جست‌وجوی استاد و پژوهشگر

Miriam Clincyمشاهده پروفایل

استاد

• Mathematics Education
• Physics Education
• STEM Teacher Training
• +۳ مورد دیگر

Prof. Miriam Clincy is a Professor of Mathematics, Physics, and STEM Teacher Training at Hochschule Esslingen University of Applied Sciences. She holds roles as University Representative for Higher Education and Associated Member of the Tübingen School of Education (TüSE). Her work focuses on innovative educational technologies, particularly online assessment systems like STACK in Moodle, and teacher training methodologies. Education: PhD in Physics, University of Edinburgh (2003) Physics Diploma (M.Sc. equivalent), Universität Heidelberg & University of Edinburgh (2000) Research Interests: Prof. Clincy bridges theoretical physics and STEM education. Key areas include online testing innovations, peer feedback systems, and teacher training through simulation-based assessments. She also maintains research on non-equilibrium systems from her earlier work in statistical mechanics. Publications: Recent work emphasizes educational technology (e.g., sandbox testing environments, Moodle integration) alongside foundational physics contributions in driven systems and phase transitions. Awards: Baden-Württemberg-Zertifikat für Hochschuldidaktik (2020) Advising & Grants: As Dean of Study (2019–2021), she oversaw TVET teacher training accreditation. Current projects include collaborative initiatives with the University of Tübingen and participation in the „Lehre hoch n“ network for educational innovation. Labs/Teams: Active in Hochschule Esslingen’s Basic Sciences faculty, contributing to curriculum development and assessment frameworks.

Xavier Devroeyمشاهده پروفایل

استادیار

• Software Testing
• Search-Based Software Engineering
• Software Variability
• +۵ مورد دیگر

Xavier Devroey is an Assistant Professor of Software Engineering at the University of Namur in Belgium. He co-leads the SNAIL Team with Benoît Vanderose, focusing on innovative approaches to software testing and automation. His work bridges academic research with practical applications in the software engineering community. His educational background includes a Ph.D. and Master's in Computer Science from the University of Namur, plus a Bachelor's in Analyst Programming from Haute Ecole de Bruxelles, Belgium. This comprehensive academic training informs his research and teaching approach. Devroey's research interests center on Software Testing , with particular emphasis on Search-Based Software Engineering and Software Variability . His specific focus areas include: Search-Based Testing and Fuzzing Model-Based Testing Mutation Testing Variability Modeling Software Product Line Testing Test suite augmentation DevOps integration These interests reflect his commitment to advancing automated approaches for test case design, generation, selection, and prioritization. His recent publication portfolio (2019-2025) demonstrates consistent contributions to software testing research, with particular focus on crash reproduction, API testing, and innovative approaches to test automation. The articles reveal a strong emphasis on practical applications of search-based techniques across various testing domains. Devroey maintains active engagement with the academic community through conference participation, having served on program committees for major software engineering conferences including ASE, ICSE, ISSTA, and ICST across multiple years (2019-2025). He also contributes to educational aspects of software engineering, with publications examining testing education approaches and tools for programming exercise assessment. His personal website (xdevroey.be) and GitHub profile demonstrate his commitment to open academic practices and community engagement.

Niklas Meißnerمشاهده پروفایل

پژوهشگر

• Software Engineering Education
• Gamification in Education
• Artificial Intelligence in Learning
• +۳ مورد دیگر

Niklas Meißner is a Research Assistant and Doctoral Researcher at the University of Stuttgart's Institute of Software Engineering, specializing in Software Quality and Architecture. His research focuses on gamification, AI-driven educational tools, and improving software engineering education through modern learning systems. He holds a M.Sc. in Software Engineering (University of Stuttgart) and B.Sc. in Applied Computer Science (University of Telecommunications Leipzig), with academic exchanges at the University of California, Irvine and University of Kansas. His work explores adaptive gamification in intelligent tutoring systems, leveraging AI to enhance motivation and learning outcomes. He co-supervises projects like MEITREX (gamified tutoring) and EvalQuiz (AI-based quizzes). Teaching roles include lecturing in Advanced Software Engineering and supervising development projects on gamified learning platforms. Research Interests: Gamification, AI in Education, E-Learning Systems, Software Engineering Pedagogy, Automated Assessment. Industry Experience: IT Architect/Product Owner at T-Systems International GmbH, Junior IT Architect at Deutsche Telekom AG. Key publications address AI-generated exercises, ChatGPT's role in education, and gamified platforms for software engineering. His work bridges technical innovation with educational practice, emphasizing scalability and student engagement.

