جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Dynamical Systems
• Control Theory
• +۴ مورد دیگر

Michael Mühlebach is a Research Group Leader at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, leading the independent Learning and Dynamical Systems group. His academic journey began at ETH Zurich where he earned his B.Sc. (2010) and M.Sc. (2013) in mechanical engineering, specializing in robotics, systems, and control. He completed his Ph.D. at ETH Zurich in 2018 under Prof. R. D'Andrea, followed by postdoctoral research at UC Berkeley with Prof. Michael I. Jordan. Dr. Mühlebach's research spans machine learning, dynamical systems, control theory, and optimization . His work bridges theoretical foundations with practical applications in robotics, developing methods that incorporate physical constraints and system dynamics into learning frameworks. His group focuses on online learning, physics-informed machine learning, and large-scale optimization for cyber-physical systems, with applications in electromagnetic navigation, robotic table tennis, and energy-efficient flight systems like the shape-changing robot Floaty . His publication record shows a strong focus on constrained optimization, with recent work exploring decision-dependent stochastic optimization, nonlinear feedback, and the theoretical foundations of reinforcement learning. His research integrates perspectives from control theory, dynamical systems, and optimization to develop algorithms with strong theoretical guarantees and practical performance. Outstanding D-MAVT Bachelor Award Willi-Studer prize for best Master's degree ETH Medal and HILTI prize for doctoral thesis Branco Weiss Fellow (2018) Emmy Noether Fellowship (2020) Amazon Fellowship (2024) Dr. Mühlebach actively mentors doctoral researchers and is seeking talented students for PhD and Master's projects. His research group has received funding from multiple prestigious fellowships and maintains collaborations across institutions including ETH Zurich, UC Berkeley, and various Max Planck research units. The group's work spans theoretical developments to practical implementations on robotic systems, demonstrating strong connections between mathematical theory and physical realization.

• Learning Analytics
• Educational Technology
• Virtual Reality Education
• +۵ مورد دیگر

Ulrik Schroeder is a Universitätsprofessor (Full Professor) at RWTH Aachen University, leading the Chair of Learning Technologies within the Faculty of Computer Science. His research focuses on the intersection of educational technology, learning analytics, and immersive technologies with particular emphasis on practical implementations in higher education settings. Professor Schroeder's research spans multiple interconnected domains in educational technology. His primary interests include Learning Analytics implementation (particularly using xAPI standards), Virtual Reality applications for education, Open Educational Resources development and conversion, and gamification approaches for programming education. He has developed several notable tools including convOERter for OER conversion, WebWriter for creating explorable explanations, and various xAPI-based learning analytics infrastructures. His work consistently bridges theoretical frameworks with practical educational applications, often focusing on computer science education contexts. Analysis of his recent publications reveals a strong trend toward integrating Learning Analytics with immersive technologies, particularly Virtual Reality environments. His research demonstrates a systematic approach to educational technology development, with emphasis on scalability, interoperability through standards like xAPI, and practical implementation in real educational settings. The work increasingly focuses on personalized learning paths, quality assurance for educational resources, and privacy-conscious data collection. Co-editor of 21. Fachtagung Bildungstechnologien (DELFI) (2023) Co-editor of Hochschuldidaktik der Informatik HDI 2018 Co-editor of DeLFI 2018 conference proceedings Professor Schroeder has supervised numerous doctoral and postdoctoral researchers who frequently appear as co-authors on his publications, indicating an active research group. His projects often involve interdisciplinary collaborations across computer science, education, and psychology. Current major initiatives include the AIStudyBuddy project for study path analysis and the development of VR classroom simulations for teacher training. His research group, the Learning Technologies Innovation Lab, develops open research tools that support various aspects of educational technology research and implementation.

