جستجوی استاد راهنمای دانشگاهی

Fabian Wolfمشاهده پروفایل

پژوهشگر

• Experimental stress ecology
• Marine heatwaves
• Climate change impacts on benthic communities
• +۳ مورد دیگر

Dr. Fabian Wolf is a researcher at the Leibniz-Institute for Baltic Sea Research (IOW) in Rostock, Germany. His work focuses on experimental stress ecology , analyzing how marine heatwaves , upwelling events , and climate change affect benthic species communities in the Baltic Sea. He specializes in mesocosm systems and long-term abiotic data analysis , particularly in Arctica islandica community dynamics and Blue Carbon processes. His recent research examines the interplay between temperature variability and ecological resilience , with publications on keystone predator stress responses and macroalgal community fluctuations . Funded by the Deutsche Bundesstiftung Umwelt (DBU) , his doctoral scholarship supports studies on extreme climate events and their mitigation potential. Dr. Wolf has presented at international conferences, including the Swedish Oikos Conference (2023) and British Ecological Society's Festival of Ecology (2020). His work integrates physical oceanography with biological impacts , contributing to understanding coastal ecosystem stability under environmental change.

• Computer Science Education
• Artificial Intelligence Education
• K-12 Computer Science
• +۵ مورد دیگر

Fred G. Martin is a Professor in the Department of Computer Science at the University of Massachusetts Lowell's Manning College of Information Sciences. With a research career spanning over 25 years, his work has evolved from foundational educational robotics in the 1990s to contemporary AI literacy initiatives for K-12 students. His current research focuses on developing accessible tools and curricula that make artificial intelligence concepts tangible for middle school learners. Dr. Martin's research interests center on computer science education, particularly AI education for K-12. His work bridges theoretical computer science concepts with practical, age-appropriate learning experiences. He has pioneered approaches to teaching machine learning concepts through interactive tools like TrainYourSnakeAI for reinforcement learning and ChemAIstry for model training. His research consistently emphasizes ethical considerations in AI education, as seen in projects like AI MyData that integrate ethics into machine learning curricula. Martin's work demonstrates how complex AI concepts can be made accessible through carefully designed educational interfaces that balance engagement with conceptual accuracy. Analysis of Martin's recent publications reveals a clear trajectory toward increasingly sophisticated AI education tools for younger learners. His work has evolved from general computational thinking and robotics education to specialized AI literacy frameworks. The research shows strong emphasis on three interconnected themes: 1) developing age-appropriate metaphors for complex AI concepts, 2) creating interactive software tools that make abstract concepts tangible, and 3) investigating how students' mental models of AI develop through structured learning experiences. His collaborations often involve interdisciplinary teams including computer scientists, education researchers, and classroom teachers. Dr. Martin has been instrumental in building professional networks for computer science educators, particularly through projects that connect university researchers with K-12 teachers. His work on 'Building Teacher and Community Networks for Sustainable Middle School Computer Science Education' demonstrates his commitment to creating sustainable models for CS education beyond isolated curriculum initiatives. He has secured substantial research funding for projects focused on AI education, as evidenced by the scale and scope of his collaborative work across multiple institutions. Through initiatives like the 'iSENSE' project and more recent AI education tools, Martin has established research environments that bridge university labs with classroom settings. His work often involves creating physical or digital 'exhibits' that allow students to interact with AI concepts in hands-on ways, reflecting his longstanding interest in tangible interfaces for learning. These environments serve as testbeds for both educational research and practical curriculum development.

Martin Gaedkeمشاهده پروفایل

استاد

• Web Engineering
• Knowledge Engineering
• Artificial Intelligence (AI)
• +۴ مورد دیگر

