جست‌وجوی استاد و پژوهشگر

Ulrike Wallrabeمشاهده پروفایل

استاد

• Microsystems Engineering
• Nanotechnology
• Adaptive Optical Systems
• +۴ مورد دیگر

Prof. Ulrike Wallrabe is the Head of the Institute of Microsystems Engineering (IMTEK) at Albert-Ludwigs-University of Freiburg. Her research focuses on microsystems engineering, adaptive optical systems, and energy harvesting technologies. She leads projects such as ECOSENSE, developing distributed sensor networks for environmental monitoring. Her work integrates MEMS, nanotechnology, and wireless power transfer to advance applications in biomedical imaging, renewable energy, and smart materials. Key research interests include cooperative microactuator systems, multistable magnetic actuators, and optomechanical devices. She has pioneered adaptive lenses and prisms for high-resolution microscopy and scanning systems. Her contributions to sensor networks and energy-efficient systems address challenges in environmental science and biomedical engineering. Publications highlight breakthroughs in triboelectric nanogenerators, acoustic wireless power transfer through metal barriers, and real-time light field deconvolution. Her research emphasizes interdisciplinary approaches, combining physics, materials science, and computational modeling to solve complex engineering problems. Affiliations: IMTEK, Albert-Ludwigs-University of Freiburg Notable Projects: ECOSENSE, LivMatS Colloquium series

Samora Okujeniمشاهده پروفایل

مدرس

• Neuroscience
• Neuronal Networks
• Structural Plasticity
• +۵ مورد دیگر

Samora Okujeni is a Lecturer and Academic Council Member (Akademischer Rat) in the Department of Microsystems Engineering (IMTEK) at the University of Freiburg, Germany. His research focuses on activity-dependent self-organization and structure-function relationships in neuronal networks, particularly investigating how morphological and functional dynamics emerge from local interactions between neurons. He holds a Doctor Rerum Naturalium (PhD) from the University of Freiburg (2013), following studies in Biology (2000–2007). Research Interests: Okujeni explores how structural plasticity (e.g., neuronal migration, neurite outgrowth) and network architecture coevolve with activity patterns. Key areas include homeostatic regulation of network activity, the role of inhibition in network development, and the morphogenic impact of external stimulation. Techniques employed include microelectrode array (MEA) recordings, calcium imaging, optogenetics, and computational modeling. Grants & Awards: He leads a DFG-funded project (2022) investigating excitatory-inhibitory interactions in neuronal network structure. His 2009 stipend from the Sloan-Swartz Foundation supported participation in Harvard’s Brain Science conference. Labs & Collaborations: Affiliated with the Biomicrotechnology Lab at IMTEK, he collaborates on projects combining experimental and computational approaches to study neuronal network dynamics. His work bridges neuroscience, engineering, and computational modeling to understand self-organization principles in biological systems.

Philipp Warodeمشاهده پروفایل

پژوهشگر

• Operations Research
• Optimization Algorithms
• Network Flows
• +۳ مورد دیگر

Dr. Philipp Warode is a researcher in the AI in Economics department at the Faculty of Economics , Humboldt University of Berlin. His primary role involves research and teaching in mathematical economics and optimization. He currently leads the Unsplittable Flows project (2025-2028) as a Principal Investigator (PI) alongside Martin Skutella. Teaching focuses on mathematics for economics students, including: Lecture Mathematics I/II series since 2020 Preparatory mathematics courses for bachelor/master students Operations Research fundamentals Research interests center on optimization algorithms , network flows , and algorithmic game theory , with notable contributions to scheduling algorithms, combinatorial optimization, and equilibrium computation in congestion games. Notable projects include collaborations on Homotopy Methods for Dynamic Flows (2022) and Flow Preserving Graph Contractions (2020-2021). His work is published in top venues such as SIAM Journal on Computing and Mathematical Programming Series B .

Silke Ospelkaus-Schwarzerمشاهده پروفایل

استاد

• Quantum Optics
• Ultracold Atoms and Molecules
• Molecular Physics
• +۳ مورد دیگر

Prof. Silke Ospelkaus-Schwarzer holds a Professorship at the Institute of Quantum Optics, part of the Faculty of Mathematics and Physics at Leibniz University Hannover. She leads the Molecular Quantum Gases research group and serves on the Executive Board of the Institute. Her work focuses on ultracold quantum gases, molecular dynamics, and precision control of atomic and molecular systems. Key areas include the study of polar molecules, Feshbach resonances, and quantum state engineering. Research interests span ultracold molecules, quantum optics, and atomic physics, with a particular emphasis on applications in molecular cooling, trapping, and collision dynamics. She has pioneered studies on diatomic molecules like NaK and CaF, exploring their quantum behavior in optical lattices and under controlled external fields. Her publications highlight advancements in molecular magneto-optical traps, Zeeman slowing techniques, and theoretical models for few-body loss processes. These studies contribute to foundational understanding of quantum systems and potential applications in quantum technologies and precision measurement. As group leader, she oversees experimental and theoretical efforts in manipulating ultracold quantum systems, with implications for quantum computing and chemical reaction control at ultralow temperatures.

