Miguel Sales Dias is affiliated with ISCTE - Instituto Universitário de Lisboa, specifically the Iscte Business School. His research spans multiple domains, including Machine Learning , Immersive Technologies , and Urban Mobility . His work focuses on: Developing AI-driven systems for energy consumption optimization in public buildings Creating co-design interfaces for housing customization Exploring mHealth applications for cardiac diagnostics Advancing virtual reality for education and visitor experiences Recent publications demonstrate expertise in smart city solutions , bioinformatics , and human-computer interaction . While specific awards or educational background weren't explicitly mentioned, his extensive publication record indicates significant contributions to interdisciplinary research.
Stephen Hoskins is Professor of Fine Print and Founder of the Centre for Fine Print Research (CFPR) at the University of the West of England, Bristol, based at the Bower Ashton Campus within the College of Arts, Creative Industries and Education. His academic career spans decades of pioneering work bridging traditional printmaking techniques with cutting-edge digital technologies. Hoskins' research philosophy centers on the physical artifact, primarily predicated in print, with a focus on the relationship between technology and making from a practitioner perspective. His primary research areas include the potential of 3D printing and related digital technologies for the arts, and the tactile surface of printed artifacts and its consequences for digital technology. He has developed a unique position of understanding digital and new media technologies while always relating them to physical output and creativity. His publications reveal a consistent focus on the intersection of historical printmaking techniques with contemporary digital fabrication methods, particularly exploring the tactile qualities of printed surfaces, ceramic applications of 3D printing, and the sustainability of art-making practices. The research trajectory shows increasing sophistication in merging 19th century photomechanical processes with 21st century digital technologies. Hoskins has maintained an exceptional record of industry collaboration, working with major partners including Hewlett Packard (for whom he held a sponsored Professorial Chair from 2004 to 2014), Renishaw PLC, Burleigh Pottery, Denby Pottery, Dycem, and Viridis3D. His approach emphasizes interdisciplinary understanding and practical application of research findings. As a practicing printmaker and author of three books including '3D Printing for Artists, Designers and Makers' (Bloomsbury), 'Water based Screenprinting,' and 'Inks,' plus over 40 peer-reviewed papers and three patents, Hoskins has established himself as a leading authority in the field of fine print research and digital fabrication for artists.
Catherine Laporte is a Professor at the Department of Electrical Engineering, École de Technologie Supérieure (ÉTS), Montreal, Canada. She leads research at the LATIS – Health Information Processing Laboratory, focusing on integrating medical images and physiological signals for healthcare innovation. Department: Electrical Engineering Research Lab: LATIS – Health Information Processing Laboratory Her research spans Medical Imaging , Computer Vision , and Speech Sciences , specializing in ultrasound applications for health technologies and intelligent systems. Key areas include: Medical image analysis and segmentation Ultrasound probe navigation and deformation correction 3D anatomical modeling (spine, tongue) Biomechanical studies of bone growth and tissue response Computer vision for healthcare applications Recent publications emphasize robust AI-driven ultrasound analysis for spinal deformities, tongue movement in speech therapy, and biomechanical modeling of bone growth. Her work combines deep learning , real-time segmentation , and multi-modal imaging (MRI, CT, 3D ultrasound). Students under her supervision have completed theses on topics like smart ultrasound systems , 3D vocal tract analysis , and biofeedback for language learners , often co-directed with experts in biomedical engineering and speech sciences. Laporte’s lab, LATIS, collaborates with institutions like the Center for Advanced Studies in Sleep Medicine (Montreal) and McGill University’s interdisciplinary programs, advancing health technologies and intelligent systems for clinical applications.
Maciej Barczewski serves as Professor and Head of the Department of Human Rights and Intellectual Property Law at the University of Gdańsk's Faculty of Law and Administration. He concurrently leads the Non-Stationary Doctoral Studies in Law (English-language program) and acts as an international expert for entities including the European Parliament, European Commission, World Intellectual Property Organization (WIPO), and Polish Association of Private Hospitals. Previously, he held positions as Adjunct Professor at Chicago-Kent College of Law (2007-2009) and Visiting Researcher at the University of Oxford (2010). His research centers on intellectual property law's intersection with digital technology, human rights, and public health. Key focus areas include copyright frameworks in digital environments, pharmaceutical patent flexibilities under TRIPS, treaty mechanisms like ACTA and TPP, and audiovisual performers' rights under the Beijing Treaty. His work critically examines tensions between proprietary rights and societal interests, particularly regarding medicine access and cultural participation. Barczewski's recent publications (2007-2013) reveal evolving scholarship from foundational treaty analyses toward contemporary challenges in digital rights management and health policy. His output demonstrates increasing emphasis on balancing intellectual property enforcement with human rights obligations, especially in international trade agreements affecting developing nations. Scientific recognition includes: Winner of ATRIP's International Research Competition in Intellectual Property Law (2007) As academic supervisor for doctoral candidates and frequent guest lecturer across global institutions (London, Chicago, Madrid, Singapore, etc.), he shapes emerging legal scholarship while contributing to editorial boards of major law journals. His advisory roles with EU bodies and WIPO directly influence international IP policy development.
