Find Academic Supervisors

Svetlozar NestorovView profile

Associate Professor

• Data Analytics
• Database Systems
• Data Warehousing
• +5 more

Svetlozar Nestorov is an Associate Professor of Information Systems at the Quinlan School of Business, Loyola University Chicago. His research focuses on data analytics, database systems, and innovative educational frameworks within information systems curriculum design. He is affiliated with research centers including the Behavioral Lab and the Lab for Applied Artificial Intelligence. Dr. Nestorov's work spans technical advancements in data modeling, big data integration, and the societal impacts of technology on gig economy workers. His pedagogical contributions include developing business analytics certification programs and integrating real-world data visualization projects into undergraduate courses. He has published extensively on topics ranging from automated grading systems to entity extraction frameworks. His current research trends emphasize practical applications of data science in education, leveraging cloud technologies for data modeling, and analyzing organizational control mechanisms in platform-driven labor markets. Dr. Nestorov's work bridges academic research with industry needs through frameworks that enhance data preparation, visualization, and analysis methodologies. Professional activities include steering committees for applied AI initiatives and contributions to interdisciplinary research platforms like the Computational Materials Repository. He maintains active participation in academic discourse through publications on metadata extraction, query optimization, and database security mechanisms.

Philippe RigauxView profile

Professor

• Database Systems
• Digital Libraries
• Web Data Harvesting
• +4 more

Philippe Rigaux is Professor of Computer Science at the Conservatoire National des Arts et Métiers, a prominent French technical institute located in central Paris. His work bridges academic research and industrial application through his role as Scientific Director at Internet Memory Research, a startup focused on large-scale web data harvesting, storage, and analysis. His research interests lie in the management of large digital collections, with a focus on document databases, digital libraries, and metadata-driven data organization. He explores innovative methods for indexing and managing files using semantic and structural metadata, particularly in scalable environments. The publication trends reflect a strong emphasis on scalable data systems, metadata utilization, and efficient file management in large-scale storage infrastructures. His work contributes to both theoretical foundations and practical implementations in data-intensive computing. Scientific Awards: No awards mentioned in the source text. There is no information available about student advising or research grants in the provided content. However, his leadership role as Scientific Director since 2010 suggests involvement in externally funded or entrepreneurial research initiatives. Philippe Rigaux is associated with Internet Memory Research, a startup dedicated to the long-term preservation and analysis of web data, indicating active participation in a research team focused on digital archiving and big data analytics.

• Computational Humanities
• Text Technology
• Quantitative Corpus Linguistics
• +7 more

Prof. Dr. Alexander Mehler is a full professor of Computational Humanities and Text Technology at the Goethe University Frankfurt , where he leads the Text Technology Lab (TTLab) . He has held leadership roles in multiple academic societies including the German Society for Computational Linguistics & Language Technology and the German Society of Semiotics , and is a founding member of the German Society for Network Research (DGNet) . His research focuses on quantitative analysis of textual units in spoken/written communication, linguistic network modeling , and 4D text technologies integrating Virtual/Augmented Reality. Current projects include ENTAILab (DFG-funded infrastructure for social sciences), FACES (VR-based survey research), and C08/B05 modules in the Critical Online Reasoning (COR) framework. He has supervised numerous PhD candidates in areas spanning multilingual NLP , 3D scene generation from text , stemma analysis tools , and network-theoretic approaches to language classification . His lab's work intersects with machine learning , cognitive modeling , and digital humanities infrastructure . As principal investigator, he leads projects funded by DFG (SPP 2431, SFB 1629, FID 326061700) and LOEWE programs , with recent developments in mimodockerized NLP pipelines and VR-based learning systems . Key collaborations include ACM Conference on Hypertext and KONVENS NLP conferences . His methodological expertise spans multimodal data analysis , neural active learning , and cross-linguistic computational models . He has developed open-source infrastructures for digital humanities research and educational analytics , including the TextImager platform .

