جستجوی استاد راهنمای دانشگاهی

Christian Almederمشاهده پروفایل

استاد

• Supply Chain Management
• Operations Research
• Production Planning and Scheduling
• +۳ مورد دیگر

Prof. Dr. Christian Almeder serves as Professor and Head of the Chair of Supply Chain Management within the Faculty of Business Administration and Economics at Viadrina European University (Frankfurt (Oder), Germany). His research focuses on operations research applications in production planning, logistics, and supply chain optimization, with particular expertise in lot sizing, scheduling, and perishable goods management. He maintains active research output with publications spanning from 1997 to 2023. Almeder's research centers on mathematical modeling of complex production and logistics systems. His primary contributions involve developing heuristic and metaheuristic solutions for capacitated lot sizing problems, multi-level scheduling, and integrated production-distribution planning. Key specialties include handling perishability constraints, lead time uncertainties, and batch processing requirements using genetic programming, simulation-based optimization, and clearing function approaches. His work bridges theoretical operations research with industrial applications in supply chain management. Analysis of his 15 most recent publications (2013-2023) reveals a consistent focus on lot sizing and scheduling, with increasing emphasis on integrated supply chain problems and perishable goods logistics. Methodologically, he combines metaheuristics (genetic programming, simulated annealing) with simulation techniques to address real-world complexities like stochastic processing times and limited buffers. His work demonstrates strong application in production planning parameter tuning, vehicle routing integration, and robust operational planning under uncertainty.

Artemis Alexiadouمشاهده پروفایل

استاد

• Syntax
• Morphology
• Syntax and its interfaces with morphology
• +۵ مورد دیگر

Professor Artemis Alexiadou is a distinguished linguist serving as Director of the Leibniz-Centre General Linguistics (ZAS) and holding an S-Professorship in General Linguistics at the Institute of German Language and Linguistics, Humboldt University of Berlin. She has been affiliated with ZAS and the Institute of German Language and Linguistics since October 1, 2022. Her academic journey began with a degree in Philology specializing in Linguistics from the University of Athens (1986-1990), followed by an MA in Linguistics from the University of Reading (1990-1991), and culminated in a Ph.D. in Linguistics from Universität Potsdam (1994). Professor Alexiadou's research focuses on theoretical syntax and morphology, with particular expertise in syntax and its interfaces with morphology, the lexicon and interpretation, Diachronic Syntax, Language Breakdown and Development, and Heritage Languages. Her work has significantly advanced our understanding of nominalization, verbal alternations, and the syntax-morphology interface. She has held prestigious positions including Professor of Theoretical and English Linguistics at the University of Stuttgart (2002-2015) before moving to Humboldt University. Her recent publications reveal a strong emphasis on Heritage Greek linguistics, examining phenomena such as gender agreement, aspect, and the plural indefinite article across different registers. The publication trends indicate a growing focus on experimental and comparative approaches to heritage language phenomena, particularly in the Greek diaspora communities in the USA and Germany. This reflects her leadership in the Research Unit on (Experimental) Syntax and Heritage Languages (RUESHeL). Gottfried Wilhelm Leibniz Prize (2014) Doctor honoris causa from the Norwegian University of Science and Technology (2016) Member of the Leopoldina, National Academy of Sciences (2014) Member of the Norwegian Academy of Science and Letters (2018) ERC Synergy Grant LeibnizDream (2021-2026) Professor Alexiadou has supervised numerous research projects and currently leads the ERC Synergy Grant LeibnizDream project, which investigates how language compresses thought structures. She serves on multiple scientific boards including the International Research Network Heritage Languages in Europe and the DFG Review Board 104 Sprachwissenschaften. Her editorial work includes membership on the boards of Glossa, Linguistic Inquiry, and Syntax, among others. She directs the Compressor Team at Humboldt University, which focuses on language acquisition and processing.

