جست‌وجوی استاد و پژوهشگر

• Plant-Insect Interactions
• Plant Chemical Defense Mechanisms
• Chemical Ecology
• +۶ مورد دیگر

Georg Jander is an Adjunct Professor in the Section of Plant Biology at Cornell University's School of Integrative Plant Science , while serving as a lead scientist at the Boyce Thompson Institute (BTI). His research focuses on plant-insect interactions , chemical defense mechanisms , and genetic basis of herbivore resistance in economically important species like maize, Arabidopsis, and milkweeds. Affiliation: Cornell University, Boyce Thompson Institute (BTI) Key Research Areas: Plant defense metabolites, RNA interference for pest control, cardiac glycoside biosynthesis Research Highlights: The Jander lab combines genetic mapping , mass spectrometry , and enzyme assays to discover novel plant defense compounds and their biosynthetic pathways. They investigate how insects suppress plant defenses and develop CRISPR-based agricultural innovations for pest control, including the DARPA-funded VIPER project using insects as plant enhancement vectors. Scientific Impact: Recognized as an AAAS Fellow (2012), his work appears in top journals like Current Biology and Plant Cell. His team has received multiple grants including an NSF EDGE award for milkweed genomic tools and a $25M NSF CROPPS center for programmable plant systems. Lab Members: Kevin Ahern, Azam Noori, Alison Norton, and numerous interns Grants: NSF EDGE, DARPA Insect Allies, Schmittau-Novak Grants Program Infrastructure: Equipped with advanced high-resolution mass spectrometers , his lab investigates plant metabolomics and insect counter-adaptations. Their research on cardiac glycoside pathways in wallflowers and milkweeds has potential applications in both agriculture and pharmaceutical development.

Sven Klimpelمشاهده پروفایل

استاد

• Parasitology
• Zoophysiology
• Ecological Parasitology
• +۵ مورد دیگر

Prof. Dr. Sven Klimpel leads the Integrative Parasitology and Zoophysiology (IPZ) department at the Institute of Ecology, Evolution and Diversity, Goethe University Frankfurt am Main. His research focuses on medically relevant parasites, pathogens, and vectors, examining their ecology, evolution, transmission mechanisms, and impacts on human/animal health under climate change scenarios. Research Areas: Population dynamics and phylogeography of parasites Niche modeling and climate change effects Host-parasite interactions and pathogenicity factors Vector biology (e.g., mosquitoes, ticks) Molecular taxonomy and metagenomics Team: PD Dr. Elke Schleucher (Senior Scientist) Dr. Sarah Cunze (Project Manager) Dr. Dorian D. Dörge (Senior Scientist & Project Coordinator ZOWIAC) PhD candidates: Chinhda Sharif (Vector Biology), Anna Viktoria Schantz (Invasive Carnivores), Ajdin Skaljic (Citizen Science in Ecology) Education & Teaching: Offers courses on ecological parasitology, animal physiology, and biodiversity impacts. Module details include field excursions and English/German bilingual instruction.

• Algebraic Combinatorics
• Enumerative Combinatorics
• Geometric Combinatorics
• +۷ مورد دیگر

Christian Stump is a Professor for Algebraic Combinatorics at the Ruhr-Universität Bochum since 2018 and coordinator of the DFG priority program Combinatorial Synergies . His research focuses on algebraic and geometric combinatorics , particularly in Coxeter groups, cluster algebras, noncrossing partitions, and hyperplane arrangements. He leads the Research Team Stump and collaborates with institutions like Goethe-Universität Frankfurt and Universitat de Barcelona. Research interests: Algebraic Combinatorics, Cluster Algebras, Coxeter Groups, Subword Complexes, Noncrossing Partitions Current projects: Machine learning combinatorial statistics, Combinatorial Polytope Theory His recent work includes studies on non-crossing partitions , Hodge filtrations for reflection groups, and central limit theorems for permutation statistics. He has supervised PhD students in topics ranging from brick polyhedra to matroid complexes and contributed to computational tools like the FindStat database and SageMath . Scientific Awards : DFG Heisenberg Fellowship (2017-2018) Humboldt Research Award (2023) Simons Fellowship (2023) As a principal investigator , he has secured over €1.2 million in DFG grants, including leadership of the project "Combinatorial Polytope Theory" (2024) and coordination of the SPP2458 program. He actively contributes to editorial boards of Electronic Journal of Combinatorics and Combinatorial Theory , and organizes conferences like Formal Power Series and Algebraic Combinatorics (FPSAC) .

