جست‌وجوی استاد و پژوهشگر

Scott Englandمشاهده پروفایل

استاد

• Planetary Atmospheres
• Space Environment
• Atmospheric Tides
• +۳ مورد دیگر

Scott England is a Professor in the Department of Aerospace and Ocean Engineering at the College of Engineering, Virginia Polytechnic Institute and State University. He serves as the Project Scientist for NASA’s Ionospheric Connection Explorer (ICON), Co-Investigator for Global-scale Observations of the Limb and Disk (GOLD), and Participating Scientist for Mars Atmosphere and Volatile Evolution (MAVEN). Education PhD, University of Leicester (UK), 2005 MPhys First Class Honors, University of Leicester (UK), 2001 England’s research focuses on planetary atmosphere-space environment interactions, particularly gravity waves, atmospheric tides, and ionosphere-thermosphere coupling on Earth and Mars. His work integrates NASA mission data (ICON, GOLD, MAVEN) with numerical modeling to study thermal dynamics, wind systems, and solar flare impacts. Recent publications highlight his expertise in thermospheric gravity wave science, planetary wave-induced ionospheric variability, and Mars atmosphere studies using EMUS and IUVS instruments. Articles span topics like Seasonal variability of DE3/DE2 tides , Transient Martian hot oxygen corona , and Shock-induced plasma dynamics . Scientific Honors 2020 Dean's Award for Teaching Excellence 2016 RHG Exceptional Achievement for Mars Science As a professional leader, England served as Thermospheric Lead for the 2019 Planetary Mission Concept Studies Program and on the National Academy of Sciences Decadal Survey panel. He manages Virginia Tech’s participation in the Virginia Space Grant Consortium and has contributed to high-performance computing committees.

• Lightning Physics
• Atmospheric Electricity
• Electromagnetic Compatibility
• +۳ مورد دیگر

Vladimir A. Rakov is a distinguished professor and co-director of the International Center for Lightning Research and Testing (ICLRT) at the University of Florida’s Department of Electrical and Computer Engineering. His primary research focuses on lightning physics, atmospheric electricity, and lightning protection. He holds affiliations with prestigious organizations such as the American Geophysical Union (AGU), IEEE, and the Society of Automotive Engineers (SAE). Education: Rakov earned a PhD (1983) and MS (1977) in Electrical Engineering from Tomsk Polytechnic University. His professional memberships include roles in AGU, IEEE, and the International Commission on Atmospheric Electricity (ICAE). He has chaired committees for international lightning conferences and contributed to standards development for lightning protection systems. Research: Rakov’s work spans lightning initiation, return stroke modeling, and electromagnetic effects. He has authored over 200 peer-reviewed articles, including seminal books like Lightning: Physics and Effects . His team conducts field experiments using rocket-triggered lightning and advanced instrumentation. Notable achievements include studies on lightning-induced voltages, X-ray emissions, and safety standards for aircraft and infrastructure. Awards: Rakov has received numerous accolades, including the IEEE Richard R. Stoddart Award (2019) and Honorary Doctorate from the Russian Academy of Sciences (2015). His research impacts global lightning protection practices and aerospace safety.

Gabriele de Setaمشاهده پروفایل

پژوهشگر

• Digital ethnography
• Chinese internet culture
• Algorithmic folklore
• +۴ مورد دیگر

Gabriele de Seta is a researcher at the University of Bergen's Department of Linguistic, Literary and Aesthetic Studies, leading the ALGOFOLK project funded by the Trond Mohn Foundation (2024-2028). A sociologist by training with a PhD from Hong Kong Polytechnic University, he previously served as postdoctoral fellow at Academia Sinica (Taipei) and on the ERC-funded Machine Vision in Everyday Life project. Department of Ethnology, Academia Sinica (postdoctoral fellow) Department of Linguistic, Literary and Aesthetic Studies, University of Bergen (researcher) His research focuses on algorithmic folklore, synthetic ethnography, and Chinese digital culture. He examines how digital technologies and creative practices mutually shape each other, particularly in China's sociotechnical landscape. Key areas include platform governance, machine vision, algorithmic accountability, and digital vernaculars. Recent publications analyze TikTok/Douyin's infrastructural role, deepfakes, QR codes as globalized gateways, and Chinese internet vulgarity. His work combines theoretical frameworks from STS, media studies, and digital anthropology with fieldwork on Chinese digital practices. Trond Mohn Foundation Starting Grant ERC-funded research As educator, he designed the Machine Vision module for Bergen's Critical Approaches to Technology and Society course and taught Key Theories in Digital Culture. He supervises multiple MA/PhD students including co-supervision of Hanna Lauvli. Through his blog and podcast, he promotes public engagement with digital research.

