جست‌وجوی استاد و پژوهشگر

Andreas Obersteinerمشاهده پروفایل

استاد

• Mathematics Education
• Cognitive Psychology
• Teacher Diagnostic Competence
• +۳ مورد دیگر

Prof. Dr. Andreas Obersteiner serves as Professor of Mathematics Education at the Technical University of Munich (TUM), School of Social Sciences and Technology, Department of Educational Sciences since April 2021. He leads the Chair of Mathematics Education and holds the position of Academic Program Director for the Professional Profile 'Natural Science Education – Teaching at Gymnasium' since 2022. His research centers on mathematical cognition, teacher development, and fraction learning, with significant contributions to understanding cognitive biases in numerical processing. Education Background 1. Staatsexamen for Teaching at Gymnasium (1999-2004) 2. Staatsexamen (2005-2007) PhD in Educational Sciences, TUM School of Education (2012) Habilitation, TUM School of Education (2018) Research Focus Prof. Obersteiner's work investigates mathematical cognition with emphasis on mental number representation and the natural number bias in fraction comparison. His research employs eye-tracking methodology to analyze cognitive processes in students and teachers. He develops interventions to enhance teacher diagnostic competence and mathematical learning, particularly through projects like FractAl and FracVisET that address fraction understanding. His interdisciplinary approach bridges educational psychology, cognitive science, and mathematics education. Publication Trends His recent publications (2023-2025) demonstrate consistent focus on fraction cognition, natural number bias mitigation, and teacher assessment competencies. He frequently employs mixed-methods approaches combining eye-tracking, verbal reports, and experimental interventions. Publication venues include top-tier journals like Learning and Instruction and Educational Studies in Mathematics , reflecting his impact on both theoretical and practical aspects of mathematics education. Scientific Recognition Alexander von Humboldt Fellowship (2017-2018) Academic Leadership Prof. Obersteiner supervises doctoral candidates including Dr. Sarah Huber and leads multiple funded projects (ALICE, DigiProMIN, COSIMA). As Academic Program Director, he shapes teacher education curricula. His editorial roles include Associate Editor for the Journal of Numerical Cognition (2020-2024) and coordination of EARLI's Special Interest Group 'Conceptual Change' (2019-2023). Research Infrastructure He directs the Chair of Mathematics Education at TUM, which operates within the Department of Educational Sciences and collaborates with TUM Referenzgymnasien schools. His team conducts experimental research using eye-tracking labs and digital simulations for teacher training, supported by current projects including RocketTutor and SHARP.

Aleksas Mazeliauskasمشاهده پروفایل

استادیار

• Theoretical Physics
• Quantum Chromodynamics
• Heavy-Ion Collisions
• +۷ مورد دیگر

Aleksas Mazeliauskas is a theoretical physicist and Assistant Professor at Heidelberg University's Institute for Theoretical Physics. Since 2022, he has led an Emmy Noether Research Group funded by the German Research Foundation (DFG), and as of 2024, serves as a project leader at the Collaborative Research Center ISOQUANT. His research focuses on many-body phenomena in high-energy hadron collisions and ultracold quantum gases. Emmy Noether Research Group Leader (2022-present) Project Leader, CRC ISOQUANT (2024-present) Senior Research Fellow, CERN (2019-2022) Postdoctoral Researcher, Heidelberg University (2017-2019) Mazeliauskas specializes in understanding emergent collective phenomena in systems of varying sizes and energy scales, with particular interest in thermalization and hydrodynamic behavior in isolated quantum systems. His work bridges theoretical physics with experimental observations from facilities like CERN's Large Hadron Collider. By analyzing heavy-ion collisions, he investigates how quark-gluon plasma forms and thermalizes, connecting these processes to broader phenomena across physics disciplines. His publication record demonstrates consistent contributions to understanding non-equilibrium dynamics in quantum systems, with recent work focusing on QCD phase transitions, hydrodynamic attractors, and energy loss mechanisms in nuclear collisions. His research group actively contributes to advancing our understanding of fundamental particle interactions under extreme conditions. 2022-2026: Emmy Noether Programme grant from DFG 2021: FCT junior researcher position (declined) 2019: Nuclear Physics A Young Scientist Award 2017: Max Dresden Prize for outstanding theoretical thesis 2016: APS FGSA Travel Award for Excellence in Graduate Research 2013: David Fox award for outstanding Teaching Assistant Mazeliauskas actively mentors students and postdoctoral researchers while securing competitive funding for his research program. His group develops computational tools like KøMPøST and FastReso for analyzing pre-equilibrium dynamics in heavy-ion collisions. He maintains strong international collaborations, particularly with CERN and Stony Brook University. Beyond research, Mazeliauskas is committed to outreach, co-organizing Girls' Day events at Heidelberg and leading physics sections at Lithuania's National Student Academy. His laboratory work focuses on computational modeling of quark and gluon kinetic theory, with applications to both high-energy nuclear collisions and ultracold quantum gases. The group's current projects include thermalization dynamics in heavy-ion collisions (Project A01) and origins of collectivity in few-body systems (Project ABC).

