Find Academic Supervisors

• Computational Mechanics
• Numerical Simulation
• Shape Optimization
• +12 more

Stefanie Elgeti is Associate Professor and Private Lecturer at the Chair for Computational Analysis of Technical Systems (CATS), Faculty of Mechanical Engineering, RWTH Aachen University. She previously held a professorship in lightweight design at TU Vienna starting in 2019. Her research integrates computational mechanics with manufacturing process optimization, focusing on plastics extrusion, injection molding, and high-pressure die casting. Diploma in Mechanical Engineering, majoring in 'Manufacturing Techniques for Microsystems' PhD (2011): 'Free-Surface Flows in Shape Optimization of Extrusion Dies' Habilitation (2016): 'CAD-Conforming Finite Element Methods in Engineering Design' Her research centers on solving inverse problems in manufacturing through numerical simulation. She employs advanced techniques such as free-surface flow modeling, non-Newtonian material models, spline-based finite elements, and PDE-constrained shape optimization. Her group simulates entire process chains from filling to solidification and warpage prediction, enabling design optimization of cavities and cooling systems. The recent publications (2022–2024) reveal a strong trend toward integrating artificial intelligence—particularly physics-informed neural networks and Bayesian optimization—into traditional simulation workflows. There is increasing emphasis on warpage compensation, shape optimization of extrusion dies, and modeling of biomedical and environmental systems, showcasing a broadening scope from industrial manufacturing to interdisciplinary applications. She is actively involved in academic service, having served as vice-spokesperson of GAMM-Juniors (2013–2014) and currently co-chairing the ECCOMAS Young Investigator Group. While no formal awards are listed, her leadership roles and editorial contributions reflect significant recognition in the computational mechanics community. Prof. Elgeti advises students and leads multiple research initiatives at CATS, including work groups focused on production engineering, fluid-structure interaction, and INTERESST. Her team develops model hierarchies and digital twins for industrial processes, aiming to bridge simulation and real-world manufacturing through intelligent, adaptive systems.

Helena van VorstView profile

Associate Professor

• Chemistry Education
• Science Education
• Context-Oriented Teaching
• +7 more

Dr. Helena van Vorst is a faculty member in the Department of Chemistry Didactics at the University of Duisburg-Essen, within the Faculty of Chemistry. She completed her habilitation in January 2024, solidifying her role as an independent academic leader. She previously served as Acting Professor at the University of Cologne and currently holds the civil service position of Academic Councillor, equivalent to Associate Professor. She is also Managing Director of the Society for Chemistry and Physics Education (GDCP) since 2022 and an elected board member of the Interdisciplinary Center for Educational Research. Doctorate (Dr. rer. nat.) in Natural Sciences, summa cum laude, University of Duisburg-Essen (2012) First State Examination in Chemistry and German for Secondary Education, University of Duisburg-Essen (2009) Habilitation in Chemistry Didactics, University of Duisburg-Essen (2024) Her research centers on improving science education through evidence-based methods. Key interests include context-oriented teaching, where real-world scenarios increase student engagement; structuring learning via 'Lernleitern' (learning ladders) to scaffold understanding; and promoting inclusion in chemistry classrooms. She emphasizes empirical evaluation of teaching innovations and the development of differentiated materials that cater to diverse student needs and interests. The recent publications reflect a strong focus on the effectiveness of structured, context-rich teaching tools. A recurring theme is the use of 'learning ladders' to organize instruction and support differentiation. Studies analyze how context characteristics influence student interest and performance, particularly across gender and cognitive dimensions. Other works explore challenges in scientific language, mathematical modeling in physical chemistry, and inquiry-based learning in inclusive settings. The body of work demonstrates a consistent commitment to bridging theory and practice in chemistry education. Fellow of the Fellowship Program MINT Didactics, Deutsche Telekom Foundation (2018–2023) University Prize for Outstanding Academic Achievements, University of Duisburg-Essen (2013) Waxmann Poster Prize, AEPF Conference (2011) First Prize in Chemistry Program, First State Examination (2010) Doctoral Scholarship, German Research Foundation (DFG) (2010–2012) Dr. van Vorst advises multiple doctoral students across funded projects, including those supported by the Mercator Foundation, Chemical Industry Fund, and RAG Foundation. Her leadership in the Graduate School on Cross-Sectional Issues in Teacher Education (GKqL) and subprojects under Teaching-Learning-Innovations at UDE highlights her active role in shaping teacher training. She develops and disseminates teaching materials, such as digital learning ladders and context-based units on acids and bases, contributing directly to classroom practice. She leads and contributes to research teams focused on inclusive science education, teacher development, and curriculum innovation. Her work with the Interdisciplinary Center for Educational Research and the Society for Chemistry and Physics Education underscores her collaborative and organizational leadership in the academic community.

