جست‌وجوی استاد و پژوهشگر

Knut Haaseمشاهده پروفایل

استاد

• Logistics
• Transport Economics
• Production Planning
• +۷ مورد دیگر

Prof. Knut Haase holds the position of Professor at the University of Hamburg Business School's Institute of Logistics, Transport and Production. He is affiliated with the University of Hamburg in Hamburg, Germany, and his office is located in Room 2033. His contact information includes the email knut.haase@uni-hamburg.de and telephone number +49 40 42838 9026. Office hours require prior arrangement via email with his team assistant. His research focuses on transportation systems optimization, production planning in manufacturing industries, and facility location strategies in public services. Specific areas of interest include: Logistics and supply chain management Transport economics and urban mobility solutions Healthcare facility location modeling Operations research applications in public safety Mathematical programming for production scheduling Event management and crowd safety optimization His recent work exhibits strong trends in applying optimization algorithms to: Public transportation networks Large-scale event logistics (e.g., FIFA World Cup, Hajj pilgrimage) Healthcare and police service district planning Brewery production systems Academic program evaluation in business schools Analyses often combine simulation methods with spatial and stochastic modeling techniques. Prof. Haase has advised multiple institutions including DB Schenker, Lufthansa Technical Training, and Bosch GmbH. His research collaborations involve: Development of decision support systems for production planning Optimization of crew scheduling in transportation sectors Revenue-maximizing tariff zone designs He leads research teams focusing on: Transport economics within the Institute of Logistics Mathematical modeling for public sector challenges Logistics optimization in manufacturing and service industries

Leonard Heiligمشاهده پروفایل

پژوهشگر

• Digital Twin Technology
• Maritime Logistics
• Blockchain Applications
• +۵ مورد دیگر

Dr. Leonard Heilig is a Researcher at the Institute of Information Systems within the University of Hamburg Business School at the University of Hamburg. His work focuses on integrating advanced technologies such as digital twins, blockchain, and cloud computing into maritime logistics and port operations. He is affiliated with the Von-Melle-Park 5 office in Hamburg and can be reached at leonard.heilig@uni-hamburg.de . He holds a Ph.D., though specific educational details are not provided in the text. His research interests include optimizing automated container terminals, reducing environmental emissions in ports, and enhancing enterprise architecture management through agile methodologies. He has contributed to frameworks for port-centric information management and inter-terminal truck routing, emphasizing real-time data utilization and sustainability. His recent publications highlight trends in digital twin applications for port operations, blockchain integration in maritime logistics, and cloud-based optimization solutions. While no scientific awards are explicitly listed, his work demonstrates significant contributions to smart port systems and digital transformation in logistics. He collaborates within the Institute of Information Systems team and has been involved in projects like port-IO , a mobile cloud platform for truck routing optimization. Grants and advising roles are not detailed in the provided texts.

• Machine Learning
• Causal Inference
• High-Dimensional Statistics
• +۲ مورد دیگر

Malte Kurz is a researcher affiliated with the University of Hamburg Business School, specifically within the Department of Statistics. His primary role was as a Researcher under the Professorship of Statistics with Applications in Business Administration. He holds a PhD in Statistics from Ludwig-Maximilians-Universität München (2018), an M.Sc. in Statistics from LMU Munich (2013), and a B.Sc. in Mathematical Finance from Universität Konstanz (2011). His research interests focus on Machine Learning , Causal Inference , High-Dimensional Statistics , Financial Econometrics , and Dependence Modelling & Copulas . He has contributed to advancements in vine copula theory, distributed machine learning frameworks, and state space models. Key publications include works on vine copula simplifications (2019), low-dimensional Kalman smoothers (2018), and distributed double machine learning architectures (2021). He has developed influential software tools like the pacotest R package for copula hypothesis testing and the DoubleML framework for Python/R. Kurz has also contributed to open-source projects such as the VineCopulaMatlab toolbox and the SSMwLS MATLAB package for state space modeling. His work bridges statistical theory and computational implementation, with applications in finance and econometrics.

• Maritime Economics
• Logistics Engineering
• Sustainability
• +۳ مورد دیگر

Yang Yang is a Researcher and PhD student at the University of Hamburg Business School's Maritime Economics Research Center since 2019. She holds a B.Sc. in Logistics Engineering from Changsha University of Science & Technology (2015) and an M.Eng in Logistics (focusing on port operations) from Shanghai Maritime University (2017). Her work includes roles as a logistics planning engineer in an automotive company (2015–2017). Her research focuses on maritime logistics optimization, carbon emissions reduction in transportation and port operations, and environmental science dynamics in river systems. Key areas include port connectivity, shipping networks, and sustainable infrastructure strategies. Recent studies analyze carbon emissions in river basins (e.g., Pearl River, Elbe River), the impact of land use on CO₂ outgassing, and optimization of container terminal operations. Her work bridges environmental sustainability with industrial logistics, addressing both natural and anthropogenic factors in global supply chains. Yang has no listed awards but contributes actively to interdisciplinary research at the intersection of maritime economics and environmental science. She collaborates with the Maritime Economics Research Center and engages in doctoral studies exploring sustainable port logistics.

