جست‌وجوی استاد و پژوهشگر

Frank Sensfußمشاهده پروفایل

پژوهشگر

• Renewable Energy Systems
• Energy Policy
• Energy Market Analysis
• +۵ مورد دیگر

Dr. Frank Sensfuß is the Head of the Department of Energy Policy and Energy Markets at the Fraunhofer Institute for Systems and Innovation Research ISI since October 2023. Previously, he served as Coordinator of the Business Unit Electricity Markets and Infrastructures (until February 2025) and Deputy Head of the Competence Center Energy Policy and Energy Markets (2019–2023). He holds a PhD in Economics (Dr. rer. pol.) from the University of Karlsruhe (2007), with earlier studies in Energy and Environmental Management at the University of Flensburg and Export Engineering at the University of Southern Denmark. His research focuses on renewable energy systems, energy policy modeling, and the integration of renewables into electricity markets. Key areas include agent-based simulation platforms, market design for decarbonization, and hydrogen infrastructure planning. He has led over 30 projects addressing energy transition challenges, including EEG evaluations, hydrogen roadmaps, and cross-border energy cooperation scenarios. Publications emphasize quantitative analyses of energy systems, policy impacts, and technological pathways. Notable works include studies on capacity markets in Austria, hydrogen demand infrastructure, and geospatial assessments of renewable potential in Mongolia. His work bridges technical modeling with policy advice, contributing to EU and German energy strategy development. Frank Sensfuß collaborates with international institutions like the German Academy of Technical Sciences (acatech) and has advised on policy frameworks such as the Renewable Energy Act (EEG). His interdisciplinary approach integrates economic, technical, and regulatory dimensions to advance sustainable energy transitions.

Daniel Spethمشاهده پروفایل

پژوهشگر

• Electrification of Road Freight Transport
• Market Diffusion of Electric Vehicles
• Charging Infrastructure
• +۲ مورد دیگر

Daniel Speth is a Researcher at the Fraunhofer Institute for Systems and Innovation Research (ISI) in the Department of Energy Technology and Energy Systems. He earned his doctoral degree from the Karlsruhe Institute of Technology (KIT) in May 2024 for his dissertation on electrification of road freight transport, focusing on public fast charging infrastructure and market diffusion of battery electric trucks. His educational background includes: Bachelor’s and Master’s studies in Industrial Engineering and Management at KIT, specializing in energy economics and logistics 2018 Master’s thesis at Fraunhofer ICT on EU legislation impacts on CO 2 fleet targets 2024 Doctoral degree from KIT on electric truck infrastructure and market diffusion Speth’s research centers on heavy-duty vehicle electrification, with expertise in techno-economic assessments of alternative fuel vehicles and charging infrastructure planning. His work analyzes market diffusion patterns, infrastructure requirements for battery electric trucks, and integration of electric mobility into power systems, utilizing agent-based modeling and real-world data analysis to inform policy decisions. His 2024-2025 publications reveal a concentrated focus on heavy-duty transport electrification, particularly optimal fast-charging network design for battery electric trucks across Germany and Europe. Key themes include megawatt charging infrastructure, comparative analysis of overhead line versus static charging systems, and behavioral factors affecting electric vehicle adoption in freight and passenger transport. No scientific awards were documented in the provided information. Speth contributes to the ALADIN project (a diffusion model for electric mobility) and participates in major Fraunhofer initiatives like eWayBW for overhead line truck testing. His collaborative work involves transportation data analysis, infrastructure planning, and policy evaluation for German federal programs, though specific grant details and student advising roles are not disclosed. As a core member of Fraunhofer ISI’s energy systems team, he collaborates with KIT researchers and industry partners on real-world implementation projects. His work bridges technical infrastructure development with market adoption analysis, particularly through the ALADIN modeling framework that simulates electric mobility diffusion scenarios under varying policy conditions.

