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Astrid von MentzerView profile

Senior Lecturer

• Microbial Genomics
• Escherichia coli Pathogenesis
• Antibiotic Resistance
• +3 more

Astrid von Mentzer is an Associate Senior Lecturer at the University of Gothenburg , affiliated with the Department of Microbiology and Immunology . Her research focuses on pathogenic Escherichia coli (ETEC), combining genomic approaches with machine learning to understand bacterial adaptation, spread, and disease mechanisms. Specializes in microbial genomics and antibiotic resistance research Investigates host-pathogen interactions through adhesin proteins Develops data-driven models for predicting pathogen transmission Studies hybrid E. coli strains with enhanced virulence potential Her recent work examines ETEC clones in aquatic environments (2025) and their molecular epidemiology in sub-Saharan Africa. She has created genomic resources like the ETECFinder database and contributed to understanding CS23-expressing isolates . Her lab ( vonmentzerlab.com ) applies computational methods to map transmission dynamics between humans, animals, and environmental reservoirs. Key methodologies include whole-genome sequencing , machine learning classification , and host specificity analysis . Research outcomes inform public health strategies for diagnostics and vaccine development against resistant strains.

Maximilian TP von Andrian-WerburgView profile

Researcher

• Evolutionary Media Psychology
• Sexual Behavior Research
• Online Dating Dynamics
• +4 more

Dr. Maximilian TP von Andrian-Werburg is a Researcher at the University of Würzburg's Faculty of Human Sciences, specifically within the Institute for Human-Computer Media at the Chair of Media Psychology. Born in 1989, he has been working as a research associate since October 2016 and was part of the founding class of the Media Communication program (WS 10/11). His office is located at Campus Hubland North, Oswald-Külpe-Weg 82, Room 01.019. His research focuses on evolutionary media psychology, examining biological and evolutionary influences on human experience and behavior in digital contexts. Key areas include gender and media interactions, language usage in online partner selection, and the impact and reception of sexually explicit material. He employs methodologies combining web tracking with survey data to study pornography consumption patterns and online dating behaviors. His recent publications demonstrate a consistent focus on understanding the complex relationships between sexual fantasies, pornography usage, and sexual behavior through network analysis approaches. His work frequently appears in journals like Archives of Sexual Behavior and Journal of Sex Research, reflecting his specialization in sexual behavior research from an evolutionary psychology perspective. Scientific Awards and Grants: HDC/Overheadförderung der Fakultät für Humanwissenschaften for multiple conference participations (HBES, SSSS, IASR) DAAD Kongressreisenstipendium for ICA conferences in Washington (2019) and San Diego (2017) HDC funding for Open Access publication in Journal of Sex Research Research funding for participant compensation and representative sampling As an active member of multiple scholarly societies including the German Psychological Society, Human Behavior and Evolution Society, and ICA Communication Science & Biology Interest Group, Dr. von Andrian-Werburg regularly presents his research at international conferences. He serves as an internship supervisor for Bachelor Media Communication students (surnames Q-Z) and collaborates extensively with colleagues like Frank Schwab and Björn P. Lange on evolutionary approaches to media psychology.

• Marine Ecology
• Environmental Modeling
• Stochastic Processes
• +3 more

Giovanni Denaro is a Researcher at the University of Palermo, affiliated with the School of Basic and Applied Sciences. His work integrates mathematical modeling with environmental and marine research, focusing on mercury bioaccumulation, phytoplankton dynamics, and climate change impacts on Mediterranean ecosystems. He teaches Mathematics for Experimental Research with Statistics in the Biodiversity and Technological Innovation program. University: University of Palermo School: School of Basic and Applied Sciences Role: Researcher (MATH-04/A) His research spans stochastic ecological modeling, deep chlorophyll maximum analysis, and marine pollution tracking. Recent publications highlight applications of computational methods to understand species interactions, contaminant transport, and ecosystem responses to environmental variability. Office hours are held in Trapani, Palermo, and via Microsoft Teams.

