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.

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.

• Educational Leadership
• School Management
• Pedagogy
• +۳ مورد دیگر

Milan Pol is a Professor at the Institute of Educational Sciences, Faculty of Arts, Masaryk University in Brno, Czech Republic. He holds the academic titles PhDr. and CSc., with office C/C.411 at Arna Nováka 1 and contact email pol@phil.muni.cz. He actively serves on the Scientific Council Commission of the Faculty of Arts and the Industry Council for Educational Sciences, Pedagogy, School Pedagogy, and Social Education. His research focuses on educational leadership, school management, and pedagogy, examining collegiality in schools, teacher wellbeing, and leadership impacts on school culture. He investigates inclusive education, trust/control dynamics in educational processes, and systemic school transformations. With over 390 publications, his work bridges theoretical frameworks and practical applications in educational settings across Europe. Recent publications (2021-2025) demonstrate consistent emphasis on collegial support systems, educational policy responsiveness to global challenges, and inclusion implementation barriers. His international projects like the European Education Area interim evaluation and ENIRDELM network outputs reveal growing attention to pandemic impacts on educational inequality, digitalization risks, and trust erosion in school systems. No scientific awards, fellowships, or medals were documented in the source materials. As a thesis supervisor, Pol guided research on Russian parents' relationships with Czech schools (2020), entrepreneurship education (2016), high school diploma transformations (2009), teacher identity construction (2009), principal case studies (2008), and school culture (2007). He consulted on institutional-social environment relationships (2012). Specific grant funding details were not disclosed in available records. He collaborates extensively through the ENIRDELM network with researchers including Bohumíra Lazarová, Eoghan Gallagher, and international partners across 15+ European nations. His current work centers on developing practical frameworks for school leadership collegiality and wellbeing-focused management approaches.

• 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.

• Materials Science
• Condensed Matter Physics
• Metallurgy
• +۳ مورد دیگر

Anna Veverková is a PhD student at the Department of Materials Physics, Faculty of Mathematics and Physics, Charles University. Her academic journey began with a Bachelor's degree in General Physics (2014-2017) and continued with a Master's in Condensed Matter Physics and Materials (2017-2019), both at Charles University. She has been pursuing her doctoral studies in Condensed Matter Physics and Materials Research since 2019. BSc in General Physics (2014-2017) MSc in Condensed Matter Physics and Materials (2017-2019) PhD in Condensed Matter Physics and Materials Research (2019-present) Her research focuses on metastable beta titanium and zirconium alloys, with particular emphasis on phase transformations, microstructural evolution, and mechanical properties. She investigates the effects of severe plastic deformation, powder metallurgy, and oxygen content on alloy behavior for bioapplications and nuclear reactor use. Anna has participated in international conferences including ISPMA 2017, LightMAT 2017, METAL 2018, Thermec 2018, and COMAT 2018. Her work includes GAUK-funded projects and collaborations on titanium alloy characterization.

• Semiconductor Physics
• Magnetism
• Spintronics
• +۳ مورد دیگر

Jakub Zázvorka is a researcher at the Institute of Physics, Charles University , focusing on semiconductor physics and magnetism. His work bridges materials science with spintronics and optoelectronics, particularly in CdTe-based materials and magnetic skyrmions. Current projects: Magneto-Optical Sensor Development , Spintronic Applications of Antiferromagnetic Structures Teaching: Electron Transport in Quantum Systems , Introductory Optics Seminar His research explores chiral magnetic structures for spintronic devices and semiconductor defects in radiation detectors. Recent publications analyze skyrmion dynamics and optical/magneto-optical properties of advanced materials. Grants: GACR 23-06691S : Sensor development using magneto-optical diffraction PRIMUS/20/SCI/018 : Antiferromagnetic multilayers for spintronics

