جست‌وجوی استاد و پژوهشگر

Jörg Rademannمشاهده پروفایل

استاد

• Fragment-based Drug Discovery
• Medicinal Chemistry
• Protein-ligand Interactions
• +۷ مورد دیگر

Prof. Jörg Rademann is a Professor of Pharmaceutical/Medicinal Chemistry at Freie Universität Berlin since 2013. His research group specializes in fragment-based drug discovery and chemical biology , focusing on protein-ligand interactions for disease-related targets in cancer , Alzheimer's , tuberculosis , and viral infections (SARS, Zika, dengue, West Nile). The group integrates synthetic organic chemistry with bioanalytical , biochemical , and biophysical techniques , operating within the Department of Pharmacy at Freie Universität Berlin. B.Sc., M.Sc., and Ph.D. teaching: Inorganic and organic drug chemistry, pharmaceutical analysis Co-initiator of national ChemBioNet for chemical biology collaboration Developed Dynamic Ligation Screening (DLS) for fragment identification Research Interests include: Fragment-based ligand discovery for proteases, phosphatases, and protein-protein interactions Chemical probe development for structural and functional protein studies Solid-phase synthesis of peptides, peptidomimetics, and carbohydrates Multivalent constructs for enhanced binding and pharmacological properties Glycosaminoglycan (GAG) interactions in disease mechanisms Synthetic methodology for C-acylation and phosphorus/sulfur ylides Scientific Awards : Innovation Award in Medicinal Chemistry (GDCh/DPhG) (2002) Thieme Journal Award (2002) DFG Junior Research Group (2002) Landesgraduiertenförderung Baden-Württemberg (1994-97) Rutgers exchange fellowship (1990) Jugend forscht award (1986) Email : joerg.rademann@fu-berlin.de

• Energy System Modelling
• Energy System Optimization
• Decarbonization
• +۳ مورد دیگر

Beneharo Reveron Baecker serves as a Researcher at the Chair of Renewable and Sustainable Energy Systems within the Technical University of Munich (TUM), focusing on energy system modeling for decarbonization and grid integration challenges. His academic background includes: B.Sc. in Mechanical Engineering from TUM M.Sc. in Mechanical Engineering (Energy Systems specialization) from TUM Reveron Baecker's research centers on energy system modelling and optimization for decarbonization, with emphasis on sector coupling and distribution network flexibility . He develops methodologies for typifying small-scale system structures in large-scale models and quantifies demand-side flexibility potentials, directly addressing Germany's energy transition challenges through rigorous computational approaches. His publication record (2022-2025) reveals consistent focus on low-voltage grid modeling, transmission-distribution co-optimization, and open-source energy system frameworks. Key contributions include synthetic grid data generation tools and sector-coupled model architectures that enable carbon-neutral system planning, demonstrating strong alignment with European energy policy objectives. As an active member of TUM's ENS Team, he contributes to the SEDOS project analyzing sector integration in Germany's energy transition. His work integrates with broader initiatives like the SES Lab and international collaborations in energy system modeling, operating within TUM's Garching campus infrastructure.

Michael Ryan Hansenمشاهده پروفایل

استاد

• Solid-state NMR spectroscopy
• Polymer science
• Energy storage materials
• +۵ مورد دیگر

Prof. Dr. Michael Ryan Hansen is a full Professor of Physical Chemistry at the Westfälische Wilhelms-Universität Münster, Germany, where he has led the Hansen research group since 2015. His group focuses on advanced solid-state NMR spectroscopy applied to polymers, supramolecular structures, functional inorganic materials, and energy storage systems. Prior to his current role, he was an Assistant Professor at Aarhus University’s iNANO and Department of Chemistry (2013–2015), and a research group leader at the Max Planck Institute for Polymer Research in Mainz (2010–2013). Education: PhD in Natural Sciences, Aarhus University, Denmark (2006) Cand. scient. (MSc equivalent) in Chemistry, Aarhus University, Denmark (2003) BSc in Physics and Chemistry, Aarhus University, Denmark (2001) Research Interests: Prof. Hansen’s work centers on the development and application of solid-state NMR techniques to study structure–dynamics relationships in materials. His group investigates fluorinated polymers, graphene nanoribbons, ionic conductors, zeolites, and supramolecular systems. A major focus is on energy-relevant materials, including lithium- and sodium-ion conductors, solid-state electrolytes, and thermally stable polymers for battery applications. Method development is another cornerstone of his research, involving advanced pulse sequences, wideline NMR, and the integration of DFT calculations. Scientific Contributions & Awards: Although specific awards are not listed, Prof. Hansen has authored over 150 peer-reviewed papers since 2015 in top-tier journals such as Journal of the American Chemical Society , Angewandte Chemie , and Advanced Materials . His work on pressure-induced dislocations in lithium argyrodites and the synthesis of curved graphene nanoribbons has been highly cited, reflecting significant impact in materials chemistry and energy storage. Research Group & Collaborations: The Hansen group comprises post-docs, PhD students, and master’s students working on projects funded by the German Research Foundation (DFG) and the Federal Ministry of Education and Research (BMBF). Collaborations extend across Europe and include partners such as Aarhus University, MPI Mainz, and international synchrotron facilities. The group operates state-of-the-art solid-state NMR spectrometers (400–850 MHz) and maintains strong ties with the university’s mechanical, electronics, and chemical workshops for custom instrumentation.