Lavinia Stănică Justina is a university lecturer at the Faculty of Managerial Informatics, Romanian-American University (URA), with 18 years of teaching experience in software programming and e-learning domains. Holding a PhD in Cybernetics and Economic Statistics since 2011, she teaches courses in Romanian and English at both bachelor's and master's degree programs. Her research focuses on ICT's role in innovation, educational technologies, and data analysis for energy consumption, with over 30 publications and multiple coordinated research projects. Faculty: Managerial Informatics University: Romanian-American University Academic Rank: Lecturer Teaching Experience: 18 years PhD: Cybernetics and Economic Statistics (2011) Her research interests include: e-Learning systems and technology integration Artificial Intelligence applications in education ICT's impact on innovation performance Mathematical content modeling Energy consumption data analysis Internet of Things implementations Fractal techniques in imaging Recent publications highlight trends in: Comparative innovation-ICT readiness analysis AI education accessibility Smart energy systems Competitive programming metrics Neural network energy forecasting IoT cloud solutions Modular educational software As Erasmus coordinator since 2013 and Institutional Erasmus Coordinator since 2020, she actively promotes internationalization efforts and academic collaboration with partner universities across Europe.
Goran Glavaš is a Professor at the University of Würzburg's Faculty of Mathematics & Computer Science, holding the Chair for Natural Language Processing (Computer Science XII) and affiliated with the Center for Artificial Intelligence and Data Science (CAIDAS). His research focuses on computational semantics, multilingual/low-resource representation learning, and democratizing language technologies through fairness and sustainability. Former Assistant Professor at University of Mannheim (2017-2021) Interim Associate Professor at LMU Munich (2021-2022) Doctorate in 2014 at University of Zagreb under Jan Šnajder Recent research trends emphasize cross-lingual learning, multilingual knowledge integration, and ethical AI frameworks. His group contributes to robust multilingual models, vision-language systems, and sustainable NLP applications in social sciences. Outstanding Paper Award at ACL 2024 (IRCoder) Outstanding Paper Award at EACL 2024 (Kardeş-NLU) Extensive publications in EMNLP, ACL, NAACL, EACL, and TACL Advises a team of researchers at the University of Würzburg's NLP Chair, including Benedikt Ebing, Gregor Geigle, and Fabian David Schmidt. Leads the WüNLP group within CAIDAS, focusing on democratizing language technologies.
Dr. Nicole Lesley Gardner is a Registered Architect (NSW ARB 7921) and Program Director of Computational Design at the School of Built Environment, UNSW Sydney . Her interdisciplinary research examines digital transformation in architecture, urban technology, and the ethics of smart cities. A Chief Investigator for the $9M Australian Research Council (ARC) Industrial Transformation Training Centre , she has led multiple Commonwealth-funded grants and co-authored over 40 peer-reviewed publications. Education: PhD in Architecture (UTS 2018), Bachelor of Architecture (Adelaide 2000), Bachelor of Design Studies (Adelaide 1998) Leadership: Chair of CAADRIA 2024 , co-editor of CAADRIA Post-Carbon proceedings (2022) Research Interests span computational design, smart city paradigms, and digital transformation in the AEC sector. Her work integrates ethical frameworks, gender dynamics, and material innovation in urban technology, with a focus on practice-based design research and industry collaboration. Scientific Awards : ADA Faculty Research Fellowship (2021-2022)
Scott Grissom is a Professor at Grand Valley State University’s College of Engineering and Computing , specifically within the Computer Science and Information Systems Department . His work focuses on transforming traditional lecture-based computer science education into interactive, student-centered environments through pedagogies like peer instruction , active learning , and collaborative learning . He has led multi-institutional studies on instructional practices and contributed to national discussions on evidence-based teaching methods in CS classrooms. Dr. Grissom’s research interests revolve around enhancing student engagement via algorithm visualization, digital libraries, and interactive pedagogical tools . His studies on peer instruction (e.g., “A Multi-institutional Study...”) and error analysis in recursive algorithms have significantly influenced CS2 curriculum design. He also explores the integration of mobile application development (e.g., iPhone curriculum adaptations) into traditional CS topics. His publications span journals like ACM Transactions on Computing Education and SIGCSE proceedings , with a focus on student-centered learning , instructional practices , and NSF grant opportunities . He has conducted workshops on funding competitive NSF proposals , emphasizing systematic strategies for converting ideas into successful grants. His collaborations include renowned figures like Renée McCauley , Laurie Murphy , and Leo Porter .
