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Prof. Dr. Dr. Martin Stieger is a Professor of Vocational Education and Business Education at Allensbach University of Applied Sciences Konstanz since 2017. He holds dual doctorates in Political Science/History (2002) and Education (2014), with extensive academic experience across Austria, Germany, Finland, and South America. Education: Law, Politics, Social Sciences, Economics, History from Linz, Salzburg, WU Vienna, and IUB/BiH Positions: Rector of Allensbach University (current), Director of e-learning initiatives Research interests include: European vocational education standards Distance learning pedagogy and didactics Real estate economics and tax policy Software reliability modeling Public administration reform Publication trends show interdisciplinary work spanning: Real estate economics (2022-2023) Education technology (2014-2019) Legal studies (2007-2013) Software reliability (2019)

• Vocational Education
• Teacher Training
• E-learning
• +6 more

Nathaniel Hupert, MD, MPH is an Associate Professor of Population Health Sciences and Associate Professor of Medicine at Weill Cornell Medical College, Cornell University, and an Associate Attending Physician at NewYork-Presbyterian Hospital. A practicing internist and internationally recognized public-health modeler, he directs his research toward healthcare-process optimization and emergency-response logistics for both routine care and large-scale crises. Education A.B., Harvard College (1988) M.D., Harvard Medical School (1994) M.P.H., Harvard School of Public Health (2000) Research Focus Dr. Hupert’s scholarship integrates process mining , discrete-event simulation , and data-driven decision science to strengthen preparedness for bioterrorism, pandemic influenza, COVID-19, and anthrax events. His models of mass antibiotic dispensing (BERM Point-of-Dispensing staffing model) and hospital surge capacity (AHRQ Surge Model) have been downloaded and applied by public-health agencies worldwide. Current work extends to heterologous vaccination strategies, social determinants of COVID-19 transmission, and equity in child mortality. Scientific Awards & Honors Rotary Foundation Scholarship, University of Otago (1989) Rose Seegal Essay Prize, Harvard Medical School (1994) Outstanding Volunteer Service, University of Pittsburgh Medical School (1997) Pforzheimer Public Service Award, Harvard School of Public Health (1999–2000) Most Outstanding Abstract, AcademyHealth Annual Research Meeting (2003) Grants & Leadership Roles Principal Investigator on multiple federally funded projects including Managing Epidemics by Managing Mobility (NIAID, 2022-2025) and sub-awards from the National Institute of Allergy and Infectious Diseases. He founded and led the CDC Preparedness Modeling Unit (2008-2010), served on the DHHS Anthrax Modeling Working Group (2003-2009), and currently acts as Policy Lead for the Oxford-based COVID-19 International Modeling Consortium (CoMo). Laboratory & Collaborative Networks Dr. Hupert heads interdisciplinary teams that bridge Weill Cornell, the NewYork-Presbyterian healthcare system, and global partners such as the CoMo consortium. These collaborations translate simulation insights into operational tools for hospitals, public-health departments, and federal agencies.

• Public Health Emergency Preparedness
• Healthcare Operations Research
• Infectious Disease Modeling
• +12 more

Erika Abramson, M.D., MSc, is a dual-appointed Professor of Pediatrics and Population Health Sciences at Weill Cornell Medicine. She serves as Gertrude Feil Associate Dean of Curricular Affairs, Vice Chair of Health Services and Medical Education Research, and Section Chief of Pediatric Hospital Medicine. An attending pediatrician at NewYork-Presbyterian Hospital, she leads the Population Health Sciences Fellowship and is board-certified in General Pediatrics. M.S., Weill Graduate School of Medical Sciences of Cornell University (2009) M.D., New York University School of Medicine (2003), member of Alpha Omega Alpha B.A., Yale University (1999), magna cum laude Dr. Abramson’s research spans three domains: (1) Medical Education , focusing on scholarly activity training, mentorship, and structural competency frameworks; (2) Health Informatics , examining EHR usability, e-prescribing safety, and health information exchange; and (3) Health Services Research , addressing care coordination, health equity, and ED utilization. Her work often intersects with technology’s role in healthcare delivery. Recent publications highlight her expertise in culturally responsive education, quality improvement in academic settings, and pandemic-related healthcare trends. A recurring theme is optimizing technology to reduce disparities and enhance patient safety. Scientific honors include: New York Super Doctors® Rising Stars (2015-2018) National leadership roles in pediatric education (APPD, APA) Multiple teaching awards (Weill Cornell, NYPH) Research mentoring excellence recognition Dr. Abramson trains future pediatricians as a medical educator and leads institutional curricular reform. She has received grant support from the National Institute of Child Health & Human Development for collaborative research on Learning Health System science.

