Dr Peter Long is a researcher at the University of Oxford specializing in satellite remote sensing and environmental modeling to study biodiversity, ecosystem services, and land cover dynamics. His work focuses on algorithm development for processing satellite data, high-performance computing, and GIS/RS software applications. Key projects: Biodiversity monitoring in Madagascar, Marine LEFT/LEFT tools, NaturEtrade, and Community-Based Conservation evaluation Technical expertise: Databases, R programming, web-based environmental tools, stakeholder engagement Research trends indicate interdisciplinary applications of remote sensing in conservation biology, agroforestry, and climate resilience. His publications span ecological modeling, historical land-use impacts, and wetland bird conservation. He has not been documented receiving scientific awards or mentoring students. No information is available about laboratory affiliations or team memberships.
Dr. Ramon Antonio Rodriguez Zalepinos is an Associate Professor at the Department of Software Engineering, Faculty of Computer Science, National Research University Higher School of Economics (HSE). With 16+ years of scientific and teaching experience, he specializes in geospatial data systems, distributed databases, and high-performance computing. Doctor of Science in Computer Science (2024) Candidate of Technical Sciences (2013) Master's in Computer Science (2008, Donetsk National Technical University) His research focuses on geospatial array databases , distributed systems , and Big Earth Data engineering , particularly through his ChronosDB and Quantum Tensor DBMS projects. He has pioneered cloud-native solutions for multi-terabyte environmental datasets and developed novel approaches for in-database road traffic simulations. Key publication trends show 7+ years of contributions to VLDB and SIGMOD conferences, with special emphasis on: Quantum-enhanced geospatial processing Web-based array database systems Cellular automata integration High-speed raster data aggregation Scientific recognition includes: Best Teacher award (2017-2021, 2023) HSE Personnel Reserve member Additional post-doctoral funding (2024-2027) Multiple publication bonuses (2019-2023) He supervises student research in geospatial data science and leads projects on satellite data processing systems, with implementations at major institutions including Amazon and Planet Labs.
Riccardo Rosati is a Full Professor at the Department of Computer, Control, and Management Engineering, Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science and Statistics. He obtained his PhD in Computer Science from Sapienza University of Rome in 1997. His research focuses on Knowledge Representation, Description Logics, Semantic Web, Ontologies, Information Integration, Databases, and Artificial Intelligence. Specifically, he has made significant contributions to the integration of description logics and logic programming, and is one of the creators of the DL-Lite family of description logics, which became a standard in the Semantic Web (OWL 2 QL). His recent publications center around controlled query evaluation, ontology-based data access, and applying knowledge representation in healthcare informatics. The trend shows strong emphasis on both theoretical foundations and practical applications. Scientific awards and recognitions include: Distinguished Paper Award at IJCAI 2024 AAAI 2021 Classic Paper Award He has advised numerous students and been involved in research projects including OPTIQUE (Scalable End-user Access to Big Data), ACSI (Artifact-Centric Service Interoperation), TONES (Thinking Ontologies), INFOMIX (boosting information integration), QuOnto (Querying Ontologies), and HYPER (How Your Peers Exchange Resources). He leads the Artificial Intelligence and Knowledge Representation research group and collaborates with the Data Management and Service-Oriented Computing group at DIAG.