Marcelo ArenasView profile

Professor

• Data Management
• Semantic Web
• Database Theory
• +3 more

Marcelo Arenas is a Professor at the Department of Computer Science and the Institute for Mathematical and Computational Engineering at the Pontifical Catholic University of Chile. He is a Fellow of the Association for Computing Machinery (ACM), former director of the Millennium Institute for Foundational Research on Data, and co-founder of the Center for Semantic Web Research. His Ph.D. in Computer Science was obtained from the University of Toronto in 2005. Research interests include data management , applications of logic in computer science , and Semantic Web technologies. He has published extensively on topics such as SPARQL query complexity , graph database systems , and incomplete database theory , with notable works like MillenniumDB and Foundations of Data Exchange . Scientific accolades: 2016 SWSA Ten-Year Award for "Semantics and Complexity of SPARQL" IBM Ph.D. Fellowship (2004) Nine Best Paper Awards across PODS, ISWC, ICDT, ESWC, WWW, and NeurIPS His work on approximate counting algorithms (e.g., FPRAS for #NFA) and explainable AI frameworks has influenced database theory, while serving on program committees for ICDT 2015, ISWC 2015, and PODS 2018 demonstrates leadership in the field. Current projects focus on probabilistic explanations for decision trees and temporal regular path queries in knowledge graphs.

Ansgar ScherpView profile

Professor

• Data Science
• Big Data Analytics
• Text Analytics
• +7 more

Professor Ansgar Scherp is a leading academic in Data Science and Big Data Analytics at Ulm University , Germany. His career spans multiple institutions including University of Essex, University of Stirling, and Kiel University, where he led the EU Horizon 2020 MOVING project. He holds a habilitation thesis on Semantic Media Management and has pioneered research in combining symbolic and statistical methods for data analysis. Current: Professor for Data Science & Big Data Analytics (Ulm University) Previous: Professor for Knowledge Discovery (Kiel University), Juniorprofessor roles (Mannheim, Koblenz-Landau) Skills: Semantic Web, Graph Mining, Text Analytics, Multimedia Systems His research interests focus on integrating Information Retrieval, Data Mining, Machine Learning, and Semantic Web technologies. He has developed innovative methods like HCF-IDF for semantic profiling and SchemEX for schema-level indexing of Linked Data. His work addresses challenges in media companies' digital transformation and large-scale Knowledge Graph analysis. Scientific awards include: Best Paper Award, Symposium on Document Engineering (2021) Best Student Paper Award, Symposium on Document Engineering (2019) ACM SIGMM Rising Stars Symposium Speaker (2016) Double Winner of Billion Triple Challenge (2008, 2011) klickTel Award (2013) He has supervised 12 PhD theses and over 15 Master's theses , with students now working at Google, Capgemini, and academic institutions. His email addresses are ansgar.scherp@uni-ulm.de and mail@ansgarscherp.net .

• Data Science
• Artificial Intelligence
• Knowledge Engineering
• +9 more

Christoph Lange-Bever (publishing as Christoph Lange) is a senior researcher in computer science, specializing in data science and artificial intelligence, affiliated with the Fraunhofer Institute for Applied Information Technology FIT and the Chair for Information Systems at RWTH Aachen University since 2019. He leads the Data Science and Artificial Intelligence department at Fraunhofer FIT and previously headed the Knowledge Pipelines department from 2019–2021. His career spans roles at the University of Bonn, Fraunhofer IAIS, University of Birmingham (as an honorary research fellow until 2017), and University of Bremen. PhD from Jacobs University Bremen (2011) on semiformal mathematical knowledge collaboration Focus areas include knowledge engineering, semantic web, data infrastructures , and FAIR principles Applications span enterprise data integration , research infrastructures , and cross-organization data spaces His recent publications (2023–2025) emphasize FAIR data spaces , LLM integration , semantic interoperability , and knowledge graph tools . While no specific scientific awards are listed, he has co-supervised 10 PhD students and contributed to international standards (OMG, W3C). He teaches courses like Knowledge Graph Lab and Sovereign Data Exchange , blending research with practical applications for global enterprises.

