جست‌وجوی استاد و پژوهشگر

Volker Ahrensمشاهده پروفایل

استاد

• Systems Engineering
• Production Management
• Lean Production
• +۵ مورد دیگر

Volker Ahrens is a Professor of Production Management at NORDAKADEMIE since 2007. He also serves as Head of the Industrial Engineering (B.Sc.) program and the International Business & Administration (B.Eng.) program, while acting as Coordinator of the Department of Engineering. His career spans academic and industrial roles, including leadership positions in medium-sized industrial companies and editorial work on VDI standards. Education: Diplom-Ingenieur in Mechanical Engineering (1989, Universität Hannover); Doktor-Ingenieur (1997, Universität Hannover) Industrial Experience: 10 years of executive management in industry, including König Metall GmbH & Co. KG and Wilhelm Schröder GmbH His research focuses on Systems Engineering and Production Management, with emphasis on lean production, quality management, and Industry 4.0. His publications since 2025 explore systemic approaches to socio-technical systems, cardboard engineering for collaborative design, and human-technology interaction in production environments. He has contributed extensively to process modeling, simulation of production systems, and meta-process frameworks like PDCA cycles. The 15 most recent articles highlight trends in systemic production design, lean manufacturing, and Industry 4.0 applications. Key keywords include Systems Engineering, Production Management, Lean Production, and Quality Management. Subfields span socio-technical systems, simulation techniques, human-centered design, and cyber-physical system integration across industrial contexts. Volker Ahrens is actively involved in teaching, serving as a lecturer at Hochschule Karlsruhe (1998–2013) and Fachhochschule Vorarlberg (since 2017). He contributes to academic governance as a member of the NORDAKADEMIE faculty and chairs VDI committees on simulation standards for production systems. His advisory roles include peer reviewing for quality assurance agencies like FIBAA and ZEvA.

• Natural Language Processing
• Computational Linguistics
• Event Detection and Understanding
• +۴ مورد دیگر

Teruko Mitamura is a prominent researcher at Carnegie Mellon University with over three decades of contributions to natural language processing, computational linguistics, and artificial intelligence. Her work spans from foundational research in event representation to advanced applications in multimodal systems and question answering. Her research interests focus on event detection and understanding, question answering systems, information retrieval, and multimodal processing. She has made significant contributions to event coreference resolution, timeline construction, and cross-document event analysis, developing methodologies that have become standard in the field. Her work often bridges theoretical advances with practical applications, particularly in complex information environments requiring deep semantic understanding. Natural Language Processing : Specializing in event extraction, coreference resolution, and narrative understanding with over 179 publications Question Answering Systems : Developing advanced techniques for complex question answering, particularly through NTCIR QA Lab and PoliInfo tasks Multimodal Processing : Integrating textual, visual, and temporal information for richer understanding in systems like ProMQA Evaluation Methodologies : Creating robust frameworks for assessing NLP systems through TAC KBP Event Tracks Her recent publication trends show a strong focus on leveraging large language models for event understanding, multimodal question answering, and timeline construction. She has expanded her research into specialized domains including patent analysis and novelty examination, demonstrating the breadth of her research impact across academic and practical applications. Active participant in major NLP conferences including ACL, EMNLP, NAACL, and AAAI with consistent publications Long-standing collaborator with researchers at CMU's Language Technologies Institute including Eduard H. Hovy and Eric Nyberg Contributor to shared tasks that have shaped research directions in event processing and question answering Organizer of multiple NTCIR QA Lab tasks focused on political information question answering Dr. Mitamura has mentored numerous researchers who have gone on to make their own contributions to the field, as evidenced by her extensive co-authorship network and the progression of her former students and collaborators into faculty and research positions. Her work continues to evolve with the field while maintaining her focus on deep semantic understanding of events and narratives.