Chris Wiley serves as the Physical Sciences and Engineering Research and Data Services Librarian and Associate Professor at the University of Illinois at Urbana-Champaign. Based at the Grainger Engineering Library, he focuses on data management, research practices, and digital accessibility across scientific disciplines. Research Interests: Specializing in data governance and stewardship across engineering and physical sciences Advancing FAIR data principles and open repository systems Developing accessible data visualization tools Researching data privacy frameworks for scientific contexts Exploring cloud storage limitations for academic institutions Creating educational resources for data management transitions Contact: Email: cawiley@illinois.edu Phone: 217-300-5801 Location: Grainger Engineering Library, 1301 W. Springfield Ave., Urbana, IL 61801
Dr. Ling Liu is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study within Waseda University, Japan. Her academic journey includes a PhD in Journalism (2022, Waseda University), a Master's in Journalism (2014, Waseda University), and a Bachelor's in Japanese (2012, Shanghai University of Finance and Economics, China). She has also engaged in interdisciplinary research as a Visiting Researcher at The Ohio State University (2016-2018) and Masaryk University (2011-2012). PhD (2022, Waseda University) Master's (2014, Waseda University) Bachelor's (2012, Shanghai University of Finance and Economics) Visiting Researcher at The Ohio State University (2016-2018) Visiting Student at Masaryk University (2011-2012) Liu's research focuses on political communication, media trust, and selective exposure mechanisms in high-trust environments like Japan. Her comparative studies across Japan, the US, and Hong Kong reveal how media trust levels influence partisan selective exposure behaviors, challenging assumptions based on Western contexts. She has contributed to theoretical frameworks distinguishing hostile media perception from general media distrust. Her publications span journals like Communication Research and European Journal of Political Research Political Data Yearbook , with notable work on cross-national differences in confirmation bias (2019) and partisan selective exposure (2024). She leads projects funded by organizations such as the Japan Society for the Promotion of Science and Waseda University's Special Research Grants, including the Disinformation and Democracy in East Asia (2023-2029) and Media Trust Impacts on Exposure to Political Information (2023-2024). Dean's Academic Prize (2022, Waseda University) JSPS Grants-in-Aid for Scientific Research Waseda University Special Research Grants Suntory Foundation for Young Researchers Liu has taught courses such as Intermediate Seminar (Political Communication and Media Studies) and Political Science Experiment at Waseda University. She serves on the editorial board of the Bulletin of the Waseda Institute for Advanced Study and contributes as a peer reviewer for journals like Communication Research and conferences including the International Communication Association. Her laboratory collaborations include the Media Trust and Hostile Media Perceptions project (2024), which developed a typology of media trusters, and the Media Trust Impacts on Exposure to Political Information project (2023), advancing theoretical foundations for cross-cultural analysis of media trust dynamics.
Venkat Venkatakrishnan is a Professor of Computer Science and Director of Research at the Discovery Partners Institute at the University of Illinois at Chicago. As Associate Dean for Research and Graduate Studies in the College of Engineering, he leads initiatives in cybersecurity research and education. His research focuses on Computer Systems Security , utilizing techniques from Compilers Operating Systems Formal Methods to defend against cyber attacks. He has developed innovative approaches to secure desktop systems, detect web vulnerabilities, and reconstruct attack scenarios. Recent publications highlight his work in areas including: Advanced Persistent Threat detection Web application security Automated exploit generation Security sanitization tools SQL injection prevention Content security policies Scientific achievements include Distinguished Paper Award at USENIX Security Symposium (2018) Best Paper Awards at IEEE QRS (2016), Oakland (2009), and ACSAC (2003) Finalist for AT&T Best Applied Security Research Paper (2010) He has mentored numerous students and postdoctoral researchers, many of whom have become faculty members at prestigious institutions or joined leading technology companies. His work bridges academic research with practical applications for businesses and websites seeking to patch security vulnerabilities.
Bruno J. Strasser is a Full Professor in the Biology Section at the University of Geneva and an Affiliate Professor at Yale University. His academic career spans multiple prestigious institutions across Europe and North America, with expertise in the history of science, medicine, and society. Professor Strasser received his PhD from the University of Geneva and University of Paris 7 in 2002. His academic journey includes positions as Assistant Professor at Yale University, Visiting Professor at the University of Manchester and University of Barcelona, Visiting Fellow at Princeton University, and Senior Lecturer at the University of Lausanne. He also held research fellowships at the Max Planck Institut für Wissenschaftsgeschichte in Berlin and Ecole Normale Supérieure in Paris. Strasser's research focuses on the historical intersections of science, medicine, and society. His work explores how scientific knowledge is produced, disseminated, and interacts with broader social contexts. He has made significant contributions to understanding the history of public participation in science, international scientific cooperation during the Cold War, the interactions between experimental science and clinical medicine, and the transformations of the pharmaceutical industry. His research also examines the development of scientific instrumentation and the role of collective memory in shaping scientific practices. Analysis of Strasser's recent publications reveals a strong focus on citizen science, public participation in scientific research, and the historical evolution of scientific practices. His work spans disciplines including history of science, history of medicine, sociology of science, and science and technology studies. Key themes include the relationship between expertise and democracy, the transformation of scientific data practices, and the historical development of scientific instruments and methodologies. Strasser has received notable recognition for his scholarly work: Henry-E. Sigerist prize 2006 for his book "La fabrique d'une nouvelle science: La biologie moléculaire à l'âge atomique, 1945-1964" As an academic mentor, Strasser oversees a research group that includes Véronique Stenger, Yuhann Guffroy, Eloïse Richard, Lucas Muller (affiliate), David Roberston (affiliate), Kostas Kampourakis, Séverine Perron, Annabelle Wilson, and Olivier Sutter. His research has been supported by various academic institutions and scholarly grants that have enabled his extensive historical investigations across multiple continents. He has collaborated with numerous international scholars, particularly in Europe and North America, to advance the field of history of science. Professor Strasser co-founded and developed the Bioscope, an outreach laboratory in 2014, demonstrating his commitment to public engagement with science history. His research group maintains active collaborations across institutions, with several affiliate members extending the reach of his scholarly network.