Gunnar Stevensمشاهده پروفایل

استاد

• Consumer Informatics
• Human-Computer Interaction
• Privacy
• +۳ مورد دیگر

Gunnar Stevens is a Professor and Divisional Director of IT-Security and Consumer Computing at the University of Siegen's Faculty of Information Systems and New Media. His research focuses on consumer-oriented technologies, including privacy-enhancing systems, human-robot interaction, sustainable mobility solutions, and explainable AI. Dr. Stevens' work bridges technical security with human-centered design, investigating topics such as algorithmic accountability in dating apps, digital sovereignty, privacy norm formation through gamification, and sustainable transportation behavior. Recent projects examine the digitalization of household administrative labor and renewable energy preferences for EV charging. He has led numerous projects on usable security policies, smart home intelligibility, and trust in voice assistants. His methodological approach combines design studies, living lab implementations, and empirical evaluations of technology adoption.

Bruce Thomasمشاهده پروفایل

پژوهشگر

• Geodesy
• Natural Hazards
• Tsunami Detection
• +۴ مورد دیگر

Bruce Thomas , M.Sc., is a Scientific Employee at the Institute of Geodesy within the University of Stuttgart . His research focuses on geodesy, natural hazards, and disaster risk reduction, particularly leveraging GNSS (Global Navigation Satellite Systems) technology for tsunami detection and coastal vulnerability analysis. He contributes to advancing early warning systems and spatial analysis methodologies for mitigating the impacts of submarine volcanic eruptions, earthquakes, and tsunamis. Thomas’s work emphasizes innovative applications of ship-based GNSS networks to enhance tsunami monitoring capabilities, as well as rapid, cost-effective methods for assessing population and infrastructure exposure to natural hazards. His research spans diverse geographic regions, including the South Sandwich Islands, Tonga, Alaska, and New Caledonia. He collaborates on projects involving seafloor geodetic constraints, spatial discretization of cultivated landscapes, and high-resolution mapping of coastal hazards. His recent publications highlight advancements in tsunami detection algorithms, cargo ship network optimization for hazard monitoring, and the development of tools for community-level risk perception and mitigation strategies. Thomas’s interdisciplinary approach bridges geophysics, remote sensing, and GIS applications to address global challenges in environmental and coastal resilience. Currently, he is affiliated with the Institute of Geodesy at the University of Stuttgart, where he actively engages in research, technology development, and academic collaboration through platforms like ORCID, ResearchGate, and LinkedIn.

Pascal Grittmannمشاهده پروفایل

پژوهشگر ارشد

• Global Illumination
• Monte Carlo Rendering
• Importance Sampling
• +۲ مورد دیگر

Dr. Pascal Grittmann is a Research Fellow in Computer Graphics at Saarland University, specializing in efficient and robust rendering algorithms. His research advances Monte Carlo methods, importance sampling, and bidirectional rendering techniques for global illumination. Current DFG-funded project develops adaptive bidirectional rendering solutions requiring minimal user configuration. Research aims to create universal rendering algorithms balancing efficiency and robustness across diverse scenes. Publications demonstrate innovations in variance-aware sampling, path guiding optimizations, and caustic rendering. Served as Eurographics Symposium on Rendering conference co-chair (2021). Teaching includes practical implementation of rendering techniques using Vertex Connection and Merging methods. Maintains collaborations with international computer graphics researchers.

Sebastian Schmidlمشاهده پروفایل

پژوهشگر

• Distributed Computing
• Data Profiling
• Time Series Anomaly Detection
• +۳ مورد دیگر

Sebastian Schmidl is a Ph.D. researcher at the Information Systems Group (University of Potsdam, Digital Engineering Faculty ). He is also affiliated with the Big Data Analytics Group at Philipps-Universität Marburg . Research Interests : Distributed computing, time series anomaly detection, data profiling, and scalable reactive systems using actor programming. Academic Roles : Supervised multiple master's and bachelor's theses, delivered guest lectures on reproducibility and order dependencies, and contributed to academic reviewing for conferences like SIGMOD and journals like SoftwareX. His recent publications focus on time series anomaly detection , data profiling query languages , and distributed algorithm design . He has collaborated extensively on benchmarking frameworks and optimization techniques for univariate and multivariate time series data.