Vincent Fortuinمشاهده پروفایل

استادیار

• Bayesian Deep Learning
• Uncertainty Quantification
• Probabilistic Inference
• +۵ مورد دیگر

Dr. Vincent Fortuin is a tenure-track Assistant Professor at the Technical University of Munich (TUM) and a research group leader at Helmholtz AI in Munich. He leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group and holds multiple prestigious fellowships including the Branco Weiss Fellowship. His academic affiliations include the TUM School of Computation, Information and Technology, the Konrad Zuse School of Excellence in Reliable AI, and the Munich Center for Machine Learning. Dr. Fortuin earned his BSc in Molecular Life Sciences from the University of Hamburg (2012-2015), followed by an MSc in Computational Biology and Bioinformatics from ETH Zürich (2015-2017), where he received the ETH Excellence Scholarship and the Willi Studer Prize. He completed his PhD in Machine Learning at ETH Zürich (2017-2021) under the supervision of Gunnar Rätsch and Andreas Krause, supported by a Swiss Data Science Center PhD Fellowship. Prior to joining TUM, he was a Research Fellow at St. John's College, University of Cambridge (2022-2023). His research focuses on the intersection of Bayesian statistics and deep learning, specifically developing methods for more robust, data-efficient AI systems with reliable uncertainty estimates. His work addresses critical limitations in standard deep learning approaches, particularly their tendency to be overconfident in predictions and require large datasets for training. He investigates better priors and more efficient inference techniques for Bayesian deep learning, deep generative modeling, meta-learning, and PAC-Bayesian theory, with applications in scientific and biomedical domains. Dr. Fortuin's recent publications demonstrate a consistent focus on improving uncertainty quantification in deep learning systems, with increasing emphasis on practical applications in scientific contexts. His work spans from theoretical foundations of Bayesian deep learning to practical implementations in protein design, materials science, and medical applications. A notable trend is his exploration of how to make Bayesian methods more scalable and applicable to modern large-scale AI systems while maintaining theoretical guarantees. Branco Weiss Fellowship (2023) St John's College Research Fellowship (2022) Swiss National Science Foundation Postdoc.Mobility Fellowship (2022) Swiss Data Science Center PhD Fellowship (2018) ETH Excellence Scholarship (2015) Willi Studer Award (2018) Dr. Fortuin actively supervises PhD and Master's students through his ELPIS research group at Helmholtz AI. He serves as a regular reviewer and area chair for major machine learning conferences and is an action editor for TMLR. He co-organizes the Symposium on Advances in Approximate Bayesian Inference (AABI) and the ICBINB initiative, demonstrating his commitment to advancing the field through community building. His research group receives funding from multiple sources including Helmholtz AI, the Branco Weiss Fellowship, and collaborations with international institutions. Dr. Fortuin leads the Efficient Learning and Probabilistic Inference for Science (ELPIS) group at Helmholtz AI, which focuses on fundamental machine learning research motivated by real-world scientific problems. The group collaborates extensively with researchers across Helmholtz centers and international institutions, particularly in biomedical applications where reliable uncertainty estimates are crucial.

• LiDAR-based Perception
• Autonomous Vehicles
• Agricultural Robotics
• +۴ مورد دیگر

Jens Behley is a Lecturer (Privatdozent) and postdoctoral researcher at the Department of Photogrammetry, University of Bonn. He completed his habilitation in 2023 with a thesis on LiDAR-based spatio-temporal scene understanding for autonomous vehicles and earned his PhD in 2014 under Prof. Armin Cremers. His research focuses on LiDAR perception, agricultural robotics, and 3D scene understanding. Behley is an Associate Editor at IEEE Robotics and Automation Letters (RA-L) and has authored influential datasets like SemanticKITTI and BonnBeetClouds3D. Education: PhD in Computer Science, University of Bonn, 2014 Habilitation in Photogrammetry, University of Bonn, 2023 Research Interests: LiDAR-based perception in urban and agricultural environments, machine learning for robotics, semantic mapping, SLAM algorithms, and 3D reconstruction. His work bridges computer vision and robotics, with applications in autonomous vehicles and precision agriculture. Awards: Best Agri-Robotics Paper Award (IROS 2024) Outstanding Reviewer Awards (ECCV, CVPR, ICRA) Faculty Award for Geodesy (2021) Advisees & Grants: Behley collaborates extensively with the PRBonn lab and researchers like Cyrill Stachniss, focusing on projects funded by EU Horizon and industry partners. His team develops open-source tools for LiDAR processing (e.g., KISS-ICP, VDBFusion). Labs/Teams: Part of the Photogrammetry and Robotics Institute (IGG) at the University of Bonn, contributing to the PRBonn research group.

