Jochen Schiewe is a Researcher specializing in geovisualization, GIS, and spatial uncertainty analysis, with a career spanning over two decades. His work bridges cartography, urban planning, and computational methods. Key Affiliations: University of Hanover (PhD), ISPRS community, EuroVA workshop Research Focus: Geovisualization techniques, uncertainty quantification, smart cities, and historical map analysis His 2024 publication introduces agent-based approaches for preserving spatial patterns in urban data. Earlier works examine sound maps for data representation, land cover change analysis, and interactive GIS for public participation. Schiewe's scholarly contributions emphasize human-computer interaction and cognitive aspects of mapping . He has served as editor for special issues on smart city solutions and collaborated with leading experts in GIS and visualization.
Marco Brambilla is a Professor at Politecnico di Milano and a Lecturer at Università della Svizzera italiana (USI) . He leads the Data Science Lab at Politecnico di Milano's Department of Electronics, Information and Bioengineering (DEIB) and serves as director of Computer Science and Engineering B.Sc. and M.Sc. curricula . Research focus on data science, AI explainability, web science, crowdsourcing, model-driven development, and social media analytics Co-inventor of the OMG IFML standard and holder of 2 patents on crowdsourcing and multi-domain search Founder of four startups: WebRatio, Fluxedo, Servitly, and Quantia His recent publications explore: Graph-based Retrieval Augmented Generation for energy efficiency Human-AI interaction analysis through live streaming platforms Model-driven approaches for multiexperience AI interfaces Explainable AI with human-in-the-loop validation Scientific contributions include: Best paper awards at international conferences Associate editor role at SIGMOD Records Editorial contributions to the PERISCOPE H2020 project on pandemic impacts He actively participates in European research initiatives such as: TRIGGER project on EU global governance PERISCOPE for pandemic preparedness
Arnulph Fuhrmann is a Professor in Computer Science at Technische Universität Darmstadt. His research focuses on Virtual Reality (VR), Augmented Reality (AR), and advanced rendering techniques. He holds a Ph.D. in Computer Science (2006) from TU Darmstadt, with his dissertation titled Interaktive Animation textiler Materialien (Interactive Animation of Textile Materials). His work spans topics such as real-time rendering optimization, collision detection for deformable objects, and immersive systems for sign language communication. Notable contributions include studies on diffraction phenomena simulation, impostor-based rendering acceleration, and hybrid rendering techniques combining rasterization and ray-tracing. His research often addresses challenges in visual quality, performance, and user interaction in VR/AR environments. Recent articles highlight advancements in diminished reality systems, facial feature enhancement for avatars, and collaborative mixed reality frameworks. Fuhrmann collaborates extensively with institutions like RWTH Aachen and researchers in fields like human-computer interaction and computer vision. His work emphasizes practical applications of theoretical advancements, such as tools for software visualization in VR and accessibility solutions for deaf/hard-of-hearing users.
Professor Damien Masson is an Assistant Professor in Human-Computer Interaction (HCI) at the Université de Montréal , affiliated with Mila and IVADO . He leads the Montréal HCI group and focuses on interactive systems for AI, document interaction, and software learning. His research bridges HCI principles with AI to enhance user experience in complex applications. Education : PhD in Computer Science (University of Waterloo, 2019-2023), MSc in Computer Science (Université de Lille, France), BSc in Computer Science (Université de Lille, France). Research Interests : Designing intelligent systems (e.g., DirectGPT), visualizing information (e.g., Charagraph/ChartDetective), and augmenting digital documents (e.g., Chameleon). He explores how interface metaphors and direct manipulation can improve interactions with AI and data. Recent Work : His 2025 CHI papers introduced Textoshop (drawing-inspired text editing) and linked writing tools to user needs. In 2024, DirectGPT demonstrated faster LLM interactions via direct manipulation. Earlier work includes Statslator (statistical reporting) and ChartDetective (data extraction from vector charts). Awards : 2024 Bill Buxton Award (best HCI dissertation), 2023 CHI Best Paper (ChartDetective), and 2020 CHI People's Choice Award (Chameleon demo). Lab & Collaborations : Based in the André-Aisenstadt building, his group collaborates with institutions like Mila and UWaterloo. He actively mentors students in HCI and AI-related projects.