Till Tantauمشاهده پروفایل

استاد

• Computational Complexity
• Parameterized Algorithms
• Bioinformatics
• +۴ مورد دیگر

Prof. Dr. Till Tantau is a Full Professor of Theoretical Computer Science at the University of Lübeck , Germany. He has served as Dean of Studies for the Faculty of Technology and Natural Sciences (MINT sections) since 2008 and chairs the Scientific Advisory Board of the German National Computer Science Competition from 2014. His research focuses on computational complexity, parameterized algorithms, and bioinformatics, particularly logspace problems and descriptive complexity theory. Born 1975 in Berlin, Germany 1994–1999: Studied at TU Berlin 1999–2005: Research Assistant at TU Berlin 2003: Doctorate in Natural Sciences (Dr. rer. nat.) at TU Berlin 2004: Research stay at ICSI, Berkeley with Richard Karp 2005: Appointed W2 Professor at University of Lübeck 2015: Promoted to W3 Professor (highest professorial rank in Germany) His research interests include: Computational Complexity: Logspace problems, weak cardinality theorems, and structural similarities across computation models Parameterized Algorithms: Color coding, kernelization techniques, and parallelization of fixed-parameter tractable problems Bioinformatics: Haplotyping problems under perfect phylogeny models Descriptive Complexity: Logical characterizations of computational problems Graph Algorithms: Shortest/longest paths in series-parallel graphs and smoothed analysis of binary search trees Publications since 2000 demonstrate expertise across theoretical computer science, with 15 recent works focusing on parameterized complexity, parallel algorithms, and applications in bioinformatics. He contributes to algorithmic metatheorems, color coding techniques, and kernelization for hitting set problems. Scientific Awards & Scholarships : 1992: Federal winner of German computer science competition 1993: Silver medal at International Olympiad in Informatics 1993: German National Academic Foundation scholarship 1994: Dr. Habbena Prize for Abitur excellence 1999: Erwin Stephan Prize, TU Berlin 2002: Best student paper award at MFCS 2003: GI Dissertation Prize nomination 2007–2021: Heliprof Teaching Awards (5x recipient) His teaching includes courses on algorithm design, complexity theory, LaTeX/TikZ, and theoretical computer science. He chairs the Scientific Advisory Board of the German National Computer Science Competition and participates in academic governance as Dean of Studies.

• Pharmaceutical Technology
• Dissolution Testing
• Drug Delivery Systems
• +۳ مورد دیگر

Dr. Katharina Prüßmann serves as an Academic Councillor and Postdoctoral Researcher in the Department of Pharmacy at the Faculty of Chemistry and Pharmacy, Ludwig Maximilian University of Munich (LMU). She leads research initiatives within Prof. Olivia Merkel's group since April 2024, following prior postdoctoral work in Prof. Winter's laboratory at LMU (2021-2024). 2006-2010: Pharmacy School, Eberhard Karls University Tübingen 2010-2011: Pharmacy Residency (Retail Pharmacy, Reutlingen-Betzingen) 2011: Board License as Pharmacist & Hospital Pharmacy Residency (University Hospital Tübingen) 2012-2015: Pharmacist in Retail Pharmacy (Hannover) 2015-2021: PhD in Pharmaceutical Technology, University of Greifswald Her research centers on pharmaceutical technology with emphasis on dissolution testing methodologies, drug delivery system optimization, and in vitro performance assessment. She investigates critical parameters affecting drug release from complex formulations including coated medical devices, contributing to standardized testing protocols that bridge laboratory results with clinical outcomes. Current work in Merkel's group expands into advanced nucleic acid delivery systems. Analysis of her publications reveals consistent focus on dissolution science, particularly vessel geometry impacts and medium composition effects on drug release profiles. Her contributions to USP workshops demonstrate leadership in establishing industry standards for in vitro performance testing, with applications spanning cardiovascular implants to novel drug formulations. Dr. Prüßmann actively contributes to Prof. Olivia Merkel's research ecosystem at LMU, collaborating on ERC-funded projects in drug delivery while mentoring junior researchers. Her work integrates pharmaceutical technology with regulatory science to address real-world drug product challenges.