Harry AgiusView profile

Senior Lecturer

• Digital Media
• Digital Games
• Creative Computing
• +5 more

Dr. Harry Agius is a Senior Lecturer in Computing at Brunel University, affiliated with the Creative Computing Research Group and Institute of Digital Futures under the College of Engineering, Design and Physical Sciences. His expertise spans digital media, games, and creative computing, with a focus on AI-driven personalization and immersive experiences. Research interests include user-centered artificial intelligence , graphical asset generation , MPEG-7 metadata , and collaborative gaming . His work bridges AI, digital media, and human-computer interaction, with recent articles examining intelligent game asset frameworks and evaluation metrics for AI-generated content. Teaching areas encompass digital experiences , emerging technologies , and responsive web development . He serves as Section Editor for Track 4 (Digital Games, VR/AR) in Multimedia Tools and Applications and co-edited the Handbook of Digital Games (IEEE/Wiley, 2014). His lab affiliations include the Creative Computing Research Group and Institute of Digital Futures , and he collaborates with researchers like Dr. Damon Daylamani-Zad and Prof. Marios Angelides.

• Digital User Experience
• Mobile Fashion Marketing
• e-Commerce
• +6 more

Dr Zofija Tupikovskaja-Omovie is a Lecturer in Digital User Experience and Web Design at Manchester Metropolitan University's School of Digital Arts (SODA). She teaches across multiple programs including BSc (Hons) Web and User Experience Design, Creative Digital Design Professional Degree Apprenticeship, and Digital Marketer Degree Apprenticeship courses. PhD in Digital Consumer Behaviour and Mobile Fashion Marketing Fellow of the Higher Education Academy (FHEA) PGCLTHE in Learning and Teaching in Higher Education Her research focuses on digital user experience, eye tracking technology, and consumer behavior analysis in m-retail environments. She has developed frameworks for mapping shopping journeys, auditing digital analytics, and designing inclusive platforms across e-Commerce, AR/VR/XR, and Metaverse applications. Her work bridges fashion design with modern digital analytics. Recent research trends include: mobile consumer segmentation (2014-2020), UX optimization for fashion retailers (2016-2022), and Metaverse art gallery analysis (2029). She combines eye tracking, Google Analytics, and qualitative interviews to improve digital platforms. FHEA (Professional Recognition) AHRC Post-Doctoral Creative Economy Engagement Fellowship As a researcher, she has led projects examining gender differences in mobile shopping behavior (2020), platform preferences (2015), and mobile consumer journey types (2019). Her teaching includes UX Methods, Creativity through Research, and Digital Consumer Segmentation. She collaborates with Pentland Brands on consumer behavior research and has presented at international conferences including ETRA (2018, 2020), ICMB (2014), and contributed to the MMU Postgraduate Research Conference (2015).

• Artificial Intelligence
• Cybersecurity
• Security of AI
• +4 more

Isabel Cecília Correia da Silva Praça Gomes Pereira is a Coordinator Professor at the School of Engineering of the Polytechnic Institute of Porto (ISEP), where she serves as Director of the Master on Informatics Engineering and Advisor of ISEP Presidency for R&D. She is also a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development), a research unit ranked as Excellent by the Portuguese Science & Technology Foundation. Dr. Praça holds a PhD in Electrical and Computer Engineering - Industrial Informatics from the University of Trás-os-Montes e Alto Douro, and completed her post-doctoral studies in Artificial Intelligence - Multi-Agent Systems with support from the Portuguese National Science Foundation (SFRH/BPD/30111/2006). Her academic journey includes progressive appointments from Assistant to Adjunct Professor and finally to Coordinator Professor at ISEP. Her research focuses on Artificial Intelligence applied to cybersecurity and security of AI , with significant contributions to applying AI in various domains including cybersecurity (projects like AIDA, SAFE, VESTA), industry (SeCoIIA, Cyberfactory), and energy systems (SPET, MAS-Society). She leads a research team at GECAD working on these topics and has strong connections with over 100 companies and technology transfer centers across more than 30 countries. Analysis of her recent publications reveals a strong trend toward AI security, with particular emphasis on adversarial attacks against AI systems, secure implementation of AI in critical domains, and privacy-preserving AI techniques. Her work spans both theoretical foundations and practical applications across multiple sectors including energy, healthcare, and network security, demonstrating her ability to bridge academic research with real-world applications. Dr. Praça has been recognized as an expert by several prestigious organizations including the European Union Agency for Cybersecurity (ENISA), where she contributes to working groups on Security of AI and the European Cybersecurity Skills Framework. She also serves as an expert for NATO's Defence Innovation Accelerator for the North Atlantic (DIANA) and represents ISEP in the European Cybersecurity Organization (ECSO). As an educator, she teaches Machine Learning and Multi-agent Systems in the MSc in AI program, and Security of Communications and Infrastructures in the Cybersecurity branch of the MSc in Informatics. She currently supervises 4 PhD students in AI security and privacy and has guided 45 Master's theses, demonstrating her commitment to developing the next generation of researchers and practitioners in her field. Her research is supported by numerous international and national grants, including multiple Horizon Europe and Horizon 2020 projects where she serves as Principal Investigator or Co-PI. She has participated in over 35 R&D projects totaling significant funding, with a strong track record of translating research into practical applications through industry partnerships.