Prof. Edith Smit is a Professor in the Department of Persuasive Communication at the University of Amsterdam's Faculty of Social and Behavioural Sciences. Her research focuses on digital media effects, health communication, consumer behavior, and environmental discourse. She explores topics such as the ethical implications of online advertising, privacy protection strategies, and the persuasive potential of emerging technologies like virtual assistants and mobile health apps. Research Interests: Behavioral responses to digital advertising Health interventions through technology Social media's role in environmental activism Privacy behavior and empowerment Key Themes in Publications: Recent work emphasizes the interplay between technology and societal issues, including the effectiveness of just-in-time health nudges, the dynamics of trust in AI interactions, and the framing of environmental challenges on platforms like TikTok. Her studies often combine experimental methods with digital trace analysis. Her work addresses both theoretical and applied dimensions of communication science, contributing to domains like public health policy, consumer rights, and sustainable marketing strategies.
Markus Löchtefeld is an Associate Professor at the Department of Architecture, Design and Media Technology within the Technical Faculty of IT and Design at Aalborg University. He holds leadership roles as Head of Studies and Deputy Head of Department. His research focuses on Human Computer Interaction, Sustainable Design, Wearable Technology, and Electrochromic Displays. Löchtefeld has contributed to over 113 publications and 6 research projects, including initiatives like 'Design Vocabularies' and 'Digital Empowerment Tools for Green Citizen-Driven Initiatives.' His work emphasizes sustainability through projects such as 'Design for Long-life Smart Products' and 'EcoPlotter,' a toolkit for electrochromic displays. Key collaborations include the ERASMUS+ funded 'ABRA: Artificial Biology, Robotics, and Art.' He has received the Best Paper Award at ACM MobileHCI 2017. Research Interests: Interaction Design, Wearable Devices, Sustainable ICT, Electrochromic Materials Notable Projects: Design Vocabulary Book Series Longevity Strategies for Smart Products Virtual Reality for Sustainability Education Löchtefeld's articles explore topics like peripheral vision training in VR, tangible tokens for product longevity, and ethical UX design's environmental impact. His work bridges technology and sustainability, addressing both technical innovation and societal challenges.
Björn Annighöfer is a Professor at the Institute of Aviation Systems (ILS) at the University of Stuttgart, where he serves as Managing Director. His work focuses on complex, digital, and safety-critical avionics systems, including self-adaptive platforms, cybersecurity, and AI-supported aerospace systems. Research interests include: Self-adaptive avionics platforms Model-based cybersecurity frameworks Integrated Modular Avionics (IMA) development Virtualization and middleware for safety-critical systems AI applications in aerospace Automated development and certification processes Recent publications highlight advancements in PLUG-AND-FLY avionics, security assessment using large language models, and domain-specific modeling tools. He leads a team of ~25 scientists at ILS, which operates modern labs, flight simulators, and research aircraft for testing.
Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers
Lonni Besançon is an Assistant Professor of Visualization at Linköping University, Sweden, serving as a 2023 ASAPBio Fellow, Scientific Node Coordinator for the Swedish National Visualization Infrastructure InfraVis, and co-editor-in-chief of the Journal of Visualization and Interaction (JoVI). Education includes: PhD in HCI from Université Paris Saclay (2014-2017) Master of Research in HCI from Université Paris Sud (2013-2014) Exchange studies at University of Hong Kong (2013-2014) Master of Engineering from Polytech Paris Sud (2011-2014) Classe Préparatoire at Polytech Paris Sud (2009-2011) Research focuses on developing novel interaction techniques for volumetric data visualization and enhancing statistical interpretation through innovative visualizations. His work emphasizes methodological improvements in research practices, including detecting questionable research practices and enhancing transparency, robustness, and reusability of scientific outputs. Additional interests include augmented reality interfaces, collaborative visualization systems, and open science advocacy. Publications demonstrate consistent focus on augmented reality interfaces, collaborative visualization, research transparency, and statistical interpretation methods. Recent works showcase increasing emphasis on open science practices and methodological critiques, with notable contributions to understanding peer review systems and pandemic-related research evaluation. Awards and honors: ASAPBio Fellow (2023) GRD IG-RV Honorable Mention (2018) Advising and supervision includes mentorship of graduate students Xiyao Wang, Marie Cheng, and Mickael Francisco Sereno. Teaching experience encompasses courses in Interactive Information Visualization, Algorithms, Graph Theory, and Computer Security at Université Paris Saclay and Polytech Paris Sud. Leads research initiatives at Linköping Visualization Center and collaborates internationally through InfraVis. Serves on program committees for ACM IHM and IEEE EuroVis, while contributing to numerous conferences including CHI, IEEE VIS, and ISMAR.
