جست‌وجوی استاد و پژوهشگر

• Two-Dimensional Materials
• Nanoelectronics
• Catalysis
• +۵ مورد دیگر

Dr. Mahdi Ghorbani-Asl is a Senior Researcher at the Institute of Ion Beam Physics and Materials Research at the Helmholtz Center Dresden-Rossendorf (HZDR), Germany. His research focuses on 2D materials, particularly their application in energy-efficient nanoelectronics, catalysis, and energy storage systems. He leads the COM2DMATER Group , which explores substituting silicon with novel 2D materials to address stability challenges in thin-film systems. Key research interests include Atomistic simulations of irradiation-induced phenomena Defect engineering in 2D materials Electronic and structural properties under ion/electron irradiation Material synthesis and characterization for quantum and energy devices Publications emphasize structural transformations, defect dynamics, and electronic property modulation in materials like MoS₂, MoTe₂, and CrSBr. His work bridges computational modeling (e.g., DFT) with experimental insights from TEM and in situ analysis. Awards: None mentioned explicitly in the provided texts. Grants/Advising: Actively recruiting PhD students via email for projects in 2D materials; no specific grants listed. Labs/Teams: Leads the COM2DMATER Group, collaborating with global institutions on materials discovery and device applications.

Thierry Lasserreمشاهده پروفایل

پژوهشگر ارشد

• Particle Physics
• Neutrino Physics
• Dark Matter
• +۲ مورد دیگر

Thierry Lasserre is a Research Fellow at the Technical University of Munich (TUM) Institute for Advanced Study (Hans Fischer Senior Fellow since 2015) and a physicist at the French Alternative Energies and Atomic Commission (CEA). He holds an associate researcher position at the AstroParticle and Cosmology laboratory (APC) in Paris. His expertise spans particle physics and observational cosmology, with a focus on neutrino properties and dark matter research. Lasserre leads key experiments such as Double Chooz (neutrino oscillations), CeSOX (search for sterile neutrinos), and Nucifer (nuclear non-proliferation via neutrino detection). He has pioneered research into keV-scale sterile neutrinos as dark matter candidates and contributed to the discovery of the reactor neutrino anomaly in 2011. Education: PhD in observational cosmology from Paris 6 University (2000), postdoctoral research at the Max Planck Institute for Nuclear Physics (2000–2002), and habilitation thesis (2010). Key roles include head of the low-energy neutrino group at CEA-Saclay (since 2004) and co-PI of Nucifer (2004–present). Research interests include neutrino oscillations, dark matter detection, sterile neutrino physics, and interdisciplinary applications like neutrino-based nuclear monitoring. Collaborations include the International Atomic Energy Agency (IAEA) for Nucifer and the KATRIN collaboration for neutrino mass measurements. Awards include the ERC Starting Grant (2012–2017), CEA Senior Expert designation (2011), and CNRS Bronze Medal (2010). He is actively involved in experiments such as TRISTAN (keV sterile neutrino search) and CeSOX (antineutrino generator experiments).

• Materials Science
• Computational Materials Design
• Hydrogen Embrittlement
• +۳ مورد دیگر

Dr. Ali Tehranchi is a Researcher at the Max Planck Institute for Sustainable Materials in Düsseldorf, leading the Computational Phase Studies group within the Department of Computational Materials Design. His work focuses on atomistic mechanisms of hydrogen embrittlement, phase stability of intermetallics, and computational materials design. Education: 2017: Ph.D. in Mechanical Engineering, École Polytechnique Fédérale de Lausanne, Switzerland 2009: M.Sc. in Structural Engineering, Sharif University of Technology, Iran 2006: Dual B.Sc. in Civil Engineering and Petroleum Engineering, Sharif University of Technology, Iran Research Interests: Dr. Tehranchi investigates hydrogen effects on material properties, phase stability in alloys, and defect-driven phenomena using computational methods. His studies bridge atomistic simulations with macro-scale material behavior, addressing challenges in lightweight steels, magnesium alloys, and hydrogen embrittlement mechanisms. Publications: Over 15+ peer-reviewed articles focus on hydrogen-embrittlement mechanisms, defect phase diagrams, and computational modeling. Recent work explores boron segregation in steels, phase stability under alkaline conditions, and dislocation dynamics in magnesium-based materials. Affiliations: Active member of the Max Planck Alumni Network. Contact via tehranchi@... or visit his Google Scholar profile.