Hossein Alizadeh Otorabadمشاهده پروفایل

پژوهشگر ارشد

• Railway Engineering
• Finite Element Analysis
• Elasto-plastic Analysis
• +۵ مورد دیگر

Dr. Hossein Alizadeh Otorabad is a Research Fellow at the Department of Engineering, School of Computing and Engineering, University of Huddersfield. He joined the Institute of Railway Research (IRR) in 2019 and was promoted to Research Fellow in 2022. His work focuses on finite element analysis, railway engineering, and thermal dynamics in wheel-rail interactions. BSc in Solid Mechanics, Tehran Polytechnic University MSc in Applied Mechanics, Khajeh Nasir Toosi University (2002) PhD in Railway Engineering (2018), focusing on wheel-flat fatigue crack initiation His research expertise spans Railway Engineering , Finite Element Analysis , and Thermal Modeling , with a particular focus on wheel-flat dynamics and fatigue analysis. He has contributed to studies on dynamic load effects in railway crossings, temperature evolution during wheel flat formation, and elasto-plastic behavior in railway wheels. Recent publications show a strong emphasis on Railway Systems (2018-2024), covering topics like: Dynamic load prediction in crossings Thermal analysis of wheel-rail sliding Contact mechanics in flatted wheels Fatigue life evaluation under transient loads His work aligns with UN Sustainable Development Goals for sustainable infrastructure and transportation systems. Scientific Recognition: h-index of 31 (Scopus metrics) 16+ citations for elasto-plastic wheel analysis Contributions to key railway engineering conferences At IRR, he conducts FE analysis, laboratory/field testing of railway assets, hammer testing, and signal processing. He previously received funding from Iran's Ministry of Science for sabbatical research at TU Delft's Material Science and Engineering department.

Darrian Carrollمشاهده پروفایل

استادیار

• Rhetoric
• Race Studies
• Political Communication
• +۲ مورد دیگر

Darrian Carroll is an Assistant Professor in Communication Studies at California Polytechnic State University's College of Liberal Arts. His research centers on race, rhetoric, and world-making, with a focus on Black political discourse and social justice. Publications analyze historical movements (e.g., Black Nationalism), contemporary activism, and intersectional justice. Recent work critiques transportation equity, Black feminist leadership, and protest rhetoric. Carroll employs discourse analysis to examine power dynamics in texts ranging from book reviews to social media campaigns. No awards or students are documented.

Kathy Fontaineمشاهده پروفایل

مدرس ارشد

• Data Policy
• Ethics in Data Science
• International Data Sharing
• +۳ مورد دیگر

Kathy Fontaine serves as Senior Lecturer in Information Technology and Web Science at Rensselaer Polytechnic Institute and Program Manager for the RPI-IBM AI Research Collaboration. She joined RPI in 2014 after 25 years at NASA Goddard Space Flight Center where she developed international data access policies through CEOS WGISS, GEO, and USGEO. Her educational background includes: B.S. in Physics with Astrophysics Option from New Mexico Institute of Mining and Technology (1984) M.A. in Science, Technology and Public Policy from The George Washington University (2002) Ph.D. in Public Policy and Public Administration from Walden University (2013) Dr. Fontaine's research integrates data science policy with ethical frameworks, focusing on international data sharing cultures and volunteer organization dynamics. She develops courses like Big Data Policy and Ethical Informatics that address data scientists' societal responsibilities. Her work examines how policy implementations affect global earth observation systems and research data ecosystems, with particular attention to cross-cultural collaboration challenges in scientific consortia. Analysis of her publications reveals strong interdisciplinary connections between earth sciences and computer science, with emerging trends in data dexterity training, knowledge graph applications for social equity, and mineral inventory data legacies. Her research increasingly bridges technical data infrastructure with ethical considerations in data sharing. Dr. Fontaine actively contributes to scientific communities through the Earth Science Information Partners (ESIP), where she serves on GEO's Programme Board, and maintains affiliations with AGU, ACM Web Science, IEEE GRSS, and IEEE SSIT. Her current leadership in the RPI-IBM AI Research Collaboration extends her mission to develop responsible AI frameworks.

