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نمایش ۱۶-۳۰ از ۶٬۳۶۱ استاد راهنما
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دانشیار
Yin Tat Lee is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering , University of Washington, and a Senior Principal Researcher in Microsoft AI. His research spans convex optimization , convex geometry , graph algorithms , online algorithms , and differential privacy , with applications in machine learning and theoretical computer science.
Prof. Dr. Ina Christin Meier serves as Head of Department and Head of Research Unit for Functional Forest Ecology at the University of Hamburg, within the Faculty of Mathematics, Computer Science and Natural Sciences. She is affiliated with the Institute of Wood Sciences (Institut für Holzwissenschaften) in the Department of Biology, where she leads research on forest ecosystem responses to global environmental changes at Ohnhorststrasse 18, 22609 Hamburg. Dr. Meier's research focuses on the impacts of global change factors —including increasing atmospheric CO 2 concentration, summer drought, nitrogen deposition, and intensified management—on the biogeochemistry and biodiversity of temperate, boreal, Mediterranean, and global forest biomes. Her work spans functional ecology of forest trees and grasslands , interactions between roots, mycorrhizal fungi and soil , ecophysiology , and long-term changes in forest ecosystems . She has made significant contributions to understanding root carbon allocation, tropical forest responses to climate change, and the role of mycorrhizal relationships in forest ecosystems. Analysis of Dr. Meier's publication record reveals a strong emphasis on belowground ecology and global change biology , with particular attention to root systems across diverse biomes. Her research bridges plant physiology, ecosystem ecology, and climate science, often synthesizing data from multiple studies to identify broader patterns. She frequently investigates how carbon allocation to root exudates affects soil sequestration and drought response, and has developed important frameworks for understanding root trait responses to multiple global change drivers. Dr. Meier actively collaborates with international research teams across continents. Her work on Nature's Contributions to People has demonstrated that securing essential ecosystem services requires maintaining at least 20-25% semi-natural habitat in human-modified landscapes. She also investigates the chemical complexity of root exudates and their ecological significance, contributing methodological advances to this challenging area of research.
Marina Alberti is a Professor of Urban and Environmental Planning at the University of Washington, affiliated with the Department of Urban Design and Planning. She directs the Interdisciplinary Ph.D. Program in Urban Design and Planning and leads the Urban Ecology Research Laboratory. Her expertise lies in studying the interactions between urban development patterns and ecosystem dynamics, focusing on resilience, socio-ecological innovation, and biocomplexity. Her research emphasizes interdisciplinary approaches to urban ecological problems, with a strong focus on Geographic Information Systems (GIS), land cover change, and environmental performance metrics. She has developed simulation models integrating urban development and ecological processes, supported by NSF, NOAA, and Washington state grants. NSF Biocomplexity Program Grant : Developing simulation models for urban-ecological integration. Washington State Department of Transportation Grant : Remote sensing for impervious surface estimation. NOAA/Washington Department of Ecology Grant : GIS analysis of land use and shoreline habitats. Her work spans urban planning, ecological assessment, and policy-making, with a methodological emphasis on GIS, remote sensing, and land use dynamics. She has contributed extensively to journals like International Regional Science Review , Urban Ecosystems , and BioScience , addressing topics such as urban gradients, biodiversity, and environmental sustainability. Alberti's teaching includes Urban Ecology, Environmental Planning, GIS, and advanced research design, reflecting her commitment to training the next generation of urban ecologists.
