Pablo Antolin Sanchez is a Researcher and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences (SB) and the Department of Mathematics . He leads research at the Numerical Modelling and Simulation chair and contributes to teaching in mathematics and computational methods. Research interests include Isogeometric Analysis Computational Mechanics Numerical Methods for Structural Dynamics High-Performance Computing Machine Learning in Multiscale Modeling Recent publications focus on advanced isogeometric methods for shell structures reduced-order modeling for lattice systems machine learning integration in mechanics geometric modeling and mesh intersection Teaching roles encompass courses such as Numerical Approximation of PDEs and Parallel & High-Performance Computing . He has advised PhD student Ondine Gabrielle Chanon at EPFL.
Domenico Gatti is an Associate Professor at Wayne State University School of Medicine, affiliated with the Department of Microbiology, Immunology and Biochemistry. He is also an investigator at the Cardiovascular Research Institute, NanoBioScience Institute, and Molecular Medicine Institute. His research spans computational biology, structural biology, and biomedical imaging, with a focus on enzyme mechanisms, protein coevolution, and artificial intelligence applications. M.D., Catholic University of Rome (1982) Ph.D., University of Bari (1987) Dr. Gatti develops computational tools like MSAVOLVE for protein coevolution analysis and neural networks (e.g., Res-CR-Net, CXR-Net, Cardio-Net) for biomedical image segmentation. His work includes QM/MM simulations, X-ray crystallography of metabolic enzymes, and Flux Balance Analysis of cell metabolism. Recent publications highlight AI-driven pandemic diagnostics and protein structure-function relationships. Current teaching includes graduate courses in machine learning, bioinformatics, and data science. He accepts new students in Biochemistry and Molecular Biology (BMB) for both MS and PhD programs. His laboratory is located in Scott Hall, Detroit, and collaborates on interdisciplinary projects integrating computational and experimental approaches.
Aleksander Pedersen is an Associate Professor at the Department of Computer Science and Computational Engineering , UiT The Arctic University of Norway. His research focuses on Computational Engineering , Geometric Modeling , and Sensor Technology , with applications in Augmented Reality in Healthcare , Additive Manufacturing , and Winter Road Assessment . Fields of Interest Computational Engineering Geometric Modeling Sensor Technology Augmented Reality in Healthcare Additive Manufacturing Simulation-based Education Pedersen's recent work includes 2024 studies on AR projections for medical simulations and optimization in additive manufacturing , while earlier studies (2020–2015) explore spline-based modeling , sensor fusion for winter roads , and subsurface visualization . He collaborates with researchers like Tanita Fossli Brustad, Rune Dalmo, and Børre Bang, and is affiliated with the Simuleringer research group at UiT. His contact email is aleksander.pedersen@uit.no .
Gabriele Moser is a Full Professor (Professore ordinario) at the University of Genoa's Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN), affiliated with the Polytechnic School. He serves as Coordinator of the Engineering for Natural Risk Management program, sits on the Departmental Board, and contributes to the School Council. His teaching portfolio spans telecommunications, signal processing, remote sensing, and machine learning courses for energy engineering and natural risk management programs. Professor Moser's research integrates remote sensing , machine learning , and signal processing to address environmental and infrastructural challenges. Key focus areas include: Multisensor data fusion for natural disaster monitoring Deep learning architectures for satellite/UAV image analysis Probabilistic graphical models for classification Lightning nowcasting using meteorological data Hyperspectral image unmixing and reconstruction His recent publications demonstrate a strong emphasis on AI-driven methodologies for remote sensing applications. Dominant themes include deep learning frameworks (CNNs, CRFs, diffusion models) for image segmentation, multiresolution fusion techniques, and heterogeneous change detection, frequently applied to disaster management scenarios like flooding and weather prediction.
Lisa Waananen Jones is a Clinical Assistant Professor in the Edward R. Murrow College of Communication at Washington State University, specializing in Multimedia Content Creation, Data Visualization, and Narrative Storytelling. She teaches courses such as Reporting Across Platforms and Professional Multimedia Content Creation , with a focus on making data and analytics accessible to students. Education: Undergraduate degrees in Communication (Journalism) and Political Science from Washington State University; Graduate studies at Columbia School of Journalism. Professional Experience: Former reporter for The Spokesman Review and teaching assistant at Columbia, followed by two years as an intern at The New York Times graphics desk where she earned multiple awards for collaborative projects. Research Focus: Visual communication and data-driven storytelling as tools for civic journalism, emphasizing simplification of complex topics for public understanding. Awards: Recognized for group projects at The New York Times graphics desk.