Sebastian Kuckukمشاهده پروفایل

پژوهشگر

• High Performance Computing
• GPU Programming
• Parallel Computing
• +۷ مورد دیگر

Dr. Sebastian Kuckuk is a researcher and head of training at the Erlangen National High Performance Computing Center (NHR@FAU), Friedrich-Alexander-Universität Erlangen-Nürnberg. He is affiliated with the Department of Computer Science and contributes to the Chair of System Simulation. His work bridges research, training, and software development in high-performance computing. Education: PhD in Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (2019) His research focuses on enhancing performance portability and programmer productivity using domain-specific languages, code generation, automatic parallelization, and GPU programming. These techniques are applied to develop massively parallel numerical solvers for computational fluid dynamics, particularly for the shallow water equations. He is a core developer of the ExaStencils framework, which enables automated generation of efficient multigrid solvers for structured and patch-structured grids. Analysis of his recent publications (2020–2025) reveals a consistent focus on code generation, GPU acceleration, and solver optimization for fluid dynamics problems. Key themes include heterogeneous computing, block-structured grids, and adaptive methods. His work integrates advanced compiler techniques with numerical mathematics to improve scalability and performance on modern HPC architectures. Scientific Recognition: NVIDIA Deep Learning Institute (DLI) University Ambassador Certified Instructor for DLI courses in GPU programming and CUDA He actively contributes to teaching and training through courses such as Programming Techniques for Supercomputers and High-End Simulation in Practice . He conducts workshops and tutorials on GPU programming and performance optimization. While no formal students are listed, his mentoring role is evident through collaborative research and training activities. He has no recorded grants in the provided text, but his involvement in NHR and KONWIHR projects indicates active participation in funded HPC initiatives. Laboratories and Projects: Lead developer of ExaStencils , a code generation framework for multigrid solvers Contributor to GHODDESS , a module for higher-order discretizations in shallow water modeling Active in NHR@FAU and KONWIHR projects focused on GPU computing and performance optimization

Ute Dimaمشاهده پروفایل

پژوهشگر

• Nonlinear Optimization
• Optimal Control of Partial Differential Equations
• Inverse Problems
• +۳ مورد دیگر

Dipl.-Math. Ute Dima is a researcher at the University of Duisburg-Essen within the Faculty of Mathematics and Department of Mathematics, actively contributing to Prof. Dr. Arnd Rösch's Nonlinear Optimization Research Group. Her role encompasses both research in advanced mathematical optimization and teaching responsibilities, including leading exercises and seminars during Summer Semesters 2014-2015. Her academic foundation includes a Diplom (Master's) in Mathematics. Research interests focus on nonlinear optimization, optimal control of partial differential equations, and inverse problems, with particular expertise in addressing ill-posedness through regularization techniques and parameter identification in elliptic PDEs. She has developed course materials covering Moore-Penrose inverses, regularization methods, and application examples for her seminar on inverse problems. Analysis of her publications reveals a cohesive research trajectory centered on the mathematical foundations of optimization for PDE-constrained systems. Her 2013-2015 work demonstrates expertise in fractional-order Sobolev space regularization and parameter identification, contributing to robust solutions for ill-posed inverse problems in scientific computing. No scientific awards are documented in the available materials. Information regarding student supervision or grant funding is not provided in the source texts. Dima operates within the Nonlinear Optimization Research Group, a specialized unit under the Department of Mathematics that advances theoretical and applied optimization methods for complex systems governed by partial differential equations, with applications spanning engineering and computational science.

Hans-Martin Henningمشاهده پروفایل

استاد

• Building Energy Technology
• Energy System Analysis
• Renewable Energy Systems
• +۵ مورد دیگر

Professor Hans-Martin Henning is Director of the Fraunhofer Institute for Solar Energy Systems ISE in Freiburg and holds the Chair for Solar Energy Systems at the Institute for Sustainable Systems Engineering (INATECH) within the Faculty of Engineering at the University of Freiburg. He also chairs Germany's Expert Council on Climate Issues and the Fraunhofer Energy Alliance. Education: PhD in Physics from University of Oldenburg (1993) Key Appointments: Director, Fraunhofer ISE (2017-present); Professor, KIT (2014-2017) His research focuses on building energy technology and energy system analysis , particularly holistic simulation and optimization of complex energy systems . He develops low-exergy concepts for heat supply, heat pump systems , and renovation roadmaps for multi-family buildings. His work spans national/regional energy strategies , sector coupling , and hydrogen technologies . Recent publications analyze climate-neutral energy architectures , hydrogen's role , and spatially resolved energy modeling . He contributes to Germany's greenhouse gas emission calculations and EU Green Deal alignment . Teaching activities include Energy in Buildings , Technische Thermodynamik , and Technologie Erneuerbarer Energien .