• German and European Capital Markets law
• German and European Company Law
• Legal methods
• +۳ مورد دیگر

Professor Dr. Prof. h.c. Thomas M.J. Möllers holds the Chair for Civil Law, Commercial Law, European Law, International Private Law and Comparative Law at the Faculty of Law, University of Augsburg. As a full professor, he leads research and teaching in multiple legal disciplines with a particular focus on German and European financial regulation, corporate law, and legal methodology. His work bridges traditional legal scholarship with contemporary challenges posed by digitalization and globalization. Professor Möllers' research interests span German and European Capital Markets law, German and European Company Law, Legal methods, Comparative Law, European Union Law, and Competition Law. His scholarly work demonstrates exceptional breadth, connecting doctrinal legal analysis with practical applications in evolving regulatory environments. He has made significant contributions to understanding the interface between national legal systems and EU regulation, particularly in financial markets. His recent publications reveal a strong focus on capital markets regulation, particularly regarding the Wirecard scandal and auditor liability, consumer protection in e-commerce, data protection across different legal systems, and the impact of AI on legal methodology. The trajectory of his work shows increasing engagement with comparative legal analysis between European, American, and Chinese legal systems, reflecting his growing international influence. TOP 1% Most Cited Books (2019-2023) - Legal Translations in China for his 'Legal Methodology' Honorary Professor at Central South University, Changsha, Hunan (2024) Professor Möllers has mentored numerous successful legal scholars who have gone on to academic and professional careers, including Dr. Liuhua Shen (now a professor at Jiangsu University), Dr. Maximilian Merwald, and Dr. Lisa Wolf. His research is supported by various grants, including DAAD funding for US exchange programs and participation in the Jean Monnet Centre of Excellence - INspiRE on consumer protection, capital markets, and competition law enforcement. He leads the Research Center of Innovation and Legal Studies between China and Europe (RICE) and is actively involved in the Caplaw initiative, which provides resources on European and national business law. His work connects legal scholarship with practical applications through podcasts, student research showcases, and collaborative projects across multiple legal systems.

Stephanie Spahrمشاهده پروفایل

پژوهشگر

• Environmental Chemistry
• Water Quality
• Contaminant Hydrology
• +۷ مورد دیگر

Dr. Stephanie Spahr is a Research Group Leader at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) in Berlin, Germany, where she leads the Organic Contaminants research group within the Department of Ecohydrology and Biogeochemistry. Previously, she served as a Junior Research Group Leader at the University of Tübingen's Center for Applied Geoscience (2019-2021) and as a Postdoctoral Researcher at Stanford University's Department of Civil and Environmental Engineering (2016-2019). Dr. Spahr earned her PhD in Environmental Chemistry from the Swiss Federal Institute of Technology Lausanne (EPFL) and the Swiss Federal Institute of Aquatic Science and Technology (Eawag) in 2016. Her doctoral research focused on the formation of N-nitrosodimethylamine during water disinfection with chloramine. She completed her MSc in Geoecology at the University of Tübingen in 2012, with thesis work on carbon and nitrogen isotope analysis of benzotriazoles conducted at Eawag, and her BSc in Geoecology/Ecosystem Management at the same institution in 2010. Dr. Spahr's research focuses on trace organic contaminants in aquatic systems, with particular expertise in transformation processes of contaminants in natural and engineered systems, advanced oxidation processes for water treatment, urban blue-green infrastructure, and compound-specific isotope analysis. Her work bridges environmental chemistry, engineering, and ecology to address water quality challenges in urban and natural water systems. She employs advanced analytical techniques to track contaminant sources and transformation pathways, with a strong emphasis on practical applications for water treatment and environmental protection. Her recent publications demonstrate a strong focus on biochar-based water treatment technologies, particularly for stormwater management. She investigates how biochar amendments can remove trace organic contaminants from urban runoff, with recent work examining persulfate activation mechanisms, the role of chloride in reactive species formation, and the performance of engineered media filters under dynamic conditions. Her research also extends to understanding contaminant transport in rivers, the ecological impacts of pollutants, and developing analytical methods for environmental monitoring. The interdisciplinary nature of her work connects chemical processes with ecological outcomes. Outstanding Review Paper Award 2023 in Environmental Science: Water Research & Technology Selected for the Falling Walls Female Science Talents Intensive Track 2023 Selected mentee in the Leibniz Mentoring Programme 2022-2023 Best poster award (1st prize) at the Wasser 2022 of the Water Chemistry Society Selected fellow in the Postdoc Academy for Transformational Leadership 2020-2022 (Robert Bosch Stiftung) Selected fellow in the Athene Program for early female career researchers at the University of Tübingen, 2020-2021 As a Research Group Leader, Dr. Spahr supervises multiple research projects including 'POllution in UrbaN ponds, eco-evolutionary Dynamics, and Ecosystem Resilience (POUNDER)', 'Dynamic hyporheic zone', 'NYMPHE', and the 'Incident-related special investigation programme for the environmental disaster in the Oder River'. She serves on the Executive Board of the German Water Chemistry Society and heads its Expert Committee on 'Oxidative Processes'. Her collaborative work spans numerous institutions across Germany and internationally, addressing critical water quality challenges through interdisciplinary approaches. Dr. Spahr leads the Organic Contaminants research group at IGB Berlin, which focuses on understanding the fate and treatment of organic pollutants in water systems. Her team employs advanced analytical techniques including compound-specific isotope analysis to track contaminant sources and transformation pathways. The group collaborates extensively with other departments at IGB and with international partners on projects addressing urban water challenges and ecological impacts of pollution. Current research emphasizes innovative water treatment technologies, particularly biochar-based systems for stormwater management, and investigating the complex interactions between contaminants, aquatic ecosystems, and human activities.