André Bauerمشاهده پروفایل

پژوهشگر

• Time Series Forecasting
• Cloud Computing
• Performance Engineering
• +۳ مورد دیگر

Prof. Dr. rer. nat. André Bauer is a post-doctoral researcher and group leader at the Chair of Software Engineering (Informatik II) at the University of Würzburg, part of the Faculty of Mathematics and Computer Science. His research focuses on time series forecasting, cloud computing performance engineering, and auto-scaling mechanisms. He leads the Secure Software Systems Group and contributes to the SPEC Research Group and Predictive Data Analytics Group. Education: Bachelor of Computer Science (2012–2014), University of Würzburg Master of Computer Science (2014–2016), University of Würzburg with exchange at Blekinge Institute of Technology Doctoral Researcher (2016–2020), University of Würzburg Research Interests: Bauer specializes in automated hybrid time series forecasting, cloud resource management, reproducible performance evaluation, and proactive auto-scaling systems. His work bridges machine learning, performance engineering, and cloud computing to optimize system behavior and resource utilization. Awards: Summa cum laude doctoral dissertation (2020) Bavarian FameLab Contest winner (2020) Deutschland Stipendium for academic excellence (2014) Teaching & Advising: Coordinates bachelor's courses on Operating Systems and Software Practicum. Supervises bachelor's and master's theses in software engineering and performance analysis. Labs & Groups: Leads the Secure Software Systems Group and serves as Release Manager in the SPEC Research Group, advancing benchmarking standards and predictive analytics tools.

• Recommender Systems
• User Modeling
• Affective Computing
• +۳ مورد دیگر

Marko Tkalcic is a Professor affiliated with the University of Primorska, Slovenia, with a former affiliation at the Free University of Bolzano/Bozen, Italy. His research focuses on recommender systems, user modeling, and affective computing, particularly in the context of music, multimedia, and human-computer interaction. He has contributed to over 118 publications since 2008, spanning journals, conferences, and workshops. His work emphasizes ethical AI, transparency in adaptive systems, and the integration of psychological theories into computational models. Key research areas include hybrid music recommendation systems, emotion and personality-driven recommendations, and the societal impact of AI. Tkalcic has organized and chaired multiple workshops, including HUMANIZE (Transparency in Adaptive Systems) and EMPIRE (Emotions and Personality in Personalized Systems). His recent studies explore eudaimonic/hedonic characteristics in media content and the prediction of user preferences using machine learning. He collaborates extensively with institutions like the University of Trento, TU Wien, and Tilburg University, reflecting his global academic network. Tkalcic’s publications address challenges in algorithmic fairness, user-centric design, and interdisciplinary applications of recommendation technologies. His work bridges computational methods with cognitive and social sciences, aiming to enhance human-centered digital experiences.

Luis Gerhorstمشاهده پروفایل

پژوهشگر

• Distributed Systems
• Operating Systems
• Cyber-Physical Systems
• +۳ مورد دیگر

Luis Gerhorst is a Researcher at the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander-Universität Erlangen-Nürnberg. He focuses on systems software, embedded systems, energy-efficient computing, and security mitigations against transient execution attacks like Spectre. His work spans kernel-level optimizations, carbon-aware cloud systems, and embedded system resilience. Education: Completed Bachelor's and Master's theses in system software at FAU, focusing on system-call aggregation and Linux kernel interrupt handling. Research Interests: His primary areas include operating systems, distributed systems, and energy-aware resource management. Notable contributions include the AnyCall system-call aggregation framework and VeriFence , a Spectre defense mechanism for BPF programs. He also explores carbon footprint modeling in cloud environments through projects like carbond . Publications: Recent work addresses energy-efficient embedded systems (vNV-Heap), power-failure resilient network stacks (PfIP), and reverse-engineering Wi-Fi drivers for energy analysis. His research often bridges hardware-software co-design and environmental sustainability. Grants/Advising: Supervised over 10+ theses on topics like carbon-aware timers, BPF sandboxing, and Rust-based alternatives to BPF. Active in open-source projects like Linux kernel contributions and GitHub repositories for systems research. Labs/Teams: Member of Lehrstuhl für Informatik 4, collaborating on projects related to system software and embedded systems resilience. Maintains active GitLab/ GitHub repositories for research tools and prototypes.

