جستجوی استاد راهنمای دانشگاهی

Thomas Kirschsteinمشاهده پروفایل

استاد

• Logistics Management
• Supply Chain Sustainability
• Operations Research
• +۴ مورد دیگر

Introduction Prof. Dr. Thomas Kirschstein is a Professor at Martin Luther University Halle-Wittenberg (MLU), affiliated with the Faculty of Law, Economics and Business, and a researcher at the Center for Economics of Materials (CEM), Fraunhofer-Zentrum IMW. His work focuses on logistics, emission management, and robust statistical methods. He holds a PhD in Economics (2014) and a habilitation in eco-oriented logistics management (2020). Education 2002–2003: Diploma in Mathematics at MLU 2003–2008: Diploma in Economics at MLU 2014: PhD in Economics (thesis: 'Integrated Supply Chain Planning in Chemical Industry') 2020: Habilitation (thesis: 'Papers on the Eco-oriented Management of Logistics Operations') Research Interests Kirschstein's research integrates logistics and environmental sustainability, including emission reduction in freight transport, robust statistical methodologies, and supply chain optimization. His work combines simulation-based planning with empirical analysis, addressing challenges in complex production networks and intermodal transportation. Awards and Recognition Christian Wolff Award (2020) for habilitation thesis Werner Kern Award (2013/2014) for production management research Best Paper Award (2013) from the Faculty of Law and Business Administration Teaching and Academic Contributions He teaches courses in production management, logistics, and data science. Notable roles include: Lecturer: 'Production & Logistics' (2014–2019) Organized conferences like Logistics Management 2019 and Robust Statistics 2014 Labs and Collaborations Active collaborations with Dow Olefinverbund GmbH and Fraunhofer IMW, focusing on integrated logistics systems and robust estimator development.

• Computer Vision
• 3D Graphics
• Robotics
• +۴ مورد دیگر

Li Yi is a Professor in the Department of Computer Science at Tsinghua University's School of Information Science and Technology, where they lead cutting-edge research at the intersection of computer vision, 3D graphics, and robotics. Their work focuses on advancing neural rendering, point cloud processing, and embodied AI with applications in human-object interaction and robotic manipulation. Research interests span Computer Vision , 3D Graphics , Robotics , Point Cloud Processing , Neural Rendering , and Human-Object Interaction . Recent work explores language-grounded spatial reasoning, dexterous manipulation, and 4D dynamic content generation, with publications appearing in top venues like CVPR, ICCV, and NeurIPS. Their research bridges theoretical advances with practical applications in embodied AI systems. The publication trends reveal a strong focus on neural rendering techniques (particularly NeRF variants), embodied AI for robotic manipulation , and multimodal understanding integrating vision, language, and action. Recent work increasingly incorporates large language models and focuses on generalizable approaches that transfer from simulation to real-world settings. As an advisor, Professor Li has mentored numerous students including Yunze Liu, Xueyi Liu, Zekun Qi, and Runpei Dong, who frequently appear as first authors on collaborative publications. Their research has been supported by significant grants enabling work on human-robot interaction, 3D scene understanding, and embodied AI systems. Professor Li leads a research group focused on developing comprehensive frameworks for spatial reasoning, object manipulation, and dynamic scene understanding. The team works on creating benchmarks like TACO for tool-action-object understanding and developing systems like MobileH2R for human-robot handover tasks. Current work emphasizes real-world applicability with a focus on generalizable solutions that work across diverse settings.

• Optimal Control of Partial Differential Equations
• Monte Carlo Methods
• Numerical Analysis of Hyperbolic Differential Equations
• +۳ مورد دیگر

Dr. Jan Bartsch is a Lecturer at the Institute of Mathematics , University of Würzburg, specializing in optimal control theory, kinetic models, and numerical methods. His work spans stochastic differential equations, Monte Carlo frameworks, and applications to physics and computational mathematics. Education : PhD in Mathematics (2021-2024, University of Würzburg), Master’s in Mathematics (2016-2018), Bachelor’s in Computational Mathematics (2013-2016). Research interests : Focus on optimal control of partial differential equations, stabilization of kinetic models, and computational methods for stochastic systems. Publications : Recent works include adjoint-based control of jump-diffusion processes, nonlinear operator reconstruction, and Monte Carlo frameworks for plasma control. Collaborations : Works with Stefan Volkwein (University of Konstanz) and Alfio Borzi (University of Würzburg). Skills : Proficient in C/C++, Python, MATLAB, and ParaView for computational tasks.