Prof. Dr.-Ing. Martin Gaedke is a Full Professor and Dean of the Department of Computer Science at Technische Universität Chemnitz (TU Chemnitz). He leads the research group Distributed and Self-organizing Systems (VSR) and holds roles such as President of the International Society of Web Engineering (ISWE), founder of the International AIQT Foundation, and member of the German Foundation for University Admissions' IT-advisory board. His expertise spans Web Engineering, AI-driven systems, and decentralized technologies. Education: Martin Gaedke earned a Master's degree (1997) and doctoral degree (2000) in Computer Science/Engineering from the University of Karlsruhe (now Karlsruhe Institute of Technology). Research Focus: Gaedke's work advances collaborative systems in hyper-connected societies, emphasizing Web Engineering, knowledge engineering, and AI-supported hypermedia systems. Key areas include chatbot design patterns, decentralized web trust, smart IoT systems, and end-user development tools. His contributions include pioneering work in Web Engineering since the 1990s, notably co-authoring the first Web Engineering paper at WWW6 (1997). Recent Trends in Publications: Recent research highlights dynamic code migration, GenAI-driven UIs, and ethical AI in chatbots. He emphasizes trust in decentralized systems (e.g., Solid-based social networks) and practical applications like autonomous smart home agents (WS3H). Awards: Ranked 39th globally in Knowledge Engineering (2020), honored with the AI 2000 Most Influential Scholars Honorable Mention and listed in the AI 2000 Annual List. His work is cited over 1,800 times in key areas like Web Engineering and IoT. Advising & Outreach: Gaedke has mentored numerous researchers and entrepreneurs through roles as a Certified High Performance Coach and business advisor. His lab, VSR, develops open-source tools like the Web-Based Network Simulator (WNSWE) for education and industry. Labs/Teams: The Distributed and Self-organizing Systems (VSR) group at TU Chemnitz focuses on innovative projects such as the Trusting Decentralized Web Data framework and the GenAI-Driven Multimodal UI Architecture .

Frank Wenzhöferمشاهده پروفایل

پژوهشگر

• Biogeochemistry
• Marine Ecology
• Environmental Science
• +۳ مورد دیگر

Frank Wenzhöfer is a Scientist at the Max Planck Institute for Marine Microbiology, leading the HGF MPG Joint Research Group for Deep-Sea Ecology and Technology. His research focuses on benthic ecosystems, biogeochemical processes, and the development of advanced in situ sensor technologies. He collaborates with institutions like the Alfred Wegener Institute (AWI) and contributes to international expeditions such as PS143 and SO261, studying deep-sea trenches, cold seeps, and hydrothermal vents. His work bridges microbiology, geochemistry, and engineering to address global environmental challenges like deep-sea mining impacts and climate change effects on marine carbon cycles. Frank’s research interests include benthic primary production, sediment remineralization dynamics, and the role of microbial communities in regulating carbon and nutrient cycles. He pioneers cost-effective sensor platforms and autonomous lander systems for polar and hadal zone exploration, emphasizing real-time data collection and environmental monitoring. Recent studies highlight his focus on the Atacama Trench, Kuril-Kamchatka Trench, and Arctic outflow shelves, investigating sedimentation patterns, meiofauna distributions, and microbial adaptations to extreme environments. His group’s projects often involve analyzing baseline benthic activity to assess human impacts, such as mining on polymetallic nodules and glacial melt disturbances on Antarctic ecosystems. Collaborations extend to developing novel measurement models for diffusive fluxes and assessing the ecological consequences of environmental changes. Despite no explicit awards mentioned, his contributions to deep-sea technology and trench ecology are recognized through his active role in high-profile expeditions and publications. In advising and grants, Frank’s group participates in the International Max Planck Research School (MarMic) but no specific students or grant details are listed. His team’s technical innovations include the DeepC3000 pressure housing system, enabling deep-sea deployments. Research outcomes are disseminated through expeditions, sensor data repositories, and close ties with the institute’s scientific coordination and technical workshops. Frank’s work is anchored in the institute’s broader mission of studying marine microbes’ roles in global biogeochemical cycles. His laboratory specializes in integrating field observations with advanced instrumentation, creating a unique niche in hadal and polar deep-sea research. Future projects aim to refine in situ measurement techniques and better understand human-induced changes to benthic ecosystems.

Wil van der Aalstمشاهده پروفایل

استاد

• Process Mining
• Data Science
• Petri Nets
• +۸ مورد دیگر

Wil van der Aalst is a full professor at RWTH Aachen University , leading the Process and Data Science (PADS) group . He serves as Chief Scientist at Celonis , part-time affiliated with Fraunhofer FIT , and holds an unpaid professorship at Queensland University of Technology . His roles include deputy CEO of the Internet of Production Cluster of Excellence, co-director of the RWTH Center for Artificial Intelligence , and speaker of the RWTH ICT Profile Area . Research Interests : Wil van der Aalst pioneered process mining , bridging model-based process analysis (e.g., Petri nets, simulation) and data-centric techniques (e.g., machine learning). His work spans business process management , workflow modeling , interorganizational workflows , and data science . He developed tools like ProM , YAWL , and Woflan , influencing process mining standardization and commercial tools ( Celonis , Disco , etc.). Scientific Contributions : He has authored over 300 journal papers, 35 books, 720 conference papers, and 90 book chapters. His H-index of 184 and over 158,000 citations reflect his global impact. Key articles focus on workflow patterns , YAWL , interorganizational workflow verification , and social network discovery from event logs . Awards and Honors : Recipient of the Alexander von Humboldt Professorship (2018, €5M), he is an IFIP , IEEE , and ACM Fellow , and elected to multiple academies (e.g., Koninklijke Nederlandse Akademie van Wetenschappen, Academia Europaea). He received honorary degrees from Moscow Higher School of Economics , Tsinghua University , and Hasselt University .