Christian Meilickeمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Knowledge Graphs
• Ontology Matching
• +۵ مورد دیگر

Christian Meilicke is a Researcher at the Data and Web Science Group (DWS) within the School of Business Informatics and Mathematics at the University of Mannheim. His work focuses on artificial intelligence, ontology matching, and knowledge graph completion, with recent contributions to rule-based methods and their applications in business process modeling. He is heavily involved in teaching, coordinating courses such as 'Modeling Business Processes' and 'Artificial Intelligence.' His research interests include the integration of open and structured knowledge, probabilistic reasoning frameworks, and improving the efficiency of knowledge base systems. He has explored topics like inductive logic programming, automated debugging of ontologies, and the use of Markov Logic Networks for root cause analysis in IT systems. In terms of trends, his recent publications emphasize combining symbolic rule-based approaches with machine learning for knowledge graph tasks, such as activity recommendation and link prediction. He also investigates explainability in embeddings and temporal forecasting in knowledge graphs. His work often bridges theoretical advancements with practical applications in business informatics and data integration. No scientific awards have been explicitly mentioned. Christian has advised no formal students listed here but has contributed to teaching and mentoring through his courses and tutorials. His research and teaching are closely tied to the DWS Group, which focuses on data-centric AI and semantic technologies.

• Semantic Web
• Data Integration
• Ontology Matching
• +۴ مورد دیگر

Dominique Ritze is a Research Fellow at the Data and Web Science Group of the University of Mannheim. Her research focuses on ontology alignment, semantic web technologies, linked open data integration, and knowledge organization systems. She collaborates with Prof. Dr. Christian Bizer and Prof. Dr. Kai Eckert on projects like InFoLiS II, aiming to advance data integration and semantic web applications. Education: MSc Computer Science (Diplom-Informatikerin) Research Interests: Dominique’s work bridges theoretical and applied aspects of semantic web technologies. Key areas include ontology evaluation frameworks, cross-domain data integration, and the development of tools for provenance tracking and data reuse. She has contributed to methodologies for aligning knowledge organization systems (KOS) and enhancing discovery systems with linked data. Publications Trends: Her articles from 2010-2015 emphasize ontology alignment (e.g., OAEI evaluations), semantic web applications, and data integration techniques. Notable contributions include the ICE-Map visualization for KOS evaluation and the Mannheim Search Join Engine for cross-website table integration. Awards: No scientific awards explicitly listed in the provided texts. Projects & Teams: Active in the Data and Web Science Group, leading projects on web table matching and semantic data integration. Collaborates with global research networks through initiatives like the Ontology Alignment Evaluation Initiative.

Ingmar Ickerottمشاهده پروفایل

استاد

• Logistics Management
• Digitalization in Supply Chains
• Smart Glasses Applications
• +۳ مورد دیگر

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

Axel Sielaffمشاهده پروفایل

پژوهشگر

• Boiling and Evaporation
• Heat Transfer
• Microgravity Applications
• +۳ مورد دیگر

Dr. Axel Sielaff is a Researcher at the Institute for Technical Thermodynamics at Technische Universität Darmstadt since 2008. His work focuses on boiling and evaporation phenomena, particularly in microgravity environments and complex fluids. He has conducted research visits at the Indian Institute of Technology Madras and the Royal Melbourne Institute of Technology. Education: He holds a Diplom in Mechanical Engineering (Energy and Process Engineering) from Leibniz University Hannover. He also completed visiting studies at the Chinese Academy of Sciences (Beijing), Zhuhai MTU Maintenance, and Brunel University, West London. Research Interests: His group investigates two-phase heat transfer, nucleate boiling dynamics, and the effects of microgravity on evaporation. Projects include multiscale experiments on complex fluids, numerical simulations of bubble growth, and applications in spacecraft thermal management via the RUBI experiment on the International Space Station. Key areas include microlayer formation, electric field effects on bubble detachment, and residue formation of fuels/AdBlue under high-velocity airflow conditions. Technical Contributions: Develops experimental setups for sub-millimeter scale analysis and high-precision infrared thermography. Collaborates internationally on projects such as the Multiscale Boiling Investigation (ISS-based) and Deposit Formation Studies. Labs/Teams: Active in the Boiling and Evaporation research group at TU Darmstadt, contributing to both fundamental and applied thermal engineering research.