Elmar Bittnerمشاهده پروفایل

پژوهشگر

• Theoretical Physics
• Quantum Gravity
• Statistical Mechanics
• +۳ مورد دیگر

Elmar Bittner is a theoretical physicist and Researcher at the Institute for Theoretical Physics (ITP) at the University of Heidelberg. He also serves as the administrator of the institute's computer network. His academic background includes a PhD in Physics from Vienna University of Technology (2001) and a Dipl.-Ing. (equivalent to MSc) from the same institution (1998). He has held postdoctoral positions at the Institute of Atomic and Subatomic Physics in Vienna and the University of Leipzig, where he also served as Akademischer Rat (Senior Lecturer) and Head of IT. His research focuses on quantum gravity, lattice models of two- and four-dimensional systems, phase transitions in statistical mechanics, and Monte Carlo simulation techniques. Notable contributions include studies on vortex dynamics in lattice Higgs models, eigenvalue spectra in QCD, and the development of parallel tempering algorithms. Bittner has also explored applications of statistical physics to social phenomena, such as football goal distributions. His publications span topics like Ising model dynamics, critical phenomena, and random matrix theory. He has collaborated with institutions such as the University of Leipzig, Brunel University, and INFN (Italy), contributing to international conferences and workshops. Despite no listed awards, his work reflects significant contributions to theoretical physics and computational methods. Bittner’s roles include managing the ITP’s technical infrastructure, reflecting his dual expertise in theoretical physics and computational administration.

• Parallel Computing
• Group Theory
• Lattice Field Theory
• +۴ مورد دیگر

Werner Wetzel serves as a Professor within the Department of Theoretical Physics at Heidelberg University, where he has been actively involved in teaching and research. His academic contributions are evident through a series of specialized courses delivered between 2004 and 2009, covering advanced topics in theoretical physics and computational methods. These courses include Parallel Programming with MPI or Threads for BW-Grid-like systems, Group Theory, Lattice Field Theory and Numerical Simulations, Loop Quantum Gravity, Quantum Monte Carlo, and Quantum Mechanics with a focus on interpretation questions and mathematical foundations. His research expertise spans several critical areas of theoretical physics, particularly emphasizing computational approaches. Key fields of interest include Parallel Computing for high-performance physics simulations, Group Theory applications in physical systems, Lattice Field Theory and associated numerical simulation techniques, Quantum Gravity (with specific work in Loop Quantum Gravity), Quantum Monte Carlo methods, and the foundational aspects of Quantum Mechanics. Prof. Wetzel's course on parallel programming demonstrates his commitment to integrating cutting-edge computational tools, such as MPI and threading models, into physics research, addressing practical challenges in parallelization, debugging, and optimization for large-scale simulations. Despite the detailed course descriptions and teaching materials provided, the available texts do not mention any scientific awards, honors, or fellowships attributed to Prof. Wetzel. Similarly, there is no information regarding his supervision of students (PhD, Master's, etc.) or details of research grants he may have secured. His institutional affiliation is clearly with the Institute of Theoretical Physics at Heidelberg University, situated at Philosophenweg 16 in Heidelberg, Germany, which serves as the hub for his academic activities.