Won-Jae Yi is an Associate Teaching Professor of Electrical and Computer Engineering at the Illinois Institute of Technology (Illinois Tech), part of the Armour College of Engineering. He holds a B.S., M.S., and Ph.D. in Computer Engineering from Illinois Tech, completed in 2010, 2012, and 2017, respectively. In addition to his teaching role, Yi serves as the Undergraduate Laboratory and Computing Facilities Supervisor in the Department of Electrical and Computer Engineering. He has over 13 years of experience in research focusing on IoT, wireless sensor networks, wearable devices for health monitoring, FPGAs, cyber-physical systems, and edge computing. Education: B.S. in Computer Engineering (cum laude, 2010), Illinois Tech M.S. in Computer Engineering (2012), Illinois Tech Ph.D. in Computer Engineering (2017), Illinois Tech Research Interests: Yi’s work spans IoT-enabled systems, AI-driven smart devices, cybersecurity for embedded systems, and assistive technologies for visually impaired individuals. His research emphasizes practical applications such as smart home automation, wearable health monitoring, and real-time data fusion for IoT systems. He consistently integrates his expertise in hardware-software co-design, including FPGAs and SoCs, to create robust, low-power solutions. Teaching Contributions: Yi teaches undergraduate and graduate courses in Software Engineering, Internet of Things, Cybersecurity, and Artificial Intelligence. His teaching excellence was recognized with the 2023 Bauer Family Excellence in Undergraduate Teaching Award. Labs and Facilities: As Laboratory Supervisor, Yi manages computing facilities and oversees the development of experimental setups for student projects in IoT, embedded systems, and AI. His lab focuses on prototyping smart systems that bridge theoretical concepts with real-world applications.
Prof. Doris Dransch is a Professor at the Humboldt-Universität zu Berlin's Geographical Institute within the Faculty of Mathematics and Natural Sciences. She holds dual affiliations with the Helmholtz Centre Potsdam GFZ. Her research focuses on geovisualization, geo-analytic systems, and geoinformation management. She has been actively teaching since 1988 at multiple institutions including Humboldt University, TU Berlin, and international universities like Salzburg. PhD: Dr. rer. nat. (Natural Sciences) Her work bridges theoretical cartography with applied geospatial technologies. Key areas include: Dynamic visualization frameworks for geoscientific data Interactive cartographic systems Mobile geoinformation services Multimedia GIS applications Publications span foundational concepts like action-oriented cartography and innovative approaches to spatial data representation. She has authored/co-authored books such as Computer Animation in Cartography (1997) and contributed to major encyclopedic works on geomatics. Professional roles include: National Delegate for Belmont Forum e-Infrastructure (2013–present) Member of German Disaster Management Committee (DKKV) Advisory Board Former Head of DFG's Cartography Commission (1999–2010) Her work emphasizes interdisciplinary applications of geoinformation systems across urban planning, disaster management, and environmental sciences.
Dr. Monika Kaczmarek is a faculty member at the Department of Economic Informatics , part of the Faculty of Informatics and Electronic Economy at the Poznań University of Economics and Business . Her work focuses on semantic technologies, expert finding systems, and energy load forecasting. She has collaborated on research projects like Insemtives and ASG , and contributed to conferences such as ADBIS, eKnow, and ICEIS. Key research areas: Semantic Web, Database Systems, Information Retrieval Notable award: Best Paper Award at eKnow2011 Her publications span topics in semantic expert systems and real-time energy forecasting, with a focus on ontologies, scalable retrieval, and mobile applications. Collaborations include institutions like SAP AG and Technical University of Munich.