• Digitalization
• Multi-Agent Systems
• Semantic Web
• +۵ مورد دیگر

Prof. Dr. Thomas Farrenkopf is a full-time Professor in the Department of Business Informatics at the Technische Hochschule Mittelhessen , serving as Dean of Studies . He leads the Business Informatics Bachelor program and specializes in digitalization, multi-agent systems, and AI-driven decision support. Expertise Areas : Industry 4.0, Smart Factory, Semantic Web, full-stack software development Contact : thomas.farrenkopf@mnd.thm.de Research Focus : His work bridges knowledge-based methods with practical applications in artificial intelligence, particularly through multi-agent systems for traffic modeling and business simulations. He developed AGADE Traffic (a knowledge-based traffic simulator) and ATHOS (a domain-specific language for multi-agent simulations), focusing on scalability and complexity reduction. Recent studies explore individual preferences' impact on traffic policies and agent-based feedback mechanisms in business contexts. Academic Contributions : With over 15 publications since 2013, his research spans agent-based modeling, semantic web applications, and smart manufacturing - notably improving throughput times in toolmaking by 90% through Industry 4.0 implementations. Teaching & Supervision : Actively supervises Bachelor's Practical Projects (BPP), providing guidance for internship-related academic work through structured evaluation processes and electronic reporting systems. Collaborations : Works with international researchers like Johannes Nguyen, Simon T. Powers, and Michael Guckert, publishing in venues such as SN Computer Science , Lecture Notes in Computer Science , and Journal of Artificial Societies and Social Simulation .

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +۳ مورد دیگر

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

• Energy Systems Modeling
• Geothermal Energy
• Optimization Algorithms
• +۳ مورد دیگر

Smajil Halilovic is a Researcher at the Chair of Renewable and Sustainable Energy Systems at the Technical University of Munich . His work focuses on energy systems modeling and optimization, particularly for geothermal and renewable energy integration. Current projects include Geo.KW , a coupled hydrothermal and infrastructure model for urban-scale geothermal use Research emphasizes optimization techniques for groundwater heat pump systems Key contributions in PDE-constrained optimization and thermal resource assessment Halilovic has published extensively in Renewable Energy and Energy Conversion and Management , with recent work on spatial optimization of geothermal systems and urban heat planning. His collaborations with Prof. Thomas Hamacher and Kai Zosseder highlight his role in advancing sustainable energy infrastructure. He teaches Mathematical Modeling of Complex Systems in the Energy Field and contributes to interdisciplinary projects like the Interdisciplinary project internship: Concept development of a renewable energy system in a developing country . His publications demonstrate expertise in geothermal integration, optimization algorithms, and urban energy modeling.