• Pediatrics
• Hospitalist Medicine
• Medical Education
• +5 more

Prof. Dr. Daniela Beisser is a Professor at the Department of Engineering and Natural Sciences (FB 8) of the Westphalian University of Applied Sciences in Recklinghausen, Germany. Her research focuses on bioinformatics and biostatistical methods for high-throughput 'omics data, applied to biomedicine and freshwater ecology. She previously held academic roles at the University of Duisburg-Essen (2017–2023) and University Hospital Essen. 2004–2008: B.Sc. in Molecular Biology with Bioinformatics focus, FH Gelsenkirchen 2006–2008: M.Sc. in Molecular Biology with Bioinformatics focus, FH Gelsenkirchen 2008–2011: Ph.D. in Bioinformatics, University of Würzburg Her research integrates computational approaches with experimental data to study molecular responses to environmental stressors in freshwater organisms, genome analyses in human and protists, and proteomic studies in plants. She also investigates eco-evolutionary theories in microorganisms and links biodiversity to ecosystem functions. Recent publications highlight her work on amplicon sequencing (Natrix2 pipeline), metatranscriptomic analysis of microbial communities, and machine learning frameworks for environmental data. She contributes to software tools like TaxMapper and BioNet for reproducible workflows. Best Poster Award, German Conference on Bioinformatics (2013) Travel scholarships: DAAD, DAAD PROMOS, German Symposium on Systems Biology E-fellows.net scholarship (2006–2008) She has supervised numerous PhD, Master’s, and Bachelor’s students on topics such as protist community dynamics , fungal degradation processes , and stressor recovery mechanisms . Her lab collaborates on the CRC 1439 'RESIST' project and develops tools for environmental DNA analysis.

• Bioinformatics
• Computational Biology
• Microbial Ecology
• +6 more

D. Frantz is an Assistant Professor at Trier University , leading the Geoinformatics - Spatial Data Science lab. Their research focuses on transforming Earth Observation (EO) data into actionable environmental insights through preprocessing, data cubes, and machine learning. Current Position : Assistant Professor for Geoinformatics - Spatial Data Science, Trier University (2021–today) Former Role : PostDoctoral Researcher at Earth Observation Lab, Humboldt-Universität zu Berlin (2017–2021) Education : PhD in Environmental Remote Sensing and Geoinformatics, Trier University (2013–2017) Frantz's research emphasizes open science , with all software and methods published as open source ( FORCE ). Key research areas include: EO data preprocessing to analysis-ready data Multi-sensor data integration (Sentinel, Landsat) Land cover fraction mapping and time series analysis Material stock quantification in buildings/infrastructure Climate change mitigation through urban-rural gradient analysis Recent publications highlight work on global material stock mapping , tree species classification in temperate forests, and temporally transferable crop mapping using deep learning. While no explicit awards are listed, their open-source contributions and leadership in the Geoinformatics lab underscore significant academic impact.

