جست‌وجوی استاد و پژوهشگر

John Parschمشاهده پروفایل

استاد

• Evolutionary Genomics
• Population Genetics
• Functional Genomics
• +۳ مورد دیگر

Prof. John Parsch is a Professor in the Faculty of Biology at Ludwig Maximilian University of Munich (LMU). His research focuses on evolutionary and functional genomics, particularly the molecular basis of adaptation in Drosophila melanogaster . He explores gene expression variation, sex chromosome evolution, and regulatory element function. His work integrates genomic technologies like RNA-seq to study population-level adaptations and dosage compensation mechanisms. Prof. Parsch holds a Ph.D. in Molecular and Cell Biology from the University of Maryland (1998) and a B.A. in Biology from Washington and Jefferson College (1992). He has held postdoctoral positions at Harvard University and the University of Rochester. His research is supported by grants from the German Research Foundation (DFG) and other institutions. His research spans two major themes: (1) evolutionary genetics of gene expression, examining how regulatory changes drive adaptation in natural populations of Drosophila , and (2) the evolution and expression of sex chromosomes, including mechanisms like X-chromosome inactivation in male germlines. Recent projects include studying X-chromosome suppression and the functional impact of genetic polymorphisms on gene expression. Prof. Parsch teaches courses in evolutionary genomics, molecular evolution, and bioinformatics. He is an associate editor for Molecular Biology and Evolution and BMC Genomics , and has reviewed for numerous top journals. His lab is internationally recognized for advancing our understanding of how genetic variation underpins evolutionary adaptation.

Alexander Schmidtمشاهده پروفایل

استاد

• Algebraic Number Theory
• Arithmetic Geometry
• Class Field Theory
• +۳ مورد دیگر

Prof. Alexander Schmidt is a Professor in the Department of Mathematics at the University of Heidelberg, affiliated with the Faculty of Mathematics and Computer Science. His research focuses on algebraic number theory, arithmetic geometry, and anabelian geometry, with contributions to class field theory and étale cohomology. He leads a research group including members like Jun.-Prof. Alberto Merici and Dr. Christian Dahlhausen. His work is supported by grants such as the CRC/TRR 326 'Geometry and Arithmetic of Uniformized Structures' and the DFG Research Unit 1920. He has authored/co-authored influential books like Cohomology of Number Fields and edited Jürgen Neukirch's lectures on class field theory. His recent publications explore topics like tame homotopy groups, duality theorems, and pro-p fundamental groups. Schmidt collaborates internationally and maintains an active teaching schedule in Heidelberg. Education & Career: While specific educational details are not explicitly stated in the text, his academic trajectory is evident through his professorship and extensive research output in arithmetic geometry. His career has been centered at the University of Heidelberg since at least 1995, with notable contributions to foundational areas of number theory and geometry. Research Interests: Schmidt's work bridges algebraic geometry and number theory, emphasizing tame topology , class field theory , and profinite groups . His recent focus includes the tame site of schemes, K(π,1)-properties in arithmetic contexts, and homotopy invariance principles. These efforts aim to unify geometric and arithmetic perspectives in modern number theory. Collaborations & Grants: He participates in major research initiatives like the Collaborative Research Center TRR 326, exploring uniformized structures in geometry and arithmetic. His team's activities are documented in preprints and conference publications, reflecting a dynamic research environment. Labs/Teams: His research group comprises postdocs, PhD candidates, and visiting scholars working on topics such as étale cohomology (Dr. Tim Holzschuh), singular varieties (Dr. Marius Leonhardt), and anabelian geometry (Jun.-Prof. Alberto Merici). Collaborations span institutions globally, with frequent publications in top journals like Inventiones Mathematicae and Compositio Mathematica .