• Landslide Risk Assessment
• Applied Geology
• Geohazard Mitigation
• +5 more

Marco Mulas is an Associate Professor at the Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia. He teaches courses including Landslide Risk Assessment and Mitigation , Geothematic Surveying and Cartography , and Applied Geology for Civil and Environmental Engineering, focusing on landslide dynamics, geomorphological mapping, and hazard modeling. His research spans landslide monitoring using UAV-RTK/LiDAR, GNSS arrays, InSAR, and Digital Image Correlation. Key projects include the SoLoMon framework for regional landslide monitoring and development of unconventional Micropiles Tripods Shields for earthflow control. He specializes in rainfall-landslide thresholds, groundwater contamination modeling, and multi-temporal displacement analysis. Recent publications (2025-2016) cover topics like high-frequency UAV surveys (Baldiola landslide), effective rainfall impact on flysch landslides, debris flow hazard zonation, and structural analysis of rockfall precursors via sinusoidal wave fitting. His work emphasizes integrating field surveys with advanced geospatial datasets for hazard assessment. Contact: marco.mulas@unimore.it | Office: via G. Campi, 103 - Modena

Julie BourbeillonView profile

Lecturer

• Bioinformatics
• Systems Biology
• Artificial Intelligence
• +9 more

Julie Bourbeillon is a Lecturer in Computer Science at Institut Agro Rennes-Angers , where she co-directs the Department of Statistics and Computer Science. Her work bridges Bioinformatics , Computer Vision , and Data Integration with applications in Plant Biology and Horticulture . She has developed educational frameworks for integrating digital skills into horticultural training using the PiX framework . Education : PhD in Computer Science (2007, Université Grenoble 1), Master of Science and Engineering for Health and Medicine (2004), Engineer (2002, INAPG) Her research focuses on semantic distance , heterogeneous data integration , and data visualization for biological datasets. She leads the DIVIS project for handling complex phenotypic data and co-developed ELVIS and QuaDS software tools. Key projects include: DIGITOM (2024-2027): Digital twins for climate-resilient agriculture ERICA (2025-2026): Robotic climate mapping in greenhouses GRIOTE (2014-2018): Bioinformatics collaboration

• Social Computing
• Natural Language Processing
• Dialogue Systems
• +5 more

Gerasimos (Jerry) Spanakis is an Assistant Professor at the Department of Advanced Computing Sciences and Maastricht Law+Tech Lab, Faculty of Law, both at Maastricht University in the Netherlands. His research focuses on Social Computing, including computational social media modeling, dialogue systems, information retrieval, and multimodal pattern discovery using Large Language Models. Member of Cognitive Systems research area at DACS/UM Member of Maastricht Law and Tech Lab Principal Investigator for EU project VOXReality Researcher for NSMD, HumanAds, RegTech4AI Technical expert for European Commission E-enforcement academy project Coordinator of MaastrichtNLP reading group Jerry leads the supervision of bachelor's and master's theses across various computational topics and has advised numerous ongoing and completed students. His work intersects AI ethics, legal tech, and behavioral modeling, with a focus on responsible AI deployment and social bias detection in language models. Technical expert for European Commission Co-organizer of the Natural Legal Language Processing (NLLP) Workshop Active in Open Science Community Maastricht