Elisabetta Galloمشاهده پروفایل

استاد

• Experimental Particle Physics
• High Energy Physics
• Collider Physics
• +۷ مورد دیگر

Prof. Dr. Elisabetta Gallo is a Principal Investigator and Diversity Director at the University of Hamburg and Deutsches Elektronen-Synchrotron (DESY), where she has held a W3 Professorship for Experimental Particle Physics since 2015. She leads research at the CMS experiment of the Large Hadron Collider (LHC) at CERN and contributes to future collider projects. Academic Career : 2015–present: Lead Scientist at DESY and Professor (W3) at University of Hamburg 2007–2014: Senior Staff Scientist at INFN Florence, Italy 1995–2006: Staff INFN Researcher at INFN Florence, Italy 1992–1995: Research Associate at Imperial College London, UK 1989–1992: PhD in Particle Physics at University of Florence, Italy 1982–1989: Diploma in Physics at University of Florence, Italy Institutional Roles : 2023–2025: Collaboration Board Chair of the CMS Collaboration, CERN 2022–present: Member of the Steering Committee, Cluster of Excellence 'Quantum Universe' 2019–present: Member of the Plenary European Committee for Future Accelerators (ECFA) 2015–present: Member of the Academy of Sciences in Hamburg 2015–present: Mentor in the dynaMENT mentoring program, Hamburg 2010–2014: Coordinator of High Energy groups in Florence, Italy 2010–present: International Advisory Committee, DIS Workshop series Research Interests span Experimental Particle Physics with a focus on Higgs boson studies , Dark Matter searches , Top Quark Physics , and quantum chromodynamics . She drives detector upgrade projects like the CASTOR calorimeter and beam condition monitoring systems at CMS and contributes to the University of Hamburg's 'Quantum Universe' Cluster of Excellence. Recent Publications analyze inclusive jet production, charm baryon multiplicity, dimension-6 EFT operators, and detector upgrades. Her work connects collider physics with cosmological implications, particularly in future accelerator design. Scientific Recognition : 2015: Member of the Hamburg Academy of Sciences Education : Diploma in Physics, University of Florence (1989) PhD in Particle Physics, University of Florence (1992) Her group at DESY, the largest German CMS team (90 members), is involved in detector operation, data quality monitoring, and LHC computing as a Tier-2 site. She also contributes to outreach initiatives like 'Art Meets Science' and public talks.

• Probability Theory
• Stochastic Processes
• Quantum Statistical Mechanics
• +۴ مورد دیگر

Prof. Dr. Sabine Jansen is a Professor at the Mathematical Institute of LMU Munich and leads the Working Group on Stochastics and Financial Mathematics . Her research spans Probability Theory , Quantum Statistical Mechanics , and Mathematical Physics , with a focus on cluster expansions, Gibbs point processes, and duality for Markov processes. Email: jansen@math.lmu.de Phone: +49 (0)89 2180 4477 Address: Theresienstr. 39, D-80333 Munich Affiliations: DFG Collaborative Research Center CRC TRR 352, DFG Priority Program SPP2265, Munich Center for Quantum Science and Technology (MCQST) Her research interests include: Stochastic processes and their applications in financial mathematics Quantum statistical mechanics, particularly many-body systems and their collective phenomena Cluster expansions and virial inversion for low-temperature and non-additive systems Duality and intertwining relations in Markov processes Combinatorial approaches to probability and statistical mechanics Recent publications highlight work on: Large deviations and extreme value theory for Weibull-like variables Algebraic methods in continuum particle systems Geometric constraints in hard-particle mixtures Convergence conditions for cluster expansions Quantum quasi-1D jellium and Coulomb systems Applications of Lagrange inversion in combinatorial species She contributes to educational resources through lecture notes and courses, including topics like Quantum mechanics for probabilists and Jump processes . Her group collaborates with international institutions and participates in major research programs.