• Machine Learning
• Automated Machine Learning (AutoML)
• Hyperparameter Optimization
• +۳ مورد دیگر

Janek Thomas is a researcher actively contributing to the fields of Machine Learning and Automated Machine Learning (AutoML). His work focuses on hyperparameter optimization, multi-objective algorithms, and improving the interpretability of machine learning models. Collaborating with institutions like TU Munich and LMU Munich, he has authored over 35 publications since 2016. Key contributions include the AMLB benchmark suite for AutoML systems and foundational research on multi-objective hyperparameter tuning. His research bridges theoretical advancements with industrial applications, emphasizing robust model verification and scalable optimization techniques.

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.

Georg Grohمشاهده پروفایل

استاد مدعو

• Applied Computer Science
• Social Signal Processing
• Social Network Analysis
• +۴ مورد دیگر

Georg Groh is an Adjunct Professor at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology . His research focuses on modeling social context, social interaction mediated by IT systems, and ML-based natural language processing. He holds a doctorate (2005) and habilitation (2012) from TUM, with prior studies in physics and computer science. Key research areas include social signal processing, network analysis, and bias detection in AI systems. Notable awards include the 2019 Supervisory Award and 2016 Honorary Teaching Certificate. His work bridges computational methods with societal impacts, particularly in health informatics and ethical AI. Recent projects explore LLM hallucination detection, bias profiling, and cross-lingual text classification. Education: PhD in Computer Science (2005), TUM Habilitation in Computer Science (2012), TUM Studies in Physics (University of Kaiserslautern) and Computer Science (Universities of Hamburg, Kaiserslautern, TUM) Research Interests: Groh’s work spans social computing, NLP, and ethical AI . Current projects address bias in language models, hate speech detection, and data-driven health interventions. His methodologies emphasize contextual analysis of social interactions, leveraging ML and graph-based techniques. Awards: 2nd place Supervisory Award (2019) Best Paper Awards (2016, 2008) Advising & Grants: Advised on projects like Nutrilize (nutrition recommender system) and contributed to EU-funded initiatives on mHealth systems. Active in designing AI systems for dietary logging and stress management.

• Hydrology
• Soil Erosion and Conservation
• Sediment and Water Interaction
• +۷ مورد دیگر

Dr. Fahimeh Mirchooli is a postdoctoral researcher in the Department of Geography at the University of Bonn, Germany, working within the AG Klaus research group. Her work focuses on hydrology, soil erosion, and sustainability of catchment systems. She holds a PhD in Natural Resource Engineering from Tarbiat Modares University, Iran, and has held academic research roles at Sari Agricultural Sciences and Natural Resources University and Hakim Sabzevari University. PhD, Natural Resource Engineering (Watershed Science and Engineering), Tarbiat Modares University, Iran, 2020 Visiting Researcher, University of Salzburg, Austria, 2019 MSc, Natural Resource Engineering (Watershed Management), Isfahan University of Technology, Iran, 2013 BSc, Natural Resource Engineering (Rangeland and Watershed Management), University of Tehran, Iran, 2011 Dr. Mirchooli's research centers on soil erosion and conservation , sediment-water interactions , spatial modeling using machine learning , and catchment health and sustainability . She integrates geospatial analysis, environmental modeling, and data science to assess land degradation, ecosystem services, and environmental risk. Her work often involves remote sensing, GIS, and hybrid modeling approaches combining empirical and machine learning techniques. Her recent publications (2018–2024) reflect a strong trend in environmental risk modeling , land degradation assessment , and machine learning applications in hydrology and soil science . Topics include gully erosion susceptibility, dust emission risk, flood modeling, and watershed sustainability. The interdisciplinary nature of her research spans ecology, geoscience, agricultural science, and public health . Scientific awards and honors include: Ranked 1st among PhD students in Watershed Management Sciences and Engineering (2020) 6th rank in national PhD entrance exam for Watershed Management (2015) George Forster Fellowship (2025) Sabbatical Scholarship from Ministry of Science, Research and Technology, Iran (2019–2020) Dr. Mirchooli has received research grants including the George Forster Fellowship and a Sabbatical Scholarship. While no formal advisees are listed, her collaborative publication record indicates active mentorship and team-based research. She is involved in hydrology and sustainability research within the AG Klaus group, contributing to projects on catchment health, erosion modeling, and environmental monitoring.