• Thermodynamics
• Combustion Technology
• Automotive Engineering
• +۳ مورد دیگر

Prof. Dr.-Ing. Thomas Esch is a Professor at the Aachen University of Applied Sciences in the Department of Aerospace and Automotive Engineering . He specializes in Thermodynamics and Combustion Technology, with consultation hours held weekly. His institutional affiliations include the European Center for Sustainable Mobility (ECSM). His research spans thermodynamics, combustion systems, sustainable mobility, fuel cell technology, and propulsion engineering. Recent work focuses on thermal management in electric vehicles, rocket propulsion optimization, and AI-driven energy systems. Prof. Esch publishes extensively on sustainable energy solutions, with recent articles (2020-2025) covering fuel cell efficiency, hydrogen vehicle optimization, rocket engine design, and thermal management. His research consistently addresses industrial applications of thermodynamics and propulsion. He teaches courses including: Combustion Technology (Lecture, Exercises, Internships) Global Automotive Homologation Practical Engineering and Social Competencies for Industrial Development Prof. Esch leads academic initiatives like the Erasmus+ United Future Fuel Design Training Center, facilitating international collaborations in sustainable fuel research.

Andreas Krinkeمشاهده پروفایل

پژوهشگر

• Analog Circuit Design
• Mixed-Signal Integrated Circuits
• Constraint Propagation
• +۳ مورد دیگر

Andreas Krinke is a Researcher at the Institute of Microengineering and Electronic Design, TU Dresden, specializing in constraint-guided design of integrated analog circuits. He actively participates in BMBF-funded projects including HyPerStripes, MANNHEIM-KI4BoardNet, and Technology for Trust, focusing on electronic design automation and reliability engineering. His research centers on analog/mixed-signal IC design with emphasis on constraint propagation, physical design automation, and reliability analysis. Key contributions include methodologies for constraint handling from system-level to tape-out, open-source EDA tool development, and applications in flexible electronics and automotive systems. His work bridges theoretical constraints with practical implementation challenges in nanoscale and automotive electronics. Publication trends since 2011 reveal consistent focus on constraint propagation techniques, evolving toward flexible electronics (2024), open-source layout verification (2024), and automotive mission profile analysis (2021-2022). Recent work integrates AI for trustworthy systems while maintaining core expertise in constraint-driven design flows for analog circuits. Krinke teaches Fundamentals of Electrical Engineering seminars and design automation exercises. His project portfolio includes: HyPerStripes, MANNHEIM-KI4BoardNet, Technology for Trust (BMBF) ELDA-MP (BMWi) autoSWIFT, RESCAR 2.0 (BMBF) These initiatives target automotive electronics, design automation, and trustworthy computing systems. He collaborates within TU Dresden's Institute of Microengineering and Electronic Design, working closely with Prof. J. Lienig's research group on constraint-driven methodologies and open-source EDA ecosystems for next-generation circuit design.

• Robotics
• Mechatronics
• Medical Device Technology
• +۲ مورد دیگر

Felix Pancheri is an employee at the Chair of Microtechnology and Medical Device Technology (MiMed) at the Technical University of Munich (TUM) since February 2021. Holding an M.Sc. in Mechatronics and Information Technology, he actively contributes to research and teaching within the MiMed group, supervising courses including Mechatronic Device Technology (MGT), Development of mechatronic devices (SMG), and Mathematical Tools (MTT). His research spans interdisciplinary domains with core focus areas: Robotics : Specializing in bio-inspired quadruped locomotion, soft robotics, and medical robotics applications Mechatronic Systems : Integration of mechanical, electronic, and software components for medical devices Advanced Manufacturing : Leveraging topology optimization and additive manufacturing for rapid prototyping Computational Design : Developing automated systems for custom mechanical structures Analysis of his 2021-2024 publications reveals consistent innovation in topology-optimized robotic mechanisms, particularly for legged locomotion and gripper systems. His work demonstrates strong bio-inspiration trends, translating natural movement principles into compliant mechanical designs fabricated through 3D printing. Medical applications form a significant thread, including surgical instrument development and 3D digitization techniques for surgical planning, reflecting the MiMed group's translational research focus. No scientific awards are documented for Felix Pancheri in available records. As an academic contributor, he supervises key courses: Mechatronic Device Technology (MGT) exercises Development of mechatronic devices (SMG) seminars Mathematical Tools (MTT) instruction While no individual grants are specified, he participates in MiMed's funded projects including IndiPrint, Arburg Automated Design, and CarrierBot, which advance automated design methodologies and robotic applications. The MiMed research environment provides state-of-the-art facilities for robotics prototyping, medical device development, and additive manufacturing, supporting his work on bio-inspired mechanisms and surgical robotics systems with strong industry-academia collaboration.