• Smart Grids
• Energy Transition
• Cybersecurity in Energy Systems
• +۵ مورد دیگر

Prof. Andreas Ulbig is a Universitätsprofessor at RWTH Aachen University's Institute of Electric Installations and Networks, Digitization and Energy Economics (IAEW), situated in Aachen, Germany. His work focuses on advancing smart grid technologies, energy transition strategies, and cybersecurity in power systems. He is affiliated with the Department of Active Energy Distribution Networks within the Faculty of Electrical Engineering and Information Technology. Ulbig's research emphasizes resilient communication protocols, grid topology identification, multi-use energy storage systems, and electrification of transportation. His contributions include co-authoring studies on adaptive protection systems, local energy markets, and cyber-physical resilience frameworks. He leads projects addressing municipal energy system transformations and grid-friendly energy sharing concepts. Ulbig holds a doctoral degree (Dr.) and has extensive experience in energy infrastructure digitization and grid stability. His recent publications span 2023–2025, focusing on technical and economic aspects of energy systems, with particular attention to cyberattack simulations, distribution grid flexibility, and hydrogen integration in gas networks. Collaborations include IEEE conferences and institutions like Westenergie AG, where he contributed to studies on grid-forming converters. His research is methodologically diverse, combining machine learning, stochastic control, and experimental validation with industry partners. In academic service, Ulbig advises on energy policy implications and co-supervises research projects at IAEW. His work bridges theoretical advancements with practical grid solutions, addressing challenges such as curative distribution measures, tariff design for local markets, and infrastructure expansion costs. Key technical interests include broadband powerline communication, digital twin applications, and optimization of DC/AC grid integration.

• Power Systems
• Renewable Energy
• Electric Vehicles
• +۲ مورد دیگر

Haitham Abu-Rub is a Professor at Texas A&M University at Qatar specializing in power systems, renewable energy integration, and power electronics. His research focuses on developing innovative solutions for grid stability, EV charging infrastructure, and intelligent control systems. He has published extensively in IEEE journals and conferences, addressing challenges in smart grids and sustainable energy systems. His work spans power converter design, fault diagnosis, and AI applications in energy management. Recent projects include decentralized PV trading systems, resilient inverter networks, and physics-informed neural networks for insulation diagnostics. Dr. Abu-Rub collaborates internationally on projects involving grid-interactive buildings, digital twins for power converters, and adaptive control techniques for electric vehicle charging.

Andreas Quednauمشاهده پروفایل

استاد

• Urban Design
• Sustainable Construction
• Public Spaces
• +۵ مورد دیگر

Andreas Quednau is a full-time university professor of urban design at Leibniz University Hannover (since 2015), affiliated with the Institute for Design and Urban Planning under the Faculty of Architecture and Landscape. His academic career includes previous roles as full professor at the State Academy of Fine Arts Stuttgart (2009–2015) and research associate at TU Berlin (2005–2009/2008–2009). He co-founded SMAQ (Sabine Müller & Andreas Quednau), an architecture and urban design practice based in Berlin since 2005. Education: Diploma in Architecture (TU Berlin), Master's with Distinction in Advanced Architectural Design (Columbia University) Professional Experience: SMAQ (2001–present), Diller Scofidio + Renfro (NYC), KCAP (Rotterdam), Arata Isozaki (Berlin) Research focuses on molecular urbanism, climate-responsive design, sustainable infrastructure, and narrative-driven urban strategies. Notable projects include the Xeritown masterplan in Dubai and the Charter of Dubai manifesto. His work explores intersections between ecology, technology, and cultural narratives in urban systems. Key awards include the Holcim Award for Sustainable Construction and Architectural Review Award for Emerging Architects. His theoretical contributions are showcased in books like Charter of Dubai (2012) and Giraffes, Telegraphes, and Hero of Alexandria (2016). Teaching and research emphasize: Integration of design, ecology, and technology Critical urban transformation in global contexts Climate-adaptive urban systems Labs/Teams: SMAQ practice integrates academic research with professional projects, focusing on urban design innovations that balance ecological imperatives with cultural narratives.

