جست‌وجوی استاد و پژوهشگر

Lukas Engelmannمشاهده پروفایل

مدرس ارشد

• History of Epidemiology
• History of Science and Medicine
• Digital Health
• +۷ مورد دیگر

Lukas Engelmann is a Senior Lecturer at the University of Edinburgh , specifically within the Science, Technology and Innovation Studies department under the School of Social and Political Science . His research focuses on the history and sociology of biomedicine , with particular interest in epidemiological reasoning , visual cultures of disease , digital epidemiology , and decolonial approaches to medical history . The Epidemy Lab , which he founded, explores the historical development of epidemiology and its contemporary influence on data-driven public health and pandemic policy-making . Engelmann's work has been funded by prestigious grants including an ERC Starting Grant (2021-2025) for his research on the history of epidemiological reasoning, and support from the Wellcome Trust for projects examining the social dimensions of digital health . His book 'Mapping AIDS' (2018) established him as a leading scholar in medical visualization , while 'Sulphuric Utopias' (2020) with Christos Lynteris explores the technological history of maritime sanitation and its political implications. Recent publications emphasize the visual and data practices that have shaped epidemiology, including works on epidemic modeling during the COVID-19 pandemic , the history of plague mapping , and the ethical implications of digital phenotyping . He has also contributed to interdisciplinary discussions on syndemics , co-infection epistemology , and the commercialization of bacteriology in the early 20th century. His scientific contributions have earned recognition through editorial roles in journals like Big Data and Society , and collaborative projects such as 'Working with Diagrams' (2022) which investigates the epistemological role of visual tools in medical knowledge production. Scientific Awards and Funding: ERC Starting Grant (2021-2025) Wellcome Trust Institutional Support Fund British Academy/Leverhulme Small Research Grant Chancellor's Fellowship (University of Edinburgh) 'Sulphuric Utopias' listed in The Guardian's 30 Books to Understand the World (2020)

Yadvinder Malhiمشاهده پروفایل

استاد

• Ecosystem Science
• Climate Change Impact on Terrestrial Ecosystems
• Tropical Forest Ecology
• +۳ مورد دیگر

Professor Yadvinder Malhi is a leading ecosystem scientist at the University of Oxford , holding the Professor of Ecosystem Science chair at the Environmental Change Institute (ECI) within the School of Geography and the Environment. He also serves as Jackson Senior Research Fellow at Oriel College , Director of the Leverhulme Centre for Nature Recovery , and President of the British Ecological Society . Active researcher in tropical and temperate forest dynamics Advises UK and Scottish governments on nature restoration Global research across Amazon, Andes, Africa, and UK Research Focus: Malhi investigates how terrestrial ecosystems respond to global atmospheric changes, with emphasis on tropical forests , climate change adaptation , and nature-based solutions . His work integrates field physiology, remote sensing, and ecosystem modeling, notably through the GEM and RAINFOR networks. Recent Trends: Recent publications highlight cross-disciplinary approaches combining terrestrial laser scanning , trait-based ecology , and social-ecological analysis . Research spans from Arctic tundra to tropical coral reefs , with growing emphasis on UK nature recovery and global carbon cycling . Scientific Recognition: 2025: Ramon Margalef Prize in Ecology 2023: Fellow of the Royal Society (FRS) 2022: British Ecological Society President-Elect Academic Leadership: As Programme Leader of the Ecosystems & Biodiversity Research group and member of the ECI , Malhi mentors 24 graduate students while directing large-scale initiatives like the Wytham Woods monitoring station. His lab develops innovative tools for ecosystem assessment through projects like GEM Field Manual and TLS2trees algorithms.

Charity Nyeleleمشاهده پروفایل

استادیار

• Environmental Justice
• Ecosystem Services
• Urban Forestry
• +۵ مورد دیگر

Charity Nyelele is an Assistant Professor in the Environmental Sciences department at the University of Virginia. Her research bridges human well-being and environmental systems, focusing on biodiversity, climate change, and ecosystem services through the lens of environmental justice and equity. Specializes in urban forestry and socio-ecological synthesis Active in climate justice, carbon sequestration, and stormwater management Nyelele's recent work integrates machine learning and social media data to map recreational ecosystem services and optimize tree planting frameworks. She has developed multi-objective decision support tools to address urban ecosystem service trade-offs and leads research in fire-driven ecosystem restoration across Western US forests. She teaches courses on Environmental and Climate Justice , Management of Forest Ecosystems , and co-instructs Politics, Science, and Values . Contact: hbt3mb@virginia.edu