Julian Roelleمشاهده پروفایل

استاد

• Educational Psychology
• Cognitive Science
• Metacognitive Judgment
• +۷ مورد دیگر

Prof. Dr. Julian Roelle is a full professor (W3) of Educational Psychology at Ruhr University Bochum's Institute of Educational Science, affiliated with the Faculty of Philosophy and Educational Research. His research focuses on optimizing learning processes through generative tasks, retrieval practice, and rubric-based assessment. He leads a team including Dr. Roman Abel, Dr. Linda Froese, and others, specializing in educational psychology and cognitive science. Academic career: Habilitation (2018) and PhD (2011) from Bielefeld University, diploma in Psychology from Freiburg University (2010). His work bridges cognitive science and educational practice, emphasizing metacognitive strategies, instructional design, and digital learning tools. Research interests include the integration of generative and retrieval tasks, rubric efficacy in self-assessment, and cognitive load theory applications. Recent studies explore digital explanation modalities, rubric platform advancements, and source evaluation in social media contexts. He publishes extensively on topics like quizzing adaptation, time management in academia, and example-based learning strategies. His team operates within the Institute of Educational Science, collaborating on projects like 'Generative Drawing & Retrieval Exercise' and 'Rubrics Promote Monitoring and Regulation.'

Frank Alsmeyerمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Energy Efficiency
• Sector Coupling
• +۱۱ مورد دیگر

Prof. Dr.-Ing. Frank Alsmeyer is a faculty member in the Department of Mechanical and Process Engineering at Niederrhein University of Applied Sciences, where he leads research in Energy and Process Systems Engineering. He is affiliated with the Institute for Energy Technology and Energy Management (SWK E²) and supervises a wide range of student projects and theses focused on sustainable energy systems, optimization, and process engineering. His research interests include: Sustainable energy system technology Climate-friendly restructuring of energy supply Sector coupling across buildings, industry, transport, and commerce Non-fossil energy sources such as hydrogen and biogenic substances Computer-aided simulation and optimization using MILP and phenomenological models Improving process sustainability, quality, and cost-effectiveness His recent publications and research projects (e.g., Bilinear Optimization of Energy Systems, Green Heat for Krefeld) reflect a strong focus on modeling, simulation, and optimization of integrated energy systems, particularly in urban and industrial contexts. The work spans thermodynamics, energy cadastres, waste-to-energy integration, and digital education tools for engineering. There is a clear trend toward applied research with real-world implementation, especially in Krefeld and surrounding regions. Scientific awards include: Best FB04 Bachelor Project 2016/17 for the 'Energiebaukasten' interactive energy visualization tool Prof. Alsmeyer actively supervises numerous student theses and projects, covering topics such as energy efficiency, heat integration, hydrogen systems, and process optimization in industrial settings. He is involved in multiple funded research initiatives, including Bilinear Optimization of Energy Systems (2023–2026), Herzogenrath Energy Park, and OK!Thermo, an open educational resource for thermodynamics. His work bridges engineering fundamentals with practical applications in sustainability and digitalization. He leads the development of digital tools for energy analysis and education, such as interactive touch tables and online learning platforms. He is associated with the following labs and research groups: Institute for Energy Technology and Energy Management (SWK E²) Research group on Computer-Aided Analysis, Simulation and Optimization of Energy and Process Systems Team developing OK!Thermo and other OER materials for engineering education

• Case-Based Reasoning
• Artificial Intelligence
• Knowledge Management
• +۵ مورد دیگر

Professor Klaus-Dieter Althoff is a faculty member at the University of Hildesheim, working within the Intelligent Information Systems Division of the Mathematics, Natural Sciences, Economics & Computer Science school. His research focuses on applying artificial intelligence techniques, particularly case-based reasoning (CBR), to architectural design support systems and knowledge management applications. His research interests center on Case-Based Reasoning methodologies , AI-assisted architectural design , semantic building information modeling , and knowledge representation systems . Althoff's work bridges computer science with practical applications in architecture, developing systems that automate and enhance early-stage design processes through machine learning and case-based approaches. Analysis of his recent publications (2021-2024) reveals a strong trend toward integrating deep learning with traditional case-based reasoning for architectural applications. His research increasingly focuses on autocompletion of architectural spatial configurations , BIM (Building Information Modeling) enhancement , and explainable AI for design support . The work spans theoretical CBR methodology development and practical implementations in architectural design tools. Althoff maintains active research collaborations across disciplines, with publications spanning architecture, computer science, and cybersecurity applications of case-based reasoning. His work demonstrates consistent methodological development in CBR frameworks like FLEA and SEASALT, while expanding into new application domains including network security and fitness training systems.