• Cosmology
• Dark Matter Searches
• Large Scale Structure
• +۲ مورد دیگر

Dr. Esra Bulbul is a Lecturer at the Department of Physics, Faculty of Physics, Ludwig Maximilian University of Munich, and a tenured W2 Research Group Leader at the Max Planck Institute for Extraterrestrial Physics (MPE) in the High Energy Astrophysics Group. She serves as lead scientist for cluster science and cosmology within the SRG/eROSITA collaboration and chairs the consortium's clusters and cosmology team, while also leading the Cosmology and Fundamental Physics Working Group for ESA's NewAthena Space Telescope. She earned her Ph.D. in physics from NASA Marshall Space Flight Center, following postdoctoral fellowships at Harvard & Smithsonian Center for Astrophysics, MIT, and NASA Goddard Space Flight Center. Her research expertise spans cosmology, dark matter searches, large-scale structure formation, and galaxy cluster physics through multi-wavelength survey analysis. Dr. Bulbul's work pioneers methods to map cosmic structure growth and fundamental physics using galaxy clusters as probes, yielding the largest cluster catalog to date and precise constraints on matter distribution. Her innovative approaches to dark matter detection through X-ray signatures have redefined observational cosmology. Her scientific contributions are celebrated through major honors: Mid-Career Prize, American Astronomical Society (2025) Marcel Grossman Award with eROSITA team (2021) ERC Consolidator Grant for DarkQuest project (€2M, 2020) American Physical Society Top Ten Research Highlights (2014 and Decade) University of Alabama Outstanding Research Award (2010) She directs a vibrant research ecosystem with €2M ERC funding and NASA grants exceeding $1M as Principal Investigator, mentoring 8 graduate students across Ph.D. and Master's programs. Her team develops cutting-edge analysis frameworks for next-generation observatories while advancing dark matter detection techniques. Based at MPE's High Energy Astrophysics Group, she leads collaborations with Euclid, Athena, Rubin Observatory, and South Pole Telescope teams. Her DarkQuest project integrates multi-wavelength data to resolve cosmological tensions, with recent work featured in Nature, Scientific American, and BBC News for revealing the universe's clumpy structure and missing baryonic matter.

Martina Maggioمشاهده پروفایل

استاد

• Control Theory
• Cyber-Physical Systems
• Real-Time Systems
• +۴ مورد دیگر

Martina Maggio is a Professor at the Department of Computer Science , Saarland University (since March 2020) and holds a 20% position at the Department of Automatic Control , Lund University (since 2023). Her research bridges control theory with software engineering to address predictability in computing systems. PhD : Politecnico di Milano (completed with work on control-theoretical tools for computing systems) Visiting Graduate Student : MIT CSAIL (collaborated on Self-Aware Computing project) Her research focuses on: Control theory for resource allocation in cloud infrastructures and embedded systems Formal verification of event-triggered systems and deadline misses Robustness of cyber-physical systems under computational faults Automated methodologies for runtime adaptation in software Timing requirements in big data applications Security vulnerabilities in control systems Key article trends include: control-theoretic approaches to computing systems, stochastic modeling of deadline misses, formal verification of timing constraints, and security-aware control algorithms . Scientific recognition: Co-authored paper selected as Most Influential Paper at SEAMS 2025 Best Paper Award at ECRTS 2021 ACM SIGSOFT Distinguished Paper Award (FSE 2020) Outstanding Reviewer (ICPE 2020) Mentorship includes supervising PhD candidates (e.g., Clara Rubeck, Robert Pietsch) and serving as an academic advisor for industry collaborations (e.g., with Bosch Corporate Research). She also contributes to open-source tool development (WeaklyHard.jl) and has held leadership roles like Program Co-Chair for ICCPS 2020.

• Deep Learning Theory
• Mathematical Machine Learning
• Graphical Models
• +۵ مورد دیگر