• Stochastic Analysis
• Functional Analysis
• Probability Theory
• +۴ مورد دیگر

Dr. Ivan Yaroslavtsev is a Researcher at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Informatics and Natural Sciences. His primary research focuses on stochastic analysis, functional analysis, and probability theory, with a particular emphasis on Banach spaces, martingales, and stochastic calculus. He holds a PhD in Mathematics (cum laude) from TU Delft (2019) and a Diploma in Mathematics from Lomonosov Moscow State University (2014). Yaroslavtsev's academic roles include a Postdoc position at the University of Hamburg since October 2024, preceded by a substitute professorship (April-September 2024) and prior postdoc positions at the University of Hamburg and the Max Planck Institute for Mathematics in the Sciences (MPI MiS) in Leipzig. His work bridges theoretical stochastic processes with applications in infinite-dimensional analysis and mathematical physics. His research interests span martingale theory, stochastic partial differential equations, UMD Banach spaces, and Fourier multipliers. He has contributed to foundational studies on Burkholder-Davis-Gundy inequalities, Hilbert transforms in Banach spaces, and the UMD property in Musielak–Orlicz spaces. His 2018-2019 Stieltjes Prize recognized his contributions to stochastic analysis in Banach spaces. Yaroslavtsev collaborates with institutions globally, including TU Delft and MPI MiS Leipzig, and maintains an active publication record in high-impact journals like Probability Surveys , Communications in Mathematical Physics , and International Mathematics Research Notices . His current research explores stabilization by transport noise, enhanced dissipation in fluid models, and applications of stochastic calculus in infinite dimensions. He is affiliated with the Applied Mathematics group at Hamburg and participates in interdisciplinary projects at the intersection of stochastic processes and mathematical physics. His office is located in Room 139 at Bundesstraße 55, Hamburg, and he is reachable via ivan.yaroslavtsev@uni-hamburg.de.

Mohammad Tourianمشاهده پروفایل

مدرس

• Geodesy
• Hydrology
• Remote Sensing
• +۵ مورد دیگر

Mohammad Tourian is a Lecturer and Head of the Research Group HydroGeoCoPE at the University of Stuttgart's Institute of Geodesy (Faculty 06). His work focuses on advancing satellite-based geodetic techniques for hydrological applications, particularly in monitoring water storage, river discharge, and climate-related phenomena. He leads initiatives integrating multi-satellite data (e.g., GRACE/GRACE-FO, SWOT, Sentinel-3) with numerical models to address challenges in water resource management and environmental sustainability. Research interests include satellite altimetry, data assimilation, and the application of geodetic sensors to understand global hydrological cycles. He has contributed to projects like HydroSat, STREAMRIDE, and St3TART, which aim to enhance satellite mission requirements and validation methods for inland water, cryosphere, and ocean topography observations. His team develops innovative algorithms for waveform retracking, uncertainty quantification, and integrating remote sensing with in situ measurements. Notable collaborations involve improving river discharge estimation through SWOT satellite observations and refining GRACE-derived terrestrial water storage products. His work emphasizes bridging gaps between satellite-derived Essential Climate Variables and actionable insights for policymakers and local communities.

• Algebraic Topology
• Cohomology Theory
• K-Theory
• +۳ مورد دیگر

Prof. Dr. Björn Schuster is a Professor of Mathematics at Ruhr-Universität Bochum, affiliated with the Faculty of Mathematics and the Topology research group led by Prof. Gerd Laures. His academic position is within the Department of Mathematics, specializing in advanced algebraic topology and cohomology theory. He teaches courses such as Algebraic Topology, Topology Lectures, and Analysis III, with recent semesters (2023–2025) focusing on specialized topics like cohomology of groups and geometric graph theory. His research interests include Morava K-theory, cohomology of finite groups, chromatic homotopy theory, and algebraic structures in topology. Notable contributions include studies on string bordism spectra and Mathieu groups. He has supervised numerous graduate and undergraduate theses, covering topics from graph theory to fundamental group classifications. Prof. Schuster has published extensively in prestigious journals such as Proceedings of the American Mathematical Society , Topology , and Algebraic & Geometric Topology . His work bridges abstract algebra and geometric topology, with applications to group theory and homotopy theory. He is also associated with the Floer Center of Geometry at Ruhr-Universität Bochum, contributing to collaborative research initiatives.