Sebastian Thieryمشاهده پروفایل

استاد

• Manufacturing Engineering
• Sheet Metal Forming
• Incremental Forming
• +۵ مورد دیگر

Sebastian Thiery serves as a Professor in Manufacturing Engineering at Leuphana University of Lüneburg, specifically holding a Ph.D. Professorship for Manufacturing – Innovative Manufacturing. His research focuses on advanced manufacturing processes with particular emphasis on sheet metal forming technologies. Thiery's primary research interests include Incremental Sheet Forming with Active Medium (IFAM) , Deep Drawing Processes , Process Control and Optimization , and the application of Artificial Neural Networks in manufacturing systems. His work bridges theoretical modeling with practical industrial applications, particularly in metal forming operations where geometrical accuracy and process robustness are critical concerns. Analysis of his publication record reveals a clear research trajectory focused on improving manufacturing processes through innovative control strategies. His recent work emphasizes the integration of machine learning techniques with traditional manufacturing processes, particularly using neural networks for friction compensation and draw-in prediction. The publications demonstrate increasing sophistication in process control methodologies, moving from basic IFAM process development to sophisticated closed-loop control systems that incorporate real-time monitoring and adaptive adjustments. Thiery actively collaborates with researchers including Mazhar Zein El Abdine, Jens Heger, and Noomane Ben Khalifa, suggesting participation in a dedicated research group or laboratory focused on advanced manufacturing processes. His work appears to be supported by research grants, including funding from the German Research Foundation (DFG) as indicated in one of his publications.

John Bulavaمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Chromodynamics
• Hadron Physics
• +۳ مورد دیگر

Prof. Dr. John Bulava is a Professor of Theoretical Hadron Physics at Ruhr University Bochum, affiliated with the Faculty of Physics and Astronomy. His research focuses on computer simulations of the strong nuclear force using lattice Quantum Chromodynamics (QCD) to study hadron properties and interactions, particularly hyperon scattering processes relevant to neutron stars. Prof. Bulava holds a B.Sc. in Physics and Mathematics from The George Washington University, an M.Sc. from Carnegie Mellon University, and a Ph.D. in Nuclear and Particle Physics from Carnegie Mellon University under Prof. Colin Morningstar. His research explores the dynamics of quarks within protons and neutrons, with special attention to how changes in fundamental constants like quark masses affect physical phenomena. Computational approaches form the cornerstone of his investigations into quantum field theories. Prof. Bulava's recent publications demonstrate consistent focus on resonance states and scattering processes in particle physics, employing lattice QCD methodologies. Key themes include baryon/meson resonances, finite-volume spectral analysis, and coupled-channel scattering studies. He has held positions at DESY (Germany), CERN (Switzerland), Trinity College Dublin (Ireland), and University of Southern Denmark before joining Ruhr University Bochum in 2023.

• Medical Didactics
• Medical Education Development
• Educational Research
• +۴ مورد دیگر

Prof. Dr. Martin Gartmeier is a full-time Professor at the TUM School of Social Sciences and Technology at the Technical University of Munich. His expertise focuses on medical didactics, teaching development, and educational research with an emphasis on clinical communication skills and teaching innovation. He leads research on simulation-based learning, bedside teaching methodologies, and medical trainee development. Research interests include: - Digital transformation in medical education - Competency assessment via video-based methods - Error learning in healthcare contexts - Professional identity formation in medical students - Flipped classroom models in clinical education Recent work explores the impact of formative experiences with death on medical trainees, the effectiveness of video-based e-learning for communication skills, and the structural analysis of bedside teaching through videographic studies. His research consistently addresses bridging theoretical knowledge with practical clinical communication competencies. Key contributions include development of the VA-MeCo video assessment framework for medical communication competence and validation studies on flipped classroom approaches. His work emphasizes translating educational research into actionable improvements for medical training programs.