• Visual Analytics
• Information Visualization
• Time-Oriented Data Analysis
• +5 more

Phong H. Nguyen is an active researcher in visual analytics and information visualization, with verified affiliation to RedSift. His work spans interdisciplinary collaborations across institutions like City University London, Fraunhofer IAIS, and Middlesex University. Key research themes include time-oriented data visualization , user behavior analytics , and human-computer interaction . He contributes to spatio-temporal analysis , security visualization , and emergency response systems . Research Trends in his publications emphasize analytic provenance for sensemaking, time-set relationships in data visualization, and machine learning integration for behavioral pattern recognition. Notable applications include cybersecurity monitoring , epidemiological modeling , and laser material processing . Collaborative Networks involve partnerships with leading experts in visual analytics, including Professor Cagatay Turkay (University of Warwick) and Professor Jason Dykes (City St George's, University of London).

Diana AndoneView profile

Associate Professor

• eLearning Technologies
• Open Education
• Digital Skills
• +3 more

Dr. Diana Andone serves as Director of the eLearning Center and Associate Professor at Politehnica University of Timisoara. She leads initiatives in digital education, virtual reality integration, and open educational resources (OER) through projects like the award-winning CVUPT Virtual Campus and UniCampus (Romania's first MOOC platform). Her academic career spans 25+ years of international teaching across 6 countries. PhD in Designing eLearning Spaces (University of Brighton, UK) Master in European Studies (West University of Timisoara) Postgraduate in Open Learning (Heriot-Watt University, UK) Master in Artificial Intelligence (Politehnica University of Timisoara) As a pioneer in digital education, she coordinates 30+ EU-funded projects including Erasmus+ DigiCulture and ViCaDiS , focusing on open education, digital skills for creative industries, and virtual mobility. Her research bridges art, technology, and education through projects like Spotlight Heritage Timisoara - a digital cultural heritage initiative. She holds leadership roles in global academic communities: EDEN Vice President for Communication (2018-2021) , IEEE Romania Education Chair , and IEEE Education Society Board member . Recipient of 11 Best Paper Awards and 2021 IEEE Distinguished Chapter Leadership Award. Dr. Andone actively supports regional innovation ecosystems as mentor for StartUp Weekend , HacktTM , and Girls in Tech initiatives. She also contributes to cultural development as member of Timișoara 2023 European Capital of Culture Task Force and social responsibility through Pentru Voi Foundation .

Rui AbreuView profile

Professor

• Software Quality
• Software Testing
• Debugging
• +5 more

Rui Abreu is a Full Professor at the Faculty of Engineering of the University of Porto, Portugal. His academic career spans multiple institutions including IST, ULisbon where he served as an Associate Professor, and the University of Porto where he previously held the position of Assistant Professor. He has also been a Visiting Researcher at Google NYC (2019-2020) and a member of the Model-Based Reasoning group at PARC's System and Sciences Laboratory. Dr. Abreu earned his Ph.D. in Computer Science - Software Engineering from the Delft University of Technology, The Netherlands, and his M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality with emphasis on automating testing and debugging phases of the software development life-cycle as well as self-adaptation. With extensive expertise in both static and dynamic analysis algorithms, his work spans traditional software engineering, quantum software testing, and security-focused development practices. His recent publications demonstrate a strong focus on applying AI techniques to software engineering problems, quantum software testing, and security vulnerability detection. The trend shows increasing integration of large language models in debugging tools and expanding research into quantum software verification. Dr. Abreu has received significant recognition for his work, including 6 Best Paper Awards and a Distinguished Paper Award at ESEC/FSE 2019. His research has attracted considerable attention in the software engineering community. As an entrepreneur, he co-founded DashDash in January 2017, a platform that allows users to create web applications using only spreadsheet skills. The company secured $9M in Series A funding in May 2018. His industry experience complements his academic work, particularly in the areas of practical software tools and applications. Dr. Abreu has been actively involved in numerous conferences, serving as General Chair for ICST 2020, Program Committee member for multiple tracks across various conferences, and as Steering Committee member for ICST. His leadership in the software engineering community is evident through his extensive service and contributions to the field.