Michael J. Zillerمشاهده پروفایل

استاد

• Functional Genomics
• Psychiatric Genetics
• Neurobiology of Mental Illness
• +۳ مورد دیگر

Michael J. Ziller is a Professor at the Faculty of Medicine, University of Münster, affiliated with the Department of Psychiatry and Psychotherapy. He leads the Lab for Functional Genomics in Psychiatry and participates in the "Cells in Motion" research commission. Research Focus: Functional genomics, molecular mechanisms of psychiatric disorders (schizophrenia, bipolar disorder), and computational strategies for personalized medicine. Projects: Decoding polygenic risk architectures, modeling neuronal hyperexcitability, and developing machine learning methods for patient stratification. Funding: BMBF (Project DINGS), EKFS Schlüsselproject. The lab utilizes iPSC models, ChIP-Seq, ATAC-Seq, HiC, single-cell RNA-Seq, and Perturb-Seq to bridge genetic associations with neurobiological insights, aiming to identify drug targets and optimize treatment for psychiatric diseases.

Jan Novákمشاهده پروفایل

پژوهشگر

• Global Illumination
• Participating Media
• Ray Tracing
• +۳ مورد دیگر

Jan Novák is a researcher in computer graphics with a focus on physically-based rendering and global illumination. He completed his PhD at Karlsruhe Institute of Technology (KIT) in 2014 under Carsten Dachsbacher, with prior degrees from Czech Technical University in Prague and academic experience at Union College (US) and Nanyang Technological University (Singapore). He has held research internships at Disney Research Zurich (2011) and Pixar Animation Studios (2012), before joining Walt Disney Animation Studios in 2013 and returning to Disney Research Zurich in 2014. Education : B.Sc. and M.Sc. from Czech Technical University in Prague (2007-2009) PhD in Computer Science at Karlsruhe Institute of Technology (2014) Research Interests include global illumination, participating media, ray tracing acceleration techniques, and GPU computing. His work addresses challenges in realistic light transport simulation for scenes with complex volumetric effects and glossy materials. Publication Trends reveal a consistent focus on light transport optimization through GPU-accelerated techniques. Key contributions span visibility caching, path-space manipulation, beam/light representations for volumetric effects, and bias compensation methods. His research bridges theoretical advancements with practical implementations for scalable rendering systems. Teaching Experience includes multiple practical courses on GPU computing and graphics programming at KIT between 2010-2013. He also served as a reviewer for prestigious venues including ACM Transactions on Graphics, Eurographics, and SIGGRAPH conferences. Student Supervision covers bachelor and diploma theses on advanced rendering topics, including visibility caching techniques, virtual spherical lights, subsurface scattering algorithms, and 2D path tracing implementations.

• Highway Engineering
• Asphalt Materials
• Pavement Design
• +۵ مورد دیگر

Markus Oeser is a full professor at the Chair and Institute of Highway Engineering, affiliated with the Federal Highway Research Institute (BASt). His research advances pavement technology, smart infrastructure, and sustainable materials through computational modeling and experimental characterization. Research Focus His work spans: Advanced asphalt materials (self-healing, inductive, nano-enhanced) Digital twins for real-time pavement monitoring Traffic flow modeling and AI-driven infrastructure management Sustainable recycling of construction waste Piezoresistive sensors for smart roads Publication Trends (2024-2025) Recent articles emphasize multi-scale modeling (atomic to structural levels), integration of AI/ML in pavement systems, and sustainability-driven material innovations. Dominant themes include nanomaterial-enhanced composites, digital twins for infrastructure, and traffic microsimulation. Affiliations & Infrastructure Leads research at BASt's highway engineering facilities, leveraging laboratories for materials testing, computational modeling, and full-scale pavement validation.

Guido Friebelمشاهده پروفایل

استاد

• Organizational Economics
• Personnel Economics
• Human Resource Management
• +۷ مورد دیگر

Prof. Guido Friebel, Ph.D. holds the Chair for Human Resources at Goethe University Frankfurt. He previously held positions at the Toulouse School of Economics (EHESS) and Stockholm School of Economics.