• Earth Observation
• Remote Sensing
• Geoinformatics
• +7 more

Liang Fengchao is an Associate Professor at the School of Public Health and Emergency Management and the School of Environmental Health and Engineering (joint appointment) at Southern University of Science and Technology (SUSTech) since 2024. Previously, he served as an Assistant Professor at the same institutions from 2020 to 2024 and completed postdoctoral research at Fuwai Hospital, Chinese Academy of Medical Sciences (2017-2020). He holds a Ph.D. from Peking University (2017) and a joint Ph.D. from Emory University (2017), with a bachelor's degree from Xiamen University (2012). Education : Ph.D. (Peking University, Emory University), B.S. (Xiamen University) Research Focus : Chronic disease epidemiology, environmental health, digital health technologies, and spatiotemporal air pollution modeling. His work integrates big data and AI to study environmental and lifestyle risk factors for chronic diseases in China, with a focus on cardiometabolic health and PM2.5 exposure. He has led national research programs and collaborated on NIH-funded U.S.-China studies. Recent publications highlight his contributions to understanding PM2.5's effects on diabetes, stroke, cardiovascular disease, and telomere biology, alongside advancements in digital health interventions across the Western Pacific region. His research spans cohort studies, meta-analyses, and spatiotemporal exposure modeling. Scientific Awards : National Natural Science Foundation of China Outstanding Youth Fund; Key grants include National Key R&D Program, NSFC projects, and NIH R01 as Co-PI. Liang has authored over 70 papers in top journals (BMJ, Circulation, PNAS) and serves on the Chinese Preventive Medicine Association's Heart Disease Prevention and Control Committee.

• Chronic Disease Epidemiology
• Environmental Health
• Digital Health Technologies
• +3 more

Robert Nicholls is a Professor of Coastal Engineering at the University of Southampton , affiliated with the School of Engineering and the School of Ocean and Earth Sciences . He co-directs the MSc Engineering in the Coastal Environment and leads the Coastal Engineering and Management research group. Theme Champion, Society and Government at Southampton Marine and Maritime Institute Southampton Lead, Tyndall Centre for Climate Change Research Editorial Board, Anthropocene Coasts His research focuses on long-term coastal engineering and climate change adaptation , particularly sea-level rise and deltaic area vulnerability . Key projects include the Bangladesh Delta Plan 2100 and the development of the DIVA (Dynamic Interactive Vulnerability Assessment) model for global coastal risk analysis. Recent publications address compound flooding , coastal landfill risks , and adaptation frameworks for deltas . His work informs international policy through contributions to the IPCC , World Bank , and Asian Development Bank . Award Highlights: Roger Revelle Medal (2008) by UNESCO's Intergovernmental Oceanographic Commission Lloyd’s Science of Risk Prize (2012) for climate change research Robert leads major initiatives like the iCOASST Project and ESPA Delta Studies , while supervising PhD students in coastal resilience and flood management.

• Coastal Engineering
• Climate Change Adaptation
• Sea-Level Rise
• +3 more

Meta Berghauser Pont is a Professor of Urban Morphology and Urban Planning at Chalmers University of Technology. She leads the Spatial Morphology Group (SMoG), focusing on quantitative analysis of urban form, space syntax, and design theory. Key research themes: urban density, sustainable cities, social-ecological systems, pedestrian movement modeling Authored the 2023 book Spacematrix: Space, Density and Urban Form , redefining density metrics Her work bridges analytical urban morphology with practical urban planning applications, particularly in noise/air quality management, transport infrastructure, and digital twin city modeling. She manages pedagogical development for architecture programs at Chalmers. Active projects include: Digital Twin Cities Centre (EU/VINNOVA) Sustainable Urban Form (Formas) Green Infrastructure Integration (Mistra Urban Futures) Multi-scale Climate Proofing (VINNOVA) Urban Design Calculator (Naturvårdsverket) Her lab develops open-source tools like the Place Syntax Tool (PST) for morphological analysis of cities.