Cora Schmidt-Ottمشاهده پروفایل

پژوهشگر

• Intellectual History
• Political History
• 20th Century History
• +۳ مورد دیگر

Cora Schmidt-Ott is a Postdoctoral Researcher at the Chair of Modern and Contemporary History (Prof. Dr. Jan Eckel) at the University of Freiburg . Her work focuses on the intellectual biography of Samuel P. Huntington and the broader intellectual history of the 20th century, particularly in relation to political stability, globalization, and the American Century. She collaborates with institutions like the German Historical Institute, Washington DC , and has led DFG-funded projects. Education: MA in Comparative Modern History (University of Freiburg & University of Bologna); BA in History and American Studies (University of Freiburg & Connecticut College) Her research explores the intersections of political theory, Cold War liberalism, and transnational historical processes, with a particular emphasis on Huntington's influence on postcolonial state-building and global order. She has contributed to debates on migration, museum narratives, and post-war societal transformations. Recent publications and lectures highlight her expertise in political history, American studies, and Cold War-era intellectual networks. She has received scholarships from the Bavaria Graduation Scholarship , Max Weber Fellowship , and Erasmus Program , among others. Scientific Awards: Bavaria Graduation Scholarship (2016) Max Weber Fellowship (2015) Erasmus Scholarship (2013) Baden-Württemberg Scholarship (2011) Cora Schmidt-Ott contributes to academic discourse through her leadership in workshops, teaching roles in seminars on decolonization and 20th-century history, and her ongoing project funded by the German Research Foundation on Samuel Huntington's intellectual legacy.

