Magne Jørgensen is a Professor at the Department of Computer Science within the Faculty of Technology, Art and Design at Oslo Metropolitan University. His work spans software engineering, estimation methodologies, and benefits management in IT projects. Focus areas: Cloud computing, Cybersecurity, Software process improvement Research interests: Effort estimation accuracy, Cognitive psychology in software development, Public sector IT projects Recent publications highlight trends in software development effort estimation , geological carbon storage forecasting , and public IT project benefits management . His work often emphasizes empirical validation and practical applications. Professor Jørgensen contributes to advancing methodologies for judgment-based predictions and autonomous team practices in large-scale software development contexts.
Yi Cheng is an active academic researcher with a prolific publication record spanning multiple disciplines in computer science and engineering. Their work demonstrates strong affiliations with research institutions in China, frequently collaborating with researchers from Chinese Academy of Sciences and other Chinese universities. The publication pattern shows consistent high-quality output across top venues in machine learning, computer vision, and control systems. Yi Cheng's research interests center around artificial intelligence applications across diverse domains. Their work bridges theoretical advances in machine learning with practical applications in medical imaging, robotics, control systems, and natural language processing. Recent publications show increasing focus on multimodal learning approaches, domain adaptation techniques, and interpretable AI systems. The research demonstrates both theoretical depth in algorithm development and practical implementation in real-world scenarios. Analysis of recent publications reveals a strong trend toward developing robust, efficient AI systems that can operate across different domains with minimal adaptation. The work spans from fundamental control theory to applied medical imaging, showing versatility across the AI spectrum. Key methodological contributions include novel transformer architectures, multi-view learning approaches, and stability analysis for complex systems. Yi Cheng has received recognition through publications in top-tier venues including IEEE transactions, ACL, AAAI, and other prestigious conferences and journals. While specific awards aren't detailed in the publication record, the consistent acceptance in high-impact venues indicates peer recognition of research quality. The research trajectory shows increasing collaboration with interdisciplinary teams, particularly in medical applications where AI techniques are applied to healthcare challenges. Current work emphasizes practical deployment considerations including computational efficiency, robustness to domain shifts, and interpretability of models - addressing key challenges in real-world AI deployment.
Małgorzata Danek, PhD, DSc, Eng., serves as Professor at the Department of Geoinformatics and Applied Informatics within the Faculty of Geology, Geophysics and Environmental Protection at AGH University of Science and Technology in Kraków. Her office is located in Building A-0, Room 316, with direct contact via +48 12 617 34 38. Her research centers on computational methodologies for earth sciences, specializing in geospatial data systems and environmental informatics. Key domains include advanced GIS applications for geological modeling, geophysical data processing, and environmental protection technologies. She integrates informatics frameworks with geological analysis to address complex terrain and resource management challenges. Contact details are maintained through the university's telecommunications directory with primary email mdanek@agh.edu.pl.
Mariusz Flasiński is a Professor at the AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection . He works in the Department of Geoinformatics and Applied Informatics , focusing on interdisciplinary applications of informatics in geological and environmental contexts. Contact details: Phone: +48 12 617 47 58 Email: mariusz.flasinski@uj.edu.pl Room: A-0, 3rd floor, room 319
Prof. Andrzej Leśniak is a faculty member at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and the Department of Geoinformatics and Applied Informatics . His research focuses broadly on geoinformatics, applied informatics, and environmental protection. Contact: lesniak@agh.edu.pl | Office: A-0 Building, 3rd Floor, Room 318 | Phone: +48 12 617 23 68. His work aligns with interdisciplinary applications of informatics in geological and environmental sciences, leveraging data analysis techniques for applied research.
Professor Peter Österholm at Åbo Akademi University's Faculty of Natural Sciences and Engineering specializes in Environmental Geology with a focus on Acid Sulfate Soils . His work addresses critical environmental challenges through interdisciplinary approaches. 2023-2025 : Active principal researcher in two major projects, including EU BIONEER for post-mining waste management Research Themes : Geochemical remediation, microbial interactions, water quality impacts Recent publications highlight: 2025: Microbial responses to limestone/peat treatments in hypermonosulfidic sediments 2024: Machine learning applications for acid sulfate soil mapping 2023: Innovative macropore targeting to reduce acid-metal release Collaborations include European Regional Development Fund , Kiertokaari , and Finnish Transport Agency . He organized the 2024 GeoDays conference and serves as co-investigator in multiple international projects.