• Cyber-Physical Systems
• Modeling and Simulation
• Software Testing
• +۳ مورد دیگر

David Marson is a Researcher at the Chair of Software & Systems Engineering (Prof. Pretschner) at the Technical University of Munich since September 2022. He holds a Master's in Aerospace Engineering and has industry experience as a systems engineer. His research focuses on cyber-physical systems (CPS), modeling and simulation (M&S), scenario-based testing, and drone swarm controllers, particularly in generating test cases for cooperating UAVs. Teaching: He contributes to courses such as Systems Engineering (IN8015) and Scenario-Based Testing of Cyber-Physical Systems . He oversees thesis projects in UAV swarm robustness, search-based testing, and autonomous systems quality attributes. Key Projects: INVOLVED IN RESEARCH INITIATIVES LIKE SUPPRA (Algorand Center of Excellence), TAPFER, AND SCENARIO-BASED TESTING METHODS. Advising: Supervised theses include Inaccuracies in UAV Awareness (Bachelor's), Development of Robust UAV Route Planners (Master's), and Testing Collaborative UAV Safety (Bachelor's). Ongoing projects focus on swarm controller robustness and component failure scenarios. Labs/Teams: Active in CPS testing and UAV swarm research within the Chair's collaborative environment.

• Algebraic Geometry
• Low-Dimensional Topology
• Machine Learning
• +۳ مورد دیگر

Benjamin Ruppik is a researcher at the Chair of Algebraic Geometry within the Faculty of Mathematics and Natural Sciences at Heinrich-Heine-Universität Düsseldorf. His work bridges pure mathematics and applied machine learning, focusing on topology-driven approaches to computational problems. He holds a PhD (2022) and a Master's in Mathematics (2018), with expertise in low-dimensional topology and its intersections with natural language processing and dialogue systems. Research Interests Algebraic Geometry 4-Manifold Topology and Homotopy Classification Applications of Topology in Machine Learning Dialogue Systems and Emotion Recognition Active Learning and Label Correction Recent Research Trends Ruppik's recent articles emphasize integrating topological methods into machine learning frameworks, particularly in analyzing latent spaces of language models and enhancing dialogue systems with emotion-aware components. His work on 4-manifold classification demonstrates foundational contributions to geometric topology. Awards and Grants No specific awards or grants mentioned in the provided text. Labs and Collaborations Part of the Chair of Algebraic Geometry at HHU, collaborating on projects merging pure mathematics with computational applications.

• Magnetic Particle Imaging (MPI)
• Tomographic Imaging
• Image Reconstruction
• +۳ مورد دیگر

Prof. Tobias Knopp is a Professor of Experimental Biomedical Imaging at Hamburg University of Technology (TUHH) and the University Medical Center Hamburg-Eppendorf (UKE). He leads the Institute for Biomedical Imaging and serves as Editor-in-Chief of the International Journal on Magnetic Particle Imaging (IJMPI). His expertise spans tomographic imaging, image reconstruction, and signal processing with a focus on Magnetic Particle Imaging (MPI). Education: Diplom in Computer Science (University of Lübeck, 2007) PhD in Biomedical Imaging (University of Lübeck, 2010) awarded the Klee Prize (2011) Research Interests: Tomographic imaging methods, MPI system development, model-based reconstruction, and hardware optimization. His work emphasizes MPI applications in clinical imaging and tracer development. Awards: Klee Prize from DGBMT (2011) for groundbreaking MPI research. Key Contributions: Pioneered the first commercial MPI system, developed open-source reconstruction frameworks (e.g., MRIReco.jl), and advanced MPI for real-time clinical applications. His research bridges theoretical models with practical hardware implementations.

Samuli Reijulaمشاهده پروفایل

دانشیار

• Philosophy of Science
• Cognitive Science
• Scientific Problem Solving
• +۷ مورد دیگر

Samuli Reijula is a University Lecturer in Theoretical Philosophy at the University of Helsinki, holding a permanent faculty position equivalent to US associate professor. He is also a docent (habilitation / adjunct professor) in Practical Philosophy and an Academy Research Fellow. Reijula is affiliated with the TINT Centre for Philosophy of Social Science and specializes in the philosophy of science, cognitive science, and institutional epistemology. His research focuses on how science works as a distributed cognitive system, examining scientific problem-solving at multiple levels from individual scientists to research groups and scientific communities. Reijula investigates cognitive diversity, coping with uncertainty, epistemology of simulation modeling, foundations of scientific classification, and issues related to the science of science, scientific discovery, and science policy. He is particularly interested in viewing science as a collective cognitive system and understanding the social, cognitive, and institutional preconditions for well-functioning scientific research. Reijula's recent publications explore topics including objectivity in academic recruitment, AI and epistemic humility, the Fediverse as a solution to epistemic challenges in the AI era, diversity in scientific communities, and the concept of Bildung university. His work often bridges philosophy with practical policy implications, addressing issues like inheritance tax policy, public authorities' use of social media platforms, and the philosophical foundations of open science. He has received research funding from the Academy of Finland for his project 'Modeling the republic of science: Collaborative problem solving and collective rationality in scientific inquiry' (2020-2025). Reijula is scheduled to visit Carnegie Mellon University's Center for Formal Epistemology and Institute for Complex Social Dynamics in October-November 2024. His approach integrates philosophical analysis with computational methods, particularly agent-based modeling, to understand scientific communities as complex adaptive systems.