Laura Schaposnikمشاهده پروفایل

استاد

• Geometry
• Differential Geometry
• Algebraic Geometry
• +۷ مورد دیگر

Laura Schaposnik is a Professor in the Department of Mathematics at the University of Illinois Chicago, where she has held a faculty position since 2015. Her research focuses on geometric properties of mathematical spaces with applications spanning theoretical physics to social sciences. Education: Licenciada en Matemáticas, University of La Plata DPhil, University of Oxford (supervised by Nigel Hitchin) Research Interests: Dr. Schaposnik specializes in moduli spaces of decorated bundles, particularly Higgs bundles and Hitchin systems. Her work integrates algebraic and differential geometry, Lie theory, representation theory, and string theory. Recently, she has expanded into interdisciplinary applications including virology and social cohesion modeling, exploring geometric insights, symmetries, patterns, and network theory approaches to complex systems. Publications Trend: Her recent publications demonstrate an evolving research trajectory from pure mathematical structures toward practical applications in sustainability and social sciences, while maintaining strong connections to fundamental geometric principles. Awards and Recognition: Presidential Early Career Award for Scientists and Engineers (PECASE) Simons Fellowship NSF CAREER Award Alexander von Humboldt Fellowship Academic Service and Grants: Dr. Schaposnik serves on the editorial boards of Notices of the AMS, Nature's Scientific Reports, and Geometriae Dedicata. Her research has been continuously supported by multiple NSF grants. She has held prestigious visiting positions at UC Berkeley/MSRI, All Souls College Oxford, and Institut Henri Poincaré, demonstrating her international recognition in the mathematical community.

• Machine Learning
• Artificial Intelligence
• Speech Processing
• +۶ مورد دیگر

Saeed Amizadeh is a prominent researcher specializing in artificial intelligence and machine learning, currently affiliated with Microsoft's research division. His work spans multiple domains of AI including speech processing, natural language understanding, computer vision, and time series analysis, with a particular focus on developing novel frameworks that bridge symbolic reasoning with neural approaches. Over the past decade, he has established himself as a significant contributor to the field through publications in top-tier conferences including ICASSP, ICLR, AAAI, KDD, and IJCAI. Dr. Amizadeh's research interests primarily center around advancing the theoretical foundations and practical applications of machine learning systems. His work on neuro-symbolic visual reasoning has contributed to understanding how to effectively disentangle visual perception from logical reasoning in AI systems. He has made significant contributions to differentiable programming, particularly in making classical machine learning pipelines fully differentiable, which enables end-to-end optimization of complex ML workflows. His research on speech enhancement using GANs represents cutting-edge work in audio processing, while his time series anomaly detection frameworks have practical applications in numerous industry settings. Analysis of his publication trends reveals a consistent trajectory from theoretical machine learning foundations toward increasingly applied research with practical industrial relevance. His early work (2010-2015) focused on fundamental algorithms and probabilistic modeling approaches, while his more recent publications (2019-2025) demonstrate a shift toward practical AI systems with direct applications in speech processing, audio separation, and enterprise machine learning. A notable theme throughout his career is the development of frameworks that enable more efficient, scalable, and interpretable AI systems. As a key contributor to Microsoft's ML.NET framework, Dr. Amizadeh has played an important role in developing tools that make machine learning more accessible to enterprise developers. His collaborative work spans academia and industry, with notable partnerships with researchers from various institutions as well as within Microsoft Research.

• Immuno-Epidemiology
• Risk Assessment
• Spatial Epidemiology
• +۳ مورد دیگر

Dr. Hannes Bergmann is a researcher at the Institute of Epidemiology (IfE), focusing on complex population systems to optimize sustainable and healthy living conditions. His work bridges veterinary public health and epidemiological modeling, with a specialization in population medicine accredited by the European Board of Veterinary Specialisation (EBVS®). Research Interests: Dr. Bergmann investigates immuno-epidemiology, risk assessment frameworks, and spatial epidemiology to enhance veterinary health strategies and disease prevention systems. Scientific Recognition: He holds the prestigious EBVS® Diplomate status in Veterinary Public Health – Population Medicine, underscoring his expertise in this field.