Annegret Stephanمشاهده پروفایل

پژوهشگر

• Technological Innovation
• Clean Energy Systems
• Electric Mobility
• +۳ مورد دیگر

Annegret Stephan is a Researcher at the Fraunhofer Institute for Systems and Innovation Research (ISI) since January 2022, working in the Department of Energy Technologies and Energy Systems. Previously, she held postdoctoral and senior researcher roles at ETH Zurich’s Group for Sustainability and Technology (2017–2021). She earned her PhD in innovation in energy technologies from ETH Zurich (2013–2016) and a Diplom in Business Engineering from Karlsruhe Institute of Technology (KIT). Her research focuses on technological innovation for clean energy systems, particularly sector coupling (energy and transport), electric mobility, and battery technologies. She teaches the course Energy Innovation and Management at ETH Zurich and has conducted research stays at UTS (Australia) and UCL (UK). Practical experience includes internships at McKinsey & Company and Lufthansa. Key research themes include battery production scalability, policy frameworks for European industry, smart charging infrastructure for electric vehicles, and knowledge spillovers in innovation systems. Her work bridges academic research with industry applications, addressing challenges like cost reduction in battery technologies and grid integration of renewable energy. Publications emphasize policy analysis, technical challenges in V2X systems, and socio-technical transitions. She collaborates on projects like the Lithium-Ion Battery Roadmap 2030+ and Alternative Battery Technologies Roadmap , guiding sustainable energy transitions.

John Volkerمشاهده پروفایل

پژوهشگر ارشد

• Computational Fluid Dynamics
• Finite Element Methods
• Numerical Analysis
• +۵ مورد دیگر

John Volker is a Research Fellow at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS), specializing in numerical analysis and computational fluid dynamics. His work focuses on developing and analyzing finite element methods, stabilization techniques for convection-dominated flows, and applications in fluid mechanics. He has contributed to advancing PINN-based methods, pressure-robust discretizations, and optimal control strategies for industrial and biomedical fluid dynamics problems. Key research areas include: numerical methods for PDEs (convection-diffusion, Navier-Stokes), turbulence modeling, and high-resolution schemes for discontinuous Galerkin methods. His studies often address spurious oscillations, error analysis, and the integration of machine learning in numerical simulations. Notable projects include investigations into blood flow simulations, liquid steel stirring optimization, and the impact of viscosity modeling in biomedical contexts. His research bridges theoretical analysis with practical applications, contributing to both algorithm development and real-world engineering challenges.

• Machine Learning
• Variational Inference
• Lattice Field Theory
• +۱ مورد دیگر

Dr. Kim Andrea Nicoli is a Researcher at the Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, affiliated with the TRA Matter initiative. Her interdisciplinary work bridges physics and machine learning, focusing on generative models (normalizing flows, diffusion models), theoretical ML, and applications in lattice field theory and quantum computing. Publications demonstrate specialization in developing neural sampling techniques for physical systems and improving estimators for machine learning frameworks. Research consistently combines advanced computational methods with fundamental physics problems.

Alf Gerischمشاهده پروفایل

مدرس ارشد

• Mathematical Modeling
• Numerical Analysis
• Scientific Computing
• +۶ مورد دیگر