Prof. Dr.-Ing. Rüdiger Daub serves as Professor and Chair of Production Engineering and Energy Storage Systems at the Technical University of Munich (TUM), operating within the Department of Mechanical Engineering. His leadership encompasses research direction, academic supervision, and strategic development of battery production technologies at TUM's Garching campus (Boltzmannstr. 15), with active industry collaborations driving innovation in sustainable manufacturing. Daub's research program pioneers advanced production methodologies for lithium-ion and solid-state batteries, focusing on electrode manufacturing, electrolyte filling, and cell assembly processes. His work investigates critical parameter interdependencies affecting battery safety and performance, developing inline monitoring systems and digital twin technologies for real-time process optimization. Key contributions include moisture control in electrode production, electrochemo-mechanical characterization of solid-state systems, and robotics solutions for deformable object assembly, all integrated with machine learning for quality assurance in industrial settings. Analysis of his 2023-2025 publications reveals a dominant research trajectory toward solving production bottlenecks in next-generation energy storage. The work demonstrates increasing integration of computational modeling with empirical validation, particularly in solid-state battery manufacturing and high-voltage electrolyte systems. A notable trend is the cross-pollination of robotics, computer vision, and uncertainty quantification techniques to address complex assembly challenges and distribution shifts in quality monitoring, reflecting industry's urgent need for adaptable, data-driven production systems. Leading TUM's specialized laboratories for battery cell production, Daub's team maintains comprehensive facilities for electrode calendering, electrolyte filling, and cell assembly with integrated tracking and tracing capabilities. The research infrastructure supports collaborative projects with automotive OEMs and battery manufacturers to develop scalable production processes, emphasizing environmental sustainability through water-based electrode production and footprint optimization. Current initiatives focus on digital factory modeling and prelithiation technologies for next-generation battery systems.
Prof. Karen Alim is a Professor of Biological Physics and Morphogenesis at the Department of Physics, Technische Universität München (TUM), affiliated with the TUM School of Natural Sciences. She holds a PhD from the Ludwig-Maximilians-Universität München (2010) and conducted postdoctoral research at Harvard University (2010–2015) before leading a Max Planck Research Group in Göttingen. Her research focuses on non-neuronal information processing in living systems, particularly using Physarum polycephalum to study physical principles of network adaptation, fluid dynamics, and morphogenesis. Education: PhD in Physics, Ludwig-Maximilians-Universität München (2010) Studies at Universität Karlsruhe, LMU München, and University of Manchester Research Interests: Prof. Alim explores how biological systems process information without neurons, emphasizing adaptive flow networks, mechanical signaling in plants, and collective behavior in active matter. Her work combines theoretical modeling with experimental systems like slime molds and plant tissues. Awards: ERC Starting Grant (2020) Elisabeth-Schiemann-Kolleg Fellowship (2013–2018) DAAD Stipendium (2011–2014) John Birks Award (2004) Advising & Grants: While specific grant details beyond the ERC award are not listed, her research has been supported by major funding bodies. No student advisees are explicitly listed in the provided materials. Labs/Teams: Leads the Biological Physics and Morphogenesis group at TUM, focusing on interdisciplinary studies of living systems' physical principles.
Prof. Dr. Frank Pollmann is a Full Professor (W3) at the Department of Physics PH-I, Technical University of Munich (TUM), leading the Chair of Theoretical Solid-State Physics since 2022. His research focuses on condensed matter theory and quantum information concepts , particularly in systems of correlated electrons and quantum many-body dynamics . PhD: Max Planck Institute for the Physics of Complex Systems / TU Ilmenau (2006) Postdoc: UC Berkeley (2008-2010) Group Leader: MPIPKS Dresden (2011-2016) Associate Professor: TUM (2017-2022) His work spans topological phases , frustrated spin systems , and non-equilibrium quantum dynamics , utilizing tensor network methods and quantum information theory to study phenomena like many-body localization and Hilbert space fragmentation . His publications demonstrate trends in quantum scar states , Kardar-Parisi-Zhang hydrodynamics , and quantum transport anomalies . Scientific Awards : ERC Consolidator Grant (2017) Walter Schottky Prize (2015) Otto-Hahn Medal (2007) He teaches courses including Advanced Methods in Quantum Many-Body Theory , Solid State Theory , and Topology in Condensed Matter , while leading the Pollmann Group under the TUM School of Natural Sciences.