• Urban Morphology
• Urban Planning
• Space Syntax
• +7 more

Dong Zhao is an Associate Professor of Construction Management in the School of Planning, Design and Construction at Michigan State University's College of Agriculture and Natural Resources, with a joint appointment in Civil and Environmental Engineering within the College of Engineering. His research pioneers human-building integration for smart and sustainable urban environments through advanced computational approaches. Education: Ph.D. from Virginia Tech Postdoctoral research at Virginia Tech Dr. Zhao's work fundamentally bridges human factors with building systems to optimize energy efficiency, productivity, and occupant health. His expertise spans smart building energy retrofitting, sustainable EV charging infrastructure, virtual design/construction methodologies, and systemic risk mitigation in built environments. This research creates actionable frameworks for transforming cities into responsive, sustainable ecosystems where technology serves human needs. Scientific Awards: NSF CAREER Award ASCE ExCEEd Teaching Award ASCE Best Journal Paper Award Secured major funding from the National Science Foundation, US Department of Transportation, US Economic Development Administration, and Michigan Department of Transportation. Serves as officer for ASCE's Data Sensing and Analysis Committee and reviews for over 50 international journals. As a LEED AP and TEDx speaker, he actively translates research into sustainable building practices and policy initiatives.

• Smart Buildings
• Sustainable Development
• Construction Informatics
• +5 more

Prof. Vana Kalogeraki is a Faculty Member at the Department of Informatics , Athens University of Economics and Business (AUEB) , and serves as the Dean of the School of Information Sciences and Technology and Director of the Computer Systems and Communications Laboratory . She has held academic positions at the University of California, Riverside and was a Research Scientist at Hewlett-Packard Labs . PhD: University of California, Santa Barbara M.S. & B.S.: University of Crete, Greece Her research focuses on Distributed and Real-Time Systems , Big Data Systems , Cloud Computing , Human-Centered Systems , and Crowdsourcing . She has published over 200 papers at top journals (IEEE TPDS, ACM TOS, etc.) and conferences (RTSS, DSN, ICDCS, VLDB, MDM), including co-authoring the OMG CORBA Dynamic Scheduling Standard . Her 2023-2025 publications address AI pipelines in serverless environments, edge computing for trauma detection via eye-tracking, and fairness in resource scheduling. She has received prestigious awards including an ERC Starting Grant , Best Paper Awards (DEBS 2017, IPDPS 2009), a Best Poster Award (EuroSys 2024), and multiple UC Research Awards . Her research is funded by the European Union (ARISTEIA, THALIS), NSF, and industry partners like SUN and Nokia. Advising Legacy : Supervised 10 PhD graduates (now at Google, Amazon, IBM, Apple) and over 60 MS/PhD committees Labs & Teams : Leads the Computer Systems and Communications Laboratory at AUEB, focusing on mobile human-centered systems and urban data analytics

• Distributed Systems
• Real-Time Systems
• Big Data Systems
• +8 more

Dr. Uğur ERCAN is currently serving as an Associate Professor at Akdeniz University's Department of Informatics. He holds a PhD in Econometrics from Akdeniz University (2016) and a master's degree in Mathematics (2008), with a bachelor's degree in Computer Engineering from Mersin University (2003). PhD in Econometrics (Akdeniz University, 2016) MSc in Mathematics (Akdeniz University, 2008) BSc in Computer Engineering (Mersin University, 2003) His research focuses on statistical analysis, machine learning, data mining, and optimization, with notable applications in agriculture, public health, and consumer behavior. Recent work includes machine learning models for predicting crop quality, alcohol consumption patterns, and energy systems optimization. Scientific output trends show interdisciplinary applications of machine learning across agricultural engineering, health economics, and renewable energy. Publications include predictive models for fruit characteristics, econometric analyses of household expenditures, and optimization algorithms for solar energy systems. He has contributed to 51 publications (Scopus) and maintains active research in quantitative methods, with expertise in neural networks, regression analysis, and ensemble learning techniques. His work aligns with UN Sustainable Development Goals for responsible consumption and production.

• Statistical Analysis and Applications
• Machine Learning
• Data Mining
• +4 more