Wolfgang Prinzمشاهده پروفایل

استاد

• Blockchain Technologies
• CSCW
• Cooperative Software Systems
• +۵ مورد دیگر

Prof. Wolfgang Prinz holds dual leadership roles as Vice Chair/Deputy Director at Fraunhofer Institute for Applied Information Technology (FIT) and Professor for Cooperation Systems at RWTH Aachen University. He leads the CSCW (Computer-Supported Cooperative Work) Research Department, driving innovation in collaborative technologies. His research bridges academic rigor and industrial application, with Fraunhofer FIT serving as a key implementation hub for his work. His research explores the intersection of human collaboration and digital systems, focusing on: Blockchain evolution : Developing applications for supply chains, education credentials, and administrative systems CSCW frameworks : Creating metrics for cooperative systems and social groupware Enterprise collaboration : Implementing Web 2.0/Enterprise 2.0 paradigms in organizational contexts Pervasive computing : Integrating games and IoT into cooperative environments Recent publications demonstrate strong emphasis on blockchain's transformative potential, accounting for over 60% of his 2018 research output. This work spans diverse domains including food safety, education, logistics, and identity management, consistently addressing security, decentralization, and regulatory compliance challenges. Prof. Prinz founded and directs the Fraunhofer Blockchain Lab, serving as both research facility and industry collaboration platform. He actively promotes knowledge transfer through workshops like 'Blockchain applications in administration and utilities' and delivers frequent keynote addresses at international conferences. His leadership extends to editorial roles in journals like Computer Supported Cooperative Work and conference chair positions for events including ACM GROUP and ECSCW.

Edward Curryمشاهده پروفایل

استاد

• Semantic Computing
• Dataspaces
• FAIR Data Principles
• +۲ مورد دیگر

Edward Curry is a Professor at the University of Galway, Ireland, specializing in semantic computing and dataspaces research. His work focuses on semantic foundations of data ecosystems, cross-domain integration, and applications of large language models for FAIR (Findable, Accessible, Interoperable, Reusable) data principles. Research interests include: Semantic interoperability in decentralized systems Knowledge graph development for dataspaces LLM-driven metadata generation and data discovery Governance frameworks for cross-domain data sharing He collaborates internationally with institutions like RWTH Aachen University and mentors graduate students, including doctoral candidate Theissen-Lipp, J. His recent publications analyze technical challenges and future directions in semantic dataspaces.

Irmtraud M. Meyerمشاهده پروفایل

استاد

• Bioinformatics
• RNA Biology
• Computational Biology
• +۵ مورد دیگر

Dr. Irmtraud M. Meyer is a Full Professor at the Freie Universität Berlin (Department of Biology, Chemistry and Pharmacy, Institute of Biochemistry) and a Senior Group Leader at the Berlin Institute for Medical Systems Biology (BIMSB) at the Max Delbrück Center (MDC). She also holds an Adjunct Professorship at the Department of Mathematics and Computer Science, Freie Universität Berlin. Her research focuses on bioinformatics of RNA structure and transcriptome regulation, with expertise in computational methods for analyzing RNA-RNA interactions, co-transcriptional folding, and functional RNA features. She leads the Meyer Group, which develops tools like e-RNA, CoFold, and R-Chie for RNA structure prediction and visualization. Education: PhD in Computational Biology (2002) at the University of Cambridge and Wellcome Trust Sanger Institute Postdoctoral research at the European Bioinformatics Institute (2004-2005) and University of Oxford (2002-2004) Studies in physics and mathematics at RWTH Aachen, University of Paris XI, and CERN (1993-1998) Research Interests: Her work centers on understanding RNA structure dynamics, particularly trans RNA-RNA interactions in host-pathogen systems, co-transcriptional folding pathways, and the role of RNA structures in regulating gene expression. She combines computational methods with experimental collaborations to identify therapeutic targets and improve structural predictions. Awards: Helmholtz Distinguished Professorship (2016-2020) Marie Curie Fellowship (Senior, 2009; Junior, 2007) Wellcome Trust Prize Student (2000-2002) Advising & Grants: Supervises graduate and postdoctoral researchers in computational biology and collaborates internationally. Key grants include Helmholtz funding and support from the European Union and Canadian agencies. Her lab hosts interdisciplinary teams and welcomes students/postdocs in bioinformatics and RNA biology. Labs/Teams: Meyer Group (BIMSB-MDC), focusing on computational RNA biology with tools like e-RNA web-server, CoBold, and CYCLER. Active collaborations span structural biology, systems biology, and virology.