• Game Theory
• Microeconomics
• Mathematical Economics
• +۴ مورد دیگر

Prof. Dr. Dominik Karos is a Professor at Bielefeld University, specifically affiliated with the Faculty of Economics and the Institute for Mathematical Economics (IMW). He serves as an academic advisor for the Master Quantitative Economics program and is a faculty member of both the Bielefeld Graduate School in Theoretical Sciences and the Bielefeld Graduate School of Economics and Management (BIGSEM). Additionally, he is a member of the Center for Uncertainty Studies (CeUS) and serves on the Senate - Group of University Professors. Prof. Karos specializes in game theory, microeconomics, and mathematical economics. His research focuses on bargaining theory, social choice, information economics, and welfare analysis. He has developed theoretical frameworks for understanding farsighted rationality in coalition formation, axiomatic bargaining solutions, strategic information selection, and the welfare effects of information exchange. His work bridges theoretical economic models with practical applications in market design, voting systems, and decision-making under uncertainty. Prof. Karos teaches a range of advanced economics courses including Microeconomics 1-3, Game Theory, and various elective courses. He serves as the module responsible for multiple graduate-level courses and supervises master's theses through the International Track program. His expertise in game theory and networks is recognized within the department, where he is listed as an expert in these areas. Research Fellow, Center for Uncertainty Studies (CeUS) Faculty Member, Bielefeld Graduate School in Theoretical Sciences Faculty Member, BIGSEM - Bielefeld Graduate School of Economics and Management Member, Senate - Group of University Professors Academic Advisor, Master Quantitative Economics program Prof. Karos's research demonstrates a consistent focus on the theoretical foundations of economic decision-making, with particular emphasis on how agents form beliefs, make strategic choices, and reach agreements under various informational and institutional constraints. His recent work explores the implications of farsighted rationality, the design of optimal information structures, and the welfare consequences of information exchange in strategic settings.

• Accelerator Physics
• Beam Dynamics
• Radio-Frequency Photoinjectors
• +۵ مورد دیگر

Thorsten Kamps is a Professor of Physics at Humboldt University of Berlin and Head of the Department of High-Brilliance Electron Beams at Helmholtz-Zentrum Berlin . He is also Deputy Project Manager for the Superconducting RF Electron Accelerator Laboratory SEALAB . Education: Graduate Physicist (Dipl.-Phys.) from TU Dortmund (formerly University of Dortmund), Doctor rerum naturalium (Dr. rer. nat.) from Humboldt University of Berlin Research Interests: Particle accelerator beam dynamics, diagnostics, superconducting radio-frequency photoinjectors (SRF photoinjectors), photocathode growth, instrumentation for bright electron beams, free-electron lasers, ultrafast scattering sources, and future trends of accelerator-driven light sources Expertise: Accelerator physics, beam physics of electron beams, photoinjectors, storage rings, electron beam diagnostics, free-electron lasers, and project management of large-scale accelerator projects Labs/Teams: Involved with SEALAB (Superconducting RF Electron Accelerator Laboratory), BERLinPro (Berlin Energy Recovery Linac Project), and collaborations with institutions like Royal Holloway University of London, DESY, and DELTA/University of Dortmund Publications Trends: Thorsten Kamps’ recent works focus on SRF photoinjectors, beam diagnostics, photocathode development, and thermal load studies. His research spans applications in ultrafast electron diffraction, laser-driven acceleration, and energy-recovery linacs, with collaborations across Europe and the US. Topics include interferometric beam monitoring, multi-alkali antimonide materials, and solenoid alignment for beam control. Teaching: Promotes education in accelerator physics through BSc and MSc courses, and supervises BSc, MSc, and PhD students. Develops practical experiments for internships in accelerator physics.

• Computer Science
• Algorithms
• Computational Complexity
• +۳ مورد دیگر

PD Dr. rer. nat. Wolfgang Kössler is a Senior Lecturer at the Institute of Computer Science , part of the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin . His research focuses on theoretical computer science, particularly algorithms and computational complexity. Email: koessler@informatik.hu-berlin.de Contact: Phone 030 2093-41213 | Fax 030 2093-3932 Address: Unter den Linden 6, 10099 Berlin His work is associated with the Algorithms and Complexity II group, suggesting expertise in advanced algorithmic theory and data structure optimization.