• Death Cognition
• Thanatology
• Advance Care Planning
• +۲ مورد دیگر

Sarah Parker Ward is a Lecturer at the Lally School of Management, Rensselaer Polytechnic Institute. She holds a Ph.D. in Emerging Media Studies from Boston University and specializes in thanatological research focusing on motivational mechanisms for advance care planning and death meditation practices within public health frameworks. Her research integrates practical training from the International End of Life Doula Association and UMass Amherst's Center for Mindfulness. With over a decade of digital marketing experience, she has consulted for major brands including Johnson & Johnson and Stonyfield Organic. Education Ph.D. Emerging Media Studies, Boston University (2022) M.A. Communication, Marist College (2012) B.S. Business Administration, SUNY Potsdam (2009) Awards Presidential Scholar Magna Cum Laude (B.S. & M.A.)

Zoran Kalinicمشاهده پروفایل

استادیار

• Information Systems
• Electronic Business
• Mobile Commerce
• +۴ مورد دیگر

Zoran Kalinic serves as an Assistant Professor at the Faculty of Economics, University of Kragujevac, where he teaches Electronic Business since October 2012. Previously, he worked at the Faculty of Mechanical Engineering in Kragujevac from 1996 to 2005, and joined the Faculty of Economics in February 2005 as an assistant in Information Systems, later teaching Information Technology and Electronic Business from 2009 onward. Doctorate (2012): Faculty of Engineering, University of Kragujevac, specializing in information systems development and mobile communications Postgraduate studies: Faculty of Mechanical Engineering in Kragujevac (completed with average grade of 10) Bachelor's degree: Faculty of Mechanical Engineering in Kragujevac (1996, average grade 9.43) Professor Kalinic's research focuses on digital transformation and its economic implications, with particular expertise in mobile commerce, electronic business systems, digital payment technologies, and consumer behavior in online environments. His work frequently employs advanced analytical methods including artificial neural networks, structural equation modeling, and hybrid analytical approaches to investigate technology adoption patterns and digital marketplace dynamics. He has conducted extensive research on Serbian digital markets, including studies on mobile payment systems, e-commerce development barriers, and real estate price prediction using AI techniques. His publication record demonstrates a clear progression from foundational technology acceptance research toward more complex analyses of digital ecosystems, with recent work examining influencer marketing effects on TikTok, biometric payment systems, and gig economy measurement in Serbia. The integration of artificial intelligence methodologies with traditional consumer behavior theories represents a distinctive feature of his scholarly approach. Professor Kalinic maintains active international academic engagement through short study visits to institutions including the University of Udine, Vienna University of Economics, University of Maribor, Krakow University of Economics, Coventry University, Polytechnic of Turin, and Comenius University in Bratislava. He spent six weeks at the University of Maribor in 2007 through a Tempus IMG grant and served as a visiting lecturer at the Krakow University of Economics in 2012. Author/co-author of over 60 papers in international and domestic journals and conferences Participant in multiple scientific research and professional projects Recipient of academic awards during studies from University, Faculty, Ministry of Science and Technology of Serbia, Embassy of Norway, WUS-Austria, Zastava-Yugo Automobiles, and Kragujevac City Assembly His professional development includes a month-long visit to the Faculty of Informatics at the University of the Basque Country in San Sebastian (2004) and ongoing collaboration with regional and European academic institutions. Professor Kalinic's research bridges theoretical frameworks with practical applications in the Serbian and Western Balkan digital economy context.

Janick Edingerمشاهده پروفایل

استاد

• Distributed Operating Systems
• Edge Computing
• Computation Offloading
• +۷ مورد دیگر