Matthias LabrenzView profile

Professor

• Microbial Ecology
• Bacterial Taxonomy
• Microplastics Pollution
• +3 more

Prof. Dr. Matthias Labrenz is a Professor at the University of Rostock and heads the Environmental Microbiology working group at the Leibniz Institute for Baltic Sea Research (IOW) in Rostock, Germany. He holds a Diplom in Biology (1995) and a PhD (1999) from Christian-Albrechts-University Kiel, followed by postdoctoral research at the University of Wisconsin-Madison and the German Research Center for Biotechnology. He completed his Habilitation in Microbiology at the University of Rostock in 2008. His research focuses on: Microbial diversity in extreme environments Microplastics pollution and environmental impacts Pathogenic Vibrio ecology in the Baltic Sea Bacterial taxonomy and biogeochemical cycling Development of in situ microbial technologies Labrenz leads major projects including OTC-Genomics (BMBF) for environmental DNA monitoring and BaltVib (EU) on pathogenic Vibrio control. He has published extensively on microbial responses to pollutants, nutrient cycling in redox zones, and microplastic-biofilm interactions. He directs IOW's genetic engineering facility and oversees doctoral researchers in microbial ecology. His group develops innovative methods like microplastic immobilization techniques and autonomous sampling systems.

• Security and Privacy
• Anonymous Communication
• Censorship Resistance
• +9 more

Tariq Elahi is a Lecturer in Security and the Internet of Things at the School of Informatics, University of Edinburgh. He is a faculty member of the Security, Privacy, and Trust (SecPrivTru) group and the Laboratory for Foundations of Computer Science (LFCS), and an affiliate member of the Institute for Computing Systems Architecture (ICSA). His research focuses on privacy, anonymity, and censorship resistance in digital communications, with applications in satellite networks, IoT, and end-to-end encrypted messaging systems. His primary research interests include: Secure and Private Satellite Communications Traffic analysis attacks and metadata protection Anonymous Communication & Censorship Resistance (Tor, Mixnets) Data-Driven Privacy Systems Engineering Privacy-preserving Machine Learning and AI Embedding Privacy into Network Infrastructure Recent publications demonstrate a strong trend toward developing flexible, resilient, and scalable privacy-enhancing technologies, leveraging machine learning for traffic analysis and obfuscation, and extending anonymity systems to satellite and large-scale messaging platforms. His work is frequently published at top venues such as CCS, USENIX Security, PETS, and NDSS. Notable scientific awards and grants include: National Research Centre Grant (£8.6M) as Co-I for "Protecting Citizens Online" New Investigator Award for "Feedback and Optimisation for Well-behaved Anonymous Communication Networks" Tariq Elahi is actively involved in advising and research leadership. He is currently hiring PhD students for projects on satellite network security, interoperability of PETs, private AI, and censorship resistance. He also contributes to the academic community as co-chair of the FOCI workshop. His teaching includes Computer Security and Research Methods in Security, Privacy, and Trust. He is affiliated with the following research groups and laboratories: Security, Privacy, and Trust (SecPrivTru) Laboratory for Foundations of Computer Science (LFCS) Institute for Computing Systems Architecture (ICSA)

Nadja WallaszkovitsView profile

Professor

• Audio Engineering
• Digital Archiving
• Cultural Heritage Preservation
• +6 more

Prof. Dr. Nadja Wallaszkovits is a Professor for Conservation and Restoration of New Media and Digital Information at the State Academy of Fine Arts Stuttgart , where she also serves as Vice-Rector for Research and Young Talent Development. Her career spans over two decades in audio engineering, digital archiving, and conservation science, with leadership roles at the Austrian Academy of Sciences’ Phonogram Archive and NOA GmbH. PhD in Philology (2017), University of Vienna Diploma in Audio Engineering (1989), SAE Vienna Research Interests include: Digital preservation of audiovisual heritage Chemical and mechanical restoration of cellulose-based media Audio signal processing and authenticity standards Field recording technology history Article Trends reveal expertise in cellulose acetate degradation detection, noise reduction algorithms, hybrid modeling for film conservation, and international archival guidelines. Her work bridges technical precision with cultural heritage ethics. Scientific Awards : 2018 AES Board of Governors Awards (Berlin & Milan) Various AES Certificates of Appreciation As Program Chair for major conferences and IASA certified Trainer , she influences global preservation practices while mentoring institutions worldwide through technical workshops and consulting.