• Microwave Engineering
• Radar Systems
• Electromagnetics
• +3 more

Prof. Dr.-Ing. Thomas Musch is a Professor in the Department of Electronic Circuit Technology at the Faculty of Electrical Engineering and Information Technology (ETIT), Ruhr University Bochum. His research focuses on advanced radar systems, microwave engineering, and sensor technology. He leads projects like MEDICI, addressing humanitarian applications such as landmine detection using microwave and radar technologies. His work intersects with electromagnetics, signal processing, and semiconductor devices. Education: Academic qualifications not explicitly listed but inferred from his position as a professor. Research Interests: Prof. Musch’s areas include radar system design, millimeter-wave sensors, phase noise analysis in circuits, and applications in industrial automation, plasma diagnostics, and non-destructive testing. His group develops solutions for real-time monitoring of fluids, gases, and bulk materials using radar and electromagnetic techniques. Publications: Over 150 peer-reviewed articles since 2015, emphasizing radar imaging, microwave components, and sensor innovation. Recent work includes ultra-wideband frequency synthesizers, dielectric waveguide characterization, and AI-driven radar data synthesis. Grants & Collaborations: Involved in interdisciplinary projects, including EU-funded initiatives and international collaborations with institutions like Universidad Pontificia Bolivariana (Colombia). His lab focuses on practical applications like plasma state supervision and humanitarian demining. Labs/Teams: Electronic Circuit Technology Lab at ETIT, specializing in radar systems, microwave circuits, and sensor development. Collaborates with industry partners for practical implementation of research.

• Corporate Taxation
• International Taxation
• Public Finance
• +4 more

Prof. Dr. Christoph Spengel holds the Chair of General Business Administration and Business Taxation II at the University of Mannheim. His academic focus lies in corporate taxation, international tax policies, and legal form optimization. He actively contributes to research on cross-border taxation, tax harmonization, and tax reform. Recent engagements include advising on cum-cum transaction regulations and presenting at the North Rhine-Westphalia State Parliament in 2025. Spengel co-authored influential works like *Corporate Taxation and Legal Form* (2015), a standard reference for German company taxation. He leads the MaFAT e.V. initiative, fostering collaboration in accounting and taxation education. His research spans global minimum tax, EU tax base harmonization, and tax incentives for innovation.

Jürgen BechtloffView profile

Professor

• Mechatronics
• Automation Technology
• Digital Production
• +3 more

Prof. Dr.-Ing. Jürgen Bechtloff serves as Professor of Measurement, Control and Regulation Technology at the South Westphalia University of Applied Sciences since 1998. He has held significant administrative roles including Founding Dean of Mechanical and Industrial Economics (2002-2004), Dean of Engineering and Economics (2004-2012), and Head of Scientific Center for Dual Studies and Continuing Education (2012-2019). His academic career spans industrial experience at Klöckner-Moeller GmbH (1992-1998) and academic research at TU Braunschweig (1987-1992). Education: Diplom from TU Braunschweig (1987), Dr.-Ing. from TU Braunschweig (1992) Laboratory: Operates the TransferFactory Industry 4.0 demonstrator since 2013 Research Focus: Industrial automation systems, particularly in Industry 4.0 implementation, Digital Production methodologies, and Mechatronic Systems simulation. His work emphasizes practical solutions for real-world challenges in: IoT gateway and platform integration Feasibility studies and implementation support Control engineering and measurement technology Electronics cam systems for motion control Robotic programming and interpolation methods Publication Trends: 15 most recent publications (2000-2020) demonstrate consistent focus on Industry 4.0 implementation, Mechatronics , and Digital Production technologies. His work bridges theoretical concepts with practical applications through case studies and demonstrator projects like the TransferFactory system. Teaching Contributions: Coordinates courses in Mechatronic Systems and Simulation and Digital Production for both bachelor and master programs, with emphasis on project-oriented learning and practical implementation of automation concepts using modern tools like MATLAB/Simulink. Technology Transfer: Provides services in measurement technology (data processing/visualization), control engineering (simulation and implementation), and mechatronics (3D motion design, kinematic analysis). Operates with state-of-the-art equipment including Beckhoff TwinCAT, Siemens S7/TIA systems, ABB/Kuka robots, and MES platforms.