Prof. Dr. Janick Edinger is a Professor of Distributed Operating Systems at the Department of Informatics, Faculty of Mathematics, Informatics and Natural Sciences, University of Hamburg, Germany. He leads a research group focused on distributed, context-aware, and adaptive computing systems, with a strong emphasis on edge computing, computation offloading, and assistive technologies. Education: PhD in Computer Science, University of Mannheim Studies at National Taiwan University Studies at University of Alberta, Canada Research stays at University of British Columbia, Hong Kong Polytechnic University, and Georgia State University, USA His research explores how edge computing and computation offloading can enable efficient, privacy-preserving processing of sensor and video data close to their sources, particularly in dynamic environments. He investigates the integration of autonomous and heterogeneous systems—such as drone fleets and mobile devices—into scalable middleware platforms for real-time monitoring and decision-making in logistics and industrial operations. His work also emphasizes societal impact, contributing to accessible routing, adaptive interfaces, and crowd-sourced mapping. The recent publications reflect a strong trend in edge computing, federated learning, privacy-preserving analytics, and assistive technologies. Topics include WebAssembly-based offloading, emotion prediction via eye tracking, real-time traffic detection, and predictive maintenance in Industry 4.0, showcasing a blend of foundational systems research and applied human-centered computing. Scientific Awards: PerCom 2021 Mark Weiser Best Paper Award Best Paper Award at IEEE PerCom 2021 for 'Voltaire: Precise Energy-Aware Code Offloading Decisions with Machine Learning' Prof. Edinger actively advises students and leads research projects involving grants and collaborations. His team includes PhD candidates and researchers working on middleware, edge systems, and context-aware applications. He has served on conference program committees, such as shadow PC member for EuroSys 2021, and publishes in top venues including IPDPS, PerCom, CHIIR, and COMPSAC. Labs and Teams: He leads the Distributed Operating Systems research group at the University of Hamburg, where he mentors students and collaborates on projects involving edge computing, IoT, and adaptive systems.

Qihao Wengمشاهده پروفایل

استاد

• Remote Sensing
• GIScience
• Urban Climatology
• +۵ مورد دیگر

Professor Qihao Weng is Chair Professor of Geomatics and Artificial Intelligence at The Hong Kong Polytechnic University, where he leads the Research Institute for Land and Space. A globally recognized scholar, he bridges geography, landscape ecology, and environmental science through innovative geospatial analytics, GeoAI, and big data methodologies. His work focuses on urban climatology, sustainability science, and human-environment interactions, with over 279 publications and 14 books. PhD, The University of Georgia MA, The University of Arizona MS, South China Normal University Professor Weng's research explores remote sensing applications for urban environmental challenges, including thermal comfort, heat islands, and land-use changes. He pioneered global-scale urban observation via the Group on Earth Observation (GEO) initiative and developed frameworks integrating geospatial technology with climate resilience strategies. Recent publications highlight advancements in GeoAI for urban thermal stress assessment, road extraction algorithms, and multi-temporal data fusion techniques. His work spans interdisciplinary domains, connecting remote sensing, urban science, and sustainability metrics across diverse climate zones. NASA Senior Fellowship (2008) Taylor & Francis Lifetime Achievements Award (2019) AAG Wilbanks Prize (2024) Lifetime Achievement in Remote Sensing Award (2024) Academia Europaea Foreign Member (2021) As Editor-in-Chief of the ISPRS Journal, Professor Weng has advanced global remote sensing discourse. His research has been supported by NSF, NASA, USAID, Microsoft, and Hong Kong Research Grant Council. He has delivered over 130 invited talks and established visiting professorships in Japan, France, and China.

• Structural Control and Health Monitoring
• Continuum Mechanics and Mechanics of Materials
• Structural Mechanics
• +۳ مورد دیگر

Hans Irschik is a Full Professor and Head of the Institute of Technical Mechanics at Johannes Kepler University of Linz, Austria. He has held key academic roles, including Vice-Rector for Research (1995-2001) and Chair of the Senate (2009-2013) at JKU, and serves as Editor-in-Chief of Acta Mechanica . His work bridges structural mechanics, mechatronics, and control systems. Education: Studied Civil Engineering at Vienna University of Technology, earned Doctor of Technical Sciences (1981) and Habilitation in Mechanics (1986). Research interests include structural control, continuum mechanics, and smart materials. His contributions span theoretical developments and applied control strategies for aging structures. Recent articles focus on Lagrangian formulations, piezoelectric sensors, and beam theories, reflecting his expertise in mechanics and structural health monitoring. Scientific Awards & Memberships: Full Member, Austrian Academy of Sciences (since 2011) Honorary Doctorate, St. Petersburg Polytechnical University (2009) President, European Association of Structural Control and Health Monitoring (2008-2012) Fellow, Japanese Society for the Promotion of Science (2006) City of Vienna Award (1988) Kardinal Innitzer-Award (1988) Grants & Projects: Led Austrian Science Fund (FWF) research since 1993. Key researcher in the K2-Austrian Center of Competence in Mechatronics (since 2001). Participated in EUROMECH committees and European Science Foundation programs.