Sebastian Rudolphمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Description Logics
• +۷ مورد دیگر

Prof. Sebastian Rudolph is a Professor of Computational Logic at the Institute for Artificial Intelligence , Faculty of Computer Science , TU Dresden. Since 2021, he has been an Affiliate Member of the Faculty of Mathematics. His research spans theoretical and applied artificial intelligence, focusing on Knowledge Representation and Reasoning through formalisms like Description Logics, Existential Rules, and Formal Concept Analysis, with applications in Semantic Technologies. 2017 : ERC Consolidator Grant for decidability principles in logic-based knowledge representation 2006-2013 : Postdoctoral researcher, project leader, and Privatdozent at KIT's Institute AIFB 2011 : Habilitation at KIT Earlier : PhD in Algebra and teaching qualification in mathematics, physics, and computer science at TU Dresden His recent publications address decidability of logical reasoning, non-monotonic extensions in formal concept analysis, standpoint logics, and multiagent systems. He supervises the DeciGUT and KIMEDS projects, and is involved in the SECAI and ScaDS.AI centers. Teaching activities include courses on Theoretical Computer Science, Existential Rules, and Formal Concept Analysis.

Christian Moormannمشاهده پروفایل

استاد

• Soil Mechanics
• Rock Mechanics
• Constitutive Modelling of Geomaterials
• +۹ مورد دیگر

Christian Moormann serves as Director and Full Professor of the Institute of Geotechnics at the University of Stuttgart, where he has held his position since 2010. His leadership extends to national and international geotechnical organizations, including serving as Chairman of the German Geotechnical Society (DGGT) since 2022. His educational background includes a distinguished Diplom in Civil Engineering from Leibniz University Hannover (1989-1994), followed by doctoral studies at TU Darmstadt where he earned his Dr.-Ing. with distinction in 2002 for research on soil-groundwater interaction in deep excavations. He completed his habilitation at TU Darmstadt in 2009 on optimization of geotechnical composite structures. Professor Moormann's research spans the critical intersection of theoretical geomechanics and practical engineering applications. His work focuses on material behavior of semi-solid and variable-strength rocks, numerical methods in geotechnics, and reliability analyses for geotechnical composite structures. He has made significant contributions to deep foundation systems, pile-raft foundations, and the application of geosynthetics in construction. His recent work increasingly addresses sustainable applications including near-surface geothermal energy systems and innovative ground improvement techniques. With over 350 publications throughout his career, Moormann's scholarly output demonstrates consistent focus on practical geotechnical challenges. His publication themes reveal evolving emphasis from fundamental soil mechanics to complex system behavior, with growing attention to sustainability and reliability-based design approaches in geotechnical engineering. Professor Moormann holds numerous leadership positions that reflect his standing in the field: Chairman of the German Geotechnical Society (DGGT) since 2022 Head of the "Earth and Foundation Engineering" section of DGGT since 2018 German Delegate to Eurocode 7 Technical Committee (TC 250/SC 7) Chair of the DIN Standards Committee "Piles" (NABau 005-05-07) Member of the Professional Image Committee of ISSMGE His professional activities extend to significant consulting work through his own firm "Prof. Moormann Geotechnik Consult" established in 2010, and leadership of the PÜZ certification office. Moormann serves as an officially appointed expert for earthworks, foundation engineering, and rock engineering. His work on developing practical engineering standards through multiple DIN committees and Eurocode 7 implementation demonstrates his commitment to bridging academic research with practical engineering applications. The Institute of Geotechnics under Professor Moormann's leadership maintains strong connections with industry through its COMMAS program and extensive field testing capabilities. His team actively participates in developing practical engineering solutions for complex geotechnical challenges, particularly in deep foundation systems, excavation support, and sustainable geotechnical applications including geothermal energy systems.