• Digital Ethics
• AI Ethics
• Media Ethics
• +۴ مورد دیگر

Benedetta Giovanola is a Full Professor at the University of Macerata (UniMC) in the Department of Political Sciences, Communication and International Relations. She holds the Jean Monnet Chair 'Ethics for Inclusive Digital Europe' (funded by the EU) and is a Visiting Professor at Tufts University, USA. She also serves as Adjunct Professor of 'Economic Philosophy and Business Ethics' at the Catholic University of Milan. Her roles include Director of the postgraduate course on 'Digital Ethics, Law, Technologies' and member of the executive board of the 'Cybersecurity, Cyber Risk and Data Protection' program, both jointly run with the Polytechnic University of Marche. Current roles: Jean Monnet Chair, Full Professor, Visiting Professor at Tufts, Adjunct Professor at Catholic University Milan. Leadership: Founder of GAIA (AI Ethics and Governance spin-off), Principal Investigator (PI) in EU-funded projects like EthicAI4CARE and REINITIALISE. Professional memberships: Member of the executive board of SIFM (Italian Association for Moral Philosophy), past Deputy Rector at UniMC (2016-2022). Research focuses on digital ethics, AI ethics, media ethics, public ethics, social and global justice. She leads projects such as ENDE (European Network on Digitalization and E-Governance) and publishes extensively on AI ethics in healthcare, cultural heritage, and business contexts. Her work emphasizes ethical frameworks for trustworthy AI and fairness in algorithmic systems. Awards and recognition include the Jean Monnet Chair, and her research has been featured in journals like AI & Society, Computer Vision and Image Understanding, and IEEE Transactions on Technology and Society. She also contributes to policy initiatives and ethical guidelines for emerging technologies.

Pia Frickerمشاهده پروفایل

دانشیار

• Computational Methodologies
• Urban Design
• Landscape Architecture
• +۸ مورد دیگر

Prof. Pia Fricker is an Associate Professor and Vice Head of the Department of Architecture at Aalto University's School of Arts, Design and Architecture in Finland. She holds the Professorship of Computational Methodologies in Landscape Architecture and Urbanism, directing the Urban Studies and Planning Programme. Her research integrates urban design, landscape architecture, and digital design culture, focusing on data-driven methods, immersive environments, and adaptive urban development. Collaborations include ETH Zurich, Singapore University of Technology and Design, and Hafencity University Hamburg. Key projects include the Metaversity and Future Smart Cities initiatives. Fricker has led over 80 publications and exhibitions globally, including at the Venice Biennale and National Design Centre Singapore. She is an editorial board member for the Journal of Digital Landscape Architecture and peer reviewer for multiple journals. Awards include the Digital Landscape Architecture Award (2018) and DLA Scientific Merit Award (2021). Her teaching emphasizes computational pedagogy and digital innovation in design education. Education: PhD in Architecture (ETH Zurich, 2021) Postgraduate in Didactics (ETH Zurich, 2011) MAS in Computer Aided Architectural Design (ETH Zurich, 2003) MSc Arch in Urban Design & Landscape Architecture (Technical University of Karlsruhe, 2001) Research Interests: Computational design, parametric modeling, mixed reality, climate-adaptive ecosystems, generative AI, and sustainable urban development. Her work bridges emerging technologies with ecological and urban challenges, emphasizing interdisciplinary collaboration. Grants & Projects: Metaversity (2023–2025, Principal Investigator) Future Smart Cities Sasakawa (2023–2024, Principal Investigator) ABRA (2020–2023, Project Member) Awards: DLA Awards (2018, 2021) DLA Review Committee Awards (2020–2022) Exhibition Recognitions (Venice Biennale, National Design Centre Singapore) Labs/Teams: Leads the Urban Studies and Planning Programme and collaborates with interdisciplinary teams on projects like the RAILCORRIDOR Singapore initiative. Active in digital twin development and AI-driven design tools.

• Cartography
• Geospatial Analysis
• Urban Planning
• +۴ مورد دیگر

Prof. Liqiu Meng serves as Chair of Cartography and Visual Analytics at the Technical University of Munich (TUM). He specializes in advanced geospatial research, digital cartography, and human-technology collaboration frameworks. Current Faculty at TUM Chair of Cartography and Visual Analytics Research Focus: His work bridges cartographic theory with cutting-edge technology, covering topics like 3D urban modeling, AI ethics visualization, geovisual analytics, and spatiotemporal data interpretation. Urban Morphology Analysis AI Ethics Cartography Geovisual Analytics 3D City Data Integration Location-Based Service Design Publications: Recent works (2025-2024) demonstrate expertise in explainable AI for urban analysis, multi-agent systems for geospatial interaction, and advanced spatial modeling techniques. Contact: liqiu.meng@tum.de | contact.lfk@ed.tum.de