• Algorithmic and data justice
• Internet studies
• Technology and society
• +۹ مورد دیگر

Juan Carlos De Martin is a Full Professor of Computer Engineering at the Polytechnic of Turin, where he is also co-founder and co-director of the Nexa Center for Internet & Society. He holds a Faculty Associate position at the Berkman Klein Center for Internet & Society at Harvard University and is a member of the Scientific Council of the Treccani Institute and the Steering Committee of Biennale Democracy. He previously served as Vice Rector for Culture and Communication at the Polytechnic of Turin (2018–2023) and as president of its libraries (2007–2015). His research centers on the societal implications of digital technologies, with a strong emphasis on algorithmic and data justice, digital power, and the democratic challenges posed by modern technology. He advocates for a more democratic and ethical technological future, particularly critiquing the dominance of smartphones and promoting digital sovereignty. His recent publications reflect a clear trend toward ethical AI, data protection, and the social impact of algorithms. He has published on gender bias in language models, GDPR compliance tools, and non-discrimination audits in software, demonstrating a sustained commitment to fairness, transparency, and accountability in digital systems. Best Student Paper Award IEEE ISCC 2011 Best Student Paper Award IEEE ICME 2005 Fellow at Harvard University (Berkman Klein Center) (2011–2015, 2016–2024) Faculty Associate at Collège d'études mondos, France (2016) De Martin has advised PhD students like Marco Rondina on Responsible AI and has led numerous EU-funded research projects such as COMMUNIA and DECODE. He has also played a key role in public policy, serving on ministerial working groups on AI and online hate. He is the founder of the Biennale Tecnologia and has authored influential books on the future of universities and technology, all published under Creative Commons licenses. He leads the Nexa Center for Internet & Society, a multidisciplinary research group focused on the legal, economic, and social aspects of the Internet. The center fosters collaboration between computer scientists, legal scholars, and social scientists to address pressing digital challenges.

Claudia Patricia Ayala Martinezمشاهده پروفایل

مدرس

• Empirical Software Engineering
• Off-The-Shelf Adoption
• Requirements Engineering
• +۴ مورد دیگر

Claudia Patricia Ayala Martinez serves as a Lecturer in the Department of Service and Information Systems Engineering at the Barcelona School of Informatics (FIB), Polytechnic University of Catalonia (UPC). She is actively involved in research through the GESSI - Group of Software and Service Engineering and the UPC inSSIDE - integrated Software, Services, Information and Data Engineering research groups. Her career spans over two decades of academic contributions in software engineering with consistent publication output. Dr. Ayala Martinez's research focuses on Empirical Software Engineering, Off-The-Shelf Adoption, Requirements Engineering, and Software and Architectural Quality. Her work demonstrates an evolution from traditional software engineering topics toward increasing integration with machine learning and AI systems. Recent publications show particular emphasis on software quality indicators, ML pipeline design principles, trustworthiness of ML models, and green computing in software systems. Analyzing her publication trends reveals a consistent research trajectory with growing focus on AI/ML integration in software engineering. Her work spans empirical studies, systematic literature reviews, and practical industrial applications. The research shows strong connections between software quality metrics, architectural decisions, and emerging technologies, with increasing attention to ethical considerations in ML systems and sustainability in software development. Most-Influential Paper Award at the 30th IEEE International Requirements Engineering Conference Dr. Ayala Martinez has participated in numerous competitive R&D projects including those funded by the Spanish National Research Plan, Horizon 2020, and the Catalan Innovation Strategy. Her collaborative network includes extensive work with Professor Javier Franch Gutierrez (69 joint publications), Silverio Juan Martinez Fernandez (26 joint publications), and Cristina Gomez Seoane (20 joint publications). Her research has been supported by various national and European funding programs focusing on software engineering, quality assessment, and open source adoption. She is actively involved with the GESSI and inSSIDE research groups at UPC, which focus on integrated software, services, information, and data engineering. These groups maintain strong industry connections and have produced significant research in empirical software engineering, reference architectures, and quality assessment methodologies. Her recent work shows increasing collaboration with researchers working at the intersection of software engineering and artificial intelligence.