Esther Guerraمشاهده پروفایل

استاد

• Model-Driven Engineering
• Software Engineering
• Domain-Specific Languages
• +۷ مورد دیگر

Esther Guerra is a Full Professor in the Department of Computer Science at the School of Engineering, Autonomous University of Madrid. She joined the university in 2010 after previously serving as a professor at the Universidad Carlos III de Madrid from 2004 to 2010. Her academic career spans over two decades with consistent contributions to software engineering research and education. Dr. Guerra's research focuses on Model-Driven Engineering (MDE), Domain-Specific Languages, and software testing. She has made significant contributions to language engineering, particularly in language product lines, metamorphic testing, and the development of tools for model-based engineering. Her work bridges theoretical foundations with practical applications, especially in chatbot development, low-code platforms, and augmented reality systems. She leads the MISo research group which actively develops tools like Merlin, MetaDepth, and Wodel-Test. Her publication record shows a consistent trajectory of high-impact research, with recent work focusing on adaptive modeling languages, chatbot engineering, and test amplification frameworks. She has published in top-tier journals including ACM Transactions on Software Engineering and Methodology, Journal of Systems & Software, and Software and Systems Modeling. As an educator, Dr. Guerra has taught numerous courses including Software Analysis and Design Project, Automated Software Development, and Model-Driven Software Development. She has supervised numerous undergraduate and master's theses focused on practical applications of model-driven techniques. Dr. Guerra is actively involved in the academic community, serving on program committees for major conferences including ASE, MODELS, ICSE, and SPLASH. She has contributed to the organization of several workshops and symposia focused on software engineering topics.

Sebastian Baderمشاهده پروفایل

پژوهشگر

• Neuro-Symbolic Artificial Intelligence
• Human Activity Recognition
• Assistive Systems for Dementia
• +۷ مورد دیگر

Sebastian Bader is a research scientist at the Institute for Visual & Analytic Computing at the University of Rostock, where he contributes to the Chair of Mobile Multimedia Information Systems. His work bridges artificial intelligence, human-computer interaction, and healthcare applications, particularly in assistive technologies. Doctoral Degree: Dr. rer. nat. in Neural Symbolic Integration, TU Dresden, 2009 (summa cum laude) His research interests focus on neuro-symbolic AI, human activity recognition, and intelligent assistive systems for dementia care and neurorehabilitation. He investigates how AI can support clinical interventions, improve patient monitoring, and enhance explainability in medical contexts. His work emphasizes ethical considerations, real-world usability, and integration with sensor and robotic systems. The recent publications highlight a strong trend in applying AI to healthcare, particularly in modeling patient behavior, evaluating robotic assistance, and developing explainable and ethical AI systems. Topics span from underwater robotics to Alzheimer’s diagnostics, showcasing interdisciplinary expertise. He supervises Bachelor's and Master's theses on topics such as visualizing uncertainty in ML, semi-automatic test generation using LLMs, and building probabilistic digital shadows of the Port of Rostock. Sebastian Bader actively collaborates with medical researchers and industry partners, and his projects include "SAMi" (sensor-based activity management for dementia) and "E-BRAiN" (robot-assisted neurorehabilitation). He contributes to both technical AI development and real-world deployment in healthcare environments.

Marcellus Siegburgمشاهده پروفایل

پژوهشگر

• Formal Methods
• Automated Exercise Generation
• Programming Languages
• +۳ مورد دیگر

Marcellus Siegburg is a Research Associate in the Department of Computer Science / AI at the University of Duisburg-Essen, working under Prof. Dr. Janis Voigtländer in the Formal Methods in Computer Science group. His responsibilities include teaching courses on programming paradigms and modeling, with ongoing instructional activities scheduled through 2025. His research focuses on applying formal methods to educational contexts, particularly in: Automated generation of exercises for modeling tools (Petri nets, UML diagrams) Development of assessment systems for programming languages (Haskell) Integration of formal verification tools like Alloy into pedagogical workflows Model-driven development for educational technologies His publications demonstrate a consistent focus on automating computer science education components, combining formal methods with practical teaching tools. The work emphasizes scalability and diversity in exercise generation while maintaining academic rigor. As part of the Formal Methods research group, he collaborates on projects involving domain-specific languages and automated assessment systems. No awards, grants, or student advising relationships are documented in available materials.