Anja Meryandiniمشاهده پروفایل

استاد

• Microbiology
• Enzyme Technology
• Probiotics
• +۴ مورد دیگر

Prof. Dr. Anja Meryandini is a Professor in the Department of Biology at IPB University (Bogor Agricultural University), Indonesia. She leads research in microbial biotechnology with a focus on enzyme technology, probiotics, prebiotics, and fermentation processes for food and agricultural applications. Her educational journey includes a Bachelor's degree in Biology from Padjadjaran University, a Master's degree in Biology from IPB University, and a PhD in Microbiology from Albert Ludwig Universitaet, Germany. This strong academic foundation has supported her extensive research career spanning over three decades. Professor Meryandini's research interests encompass: Microbial enzyme technology (protease, mannanase, xylanase) for animal feed processing Development of probiotics and prebiotics for food and animal applications Flour production using microbial technology Fermentation processes for various agricultural products Soil microbiome analysis in relation to land use changes Biodegradation of environmental pollutants Her recent publications reveal a consistent focus on lactic acid bacteria, yeast fermentation, enzyme characterization, and biodegradation processes, often utilizing Indonesian indigenous microorganisms. She has made significant contributions to understanding cocoa fermentation microbiology, tempeh processing, and agricultural waste valorization. Professor Meryandini has been actively involved in important research projects including 'Impact of rainforest transformation on phylogenetic and functional diversity of soil prokaryotic communities in Sumatra (Indonesia)' which is part of a larger CRC 990 program. Her work demonstrates strong interdisciplinary connections between microbiology, environmental science, and food technology. With over 100 publications documented from 1994 to 2024, Professor Meryandini maintains an active research program with significant contributions to microbial biotechnology in the Indonesian context and beyond.

• Computer Vision
• Artificial Intelligence
• Multimodal Learning
• +۷ مورد دیگر

Dr. Hilde Kuehne is a Professor at the University of Tuebingen and a key researcher at the Tuebingen AI Center. She holds affiliations with MIT-IBM Watson AI Lab and Goethe University Frankfurt, with a focus on computer vision, multimodal learning, and explainable AI. Her work bridges vision-language models, audio-visual alignment, and self-supervised methods. Co-organizer of the New Frontiers in Associative Memories workshop @ ICLR 2025 Member of the Scientific Advisory Board of the Carl-Zeiss-Foundation Contributor to CVPR 2025's UTD dataset for unbiased video benchmarks Her research addresses critical challenges in: Explainability for Vision Transformers (LeGrad) Fine-grained audio-visual alignment (CAV-MAE Sync) Zero-shot visual recognition automation (Meta-Prompting) Spatio-temporal grounding without annotations Recent collaborative work spans 15+ publications across CVPR, NeurIPS, ICCV, and ICLR, with emphasis on multimodal foundation models, dataset bias mitigation, and differentiable logic networks. She actively contributes to workshop organization and peer review as evidenced by her involvement in CVPR 2025 and ICLR 2025 program committees.

• Global History
• Social and Cultural Transformation
• History of Japan and East Asia
• +۳ مورد دیگر

Sebastian Conrad is a Professor of Modern History and Global History at the Friedrich Meinecke Institute, Freie Universität Berlin. He earned his academic credentials through training in German and Japanese history, later expanding into colonial/postcolonial and global history. His roles include directing the MA program 'Global History' and the graduate school 'Global Intellectual History,' alongside leading the Cluster of Excellence 'Temporal Communities.' Research focuses on global history frameworks, including colonialism, nationalism, and the Enlightenment's global dimensions. Notable works include What is Global History? (2016) and Die Königin: Nofretetes globale Karriere (2024), exploring cultural globalization and historical iconography. He has held fellowships at institutions like the Institute for Advanced Study in Berlin and has authored over 20 books and numerous articles. Advises PhD projects on topics like veterans' movements, waste moralities, and Ottoman political communities. Awards include membership in the Berlin-Brandenburg Academy and Academia Europaea. His work bridges historical scholarship with contemporary debates on memory, colonial restitution, and global interconnectedness.