Franz Neubauer is an active Professor of Geosciences at the Faculty of Natural Sciences, University of Salzburg, Austria. His research spans multiple aspects of structural geology, tectonics, and mountain building processes, with particular expertise in the Alpine system, Tibetan Plateau, and various global orogenic belts. His extensive publication record of 597 publications since 1996 demonstrates sustained scholarly productivity in the earth sciences. His research interests focus on structural geology, tectonics, mountain building processes, crustal evolution, and geochronology. His work integrates field observations with laboratory analyses to understand the formation and evolution of mountain belts worldwide, with particular emphasis on the Alps, the North China Craton, and the Tibetan Plateau. His recent publications demonstrate continued engagement with cutting-edge research questions in crustal deformation, orogenic processes, and the tectonic evolution of major mountain systems. Neubauer's publication record shows consistent output with 13 publications in 2024 and 5 already published (or accepted) in 2025 across high-impact journals including Earth-Science Reviews, Precambrian Research, and Journal of the Geological Society. His research spans multiple sub-disciplines within geology, including structural geology, petrology, geochronology, and economic geology, with particular focus on mountain building processes, crustal deformation mechanisms, and the evolution of major orogenic systems. He was awarded the Eduard Suess-Medaille in September 2024, a prestigious recognition in the field of geology named after the renowned Austrian geologist. This award highlights his significant contributions to geological research. Neubauer has been actively involved in numerous research projects including geological studies in Iran, Caribbean subduction zone research, fault zone mechanics investigations, and interdisciplinary geographic information science initiatives. His academic activities include 85 presentations, 22 poster presentations, and various editorial and committee roles including habilitation and appointment committees.
Danijela Dimitrijević is a Postdoctoral Researcher in the Chair of Palaeontology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). Her work focuses on the evolutionary and ecological dynamics of marine reef communities across deep time, particularly the morphological trait evolution of scleractinian corals and their responses to climate upheavals. Education: PhD in Paleontology (FAU, 2024) International Master in Geosciences: Palaeobiology (FAU, 2021) International Master in Applied Ecology (EMMC-IMAE, 2015) BSc in Geospatial and Environmental Science (University of Belgrade, 2011) Research Interests: Danijela investigates coral reef evolution , trait-based extinction risk , and marine community responses to hyperthermal events . Her projects integrate quantitative trait analysis (e.g., corallite size) with paleoclimatic data to assess long-term ecological resilience. She also co-developed the Ancient Reef Traits (ART) database for global reef-building organism data. Publication Trends: Recent work spans census-based reef carbonate production , bioerosion patterns in Triassic corals , and trait decoupling in extinction events . She emphasizes open science and data equity in paleontological research. Fieldwork & Collaboration: Active in field studies (e.g., Silurian reefs in Sweden) and international collaborations, Danijela bridges geological history with modern conservation challenges through interdisciplinary research and science communication initiatives.
Dr. Torsten Dikow is a Research Entomologist and Curator of Diptera & Aquatic Insects at the National Museum of Natural History , part of the Smithsonian Institution . His work focuses on the phylogenetic relationships and evolutionary history of Asiloidea flies, using morphological and genomic evidence, alongside cybertaxonomic tools for open-access biodiversity data. PhD in Entomology, Cornell University (2007) M.S. in Zoology, Universitaet Rostock, Germany (2002) Research Interests : Deciphering diversity and evolutionary history of Asilidae (assassin flies), Mydidae (mydas flies), and Diptera broadly. He specializes in: Phylogenetic systematics using morphological and genomic data Revisionary taxonomy with cybertaxonomic tools Application of specimen occurrence data to biodiversity studies Genomic analysis of predatory fly species Biogeography of Afrotropical and Namib Desert Diptera Publication Trends : His recent work spans biodiversity datasets, DNA barcoding, and phylogenomics, with a focus on Asilidae and Mydidae. He integrates museum collections and genomic tools to study evolutionary relationships and species distribution. Scientific Awards : Biodiversity Open Data Ambassador (GBIF, 2018) NMNH Science Achievement Award (2018) NMNH Peer Recognition Award (2017) John Henry Comstock Award (2006) Activities : Torsten contributes to international dipterology conferences and serves on co-author networks with institutions across the U.S., Germany, and South Africa. His research is published in journals like African Invertebrates and Systematic Entomology .