• Computational Linguistics
• Natural Language Processing (NLP)
• Dependency Parsing
• +۵ مورد دیگر

Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.

• Fatigue strength of aluminum structures
• Fracture mechanics
• Railway bridge assessment
• +۴ مورد دیگر

Dorina Siebert is a Researcher at the Chair of Metal Construction within the School of Engineering at the Technical University of Munich. She has been working as a research assistant at the Chair since 2019, contributing to various research projects related to steel and aluminum construction, fracture mechanics, and additive manufacturing in construction. Education: M.Sc. in Civil Engineering from Technical University of Munich (2012-2019) Affiliation: Chair of Metal Construction, School of Engineering, Technical University of Munich Contact: dorina.siebert@tum.de, Room 0101.Z1.038, +49 (89) 289-22527 Dorina's research primarily focuses on the fatigue strength of aluminum structures, fracture mechanics in railway bridges, and the application of additive manufacturing techniques in construction. Her work on powder bed-based laser beam melting of metal has significant implications for modern construction methods. She also investigates safe operating time intervals for historic steel bridges and has contributed to the development of a mobile vehicle barrier, demonstrating the practical applications of her theoretical work. Her publication record shows a strong trend toward computational and experimental analysis of material behavior under stress, particularly in aluminum alloys and steel structures. She has published extensively on fatigue properties, fracture mechanics calculations, and additive manufacturing applications, with a clear progression toward more complex modeling techniques and practical engineering solutions. Her work bridges theoretical computational models with real-world infrastructure challenges. Dorina teaches courses including 'Constructing with aluminum' for the Summer semester 2025 and 'Fracture mechanics and fatigue' for the Winter semester 2024/25. She also leads a seminar on plate buckling and steel bridge construction, sharing her specialized knowledge with engineering students. Her teaching directly reflects her research expertise, creating a strong connection between theoretical knowledge and practical application for her students.

Victor Vianuمشاهده پروفایل

استاد

• database theory
• verification
• computational logic
• +۳ مورد دیگر

Victor Vianu is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego, within the Jacobs School of Engineering. His work focuses on the intersection of database theory and verification techniques, particularly in the context of data-driven business processes and workflows. Research Interests Professor Vianu's primary research interests span database theory, verification of database-driven systems, and computational logic. His current work focuses on automatic verification of interactive data-driven web services and business processes, exploring how to provide customized workflow views for different stakeholders in organizational settings. His research addresses significant technical challenges at the intersection of data management and process modeling, requiring novel approaches that go beyond traditional relational algebra to handle both data and process aspects simultaneously. His work on data-driven business processes investigates how to specify, analyze, and synthesize views of workflows that expose only information relevant to specific user roles. This research has important applications in e-commerce, digital government, healthcare, and scientific infrastructure, where different stakeholders require varying levels of workflow abstraction and detail. Research Contributions and Trends Professor Vianu's recent publications demonstrate a consistent focus on the integration of data management and workflow processes. His work has evolved from foundational database theory to increasingly practical applications in business process management. A key trend in his research is the development of formal frameworks for workflow views that maintain consistency while providing appropriate abstractions for different user roles. His publications reveal a progression from theoretical foundations to more applied aspects of workflow verification and integration, often in collaboration with researchers from INRIA and other institutions. Advising and Research Support Professor Vianu leads the UCSD Database Laboratory, which conducts research on database systems and theory. He currently advises graduate student Marysia Tran and has likely mentored numerous other students throughout his career. His research is supported by the National Science Foundation under grant "Views of Data-Driven Business Processes: Foundations and Applications" (NSF Project III 1815247). This project brings together techniques from logic, automata theory, complexity theory, algorithms, and automatic verification to address challenges in workflow management. Research Environment Professor Vianu is an active member of the UCSD Database Laboratory, which maintains a regular research seminar series. He has collaborated extensively with researchers including Alin Deutsch (UC San Diego), Serge Abiteboul (INRIA and ENS-Paris), Pierre Bourhis (Univ. of Lille and CNRS), and Adrien Koutsos (ENS Cachan). His foundational work includes co-authoring the influential textbook "Foundations of Databases" with S. Abiteboul and R. Hull, which remains a standard reference in database theory.