Carolin Eitemüllerمشاهده پروفایل

استادیار

• Chemistry Education
• Digital Learning
• Educational Equity
• +۳ مورد دیگر

Carolin Eitemüller serves as Academic Councillor at the Institute for Didactics of General Education, University of Münster since March 2025. Previously, she held research positions at the University of Duisburg-Essen including Research Associate (2021-2025) and Research Assistant in the "Educational Equity in Focus" project (2016-2020), with doctoral work under Prof. Maik Walpuski. Her academic qualifications include: Dr. rer. nat. in Chemistry Education (University of Duisburg-Essen, 2015) 2nd State Examination (Schinkel Comprehensive School, Osnabrück, 2016) Bachelor/Master in Chemistry & Biology Education (University of Osnabrück, 2011) Study Abroad at Amersham & Wycombe College, UK (2011-2012) Dr. Eitemüller's research pioneers digital solutions for chemistry education, focusing on adaptive learning systems that address educational inequity through internal differentiation. Her work integrates automated formative feedback with multistep chemistry exercises to support diverse learners, particularly during school-to-university transitions. She examines how molecular representations affect cognitive load in organic chemistry while developing practical classroom tools for equitable instruction. Analysis of her 2018-2024 publications reveals consistent innovation in digital formative assessment, with increasing emphasis on AI-driven feedback systems and empirical validation of learning tools. Her research bridges theoretical educational psychology with classroom implementation, prioritizing practical solutions for chemistry teachers through digital learning units and differentiated task design. Current work continues within the University of Münster's Institute for Didactics of General Education, building on collaborations with Stanford University's Prof. Jonathan Osborne and the "Educational Equity in Focus" project team. No formal advisees or specific grant funding are documented in available sources.

Michael Strieweمشاهده پروفایل

پژوهشگر

• Educational Technology
• Software Engineering
• Automated Assessment
• +۳ مورد دیگر

Michael Striewe is a prominent academic in the fields of software engineering and educational technology. Currently, he serves as a scientific assistant at the University of Duisburg-Essen, but will transition to a professorial role at Trier University of Applied Sciences in October 2024. He holds a Ph.D. from paluno - The Ruhr Institute for Software Technology, where his thesis focused on automated assessment of programming and modeling tasks. Striewe's research spans integrated e-assessment systems, software engineering methods, and competency-based feedback mechanisms. His work emphasizes technology-enhanced assessment, including automated grading and domain-specific task generation. He has contributed to projects like the JACK e-assessment system and co-authored an anthology on automated assessment in programming education. Striewe is actively involved in academic communities, serving on committees for conferences such as DELFI, ITiCSE, and TEA. He chairs workshops on topics like automatic assessment of programming tasks and software engineering for e-learning systems. His teaching roles include membership in examination boards for computer science and applied computer science programs. He has led master’s project groups on topics like variability in programming tasks and e-assessment using text analysis. Striewe’s research interests include graph grammars, UML modeling, software performance engineering, and educational technologies. His recent publications focus on modularizing e-assessment systems, analyzing collusion in online exams, and developing competence models for graphical modeling. He has addressed challenges in digitalizing chemistry exercises and improving the scalability of assessment frameworks.

Neslihan Iskenderمشاهده پروفایل

پژوهشگر

• Crowdsourcing
• Human-Computer Interaction
• Natural Language Processing
• +۳ مورد دیگر

Neslihan Iskender is a researcher at the Quality and Usability Labs of Technical University of Berlin since May 2017, focusing on crowdsourcing methodologies for quality assessment and natural language processing. She holds a BSc and MSc in Industrial Engineering from Karlsruhe Institute of Technology, with a specialization in technology and innovation management. Research Areas: Crowdsourcing for quality evaluation, hybrid human-machine workflows, real-time interaction systems, usability/UX/QoE assessment, and internal crowdsourcing in corporate environments. Teaching: Co-teaches courses in Quality & Usability, Interdisciplinary Media Projects, and Usability Engineering exercises since SS 2018. Projects: Leads ERICS (EIT-Digital refugee communication service), contributes to DEKA (digital innovation platform), OurPuppet (caregiver support systems), and ICU (employee participation solutions). Contributions: Published 11+ peer-reviewed works between 2019-2021 on crowdsourcing reliability, chatbot UX, German summarization metrics, and hybrid NLG workflows.