Maria K. E. Lahmanمشاهده پروفایل

استاد

• Qualitative Methodology
• Research Ethics
• Culturally Responsive Research
• +۴ مورد دیگر

Maria K. E. Lahman is a Professor in the Department of Applied Statistics and Research Methods within the College of Education and Behavioral Sciences at the University of Northern Colorado. She holds a Ph.D. in Child Development from Virginia Polytechnic Institute and State University (2001) and serves as Co-Chair of the Institutional Research Board at UNC. Her academic work bridges qualitative methodology with ethical research practices and creative representation. Dr. Lahman's research focuses on culturally responsive qualitative research, research ethics, early childhood education, and the aesthetic representation of research through poetry and other creative forms. Her scholarship addresses creating ethical solutions for culturally complex methodological situations, diversity issues, young children, mothering experiences, and qualitative writing representation. As a Mennonite, she integrates social justice and peacebuilding into her pedagogy and scholarship. Her recent publications show a clear trajectory toward innovative research representation, with a particular emphasis on research poetry and culturally responsive methodologies. The 15 most recent articles reveal a consistent focus on ethical research practices, creative representation forms, and culturally responsive approaches to qualitative inquiry, with increasing attention to poetry as a legitimate research method and representation form. Outstanding Advisor Award, College of Education and Behavioral Sciences, UNC (2008-2009) Outstanding Scholar Award, College of Education and Behavioral Sciences, UNC (2007-2008) Service Provider Award, University of Northern CO (2006-2007) Outstanding Teacher Award, College of Education, UNC (2002-2003) Dr. Lahman has advised numerous graduate students in qualitative methodology and has been recognized for her exceptional mentorship. Her research program has generated multiple textbooks including Ethics in Social Science Research: Becoming Culturally Responsive (2017) and Writing and Representing Qualitative Research (2021), which have become influential resources in the field. She maintains an active research agenda focused on advancing ethical research with diverse groups and developing innovative methods for representing qualitative findings. Her work centers around creating spaces for culturally responsive research practices, with particular attention to vulnerable populations and ethical dilemmas in fieldwork. Dr. Lahman's scholarship challenges traditional research boundaries through her exploration of research poetry and other aesthetic forms of representation that maintain academic rigor while embracing creative expression.

Radu Jianuمشاهده پروفایل

مدرس

• Data Visualisation
• Visual Analytics
• Human Computer Interaction
• +۷ مورد دیگر

Dr. Radu Jianu is a Lecturer in the Department of Computer Science at City, University of London , where he has been a faculty member since 2016. He is affiliated with the giCentre , a leading research group in information visualization. He earned his PhD and MSc in Computer Science from Brown University, USA, and a Diploma in Engineering from the Polytechnic University of Timisoara, Romania. His academic career includes a previous role as Assistant Professor at Florida International University (2012–2016). His research focuses on Data Visualisation, Visual Analytics, and Human-Computer Interaction . He conducts interdisciplinary collaborations with domains such as biology, food policy, and energy decarbonisation, aiming to develop interactive visual tools that enhance data understanding and decision-making. His methodological approach includes user studies, eye-tracking, and the design of novel visualization techniques. Dr. Jianu teaches Programming in Java and Cognition and Technologies , and he coordinates the Programming Bootcamp. He also holds administrative responsibilities as the Progression and Support Director in the Computer Science Department and is a member of its Executive Committee (ExCo). His recent publications reflect a growing interest in LLM-assisted visual analytics, gaze-aware systems, and collaborative human-AI analytical frameworks . He has published in top venues such as IEEE TVCG, CHI, EuroVis, and Nature Immunology, with several best paper awards. His work on the RAMPVIS project highlights his contributions to visualization in public health emergencies. Scientific Awards: Best Paper Award, Symposium on Graph Drawing (2018) Best Short Paper Award, EuroVis (2020) Advising and Grants: Dr. Jianu supervises multiple PhD and MSc students, including Dany Laksono (Energy Decarbonisation) and Maeve Hutchinson (NLP-mediated Visualization). His students have co-authored high-impact, award-winning papers. He has been involved in funded research initiatives such as RAMPVIS, which received support from UKRI/EPSRC for developing visual analytics infrastructure during the COVID-19 pandemic. Labs and Teams: He is an active member of the giCentre at City, University of London, a hub for visualization research. He also collaborates with interdisciplinary teams in epidemiology, immunology, and computer science, contributing to large-scale projects like the Immunological Genome Project and RAMPVIS.