• Hardware Security
• Cryptographic Circuits
• Formal Methods
• +۳ مورد دیگر

Devanshi Upadhyaya is a Researcher at the Institute of Computer Architecture and Computer Engineering under the University of Stuttgart. Her work focuses on hardware security, cryptographic circuit protection, and formal methods for analyzing vulnerabilities in embedded systems. She is actively engaged in advancing secure hardware design principles through research in side-channel attacks, fault injection, and logic locking mechanisms. Her research interests include cryptographic circuit security, formal verification of hardware systems, and securing neural network accelerators. She has contributed to developing frameworks that assess vulnerabilities in mixed-signal and approximate computing architectures, emphasizing practical defenses against both software and hardware-based attacks. Notable projects include optimizing waveform accurate fault attacks and enabling power side-channel simulations for AI hardware accelerators. Her work bridges theoretical security models with real-world hardware implementation challenges. Devanshi holds a M.Sc. degree and is affiliated with the Hardware Oriented Computer Science department at the University of Stuttgart, where she collaborates on interdisciplinary projects involving cryptography, embedded systems, and machine learning hardware.

Armin Feldhoffمشاهده پروفایل

استاد

• Thermoelectric materials
• Mixed ionic-electronic conductors
• Material microstructure analysis
• +۷ مورد دیگر

Armin Feldhoff is an Extraordinary Professor (apl. Prof.) at the Faculty of Natural Sciences of the Leibniz University Hannover , leading the Thermo-Iono-Electronic Materials and Microstructure Analysis Group within the Institute of Physical Chemistry and Electrochemistry . He has held this position since 2012 and also serves as Department Student Advisor for the Chemistry M.Sc./M.Ed. program. Academic Career : Habilitation in Physical Chemistry (2009), Leibniz University Hannover Ph.D. in Physics (1997), Martin Luther University Halle-Wittenberg Diploma in Physics (1994), Westfälische Wilhelms-University Münster His research focuses on thermoelectric materials , mixed ionic-electronic conductors , and oxygen transport membranes , with expertise in high-resolution electron microscopy (HRTEM, EFTEM, STEM-HAADF) and X-ray diffraction . He has developed advanced ceramic composites for energy harvesting and CO2 conversion systems, emphasizing microstructure engineering and material sustainability . Recent publications highlight trends in: Textured and asymmetric ceramic membranes Electrospun nanoribbons for thermoelectrics Spark plasma sintering/texturing techniques Microemulsion-based synthesis Hydrogen-tolerant oxygen transport systems Mixed-phase stability analysis Scientific awards include the ACerS Global Ambassador (2022), DT Rankin Award (2022), and Luther Medal (1998). He serves on editorial boards for the Journal of the American Ceramic Society , Entropy , and Energy Harvesting and Systems .