Torsten Froschمشاهده پروفایل

استاد

• Biophotonics
• Medical Engineering
• Spectroscopic Techniques (Raman/IR)
• +۵ مورد دیگر

Prof. Torsten Frosch is a Professor and Head of the Department of Biophotonics Medical Engineering at TU Darmstadt's Faculty of Electrical Engineering and Information Technology. His research focuses on innovative biophotonic techniques, including Raman and IR spectroscopy for medical technology applications such as drug monitoring and environmental gas sensing. He pioneered fiber-enhanced Raman spectroscopy for multi-gas analysis and spectroscopic drug interaction studies. Academically, Frosch holds a PhD in physical chemistry from Friedrich Schiller University Jena and conducted postdoctoral research at Imperial College London and Monash University. His work bridges photonics, analytical chemistry, and biomedical engineering, with contributions to antimalarial drug mechanisms, antibiotic quantification in bodily fluids, and environmental nitrogen cycle modeling. Research interests include personalized medical devices, non-invasive theranostics, and spectroscopic tools for real-time diagnostics. Notable achievements include developing ultrasensitive gas sensors for greenhouse gases and establishing a junior research group on fiber spectroscopic sensor technology at the Leibniz Institute for Photonic Technologies. His publications span over 15 years, emphasizing interdisciplinary applications of spectroscopy in healthcare (e.g., therapeutic drug monitoring) and environmental science (e.g., denitrification studies). Ongoing projects include multimodal Raman imaging setups and cavity-enhanced spectroscopy for trace gas analysis.

• Medical Imaging
• Positron Emission Tomography (PET)
• Detector Physics
• +۱۲ مورد دیگر

David Schug is a Group Leader in PET detector research at the Chair of Imaging and Image Processing, RWTH Aachen University, Germany. He is also Co-Founder and Co-Director of Hyperion Hybrid Imaging Systems GmbH and serves as a Radiation Safety Officer. His research is centered on advancing positron emission tomography (PET) technology, particularly in detector design, time-of-flight performance, depth-of-interaction encoding, and integration with MRI systems. He is actively involved in both academic and industrial innovation in medical imaging. B.Sc. Physics, RWTH Aachen University (2006–2009) M.Sc. Physics, RWTH Aachen University (2009–2011) Dr.rer.nat., RWTH Aachen University (2012–2015) David Schug's research focuses on medical imaging physics , particularly PET detector development , hybrid PET/MRI systems , and advanced calibration techniques . His work integrates machine learning with physics-based models to enhance timing resolution and image quality. Key areas include ASIC-based readout electronics, RF shielding for MRI compatibility, and real-time data processing. He has made significant contributions to improving coincidence time resolution beyond 200 ps in clinical and preclinical systems. His recent publications demonstrate a strong trend in high-resolution PET detector design , with emphasis on time-of-flight capabilities , depth-of-interaction encoding , and in-system calibration methods . Articles frequently involve machine learning (e.g., gradient tree boosting), ASIC integration (TOFPET), and MRI compatibility. The research spans both preclinical and clinical applications, including breast cancer imaging, brain PET, and proton therapy monitoring. David Schug has not been publicly awarded any scientific prizes or fellowships based on available information. He advises several researchers and students involved in PET detector projects, as evidenced by co-authorship on numerous publications. His team develops cutting-edge detector platforms like the Hyperion series and collaborates on EU projects such as HYPMED. While specific grant details are not listed, his sustained research output and entrepreneurial activity suggest successful funding acquisition. His work bridges academia and industry through Hyperion GmbH. David Schug leads the PET detector research group at the Chair of Imaging and Image Processing, RWTH Aachen. He is part of AG START at Uniklinik RWTH Aachen and collaborates extensively with Prof. Volkmar Schulz. His team focuses on the Hyperion detector platform, developing inserts for simultaneous PET/MRI, with applications in oncology, neurology, and cardiology.

