جستجوی استاد راهنمای دانشگاهی

Thomas Riechert is a Professor at the Leipzig University of Applied Sciences (HTWK Leipzig), specifically within the Faculty of Computer Science and Media. He serves as Dean of Media Informatics, Chairman of the Media Informatics Study Commission, and Academic Advisor for Media Informatics. Additionally, he is a Member of the Faculty Council, Faculty representative in the IT committee, and Library Commission. He also acts as Spokesperson of the Institute of Computer Science at the HTWK. Appointed in 2014 in the field of information systems and data management, Riechert holds a doctorate from the University of Leipzig (2012, magna cum laude) and graduated as a computer scientist from TU Dresden in 2000. Professor Riechert's research focuses on information systems, data management, Semantic Web technologies, knowledge engineering, and Linked Data. His work bridges computer science with digital humanities, particularly in creating knowledge graphs for historical research. He has made significant contributions to RDF vocabulary management, ontology editing tools, and academic history databases. His research demonstrates a strong emphasis on practical applications of semantic technologies in information management systems. Analysis of his recent publications reveals a consistent trajectory in semantic web technologies applied to knowledge representation and historical data. His work shows progression from foundational semantic technologies toward increasingly sophisticated applications in digital humanities, particularly in academic history research. The Heloise project appears to be a major focus, developing common research models for collaborative historical research using Linked Open Data. His publications span both technical aspects of semantic technologies and their application in humanities contexts. Professor Riechert actively contributes to academic community building through conference organization and student engagement. His leadership roles in the Faculty of Computer Science and Media demonstrate his commitment to shaping computer science education. His research integrates practical software development with theoretical advancements in knowledge representation. As Dean of Media Informatics, Riechert oversees academic programs and research initiatives in this field. His work with the Heloise network demonstrates leadership in interdisciplinary research connecting computer science with historical scholarship. His office hours are held on Mondays from 10:00 to 11:00 in room ZU 407 at HTWK Leipzig.

• Information Systems
• Data Management
• Semantic Web
• +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.

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

Prof. Dr. Peter Gomber is a Professor of e-Finance at the Faculty of Economics and Business Administration , Goethe University Frankfurt, since 2004. He co-chairs the Data Science Institute (efl) and holds adjunct professorships at the University of Bamberg (2004), Mannheim (2009), and Luxembourg (2018). His roles include board memberships at the Frankfurt Stock Exchange, Clearstream Banking AG, and advisory positions for European regulatory bodies. Education : Diplom-Kaufmann in Economics, University of Gießen (1999), PhD in Business Informatics. Research Interests focus on market microstructure , FinTech , electronic trading , and regulatory impacts on financial markets. His work explores algorithmic trading , liquidity dynamics , and AI-driven compliance . Publication Trends (15 most recent) emphasize digital finance , market fragmentation , regulatory analysis , and AI applications in trading and compliance. Key subfields include blockchain , high-frequency trading , and news-driven liquidity shocks . Scientific Awards : Reuters Innovation Award (2000) Hochschulpreis des Deutschen Aktieninstituts (1999) IBM SUR Grant (2007) Best Paper Awards (multiple conferences) Best Information Systems Publications Award (2020) Advising & Grants : Teaches in executive programs (Goethe Business School, Amsterdam Institute of Finance). Secured grants from public/private institutions, including a U.S. patent for market model innovation. Labs & Teams : Leads the e-Finance professorship and contributes to the Data Science Institute (efl) , fostering industry-academia collaborations with Deutsche Börse, Capveriant, and others.