Franz Lennard Ricklefsمشاهده پروفایل

استاد

• Neurosurgery
• Neuro-oncology
• Molecular Neurobiology
• +۵ مورد دیگر

Prof. Dr. med. Franz Lennard Ricklefs is a Senior Physician and Head of the Working Group at the Department of Neurosurgery, University of Hamburg Faculty of Medicine. He is a Medical Specialist in Neurosurgery with cross-disciplinary expertise in neuro-oncology, molecular pathology, and extracellular vesicle research. Affiliations: University Medical Center Hamburg-Eppendorf (UKE), European Liquid Biopsy Society (ELBS), International Consortium on Meningiomas (ICOM) Research Interests: His work focuses on neurosurgical oncology, particularly glioblastoma and meningioma pathobiology. He investigates DNA methylation patterns, extracellular vesicle biomarkers, and liquid biopsy implementation in clinical neuro-oncology. Additional interests include surgical outcomes for epilepsy and aneurysm management. Article Trends: Over the last decade, Dr. Ricklefs has published extensively on: Extracellular vesicle applications as liquid biopsy markers DNA methylation subclasses for glioblastoma and meningioma Multicenter surgical outcome benchmarking Immune evasion mechanisms in neuro-oncology Technological innovations in neurosurgical visualization Molecular characterization of rare CNS tumors Professional Contributions: He co-authored the MISEV2023 guidelines for extracellular vesicle studies and participates in international consensus reviews for meningioma classification. His collaborations span institutions across Europe and North America.

• World Englishes
• Corpus Linguistics
• Gender and Language
• +۷ مورد دیگر

Prof. Robert Fuchs holds the Frommann Professorship of Applied English Linguistics at the University of Bonn, leading the Chair of Bonn Applied English Linguistics (BAEL) within the Department of English, American and Celtic Studies. His research focuses on World Englishes, corpus linguistics, sociolinguistics, and the impact of artificial intelligence on linguistic analysis. He actively supervises PhD students in topics aligned with his research group's interests, emphasizing empirical work and data science. Recent research explores language change in varieties like Hong Kong English, Trinidadian prosody, and intensifier usage across cultures. Fuchs frequently presents at international conferences, including ISLE, ICAME, and Sociolinguistics Symposium, and publishes extensively in journals like World Englishes and Language and Speech . His teaching includes advanced courses on corpus linguistics and language in culture, with a focus on climate change discourse analysis. He maintains an active academic presence through ResearchGate, Academia.edu, and LinkedIn. Research Interests: Fuchs investigates sociolinguistic variation, AI applications in linguistics, and the structural features of postcolonial Englishes. His work addresses topics such as vowel mergers in Hong Kong English, lexical stress perception in Indian English, and the role of gender in language use. He also explores diachronic changes in aspects like stative progressives and the perfect-past alternation across Asian Englishes. Advising & Grants: Fuchs oversees PhD student recruitment through research associate positions and self-funded scholarships, prioritizing applicants with strong empirical and analytical skills. His funded projects include studies on pandemic discourse (DisCOVIndUK) and linguistic trends in Caribbean English. His lab, BAEL, collaborates internationally, with ongoing work on Trinidadian prosody and Northeast Indian linguistic ecology. Labs/Teams: The Bonn Applied English Linguistics (BAEL) group, part of the University of Bonn's IAAK institute, focuses on cutting-edge research in global Englishes and computational linguistics, hosting international workshops and fostering interdisciplinary collaboration.