Prof. Dr. Philipp Heretsch is a Professor and Executive Director at the Institute of Organic Chemistry, Faculty of Natural Sciences, Leibniz University Hannover. He leads the Natural Product Synthesis research group and holds key roles in academic governance, including Deputy Coordinator for Exchange Programmes and representation on various examination and curriculum boards. Research Interests: His research focuses on the synthesis of complex natural products, particularly terpenes and alkaloids, using biosynthesis-inspired strategies. He develops novel carbon–carbon bond manipulation techniques and rearrangement cascades. A significant emphasis is placed on the biological activity of synthesized compounds. He also pioneers the development of continuous flow reactor systems for the selective transformation of sensitive and short-lived chemical species. Publication Trends: His recent publications (2020–2025) demonstrate a strong focus on biogenesis-inspired total synthesis of highly complex natural products (e.g., canataxpropellane, swinhoeisterol), the application of radical-polar crossover and rearrangement strategies, and the innovative use of flow chemistry for scalable and efficient synthesis of both natural products and functional molecules like odorants and ferrocenyl compounds. Scientific Awards: ADUC Prize of the GDCh (2018) DECHEMA Young Scientist Prize for Natural Product Research (2020) ORCHEM Prize for Young Scientists of the Liebig Association for Organic Chemistry of the GDCh Advising and Grants: While specific students are not listed, he leads an active research group. His work is supported by significant external funding, including an ERC Consolidator Grant for the project "RadCrossSyn" and support from the DFG Heisenberg Program, which facilitated his move to Leibniz University Hannover in 2021. Labs and Teams: He heads the Natural Product Synthesis research group at the Institute of Organic Chemistry, Leibniz University Hannover. His research group, often referred to as the "Heretsch group," is dedicated to developing novel synthetic methodologies and applying them to the synthesis of biologically relevant natural products.
Teruko Mitamura is a prominent researcher at Carnegie Mellon University with over three decades of contributions to natural language processing, computational linguistics, and artificial intelligence. Her work spans from foundational research in event representation to advanced applications in multimodal systems and question answering. Her research interests focus on event detection and understanding, question answering systems, information retrieval, and multimodal processing. She has made significant contributions to event coreference resolution, timeline construction, and cross-document event analysis, developing methodologies that have become standard in the field. Her work often bridges theoretical advances with practical applications, particularly in complex information environments requiring deep semantic understanding. Natural Language Processing : Specializing in event extraction, coreference resolution, and narrative understanding with over 179 publications Question Answering Systems : Developing advanced techniques for complex question answering, particularly through NTCIR QA Lab and PoliInfo tasks Multimodal Processing : Integrating textual, visual, and temporal information for richer understanding in systems like ProMQA Evaluation Methodologies : Creating robust frameworks for assessing NLP systems through TAC KBP Event Tracks Her recent publication trends show a strong focus on leveraging large language models for event understanding, multimodal question answering, and timeline construction. She has expanded her research into specialized domains including patent analysis and novelty examination, demonstrating the breadth of her research impact across academic and practical applications. Active participant in major NLP conferences including ACL, EMNLP, NAACL, and AAAI with consistent publications Long-standing collaborator with researchers at CMU's Language Technologies Institute including Eduard H. Hovy and Eric Nyberg Contributor to shared tasks that have shaped research directions in event processing and question answering Organizer of multiple NTCIR QA Lab tasks focused on political information question answering Dr. Mitamura has mentored numerous researchers who have gone on to make their own contributions to the field, as evidenced by her extensive co-authorship network and the progression of her former students and collaborators into faculty and research positions. Her work continues to evolve with the field while maintaining her focus on deep semantic understanding of events and narratives.
دانشیار
Lars Rohwedder is an Associate Professor in the Algorithms Group at the University of Southern Denmark (SDU) in Odense. He previously held positions as an Assistant Professor at Maastricht University (Netherlands) and postdoc researcher at EPFL, Lausanne (Switzerland). He earned his Ph.D. in Computer Science from CAU Kiel (Germany), advised by Klaus Jansen, and is a recipient of the 2019 PhD of the year award from Förderverein der TF of Kiel University. His research focuses on algorithms for combinatorial optimization, including approximation algorithms, online algorithms, parameterized algorithms, and integer programming. He has contributed to solving scheduling problems, resource allocation, and optimization under uncertainty. Rohwedder has served on program committees for conferences like MAPSP, SODA, STACS, and ICALP. He is funded by NWO's Open Competition M1 project on quasi-polynomial time algorithms. His teaching includes courses on advanced algorithms, operations management, and optimization at SDU and Maastricht University. Key achievements include a quasi-polynomial approximation for the restricted assignment problem, FPT algorithms for scheduling, and contributions to the Submodular Santa Claus problem. His work bridges theoretical foundations and practical applications, with a focus on algorithmic efficiency and robustness.