Xin Huang is an Associate Professor in the Department of Computer Science at Hong Kong Baptist University (HKBU), Faculty of Science. He serves as Coordinator of Research Postgraduate Programme (PhD&MPhil) and Coordinator of Programming Contest Teams. His educational background includes: Ph.D. in Systems Engineering and Engineering Management from The Chinese University of Hong Kong (2014) B.Eng. in Computer Science from Xiamen University (2010) Huang's research focuses on innovative technologies for large-scale graph data management and analysis. His work spans graph data management including keyword search and graph indexing, graph mining techniques for summarization and decomposition, community search algorithms, and graph learning approaches including graph neural networks. His research integrates theoretical foundations with practical applications in social network analysis and privacy-aware computing. His publication record shows consistent output in top-tier venues with a clear evolution from foundational graph algorithms to more complex applications involving dynamic and uncertain graphs, reflecting the growing importance of graph analytics in real-world systems. Notable awards include: Best Student Paper Award at ACM/IEEE IWLS 2023 Best Faculty Article Award from Chinese Communication Association (2022) HKBU President's Award for Outstanding Performance as Young Researcher (2021) RGC Early Career Award (2020) Best Paper Award at WISE 2019 Huang actively mentors PhD students and postdoctoral fellows, currently supervising five PhD candidates and four postdocs. His research has been supported by competitive grants including the RGC Early Career Award. He serves as Associate Editor for Data Science and Engineering and World Wide Web Journal, and participates extensively in program committees for major conferences including VLDB, ICDE, and WWW. As part of HKBU's Database Research Group, Huang contributes to a vibrant research environment that has secured over $10 million in research funding and published more than 200 papers in top venues.
Patricia Anthony serves as Associate Professor at Lincoln University's School of Landscape Architecture in New Zealand, where she holds an ORCID identifier 0000-0002-4991-3340. Her academic appointments include Faculty Postgraduate Chair for the Faculty of Environment, Society and Design (2021-2024) and current affiliation with the Centre for Geospatial and Computing Technologies (2025-present). Previously, she served as Head of Department (2016-2017), Department Postgraduate Coordinator (2014-2016), and SHIFT Coordinator (2017-2020). Her educational background comprises a Ph.D. from the University of Southampton, United Kingdom; an M.Sc. from Birkbeck, University of London, United Kingdom; and a BSc (High Honors) from the State University of New York, United States. She is proficient in Malay language, with reading, writing, and speaking capabilities. Dr. Anthony's research centers on agent and multi-agent systems, utilizing artificial intelligence techniques including machine learning, evolutionary computation, and text processing as decision-making strategies for agents. She is recognized as a leading researcher applying intelligent agents across diverse domains such as online auctions, agriculture, education, and social media analysis. Her specialized work in sentiment analysis and emotion identification enables agents to detect emotional states in textual communications, with recent applications in earthquake tweet analysis. Her publication record demonstrates consistent scholarly output with over 130 publications, showing particular strength in applying multi-agent systems to practical challenges. Recent work reveals three major research streams: trust and reputation management in IoT environments (accounting for approximately 30% of recent publications), agricultural technology applications including mastitis detection and water resource management (approximately 40%), and social media analysis focusing on elderly technology adoption and cyber aggression classification (approximately 30%). Adjunct Professor, Hubei University of Technology, Wuhan, China Program Committee/Senior Program Committee member for Pacific Rim International Conferences on Artificial Intelligence (PRICAI) 2016, 2018, 2019 Co-chair for International Carnahan Conference on Security Technology (ICCST) 2014, 2016, 2018, 2020 Member of Institute of Electrical and Electronics Engineers (IEEE) Reviewer for Engineering Applications of Artificial Intelligence, Malaysian Journal of Computer Science, and Adaptive Behaviour Dr. Anthony has supervised numerous postgraduate students across multiple research areas related to multi-agent systems, with completed projects spanning cyber aggression classification, agricultural technology, IoT security, and elderly technology adoption. She serves as an examiner for advanced computing courses including Advanced Database (COMP643), Advanced Programming (COMP642), and Studio Project (COMP639), demonstrating her integration within the university's computing curriculum despite her Landscape Architecture appointment. Her research aligns with Sustainable Development Goal 11 (Sustainable Cities and Communities), reflecting her commitment to applying computational techniques to address real-world challenges in urban and community contexts. She actively collaborates across disciplines through the Centre for Geospatial and Computing Technologies, bridging computational methods with landscape architecture applications.