• Educational Technology
• Virtual Reality in Education
• Game-Based Learning
• +۷ مورد دیگر

Morris Siu-Yung Jong is a Professor at The Chinese University of Hong Kong's Faculty of Education, Department of Educational Administration and Policy. With over 100 publications from 2006 to 2025, he has established himself as a leading researcher in educational technology, particularly focusing on innovative applications of virtual reality, artificial intelligence, and game-based learning in formal education settings. His work bridges theoretical frameworks with practical classroom implementations, making significant contributions to how technology enhances teaching and learning experiences. Professor Jong's research interests span multiple cutting-edge domains in educational technology. He has pioneered work in spherical video-based virtual reality (SVVR) applications for education, developing frameworks for immersive learning experiences that transform traditional classroom instruction. His research on AI in education, particularly examining ChatGPT's impact on student engagement and language learning, positions him at the forefront of understanding how emerging technologies reshape educational practices. Additionally, his extensive work on game-based learning, flipped classroom methodologies, and STEM education integration demonstrates a comprehensive approach to technology-enhanced learning across multiple educational contexts and age groups. Analysis of Professor Jong's recent publications reveals a clear progression from foundational work in game-based learning to more sophisticated applications of immersive technologies. His research increasingly focuses on AI integration in educational settings, with a significant portion of his 2023-2025 publications examining ChatGPT's educational applications. The methodological approaches in his work have evolved from basic implementation studies to more sophisticated designs incorporating hierarchical linear modeling, longitudinal analyses, and systematic reviews, demonstrating growing methodological rigor and impact across the educational technology field. Professor Jong has made substantial contributions to educational research through his extensive publication record in top-tier journals including Computers & Education, British Journal of Educational Technology, and Educational Technology & Society. His work has significantly influenced how educators implement virtual reality, AI, and game-based approaches in classrooms worldwide. His research on teacher concerns, implementation challenges, and pedagogical frameworks provides crucial insights for successful technology integration in formal educational settings. Through his supervision of numerous research projects and collaborations with scholars worldwide, Professor Jong has fostered a robust research ecosystem focused on advancing educational technology. His work on design-based research approaches has provided valuable methodological frameworks for studying technology implementation in authentic educational contexts. His recent focus on AI in education positions him as a key contributor to understanding how emerging technologies can be effectively integrated into teaching and learning processes. Professor Jong's research laboratory focuses on immersive learning environments, with particular emphasis on spherical video-based virtual reality applications. His team has developed several innovative frameworks for implementing VR in educational settings, addressing both technical and pedagogical challenges. Current projects appear to focus on AI integration with immersive technologies, exploring how generative AI can enhance virtual learning experiences and support student engagement across various subject areas.

• Multi-agent Systems
• Educational Technology
• Intelligent Tutoring Systems
• +۵ مورد دیگر

Demetrio Arturo Ovalle Carranza is a Professor in the Department of Computer Science at the National University of Colombia's School of Engineering. With an academic career spanning over three decades since earning his PhD from Joseph Fourier University in Grenoble, France in 1991, he has established himself as a prominent researcher in multi-agent systems and educational technology. His research focuses on developing intelligent systems for education, particularly in the areas of multi-agent architectures, adaptive learning environments, context-aware educational applications, and learning object recommendation systems. His work bridges artificial intelligence with practical educational applications, creating systems that adapt to individual learner needs and contexts. Analysis of his recent publications (2015-2020) reveals a strong trend toward developing sophisticated multi-agent systems for educational applications, with increasing emphasis on context-awareness, personalization, and adaptive learning techniques. His research demonstrates consistent evolution from foundational multi-agent work to sophisticated educational applications integrating fuzzy logic, ontologies, and collaborative filtering. Ovalle Carranza has mentored numerous researchers who have become active contributors in the field, including Oscar M. Salazar, Néstor D. Duque, Valentina Tabares Morales, and others who frequently appear as co-authors on his publications. His collaborative network extends across Colombian institutions and international research groups. His laboratory work centers around developing and testing multi-agent educational systems, with particular emphasis on creating adaptive learning environments that can respond to individual student needs and group dynamics. Current projects appear to focus on serious games, health-care applications of intelligent agents, and advanced recommendation systems for educational resources.