• Algebraic Combinatorics
• Non-crossing Partitions
• Subword Complexes
• +۵ مورد دیگر

Prof. Dr. Christian Stump holds the W2-Professorship for Algebraic Combinatorics at the Faculty of Mathematics, Ruhr-Universität Bochum . He coordinates the DFG Priority Program Combinatorial Synergies and actively engages in interdisciplinary research at the intersection of combinatorics, algebra, and geometry. His team includes Jun.-Prof. Dr. Marie Brandenburg PhD students Elena Hoster, Nupur Jain, and Federico Lazzeri Former members Research Interests span algebraic combinatorics , cluster algebras , non-crossing partitions , subword complexes , and machine learning applications in mathematics . His work explores the deep connections between combinatorial structures and algebraic geometry, particularly through reflection groups and Catalan theory. Scientific Trends from his recent articles include Non-crossing and m-divisible partition analysis Hyperplane arrangement topology Matroid theory and lattice paths AI-assisted mathematical discovery Combinatorial geometry of polyhedra and complexes Scientific Awards include DFG Heisenberg Fellowship (2017-18) CRM-ISM Fellowship (2009-11) Grants & Projects highlight PI for DFG Priority Program Combinatorial Synergies (€473,360) Heisenberg Fellowship project on Noncrossing phenomena (€585,300) DFG Research Grant for Coxeter-Catalan Combinatorics (€324,900) Labs & Collaborations include the Combinatorial Synergies program, the FindStat.org combinatorial statistics database, and collaborations with institutions in Frankfurt, Barcelona, and Berlin.

Kirill Melnikovمشاهده پروفایل

استاد

• Higgs boson physics
• physics of vector bosons
• top quark physics
• +۵ مورد دیگر

Professor Kirill Melnikov is the Director of the Institute for Theoretical Particle Physics (TTP) at Karlsruhe Institute of Technology (KIT), Germany, where he has been affiliated since May 2014. Prior to this, he held positions as an Associate Professor (with tenure) at the Department of Physics and Astronomy, Johns Hopkins University, USA; a research associate at the Institute for Theoretical Physics of Elementary Particles, Karlsruhe University; a research associate at the Particle Theory Group of Stanford Linear Accelerator Center (SLAC); and an assistant professor at the Department of Physics and Astronomy, University of Hawaii at Manoa. His research focuses on theoretical high-energy physics, including Higgs boson physics, vector boson physics, top quark physics, subtraction schemes for fully differential NNLO computations, multi-loop computation methods, and scattering amplitudes. He has contributed extensively to developing theoretical tools for describing high-energy processes at the Large Hadron Collider (LHC) and has supervised Bachelor and Master thesis students, though specific names are not listed in the provided text. The TTP research group, under his leadership, engages in projects related to particle physics phenomenology and advanced computational techniques.