Elodie GUILLON is a Research Fellow at Université Toulouse-Jean Jaurès, affiliated with the Patrimoine, Littérature, Histoire (PLH) research unit within the Faculty of Arts and Humanities. Since October 2017, she has coordinated and co-directed the ERC Mapping Ancient Polytheisms project (MAP - 741182), a significant European research initiative. Previously, from September 2015 to August 2017, she held a post-doctoral position within the Idex project in Toulouse, ATS Patrimoine 2014, focusing on "PPI. Phoenicians and Punics in Ibiza, 7th-2nd century BC. Archaeological heritage and spatial modeling." She completed her doctorate in Ancient Sciences in November 2013 with Highest Honorable Mention and congratulations from the jury. Her research spans multiple interconnected fields: History of Phoenicia and Phoenician territories of expansion, spatial modeling applied to ancient data, computer analyses of ancient historical and archaeological data, reception and valorization of archaeological heritage, reception of Semitic antiquity by Moderns (particularly 19th and 20th centuries), and rural and territorial archaeology. GUILLON has pioneered the integration of digital humanities methodologies with traditional historical and archaeological research, creating innovative approaches to studying ancient religious systems and territorial organization. Her scholarly output demonstrates a clear trajectory from traditional historical and archaeological research toward increasingly sophisticated digital methodologies. The Mapping Ancient Polytheisms project represents the culmination of this evolution, combining spatial analysis, database design, and digital mapping to create comprehensive visualizations of ancient Mediterranean religious systems. Her work bridges the gap between traditional humanities scholarship and cutting-edge digital tools, making significant contributions to both fields. GUILLON has received recognition through her coordination of the prestigious ERC MAP project, though specific awards aren't detailed in the available information. Her collaborative work, particularly with Corinne Bonnet and other international scholars, demonstrates her standing within the global academic community focused on Mediterranean antiquity and digital humanities. She has taught various courses including Introduction to Historical Sciences - Antiquity (Bilingual L1, 2016-2019), Written and Oral Scientific Communication (Master's, 2012, 2014), Introduction to Research in History (Master's 2 MEEF, 2014), Introduction to Ancient History (L1, 2010, 2013), and Commerce and Exchanges in Antiquity (L2, 2011). Her teaching reflects her interdisciplinary approach, connecting traditional historical methods with contemporary digital practices. GUILLON's research is centered around the Mapping Ancient Polytheisms project, which represents a significant collaborative effort to digitally map ancient Mediterranean religious systems. This work involves creating sophisticated digital tools and methodologies for analyzing the spatial distribution of divine epithets and religious practices across the ancient Mediterranean world.
Dr. Zaki Malik is a Professor in the Department of Marketing and Business Analytics at the College of Business, East Texas A&M University. He holds the Sandra Lyday & Gary J. Fernandes Endowed Professorship in Business Analytics and has been with the institution since at least 2009. His educational background includes a Ph.D. and M.S. in Computer Science from Virginia Tech (2008 and 2004 respectively), and a B.S. in Computer Science from Wichita State University (2001). Research Focus: Dr. Malik's work spans interdisciplinary domains including: Service Computing architectures and reliable distributed systems Business analytics with emphasis on social media data extraction Semantic integration systems for knowledge management Social network analysis for product taxonomy development His current projects involve developing frameworks for extracting weighted product taxonomies from Twitter data to predict market success. Publication Trends: Recent works demonstrate strong focus on business analytics applications in distributed systems and social media, with increasing emphasis on ethical implications of big data. Methodological contributions include self-healing frameworks for service-oriented systems and novel approaches to cloud-based data processing. Awards and Honors: Teaching Excellence Award (College of Business, 2024) Endowed Professorship in Business Analytics (2020-present) Paul W. Barrus Distinguished Faculty Teaching Award (2020) Multiple IEEE Best Paper Awards (2014-2016) Teaching and Advising: Key courses include Cyber Security & IT Auditing (BUSA 533), Cyber Forensics (BUSA 539), and Advanced Analytics (BUSA 537). He particularly emphasizes Python programming for business analytics, focusing on real-world problem solving.