Guido Montufar is a Full Professor in the Departments of Mathematics and Statistics & Data Science at UCLA since 2024, and Research Group Leader at the Max Planck Institute for Mathematics in the Sciences since 2018. Previously, he served as Associate Professor at UCLA (2022-2024) and Assistant Professor (2017-2022). His academic journey includes postdoctoral positions at MPI MIS and Pennsylvania State University, following his PhD at MPI MIS/Leipzig University. Montufar's research spans deep learning theory, mathematical machine learning, graphical models, information geometry, and algebraic statistics. His work investigates the geometric and combinatorial properties of neural networks, optimization landscapes, and theoretical foundations of deep learning. He has made significant contributions to understanding the expressive power of neural architectures, implicit regularization, and the geometry of loss surfaces. His recent publications (2023-2025) demonstrate a strong focus on theoretical aspects of deep learning, with particular attention to neural network geometry, optimization properties, and mathematical frameworks for understanding learning phenomena. His work often bridges abstract mathematical concepts with practical deep learning challenges, examining topics like low-rank gradient structures, linear regions in ReLU networks, and topological aspects of message-passing architectures. ERC Starting Grant: Deep Learning Theory 2018-2023 DFG SPP 2298 Theoretical Foundations of Deep Learning NSF CAREER: Neural Networks in the Practical Regime 2022 Sloan Research Fellowship NSF Collaborative Research: RI: Medium: MoDL DARPA AIQ: Constraints for Provable Extrapolation Montufar actively advises PhD students, with a current cohort including Hao Duan, Kedar Karhadkar, and Shuang Liang. His Mathematical Machine Learning Group fosters collaboration between UCLA and MPI MIS, providing students with access to both American and European research networks. The group focuses on rigorous mathematical approaches to understanding modern machine learning systems, with emphasis on geometric and information-theoretic perspectives. Leading the Mathematical Machine Learning Group at MPI MIS and maintaining an active research program at UCLA, Montufar has established himself as a leading figure in theoretical machine learning. His dual appointments facilitate international collaboration and provide unique opportunities for students to engage with both West Coast academic networks and European research institutions.

Kristina Czuraمشاهده پروفایل

دانشیار

• Development Economics
• Microfinance
• Applied Microeconomics
• +۴ مورد دیگر

Kristina Czura is an Associate Professor at the University of Groningen where she serves as Program Director of the MSc Economics program. She is affiliated with the Faculty of Economics and Business, Department of Economics, Econometrics and Finance. Her research focuses on three interconnected areas: financial markets and products in low-income countries, incentives and norms in microfinance, and gender-related constraints to labor productivity. As a micro development economist, she employs rigorous empirical methods including randomized controlled trials, natural experiments, and lab-in-the-field experiments, often collecting primary data in low-income countries. Her work bridges development economics, microfinance, applied microeconomics, and experimental behavioral economics. Her recent publications demonstrate a consistent focus on understanding how financial products and health interventions affect economic outcomes in developing contexts. Her research on menstrual health management in Bangladesh represents a significant contribution to understanding the intersection of health, gender, and labor economics. Her research methodology consistently combines theoretical economic frameworks with field experimental approaches, often collaborating with researchers across multiple institutions to address complex development challenges. She has established herself as a rigorous empirical researcher who tackles important development questions with methodological precision, particularly focusing on how financial products and health interventions affect economic outcomes in developing contexts.

• Control Systems
• Switched Systems
• Networked Control Systems
• +۶ مورد دیگر

Marc Seidel, M.Sc., is a Research Assistant at the Institute for Systems Theory and Automatic Control , University of Stuttgart. His work bridges theoretical and applied control systems research, focusing on autonomous mobility and networked control. Research Interests include: Controller design for real-time systems under weakly-hard constraints Switched systems with graph-constrained switching Networked Control Systems Event-triggered consensus schemes Orientation estimation using inertial sensors Publications reflect expertise in autonomous e-scooter control, multi-agent coordination, and sensor-based safety filters. Key themes: control theory, robotics, and sustainable transportation. Teaching Roles at the University of Stuttgart include: SS 2024: Formal Methods in Control SS 2022-SS 2023: Concepts of Automatic Control SS 2022: Nonlinear Dynamics WS 2021/22-WS 2025/26: Lab and project courses Academic Background : M.Sc. in Engineering Cybernetics (University of Stuttgart, 2021), thesis on periodic event-triggered consensus with cooperation from Prof. Dimos V. Dimarogonas (KTH Stockholm) B.Sc. in Engineering Cybernetics (University of Stuttgart, 2015-2019), thesis on trajectory tracking control Professional Engagements : 01/2025-03/2025: Research stay at Department of Automatic Control, Lund University 03/2021-08/2021: Internship at Robert Bosch GmbH (Renningen, Germany) 08/2020-11/2020: Study abroad at KTH Stockholm for master's thesis Projects : Lead responsibility in the Autonomous E-Scooter initiative, integrating control theory into sustainable urban mobility solutions.