Ostap Okhrinمشاهده پروفایل

استاد

• Econometrics
• Statistics
• Transportation Systems
• +۴ مورد دیگر

Ostap Okhrin serves as a Professor of Econometrics and Statistics at Dresden University of Technology, holding the Chair of Econometrics and Statistics with a special emphasis on Transportation Systems. His academic career is marked by a strong focus on methodological advancements in econometrics and statistics, applied to complex real-world problems in transportation and finance. Professor Okhrin's research interests span econometrics, statistical theory, copula modeling, time series analysis, and financial risk management. He has significantly expanded into machine learning and reinforcement learning applications for autonomous systems, with deep expertise in traffic flow modeling, autonomous driving, maritime navigation, and financial volatility estimation. His work bridges theoretical statistics with practical engineering challenges, particularly in transportation systems and risk forecasting, addressing high-dimensional data and dynamic environments through innovative methodological frameworks. Analysis of Okhrin's recent publications (2024-2025) reveals a pronounced interdisciplinary trajectory integrating reinforcement learning with transportation engineering. Key themes include drone-based trajectory data collection for traffic monitoring, algorithms for autonomous ships on inland waterways, and Sim2Real transfer frameworks for autonomous driving. Concurrently, he advances financial econometrics through high-frequency risk forecasting models incorporating realized moments. This dual focus demonstrates his ability to transfer statistical innovations across domains while maintaining rigorous theoretical foundations in copula theory and time series analysis.

Artem Semenovمشاهده پروفایل

پژوهشگر

• Materials Science
• Mechanical Engineering
• Solid Mechanics
• +۴ مورد دیگر

Artem Semenov is a researcher at the Chair for Mechanics of Multifunctional Structures within the Faculty of Mechanical Science and Engineering at Dresden University of Technology (Technische Universität Dresden). His work focuses on computational modeling of material behavior, particularly in ferroelectric ceramics, plasticity, and fracture mechanics. Research Interests: Modeling of Material Behavior of Ferroelectric Ceramics, Theory of Plasticity, Linear and Nonlinear Fracture Mechanics. Teaching: Conducts exercise courses in Technical Mechanics. His research spans electromechanical coupling phenomena and nonlinear material modeling, with applications in advanced ceramics and metallic composites. Publications in journals like the Journal of Materials Science and International Journal for Numerical Methods in Engineering highlight his interdisciplinary approach combining mechanics and computational methods. Collaborations with experts such as Herbert Balke, Thomas Wallmersperger, and Leonid Getsov underscore his role in advancing numerical techniques for material deformation and creep analysis. The Chair for Mechanics of Multifunctional Structures provides institutional context for his work on multifunctional materials.

Andre Borrmannمشاهده پروفایل

استاد

• Building Information Modeling
• Point Cloud Engineering
• Digital Twin
• +۴ مورد دیگر

Andre Borrmann is Professor and Chair of Computing in Civil and Building Engineering at the Technical University of Munich (TUM), where he leads cutting-edge research at the intersection of computer science and construction engineering. His work spans over two decades with consistent publication output since 2003, demonstrating sustained academic leadership in computational methods for the built environment. His research focuses on: Building Information Modeling (BIM) and its advanced applications Digital Twin development for infrastructure management Point cloud processing and semantic enrichment Artificial intelligence integration in construction workflows Construction automation and robotics systems Analysis of his 2023-2025 publications shows a clear trend toward sophisticated AI applications in construction engineering, with increasing emphasis on graph neural networks, transformer models, and large language models. His work bridges theoretical computer science with practical construction challenges, particularly in model automation, code compliance checking, and digital documentation of existing structures. Scientific recognition includes: Konrad Zuse Medal (2024) Professor Borrmann leads multiple significant research initiatives including AM2PM (Additive to Predictive Manufacturing for Multistorey Construction), AI4CADCAM (AI-based CAD processing), and BauPuls360 (a public service platform for the construction industry). His research group maintains extensive international collaborations across academia and industry, contributing to UN Sustainable Development Goals related to sustainable cities, industry innovation, and climate action through their technological advancements in construction engineering.

Barbara Kohnمشاهده پروفایل

استاد

• Infectious Diseases
• Antibiotic Stewardship
• Clinical Immunology
• +۳ مورد دیگر

Barbara Kohn is a Professor at the Department of Veterinary Medicine , Free University of Berlin, where she serves as Managing Director and Head of the Department of Internal Medicine at the Small Animal and Pet Clinic Berlin. Her work focuses on clinical research and patient care in small animal veterinary medicine. Key research areas include: Infectious diseases in dogs and cats, particularly vector-borne illnesses and Angiostrongylus infections Antibiotic Stewardship and Blood Culture Management for SIRS/sepsis cases Clinical Immunology (immune-mediated hemolytic anemia, thrombocytopenia, polyarthritis) Transfusion medicine and dermatological issues in companion animals Management of intoxications She collaborates extensively with institutions within the Free University of Berlin, national entities like the Friedrich Loeffler Institute, and international partners such as Texas A&M University and Hebrew University of Jerusalem. Her professional certifications include specialist veterinarian qualifications in small animals and internal medicine.