Prof. Dr. Barbara Kraus is the Chair of Quantum Algorithms and Applications at the Technical University of Munich (TUM), affiliated with the TUM School of Natural Sciences. She previously held academic positions at the University of Innsbruck, where she founded her research group in 2010. Education : Physics and Mathematics at the University of Innsbruck; Post-doctoral work at MPI for Quantum Optics and University of Geneva. Her research focuses on foundational problems in quantum information theory, particularly entanglement in multipartite systems, quantum simulation, and verification of quantum processors. She develops theoretical tools for quantum many-body systems and explores applications in quantum computing, emphasizing error characterization and experimental validation. Recent publications highlight advancements in Hamiltonian learning, symmetry-resolved entanglement detection, and multipartite state transformations. Her work bridges theoretical quantum physics with practical implementations, including Rydberg platforms and quantum metrology. Key Awards : START Prize (2010), Ignaz L. Lieben Award (2013), Boltzmann Prize (2011), Südtiroler Sparkasse Research Prize (2019). She supervises doctoral students and postdocs in quantum information theory, with a focus on stabilizer states, quantum networks, and entanglement measures. Her courses at TUM include Quantum Information , Quantum Algorithms , and workshops on entanglement manipulation.
پژوهشگر
Dr. Fabian Schulz is a Senior Researcher in Ancient History at the University of Tübingen, where he works in the Department of History within the Faculty of Humanities. He leads a prestigious Junior Research Group under the Emmy Noether Programme of the German Research Foundation (DFG), titled 'Power and Influence: Influencing Emperors between Antiquity and the Middle Ages.' His academic profile also includes association with the Collaborative Research Center (SFB) 923 'Threatened Order - Societies under Stress' and active participation in the 'Tübingen Theosophy' research group. Previously, he contributed to the Heidelberg Academy of Sciences and Humanities project on John Malalas' Chronicle and the University of Tübingen's DFG project 'East and West 400-600 AD.' Dr. Schulz earned his PhD in Classics from Freie Universität Berlin (2006-2010), where he also served as a teaching assistant. During his doctoral studies, he was a Pensionnaire étranger at the École Normale Supérieure Paris. Prior to that, he completed an MA equivalent degree in Classics at Freie Universität Berlin, with time spent as a visiting student at the University of Oxford (1999-2005). His early career included teaching Latin and Greek at a grammar school in Lübeck (2006). His research specializes in power structures and influence mechanisms in ancient societies, with particular focus on how advisors shaped imperial decisions in Late Antiquity. He has made significant contributions to understanding councils of elders in Archaic Greece (especially the Spartan Gerousie), Byzantine chronography (particularly John Malalas' works), and the complex dynamics between Eastern and Western Roman empires during the 5th and 6th centuries. His methodological innovation lies in applying modern sociological models of interpersonal influence to historical analysis of ancient political culture, bridging literary representation with political reality in pre-modern monarchical states. Young researchers award for 'Ratgeber, Experten, Manipulatoren: Einfluss als Machtfaktor und Diskursobjekt in der Antike' As principal investigator of his Emmy Noether project, Dr. Schulz has secured substantial research funding from the German Research Foundation. His collaborative work includes multiple edited volumes on Late Antique history and Byzantine chronography, reflecting his strong international scholarly network. He currently serves as a deputizing member (non-professorial academic staff) on the faculty board of Humanities at the University of Tübingen. His research often intersects with contemporary concerns about power dynamics, political influence, and historical memory, as evidenced by his work on video game representations of ancient history. Dr. Schulz is an active contributor to the online commentary project on John Malalas' chronicle, specifically editing sections of Book XVIII. His work frequently involves detailed textual criticism and analysis of historical sources, with particular attention to how narratives are transmitted and reinterpreted across different cultural contexts. His scholarly approach combines philological precision with broader historical and sociological perspectives.
Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788
Prof. Igors Gorbovickis is an Associate Professor of Mathematics at the Department of Mathematics, School of Computer Science and Engineering, Constructor University (formerly Jacobs University Bremen). His research focuses on complex dynamical systems, including topics such as renormalization theory, bifurcation analysis, Julia sets, and applications to mathematical physics. He also contributes to discrete geometry, particularly exploring conjectures like the Kneser-Poulsen problem. His work bridges pure mathematics with interdisciplinary applications, emphasizing rigorous analysis of nonlinear systems and geometric configurations. Key areas of investigation include critical point accumulations, Hausdorff dimension estimates, and equidistribution phenomena in parameter spaces. Recent publications highlight advancements in understanding chaotic systems, circle maps, and the interplay between algebraic structures and dynamical behavior. Prof. Gorbovickis collaborates internationally, with co-authored papers appearing in journals like Advances in Mathematics , Ergodic Theory and Dynamical Systems , and Nonlinearity . His office is located at Research I, Room 128 on the Constructor University campus in Bremen, Germany.
Peter Benner is a Professor and Director at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, where he leads the Computational Methods in Systems and Control Theory group. He also holds an Honorarprofessor position for Mathematics at Otto-von-Guericke Universität Magdeburg since 2011. Benner has previously served as Managing Director of the Max Planck Institute during multiple periods (2013-2014, 2021-2022, and 2025-2026), demonstrating his leadership in the field. Benner's research focuses on Scientific Machine Learning, Numerical Linear and Multilinear Algebra, Model Order Reduction and Reduced-order Modeling, Numerical Methods in Systems and Control Theory, PDE Constrained Optimization, High-performance and Power-aware Computing, and Mathematical Software development. His work bridges theoretical mathematics with practical engineering applications, particularly addressing challenges in large-scale dynamical systems. Analysis of his recent publications reveals a strong emphasis on developing efficient computational methods for complex systems. Benner has pioneered approaches combining model order reduction with tensor methods to tackle high-dimensional problems in uncertainty quantification and PDE-constrained optimization. His work shows a consistent trend toward integrating data-driven techniques with traditional model-based approaches, particularly for nonlinear and parametric systems. Throughout his career, Benner has actively mentored students and collaborated with researchers worldwide, delivering numerous invited talks at prestigious institutions and conferences across Europe, North America, and Asia. His research has received significant funding, supporting the development of mathematical software and computational methods for industrial applications. Benner leads the Computational Methods in Systems and Control Theory department at the Max Planck Institute, which focuses on developing and implementing advanced numerical methods for large-scale dynamical systems. The group maintains strong connections with both theoretical mathematics and practical engineering applications, particularly in fluid dynamics, energy systems, and control theory.
Prof. Dr. Markus Zimmermann leads the Chair of Product Development and Lightweight Design at the Technical University of Munich (TUM). With a background in mechanical engineering from TU Berlin and the University of Michigan, and a doctorate from MIT on solid-state singularities, he bridges academic rigor with industrial application. His career spans 12 years at BMW focusing on vehicle development before transitioning to academia. Specializes in solution space engineering for robust design Expert in additive manufacturing and systems engineering Develops methodologies for managing design complexity and uncertainty His research focuses on multidisciplinary design optimization and lightweight structures , particularly in robotics and automotive systems . His team applies digital twin frameworks and attribute dependency graphs to enhance design processes. Recent publications emphasize topology optimization in robotic systems and thermal management for medical X-ray sources. Key trends in his 2024-2025 publications include: Topological optimization for additive manufacturing and robotics Application of solution spaces to manage design uncertainty Development of compact X-ray systems for medical therapy Integration of digital twin technologies in industrial contexts
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