• Soil Science
• Geospatial Data Infrastructure
• Semantic Web
• +4 more

Paul van Genuchten is a Research Associate at Wageningen University & Research , affiliated with ISRIC - World Soil Information . His work focuses on soil data infrastructure, semantic web technologies, and agricultural informatics. Research Areas: Soil science, metadata management, knowledge graphs, semantic web, European soil policy Key Collaborations: Active in European Joint Programme EJP SOIL, collaborating with institutions across Europe Tools Developed: Co-developer of SoilWise-HE tools for soil health knowledge graph creation His recent research explores FAIR data principles, open geospatial consortium standards, and semantic sensor networks for soil monitoring. He contributes to developing decentralized soil information systems through metadata catalogues and geodatabases. Paul participates in European workshops and conferences, presenting on soil data infrastructure and metadata management solutions. His work emphasizes creating standardized, accessible soil datasets for agricultural and environmental applications.

• Animal Genomics
• Livestock Conservation
• Dairy Cattle Genetics
• +4 more

Ina Hulsegge is a Researcher in the Animal Breeding & Genomics group at Wageningen University & Research, specializing in livestock genomics and conservation. Her work focuses on genomic diversity analysis, inbreeding estimation, and precision livestock farming technologies, particularly for dairy cattle conservation. Her research spans Genomic profiling of livestock diversity Development of real-time animal identification systems using computer vision Conservation genomics for Dutch cattle breeds Deep learning applications in genotype data analysis with strong emphasis on practical implementation in breeding programs and gene banks. Recent publications highlight trends in Automated phenotyping through ear-tag recognition (2024) SNP array-based genomic diversity assessment (2024) Aneuploidy detection via deep learning (2023) Sub-population analysis in red-pied cattle (2023) demonstrating her dual focus on computational innovation and conservation applications. Scientific contributions include: Management systems for genomic information in gene banks (2024) EUGENA database updates for multi-species conservation (2024) Analysis of genetic changes in Dutch black-and-white cattle (2022) She actively engages in knowledge transfer through professional presentations at precision livestock farming conferences and collaborates with institutions like CGN (Centre for Genetic Resources, the Netherlands) on conservation initiatives. Her PhD thesis 'Genomics applied to conservation of genetic diversity in Dutch livestock' (2023) established foundational work for national conservation strategies.

Melissa BrooksView profile

Associate Professor

• Academic Libraries
• Technical Services Librarianship
• Library Leadership and Management

Melissa Brooks serves as Associate Professor and Head of Technical Services at the University Libraries, University of Southern Mississippi, with her office in Cook Library (LIB) 210FF, Hattiesburg. Her prior roles include Metadata/Discovery Librarian at Indiana University of Pennsylvania (2019-2021), Head of Metadata and Data Services at West Virginia University Libraries (2013-2019), and Cataloging Librarian at Morehead State University (2009-2013). Education: MBA, Indiana University of Pennsylvania, 2021 MSLS, University of Kentucky, 2007 Her expertise centers on Academic Libraries, Technical Services Librarianship, and Library Leadership and Management. Ms. Brooks specializes in metadata management, cataloging systems, and discovery infrastructure within academic libraries, with demonstrated leadership in optimizing technical operations for resource organization and access. Her work bridges library science with administrative strategy to enhance institutional information services.