Kai Chengمشاهده پروفایل

پژوهشگر ارشد

• Stochastic dynamics
• Surrogate models
• Machine learning
• +۴ مورد دیگر

Kai Cheng is a Humboldt Research Fellow at the Engineering Risk Analysis Group, Technical University of Munich (TUM), since November 2023. His work focuses on developing computational methods for reliability assessment and uncertainty quantification in engineering systems. Education: Ph.D. in Flight Vehicle Design, Northwestern Polytechnical University (2018–2021) M.Sc. in Flight Vehicle Design, Northwestern Polytechnical University (2015–2018) B.Sc. in Mechanics, China University of Petroleum (East China) (2011–2015) Research Interests: Dr. Cheng's research integrates stochastic dynamics, machine learning, and model reduction techniques to address challenges in reliability analysis. Key areas include surrogate modeling for high-dimensional systems, rare event probability estimation, and adaptive algorithms for uncertainty quantification in mechanical and structural applications. Publication Trends: His recent articles emphasize machine learning-enhanced reliability methods, including gradient-based Kriging, Bayesian regression, and Monte Carlo variants. Dominant themes are computational efficiency in high-dimensional problems and adaptive algorithms for structural safety. Awards: Humboldt Research Fellowship (2023–present) Teaching: At TUM, he assists in graduate courses on Stochastic Finite Element Methods and Estimation of Rare Events and Failure Probabilities . Team Affiliation: He collaborates with the Engineering Risk Analysis Group at TUM, which specializes in probabilistic risk assessment for infrastructure and dynamical systems.

• Renewable Energy
• Energy Economics
• Agent-Based Modeling
• +۲ مورد دیگر

Prof. Dr. Marc Deissenroth-Uhrig is a Professor at htw saar (Saarland University of Applied Sciences), specializing in renewable energy systems. He teaches courses in Renewable Energies Wind Energy and Photovoltaics Energy Economics Electrical Engineering fundamentals with a focus on practical experiments in PV and wind technology. His research spans renewable energy market integration, agent-based modeling of energy systems, and fundamental physics experiments in neutron decay. Key publications include analyses of policy interactions, investment behaviors in renewables, and studies on neutrino/proton asymmetry parameters. He leads the Laboratory for Solar Energy Systems Laboratory for Wind Energy Technology at htw saar, and has collaborated with institutions like the German Aerospace Center (DLR) and University of Heidelberg.

Ralf Gerkmannمشاهده پروفایل

مدرس

• Algebra
• Number Theory
• Galois Theory
• +۵ مورد دیگر

Dr. Ralf Gerkmann serves as a Lecturer at the Mathematical Institute of the Ludwig Maximilian University of Munich (LMU), within the Faculty of Mathematics, Computer Science and Statistics. He is actively involved in the Teacher Training Programmes Working Group and teaches multiple courses for secondary school teacher training programs (LA Gymnasium). His primary research and teaching interests include: Algebra and Number Theory with emphasis on Galois theory Linear Algebra and vector space theory Analysis of multiple variables Function Theory and complex analysis Lebesgue integration theory Ordinary Differential Equations Dr. Gerkmann has developed extensive teaching materials, including 288-page lecture notes for Algebra and Number Theory II (as of July 2025), 183-page Linear Algebra notes, and 80-page Analysis notes. His approach combines theoretical foundations with computational methods using SageMath, as evidenced by detailed code examples analyzing Galois groups and algebraic equation solutions. He coordinates examination retakes for students following older study regulations, with upcoming opportunities scheduled through 2025-2026. His teaching encompasses both regular courses and specialized preparation for state examinations in mathematics, with lecture recordings available through LMUCast.