Claus-Eberhard Liedtke is a Professor of Digital Signal Processing at the Department of Electrical Engineering, Leibniz University Hannover. He has held academic positions at the University of Minnesota (Assistant Professor, 1973–1976) and lectured as a Visiting Professor at Zhejiang University, China (1985). His work focuses on knowledge-based image analysis, 3D scene modeling, and remote sensing applications in industrial automation. Education: Diplom (1968) and Dr.-Ing. (1972) in Electrical Engineering from TU Berlin. Research Interests include automated knowledge acquisition for image systems, semantic networks in remote sensing interpretation, and multisensor fusion for 3D geometry reconstruction. His publications span hierarchical pose estimation, GIS-data integration, and Bayesian reasoning in vision systems. Publications Trends highlight expertise in remote sensing (7/15), 3D modeling (5/15), knowledge-based systems (6/15), and sensor fusion (3/15). Key subfields include topographic dataset verification, multitemporal analysis, and lifelike 3D human modeling. Professional Affiliations include EURASIP, EUROGRAPHICS, GI, ITG, and DAGM. He chairs the ITG working group on Pattern Recognition and serves on the Signal Processing journal’s editorial board, with over 90 publications and 30 grants from DFG, EU, and industry.
Nelson Alexandre Fernandes Gonçalves is an Invited Assistant at the School of Education of the Polytechnic Institute of Viseu, Portugal, a position he has held since 2018. Previously, he served as an Assistant at the same institution from 2003 to 2018 and at the Polytechnic Institute of Leiria from 1998 to 2003, establishing a 25+ year career in Portuguese higher education focused on digital pedagogy and libre culture. His educational background includes: Bachelor's Degree in History (Educational Branch) from the University of Évora (1990-1995) Master's Degree in Educational Technology from the University of Minho (1999-2003), with thesis on virtual environments in primary education Specialized training in Blender and 3D modeling (2008-2017) from institutions including University of Burgos and InterSpace Gonçalves champions Free/Libre Open Source Software (FLOSS) in educational and cultural contexts, developing open workflows for 3D heritage reconstruction, digital animation, and web mapping. His research integrates libre culture with teacher training and K-12 education, emphasizing student creativity and critical digital literacy through cocreation methodologies that bridge humanities with computational practices. Analysis of his 15 most recent publications reveals a strategic pivot toward practical FOSS toolkits for cultural heritage documentation and community engagement. Key trends include democratization of 3D heritage workflows through photogrammetry guides, expansion into alternative geography mapping (e.g., "If Portugal was in Asia"), and development of social movement cartography. His output prioritizes accessibility, with 80% of 2023-2024 works as open-access web resources or multilingual manuals. Gonçalves has co-supervised over 50 undergraduate theses in Arts and Multimedia since 2000, with recent projects spanning virtual museums, 3D animation pipelines, and digital storytelling. His grant portfolio includes: European Projects: Researcher in 7+ Erasmus+/Comenius initiatives (2001-2025) including Digital Era (2019-2022) and WBEE (2010-2012) Local Innovation: Principal investigator for IPV Inova e Inclui (2022-2023) focusing on metaverse-based cocreation He founded OpenLab ESEV (2009-2018), Portugal's pioneering libre software laboratory in higher education, and NERDLab (2020-2022) for digital archaeology. These spaces foster community-driven development of open animation tools and 3D heritage models through cocreation workshops, engaging students, educators, and cultural institutions in libre culture practices.
Daniel Rodríguez Valero (Granada, 1973) is a full-time Lecturer at the University of Alicante, affiliated with the Department of Communication and Social Psychology under the College of Social Sciences. His academic career spans teaching and research in digital typography, graphic design, and corporate communication. Education: PhD in Fine Arts, University of Barcelona (2006) Second-Cycle Degree in Fine Arts, University of Barcelona (1996) His research focuses on digital typography , web conversion optimization , branding , and design for entrepreneurship . Recent publications analyze corporate naming strategies, hotel branding, and the intersection of typography with digital communication. Scientific Awards: ADI Medal in Industrial Design Accesit Ensayo Award (Fundación Everis) Juan de Yciar Award for Editorial Quality 2015 Clap Awards First Prize for Text Typography
Rémi Monasson is a Researcher at the Laboratoire de physique de l’ENS (LPENS) within the Department of Physics at École normale supérieure (ENS-PSL) in Paris, France. His work bridges Statistical Physics , Machine Learning , Biophysics , and Computational Biology . Active in interdisciplinary research, he contributes to understanding complex systems through theoretical modeling and data-driven approaches. University: École normale supérieure (ENS-PSL) Department: Department of Physics Research Interests: Statistical Physics, Machine Learning, Biophysics, Computational Biology, Neural Networks, Protein Structure Prediction Email: remi.monasson@phys.ens.fr Rémi Monasson's recent publications focus on leveraging Restricted Boltzmann Machines for molecular design, protein sequence modeling , and neural network dynamics . His work spans applications in evolutionary biology , immunology , and biological sequence analysis , often integrating statistical mechanics with machine learning methodologies.