Torsten Grustمشاهده پروفایل

استاد

• Database Systems
• Programming Languages
• Query Optimization
• +۶ مورد دیگر

Torsten Grust is a Professor of Computer Science at the University of Tübingen, leading the Database Systems research group since 2008. Previously, he held professorships at TU München and TU Clausthal. He earned his M.Sc. (Diploma) and Ph.D. in Computer Science from Universität Konstanz in 1994 and 1999, respectively. His research focuses on database languages, query and programming language technology, and scalable processing of non-relational queries. He bridges database and programming language research, emphasizing mutual benefits between the fields. **Education:** Ph.D. in Computer Science, University of Konstanz (1999) M.Sc. (Diploma), Computer Science, University of Konstanz (1994) Visiting Scientist, IBM Silicon Valley Laboratories (2000) **Research Interests:** Design and optimization of database languages Query compilation and execution engines Integration of functional programming with SQL Query provenance and debugging **Awards and Honors:** ACM SIGMOD Reproducibility Award (2021) University of Tübingen Teaching Award (2021/22) Winner of Dyalog 2019 APL Program Solving Competition Member of the VLDB Endowment Board of Trustees (2022–2027) **Advising & Grants:** Guided numerous students, including alumni such as Alexander Ulrich, Benjamin Dietrich, and Christian Duta Recipient of grants supporting research in query compilation, provenance analysis, and database language design **Labs & Teams:** Leads the Database Systems research group at University of Tübingen Collaborates with the National Institute of Informatics (Tokyo) on query and programming languages

• Probability
• Mathematical Physics
• Combinatorics
• +۲ مورد دیگر

Alexey Bufetov is a Professor at Leipzig University, holding an ERC Starting Grant for his research in Integrable Probability (2022-2027). Previously, he served as a W2-Professor ("Bonn Junior Fellow") at the Hausdorff Center for Mathematics (2018-2021) and as a CLE Moore Instructor at Massachusetts Institute of Technology (2015-2018). His research centers on Probability Theory , with deep connections to Mathematical Physics and Combinatorics . Key areas include integrable probability, stochastic particle systems (ASEP/TASEP), random tilings, Schur generating functions, and representation-theoretic aspects of probability. His work often bridges abstract mathematical structures with physical models from statistical mechanics. Bufetov's recent publications reveal a strong focus on integrable systems and asymptotic analysis , particularly exploring connections between Mallows measures, vertex models, and random matrix theory. His 2025 work on Aztec diamond domino tilings exemplifies his signature approach combining combinatorial structures with probabilistic methods. His primary recognition is the ERC Starting Grant "Integrable Probability" (2022-2027), supporting his cutting-edge research program. Bufetov has maintained a prolific collaborative network, frequently publishing with leading researchers including Alexei Borodin, Vadim Gorin, Leonid Petrov, and Kailun Chen. His work appears in top journals such as Advances in Mathematics , Duke Mathematical Journal , and Communications in Mathematical Physics .

• Theoretical Computer Science
• Computational Geometry
• Algorithms
• +۳ مورد دیگر

Günter Rote is a Professor in the Department of Computer Science at Freie Universität Berlin, specifically within the Theoretical Computer Science group (Arbeitsgruppe Theoretische Informatik). He holds a formal academic title of Professor Dr. and is affiliated with the Faculty of Mathematics and Computer Science. His research focuses on theoretical computer science, computational geometry, algorithms, and discrete mathematics. Key research interests include geometric algorithms, optimization problems (e.g., shortest paths, traveling salesman problems), and algorithm design for parallel computing systems. His work spans topics such as systolic arrays, convex hulls, and combinatorial optimization. Rote’s contributions include foundational studies on computational geometry problems, algorithmic complexity, and practical applications in energy equity and infrastructure design. Publications highlight contributions to solving extremal equations, polygon transformations, and the quadratic assignment problem. He has been active in academic leadership, mentoring students, and contributing to computational science communities. His email is rote@inf.fu-berlin.de, and his office is located at Takustraße 9 in Berlin.