• Computer Science
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Daniel Schulz is an active researcher in computer science with a focus on machine learning and security, publishing in venues like Neurocomputing , Sensors , and conferences such as CASE and IJCB . His work spans biometric authentication, computer vision, and software engineering applications. 2025 : Single-morphing attack detection using triplet-loss networks 2024 : Comparative optical pose estimation studies for electronics packaging 2023 : Two-stage pedestrian detection for domain generalization 2022 : Identity document quality assessment frameworks His research integrates machine learning with practical security solutions, including biometric liveness detection and ID card spoofing prevention. Recent publications emphasize synthetic data and few-shot learning techniques. Key publication trends include: Biometric security (2023-2025) Computer vision applications (2021-2024) Software engineering and agricultural tech (2009-2021)

• Artificial Intelligence
• Natural Language Processing
• Linked Data
• +۸ مورد دیگر

Professor Kai Eckert holds the position of Professor for Artificial Intelligence at the Department of Computer Science, Mannheim University of Applied Sciences since March 2023. His research focuses on Artificial Intelligence, Natural Language Processing, Linked Data, and their applications in Social Sciences, Information Science, and Digital Humanities. He has contributed to projects like JudaicaLink and Linked Open Citation Database, emphasizing data integration and provenance. Research Interests: His work spans AI-driven solutions for data management, semantic technologies, and domain-specific knowledge bases. Notable areas include RDF validation, metadata modeling (RDF-Star, Named Graphs), and cross-lingual summarization (X-SCITLDR). He explores ethical and technical aspects of data provenance in scholarly communication and library systems. Publications: Over 35+ peer-reviewed works since 2007. Key themes include semantic web applications, metadata provenance (e.g., Dublin Core extensions), and crowdsourced ontology development. Recent trends highlight AI in social networks (cyberbullying detection) and multilingual NLP systems. Grants & Collaboration: Active in EU-funded initiatives and international conferences (e.g., ISWC, ESWC). Developed tools like Semtinel for interactive indexing and ICE-Map for KOS evaluation. Collaborates with institutions like Stuttgart Media University and Springer.

• Natural Language Processing
• Cyberbullying Detection
• Semantic Web
• +۳ مورد دیگر

Dr. Maral Dadvar is a Research Fellow at Stuttgart Media University, specializing in Natural Language Processing (NLP) and its applications to social challenges. She holds a PhD in Computer Science from the University of Twente, Netherlands, where her doctoral work focused on cyberbullying detection in social networks. Her current research integrates NLP with identity resolution techniques for the FID Judaica project, aiming to enhance data integration in Jewish cultural heritage domains. Key areas of expertise include cyberbullying detection algorithms, domain-specific knowledge bases (e.g., JudaicaLink), and ethical AI applications. Her work bridges technical innovations with societal needs, addressing issues like online safety and cultural heritage digitization. Dadvar collaborates internationally with institutions like LIBER and the European Research Libraries network. Publications span interdisciplinary topics such as conservation conflict analysis using NLP, linked open data standards, and multilingual entity disambiguation. She actively mentors students pursuing Bachelor’s and Master’s theses in these domains. Her research emphasizes practical solutions for real-world challenges, combining computational methods with human expertise.

Mahsa Fischerمشاهده پروفایل

استاد پژوهش

• Human-Computer Interaction
• Artificial Intelligence (AI)
• User Experience (UX) Design
• +۶ مورد دیگر

Prof. Dr. Mahsa Fischer is a Research Professor in Human-Centered Software Development and Human-AI Interaction at Heilbronn University's Business Informatics department. She leads the InduKo research project on innovation through collaboration and manages a cancer counseling app development initiative. Her work bridges academia and industry, emphasizing user-centric design and AI ethics. Fischer mentors women in IT and promotes digital transformation through workshops and conferences. She actively reviews for top HCI conferences like CHI and IUI. Key research areas include generative AI applications, UX frameworks, and collaborative innovation ecosystems. Education and career highlights include contributions to gamification, e-learning systems, and healthcare technology. She collaborates internationally, with projects in Germany and Finland focusing on software reusability and project portfolio platforms like IdeaLize . Fischer's mentorship programs support student and early-career researchers in web and mobile systems development. Her publications explore themes such as AI-assisted software engineering, emotion recognition in oncology care, and trust-building in conversational AI. Fischer advocates for strategic diversity in tech through initiatives like WINit , a mentoring network for female students in business informatics.

