publications & Contributions : Authored monographs on Anisotropic hp-Mesh Adaptation (2022) and Discontinuous Galerkin Method (2015) Published 15+ journal papers (2015-2025) on DG methods, mesh adaptation, and error analysis Developed freely available CFD software implementations Contributed to hp-adaptive algorithms and space-time DG for nonlinear problems

• Augmented Reality
• Robotics
• Computer Vision
• +۳ مورد دیگر

Vítězslav Beran is an Associate Professor at the Department of Computer Graphics and Multimedia (DCGM) within Brno University of Technology . His research focuses on Augmented Reality , Robotics , and Computer Vision . Role: Vice-dean for Marketing and External Relations Contact: beranv@fit.vut.cz, vicedean-foreign@fit.vut.cz Research interests include: Augmented Reality Applications Human-robot Interaction Image and Video Processing 3D User Interfaces His recent publications (2019-2024) explore: End-User Robot Programming Reachability Solutions in Industrial AR Drone Control Systems 3D Interaction Techniques Projects span both academic research and practical applications in: Embedded Systems Computer Vision Algorithms Collaborative Workspace Design Patents include: 2015: Multifunctional Camera System 2012: Data Distribution Method Teaching activities: Image Processing Computer Graphics User Interface Programming Advanced Computer Vision

Erik Dernerمشاهده پروفایل

پژوهشگر

• Human-Centric Artificial Intelligence
• Large Language Models
• Robotics
• +۶ مورد دیگر

Erik Derner is an ELLIS Postdoctoral Researcher at the ELLIS Unit Alicante, focusing on human-centric AI and ethical LLMs. He collaborates with Prof. Robert Babuška's Machine Learning team at the Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC) and contributes to the VIVES project under the PERTE of New Language Economy. His work addresses biases in LLMs, AI safety, and security, while also exploring symbolic regression for robotics and reinforcement learning. Education: Ph.D. in Robotics and Machine Learning (2022) from Czech Technical University in Prague, with B.Sc. and M.Sc. in Open Informatics. Erik's research spans human-centric AI , large language models , robotics , computer vision , and reinforcement learning . He emphasizes ethical and secure AI development, particularly for underrepresented languages. His work integrates symbolic regression with neural networks to create interpretable and efficient models for robotics. Recent publications highlight his focus on LLM security , gender bias analysis , and symbolic regression for dynamic systems. Notable trends include ethical AI, multimodal red-teaming, and physics-informed modeling. Scientific Awards: Werner von Siemens Award (2023) for his Ph.D. thesis. CTU FEE Dean's Award (2023) for a prestigious dissertation. Erik supervises student projects in robotics, AI ethics, and LLM security, including internships and theses on topics like mental health risks, toxicity evaluation, and real-time assistance for the visually impaired.

• Adaptive Software Architectures
• Smart Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +۵ مورد دیگر

Tomáš Bureš is a Professor at the Department of Distributed and Dependable Systems , Faculty of Mathematics and Physics , Charles University . His work focuses on adaptive software architectures for smart cyber-physical systems (CPS) and IoT, leveraging machine learning (neural networks) for self-adaptation, edge-cloud systems, and model-driven development. Research Groups: Leader of the SmartArch research group. Projects: Involved in ExtremeXP , ESTABLISH , AFarCloud , FitOptiVis , Trust 4.0 , ASCENS , RELATE ITN , Q-ImPrESS . Publications span topics like performance regression testing, ML workflow optimization, confidentiality analysis under uncertainty, and edge-cloud continuum modeling. Key subfields include self-adaptive architectures, adaptation rules, component ensembles, and statistical methods in software engineering. His work bridges theoretical models (e.g., DEECo, SOFA) with practical tools (e.g., ExpEngine, Robin) for CPS and cloud applications. Co-Authors include P. Hnětynka, M. Abdullah, R. Heinrich, and others. Publications appear in venues like IEEE Transactions on Autonomic Computing , ACM/SPEC ICPE , and ECSA Workshops .