• Market Microstructure Theory
• Digital Finance
• FinTech
• +۳ مورد دیگر

Prof. Dr. Peter Gomber is a Professor of e-Finance at the Faculty of Economics and Business Administration , Goethe University Frankfurt, since 2004. He co-chairs the Data Science Institute (efl) and holds adjunct professorships at the University of Bamberg (2004), Mannheim (2009), and Luxembourg (2018). His roles include board memberships at the Frankfurt Stock Exchange, Clearstream Banking AG, and advisory positions for European regulatory bodies. Education : Diplom-Kaufmann in Economics, University of Gießen (1999), PhD in Business Informatics. Research Interests focus on market microstructure , FinTech , electronic trading , and regulatory impacts on financial markets. His work explores algorithmic trading , liquidity dynamics , and AI-driven compliance . Publication Trends (15 most recent) emphasize digital finance , market fragmentation , regulatory analysis , and AI applications in trading and compliance. Key subfields include blockchain , high-frequency trading , and news-driven liquidity shocks . Scientific Awards : Reuters Innovation Award (2000) Hochschulpreis des Deutschen Aktieninstituts (1999) IBM SUR Grant (2007) Best Paper Awards (multiple conferences) Best Information Systems Publications Award (2020) Advising & Grants : Teaches in executive programs (Goethe Business School, Amsterdam Institute of Finance). Secured grants from public/private institutions, including a U.S. patent for market model innovation. Labs & Teams : Leads the e-Finance professorship and contributes to the Data Science Institute (efl) , fostering industry-academia collaborations with Deutsche Börse, Capveriant, and others.

Anna Maria Oberländerمشاهده پروفایل

استادیار

• Digital Transformation
• Digital Innovation
• Information Systems
• +۷ مورد دیگر

Anna Maria Oberländer is Assistant Professor for Information Systems and Digital Transformation at the University of Bayreuth's Faculty of Law and Economics. She also serves as Deputy Academic Director of the Research Center Finance & Information Management and holds a leading position at Fraunhofer FIT's Branch Business & Information Systems Engineering, where she co-heads a research group and manages the Digital Innovation Lab as one of its co-founders. Dr. Oberländer earned her Master of Science with honors from the Elite Graduate Program Finance & Information Management at the University of Technology Munich and the University of Augsburg in 2015, including a research visit at Queensland University of Technology. She was accepted into the 16th class of the Bavarian EliteAcademy, receiving leadership training across Germany, Belgium, China, and Vietnam. Prior to academia, she worked as a strategy consultant at McKinsey & Company from 2015 to 2018, supporting clients in Advanced Industries and Financial Services with digital transformations. She completed her dissertation at the University of Bayreuth's Law and Economics Faculty in 2020. Her research focuses on understanding and designing digital transformation and innovation from established companies' perspectives. She examines digital transformation processes and patterns, the relationship between organizational digital transformation and digital ecosystems, organizational ambidexterity, resource-based digital opportunities for incumbents, and the socio-technical and economic impacts of IoT and AI technologies. Her work spans theoretical frameworks like the OCO (Orientation, Cooperation, Orchestration) Theory for understanding digital ecosystems' influence on transformation. Dr. Oberländer's recent publications reveal a strong trend toward integrated digital-sustainability research (twin transformation), AI strategy and implementation, digital ecosystem dynamics, and industry-specific digital innovation. Her work bridges theoretical frameworks with practical applications across diverse sectors including public administration, manufacturing, and smart cities. She has developed capability maturity models for twin transformation and explored semantic search adoption in SMEs. Science Award 2020 from Universitätsverein Bayreuth e.V. With extensive industry experience at Siemens, Siemens Financial Services, Allianz, and McKinsey & Company, Dr. Oberländer brings practical insights to her academic work. Her Fraunhofer FIT role connects her research to real-world applications through the Digital Innovation Lab. She has led collaborative research projects across multiple industries, including the print industry's sustainability potential with AI, dairy industry digital innovation, and public administration digitalization. Dr. Oberländer co-heads a research group at Fraunhofer FIT and manages the Digital Innovation Lab, which serves as a hub for collaborative research between academia and industry. Her work with the Research Center Finance & Information Management facilitates interdisciplinary collaboration across finance and information systems domains.