Ruben Karaمشاهده پروفایل

پژوهشگر

• Energy Systems
• Renewable Energy Integration
• Smart Grids
• +۳ مورد دیگر

Dr. Ruben Kara is a researcher at Forschungszentrum Jülich GmbH's Institute of Climate and Energy Systems (ICE) in Jülich, Germany, specializing within the Energy System Technology (ICE-1) division. His work focuses on energy system modeling and climate-relevant technology development across multiple research groups including Energy Networks and Complex Systems. Research interests center on renewable energy integration challenges, smart grid optimization, and energy storage solutions for climate mitigation. His methodology combines computational modeling with machine learning approaches to address systemic energy transition barriers, particularly in grid stability and distributed resource management. The Institute of Climate and Energy Systems operates within Germany's premier research infrastructure, collaborating on major national initiatives including DFG SPP 1984 (Resilient Electric Energy Systems), DFG SPP 2331 (Quantum Grids), and HDS-LEE (High-Definition Simulation for Low-Emission Energy Systems). Current projects like InterSTORE and QuGrids demonstrate institutional focus on multi-vector energy storage and quantum computing applications. While specific advising details aren't published, the ICE Institute maintains active supervision of doctoral candidates through Forschungszentrum Jülich's university partnerships. Laboratory resources include high-performance computing facilities and grid simulation platforms supporting the institute's €50M+ annual third-party funding portfolio across 15+ active projects.

• Cell Therapy
• Immunotherapy
• CAR-T cells
• +۳ مورد دیگر

Christian Wichmann (PD Dr. med.) is a Physician Scientist at the Division of Transfusion Medicine, Cell Therapeutics, and Hemostaseology at the University Hospital of Ludwig Maximilian University of Munich (LMU). His research focuses on experimental cell therapy, particularly in the development of improved lentiviral CAR-T vectors for cancer immunotherapy. Dr. Wichmann's work centers on adoptive cell transfer of antigen-receptor-modified T-lymphocytes, where patients' own T-cells are engineered to recognize specific cancer cell surface antigens and induce tumor cell death, while addressing dangerous side effects such as uncontrolled cytokine release. Currently, Dr. Wichmann supervises doctoral research through the LMU-CSC Scholarship Program, offering positions for full doctoral study models of 36 or 48 months. His research represents an important contribution to advancing cancer immunotherapy techniques with direct clinical applications in oncology treatment.

• Allergology
• Environmental Health
• Climate Change Impact on Health
• +۳ مورد دیگر

Claudia Traidl-Hoffmann is a Professor of Environmental Medicine at the University of Augsburg and Director of the Institute of Environmental Medicine at Universitätsklinikum Augsburg. She also leads the Institute of Environmental Health at Helmholtz Munich and serves as Speaker of the Scientific Board of CK CARE, Europe’s largest privately funded allergy research initiative. Her work spans interdisciplinary collaborations across national and multinational networks. Research Interests include environmental drivers of allergic immune responses, climate change impacts on health, microbiome dynamics in disease prevention, personalized allergy prevention strategies, and planetary health integration into clinical practice. She emphasizes the role of aeroallergens, environmental biomarkers, and Big Data analysis in public health. 2024 Articles highlight her leadership in pollen forecasting models, skin microbiome interactions in radiodermatitis, and nocturnal heat-stroke risk correlations. 2023-2021 Articles cover tools like MicrobIEM for microbiome analysis, planetary health policy, climate change-allergy links, and cytokine-based precision treatments for COVID-19. Scientific Awards include EAACI Fellow (2020), ADF/ECARF Award (2019), DGAKI-Forschungspreis (2018), Oskar-Macher-Preis (2015), and Egon-Macher-Preis (2011). Her affiliations include the German Advisory Council on Global Change (WBGU), Robert Koch Institute’s Environmental Public Health Commission, and KLUG e.V., where she advocates for climate resilience education across diverse audiences.