R. Terry Chesser is a Research Associate affiliated with the U.S. Geological Survey (USGS) and the Smithsonian National Museum of Natural History, where he contributes to the Department of Vertebrate Zoology. He holds a Ph.D. from Louisiana State University (1995) and a B.A. from Georgia State University (1982). His research focuses on avian systematics, evolution, and biogeography, with specific interests including: Systematics of Furnariidae (ovenbirds) and suboscine birds South American biogeography (Andean/Amazonian regions) Austral migrant ecology Coevolution of phabine pigeons and feather lice Systematics of Turnicidae (buttonquail) Phylogeography of Australian waterbirds Australasian bird and mammal evolution Chesser's publications emphasize taxonomic revisions, conservation genomics, and biogeographic patterns in birds. His frequent contributions to ornithological checklists and collaborative studies on speciation reflect a strong focus on systematic ornithology and molecular phylogenetics, with recent work integrating genomic techniques to resolve complex evolutionary histories.
Magnus Bruaset is a Professor and Director of the Software & AI Department at Simula Research Laboratory , with expertise in computational geosciences, numerical methods, and quantum computing. His work spans geological modeling, PDE solvers, and software development frameworks like Diffpack. Education : PhD in preconditioned iterative methods for elliptic problems (1992), Master's in preconditioning symmetric systems (1988). Research Interests : Focus on numerical analysis, GPU acceleration of geological simulations, stochastic modeling for uncertainty quantification, and quantum computing strategy. Key projects include Hamilton-Jacobi solvers, particle-based flow models, and contributions to digital contact tracing systems. Advising & Collaboration : Co-developed PhD training workshops for scientific communication and contributed to industrial-academic partnerships. Collaborated with institutions including ChevronTexaco, Wolfram Research, and University of Oslo.
Risto Väinölä serves as Chief Superintendent and Zoology Unit Supervisor in the Doctoral Programme in Wildlife Biology at the Finnish Museum of Natural History (Luomus), University of Helsinki. He oversees scientific collections for Mammals, Pisces, and Aquatic invertebrates (except insects), with research spanning northern aquatic ecosystems from the Baltic Sea to Lake Baikal. His primary research integrates molecular systematics, phylogeography, and population genetics to investigate cryptic species, hybrid zones, and faunal history across Atlantic-Pacific connections. Key focus areas include glacial relict mammals in northern lakes, Baltic Sea mussels/polychaetes, and Lake Baikal's endemic diversity, revealing evolutionary patterns through genetic analyses of species like amphipods, herring, and seals. Recent publications (2021-2025) demonstrate consistent contributions to freshwater/marine biodiversity databases and studies on climate-driven species shifts. Work emphasizes cryptic diversity in crustaceans, hybridization in fish, and non-indigenous species impacts, with strong methodological integration of nuclear/mitochondrial DNA sequencing and biogeographic modeling. No scientific awards are documented in the provided materials. Väinölä has supervised 2 doctoral works and led two major Academy of Finland-funded projects: Cryptic diversity and phylogeography of freshwater crustaceans (2019-2024) as Principal Investigator, and Evolution of amphibious marine fauna (2009-2012) as Project Director. His research program combines field collection, genetic analysis, and database curation to address conservation challenges. As Chief Superintendent of Luomus' Zoology Unit, he manages extensive natural history collections while contributing to global taxonomic resources like the World Amphipoda Database and World List of Lophogastrida. His team fosters international collaboration on northern aquatic biodiversity, with emphasis on museum-based research for environmental monitoring.