• integrated photonic structures
• modeling
• characterization
• +۷ مورد دیگر

Jiří Čtyroký is a Professor at the Czech Technical University in Prague, Faculty of Nuclear and Physical Engineering, and a Senior Researcher in the Fiber Lasers and Nonlinear Optics Department at the Institute of Physics and Technology. His expertise lies in the theory, modeling, and characterization of integrated photonic structures and components , with applications in optical sensors, Bragg gratings, and surface plasmon technology. Education: Professor in Applied Physics (2005) Associate Professor in Physical Electronics (1999) DrSc. in Electronics and Vacuum Technology (1990) CSc. in Applied Physics (1972) Ing. in Communication Technology (Microwaves) (1968) His research spans nonlinear optics, photonic crystal slabs, THz waveguides, and subwavelength grating metamaterials . Recent publications focus on silicon waveguide designs, graphene integration in photonic devices, and Bragg filter optimization. He has contributed to 3D Fourier propagation algorithms and leaky-mode resonant grating theory , with a patent for a multichannel surface plasmon optical sensor . Scientific recognitions include IEEE Life Senior Member and Fellow of the Institute of Physics (UK) . He serves on doctoral thesis committees at Charles University and Czech Technical University, and contributes to professional societies like the Photonics Society and OPTICS. His projects include modeling photonic metal nanostructures, optimizing tapered optical fibers for sensors, and advancing subwavelength grating waveguide simulations.

• Ethics
• Applied Ethics
• Clinical Research
• +۴ مورد دیگر

Anetta Jedličková serves as a Lecturer at the Department of Philosophy, Faculty of Humanities, Charles University in Prague, and concurrently teaches Ethics at the Faculty of Biomedical Engineering, Czech Technical University. She chairs the Committee for Ethical Research at FHS UK and supervises doctoral candidates in Applied Ethics. Her academic foundation includes: Doctor of Medicine, Charles University Faculty of Medicine (1985-1991) Postgraduate Pharmaceutical Medicine, University of Wales Cardiff (1999-2000) PhD in Applied Ethics, Charles University Faculty of Humanities (2011-2014) Dr. Jedličková's research integrates clinical medicine with ethical frameworks, focusing on AI ethics, pharmacovigilance, and risk management in clinical research. Her extensive training in clinical trial auditing and AI ethics certification positions her at the intersection of medical practice and emerging technology governance. Analysis of her 2022-2024 publications reveals dominant trends in AI ethics (40% of output), clinical research ethics (30%), and medical specialty ethics (30%). Her work consistently addresses ethical implementation challenges in autonomous systems, pandemic-responsive clinical protocols, and cross-disciplinary medical applications. She actively mentors doctoral students in Applied Ethics and secures research funding through Technology Agency of the Czech Republic (CZDEMOS4AI) and Czech Ministry of Interior grants for crisis distribution systems. Her IEEE AI Ethics Oversight membership demonstrates international recognition in technology governance. Dr. Jedličková leads the FHS UK Committee for Ethical Research while contributing to the IEEE AI Ethics Oversight Working Group, establishing dual institutional frameworks for ethical review in academic research and AI development.

• Artificial Intelligence
• Multi-Agent Path Finding
• Robotics
• +۴ مورد دیگر

Jiří Švancara is a Lecturer at the Department of Theoretical Computer Science and Mathematical Logic (KTIML) within the Faculty of Mathematics and Physics at Charles University in Prague. His academic career focuses on Artificial Intelligence, particularly Multi-Agent Path Finding (MAPF), where he has established himself as a prominent researcher with numerous publications in top-tier conferences. His research interests span across Multi-Agent Path Finding , Robotics , Algorithm Design , and Constraint Satisfaction Problems . Švancara has made significant contributions to the field of MAPF, developing novel approaches for large-scale maps, temporal uncertainty handling, and efficient solving methods. His work bridges theoretical foundations with practical applications in robotics and transportation systems. Analysis of his recent publications reveals a strong focus on improving the scalability and robustness of MAPF algorithms. His research explores graph pruning techniques for large maps, handling temporal uncertainty in path execution, and comparing different objective functions for optimization. He has also investigated applications of MAPF in autonomous intersections and train routing systems, demonstrating the practical relevance of his theoretical work. Best Paper Award for 'Multi-agent Path Finding on Real Robots: First Experience with Ozobots' at IBERAMIA 2018 Švancara actively teaches multiple courses including Introduction to Artificial Intelligence, Propositional and Predicate Logic, and Algorithms and Data Structures. His teaching spans both theoretical foundations and practical implementation, with students engaging in programming assignments that reflect current AI challenges. His research collaborations are extensive, with frequent co-authorship with Roman Barták and other researchers in the field, indicating strong integration within the international AI research community. His laboratory work involves practical implementations of MAPF algorithms, including testing on real robots as evidenced by several publications describing experiments with Ozobots and other robotic platforms. This hands-on approach connects theoretical research with tangible robotic applications, providing valuable validation for his algorithmic contributions.