Mariana PopescuView profile

Assistant Professor

• Computational Design
• Digital Fabrication
• Sustainable Design
• +6 more

Mariana Popescu is an Assistant Professor for Digital Fabrication at TU Delft's Civil Engineering & Geosciences Faculty. Her research bridges computational design, digital fabrication, and sustainable construction methodologies. Developed KnitCrete textile formwork technology for concrete structures 2019 MIT Technology Review Innovator Under 35 (Pioneer category) 2020 Digital Futures 'Young' Award recipient Research focuses on material-saving fabrication techniques and sustainable construction solutions. She pioneered the award-winning KnitCandela shell system and explores adaptive architectural elements using smart materials. Her work has significant implications for rapid, low-carbon construction in emergency contexts like refugee camps. Scientific awards include: MIT Technology Review Innovator Under 35 (2019) Digital Futures 'Young' Award (2020)

Christoph ZechmeisterView profile

Researcher

• Computational design
• Additive manufacturing
• Lightweight structures
• +2 more

Christoph Zechmeister is a postdoctoral researcher and research group leader in Computational Fibre Architecture at the Institute of Computational Design and Construction (ICD) , University of Stuttgart, Germany. He holds a Master of Science from Vienna University of Technology and a postgraduate Master of Advanced Studies in Architecture and Information from ETH Zurich. Research Interests: Computational design methodologies Additive manufacturing in architecture Fibre composite lightweight structures Cyber-physical systems for prefabrication Notable Projects: Lead contributor to the 2019 BUGA Fiber Pavilion, focusing on high-performance lightweight structures. Active in research projects related to computational design frameworks and cyber-physical fabrication platforms for fibre composites.

Stefan DiebelsView profile

Professor

• Continuum Mechanics
• Material Science
• Finite Element Analysis
• +5 more

Prof. Dr.-Ing. Stefan Diebels is a Professor at the Chair of Applied Mechanics within the Department of Materials Science, Faculty of Natural Sciences and Technology at Universität des Saarlandes. His research group focuses on microstructured continua, developing models for material behavior across scales (metals, polymers, biomaterials) using continuum mechanics frameworks. Experimental work investigates mechanical properties and environmental interactions (e.g., temperature/humidity), validated through finite element simulations. Research Interests: The group’s work spans four key areas: Biomechanics : Fracture healing, orthopedic implant optimization, and biological material behavior. Metals : Multiscale modeling of metallic structures and failure mechanisms. Polymers : Moisture effects, aging, and viscoelastic behavior of adhesives/elastomers. Foams & Metamaterials : Auxetic materials, electrodeposition coatings, and porous media mechanics. Publication Trends (2023-2025): Recent articles emphasize computational biomechanics (fracture healing, digital twins), polymer degradation under environmental stress, and metamaterial design. Over 60% focus on medical applications (implants, trauma recovery), while 30% address material-specific challenges in polymers/metals. Recurring themes include moisture diffusion modeling, finite element validation, and patient-specific simulations. Infrastructure & Collaboration: The chair maintains experimental laboratories for material testing and collaborates on projects like NFDI-MatWerk (National Research Data Infrastructure) and Pro4CableSim (industrial transfer project). Team structure includes scientific/technical staff, with lab capabilities for multiaxial mechanical testing and environmental simulation.