Roland Barthel serves as Professor in the Department of Geosciences at the University of Gothenburg's Faculty of Science and concurrently holds the position of Vice-Dean for the Faculty Office of Natural Sciences and Technology. Previously Head of Department (2018-2022), he specializes in groundwater resources within the context of climate change impacts across Sweden and Europe. His research integrates hydrological science with socioeconomic factors to address critical water challenges including drought, scarcity, and extreme weather events. Barthel emphasizes the societal dimensions of water management, particularly regarding unregulated private wells that constitute a significant portion of Sweden's drinking water supply. His interdisciplinary approach bridges natural and social sciences to develop implementable solutions requiring consideration of economic, political, and social frameworks alongside physical system understanding. Analysis of his publication record reveals a dominant focus on data-driven methodologies for groundwater dynamics assessment, drought propagation analysis, and climate adaptation strategies. His work consistently emphasizes regional-scale studies in temperate and high-latitude environments, with increasing attention to interdisciplinary collaboration frameworks. Scientific recognition includes: Student Union's Pedagogical Award (2014) Student Union's Pedagogical Award (2016) As an educator, Barthel pioneered hydrology instruction at the university by developing the master's course Applied Hydrology (GVG460) and undergraduate Hydrology and Hydrogeology (GV2002). He leads Earth Sciences thesis supervision, chairs the program committee, and contributes to multiple geoscience courses. His teaching excellence earned three consecutive pedagogical award nominations with wins in 2014 and 2016. He currently participates in an EU Erasmus+ project developing digital teaching tools with European partners, addressing high market demand for groundwater specialists in Swedish infrastructure and environmental sectors.
Dr. Ikechukwu Nkisi-Orji is a Research Fellow at Robert Gordon University's School of Computing, Engineering & Technology, where he conducts research at the intersection of artificial intelligence, semantic technologies, and case-based reasoning. He is affiliated with the university's Artificial Intelligence & Reasoning Research Group and has extensive collaboration experience with the British Geological Survey and Oil and Gas Innovation Centre. His research focuses on intelligent information retrieval systems, ontology engineering and alignment, semantic web technologies, natural language processing, and case-based reasoning applications to real-world problems. Dr. Nkisi-Orji has made significant contributions through the development of the CloodCBR platform, a cloud-based CBR framework that received an honorable mention at ICCBR 2020, and the iSee platform for personalized explainable AI experiences. His recent publication trends (2023-2025) show a strong focus on integrating case-based reasoning with modern AI techniques, particularly large language models and retrieval-augmented generation systems. His work increasingly addresses explainable AI challenges, legal question answering systems, and methods for improving the reliability of AI outputs in specialized domains. Honourable mention at ICCBR 2020 for CloodCBR platform Dr. Nkisi-Orji has active supervision availability for PhD students in Semantic Information Retrieval, Natural Language Processing, and Ontology design/alignment/application. His research is supported by collaborations with industry partners including the Oil and Gas Innovation Centre, where he has worked on extracting business intelligence from text and applying case-based reasoning to asset inventory management. As the key architect of the CloodCBR platform and contributor to the iSee XAI platform, Dr. Nkisi-Orji leads research efforts focused on making AI systems more transparent, reliable, and applicable to industrial-scale problems through the integration of traditional AI methods with contemporary approaches.
Dr. Torsten Hahmann serves as Associate Professor in the School of Computing and Information Science at the University of Maine and is affiliated with the Spatial Data Science Institute. He directs the Spatial Knowledge and Artificial Intelligence (SKAI) lab and joined the university in 2013 after completing postdoctoral research at Autodesk. His educational background includes a Ph.D. (2013) and M.Sc. (2008) from the University of Toronto. Dr. Hahmann's research spans spatial informatics and artificial intelligence, focusing on knowledge representation, logic, and automated reasoning for geospatial data integration. His work bridges computer science, geography, philosophy, and environmental sciences to develop ontologies that convert precise computational spatial data into qualitative human descriptions and integrate heterogeneous datasets. Current major projects include a $6M NSF Urban Flooding Open Knowledge Network (UF-OKN), $1.5M NSF Safe Agriculture and Water Graph (SAWGraph) for PFAS contamination, USDA-funded CelloGraph for cellulose materials, and Geological Survey of Canada collaboration on water feature semantics. He leads development of the macleod toolkit for Common Logic ontology reasoning. His research methodology combines theoretical advances in logic-based AI with domain-specific applications in environmental science, urban infrastructure, and agricultural safety, securing substantial federal funding from NSF and USDA for real-world impact.