Florian Röselمشاهده پروفایل

پژوهشگر

• Optimization under Uncertainty
• Data Science
• Operations Research
• +۴ مورد دیگر

Dr. Florian Rösel is a researcher affiliated with the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He works under the Professorship of Optimization under Uncertainty & Data Analysis led by Prof. Dr. Frauke Liers, focusing on data-driven optimization techniques and their applications in aviation logistics and complex system modeling.

Daniel Tenbrinckمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Biomedical Imaging
• +۶ مورد دیگر

Daniel Tenbrinck is an Academic Councilor and Acting Professor (W3) at the Department of Data Science, Faculty of Natural Sciences, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg). His career spans roles at the University of Münster, ENSICAEN (France), and FAU Erlangen-Nürnberg. He holds a PhD in Computer Science (2013) from WWU Münster. Research Focus: Data Science, Machine Learning, Biomedical Imaging, Variational Methods, Graph Theory, and Numerical Analysis. Recent Publications: Explore hypergraph p-Laplacians, Fourier neural operators for image classification, and Bregman learning frameworks for sparse networks. Awards: Received the 2022 Teaching Award from FAU's Faculty of Natural Sciences and a 2021 performance bonus for outstanding contributions. Secured significant third-party funding, including a €1.98M BMBF grant for "COMFORT" (2024) and a €915k Bavarian Digitalization grant (2023). Teaching: Offers courses in Numerics, Mathematical Image Processing, Inverse Problems, and Data Science seminars. Actively involved in academic program development through grants like the 2023 Innovation Fund for Teaching.

Mario Botschمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• Virtual Reality
• +۷ مورد دیگر

Mario Botsch is a Professor in the Department of Computer Science at the Faculty of Technology, University of Bielefeld. His research focuses on computer graphics and geometry processing, with major contributions to polygonal mesh modeling, virtual reality, and GPU-accelerated rendering techniques. Research Interests: Immersive data visualization in 3D knowledge spaces Virtual reality for historical relationship discovery Point-based rendering and surface splatting GPU-accelerated geometric modeling Mesh processing and multiresolution modeling Surface reconstruction and anti-aliasing Scientific Contributions: Developed Phong splatting techniques for high-quality rendering Created multiresolution frameworks using displacement volumes Innovated feature-sensitive sampling for mesh optimization Pioneered GPU-based tolerance volume analysis for error control Established OpenMesh data structure for polygonal mesh handling

Hartmut Adenمشاهده پروفایل

استاد

• Public Law
• Security Policy
• Data Protection
• +۴ مورد دیگر

Prof. Dr. Hartmut Aden is Professor of German and European Public Law, Public Policy and Public Administration at Berlin School of Economics and Law (HWR Berlin), where he has served since 2009. He currently holds the position of Vice President for Research and previously served as Data Protection Officer (2011-2020). A founding member of the Berlin Institute for Safety and Security Research (FÖPS Berlin), Aden was Deputy Director from 2016-2020 and academic director of the Master International Security Management program. His education includes legal studies at Georg-August University Göttingen and Leibniz University Hanover (1985-1991), Diplôme d'Études approfondies from École des Hautes Études en Sciences Sociales in Paris (1993), and a PhD from Leibniz University Hanover (1997) on police policy in Europe. He passed state legal exams in Lower Saxony (1991) and Hamburg (1997). Aden's research focuses on intersecting domains of public law, security governance, and European integration. Primary interests include multi-level legal systems, police cooperation frameworks, data protection regulations in law enforcement contexts, and accountability mechanisms in public administration. His work critically examines tensions between security policies and fundamental rights, especially regarding surveillance technologies and border controls. His recent publications demonstrate strong emphasis on police governance reform, technological impacts on law enforcement, and EU security integration. Article analyses reveal recurrent themes: constitutional safeguards in policing, data transparency requirements, discrimination prevention mechanisms, and comparative studies of European security architectures. Methodologically, he combines legal analysis with policy evaluation and ethnographic approaches. Key institutional roles include founding the Research Institute for Public and Private Security, leading research projects like MEDIAN (2018-2021) on identity verification technologies and FindMyBike (2017-2019) on stolen vehicle tracking. He maintains active collaborations through research networks including the European Working Group on Normative Systems and COST Action on Police Stops.