Mathias Schäffnerمشاهده پروفایل

استاد

• Applied Analysis
• Homogenization
• Elasticity Theory
• +۴ مورد دیگر

Dr. Mathias Schäffner holds a tenured professorial position in the Department of Mathematics at Martin-Luther-Universität Halle-Wittenberg, within the Faculty of Natural Sciences II. His research focuses on applied analysis, particularly homogenization theory, nonlinear elasticity, elliptic regularity, and stochastic processes. Prior to this, he served as a Junior Professor at TU Dortmund (2020–2022) and held postdoctoral positions at Leipzig University/MPI (2018–2020) and TU Dresden (2015–2018). He earned his PhD in Mathematics from the University of Würzburg in 2015. His work emphasizes the mathematical analysis of composite materials, stochastic homogenization, and the derivation of effective theories for heterogeneous media. Notable contributions include studies on Gamma-convergence, corrector estimates in nonlinear elasticity, and domain truncation methods for wave equations. His research bridges pure and applied mathematics, with applications in continuum mechanics and material science. Publications span topics like homogenization of random laminates, Lavrentiev gaps in vectorial functionals, and Lipschitz regularity for non-uniformly elliptic systems. Collaborators include prominent mathematicians such as Stefan Neukamm, Peter Bella, and Anja Schlömerkemper. His personal website provides further details on ongoing projects and preprints.

• Internationalization of R&D
• Technology Upgrading in Emerging Economies
• Global Value Chain Dynamics
• +۳ مورد دیگر

Björn Jindra is a part-time Leading Scientific Employee at the Chair of Economics of Innovation and Structural Change, University of Bremen, and holds a full-time Associate Professor position at Copenhagen Business School. His research focuses on international business, innovation, and development studies, particularly multinational firms' roles in emerging economies' technological development and global AI technology dynamics. He holds a PhD in Science and Technology Policy from the University of Sussex (SPRU) and a Habilitation in Economics from the University of Bremen. He has held visiting roles at the University of Reading (UK) and the Centre for Science, Technology and Innovation Indicators (South Africa). His work examines global value chains, R&D internationalization, and technology upgrading in emerging markets. He has taught courses on global value chains, innovation ecosystems, and international business environments at multiple universities. His research interests include the intersection of multinational enterprises, technology diffusion, and structural economic changes. He has contributed to understanding how firms navigate global production networks and leverage R&D strategies in competitive environments.

Sonja M. Keßlerمشاهده پروفایل

استاد

• Pharmacology
• Molecular Biology
• Liver Cancer
• +۳ مورد دیگر

Sonja M. Keßler is a Full Professor and Head of the Department of Experimental Pharmacology for Natural Sciences at Martin-Luther University Halle-Wittenberg (MLU). She obtained her pharmacy degree from the University of Greifswald (2005) and a PhD in Pharmaceutical Biology from Saarland University (2011). She held postdoctoral positions at Saarland University, the Medical University of Graz (Austria), and Université Catholique de Louvain (Belgium), focusing on gastrointestinal and metabolic liver disease pathologies. In 2012, she received the EASL Dame Sheila Sherlock Fellowship. From 2017–2018, she served as a substitute professor in Molecular and Clinical Pharmacy at the University of Erlangen/Nuremberg. Since 2019, she leads the Halle Research Center for Drug Therapy and directs research into the pathomechanisms of chronic inflammatory and malignant diseases, particularly metabolic-associated liver cancer. Her research emphasizes the role of RNA-binding proteins like IGF2BP2 in regulating metabolic transcripts and liver cancer progression. She investigates intrinsically disordered regions (IDRs) of IGF2BP2 and their phosphorylation by mTOR, linking these mechanisms to glucose and lipid metabolism dysregulation in hepatic diseases. Awards: EASL Dame Sheila Sherlock Fellowship (2012) Labs/Teams: Director of Halle Research Center for Drug Therapy

Ingo Steinwartمشاهده پروفایل

استاد

• Statistical Learning Theory
• Kernel-based learning algorithms
• Cluster Analysis
• +۶ مورد دیگر

Ingo Steinwart is a Full Professor and Head of the Institute for Stochastics and Applications at the University of Stuttgart, within the Faculty of Mathematics and Physics. He holds a Chair for Stochastics and has held academic positions since 2010, including roles at Los Alamos National Laboratory and the University of California, Santa Cruz. His research focuses on statistical learning theory, kernel-based methods, cluster analysis, and neural networks, with significant contributions to the theoretical foundations of machine learning. Education: He earned a Doctorate (Dr. rer. nat.) in Mathematics from Friedrich-Schiller University, Jena (2000) and a Diploma in Mathematics from Carl-von-Ossietzky University, Oldenburg (1997). Research Interests: Steinwart's work emphasizes rigorous mathematical analysis of learning algorithms, including kernel methods, support vector machines (SVMs), and density estimation. His research explores topics like the capacity of function classes, generalization bounds, and applications to large-scale data. Notable contributions include advancements in SVM theory, reproducing kernel Hilbert spaces, and cluster analysis techniques. Publications: His work spans foundational papers on SVMs, kernel methods, and learning theory, with a focus on theoretical guarantees and algorithmic efficiency. Recent contributions address topics like adaptive learning rates, neural network initialization, and the theoretical limits of kernel-based methods. Grants & Editorial Roles: Steinwart serves as Associate Editor for journals such as the Journal of Complexity and the Annals of Statistics. He has organized conferences like COLT and contributed to software tools like liquidSVM for SVM implementation. Labs & Software: He leads development of software packages like liquidSVM (for SVMs) and liquidCluster (for cluster analysis), emphasizing computational efficiency and automated hyperparameter selection.