• Managing discontinuous business model innovation
• Digital strategies for Industrie 4.0
• Additive Manufacturing
• +۱۱ مورد دیگر

Prof. Dr. Frank T. Piller is a University Professor and Co-Leader of the Institute for Technology and Innovation Management (TIM) at RWTH Aachen University, where he also serves as Academic Director of the Executive MBA program at RWTH Business School. He leads a research team of approximately 30 doctoral students, 5 postdocs, and over 20 student researchers within the TIME Research Area of the School of Business and Economics. His educational background includes a doctoral degree in Operations Management from the University of Würzburg (1999) and a Habilitation degree from TUM Business School (2004) on "Innovation and Value Co-Creation." Prior to joining RWTH Aachen in 2007, he was a Research Fellow at MIT Sloan School of Management and faculty at TUM Business School. Prof. Piller is recognized as one of the world's leading experts in customer-centered value creation, specializing in mass customization, personalization, and customer co-creation. His current research focuses on how established companies can transform in response to disruptive business model innovations, with particular emphasis on digital transformation (Industry 4.0), AI-augmented innovation, and sustainable business models. He is particularly known for his work on innovation ecosystems, platform-based business models, and stakeholder-oriented technology development. His recent publications demonstrate a clear trajectory toward integrating artificial intelligence with traditional innovation management frameworks, exploring how AI transforms manufacturing systems, innovation processes, and business models. His work increasingly addresses the challenges of digital transformation in established industries while maintaining focus on customer co-creation and mass customization principles. His scientific achievements have been recognized with numerous awards: Co-Creation Award of the PDMA Nomination for "Innovating Innovation" Prize by Harvard Business Review and McKinsey "Lecturer of the Year" by Executive MBA students at TU Munich RWTH Aachen Rector's Prize for Excellent Teaching (since 2010) Grant for innovative "Flipping the Classroom" teaching concept ERC Synergy Grant for SAFER Grid project (2025-2031) Prof. Piller maintains an extensive research network spanning academia and industry. He collaborates with numerous corporations including 3M, Adidas, BASF, EON, J&J, P&G, Siemens, and Vodafone, as well as many technology startups across Europe and North America. As a co-founder, supervisory board member, and investor in innovative startups, he actively transfers research into practice. His research has received significant funding, most notably the prestigious ERC Synergy Grant for the SAFER Grid project. He leads the Technology and Innovation Management Group (TIM) within the TIME Research Area at RWTH Aachen, which comprises over 100 senior and junior researchers working at the intersection of innovation, technology management, marketing, and entrepreneurship. The institute is a leading European research institution for strategic, behavioral, and computer-supported technology and innovation management.

Alexander Kollerمشاهده پروفایل

استاد

• Computational Linguistics
• Neural-Symbolic Models
• Semantic Parsing
• +۵ مورد دیگر

Professor Alexander Koller is a leading academic in Computational Linguistics at Saarland University's Department of Language Science and Technology. He holds a courtesy appointment in Computer Science and contributes to the Saarland Informatics Campus - one of Europe's premier computer science research centers. He leads the Computational Linguistics group and serves as speaker for the DFG-funded Research Training Group 'Neuroexplicit Models of Language, Vision, and Action'. PhD in Computer Science (Saarland University) Former positions: University of Potsdam, Columbia University, University of Edinburgh Sabbatical experiences: Meta AI (Paris), Allen Institute for AI (Seattle) His research focuses on computational modeling of meaning and reasoning in NLP, combining neural and symbolic approaches. Key contributions include semantic parsing systems like the AM parser and Alto, neurosymbolic models, and the GIVE Challenge for NLG evaluation. His recent work explores LLMs' limitations in problem-solving and compositional generalization. Recent publications highlight diverse applications across semantic parsing, dialogue systems, and LLM evaluation. Awards include ACL 2020 Best Theme Paper and multiple Outstanding Paper recognitions at ACL conferences. 2025 - AI Action Summit keynote speaker 2023 - ACL Outstanding Paper Awards 2022 - ELLIS Faculty appointment He maintains the DialogOS system for spoken dialogue development and teaches advanced computational linguistics topics. His group includes multiple postdocs and PhD students working across LLMs, dialogue systems, and semantic modeling.