Gaël Kermarrecمشاهده پروفایل

پژوهشگر

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +۳ مورد دیگر

Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections

Ngoc Thanh Nguyenمشاهده پروفایل

استاد

• Computational Collective Intelligence
• Knowledge Integration
• Data Mining
• +۶ مورد دیگر

Ngoc Thanh Nguyen is a Full Professor at Wroclaw University of Science and Technology where he serves as Head of the Department of Applied Informatics. He holds the prestigious title of Professor granted by the President of Poland and has been recognized as a Distinguished Scientist of ACM since 2009. He serves as Editor-in-Chief of both the Journal of Information and Telecommunication (JIT) and the Vietnam Journal of Computer Science (VJCS), and chairs the IEEE SMC Technical Committee on Computational Collective Intelligence. His research spans computational collective intelligence, knowledge integration, data mining, social media analysis, and sentiment analysis. Professor Nguyen has pioneered significant methodologies in spatial data clustering within network space, inter-sequence pattern mining, and graph neural network applications. His work bridges theoretical computer science with practical applications in intelligent information systems, demonstrating particular expertise in handling complex spatial and sequential data structures. His research has evolved from foundational pattern mining techniques to sophisticated neural network approaches for geospatial and social data analysis. The analysis of his recent publications reveals a strong focus on spatial data analysis in network environments, with significant contributions to clustering algorithms, graph neural networks, and pattern mining. His work consistently addresses efficiency challenges in data processing while expanding into emerging areas like Vietnamese language processing and topological data analysis. The research demonstrates a clear trajectory from traditional data mining techniques toward more sophisticated AI-driven approaches that incorporate spatial relationships and network topologies. Distinguished Scientist of ACM (2009) ACM Distinguished Speaker (2009-2013) IEEE Distinguished Visitor (2009-2013) Title of Professor granted by the President of Poland Professor Nguyen has supervised over 20 PhD students to completion and currently mentors several ongoing doctoral candidates. His academic leadership extends to founding two major conference series: the Asian Conference on Intelligent Information and Database Systems (ACIIDS) and the International Conference on Computational Collective Intelligence (ICCCI), which have become significant venues in their respective fields. His collaborative network spans multiple institutions, particularly with Yeungnam University as evidenced by several co-supervised PhD projects. As founder and chair of the IEEE SMC Technical Committee on Computational Collective Intelligence, he leads an international community of researchers advancing this specialized field. His departmental leadership at Wroclaw University of Science and Technology positions him at the center of applied informatics research and education in Poland, with particular emphasis on computational intelligence applications.

Olatunji Johnsonمشاهده پروفایل

مدرس

• Spatial Statistics
• Epidemiology
• Public Health
• +۵ مورد دیگر

Dr Olatunji Johnson is a Lecturer in Statistics at The University of Manchester's Department of Mathematics. His research focuses on spatial and spatio-temporal statistics applied to global public health challenges, including tropical diseases like malaria and neglected tropical diseases (NTDs). He holds a PhD in Statistics and Epidemiology and has developed influential geostatistical methods and R packages (SDALGCP and MBGapp) for disease mapping and surveillance. Education: PhD in Statistics and Epidemiology (supervised by Prof. Peter Diggle). Research interests include model-based geostatistics, real-time health surveillance, and hybrid machine learning approaches for spatial data analysis. He is actively seeking PhD students interested in spatial statistics applications. Key Collaborations: Worked on projects in Kenya, Cameroon, Uganda, and Ethiopia, focusing on helminth control, air pollution impacts, and disease burden analyses. Part of the Statistical Advisory Unit and contributes to the UN Sustainable Development Goals through his work on health equity and disease elimination. Notable Projects: Developed methodologies for efficient survey design in NTD programs, air quality studies in African cities, and spatiotemporal modelling of pandemic risks. His work bridges statistical innovation with actionable public health policy.