Viktoriia Kornichمشاهده پروفایل

مدرس

• Theoretical Physics
• Condensed Matter Physics
• Quantum Computing
• +۵ مورد دیگر

Dr. Viktoriia Kornich is a Temporary Lecturer (Habilitandin) and Junior Group Leader at the Chair of Theoretical Physics IV, University of Würzburg, Germany. She holds a PhD from the University of Basel and has held research positions at leading institutions including the University of Luxembourg, University of Wisconsin-Madison, and Delft University of Technology. Her research focuses on non-Hermitian superconductivity, topological quantum materials, Majorana fermions, and quantum nanostructures. Key areas include Andreev bound states, PT-symmetric systems, and phonon-mediated effects in quantum devices. Her work bridges theoretical condensed matter physics with quantum computing applications. Since 2023, she leads a research group within the Collaborative Research Center (SFB) 1170, exploring frontier topics in theoretical physics. Recent publications highlight advancements in non-Hermitian superconductors, Majorana-based quantum operations, and hybrid nanostructures. Her contributions have been disseminated through high-impact journals, with a focus on experimental可观测性 of topological phases. Dr. Kornich's academic journey includes a B.S. and M.S. from Moscow Institute of Physics and Technology, followed by doctoral and postdoctoral training in Switzerland, Luxembourg, and the U.S. She is affiliated with the University of Würzburg's Physics Department, contributing to both teaching and cutting-edge research initiatives in quantum materials and theoretical physics.

Danny Nedialkovaمشاهده پروفایل

استاد

• Molecular Cell Biology
• Protein Biogenesis
• Translation Regulation
• +۳ مورد دیگر

Danny Nedialkova holds dual positions as Professor for Biochemistry of Gene Expression at Technische Universität München (TUM) and Max Planck Research Group Leader at the Max Planck Institute of Biochemistry. Her research focuses on understanding proteostasis mechanisms in metazoan cells, particularly how distinct cell proteomes are established and maintained. She employs genome-wide assays and stem cell models to investigate protein biogenesis, translation regulation, and systems biology. Key contributions include discoveries on tRNA modifications, ribosome elongation rates, and quality control systems. Education: PhD in Molecular Virology (Leiden University Medical Center, 2010), B.Sc. in Biotechnology (Università degli Studi di Perugia, 2004). Awards include the EMBO Young Investigator Award (2021) and ERC Starting Grant (2018). Funding includes grants from the European Research Council and Max Planck Society. Her lab explores cell-type specific vulnerabilities to proteome damage, leveraging CRISPRi screens and mim-tRNAseq profiling. Collaborative projects address translational control, mitochondrial DNA repair, and neuronal migration. Publicly accessible at https://www.biochem.mpg.de/nedialkova .

• Big Geospatial Data Management
• Distributed Computing
• Machine Learning
• +۴ مورد دیگر

Prof. Martin Werner is a Professor of Big Geospatial Data Management at the Technische Universität München (TUM), within the TUM School of Engineering and Design. His research focuses on distributed computing, machine learning, quantum algorithms, and geospatial data analysis. He holds a doctorate in mathematics from Ludwig Maximilian University of Munich and has held positions at institutions including the German Aerospace Center and Bundeswehr University Munich. Education: Studied mathematics at the University of Bonn (B.Sc./M.Sc.), completed a Ph.D. at Ludwig Maximilian University of Munich (2014) on indoor navigation and geometric applications. Postdoctoral and senior researcher roles at LMU Munich, University of Hanover, and others. Research interests include geospatial data processing, parallel computing, and quantum computing applications. Notable work includes the GloBiMaps probabilistic data structure and contributions to trajectory analysis and anomaly detection in industrial systems. Awards include the ACM SIGSPATIAL GIS Cup (2015) and IPIN Best Paper Award (2014). Advising and grants: Supervised research in geospatial AI, quantum computing, and environmental monitoring. Collaborates with interdisciplinary centers like the Interdisciplinary Center for Applied Machine Learning (ICAML). Labs/Teams: Involved in the ICAML and leads projects such as the AtlasHDF framework and FOREST-2 mission collaborations.