Martin Stürzlingerمشاهده پروفایل

استاد

• Digital Archiving
• Electronic Records Management
• OAIS Model
• +۵ مورد دیگر

Dr. Martin Stürzlinger is a Part-Time Professor for Digital Archiving at the Department of Information Sciences, University of Applied Sciences Potsdam. He also operates his consulting firm Archiversum, advising organizations on long-term information storage (www.archiversum.com). His work bridges academic research with practical applications in digital preservation. Research Interests: Dr. Stürzlinger specializes in digital archiving, focusing on the OAIS model, life-cycle management, and archival description standards like Records in Contexts (RiC). His research addresses organizational challenges in digital preservation, legal compliance (e.g., GDPR), and metadata design for accessibility. Recent Publications: His selected works explore OAIS implementation, the impact of GDPR on private archives, and the evolution of archival description standards. These contributions highlight trends in digital preservation, emphasizing interoperability, sustainability, and cross-institutional collaboration. Collaboration & Standards: He actively contributes to international working groups, including ICA-EGAD (Archival Description) and nestor's certification standards for digital archives. His efforts in standardization include the Austrian implementation of ISAD(G) and ISDIAH, as well as Swiss guidelines for electronic records management. Teaching & Outreach: Dr. Stürzlinger has lectured extensively, including courses on archive management at BFI Vienna and IT applications in archives at the University of Vienna. He has delivered over 40 lectures globally, addressing topics like cost estimation for digital archiving and the role of corporate archives in business efficiency.

Kathi Dielمشاهده پروفایل

دانشیار

• Social Comparison Processes
• Motivation Psychology
• Emotion and Goal Pursuit
• +۳ مورد دیگر

Dr. Kathi Diel serves as an Akademische Rätin (Academic Councilor) at Saarland University, holding a tenured faculty position equivalent to Associate Professor in the Department of Psychology within the Faculty of Social Sciences. Her research profile demonstrates active engagement in both theoretical and applied psychological research with international collaborations spanning multiple continents. Dr. Diel's research focuses primarily on social comparison processes and their motivational consequences, with particular emphasis on how comparison direction (upward vs. downward) and extremity (moderate vs. extreme standards) influence goal pursuit behaviors. Her work reveals that upward comparisons enhance self-improvement motivation when standards are moderate and attainable, but lead to goal disengagement when standards are extreme. She has developed a comprehensive motivational framework that identifies three key response patterns to social comparisons: pushing (increased effort), coasting (reduced effort), and disengagement (giving up). More recently, Dr. Diel has expanded her research to environmental psychology, investigating how social comparison dynamics affect climate action behaviors. Her work reveals that people often engage in downward comparisons regarding environmental behavior to maintain positive moral self-images, which can lead to reduced effort in climate action (coasting). She explores interventions that might shift people toward more motivating upward comparisons in environmental contexts. Her publication record shows consistent high-impact output with numerous articles in top psychology journals including Journal of Personality and Social Psychology , Personality and Social Psychology Bulletin , and Journal of Environmental Psychology . Her recent work has increasingly focused on large-scale international collaborations, most notably the International Climate Psychology Collaboration spanning 63 countries, demonstrating her growing influence in global environmental psychology research. Dr. Diel collaborates extensively with prominent researchers including Wilhelm Hofmann, Martina Friese, and the international team behind the global climate intervention studies. Her research methodology combines experimental laboratory studies with real-world intervention approaches, demonstrating both theoretical rigor and practical application. Her work bridges fundamental social psychology with pressing contemporary issues, particularly climate change behavior. By applying social comparison theory to environmental contexts, she has created a novel research trajectory that addresses how people's perceptions of others' environmental behaviors influence their own climate action efforts.