Hazem U. Abdelhadyمشاهده پروفایل

پژوهشگر ارشد

• Coastal Processes
• Hydrodynamic Modeling
• Remote Sensing
• +۴ مورد دیگر

Hazem U. Abdelhady is a Postdoctoral Research Fellow at the University of Michigan's School for Environment and Sustainability (SEAS), jointly appointed with the Cooperative Institute for Great Lakes Research (CIGLR). He will join Texas A&M University's Department of Geography as an Assistant Professor in Fall 2025. His research focuses on coastal and hydrodynamic processes, leveraging machine learning, remote sensing, and physics-based modeling to address climate-driven challenges in lakes and coastal systems. Dr. Abdelhady holds a PhD from Purdue University in Hydraulics and Hydrology Engineering and Computational Engineering (2024), an MS in Irrigation and Hydraulics Engineering from Cairo University (2020), and a BS in Civil Engineering (2018). His postgraduate certificate in Geospatial Information Sciences underscores his expertise in spatial data analysis. His research interests include coastal hydrodynamics, physical limnology, and AI-driven environmental modeling. Key projects involve understanding shoreline changes in Lake Michigan, predicting ice cover dynamics, and developing tools for climate adaptation. The Aggie CIS Lab , launching at Texas A&M in Fall 2025, will further advance these efforts, bridging disciplines to enhance coastal resilience. Recent work highlights include studies on climate impacts on lake temperatures, machine learning applications for wave modeling, and automated shoreline detection algorithms. He actively recruits PhD students for Fall/Spring 2026 to investigate Great Lakes dynamics and resilience strategies. Collaborations span academic and governmental institutions, emphasizing interdisciplinary approaches to environmental challenges. His publications span high-impact journals and conferences, reflecting contributions to both theoretical and applied aspects of water resources engineering.

• Machine Learning
• Data Mining
• GIS Modeling
• +۴ مورد دیگر

Usman Ali is an Assistant Professor and Adjunct Lecturer at the School of Mechanical and Materials Engineering, University College Dublin. He holds a Ph.D. in 'A data-driven GIS-based approach for multi-scale residential building energy modeling' (2020) from UCD and an M.Sc. in Computer Science from Lahore University of Management Science (2013). His research focuses on machine learning, GIS modeling, urban building energy systems, and energy performance certification. He has contributed to projects like the U.S.-Ireland R&D initiative on building stock classification and energy prediction, and collaborated with the Sustainable Energy Authority of Ireland (SEAI) on energy policy research. His work emphasizes data-driven solutions for energy efficiency, urban sustainability, and policy decision-making. Education: Ph.D., University College Dublin (2020) M.Sc., Lahore University of Management Science (2013) B.Sc., International Islamic University Islamabad (2008) Research emphasizes machine learning applications in energy modeling, GIS integration for urban planning, and energy policy frameworks. His recent work includes synthetic building datasets, occupancy-based energy analysis, and uncertainty quantification in energy systems.

Yijing Liمشاهده پروفایل

مدرس ارشد

• Urban Crime Analysis
• Geographic Information Systems (GIS)
• Counter-Terrorism Strategies
• +۳ مورد دیگر

Dr. Yijing Li is a Senior Lecturer in Urban Informatics at King’s College London, Department of Informatics. She joined King’s in 2018 and previously held roles at the University of Warwick and China Executive Leadership Academy Pudong. Her research focuses on spatial analysis of urban crime, counter-terrorism strategies, climate change impacts on crime, and risk management using big data. She holds a PhD in Geography of Crime from the University of Cambridge and an MSc in Urban Ecology from Peking University. Her work integrates theories from sociology, criminology, and economics with quantitative and qualitative methods. Key research areas include crime patterns during pandemic lockdowns, One Belt One Road security strategies, and environmental sustainability assessments. She has authored over 30 publications, including studies on London’s crime dynamics, spatial disparities in crime data, and vegetation change modeling using remote sensing. Dr. Li is affiliated with the Centre for Urban Science and Progress (CUSP) London and the Computing Education Research Centre (CERC). She has supervised interdisciplinary projects on employability in data science programs and collaborated with organizations like Transport for London and Westminster City Council. Her recent work examines health resilience in European countries post-pandemic and employs Bayesian models to analyze crime patterns during lockdowns.

Kenan Liمشاهده پروفایل

دانشیار

• Spatial Computation
• Environmental Health
• Community Resilience
• +۱۲ مورد دیگر