Dr. Alf Gerisch is a Senior Lecturer at the Department of Mathematics, Technical University of Darmstadt, where he leads the Numerical and Scientific Computing Group. His research focuses on mathematical modeling, numerical simulation, and analysis of biological, material, and natural science processes, particularly in tumor models, cell adhesion, bone fracture healing, and multiscale mechanical properties of tissues. He has organized and contributed to numerous international conferences, including ENUMATH2025 and ECMTB 2024. His work integrates advanced numerical methods like peer time integration schemes and uncertainty quantification, with applications in biomedical systems and soft matter. Education: Ph.D. in Numerical Analysis (2001, University of Halle-Wittenberg), M.Sc. in Applied Mathematics (1997, University of Dundee). Research Interests: Dr. Gerisch advances numerical methods for taxis-diffusion-reaction systems, develops computational frameworks for uncertainty quantification, and models biological processes such as tumor invasion and cell migration. His projects include leadership of the DFG-funded Multiscale structure-functional modeling of musculoskeletal mineralized tissues (2009–2016) and membership in SFB Transregio 154 and 146. Publications: Over 50 peer-reviewed articles, including contributions to journals like Journal of Computational Physics , Bulletin of Mathematical Biology , and Computer Methods in Biomechanics and Biomedical Engineering . Recent work explores nonlocal models of cell adhesion and data-driven approaches for gas networks. Teaching: Offers courses in numerical linear algebra, mathematical biology modeling, scientific programming, and finite element methods. Consultation hours via Zoom during lecture weeks. Grants & Projects: Co-led DAAD-funded research visits to India (2017), and collaborates internationally on biomechanical and computational biology initiatives. Labs/Teams: Active in the Numerical Analysis and Scientific Computing research group, contributing to the Kardos adaptive Finite Element software and the asymptotic homogenization framework for composite materials.

Savvas Zannettouمشاهده پروفایل

استادیار

• Machine Learning
• Data-Driven Analysis
• Social Media
• +۱۲ مورد دیگر

Savvas Zannettou is an Assistant Professor at the Faculty of Technology, Policy, and Management (TPM) at Delft University of Technology (TU Delft). He is also an Associated Researcher at the Max Planck Institute for Informatics (MPI-INF) and a core member of the iDrama Lab. His research is centered on applying machine learning and data-driven analysis to understand online phenomena such as misinformation, hate speech, and algorithmic recommendations on social media platforms. His research interests lie at the intersection of computer science, social media, and policy. Key areas include online disinformation, hate speech detection, algorithmic transparency, toxic content in AI-generated media, and platform moderation. He employs large-scale data analysis to study user behavior on platforms like TikTok, Twitter, Reddit, and WhatsApp, with a strong focus on ethical and societal implications. His recent publications reveal a strong trend in auditing social media algorithms, analyzing AI-generated harmful content (e.g., hateful memes), and leveraging data donation frameworks to study user exposure. His work frequently appears in top-tier venues like WWW, IEEE S&P, USENIX Security, and ICWSM. He has led research on topics including QAnon, incel communities, state-sponsored trolls, and the impact of moderation policies. He has received several scientific honors, including: Distinguished Paper Award, ACM IMC 2018 Best Paper Honorable Mention, ICWSM 2020, 2024 Best Paper Honorable Mention, CSCW 2021 Best Paper Honorable Mention, ACM CCS 2022 Best Senior Program Committee Member, AAAI ICWSM 2022, 2023 Savvas Zannettou actively mentors students, with several PhD and Master’s advisees leading publications in top conferences. He has been involved in significant grant-funded research, including a €1.3M NWO project on trusted flaggers under the Digital Services Act (DSA), and has secured funding from Google’s Academic Research Award Program. He serves on the program committees of major conferences such as ICML, NeurIPS, USENIX Security, and The Web Conference. He is a core member of the iDrama Lab, which focuses on data-driven research for advanced modeling and analysis, particularly in the context of online safety and platform governance.