• Market Microstructure Theory
• Digital Finance
• FinTech
• +۳ مورد دیگر

Slava Jankin is a Professor of Data Science and Government at the University of Birmingham’s School of Government, where he also serves as Deputy Director of the Institute for Data and AI and Founding Director of the Centre for Artificial Intelligence in Government. He is concurrently a Fellow and Founding Director of the Data Science Lab at the Hertie School in Berlin. Previously, he held a Professorship at the University of Essex and has worked at University College London (UCL) and the London School of Economics (LSE). His research bridges computational methods, governance, and climate policy, with a focus on AI applications in public institutions, climate-health surveillance, and misinformation resilience. Jankin earned a PhD in Political Science from Trinity College Dublin (2009), a Postgraduate Diploma in Statistics (2006), and a BSc from Belarus State Economic University (2002). **Education**: • PhD in Political Science, Trinity College Dublin (2009) • Postgraduate Diploma in Statistics, Trinity College Dublin (2006) • BSc Econ with Distinction, Belarus State Economic University (2002) **Research Interests**: Jankin’s work integrates AI and computational methods with governance challenges, including climate policy, health surveillance, and institutional effectiveness. He leads initiatives like the Lancet Countdown’s climate-health monitoring and the CATALYSE project on climate impacts. His research also explores digital twins for governance systems and the role of cultural diversity in societal resilience against misinformation. **Grants & Collaborations**: He advises the UN and EU on AI and data science, co-leads the Lancet Countdown, and collaborates with institutions like the Alan Turing Institute. His applied work includes developing AI tools for public service optimization and policy simulations. **Labs & Teams**: Directs the Centre for AI in Government (University of Birmingham) and the Hertie School’s Data Science Lab, fostering interdisciplinary teams to advance computational methods in public policy.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Stefania Degaetano-Ortlieb is an Associate Professor of English Linguistics and Corpus Linguistics at Saarland University's Department of Language Science and Technology. She serves as Principal Investigator for the Collaborative Research Center (SFB 1102) 'Information Density and Linguistic Encoding,' leading Project B1 on diachronic information density in English scientific writing (17th century-present). Her interdisciplinary work bridges computational methods with sociolinguistics, focusing on register variation, language change, and digital humanities. Research interests center on text mining, data analytics, and probabilistic modeling of language variation. Key areas include: Diachronic evolution of scientific registers and linguistic densification Information-theoretic approaches to language efficiency Computational sociolinguistics and register diversification AI applications in humanities education (e.g., ChatGPT integration) Her publications show a strong trend toward quantitative diachronic analysis, with recent work emphasizing: interpretable AI models for linguistic change detection; propagandistic narrative analysis in conflict zones; and multi-word expression dynamics in scientific discourse. Cross-disciplinary collaborations frequently intersect with history, psychology, and media studies. Awards include the Fellowship Excellence Program for Young Female Scientists (2015-2018). Current grants: EU Horizon MSCA Doctoral Network 'CASCADE' (€521K to UdS, 2024-2027) Data-Pin Project for AI in education (€50K, 2023-2024) SFB 1102 Project B1 (€595K, 2022-2026) Advises PhD candidates in the EU CASCADE project on computational semantic change. Leads a research team exploring Russian media narratives, personality modeling in LLMs, and multi-word expressions. Directs teaching modules integrating AI tools for humanities students.

• Computational Linguistics
• Corpus Linguistics
• Sociolinguistics
• +۶ مورد دیگر

Michael T. Monaghan is a Professor at the Faculty of Biology, Chemistry and Pharmacy, Freie Universität Berlin, and leads the Research Group in Molecular Ecology and Genomics at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB). His work bridges evolutionary biology, molecular ecology, and environmental monitoring, focusing on freshwater systems and urban aquatic habitats. Education: B.S. (The Ohio State University, 1995), M.S. (Idaho State University, 1998), Dr. sc. nat. (ETH Zürich, 2002) Key Positions: Senior Scientist/Research Group Leader at IGB (2008–present), Visiting Professor at Duke-NUS Medical School (2016), Guest Professor at Ehime University (2015–2016) Dr. Monaghan's research explores freshwater biodiversity dynamics using molecular tools like metabarcoding and phylogenomics. His team investigates how environmental changes—climate warming, urbanization, pollution—affect microbial and insect communities, with a focus on eDNA applications and ecohydrology. His publications (2022–2025) span topics such as climate-driven plankton shifts, urban habitat adaptation by bees, toxin genetics in algae, and metagenomic monitoring of aquatic systems. Collaborative projects like BiNatUr and ODER~SO emphasize urban resilience and disaster ecology. Teaching includes data science in biology, evolutionary ecology, and environmental genomics at Freie Universität Berlin and the Institute of Computer Science. He mentors doctoral and master’s students in molecular ecology and trains interns in biodiversity genomics. Lab Members: Dr. Dagmar Frisch (Scientific Staff) Dr. Katrin Kiemel (Postdoc) Elisabeth Funke (Research Technician) Doctoral Candidates: Onur Erk Kavlak, Athena Karapli-Petritsopoulou, Daniel Wewer