Mirjam Zimmermannمشاهده پروفایل

استاد

• Religious Education
• Biblical Didactics
• Interreligious Learning
• +۱۲ مورد دیگر

Mirjam Zimmermann is a Professor of Protestant Theology, specializing in Religious Education and Subject Didactics at the University of Siegen, Faculty I. She holds an active academic position, supervises research assistants, and teaches a wide range of courses in religious education, including interreligious learning, biblical didactics, and digital teaching methods. Her work is deeply engaged with contemporary issues such as digitalization, ethics, and inclusion in religious education. Her research interests span Religious Education , Biblical Didactics , Interreligious Learning , Children's and Youth Theology , Digital Sacred Spaces , Ethics , and Inclusive Pedagogy . She emphasizes narrative learning, positionality in teaching, and the use of literature and media in religious instruction. Her teaching philosophy includes action orientation, production-based learning, and critical engagement with current societal issues like climate change and social justice. The recent publications (2025–2023) reflect a strong trend toward digital religious education , particularly the pedagogy of virtual sacred spaces, alongside continued focus on interreligious and interdenominational learning , children's theology , and ethical education . These works combine empirical research, didactic innovation, and theological reflection, often published in collaboration with colleagues and integrated into practical teaching contexts. While no formal scientific awards are listed in the provided texts, her extensive editorial and collaborative work, including contributions to the Scientific-Religious Education Lexicon (WiReLex) , underscores her scholarly impact. She actively mentors research assistants such as Dr. Steffi Fabricius and Benedict Totsche, and is involved in projects like kokoRU, though specific PhD or Master’s students are not named. She has no known grants mentioned, but her leadership in research projects implies grant-funded activities. Mirjam Zimmermann is affiliated with the Research Team on Religious Education and contributes to national and international academic discourse through publications, edited volumes, and participation in academic networks. Her work bridges theory and practice, aiming to make religious education relevant, inclusive, and critically engaged with contemporary challenges.

Marc Boyerمشاهده پروفایل

استاد

• Formal Methods
• Network Calculus
• Real-Time Systems
• +۷ مورد دیگر

Marc Boyer is a Research Director at ONERA, the French Aerospace Lab, within the Department of Aerospace and Information Systems Technologies (DTIS). He is actively affiliated with the Université de Toulouse, where he teaches at the M2 level in computer science and engineering programs at UPS and ENSEEIHT. His research lies at the intersection of formal methods, real-time systems, and embedded networking, with a strong focus on network calculus and Time-Sensitive Networking (TSN). Institution: ONERA / DTIS Teaching Affiliations: Université de Toulouse (UPS, ENSEEIHT) Doctoral School: MITT (Mathematics, Computer Science, Telecommunications) His research interests include formal verification of real-time networks, worst-case performance evaluation, scheduling models, and deterministic networking. He has made significant contributions to the theoretical and practical application of network calculus in avionics (AFDX), automotive, and space systems. His work bridges theory and industry applications, particularly in safety-critical domains. His recent publications (2020–2024) show a consistent focus on refining network calculus models for TSN, CQF, credit-based shaping, and sporadic traffic integration. These works are published in top-tier venues such as ECRTS, RTAS, ETFA, and IEEE Transactions, indicating high impact and relevance in real-time systems research. Best Paper Award, JRWRTC 2023 Best Paper Award, ICATPN 2007 Co-chair, RTNS 2023 Program Committee Active in ECRTS, RTAS, DATE, ETFA program committees Marc Boyer supervises multiple PhD students and offers internships through the MITT doctoral school. He leads the MOIS doctoral reception team and is involved in industrial challenges like Resilient TSN. He has developed tools like NC-maude for formal analysis and contributes to open research datasets and reproducibility. His work combines theoretical rigor with practical implementation, influencing both academic and industrial standards in deterministic networking. He is also active in educational outreach, delivering lectures on digital transformation and cognitive biases in engineering, and promoting tools like Emacs for productivity.