Daniel Amo Filvà is an Assistant Professor at the Engineering Department of La Salle Digital Engineering School, Ramon Llull University. His academic work bridges engineering, education, and data science, with a strong emphasis on learning analytics, educational technology, data privacy, and the ethical integration of artificial intelligence in education. His research interests focus on Learning Analytics , Educational Technology , Data Privacy , GDPR in Educational Contexts , Data Literacy , and AI in Education . He explores how digital tools can support personalized, inclusive, and ethically sound learning environments, especially in K-12 and higher education. The recent publications reflect a clear trajectory toward data-driven education, urban mobility innovation, and ethical data use. His work combines empirical research, case studies, and tool development, often using systematic reviews and project-based methodologies. Themes such as GDPR-aware educational design, ChatGPT integration, and robotics for inclusive education recur across his outputs. Scientific Projects: IADE : Integrating AI and Data Literacy in Education for personalization. DIVINTECH : Robotics for students with Autism Spectrum Disorder. Visibilizar el aprendizaje con ChatGPT : Enhancing education through AI tools. InnovAI : Digital transformation in Catalan SMEs. Acciona y Conecta : Sustainable urban mobility in Barcelona. He advises students such as B. Donate-Beby and S. Aguayo-Mauri, and collaborates with national and international researchers. His work is supported by research grants from institutions like the Department of Education and ACCIÓ. He leads multiple funded projects and contributes to interdisciplinary teams focused on technology transfer and innovation. He is affiliated with research groups working on digital engineering, human-environment interaction, and inclusive technology development. These teams foster collaboration across education, engineering, and public policy sectors to address real-world societal challenges.
Xiaoyu Sun is a Lecturer in the School of Computing at Australian National University (ANU), specializing in Software Engineering with a focus on Mobile Software Engineering and Intelligent Software Engineering. She holds a PhD from Monash University (2023) and a Bachelor's degree in Computer Science from Beijing Normal University (2016). Her research emphasizes applying static code analysis, dynamic testing, and NLP techniques to enhance software security and reliability, particularly in Android systems. Current projects include tools for detecting compatibility issues and privacy leaks in mobile apps. Her research interests span code generation frameworks (e.g., A^3-CodGen), security management in open-source projects, and AI-enhanced software development practices. Collaborations with tech giants like Bytedance and Alibaba highlight her industry engagement. Xiaoyu is Co-Investigator in the Tech4HSE project (2025-2027), developing AI-based monitoring systems for workspace safety. She has published in top venues including ICSE, ASE, and IEEE Transactions on Software Engineering. Her work bridges academia and industry, addressing challenges in mobile app security, code reuse efficiency, and developer toolchain innovation. Ongoing efforts focus on AI-driven solutions for software engineering tasks and fostering transparent privacy practices in open-source AI applications.
Shannon Roberts is an Associate Professor in the Mechanical and Industrial Engineering Department at the University of Massachusetts Amherst, leading research in Human Factors and Transportation Safety. Her work spans driver-vehicle interaction, automated systems, and equity-focused transportation design, with notable grants from NSF, Sloan Foundation, and UMass ADVANCE. Education: PhD and MS in Industrial Engineering (University of Wisconsin-Madison), BS in Mechanical Engineering (MIT) Research focuses on: Teen Driver Safety and Training Effectiveness Human Factors in Automated Vehicles Cybersecurity Response in Transportation Feedback Systems for Driver Performance Community-Centered Traffic Mitigation Recent publications analyze distraction patterns, automation impacts, and VR-based driver assessment. Her team has received multiple awards including the Bentzi Karsh Early Career Service Award and Stephanie Binder Young Professional Award . Students: Mentored 15+ undergraduate and graduate researchers including Meng Wang (PhD candidate), Jaji Pamarthi (PhD student), and alumni like Yalda Ebadi (New Relic) and Fangda Zhang (Ohio State University) Contact: scroberts@umass.edu | LinkedIn | Google Scholar