• Auralisation
• Room Acoustics
• Building Acoustics
• +۷ مورد دیگر

Univ.-Prof. Dr. rer. nat. Michael Vorländer is a full Professor and Chair of Technical Acoustics at the Institute of Technical Acoustics (ITA), Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Germany. He has been the head of the institute since 1996 and is a leading figure in acoustics research and academic leadership. His extensive service includes being President of the European Acoustics Association (EAA), the International Commission for Acoustics (ICA), the German Acoustical Society (DEGA), and elected President of the Acoustical Society of America (ASA) for 2024–2027. Education: Diplom-Physiker, RWTH Aachen (1984); Dr. rer. nat., RWTH Aachen (1989); Dr.-Ing. habil., TU Dresden (1995) Professional Leadership: Pro-Dean (2007) and Dean (2009) of Faculty of Electrical Engineering and Information Technology, RWTH Aachen; Spokesperson of Professors, RWTH Aachen (2012) Editorial Roles: Editor-in-Chief, Acta Acustica (1998–2003); Editorial Board, Applied Acoustics (since 1996) Michael Vorländer's primary research interests lie in the fields of auralization, room acoustics, building acoustics, psychoacoustics, acoustic measurement technology, and virtual acoustics . His work integrates physical acoustics with human perception, focusing on the simulation and reproduction of sound fields in virtual environments. He leads research in binaural technology, electroacoustics, and auditory scene analysis, with applications in noise research and interactive virtual environments. His group is involved in the Priority Program SPP2236 - AUDICTIVE, focusing on auditory cognition in interactive virtual settings. While specific recent publications are not listed, his research output is extensive, as indicated by links to filtered publications. His body of work consistently bridges theoretical modeling, experimental validation, and practical application in architectural and virtual acoustics, contributing to both engineering standards and perceptual understanding. Michael Vorländer has received numerous scientific awards recognizing his contributions to acoustics, including the prestigious RWB Stephens Medal, W.C. Sabine Medal, and Rayleigh Medal . He is a Fellow of the Acoustical Society of America and holds honorary memberships and awards from acoustical societies in Europe and beyond. He advises doctoral students and leads a multidisciplinary research team at the ITA, fostering collaboration in areas like acoustic virtual reality and spatial audio. His leadership in international societies and editorial boards highlights his role in shaping the global acoustics community. He has been instrumental in advancing research infrastructure and academic collaboration in technical acoustics. The research at his institute is organized into key areas: Acoustic Virtual Reality and Auralization, Binaural Technology and Spatial Audio, Auditory Scene Analysis, Psychoacoustics and Noise Research, Electroacoustics, and Room Acoustics. These labs and teams work on projects ranging from fundamental auditory perception to applied engineering solutions for noise control and virtual sound environments.

Katja Thoringمشاهده پروفایل

استاد

• Creative Workspace Design
• Design Thinking
• Generative AI in Design
• +۵ مورد دیگر

Prof. Dr. Katja Thoring is a Full Professor of Integrated Product Design at the Technical University of Munich (TUM School of Engineering and Design). She holds a doctorate in Design Research from Delft University of Technology and has previously served as Professor of Integrated Design at Anhalt University of Applied Sciences in Dessau from 2009–2022. Her research bridges product design, architectural space, and technology, focusing on how physical environments stimulate creativity and design processes across functional, emotional, and cognitive dimensions. Key areas include generative AI applications in design, innovative research methodologies, and creative workspace design. She developed methods like the 'Delphi Design Sprint' and contributed to frameworks such as the FOD (Future-Oriented Design) model. Thoring is a member of prominent design societies (DGTF, Design Society, DRS) and a founding member of the Academy of Design Innovation Management (ADIM). Notable awards include the 'Best Paper Award' at ADIM Conference (2017) and recognition as a top early-career researcher (2019). Her work integrates design education innovation, with studies on pedagogical spaces and cross-cultural design thinking. She has published extensively on design knowledge models, creative environments, and future-oriented design strategies.