Kenan Li, Ph.D., is an Associate Professor in the Department of Epidemiology and Biostatistics at Saint Louis University’s College for Public Health and Social Justice. He joined SLU in August 2022 and teaches courses such as Statistical Learning, R for Spatial Analysis, and Environmental Determinants of Health. His research bridges data science, GIS, and public health, focusing on spatial computation, environmental exposures, and community resilience. Ph.D. in Environmental Sciences, Louisiana State University M.S. in Environmental Sciences, Louisiana State University B.S. in Environmental Sciences and Applied Mathematics, Nankai University, China Dr. Li’s research interests lie at the intersection of spatial computation, environmental health, and community resilience . He develops geo-AI frameworks , integrated geo-cyber-infrastructures , and biostatistics algorithms using big data, deep learning, and sensor data. His work emphasizes understanding human-environment interactions, urban sustainability, and health disparities. His recent publications from 2023 to 2015 reveal a strong trend in spatial modeling of population dynamics , machine learning for environmental exposure analysis , and resilience assessment in vulnerable coastal regions. He has pioneered methods like Dynamic Time Warping Self-Organizing Maps and Wavelet-based Shapelet Discovery to extract meaningful patterns from high-frequency sensor data. His scientific awards include the Taylor Geospatial Institute Seed Grant (2023) , the Saint Louis University 2023 Health Research Grant , and selection for the Scholarly Undergraduate Research Grants and Experiences . He has secured funding from NSF, NIH, USC Keck School of Medicine, and the US Army Corps of Engineers. Dr. Li has advised and collaborated on numerous research projects, particularly in interdisciplinary teams studying the Mississippi River Delta and urban health interventions. He has been involved in NIH/NIBIB-funded projects and led research on emergency management of trail systems in Los Angeles County. He is actively involved in building research labs and teams focused on spatial data science and public health analytics , having previously worked at USC’s Spatial Sciences Institute and Population and Public Health Sciences Department.

Vishal Sachdevمشاهده پروفایل

دانشیار بالینی

• Technology and Collective Action
• Cooperative Production
• Gamification of Education
• +۷ مورد دیگر

Vishal Sachdev is a Clinical Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign's Gies College of Business. He serves as Director of the MS Analytics program, Director of Illinois MakerLab, and DPI Faculty in Residence. His academic roles span teaching, research, and leadership in educational technology and innovation. Education: B.A. in Mathematics, St. Stephen's College, New Delhi (1993) M.S. in International Business, Indian Institute of Foreign Trade (1996) Ph.D. in Information Systems, University of Texas at Arlington (2007) Research Interests: Dr. Sachdev focuses on technology's role in enabling collective action, cooperative production, and gamification in education. His work explores blockchain-based DAOs, 3D printing in educational settings, and the intersection of Web3 with decentralized business models. He emphasizes scalable peer-learning environments and online/blended education frameworks. Awards: Emerging Award for Excellence in Public Engagement (UIUC) List of Excellent Teachers (UIUC, multiple years) Research Excellence Award (Gies BADM, 2023) Grants & Labs: He leads Illinois MakerLab, a pioneering academic makerspace. Notable grants include Blockchain Analytics (Gies, 2023-2025), US Competitiveness in Web3 (Solana Foundation, 2022-2024), and Autodesk grants for Fusion 360 workshops. His work bridges technology, education, and innovation through applied research. Courses: Teaches courses like Blockchain Analytics, Database Design, and Digital Making Seminar, emphasizing hands-on, industry-relevant learning.

Anne Lauscherمشاهده پروفایل

دانشیار

• Conversational Artificial Intelligence
• Fairness in AI
• Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Anne Lauscher is an Associate Professor of Data Science at the University of Hamburg Business School, specializing in fair, inclusive, and sustainable conversational AI systems. Her research focuses on improving algorithmic fairness through demographic factors in NLP systems and exploring ethical implications of large language models. She holds a PhD from the University of Mannheim, where her work on computational argumentation was awarded summa cum laude, and has conducted research at Grammarly and the Allen Institute for AI. Key contributions include gender-fair machine translation datasets (e.g., Building Bridges), bias detection frameworks (e.g., SHADES), and multilingual benchmarking tools like MultiQ. Her work has been recognized with the Maria Gräfin von Linden-Award and inclusion in the '100 Brilliant Women in AI Ethics' list. Research spans ethical NLP, multilingual AI, and societal impacts of AI technologies. Education: PhD in Data and Web Science (University of Mannheim, 2021), Postdoc at Bocconi University's NLP group (2021-2022). Academic roles include adjunct positions and international collaborations across Europe and the US. Research Interests: Conversational AI fairness, multilingual NLP systems, ethical AI evaluation, bias mitigation in LLMs, and interdisciplinary applications of machine learning in scientific discovery. Publications (select highlights): Over 55 peer-reviewed works in top-tier venues like ACL, EMNLP, and AAAI. Recent focus on LLM hallucination analysis, cross-cultural NLP benchmarks, and gender-neutral language resources. Awards: 2021 Maria Gräfin von Linden-Award (Baden-Württemberg), 2023 '100 Brilliant Women in AI Ethics', 2022 Dissertation Award Nominee (GI). Labs/Teams: Leads the UHH Data Science Research Group, collaborating with industry partners like Grammarly and academic institutions worldwide. Active in initiatives promoting gender equity in STEM and sustainable AI development.