Nils Matznerمشاهده پروفایل

پژوهشگر

• Climate Engineering Governance
• Carbon Dioxide Removal (CDR)
• Stakeholder Engagement
• +۳ مورد دیگر

Nils Matzner is a Post Doc researcher at the Department of Science, Technology and Society within the TUM School of Social Sciences and Technology at the Technical University of Munich (TUM). His research focuses on governance and responsibility of emerging climate technologies, employing interdisciplinary methods including discourse analysis and network research. He holds a PhD in Science and Technology Studies from the University of Klagenfurt (2019), and has held prior positions at RWTH Aachen University (2011–2014) and the University of Klagenfurt (2014–2020), where he contributed to the German Research Foundation’s Priority Program 1689 on Climate Engineering. His work emphasizes stakeholder engagement in carbon dioxide removal (CDR) research, regional implementation of climate technologies, and the societal implications of innovations like BECCS. Current projects include leadership roles in MCTS (since 2020) and BioNET (since 2022), exploring biomass-based CDR and interdisciplinary collaboration frameworks. He has also analyzed digital cultural phenomena, including theater adaptations during the pandemic and social media strategies for literary festivals. Matzner’s publications span climate policy, technological governance, and digital culture, with a focus on bridging gaps between scientific, policy, and public spheres. His research often highlights ethical and practical challenges in scaling climate engineering solutions, advocating for anticipatory governance models that integrate diverse stakeholder perspectives.

Stefan Teufelمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Mechanics
• Adiabatic Perturbation Theory
• +۵ مورد دیگر

Prof. Stefan Teufel is a Professor in Mathematical Physics at the University of Tübingen's Department of Mathematics, within the Faculty of Mathematics and Natural Sciences. His research focuses on quantum dynamics, adiabatic theory, and topological insulators. He leads the Mathematical Physics group and contributes to collaborative research centers like CRC TR 352. Teufel has authored books on Bohmian mechanics and adiabatic perturbation theory, and his work bridges quantum mechanics with mathematical rigor. His teaching includes advanced courses on quantum theory and mathematical physics. Research Interests: Adiabatic theory, semiclassical analysis, quantum field theory, topological effects in quantum systems, and rigorous models in quantum mechanics. Publications: Over 100 peer-reviewed articles, including foundational work on adiabatic theorems, Wannier functions, and quantum waveguides. Recent focus areas include non-equilibrium states, thermalization, and spectral properties of quasicrystals. Affiliations: Editor for Documenta Mathematica and Letters in Mathematical Physics . Member of the Center for Quantum Science Tübingen. Supervises graduate students in the Graduate School 1838.

Leng Tse-Kangمشاهده پروفایل

پژوهشگر ارشد

• International Relations
• Cross-Straits Relations
• Political Economy of Globalization
• +۳ مورد دیگر

Prof. Leng Tse-Kang is a Research Fellow at the Institute of Political Science of Academia Sinica and concurrently holds a Professorship at National Chengchi University's Political Science Department in Taipei. He earned his Ph.D. in Government and Foreign Affairs from the University of Virginia (1995). Previously, he served as Chair of National Chengchi University's Political Science Department and held roles such as Section Chief of the R&D Office and Research Fellow at the Institute of International Relations there. His research focuses on international relations theory, cross-Straits political dynamics, globalization's political economy, and urban development in China. Notable works include analyses of China's centrally administered municipalities as development engines (2010), local governance dynamics during China's reform era (2010), and biodiversity governance comparisons between China and Taiwan (2006). His research also appears in journals like The China Journal and Asian Survey . Prof. Leng has held visiting positions at Leiden University's Modern East Asian Research Center and Stanford's Hoover Institution. He served as Secretary General of the Chinese Association of Political Science (CAPS Taipei). His work bridges theoretical international relations frameworks with applied studies on China's domestic and cross-strait political-economy challenges.