• Database Systems
• Data Privacy
• Machine Learning
• +4 more

Zhenjie Zhang is a Professor in the Department of Computer Science at East China Normal University's School of Computer Science and Software Engineering, with a distinguished research career spanning nearly two decades. His work bridges theoretical computer science with practical industrial applications, maintaining strong international collaborations with researchers from TU Wien, National University of Singapore, and industry partners including ByteDance. Dr. Zhang's research focuses on the intersection of database systems, machine learning, and industrial applications. His early work centered on database privacy and query processing, evolving toward causal inference, fault diagnosis systems, and industrial AI applications. His recent publications demonstrate a strategic shift toward solving real-world engineering problems using advanced machine learning techniques, particularly in manufacturing, transportation, and cloud systems. The consistent publication trajectory across top venues like IEEE TKDE, VLDB, and ACM Transactions shows sustained research excellence and adaptability to emerging technical challenges. His publication record reveals significant contributions to causal inference methods, evidenced by multiple papers on causal discovery and transfer learning. The research demonstrates practical impact through industrial collaborations, particularly in fault diagnosis systems for mechanical equipment and adaptive control for unmanned vehicles. The recent work shows increasing focus on deploying AI models efficiently in resource-constrained environments, reflecting awareness of practical implementation challenges. Dr. Zhang has mentored numerous junior researchers who have become active contributors in the field, including Ruichu Cai and Zining Zhang. His collaborative network spans multiple continents, indicating strong research leadership and international recognition. The consistent flow of publications in top venues suggests successful grant funding and research group management, though specific grant details aren't provided in the source material.

• Data Mining
• Machine Learning
• Text Summarization
• +6 more

Mark Last is a Professor at Ben-Gurion University in Beersheba, Israel, with a distinguished career spanning over three decades in computer science research. His work primarily focuses on data mining, machine learning, and natural language processing applications. His research interests encompass stream data mining, text summarization, fuzzy logic systems, and classification algorithms. Last has made significant contributions to developing techniques for analyzing dynamic data streams, multilingual text processing, and applying machine learning to real-world problems in healthcare, social media analysis, and security informatics. His work often bridges theoretical advancements with practical applications, particularly in handling non-stationary data and developing interpretable models. Recent research trends show a continued focus on stream data analysis, with applications expanding into social media monitoring, healthcare prediction systems, and multilingual content analysis. His work demonstrates consistent innovation in adapting machine learning techniques to evolving data environments and practical challenges. Mark Last has maintained a prolific publication record with over 175 publications documented in DBLP, collaborating extensively with researchers including Abraham Kandel, Marina Litvak, and Oded Maimon. His work has been published in top venues including IEEE Access, Machine Learning journal, and Expert Systems with Applications.

• Algorithms
• Computational Geometry
• Wireless Communication
• +4 more

Stefan Funke is a researcher at the University of Stuttgart, Germany, with a focus on algorithms and computational geometry. His work spans wireless communication, route planning, and trajectory analysis. Research Interests: Algorithms, Computational Geometry, Wireless Communication, Route Planning, Trajectory Segmentation His recent publications (2024-2025) explore topics like 3D epithelial cell dynamics, graph radius computation, and polyline simplification, emphasizing scalability and efficiency. Earlier works (2017-2019) investigate contraction hierarchies, energy-efficient routing, and trajectory storage systems. Stefan collaborates frequently with Sabine Storandt, Claudius Proissl, and Tobias Rupp. He applies geometric methods to problems in wireless networks, road systems, and data structures, with a recurring emphasis on optimization and robustness.

• Data Mining
• Social Network Analysis
• Machine Learning
• +3 more

Jaideep Srivastava is a Professor affiliated with Qatar Foundation (Doha, Qatar), University of Minnesota (Minneapolis, USA), and holds a PhD from University of California Berkeley. His research spans data mining, social network analysis, time series modeling, and health informatics. Recent work focuses on clinical deterioration prediction, sleep research, and computational analysis of pandemic behaviors. Key contributions in clustering algorithms and graph neural networks Active in multimodal learning and misinformation detection His publications from 2024-2022 demonstrate expertise in hierarchical clustering , large language model applications , and health data analytics . Articles often integrate machine learning , social network dynamics , and clinical monitoring systems . Current projects involve Covid-19 in-hospital mortality prediction , virtual influencer analysis , and low-light imaging techniques . Collaborations span institutions in Qatar, USA, and India with applications in urban mobility and precision medicine.