• Ethnology
• Oral History
• Contemporary History
• +۶ مورد دیگر

Oto Polouček is an Assistant Professor at the Institute of European Ethnology, Faculty of Arts, Masaryk University in Brno, Czech Republic. Born in 1990 in Brno, he has established himself as a prominent researcher specializing in ethnological studies of the Moravian countryside during late socialism and the post-socialist transformation period. Ph.D. in Ethnology, Masaryk University (2019) Mgr. in Ethnology, Masaryk University (2015) Mgr. in Oral History, Charles University in Prague (2015) Bc. in Ethnology, Masaryk University (2012) Dr. Polouček's research focuses on socio-cultural changes in Czech society during the second half of the 20th century, particularly examining forms of association and social life in the Moravian countryside. His work extensively utilizes oral history methodology to explore the period of so-called normalization and the post-socialist transformation. His research bridges ethnology, contemporary history, and rural studies, with particular attention to how communities maintained social structures under socialist regimes and adapted during political transitions. His recent publications demonstrate a consistent focus on the intersection of rural life, socialist policies, and cultural continuity. The articles reveal a methodological strength in combining ethnographic fieldwork with historical analysis, particularly through oral history interviews. His research spans multiple disciplines including ethnology, educational history, political history, and cultural studies, with particular emphasis on the Czechoslovak context during the late socialist period and its aftermath. Czech Ethnographic Society Award for 2020 (publication category) for the book Grandmothers on Big Beat: Social Life in the Moravian Countryside of Late Socialism 2nd place in the Czech Oral History Association competition for best student thesis (2015) As an educator, Dr. Polouček supervises final theses in ethnology and teaches courses including Analysis and Processing of Qualitative Data, The Socialist Period from an Ethnological Perspective, Interdisciplinary Study of the Contemporary Countryside, and Field Research I and II. His academic activities extend to international collaborations, with teaching stays at the University of Latvia (2024) and research stays at universities in Poland, Slovakia, and Lithuania. He serves as an editor for the Ethnographic Journal and is an active member of professional organizations including the Czech Ethnographic Society, Czech Oral History Association, and SIEF.

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

Karel Černýمشاهده پروفایل

استادیار

• Sociology of Conflict
• Sociology of Social Change
• Historical Sociology
• +۵ مورد دیگر

Karel Černý, Ph.D., serves as Assistant Professor in the Department of Sociology at Charles University's Faculty of Humanities in Prague. His academic career is anchored in sociological analyses of conflict, social transformation, and Middle Eastern societies, with particular emphasis on Muslim communities in Western contexts. His educational background includes: Ph.D. in Sociology (2007-2011) from Charles University, focusing on uneven modernization in the Middle East M.A. in Sociology (2000-2006) from Charles University's Faculty of Philosophy and Arts Černý's research centers on structural analyses of political instability, with dual expertise in Middle Eastern conflict dynamics and Muslim minority integration in Western societies. His work bridges historical sociology with contemporary case studies, examining how civilizational frameworks interact with local political realities. He employs comparative methodologies to analyze uneven modernization processes and their consequences for state formation and social cohesion. His 15 most recent publications reveal consistent thematic focus on conflict sociology and Middle Eastern studies, with increasing attention to Muslim communities in Europe after 2015. The corpus demonstrates methodological diversity spanning quantitative historical analysis, case studies of revolutionary movements, and ethnographic examinations of religious minorities. His scientific recognition includes: Fulbright Fellowship (2012-2013) at University of California, Santa Barbara Sasakawa Foundation grant (2010) German Marshall Fund research fellowship (2009) Černý has secured significant research funding as principal investigator for projects including GAČR-funded studies on Arab revolutions and uneven modernization (2013-2015), along with field research on Egyptian revolution dynamics (2012). His media contributions include interviews with Respekt magazine on Czech Muslims and Iraqi Yazidi migration patterns based on fieldwork in Iraq.

• 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.

Jan Francمشاهده پروفایل

استاد

• Hard X-ray and Gamma-ray Detectors
• Semiconductor Physics
• Defects in Semiconductors
• +۵ مورد دیگر

Prof. Ing. Jan Franc, DrSc. is a Professor at the Institute of Physics, Faculty of Mathematics and Physics, Charles University (since 2012). He specializes in semiconductor physics, radiation detector development, and defect analysis in CdTe-based materials. Education: MSc in Solid State Physics (Czech Technical University, 1987), PhD in Condensed Matter Physics (Charles University, 1994), DrSc (Comenius University, 2005) His research interests focus on: Hard X-ray and gamma-ray semiconductor detectors Defects and deep levels in semiconductors Photoconductivity and photoluminescence Electro-optic and thermoelectric effects Schottky contact properties CdTe alloy characterization Recent publications highlight advancements in CdTe/CdZnTe detector materials, defect engineering, and optical/electrical characterization. Scientific awards include leadership roles in IEEE Transactions on Nuclear Science, presidency of the Czech Humboldt Club, and editorial contributions to SPIE conferences. He has received grants from GACR and TACR for projects like 'CdSeTe radiation detectors' and 'Nuclear Safety Technology Center.' Labs and teams: Active in the Magnetooptic Laboratory (Heavy Laboratories Troja) and collaborates with international institutions including IEEE and SPIE. His work involves simulation, experimental characterization, and material synthesis groups.

• 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.