• Cost Management
• Search Engine Optimization
• Controlling
• +۵ مورد دیگر

Prof. Stefan Georg is a Professor of Service Management at Saarland University of Applied Sciences (htw saar), specializing in cost management, controlling, and entrepreneurship. He holds a Ph.D. in Business Administration (Dr. rer. oec.) from Saarland University (1996) and has over 25 years of professional experience in business consulting and academic roles. His teaching spans cost accounting, web-based knowledge management, business planning, and laboratory management. Research focuses include search engine optimization (SEO), cost management systems, entrepreneurial business models, and the impact of digitalization on controlling processes. Notable projects include the 5 Euro StartUp initiative and studies on inflation effects on corporate valuation. He has authored over 20 books on topics like cost accounting, lean management, and startup strategies. Prof. Georg leads study programs in laboratory and quality management and serves on university committees (e.g., examination board for dual-degree programs). He also advises the Saarbrücken Alumni Network and teaches lab management for Klinkner & Partner GmbH. Awards: Winner of the State Teaching Prize for Higher Education (htw saar) Grants/Projects: Gründungsplanung projects (2009–2013), digitalization-driven controlling studies, and lean change management analyses. Labs/Teams: Involved in innovation labs, dual education frameworks, and interdisciplinary research groups.

Johannes Schobelمشاهده پروفایل

استاد پژوهش

• Digital Medicine
• Health Informatics
• Mobile Health (mHealth)
• +۳ مورد دیگر

Professor Dr. Johannes Schobel is a Research Professor in Digital Medicine and Care at Neu-Ulm University of Applied Sciences, where he also serves as Academic Advisor and Head of the Health Informatics (B.Sc.) degree programme. His work focuses on mobile health (mHealth) applications, AI-driven medical imaging, and digital solutions for clinical challenges such as tinnitus, pediatric behavioral analysis, and cancer therapy. He leads projects integrating machine learning with clinical workflows, including tumor segmentation algorithms and telemedicine platforms. His research spans mHealth app development, medical device regulation, and interdisciplinary approaches to healthcare innovation. Notable projects include the ProVIA trial for pediatric behavioral analysis via smartphones, the Corona Health platform for pandemic monitoring, and AI-based tools for histopathological analysis of glioblastoma. He emphasizes user-centric design in healthcare technology, addressing gaps between clinical needs and digital solutions. Recent work explores ecological momentary assessment for chronic conditions, such as tinnitus variability tracking and stress management. He collaborates with industry through the Technology Transfer Center (TTZ) Günzburg to translate research into practical tools, exemplified by AI-supported web applications for game developers and geriatric care systems. His academic contributions include over 50 peer-reviewed publications, focusing on mHealth app evaluation frameworks, machine learning in pathology, and digital twin technologies for healthcare systems. He advises on ethical medical device regulation and has pioneered gamification strategies for orofacial therapy adherence in children.

Heiko Seifمشاهده پروفایل

استاد

• International Business
• Innovation
• Entrepreneurship
• +۴ مورد دیگر

Prof. Dr. Heiko Seif is a Professor of International Management and Academic Director of the Master Sports Business and Communication program at Munich Business School. He also serves as Vice Dean for Research. His academic career includes teaching at German universities and extensive consulting in automotive and aircraft sectors. He founded CNX Consulting Partners and currently works as a Senior Manager in IT Management at UNITY AG. He holds a doctorate from the Universities of Stuttgart and Bratislava, focusing on Eastern European companies' internationalization during economic transition. His research emphasizes innovation, Industry 4.0, entrepreneurship, and sustainable management. Key areas include market entry strategies, technology management, and the digital transformation of industries. He has led initiatives like the TOP business administration program at Ludwig Maximilian University of Munich and co-organized events such as the Workshop on e-Business (WeB 2019) and Hackathon Predictive Maintenance. Publications span topics like autonomous driving challenges, Industry 4.0 business models, and market entry strategies for Japan. His work bridges academic research with practical business applications, particularly in high-tech and industrial sectors.