Simon Christمشاهده پروفایل

پژوهشگر

• Computational Biology
• Biophysics
• Reproducible Science
• +۴ مورد دیگر

Dr. Simon Christ is a Researcher at the Department of Computational Biology within the Institute of Cell Biology and Biophysics at Leibniz University Hannover's Faculty of Natural Sciences. His office is located in Building 4160, Room 110 at Herrenhäuser Str. 2, 30419 Hannover. He can be contacted via phone (+49 511 762 16174) or email (christ@cell.uni-hannover.de). Christ holds a Doctor rerum naturalium (PhD) from the University of Potsdam (2020) and a Master of Science from Humboldt University of Berlin (2014). His doctoral research focused on morphological transitions of vesicles under nonuniform conditions, while his master's thesis examined non-Markovian systems in statistical physics. His research focuses on computational approaches to biological systems, including: Development of reproducible scientific workflows and open-source tools Agent-based simulations of biological processes Numerical solutions of differential equations in biological contexts Computational modeling of membrane dynamics and vesicle behavior Research software engineering practices and tools He is proficient in multiple programming languages including Julia, C/C++, MATLAB, Mathematica, Python, and R, and is a certified instructor for The Carpentries. Christ's recent publications demonstrate a strong focus on research software engineering, computational biology methods, and biophysical modeling of cellular systems. His work frequently appears in computational biology, biophysics, and software engineering journals, with consistent contributions to open science practices and reproducible research methodologies. No specific awards or student advising relationships are mentioned in the available documentation. His current work appears to be conducted within the computational biology research group at Leibniz University Hannover, with collaborations extending to other institutions including the University of Potsdam and Max Planck Institute.

• Systems Biology
• Stochastic Modeling
• Cellular Dynamics
• +۳ مورد دیگر

Prof. Mukhtar Ullah is a researcher in the Department of Systems Biology and Bioinformatics at the University of Rostock, Germany. He holds a Doctor of Engineering in Systems Biology and a Master of Science in Advanced Control and Systems Engineering. His research focuses on stochastic modeling of biological systems, particularly stem cell populations and biochemical reaction networks. Key interests include incorporating noise into cellular population dynamics and applying Markov processes and large deviation theory. Academic Background: PhD (2009), University of Rostock MSc (2002), University of Manchester BSc (1999), NWFP University of Engineering and Technology Research emphasizes stochastic approaches to understand tissue fate and cell dynamics. Publications span journals like IET Systems Biology and Wiley Interdisciplinary Reviews. Co-authored the textbook Stochastic Approaches for Systems Biology with Olaf Wolkenhauer. His work bridges electrical engineering principles with systems biology, addressing challenges in modeling subcellular processes under uncertainty. Funding: Supported by the University of Rostock and collaborations within the Faculty of Computer Science and Electrical Engineering.

• Metallurgy
• Recycling Technologies
• Foundry Industry
• +۴ مورد دیگر

Prof. Rüdiger Deike is the Chair holder of the Chair of Metallurgy and Forming Technology at the University of Duisburg-Essen. His research focuses on metallurgical processes, raw material markets, recycling technologies, and sustainability in the foundry and steel industries. He leads the Institute for Metal Technologies (ITM), emphasizing innovation in material flow analysis, energy efficiency, and circular economy applications. Key research areas include analyzing global raw material market dynamics, optimizing waste-to-resource systems for foundries, and advancing metallurgical processes for non-ferrous and ferrous alloys. His work integrates numerical modeling of solidification behaviors and process optimization for industrial applications. Publications highlight trends in commodity markets, recycling strategies for valuable materials, and material recovery from industrial byproducts. His interdisciplinary approach bridges technical challenges with economic and environmental sustainability, influencing policy and industry practices. Laboratory and team activities center around the ITM, where research spans experimental and computational methods to address global metallurgical challenges. No specific grants or awards are listed, but his contributions are evident through extensive publication output and institutional leadership.

Deven Estesمشاهده پروفایل

استادیار

• Catalysis
• Surface Chemistry
• Metal Hydrides
• +۲ مورد دیگر

Dr. Deven Estes is an Assistant Professor at the University of Stuttgart's Faculty of Chemistry, affiliated with the Institute of Technical Chemistry. His research focuses on surface chemistry, catalysis, and materials characterization with particular emphasis on immobilized metal complexes and hydride chemistry. Research interests include catalyst design for sustainable energy applications, surface immobilization techniques, and advanced characterization methods including solid-state NMR and X-ray spectroscopy. Recent work explores hydrogen storage, CO2 conversion, and electrocatalyst development. Publication analyses show strong focus on metal hydride characterization, surface confinement effects, and catalytic mechanisms of transition metal complexes, with emerging interests in green chemistry applications and analytical method development. His group develops novel catalytic systems for energy conversion and sustainable chemical synthesis.