Muhammad El-HindiView profile

Researcher

• Database Systems
• Blockchain Technology
• Secure Data Management
• +5 more

Muhammad El-Hindi is a researcher at the Technical University of Darmstadt , focusing on database systems , blockchain technology , and secure data management . His work bridges theoretical innovation with practical applications in cloud computing, trusted execution environments, and decentralized systems.

Vera KingView profile

Professor

• Sociology and Psychoanalytic Social Psychology
• Digitalization and Society
• Intergenerational Relations
• +6 more

Prof. Dr. Vera King is Professor of Sociology and Psychoanalytic Social Psychology at Goethe University Frankfurt am Main and Managing Director of the Sigmund Freud Institute Frankfurt. She is affiliated with the Department of Social Sciences and Institute of Sociology, where she leads research on the intersection of sociology and psychoanalysis. Her work bridges theoretical frameworks with contemporary social challenges, particularly in the digital age. King's research focuses on the social-psychological analysis of societal developments, their institutional, intergenerational, and individual psychological consequences. She examines the interplay between psychological and social determinants of individual action, exploring theoretical and methodological connections between sociology and psychoanalysis. Her current research addresses social-psychological analyses of crisis phenomena, psychological consequences of digitalization (e.g., in the 'The Measured Life' project), optimization requirements in changing time relations (e.g., in the DFG research project 'Reproductive Timing'), and shifts in pathology and normality in contemporary society. Her recent publications reveal a clear trend examining how digital measurement and optimization transform social relations and individual psyche. King's work investigates how digital technologies create new 'normalities' and 'pathologies,' particularly in social media use, self-tracking practices, and workplace environments. She analyzes the cultural shift toward quantification and how it affects attention, relationships, and self-perception, revealing both productive possibilities and destructive mechanisms in digitally optimized societies. Prof. King supervises Bachelor and Master theses in sociology and social psychology, requiring prior attendance at her 'Sociology and Psychoanalytic Social Psychology' colloquium. She has led major research projects including 'The Measured Life' (funded by Volkswagen Foundation), 'Reproductive Timing' (DFG research project), and participates in the interdisciplinary research cluster 'ConTrust - Vertrauen im Konflikt. Politisches Zusammenleben unter Bedingungen der Ungewissheit.' She leads the research team at the Sigmund Freud Institute and collaborates with prominent scholars including Hartmut Rosa and Benigna Gerisch. Her team conducts interdisciplinary work examining the psychosocial consequences of migration and flight, adolescent trajectories, and generational dynamics. King's approach integrates sociological theory with psychoanalytic methodology to understand how social structures shape psychological processes and vice versa.

Luca RizziView profile

Professor

• Geometric Control Theory
• Sub-Riemannian Geometry
• Optimal Control
• +1 more

Luca Rizzi is a Full Professor at International School for Advanced Studies (SISSA) in Trieste, Italy, where he serves as the Coordinator of the PhD program in Mathematical Analysis, Modeling, and Applications and Principal Investigator of the ERC Starting Grant Project GEOSUB (2022-2026). His research focuses on Geometric Control Theory and Sub-Riemannian Geometry, with significant contributions to the geometric analysis of spaces with non-holonomic constraints. His research interests include: Geometric Control Theory Sub-Riemannian Geometry Optimal Control Problems Geometric Analysis Rizzi leads the GEOSUB project developing geometric and functional interpolation inequalities for sub-Riemannian manifolds, with implications for geometric analysis on non-smooth spaces, hypoelliptic operators, and geometric measure theory. His work bridges theoretical mathematics with applications in control theory and geometric structures. His scientific recognition includes: ERC Starting Grant for Project GEOSUB (2022-2026) Rizzi mentors PhD students Dario Sterzi and Daniele Tiberio, and supervises postdocs Samuel Borza, Giorgio Stefani, and Ye Zhang. He organizes the Geometric Structures seminar at SISSA and manages a sub-Riemannian community mailing list with over 200 subscribers. He has organized numerous conferences including the Workshop on Geometric Variational Problems in Sub-Riemannian Geometry (2025), Riemann 200: Mathematics and Physics (2026), and the XXXV Convegno Nazionale di Calcolo delle Variazioni (2026). As a member of the editorial board of the Journal of Dynamical and Control Systems, Rizzi actively contributes to advancing research in his field through academic service and international collaboration.