• Optimal Transport
• Gradient Flows
• Ricci Curvature
• +۷ مورد دیگر

Prof. Dr. Matthias Erbar is a faculty member in the Faculty of Mathematics at Bielefeld University, where he leads the research group AG Erbar. His work is centered on mathematical analysis, with a focus on optimal transport, gradient flows, and discrete geometric analysis. He is affiliated with the Department of Mathematics and maintains an active research profile with numerous publications in top-tier journals. His research interests lie at the intersection of analysis, probability, and geometry. He investigates optimal transport on discrete and continuous spaces, gradient flow structures in PDEs and stochastic processes, Ricci curvature on metric measure spaces and graphs, and functional inequalities such as Poincaré and logarithmic Sobolev inequalities. His work often employs entropy-based methods and explores the geometric implications of curvature conditions in non-smooth settings. The recent publications show a consistent trend toward understanding geometric and analytic properties of discrete systems, including graphs, Markov chains, and configuration spaces. There is a strong emphasis on formulating continuous concepts like Ricci curvature and gradient flows in discrete settings, enabling applications in probability, statistical mechanics, and numerical analysis. The work frequently involves collaboration with leading researchers in the field. Scientific Awards: No awards explicitly mentioned in the provided text. Prof. Erbar advises doctoral students and leads an active research group (AG Erbar), suggesting engagement in graduate supervision and collaborative research. While specific grants are not listed, his publication output and collaborations imply sustained research funding. He has co-authored papers with researchers across Europe, indicating international collaboration and academic leadership. He is the principal investigator of AG Erbar , a research group within the Faculty of Mathematics at Bielefeld University. The group focuses on analysis and probability, particularly in the context of optimal transport and discrete geometry. The group likely includes PhD students and postdoctoral researchers, contributing to the broader research environment in mathematical analysis at Bielefeld.

• Membrane Technology
• Electrochemical Engineering
• Chemical Process Engineering
• +۳ مورد دیگر

Prof. Matthias Wessling is the current Vice-Rector for Translation and Transfer at RWTH Aachen University (since 2024). He holds the Chair of Chemical Process Engineering and has served in various leadership roles, including Vice-Rector for Research and Structure (2018–2024) and Vice Dean at the Faculty of Mechanical Engineering (2014–2018). His academic career spans professorships at RWTH Aachen, the University of Twente (Netherlands), and visiting roles at Stanford University. A renowned expert in membrane technology and electrochemical processes, he leads initiatives in energy, sustainability, and interdisciplinary research. Educations: Doctorate (Dr.-Ing) in Membrane Technology, University of Twente (1994) Diplom in Chemical Engineering, TU Dortmund University and University of Cincinnati (1989) Research Focus: Prof. Wessling specializes in membrane science, electrochemical systems, and process engineering. His work addresses challenges in CO2 conversion, water treatment, and energy-efficient separation technologies. Recent efforts include developing advanced gas diffusion electrodes, scalable electrochemical reactors, and sustainable material solutions. Awards & Recognition: 2019 Gottfried Wilhelm Leibniz Prize 2016 ERC Advanced Grant (ConFluReM) 2010 Alexander von Humboldt Professorship Grants & Projects: He spearheads major initiatives like the DFG Cluster of Excellence "Tailor-Made Fuels from Biomass" and collaborates on EU projects. His labs focus on translating research into industrial applications through RWTH’s infrastructure networks. Labs/Teams: Leads the Chair of Chemical Process Engineering at RWTH, engaged in cutting-edge projects on membrane distillation, electro-Fenton processes, and additive manufacturing of porous materials.

• Soft Matter Physics
• Biomaterials
• Tissue Engineering
• +۵ مورد دیگر

Dr. Tamás Haraszti is a researcher at RWTH Aachen University specializing in soft matter physics and biomaterials engineering. His work focuses on developing advanced hydrogel-based systems for biomedical applications, including bioprinted tissue models, synthetic cell mimics, and mechanoresponsive materials. He holds the position of Project Leader and serves as Data Protection Commissioner, reflecting his dual role in research innovation and institutional governance. His research interests span biomaterials design, tissue engineering, and mechanobiology. Notable contributions include scalable kidney fibrosis models via bioprinting, anisotropic collagen scaffolds for cell culture, and microgel platforms for cytokine scavenging. He collaborates extensively with groups in immunology, polymer chemistry, and synthetic biology. Recent work emphasizes hydrogel functionalization for antibacterial surfaces, mechanotransduction studies in muscle cells, and synthetic cells harboring bacterial division machinery. His publications demonstrate cross-disciplinary approaches in materials science and biomedical engineering, addressing challenges in regenerative medicine and therapeutic delivery systems.