• Bioinformatics
• Time Series Analysis
• Machine Learning
• +۳ مورد دیگر

Patrick Schäfer is a Researcher at the Institute of Computer Science, Humboldt University of Berlin. His work focuses on time series analytics, bioinformatics, and data series management. He contributes to unsupervised learning algorithms and temporal data mining. Affiliation: Institute of Computer Science, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin Email: Patrick.Schaefer@hu-berlin.de Phone: 030 2093-41287 Address: Unter den Linden 6, 10099 Berlin Research Interests His research spans time series classification , segmentation algorithms , and bioinformatics data management . He develops tools for unsupervised analysis of multidimensional temporal data, focusing on motif detection, similarity search, and efficient indexing. Key Themes : Parameter-free temporal data analysis High-dimensional time series similarity search Unsupervised motif discovery Human activity segmentation benchmarks Integration of time series analytics with molecular simulations

• Integrated Photonics
• Quantum Computing
• Nanotechnology
• +۳ مورد دیگر

Dr. Paulomi Mandal is a researcher at the Chair of Integrated Photonics (IPH), RWTH Aachen University, Germany. Her work focuses on advanced photonic platforms combining diamond and silicon materials for quantum and neuromorphic computing applications. Research interests include: Development of hybrid photonic materials Nanofabrication techniques for integrated optics Waveguide design and optimization Applications in quantum technologies and structured light systems Her publications highlight collaborations on nanocrystalline diamond ridge waveguides and SF6-isotropic etching methods, contributing to the advancement of suspended photonic platforms. She is affiliated with IPH's research initiatives in: Photonics for quantum computation Structured light applications in medicine Energy-efficient photonic systems (EFFICIENTlight project)

• Theoretical Physics
• Astrophysics
• General Relativity
• +۶ مورد دیگر

Daniela Doneva, Ph.D., is a Lecturer at the Institute for Astronomy and Astrophysics (IAAT) , University of Tübingen. Her work spans theoretical and computational astrophysics, focusing on nonlinear gravitational phenomena in modified theories of gravity. Key affiliations: Institute for Astronomy and Astrophysics (IAAT), University of Tübingen Degree: Ph.D. in Physics Research interests include: Black Hole Scalarization : Spin-induced and curvature-induced scalarization mechanisms in black holes and neutron stars. Modified Gravity Theories : Einstein-Gauss-Bonnet, scalar-tensor theories, and teleparallel gravity extensions. Gravitational Wave Physics : Modeling waveforms, stability analysis, and LISA mission applications. Numerical Relativity : Simulations of compact object mergers and nonlinear evolutions. Her publications emphasize computational methods (e.g., neural network surrogates), stability analysis, and observational constraints from gravitational wave detectors like LISA. No scientific awards or student advisement details were found in the provided texts.

• Materials Science
• Nanotechnology
• Thermoelectrics
• +۷ مورد دیگر

Dr. Yolita Eggeler is an Assistant Professor in the Department of Physics at the Karlsruhe Institute of Technology (KIT), leading the LEM (Laboratory for Experimental Materials) research group. Her work focuses on advanced materials science, nanotechnology, and additive manufacturing, with a particular emphasis on laser-based fabrication techniques, thermoelectric materials, and micro/nanostructural characterization. She is affiliated with the KIT Physics Department and collaborates on projects involving energy harvesting, semiconductor devices, and high-temperature alloy behavior. Research interests include: Laser microprinting of semiconductors and metals Thermoelectric generator design and optimization Nanoparticle synthesis and applications High-temperature material degradation and creep mechanisms Recent publications highlight innovations in photothermal laser printing of crystalline materials, novel thermoelectric modules, and core-shell nanocrystal engineering. Her work bridges fundamental materials science with applied technologies like flexible electronics and energy conversion systems. Key collaborations involve advanced TEM analysis for microstructural studies and correlative microscopy techniques. She is actively developing new methodologies for in-situ pyrolysis of 3D-printed materials and exploring AI-driven materials discovery through concept graph analysis. Laboratory facilities include state-of-the-art laser printing systems, electron microscopy setups, and thermal characterization equipment. Her team focuses on translating lab-scale innovations into scalable manufacturing processes for next-generation electronic and energy systems.

Michael Kochمشاهده پروفایل

استاد

• Robotics
• Additive Manufacturing
• Materials Science
• +۳ مورد دیگر

Prof. Michael Koch is a Professor at Technische Hochschule Nürnberg, specializing in interdisciplinary research at the intersection of robotics, materials science, and industrial engineering. His work focuses on advancing additive manufacturing, robotics integration, and computational simulation in manufacturing processes. He holds a Dr.-Ing. and Dipl.-Wirt.-Ing., reflecting his expertise in engineering and applied sciences. Research interests include 3D printing optimization, cyber-physical systems, and safety analysis of materials under mechanical stress. He has contributed to innovations in robotics programming via augmented reality and developed frameworks for automated manufacturing processes. His studies on biomedical applications, such as ovarian cancer modeling, demonstrate a cross-disciplinary approach. Key projects involve robot-guided CT scanning for automotive industry 4.0, part orientation evaluation for additive manufacturing (Poeam), and safety protocols for explosives (PBX). His work emphasizes integrating real-world geometry data into simulations to improve accuracy and efficiency. Prof. Koch’s publications span over three decades, with a focus on manufacturing, robotics, and materials science. He has pioneered methods for energy-efficient CO2 capture systems and explored microstructural changes in materials under dynamic loading.