Carlos González Morcillo is a Professor at the Higher School of Computer Science, University of Castilla-La Mancha (UCLM), where he has served since 2002 with over 3,000 teaching hours. He currently holds multiple leadership positions including Academic Director of the Vice-Rectorate of Digital University, Director of the G9 Shared Digital Campus (since 2025), and Director of the Center for Digital Technologies and Content (C:TED). As Creative Director of Furious Koalas, a UCLM spin-off, and member of the AIR Research Group, he bridges academic research with industry applications. European PhD in Computer Science (UCLM, 2007) Degree in Computer Science with Extraordinary End-of-Degree Award (2002) Technical Engineer in Computer Systems (2000) His research focuses on two primary areas: Artificial Intelligence and Computer Graphics, with significant contributions to educational technology, virtual reality applications, and AI integration in academic settings. With over 30 technology transfer projects and 9 as principal investigator (total funding exceeding €550,000), his work spans from generative AI applications in education to VR-based rehabilitation systems. His research demonstrates consistent evolution from technical game development toward transformative AI applications across multiple domains. His publication record shows a clear trajectory toward AI integration across disciplines, with recent work examining generative AI's role in academic communication, VR shopping environments, and medical rehabilitation. The interdisciplinary nature of his research connects computer science with education, healthcare, and consumer behavior, demonstrating practical applications of emerging technologies. Blender Foundation Certified Trainer (2009 - First Spaniard) ICEIS 2025 Best Student Paper Award (team recognition) Multiple plenary invitations at national and international conferences As an academic leader, he has directed 42 undergraduate theses, 10 master's theses, and 3 doctoral dissertations while establishing the Expert Course in Video Game Development (30 ECTS) with 8 successful editions. His research management includes 3 six-year research periods (2004-2021) and 1 six-year transfer period (2006-2017). Through Furious Koalas, he leads projects combining AI, mixed reality, and IoT for industrial applications, recently winning the MEISA technology challenge at ANCES Open Innovation 2025. His laboratory and team structure centers around the AIR Research Group and C:TED center, with Furious Koalas serving as the commercialization arm. Current projects focus on creating Spain's most important digital training metacampus through the G9 Shared Digital Campus initiative, which integrates capabilities from nine Spanish universities to expand educational offerings, particularly in artificial intelligence.
Prof. Nassir Navab is a full professor and director of the Chair for Computer Aided Medical Procedures & Augmented Reality at the Technical University of Munich (TUM) School of Computation, Information and Technology. He leads the Medical Augmented Reality summer school series and is a member of Academia Europaea. Education: Mathematics and Physics, Computer Engineering and Systems Control, PhD at INRIA/Paris XI Professional History: Postdoctoral research at MIT Media Lab; Distinguished Member of Technical Staff at Siemens Corporate Research (1993–2003); Full Professor at TUM since 2003 Leadership Roles: Board Member of MICCAI (2006–2012, 2014–2017); Editorial Board Member of IEEE TMI, MedIA, IJCV His research focuses on bridging medicine and computer science through Computer Vision , Medical Augmented Reality , and Robot-Guided Surgery . He pioneered digital surgical workflow modeling (2005) and robotic imaging (2012), with over 100 patents and 90,926 citations (h-index 129). Recent publications highlight AI-driven medical imaging trends, including ultrasound-CT registration , reinforcement learning for robotic sonography , and semantic scene graphs for operating room modeling . Collaborations span institutions like Johns Hopkins University and cover applications in ophthalmology , oncology , and orthopedic interventions . MICCAI Enduring Impact Award 2021 IEEE ISMAR Career Impact Award 2024 IEEE ISMAR 10 Years Lasting Impact Award 2015 Siemens Inventor of the Year 2001 16 Best Paper Awards at MICCAI He mentors teams advancing medical AI and surgical robotics , with labs like CAMP and NARVIS. His work also emphasizes medical education , including courses on Computer Science for Medical Students and Innovation in Healthcare .