Fred AndrusView profile

Professor

• Paleoclimatology
• Geochemistry
• Sclerochronology
• +5 more

Dr. Fred Andrus is a Professor in the Department of Geological Sciences at the University of Alabama , specializing in reconstructing paleoclimate and paleoenvironment through sclerochronological and isotopic analysis of marine and freshwater mollusk shells, coralline algae, and fish otoliths. His work bridges paleoclimatology , isotope geochemistry , and human-environment interaction across diverse regions including the Southeastern US , Pacific coast , Aleutian Islands , coastal Peru , and Greenland . Education: PhD in Geology, University of Georgia (2000) MA in Anthropology, University of Georgia (1995) BA in Anthropology, University of Georgia (1990) His research develops high-resolution climate proxies using stable oxygen and carbon isotopes for temperature and salinity reconstruction, alongside nitrogen isotopes for pollution tracking. His lab group (2025) includes students analyzing mollusk shells for El Niño variability , sea ice extent , and human coastal adaptation . Recent publications focus on shell ring chronology in the Georgia coast (2024), ammonite aptychi analysis (2024), and Antarctic sea-ice proxies (2024). He has mentored 15+ graduate students in projects spanning Quaternary ecology , upwelling systems , and prehistoric resource management . Scientific Awards: Smithsonian Tropical Research Institute fellowship for Hillary Sletten (2016) Advising: PhD/MS students in Alabama , Georgia , and South Carolina Collaborations with institutions in Boston , Western Washington , and Smithsonian

Patrick WangView profile

Adjunct Associate Professor

• Biomedical Informatics
• Knowledge Graphs
• Natural Language Processing
• +4 more

Patrick Wang serves as an Adjunct Associate Professor in the Department of Electrical and Computer Engineering at Duke University, teaching courses including IDS 703 Introduction to Natural Language Processing. His primary contact email is patrick.wang@duke.edu. His research spans two major domains: biomedical informatics and computer vision. In biomedical informatics, he specializes in knowledge graph construction (notably ROBOKOP and Biomedical Data Translator systems), biomedical data integration, and hypothesis generation for environmental health and pandemic response. His computer vision work focuses on radar-based systems, autonomous driving algorithms, and object detection techniques leveraging physics-based modeling and camera geometry. Key methodologies include federated data systems, real-time tracking, and spatial resolution optimization. Analysis of his 15 most recent publications reveals a strategic pivot from computer vision (2010-2017) toward biomedical informatics (2018-2022). Early work centered on radar systems and autonomous driving with monocular video, while recent output emphasizes knowledge graphs for COVID-19 data integration, environmental health observations, and universal biomedical data translation. The ROBOKOP framework appears consistently across recent publications, indicating it as his flagship project for federated biomedical knowledge systems. No scientific awards were documented in the provided source material. While his course IDS 703 confirms NLP instruction, no student advising relationships or research grants were specified in the available information. The adjunct position suggests industry collaboration potential, though specific partnerships remain unreported.

• Learning in 3D environments
• Embodied learning using tangible user interfaces and gestures
• Interaction design in virtual reality
• +2 more

Dr. Alexander Skulmowski is a researcher at the Psychology of Digital Learning Media department of Technische Universität Chemnitz . His work focuses on embodied learning, virtual reality interaction design, and cognitive load theory in 3D environments. He also investigates visual aesthetics in human-computer interaction and metacognitive judgments. Doctoral researcher in DFG Research Training Group CrossWorlds (2014-present) Junior lecturer at TU Chemnitz (2014-2017, 2017-present) Master of Science in Cognitive Science (University of Osnabrück, 2013) Bachelor of Arts in Philosophy and Psychology (University of Bonn, 2011) His research combines tangible user interfaces with educational psychology to improve learning outcomes in immersive environments. Publications analyze the relationship between physical interaction and cognitive processing, including studies on haptic perception, gesture-based interfaces, and color visualization techniques.