Mohsen Zareمشاهده پروفایل

استاد

• Soil Biophysics
• Rhizosphere Dynamics
• Environmental Systems
• +۴ مورد دیگر

Prof. Mohsen Zare is a Professor of Soil Biophysics and Environmental Systems at the Technical University of Munich (TUM), affiliated with the TUM School of Life Sciences. His research focuses on soil-root interface processes, particularly how soil physical properties influence plant and microbial life. He holds a PhD in Soil and Plant Hydrology (2013, Georg-August University of Göttingen) and has held academic positions including a postdoc at Göttingen (2013–2017), academic lecturer at the University of Bayreuth (2017–2022), and his current role at TUM since 2022. Research interests include soil health, rhizosphere biophysics, plant-microbe interactions, and digital twin approaches for soil-plant systems. Key projects involve mucilage-driven nutrient diffusion, biochar impacts on soil hydraulics, and hydraulic orchestration in agroecosystems. Awards include a 2019 Early Career nomination and a 2009 German IPSWat doctoral scholarship. Teaching emphasizes hands-on experimentation in soil biophysics, with courses linking theory to sustainable soil management practices. His lab investigates advanced imaging (neutron radiography, X-ray CT) and mechanistic modeling to understand root water uptake and nutrient transport dynamics. Current initiatives bridge soil physics with climate-smart agriculture, aiming to enhance soil resilience under environmental stressors. Collaborations include the ProPollSoil and Hydraulic Orchestra projects, focusing on rhizosphere engineering and precision agriculture. Research infrastructure includes state-of-the-art facilities for soil hydraulics analysis and rhizosphere visualization.

Isabell M. Welpeمشاهده پروفایل

استاد

• Digital Transformation
• Business Model Innovation
• Impact of Digital Technologies on Organizations
• +۳ مورد دیگر

Prof. Isabell M. Welpe holds the Chair for Strategy and Organization at the Technical University of Munich (TUM). She specializes in digital transformation, business model innovation, and the impact of digital technologies on organizations. Her academic journey includes studies at LMU Munich, MIT, and an MSc from the London School of Economics. As a research fellow at University College London, she contributes to interdisciplinary research. Her teaching focuses on strategy, digital transformation, leadership, and organizational design. Key research highlights include work on blockchain's disruptive potential in media, education, and industries, as well as employer branding and ethical leadership. Notable awards include the VHB Best Practice Paper Award (2010) and multiple Best Paper distinctions at NeuroPsychoEconomics Conferences. Her team includes senior researchers like Dr. Hartwig Rüll and Dr. Tanja Schwarzmüller, reflecting a collaborative environment. Research spans innovation, organizational behavior, and leadership, with outputs in top journals like Journal of Applied Psychology and MIT Sloan Management Review .

Lukas Millesمشاهده پروفایل

استاد

• Protein Design
• Biophysics
• Deep Learning
• +۳ مورد دیگر

Prof. Dr. Lukas Milles is a Professor (W2) at the Gene Center, Ludwig-Maximilians-Universität (LMU) Munich and an Emmy Noether Group Leader at the Max Planck Institute (MPI) of Biochemistry in Martinsried. His research focuses on de novo protein design, leveraging deep learning and biophysical characterization to engineer proteins with novel functions. He holds appointments at both LMU and the MPI, bridging computational and experimental approaches in biomolecular design. Academically, Milles earned a PhD in Physics/Biophysics from LMU (2014–2018) under Prof. Hermann Gaub, followed by postdoctoral training at the University of Washington’s Institute for Protein Design (2019–2023) with Prof. David Baker. His interdisciplinary work spans protein stability, host-pathogen interactions, and synthetic biology, with a focus on autocatalytic enzymes and catch-bond mechanisms inspired by bacterial pathogens. Key research interests include single-molecule biophysics, high-throughput protein screening, and machine learning-driven design. His lab develops tools like RFdiffusion and ProteinMPNN to predict and engineer protein structures and functions. Notable achievements include designing mechanically robust proteins and elucidating the molecular basis of pathogen adhesin stability. Scientific awards include the HFSP Cross-Disciplinary Fellowship (2020–2023) and EMBO Long-Term Fellowship (2019–2020). His group actively collaborates with institutions worldwide, advancing applications in biomedicine and biomaterials. Current projects prioritize synthetic protein systems for targeted therapies and mechanoresponsive biomolecules.