• Remote Sensing
• Forest Management
• Bark Beetle Detection
• +۵ مورد دیگر

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 Hanzalekمشاهده پروفایل

استاد

• Scheduling Algorithms
• Real-Time Systems
• Robotics
• +۳ مورد دیگر

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.

Jakub Novákمشاهده پروفایل

پژوهشگر

• Modeling of nonlinear systems
• Embedded systems
• Predictive control
• +۴ مورد دیگر

Jakub Novák is a Researcher at the Faculty of Applied Informatics , Tomas Bata University in Zlín , with a focus on modeling and control of nonlinear systems, embedded systems, and predictive control. He works at the Regional Research Center CEBIA-Tech and previously at the Research Center for Applied Cybernetics. Education : Ph.D. in Applied Informatics (2007) and Master's degree in Technology (2002) from Tomas Bata University/Brno University of Technology International experience at Politecnico di Milano (2003) and Strathclyde University (2004) Research interests center on nonlinear system modeling , predictive control algorithms , and embedded control system implementation . His work includes applications in magnetic levitation, coupled drives, and chemical thermal processes. He has developed Simulink models for educational purposes and contributed to tools like LM Toolbox for local model networks. Publication trends show a strong emphasis on predictive control (14+ papers) and nonlinear system modeling across various platforms including magnetic levitation plants and twin rotor MIMO systems. He has contributed to real-time control solutions and mixed-integer programming implementations. Advising includes supervising 5 master's theses and 7 bachelor's theses since 2006. Collaborations with Petr Chalupa (55+ co-authored works) and Vladimír Bobál (33 co-authored works) indicate long-term research partnerships.

Jan Valouchمشاهده پروفایل

استادیار

• Electromagnetic Compatibility
• Security Engineering
• Security Futurology
• +۲ مورد دیگر

Jan Valouch is an Assistant Professor at Tomas Bata University in Zlín, affiliated with the Faculty of Applied Informatics and Institute of Safety Engineering. He specializes in electromagnetic compatibility and security futurology, with extensive experience in telecommunications from his 16-year military career (1993-2009). Holding a Ph.D. from the University of Defence (2007), his research focuses on shielding design, alarm systems, and security evaluation methodologies. Doctorate: University of Defence (2007) Military Academy in Brno (1994) His publications (40+ titles) analyze EMC of IoT devices, security cameras, and critical infrastructure. Key collaborations include Milan Adámek, Stanislav Kovář, and Hana Urbančoková. Valouch supervises both bachelor's and master's students in security engineering topics. Recent research trends include: 3D digital twin reconstruction EMC testing of Raspberry Pi and Arduino platforms Security evaluation algorithms Wireless relay susceptibility Shielding effectiveness calculation

• Forest Engineering
• Timber Harvesting
• Bark Beetle Management
• +۲ مورد دیگر

Radim Löwe is an Educator and Deputy Manager at the Department of Forestry Technologies and Constructions within the Faculty of Forestry and Wood Technology at the Czech University of Life Sciences Prague. Additionally, he serves as Vice-Dean for External Relations, overseeing institutional partnerships and outreach initiatives. His academic roles integrate teaching, research leadership, and administrative responsibilities in forest resource management. Löwe's research centers on optimizing forestry operations and ecological sustainability. Key interests include: Timber harvesting efficiency and volume estimation algorithms Bark beetle outbreak mitigation using pheromone traps and anti-attractants Mechanical properties of beetle-affected wood Forwarder performance standardization in Czech forestry Climate-resilient forest management strategies His recent publications (2022-2024) demonstrate a strong focus on solving pressing forestry challenges through technological innovation. Predominant themes include bark beetle management (7 papers), timber measurement methodologies (5 papers), and sustainable forest bioeconomy (3 papers), reflecting applied research with direct industry relevance. Löwe secured research funding for the project Rozklad přesnosti metodik používaných v harvestorech pro stanovení objemu vyrobených sortimentů (GA FLD 2018-2019), advancing precision in harvester-based timber volume calculations. As Vice-Dean, he coordinates faculty-level external partnerships and industry engagement initiatives.