Rainer Müllerمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Operating Systems
• +۳ مورد دیگر

Rainer Müller is a Researcher in the Department of Computer Science 4 (Distributed Systems and Operating Systems) at Friedrich-Alexander University Erlangen-Nuremberg. His work focuses on real-time operating systems (RTOS), embedded systems, and hardware-accelerated scheduling techniques. His research emphasizes safety-critical systems, multi-core architectures, and compliance with automotive standards like AUTOSAR and OSEK. Key research contributions include the Sloth RTOS framework, which leverages hardware-based scheduling and memory protection mechanisms. Müller has collaborated on projects involving Infineon TriCore processors and ARM Cortex-M3 microcontrollers. His teaching responsibilities include system-level programming in C and internship supervision in applied systems software engineering. Publications highlight advancements in multi-core RTOS design, memory protection for safety-critical systems, and time-triggered scheduling algorithms. He has advised multiple theses on topics such as task isolation, communication interfaces for Intel Xeon Phi coprocessors, and OSEK-compliant kernel implementations. His research lab is part of the broader Computer Science 4 group, specializing in distributed systems and operating systems. Collaborations with industry partners (e.g., Infineon) underscore his focus on practical embedded system solutions.

Carolin Wichmannمشاهده پروفایل

استاد

• Molecular Architecture of Synapses
• Auditory Neuroscience
• Electron Microscopy
• +۴ مورد دیگر

Prof. Carolin Wichmann is a Professor at the University Medical Center Göttingen (UMG), leading the Wichmann group within the Institute for Auditory Neuroscience . Her research focuses on the molecular and structural basis of synapse function, particularly at sensory synapses in the inner ear. Using advanced techniques like electron tomography, high-pressure freezing, and optogenetics, her group investigates how synapse architecture relates to functional properties in hearing mechanisms. Research Interests: Electron microscopy-based 3D structural analysis of synapses Optogenetic stimulation of inner hair cells Role of otoferlin and other synaptic proteins in hearing Calcium channel regulation in auditory synapses Developmental maturation of synaptic structures Funding & Projects: Recipient of REACT-EU/ERDF funding (2022-2023) for acquiring advanced STEM tomography equipment Led the ETomoH&H project studying ultrastructural changes in neurological and cardiological diseases Advising & Team: Current lab members: Julius Bahr, Ruchi Modgekar Prominent former members include Dr. Rituparna Chakrabarti and Dr. Jana Kroll Collaborates with multiple groups (e.g., Cretu, Goßler labs) on auditory neuroscience projects Labs & Facilities: Specializes in ultrastructural imaging with state-of-the-art microscopy Develops SynapseNet deep learning tools for synapse analysis Manages the Otoferlin and CABP2 registries for genetic deafness research

Florentin Wörgötterمشاهده پروفایل

استاد

• Computational Neuroscience
• Artificial Neural Networks
• Experimental Neuroscience
• +۳ مورد دیگر

Prof. Dr. Florentin Wörgötter is a Professor of Physics at Georg-August University Göttingen, specializing in Computational Neuroscience and Biophysics. He holds affiliations with the Bernstein Center for Computational Neuroscience and the Computational Neuroscience Group (CNS) . His career includes roles as a visiting professor at institutions like the Academia Sinica (Beijing, China) and KTH (Stockholm, Sweden), and directorships such as leading the INCITE Institute. Research focuses on computational models of neural systems, synaptic plasticity, and visual system dynamics. Active in interdisciplinary fields including brain-machine interfaces and developmental neuroscience. His work bridges experimental and theoretical approaches, with recent publications addressing dynamical systems modeling, unsupervised learning, and infant motor behavior analysis. Notably, he has contributed to frameworks for smart environment control via neural interfaces. Awards section: No specific scientific awards listed in the provided text. Advising/Grants: The text does not explicitly list advised students or grants, though his extensive collaborations suggest active mentorship and funding. Labs/Teams: Leads the CNS Group at Göttingen, affiliated with the Physics of Biological and Complex Systems (IMPRS) and Theoretical and Computational Neuroscience research clusters.

• Bioinformatics
• High-Performance Computing
• Parallel Algorithms
• +۳ مورد دیگر

Lukas Hübner is a Doctoral Researcher at the Karlsruhe Institute of Technology (KIT) and a Visiting Scientist at the Heidelberg Institute for Theoretical Studies (HITS) . He holds a B.Sc. in Molecular Biotechnology from Heidelberg University and an M.Sc. in Computer Science from KIT. His research focuses on integrating computational methods with biological data analysis, particularly in phylogenetic inference, high-performance computing, and parallel algorithm design. He explores fault-tolerant systems, MPI optimizations, and reproducibility in computational workflows. Key research interests include: Parallel algorithms for large-scale phylogenetic analysis Optimization of MPI-based distributed systems Reproducibility in high-performance computing Fault-tolerance mechanisms in parallel algorithms His work often bridges computer science and bioinformatics, addressing challenges in genetic data processing and algorithm scalability. Recent publications emphasize techniques like memoization for genealogical forests and zero-overhead C++ bindings for MPI. He has collaborated on tools like RAxML-NG and ReStore, advancing robust computational methods for phylogenetic studies.