Eva Darulovaمشاهده پروفایل

دانشیار

• Programming Languages
• Software Verification
• Program Synthesis
• +۳ مورد دیگر

Eva Darulova is an Associate Professor at the Department of Information Technology, Uppsala University, and Adjunct Faculty at Max Planck Institute for Software Systems (MPI-SWS). Previously held tenure-track faculty at MPI-SWS and completed her PhD at École Polytechnique Fédérale de Lausanne (EPFL) under Viktor Kuncak. Current research: Applications in numerical/embedded domains, program synthesis, software verification, approximate computing Key projects: Blossom (fuzzing), Lassie (HOL4 tactics), Pine (floating-point loops), LTLTalk (robot instruction), Incarnate (3D printing), Icing (compiler semantics), Flipper (NLP interface), FloVer (error checking), Daisy (accuracy analysis), Rosa (real compiler) Teaching: Program Design (2021/22), Program Synthesis (2021), Program Analysis (multiple years), Advanced Program Analysis (2019), Static Program Analysis (2017), Approximate Computing seminar (2016) Service: Artifact evaluation chair (ASPLOS'22), PC member (ECOOP'22, ESEC/FSE'22, EMSOFT'21, PLDI'21) Research Trends: Focus on numerical computing verification, approximate computing frameworks, and program synthesis techniques. Publications span TACAS, EMSOFT, ISSTA, POPL, CAV, FMCAD, TOPLAS, with emphasis on floating-point error analysis, mixed-precision optimization, and compiler verification. Scientific Recognition: Nominated for EAPLS best paper award (TACAS'21). Co-advisor for Anastasiia Izycheva and mentor for multiple MSc/BSc students including Mustafa Hafidi, Joachim Bard, Nikita Zyuzin, Youcef Merah, Safya Alzayat, Anastasiia Izycheva. Collaborations: Works with researchers at EPFL, MPI-SWS, University of Saarland, University of Washington, and Saarbrücken/Kaiserslautern institutions.

• Theoretical Computer Science
• Formal Verification
• Software Systems Verification
• +۵ مورد دیگر

Georg Zetzsche is a tenure-track faculty member at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany, where he heads the Models of Computation group. He joined MPI-SWS in November 2018 after postdoctoral positions at IRIF, Université Paris-Diderot (2017-2018) and LSV Cachan (2015-2017). He received his PhD in Computer Science from Universität Kaiserslautern under the supervision of Prof. Dr. Roland Meyer in 2015, with a dissertation in the Concurrency Theory Group. His research focuses on theoretical foundations of verification and synthesis of software systems, with particular emphasis on decidability and complexity issues of infinite-state systems. His work explores synthesis of finite-state abstractions of infinite-state systems (including separability problems, downward closures, and Parikh images), as well as decision problems for infinite groups where he applies methods from verification to gain insights on how to devise infinite-state models with pleasant analysis properties. Zetzsche's research output demonstrates expertise across formal verification, theoretical computer science, and programming language theory. His publications reveal a consistent focus on vector addition systems, reachability analysis, language theory, and decidability questions. His work often bridges theoretical foundations with practical verification problems, particularly in the context of infinite-state systems where traditional verification techniques face significant challenges. 2025 Salomaa Prize ERC Starting Grant for project FINABIS EATCS Best Paper Award at ETAPS 2023 EAPLS Best Paper Award at ETAPS 2021 Distinguished Paper Award at POPL 2021 EATCS Distinguished Dissertation Award He actively serves on program committees for major conferences including LICS 2026, MFCS 2025, DLT 2024, ICALP 2024, POPL 2024, LICS 2023, and many others. He has organized events such as Theorietag 2023 on automata and formal languages. His current group at MPI-SWS includes PhD students Pascal Baumann, Pascal Bergsträßer, Irmak Sağlam, Lia Schütze, and Yousef Shakiba, along with postdocs Moses Ganardi and Chris Köcher.