• Freshwater Molecular Ecology
• Evolution
• Metabarcoding
• +۱۲ مورد دیگر

HUANG Fei is a Professor of Chinese History and Society in the Department of Chinese Studies at the Faculty of Humanities, University of Tübingen, Germany. She has held this position since 2020, following a Junior Professorship at the same institution from 2014 to 2020. Her academic journey began with a BA in History from Sun Yat-sen University (Guangzhou, 2005) and culminated in a PhD in Chinese Studies from Leiden University (2012). University: University of Tübingen School: Faculty of Humanities Department: Department of Chinese Studies Academic Rank: Professor Email: fei.huang@uni-tuebingen.de Her research spans an interdisciplinary terrain, combining landscape studies, environmental history, history of the body, cultural geography, historical anthropology, art history, and material culture studies . Her work primarily investigates China’s historical development from the 16th to the 20th century, with a regional focus on Southwest China, especially Yunnan, and thematic attention to frontier dynamics, urban environments, and the interplay between natural resources and cultural memory. Professor Huang’s recent publications reveal a consistent and evolving scholarly trajectory centered on the transformation of natural and urban landscapes. Her research on hot springs —such as Huaqing Hot Springs—explores their roles in public health, urban planning, and ideological representation in modern China. Her earlier work on Dongchuan examines how imperial and local actors reshaped frontier landscapes through cultural representation, religious practice, and economic interests. Articles on sulfur manufacturing, bathing culture, and Tusi succession highlight her ability to connect local practices with broader global and environmental networks. Scientific Awards and Recognition: No specific awards or fellowships are mentioned in the provided texts. Advising and Grants: She supervises PhD and Master’s theses in Chinese history and culture, though specific student names are not listed. No explicit mention of grants or funded research projects is made in the texts, but her extensive publication record in top-tier journals suggests active research engagement. Labs and Research Teams: She is affiliated with the Department of Chinese Studies at the University of Tübingen and participates in interdisciplinary research within the Faculty of Humanities. Her work often involves collaboration with scholars in anthropology, geography, and environmental history, as evidenced by her co-taught courses and international academic engagement.

• Chinese History and Society
• Environmental History
• Landscape Studies
• +۱۲ مورد دیگر

Prof. Stefan Wrobel is a Professor of Computer Science at the University of Bonn and Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS). He holds leadership roles, including Co-Director of the Lamarr Institute for Machine Learning and Artificial Intelligence and Managing Director of the Bonn-Aachen International Center for Information Technology (b-it). His research focuses on AI, machine learning, and big data applications in industry and society. He earned his PhD from the University of Dortmund and has held academic positions at Magdeburg University and Berlin Technical University. Active in national/international AI initiatives, he chairs the Fraunhofer Strategic Research Field on Artificial Intelligence and co-leads the Machine Learning Rhine-Ruhr (ML2R) Competence Center. Education: Master's (Georgia Tech), PhD (University of Dortmund). Research emphasizes intelligent algorithms, data analysis, and AI ethics. Awarded GI-Fellow (2022) and honored by the German Computer Science Society for contributions to AI history. Key roles include Editorial Board member of Machine Learning journals and advisory roles in AI ethics and certification. Scientific contributions span over 100 publications in machine learning, data mining, and visual analytics. Advised numerous PhD students on topics like graph mining and trustworthy AI. Leadership in institutions like Fraunhofer Technology Hub for Machine Learning and the German Computer Science Society's Special Interest Group on Knowledge Discovery.

• Machine Learning
• Data Mining
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Ludwig D. Morenz is a Professor of Egyptology at the University of Bonn and Director of the Egyptian Museum Bonn. He holds positions as a Principal Investigator in archaeological research and leads excavations in Egypt. His academic journey includes a Habilitation from the University of Tübingen (2001), a PhD from Leipzig (1994), and extensive postdoctoral fellowships across Europe. His research focuses on Pharaonic socio-economic systems, particularly dependency relationships between state expeditions and Canaanite populations. He examines ancient Egyptian economy, religion, and cultural interactions through material and textual evidence. Key areas include the origins of alphabetic writing, solar deity symbolism, and Roman-Egyptian cultural hybridity. Morenz has secured over €1 million in third-party funding from institutions like the German Research Foundation (DFG) and Gerda Henkel Foundation. He supervises numerous doctoral and master's students, reviewing over 30 theses and international PhDs. His editorial roles include founding journals like Studia Sinaitica and Bonner Ägyptologische Beiträge . Major excavations under his leadership include the Elite Necropolis of Qubbet el Hawa and the Serabit el-Chadim Hathor temple project. He participates in consortia such as the DFG Research Training Group 'Archeology of Pre-Modern Economies' and the International Congress of Egyptologists. Awards: Heisenberg Fellowship (DFG), Feodor Lynen Fellowship (Humboldt Foundation), Herzog-Ernst Scholarship Exhibitions: Curated annual special exhibitions at the Egyptian Museum Bonn, including a landmark show on alphabetic writing origins at Cairo's National Museum Publications: 13 monographs, 4 edited volumes, and over 100 articles