Jiajia Sun is an Associate Professor of Geophysics in the Department of Earth and Atmospheric Sciences at the University of Houston. Her research focuses on advancing subsurface imaging, uncertainty quantification, and mineral exploration through interdisciplinary approaches combining geophysics, machine learning, and computer vision. Education : PhD in Geophysics (2015, Colorado School of Mines); BS in Geophysics (2008, China University of Geosciences, Wuhan). Research Interests : Jiajia specializes in deep learning for geophysical inversion, multi-physics data integration, and probabilistic geological modeling. Her work leverages computational resources like GPUs and clusters to solve inverse problems and tackle magnetic remanence challenges. Recent Publications : Her research includes applying Bayesian frameworks, deep generative models, and joint inversion algorithms to airborne geophysics for critical mineral mapping and hydrogen reservoir detection. She emphasizes open-source tools like SimPEG for reproducibility. Awards : J. Clarence Karcher Award (SEG) Advising & Collaborations : She mentors PhD students in geophysics and collaborates with institutions like Amazon’s Generative AI Innovation Center, Stanford University, and University College Dublin. Her team also tests drones and magnetometers at the UH Coastal Center.
Mark Edward Borsuk is the James L. and Elizabeth M. Vincent Professor in the Department of Civil and Environmental Engineering at Duke University’s Pratt School of Engineering. He leads the Borsuk Lab, which specializes in interdisciplinary modeling of coupled social, environmental, and technical systems. His research spans climate change, ecosystem services, water resources, land use, and environmental health, using advanced methods such as Bayesian networks, agent-based modeling, game theory, and risk analysis. He co-directs the Center on Risk within Duke’s Science & Society Initiative and is an Associate of the Duke Initiative for Science & Society. B.S.E. in Civil Engineering and Operations Research, Princeton University, 1995 M.S. in Statistics and Decision Sciences, Duke University, 2001 Ph.D. in Environmental Science and Policy, Duke University, 2001 Postdoctoral Training, EAWAG (Swiss Federal Institute for Aquatic Science and Technology), Systems Analysis, Integrated Assessment, and Modelling (SIAM) Dr. Borsuk’s research focuses on integrating scientific data across disciplines to support decision-making under uncertainty. He is a leading expert in Bayesian network modeling applied to environmental and human health regulation. His work combines risk analysis, game theory, and agent-based modeling to assess climate change and environmental policy. He has developed novel frameworks for valuing ecosystem services, modeling landowner behavior, and assessing geoengineering risks. His lab emphasizes interdisciplinary collaboration, stakeholder engagement, and quantitative decision support. His recent publications reflect a strong trend toward integrating machine learning, causal inference, and spatial modeling into environmental assessment. Topics include solar radiation modification governance, land-use policy forecasting, invasive species impacts, and urban green space valuation. His work increasingly leverages big data (e.g., Zillow, remote sensing) and probabilistic programming to enhance model transparency and predictive accuracy. Chauncey Starr Distinguished Young Risk Analyst Award, Society for Risk Analysis, 2013 Early Career Research Excellence Award, International Environmental Modelling and Software Society, 2008 Earl I. Brown Outstanding Civil Engineering Faculty Award, Duke University, 2018 Best Paper, Integrated Environmental Assessment and Management Journal, 2012 Excellence in Mentoring Award, Dartmouth College Postdoctoral Association, 2010 Best Paper in Integrated Modelling, Environmental Modelling & Software Journal, 2008 Dr. Borsuk has been a principal investigator on grants from NSF, EPA, NIH, NIEHS, and USFS. He mentors a diverse group of graduate students and postdoctoral fellows, including Kim Bourne, Jon Holt, Chris Krapu, and Ryan Calder. He teaches courses such as Risk and Resilience Engineering, Engineering Economics, and Independent Study in Civil and Environmental Engineering. He is actively involved in advising and curriculum development through the Bass Connections Energy & Environment Research Team. He leads the Borsuk Lab, a dynamic research group focused on systems, risk, and decision analysis. The lab is a key contributor to the Bridge Collaborative—a partnership between Duke, The Nature Conservancy, IFPRI, and PATH—where it develops quantitative models to support cross-sectoral decision-making. The lab also investigates landowner decision-making in New England forests and the governance of solar geoengineering, using agent-based and deliberative modeling approaches.