Hauke Reuterمشاهده پروفایل

دانشیار

• Theoretical Ecology
• Ecosystem Research
• Ecological Modelling
• +۵ مورد دیگر

PD Dr. Hauke Reuter serves as Work Group Leader for Spatial Ecology and Interactions at the Leibniz Centre for Tropical Marine Research (ZMT) in Bremen, Germany, within Programme Area 4 – Ecosystem Co-Design towards a sustainable Anthropocene. Holding a habilitation in Ecology since 2007, he leads research on complex marine ecosystems with emphasis on theoretical approaches and modeling. His academic credentials include: Diploma in Biology (MSc) from University of Kiel (1994) PhD in Ecology from University of Bremen (2000) Habilitation in Ecology from University of Bremen (2007) Reuter's research integrates theoretical ecology with practical conservation challenges, focusing on trophic interactions, food web structure, and biodiversity dynamics in marine systems. His work employs individual-based models and cellular automata to examine cross-scale ecological processes, particularly in coral reefs and seagrass ecosystems. Current investigations address phase shifts in tropical marine habitats under climate change and anthropogenic pressures, with field sites across Southeast Asia and East Africa. This approach bridges fundamental ecological theory with sustainable resource management applications. Analysis of his recent publications reveals strong thematic concentration on marine ecosystem resilience, particularly examining nutrient enrichment effects, species invasions, and socio-ecological dimensions of coastal management. His work demonstrates consistent methodological innovation in ecological modeling while maintaining applied relevance for conservation policy in tropical regions. Reuter contributes to academic training through the International Studies in Aquatic Tropical Ecology (ISATEC) program, teaching courses in ecological modeling, spatial-temporal processes, and specialized topics including biodiversity assessment and environmental risk analysis. His research portfolio includes significant projects such as GeneRisk, SIGMEA, and GenEERA, reflecting interdisciplinary collaboration across ecological, social, and computational domains. As leader of the Spatial Ecology and Interactions working group, he directs integrated research combining field observations with advanced simulation techniques to address Anthropocene challenges in marine ecosystems. The group maintains active field programs in Indonesia, Tanzania, and the Mediterranean, focusing on human-environment interactions in vulnerable coastal zones.

• Self-Organizing Multi-Agent Systems
• Decentralized Coordination
• Distributed Systems
• +۳ مورد دیگر

Prof. Dr. Wolfgang Renz is a faculty member at the Department of Computer Science, Faculty of Mathematics and Natural Sciences, University of Hamburg. He works on decentralized coordination mechanisms in self-organizing multi-agent systems, with applications in demand-side management, logistics, and urban mobility. Current affiliation: University of Hamburg (Informatik) Research focus: Systemic modeling, emergent behavior analysis, and validation of adaptive systems His publications cover topics like ant-colony optimization for energy management, peer-to-peer coordination spaces, and mesoscopic stochastic models for validating agent dynamics. He has supervised several doctoral and diploma theses on related subjects.

• Hydrometallurgy
• Solvent Extraction
• Rare Earth Element Recovery
• +۴ مورد دیگر

Dr. Norman Kelly serves as Head of the Hydrometallurgy Department at the Helmholtz Institute Freiberg for Resource Technology, part of the Helmholtz Center Dresden-Rossendorf (HZDR). His research focuses on advanced metal recovery processes from complex sources including industrial waste streams, electronic waste, and deep-sea mineral deposits. Kelly leads critical work in sustainable resource extraction with emphasis on rare earth elements, lithium, and critical metals essential for modern technologies. His research interests span hydrometallurgical process development, solvent extraction optimization, and novel separation techniques for metal recovery. Key areas include rare earth element purification from eudialyte concentrates, lithium recovery from battery recycling streams , and gallium extraction from red mud . His work integrates chemical engineering principles with environmental sustainability considerations, particularly in developing circular economy approaches for critical materials. Kelly's publication portfolio demonstrates significant contributions to metal recovery technologies, with recent work analyzing trends in deep-sea mining impacts and developing innovative solvent extraction processes. His research shows strong interdisciplinary connections between chemical engineering, environmental science, and materials science, with growing emphasis on sustainable resource governance. Kelly actively collaborates with international research teams across Germany, Vietnam, and other global institutions. His work frequently appears in high-impact journals covering environmental management, hydrometallurgy, and materials science. As department head, he oversees research infrastructure and guides project development in resource-efficient extraction technologies.