• Egyptology
• Ancient History
• Archaeology
• +۳ مورد دیگر

Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.

• Multimedia Information Systems
• Text Mining
• Digital Humanities
• +۶ مورد دیگر

Paula Schneider serves as Teacher for Special Tasks at the University of Art and Design Offenbach am Main , heading their book and paper workshop since 2020. She studied Book Art at Burg Giebichenstein Halle (2013-2019) and previously taught at Bezalel Academy (2017-2020). Her work bridges bookbinding , literary experimentation , and archival research through installations, artist books, and public interventions. Education : 2019: Diploma in Book Art, Burg Giebichenstein University of Halle Teaching : 2020–present: Lecturer for special tasks at HfG Offenbach 2017–2020: Annual courses at Bezalel Academy for Arts and Design, Jerusalem Screen printing tutor during studies Her artistic research explores narrative structures , time perception , and memory systems through works like Inner Monologue (2018) and Mio Mnemotop (2021). Recent projects include Night Frost (2024) examining textual accumulation and Cloudburst Working on the Textberg (2024) using mining metaphors for textual analysis. She examines book formats (e.g., leporello, monotypes, screen printing) to interrogate knowledge preservation (Rabaraababaraba, 2015) and urban observation (Praise of the Gate, 2023). Notable exhibitions include Because We Are Young (2021) analyzing GDR industrial history and Between (2019) at Halle/Leipzig Airport, which required mobile audience engagement with audio pieces about airport soundscapes. Her works have been featured in Text3 and Spin n errei tours. Contact: schneider@hfg-offenbach.de | Workshop: +49 69.80059-245 | Office: +49 69.80059-106

• Bookbinding
• Book Art
• Narrative Literature
• +۴ مورد دیگر

Craig Knoblock serves as Keston Executive Director of the Information Sciences Institute (ISI) at the University of Southern California (USC), Vice Dean of the USC Viterbi School of Engineering, and Research Professor of Computer Science and Spatial Sciences. He also directs the Data Science Program and the Center on Knowledge Graphs at USC. His educational background includes a Ph.D. and M.S. in Computer Science from Carnegie Mellon University (1991, 1988) and a B.S. with honors in Computer Science from Syracuse University (1984). Knoblock's research focuses on data semantics , specializing in source modeling, schema and ontology alignment, entity and record linkage, data cleaning, Web data extraction, and knowledge graph construction. His work bridges computer science, geospatial analysis, and artificial intelligence to solve complex data integration challenges. Recent projects emphasize historical map digitization, geospatial knowledge graphs, and smart city applications. His 300+ publications demonstrate consistent contributions to knowledge graphs and geospatial data integration, with a growing emphasis on historical map analysis and urban applications. The research trajectory shows increasing interdisciplinary collaboration across computer vision, geoinformatics, and domain-specific applications. IEEE Fellow (2020) ACM Fellow (2017) AAAI Fellow (2004) Robert S. Engelmore Memorial Lecture Award (2014) Donald E. Walker Distinguished Service Award (IJCAI, 2018) Use-Inspired Research Award (USC Viterbi, 2018) As Executive Director of ISI, Knoblock oversees one of USC's premier research centers with significant federal funding. His leadership extends to directing the Center on Knowledge Graphs and the Data Science Program. While specific grant details aren't provided, his extensive publication record and leadership roles indicate substantial research funding across data integration, knowledge representation, and geospatial applications. His work bridges theoretical computer science with practical applications in historical preservation, urban planning, and resource management through collaborative projects with government agencies and industry partners. Knoblock leads the Center on Knowledge Graphs at USC, focusing on developing techniques for building and utilizing knowledge graphs across diverse domains. His team combines expertise in artificial intelligence, geospatial analysis, and data integration to tackle challenges in historical map digitization, urban applications, and resource discovery. The research group maintains strong connections with both academic and government partners through the Information Sciences Institute's extensive network.