Matthias Hagen is Professor of Databases and Information Systems at Friedrich-Schiller-Universität Jena. His research focuses on information retrieval (query understanding, conversational search, comparative questions, known-item search, user simulation), natural language processing (clickbait, argumentation), and web data mining. He earned his Ph.D. from Friedrich-Schiller-Universität Jena with a thesis on algorithmic complexity, and previously led research groups at Bauhaus-Universität Weimar and Martin-Luther-Universität Halle-Wittenberg. His current work develops novel methods for retrieval-augmented generation evaluation, neural information retrieval efficiency, and user-centered search systems. Recent publications examine crowdsourcing for RAG evaluation, LLM-based relevance assessment, corpus subsampling techniques, and child-friendly web search evaluation frameworks. He contributes to open web search initiatives and develops tools like the TIREx Tracker for experimental reproducibility in IR research. Dr. Hagen serves on program committees for major conferences including SIGIR, ECIR, and ACL. His research group participates in competitive evaluations such as TREC, CLEF, and Touché. Recent projects explore axiomatic approaches to retrieval, argumentation systems, and the impact of search result quality on decision-making.
Ingemar Johansson Cox serves as a Professor within the Machine Learning section at the Department of Computer Science, University of Copenhagen. His research bridges theoretical machine learning foundations with practical applications across medical data analysis, information retrieval, remote sensing, and sustainability initiatives. His research portfolio emphasizes machine learning applications in high-impact domains, particularly medical data analysis (e.g., early detection of gynecological malignancy using online search activity) and sustainability (e.g., reducing AI's carbon footprint). The Machine Learning section actively contributes to the university's SCIENCE AI Centre, focusing on both algorithmic innovation and real-world problem-solving in biological modeling and environmental monitoring. Recent publication trends reveal expanding work in quantum computing applications for biomolecular modeling, sustainable AI frameworks, and cross-cultural NLP systems. His 2024-2025 output demonstrates strong interdisciplinary collaboration, especially in medical informatics and climate-related AI research. Professor Cox operates within the Department of Computer Science's robust research ecosystem, which includes dedicated compute clusters and specialized initiatives like TreeSense for global tree resource monitoring through remote sensing and deep learning. The department's infrastructure supports large-scale machine learning projects requiring significant computational resources.
Andre Da Silva Mano is a Lecturer at the University of Twente, affiliated with the Department of Urban and Regional Planning and Geo-Information Management and the Digital Society Institute. His academic roles include teaching and research in geographic information systems (GIS), urban planning, and land administration. He holds a position in the Faculty of Geo-Information Science and Earth Observation, focusing on integrating open-source technologies and sustainable development frameworks. His research expertise spans land administration systems (LADM), open-source GIS applications, and spatial data infrastructure. Notable projects include developing educational datasets for teaching LADM standards (ISO 19512) and creating open courseware for GIS and remote sensing education. He has collaborated internationally on initiatives such as IDeaMapSudan, which models urban poverty through geospatial data, and the Spatial Development Framework (SDF) tools for policy implementation. Recent work includes studies on mitigating urban heat islands using 3D digital twins, geospatial modeling for humanitarian response, and paleontological collection management using open-source tools. He actively promotes open science principles, as reflected in ITC’s strategic plan and his advocacy for open-source software as an ethical practice. Key contributions also involve frameworks for responsible land reallocation in customary settings and child-centered urban planning methodologies. Activities: Delivered invited talks on open-source software philosophy and presented research at conferences like the International Federation of Surveyors (FIG). Datasets: Creator of open-access resources like 'andremano/online-core' and 'GIS-4-Land-Administration' available on Zenodo. Labs/Teams: Engaged with interdisciplinary teams in urban resilience, digital humanities, and geospatial education initiatives.
Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.