Frank HeidmannView profile

Research Professor

• Human-Computer Interaction
• Usability Engineering
• Extended Reality (XR) Interfaces
• +5 more

Frank Heidmann is a Research Professor for Design of Software Interfaces at the University of Applied Sciences Potsdam, where he serves as Program Director for the Master's degree program in Design. He leads the Interaction Design Lab (IDL) and holds leadership roles including membership in the Research and Transfer Commission and Ethics Committee of FH Potsdam, and serves as Ombudsperson for good scientific practice. His educational background includes: PhD in Applied Physical Geography (1999, University of Trier) Studies in Applied Physical Geography with cartography focus (1988-1994, University of Trier) Heidmann's research spans human-computer interaction, usability engineering, and interface design, with evolving focus from cartographic communication to XR interfaces and mental health applications. His work integrates eye-tracking, tangible interfaces, and user-centered design methods, particularly addressing aging society needs and social anxiety disorders. Recent projects emphasize collaborative XR learning and neurofeedback systems. His publication trends reveal consistent contributions to HCI conferences (CHI, DIS, NordiCHI) with growing emphasis on: Immersive technologies (XR/VR) Mental health applications Collaborative interaction paradigms Critical design approaches Heidmann actively supervises design education initiatives and leads significant projects including DISA (Digital Inclusion for Social Anxiety), FUX-XR@FH:P (Extended Reality), and international partnerships with National Taipei University of Technology. As project manager at IDL, he implements research on human-technology interaction, interface design for aging populations, and user-centered design integration. His leadership extends to curriculum development projects like Design '0815' for adapting design education to digital workplaces.

Bart SchmidtView profile

Associate Professor

• Digital Libraries
• Digital Preservation
• Library Technology
• +2 more

Bart Schmidt serves as Associate Professor of Librarianship and Digital Projects Librarian at Drake University's Cowles Library, where he leads digital initiatives within the university's central academic resource hub. His research concentrates on digital library infrastructure , digital preservation methodologies , and emerging library technologies . He specializes in developing accessible digital collections while addressing technical challenges in metadata standardization and long-term digital archiving within academic library environments. As a core member of Cowles Library's digital services team, Schmidt contributes to institutional repository management and digital scholarship support systems that enhance research capabilities across Drake University's academic disciplines.

Andrew WelchView profile

Associate Professor

• Open Educational Resources
• Generative AI in Education
• Library Discovery Systems
• +2 more

Andrew Welch serves as Associate Professor of Librarianship and Librarian for Discovery Services & Technology at Cowles Library, Drake University, where he manages SuperSearch, the Library Management Platform, library website, and online services while acting as liaison to English & Literature and Theatre Arts departments. Holding a Master of Arts in Library & Information Science from the University of Iowa, Welch brings cross-sector experience from public, academic, and corporate library environments. Education: Master of Arts in Library & Information Science, University of Iowa Welch's research critically examines Open Educational Resources (OER) implementation and the transformative potential of generative artificial intelligence in academic settings. His work investigates how these innovations reshape library service delivery, resource accessibility, and pedagogical support structures, with particular attention to ethical considerations in AI adoption and sustainable OER integration frameworks across disciplines. Analysis of Welch's 2010-2016 publications reveals consistent expertise in library acquisition methodologies, particularly Patron-Driven Acquisitions (PDA) for hybrid print/electronic collections and discovery system optimization. His scholarly trajectory demonstrates a clear evolution from traditional collection management toward emerging technological frontiers, with recent professional focus shifting decisively toward generative AI's implications for information literacy and resource curation. Scientific Awards: No scientific awards mentioned in source materials Advising and Grants: Current documentation indicates no formal student advisement responsibilities. Professional activities center on operational technology leadership rather than externally funded research initiatives, with no grant funding referenced in available texts. Labs and Teams: Welch directs Cowles Library's Discovery Services & Technology unit, which maintains Drake University's digital infrastructure including SuperSearch, integrated library systems, and web platforms. His team implements user-centered technology solutions that enable seamless resource discovery and access while continuously adapting to evolving scholarly communication patterns and user experience expectations.