• Knowledge Graphs
• Data Semantics
• Schema Alignment
• +۵ مورد دیگر

Maxim Romanov heads 'The Evolution of Islamic Societies' project at University of Hamburg's Asia-Africa-Institut, funded by DFG's Emmy Noether Program. Former positions include senior research fellow at KITAB Project and University of Vienna. Research reconstructs social history of Islamic world (c.600-1600 CE) through computational analysis of Arabic chronicles and biographical collections. Research Focus: Digital humanities approaches to premodern Islamic history including OCR development for Arabic manuscripts, corpus linguistics, and geospatial modeling of historical data. Technical Contributions: Developed OpenITI corpus infrastructure, al-Ṯurayyā gazetteer system, and computational methods for large-scale historical text analysis. Recent work enhances NLP for classical Arabic with OCR accuracy exceeding 90%.

• Social history of premodern Islamic world
• Arabic written tradition
• Computational methods
• +۳ مورد دیگر

Dr. Marcel Mierwald is a researcher at the Department of History Didactics at Ruhr University Bochum, specializing in empirical studies of historical learning. He collaborates on the oral history project "People in Mining" and focuses on digital learning, epistemological beliefs, and language-sensitive history teaching. His work bridges theoretical frameworks with classroom practice. Education: Doctoral degree (2019) at Ruhr University Bochum; Master of Education in social studies and history (Free University of Berlin, 2012). Research Trends: His recent publications emphasize authenticity in learning materials, media comparison studies, and assessment tools for historical argumentation. Collaborations with Nicola Brauch and others highlight interdisciplinary approaches to history education. Scientific Awards: Doctoral scholarship from Professional School of Education (PSE) at Ruhr University Bochum (2013-2016). Teaching: Offers courses on subject didactics, practical semester preparation, and language-sensitive history teaching. Led seminars on migration history, the Weimar Republic, and National Socialism in school labs. Labs & Teams: Active in the Alfried Krupp Student Laboratory and Ruhr University Bochum's student laboratory for humanities, focusing on empirical history education research and innovative teaching methods.

• History Education
• Epistemological Beliefs
• Digital Media in Education
• +۳ مورد دیگر

Tse-Hsun (Peter) Chen is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. He serves as Director of the SPEAR lab (Software Performance, Analysis, and Reliability lab), which focuses on improving the quality of large-scale software systems through research in log analysis and AIOps, software performance analysis, software testing, and mining software repositories. His research group maintains extensive collaborations with industry partners including ERA Environmental, Ericsson, Microsoft, and BlackBerry. Dr. Chen received his PhD and MSc in Computer Science from Queen's University and his BSc in Computer Science from the University of British Columbia. Dr. Chen's research addresses critical challenges in modern software engineering, including leveraging Large Language Models to assist developers with development, debugging, and maintenance; helping developers debug production systems by utilizing rich software data; providing optimization suggestions by analyzing user usage data; improving software quality assurances in DevOps environments; and mining software development history for useful developer suggestions. His work spans Software Engineering, Performance Engineering, DevOps & AIOps, Software Testing, and Mining Software Repositories, with a strong emphasis on practical applications that bridge academic research and industrial practice. His recent publications (2024-2025) demonstrate a pronounced shift toward integrating Large Language Models into various aspects of the software engineering lifecycle, particularly in log analysis, fault localization, code generation, and performance testing. This trend reflects the growing importance of AI in software engineering research and practice. Gina Cody Research award (2022) Ranked as one of the most active software engineering researchers worldwide by an independent study published in JSS Dr. Chen has successfully advised numerous PhD and Master's students, many of whom have secured prestigious academic positions. Several of his graduated PhD students now hold tenure-track assistant professor positions at institutions including York University, University of Alberta, DePaul University, and IIT Gandhinagar. His SPEAR lab has developed research tools that have been integrated into industrial practice for ensuring the quality of large-scale enterprise systems. The SPEAR lab, under Dr. Chen's leadership, has established itself as a leading research group in software engineering, with particular expertise in software performance analysis, log analysis, and AI applications for software engineering. The lab maintains strong industry connections and has produced numerous high-impact publications in top-tier software engineering venues including ICSE, FSE, ASE, and TSE.

• Software Engineering
• Performance Engineering
• DevOps & AIOps
• +۳ مورد دیگر