Benedikt Ehingerمشاهده پروفایل

استادیار

• Computational Cognitive Science
• Visual Cognitive Science
• EEG Analysis
• +۵ مورد دیگر

Benedikt Ehinger is a Tenure-Track Professor for Computational Cognitive Science at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. His research bridges cognitive neuroscience, computational modeling, and visualization techniques to understand visual perception and decision-making processes. Education 2018: PhD in Cognitive Science from University of Osnabrück with thesis "Predictions, Decisions and Learning in the visual sense" 2013: Master of Science in Cognitive Science from University of Osnabrück with thesis "Filling in Blind-Spots: A psychophysical and an EEG study" 2011: Bachelor of Science in Cognitive Science from University of Osnabrück with thesis "Electrophysiological Correlates of Category Learning" Research Interests Ehinger's research focuses on the intersection of visual cognitive science, computational modeling, and neuroimaging techniques. His work primarily investigates predictive coding mechanisms in visual perception, statistical learning in visual scenes, eye movement control, method development for combined EEG and eye-tracking analyses, visual completion phenomena like the blind spot, and category learning and neural plasticity. His approach combines behavioral experiments, EEG recordings, eye-tracking, and advanced statistical modeling to uncover the computational principles underlying human visual cognition. Publication Trends Ehinger's publication record shows a clear evolution from foundational work on visual perception and category learning toward methodological innovations in neuroimaging analysis. His early work focused on visual completion phenomena, category learning, and melanopsin modeling. More recently, he has pioneered techniques for analyzing combined EEG and eye-tracking data, developing toolboxes like "unfold" that address critical challenges in temporal overlap correction and regression-based analysis. His research demonstrates a consistent thread of applying computational approaches to understand visual cognition while simultaneously advancing the methodological toolkit of cognitive neuroscience. Scientific Contributions Development of the "unfold" toolbox for overlap correction and regression-based EEG analysis Creation of the EEGVIS toolbox for EEG visualization Establishment of comprehensive eye-tracking test batteries for validating mobile eye-tracking devices Innovative approaches to modeling fixation durations and eye movement patterns Research Environment Ehinger leads the Computational Cognitive Science group within the Institute for Visualization and Interactive Systems at the University of Stuttgart. His work is situated at the intersection of cognitive science, neuroscience, and computer science, collaborating with researchers across these disciplines. His lab utilizes behavioral experiments, EEG, eye-tracking, and computational modeling to investigate visual cognition, with emphasis on open science practices and methodological transparency.

Miriam Clincyمشاهده پروفایل

استاد

• Mathematics Education
• Physics Education
• STEM Teacher Training
• +۳ مورد دیگر

Prof. Miriam Clincy is a Professor of Mathematics, Physics, and STEM Teacher Training at Hochschule Esslingen University of Applied Sciences. She holds roles as University Representative for Higher Education and Associated Member of the Tübingen School of Education (TüSE). Her work focuses on innovative educational technologies, particularly online assessment systems like STACK in Moodle, and teacher training methodologies. Education: PhD in Physics, University of Edinburgh (2003) Physics Diploma (M.Sc. equivalent), Universität Heidelberg & University of Edinburgh (2000) Research Interests: Prof. Clincy bridges theoretical physics and STEM education. Key areas include online testing innovations, peer feedback systems, and teacher training through simulation-based assessments. She also maintains research on non-equilibrium systems from her earlier work in statistical mechanics. Publications: Recent work emphasizes educational technology (e.g., sandbox testing environments, Moodle integration) alongside foundational physics contributions in driven systems and phase transitions. Awards: Baden-Württemberg-Zertifikat für Hochschuldidaktik (2020) Advising & Grants: As Dean of Study (2019–2021), she oversaw TVET teacher training accreditation. Current projects include collaborative initiatives with the University of Tübingen and participation in the „Lehre hoch n“ network for educational innovation. Labs/Teams: Active in Hochschule Esslingen’s Basic Sciences faculty, contributing to curriculum development and assessment frameworks.