Simone Wiegandمشاهده پروفایل

پژوهشگر

• Thermophoresis
• Thermodiffusion
• Hydrogen Bonds
• +۳ مورد دیگر

Prof. Dr. Simone Wiegand is a Senior Scientist at the Institute for Biological Information Processes (IBI) within the Biomacromolecular Systems and Processes (IBI-4) department at Forschungszentrum Jülich. Her research focuses on understanding transport processes in aqueous systems, particularly hydrogen bond dynamics and their role in biological and pharmaceutical reactions. She employs advanced optical and scattering methods to study thermodiffusion and thermophoresis under thermal gradients, with applications ranging from origin-of-life scenarios to drug delivery systems. Her expertise includes thermal diffusion forced Rayleigh scattering, light scattering techniques, and holographic grating optimization for quantitative studies. Key research interests involve the interplay between hydration layers and transport phenomena, with recent work emphasizing non-monotonic Soret coefficient behavior in salt solutions and the development of microfluidic devices for thermophoretic analysis. Publications highlight advancements in thermal diffusion mechanisms, colloidal particle behavior, and the role of thermophoresis in prebiotic chemistry. Her interdisciplinary approach bridges physics, chemistry, and biology, addressing fundamental questions about molecular interactions and their practical implications in healthcare and energy materials.

• Medieval Archaeology
• Landscape Archaeology
• Mining Archaeology
• +۷ مورد دیگر

Torsten Rünger is a researcher in the Department of Prehistoric and Early History Archaeology at the Institute of Archaeology and Cultural Anthropology, University of Bonn. He has held various research and teaching positions at the university since 2011, and since October 2023 has served as a scientific staff member. He earned his M.A. and PhD from the same institution, focusing on medieval rural settlements and watermills. His research interests include Medieval Archaeology, Landscape Archaeology, Mining Archaeology, Roman Pottery Production, and the social structures of rural settlements. He is particularly known for his work on watermills as expressions of power and economic control in the medieval Rhineland. The recent publications of Torsten Rünger reflect a strong trend in interdisciplinary landscape archaeology, combining excavation, survey, and digital modeling to understand economic and social structures in both the Roman and medieval periods. His work spans from local Rhineland sites to international projects in Iraqi Kurdistan, emphasizing technological development, resource exploitation, and cultural continuity. Albert-Steeger-Preis des LVR 2018 für die Dissertationsschrift Postdoc-Forschungsstipendiat der Fritz Thyssen Stiftung (2019) Promotionsstipendium der Stiftung zur Förderung der Archäologie im Rheinischen Braunkohlenrevier (2014–2016) Dr. Rünger has actively supervised and tutored students at the University of Bonn, serving as an academic tutor and organizing numerous teaching excavations, particularly in the montane region of Königswinter-Bennerscheid. He has been involved in externally funded research projects supported by organizations such as the DFG, the Fritz Thyssen Foundation, and regional archaeological foundations. His work often involves collaboration with institutions like the LVR-Amt für Bodendenkmalpflege. He has led and co-organized field schools and research teams focused on mining archaeology and rural settlement patterns, contributing to both academic knowledge and public archaeology through exhibitions and outreach.