Associate Professor Goylette Chami is an infectious disease epidemiologist affiliated with the Big Data Institute (BDI) within Oxford Population Health. She holds a PhD and MPhil from the University of Cambridge and previously served as a Junior Research Fellow in Medical Sciences at King’s College, Cambridge. Her research focuses on schistosomiasis, including Transmission dynamics Granular spatial evaluation Hepatosplenic multimorbidity Clinical and social consequences of co-infections Integration of disease management into primary healthcare using interdisciplinary methods from epidemiology, parasitology, network science, applied statistics, and machine learning. She collaborates with the Uganda Ministry of Health and contributes to global health policy through roles in WHO and African Union initiatives. In 2021, she received the Odile Bain Memorial Prize for her work in medical parasitology.
Matti Tapio Vaaja is an Assistant Professor at Aalto University's Department of Built Environment, specializing in digital photogrammetry and laser scanning technologies. He also holds an Associate Professorship at Shinshu University's Institute of Mountain Science (Japan) focused on laser scanning applications in forestry. His research spans close-range laser scanning, 3D point cloud processing, environmental change detection, and forest mapping. With over 100 publications and significant contributions to geoinformatics, he coordinates the 4D GEO-IT doctoral education network and supervises 10 doctoral theses in photogrammetry and remote sensing. Notable Achievements: National Open Science Prize (2019) Over 2,700 citations with H-index 24 Contributions to 3D urban modeling, biomass estimation, and smart city development Recent publications demonstrate cross-disciplinary integration of UAV photogrammetry, terrestrial laser scanning, and game engine visualization techniques for urban vegetation monitoring and watershed analysis. His work bridges technical advancements with practical applications in environmental science and urban planning.
František Grézl serves as an Assistant Professor within the Department of Computer Graphics and Multimedia at the Faculty of Information Technology, Brno University of Technology. His academic role involves teaching and research in visual computing, with office location L207 and contact details including email (grezl@fit.vut.cz) and phone (+420 54114 1280) confirming active institutional engagement. His research centers on computer graphics and multimedia, encompassing the technical synthesis, analysis, and manipulation of visual data. Specialized interests extend to image processing and computer vision, critical for applications in virtual reality, medical diagnostics, and AI-driven visual systems. These domains represent core pillars of modern digital content creation and interpretation. Dr. Grézl maintains verified academic profiles through identifiers: Researcher ID (KRR-1787-2024), ORCID (0000-0002-9887-3197), and Scopus Author ID (18041950000), enabling precise attribution of scholarly contributions across international databases.
Raşit ARSOY serves as a full-time Lecturer and Department Head in the Textile and Fashion Design Department at Kafkas University's Faculty of Fine Arts since 2019. Holding a PhD in Textile Engineering from Süleyman Demirel University, he bridges academic theory with industrial applications in textile manufacturing and fashion technology. Education: PhD in Textile Engineering, Süleyman Demirel University, Faculty of Engineering (2010-2015) Master's in Technology of Clothing Products, Azerbaijan University of Technology (2000-2002) Bachelor's in Garment Technology and Construction, Azerbaijan University of Technology (1996-2000) His research centers on optimizing garment production through textile engineering innovations, with emphasis on bias tape efficiency, fabric waste reduction, and bonding technologies. He develops specialized software solutions for ready-made clothing industry challenges while advancing textile machinery design and sustainable manufacturing practices. Analysis of his 32 publications reveals a consistent focus on practical industrial applications, particularly software-driven efficiency improvements in cutting rooms and bias tape management. His work increasingly integrates mechanical engineering principles with fashion technology to solve production bottlenecks. Scientific Awards: Ispartek 2012 Proje Pazarı - Dalga Enerji Sistemi (2012) ARSOY has secured three research projects as principal investigator for software development initiatives targeting bias tape optimization (2021-2023, 2024-2025) and co-investigated adhesive technology development (2012-2014). Though actively teaching 40+ courses including Technical Drawing and Garment Design, he has no thesis advisees. His collaborative network spans 8 researchers including Gabil Abdulla (16 joint works) and İbrahim Üçgül (8 publications), reflecting strong interdisciplinary partnerships in textile engineering.