Associate Professor Joe Gattas is affiliated with the University of Queensland's School of Civil Engineering , where he leads the Folded Structures research group. His work bridges origami-inspired engineering , computational building design , and advanced manufacturing , with a focus on lightweight/modular structures and timber engineering . Education: BEng (2009) and PhD (2013) from the University of Queensland and University of Oxford, respectively. Research interests emphasize digital fabrication , hybrid materials , and structural innovation . His recent publications highlight trends in timber-CFRP composites , self-shaping structures , and value chain optimization for sustainable timber use. Scientific awards include the prestigious John Monash Scholarship . He actively supervises PhD and Master’s students in projects related to timber composites , structural optimization , and low-cost housing . Joe contributes to ARC Research Hub initiatives , co-leading Manufacturing Innovation and Value Chain Innovation nodes, and develops open-source tools like TimberTracker to visualize timber supply-demand dynamics.
Jane E. Huggins is a Research Professor in the Department of Biomedical Engineering and Physical Medicine and Rehabilitation at the University of Michigan. Her work focuses on developing EEG-based brain-computer interfaces (BCIs) into clinical tools for individuals with physical impairments, addressing challenges like signal processing, task design, and in-home technical support. University of Michigan Appointments: Biomedical Engineering (2024–Present), Physical Medicine and Rehabilitation (2024–Present) Research Interests: Jane’s research bridges BCIs with augmentative and alternative communication (AAC) systems, emphasizing accessibility, commercial readiness, and integration with established clinical infrastructure. Her projects explore event-related potentials (P300), neural prostheses, and user-centered design for equitable healthcare technologies. Grant Funding Highlights: She has secured major grants from NIH, NSF, General Motors, and Cerebral Palsy Alliance Research Foundation to advance BCI applications in accessibility, autonomous vehicles, and lifelong assistive technology deployment. Professional Contributions: Jane actively presents at international BCI conferences and collaborates with the UMDBI Lab on clinical trials and software innovations for BCI systems.
Sammie Katt serves as a Postdoctoral Researcher in the Department of Computer Science at Aalto University's School of Science, specializing in Bayesian Reinforcement Learning for robotics and decision-making under uncertainty. Their work addresses critical challenges in partially observable environments through algorithmic innovation and practical implementations. Dr. Katt's research centers on Bayesian approaches to reinforcement learning, with deep expertise in Partially Observable Markov Decision Processes (POMDPs). They develop scalable algorithms for uncertainty quantification, robot navigation, and real-time decision-making, bridging theoretical advances with robotic applications. Key contributions include BADDr for adaptive POMDP solutions and gym-gridverse for simulation benchmarking. Analysis of Katt's 14 publications (2012-2023) reveals three dominant trends: (1) Bayesian methods for efficient POMDP solving using Monte Carlo tree search and deep learning, (2) Robotics applications in motion prediction, target search, and scene reconstruction, and (3) Framework development for reproducible RL research. Their work consistently emphasizes computational efficiency and real-world applicability in uncertain environments.
Julia Hertel is a Researcher at the Department of Informatics, University of Hamburg, specializing in Human-Computer Interaction (HCI) and Augmented Reality (AR) systems for industrial applications. Her work bridges AR technology with practical solutions in maritime navigation, hydrographic surveys, and healthcare virtual agents. Bachelor's (2016) and Master's (2020) in Computer Science and HCI from University of Hamburg Her research interests focus on Augmented Reality for industrial contexts , including perception challenges in AR environments, interaction design for immersive systems, and AR tool development for gas station maintenance and maritime navigation. She has contributed to projects like WizARd (2020-2023) and HafenplanZen (since 2022). Julia's publications span AR perception studies, no-code AR authoring tools, and neural rendering for VR. Key collaborations include work on medical virtual agents and geospatial data visualization. She is actively involved in the XR Lab at the University of Hamburg, exploring spatial user interaction and industrial AR applications.
Stephan Leible is a Researcher at the Department of Computer Science , University of Hamburg (MIN Faculty). Holding both M.Eng. in Business Engineering and an MBA, he focuses on employee-driven digital innovation, intrapreneurship, and leveraging generative AI for organizational transformation. Research Interests : Employee-driven Innovation, Intrapreneurship, Generative AI Governance, Design & Data Thinking, IT Innovation Management Contact : stephan.leible@uni-hamburg.de | Room 117C, Vogt-Kölln-Straße 30, Hamburg His work bridges citizen development with public sector innovation, emphasizing value co-creation, real-time analytics, and ethical AI implementation. Current studies explore: Generative AI adoption patterns and limitations Interpretable machine learning for urban mobility Participatory frameworks for smart city futures Methodologies for continuous improvement in conversational agents