Anders Kristian Munk is a Professor at DTU Management, Technical University of Denmark, based in the Department of Technology, Management and Economics within the Division for Technology and Business Studies. His research focuses on the critical intersection of technology and society through Science and Technology Studies (STS) and advanced digital methodologies. His primary research domains include: Generative AI integration in social research Digital methods development (notably data sprints) Controversy mapping of sociotechnical issues Computational ethnography and network analysis Critical examination of data imaginaries Urban studies through computational visual methods Recent publications (2023-2025) demonstrate a strategic pivot toward generative AI applications, with significant contributions in developing AI-native research frameworks like synthetic interlocutors and irreductionist mapping. His work uniquely bridges STS theory with practical tool development, exemplified by Gephisto for critical network analysis. Key application areas span public health (e.g., inflammatory bowel disease trend analysis in Africa), cultural industries (film audience analytics), and urban studies (pandemic place attachments). Prof. Munk co-developed the data sprint methodology for collaborative controversy mapping and has contributed to major projects including Climaps and EMAPS. His interdisciplinary approach combines social science rigor with computational innovation through partnerships across computer science, design, and domain-specific fields. Current work emphasizes ethical AI integration and methodological adaptation for complex sociotechnical challenges.

• Science and Technology Studies
• Digital Methods
• Generative AI for Social Research
• +5 more

Leman Figen Gül is a Professor at the Department of Architecture , Istanbul Technical University 's Faculty of Architecture. She also serves as Head of the Game and Interaction Technologies Program and Coordinator of the Graduate Informatics in Architectural Design Program. Her academic career spans institutions like Newcastle University, University of Sydney, International University of Sarajevo, TOBB University of Economics and Technology, and MacQuarie University. PhD (2007) - University of Sydney, thesis: "Understanding Collaborative Design in Different Environments: Comparing Face-to-Face Sketching to Remote Sketching and 3D Virtual Worlds" Master's (2003) - University of Sydney, Digital Media Program Master's (1996) - Mimar Sinan University, Urban Conservation Program Licence (1993) - Mimar Sinan Fine Arts University, Department of Architecture Her research explores intersections between architecture, technology, and cognition, focusing on collaborative design , virtual/augmented reality , and AI integration in architectural education . Current projects investigate AI-driven co-design interfaces, gamification of cultural heritage, and material innovation in design pedagogy. Recent publications highlight trends in design technology and empathy in architecture . Her work combines theoretical inquiry with practical implementations in digital fabrication and immersive environments. Scientific Awards Academic Performance Award (ITU, 2024) Academic Performance Award (ITU, 2022) QHT Prize 3rd & People's Prize 2nd (University of Westminster, 2017) As principal investigator, she directs projects funded by TÜBİTAK and BAP , including AI collaboration systems and mixed reality heritage interpretation. She leads the Kumio Lab and participates in EU Horizon Project evaluations.

• Architectural Education
• Spatial Cognition
• Informatics
• +10 more

Eric B Schneider is an Associate Professor of Surgery at Yale School of Medicine and holds a secondary appointment in the Department of Chronic Disease Epidemiology at Yale School of Public Health . His research spans health services, surgical outcomes, and data science , with a focus on bariatric surgery, trauma care, and health equity . PhD in Public Health from Johns Hopkins University (2009) BS in Biomedical Engineering from Johns Hopkins University (2003) Dr. Schneider's research integrates machine learning, clinical outcomes analysis, and global health initiatives . Recent publications highlight applications of AI in surgical decision-making , disparities in pediatric trauma fatalities , and metabolic surgery outcomes . His work addresses health equity in underserved populations and cost-effectiveness in surgical care. Key trends in his 2024–2025 articles include AI-driven clinical tools , health disparities in post-mastectomy reconstruction , and cost analysis in complex surgeries . Collaborative efforts involve institutions like Johns Hopkins , Karolinska Institutet , and Uniformed Services University . Dr. Schneider has mentored over 40 postdoctoral fellows and serves as Principal Investigator for Department of Defense-funded studies . He co-leads the Surgery Center for Health Services and Outcomes Research , which provides biostatistical support , database infrastructure , and machine learning expertise for surgical research.

• Public Health
• Health Services Research
• Surgical Outcomes
• +7 more

Professor Peter Diggle is an EPSRC Senior Fellow at the University of Lancaster , where he leads a research program in Spatial and Longitudinal Data Analysis . He also holds an Adjunct Professor position in the Biostatistics Department at the Yale School of Public Health . Education : PhD from Newcastle University (1977), MSc from Oxford College (1973). Research Interests : Biostatistics, spatial epidemiology, longitudinal data analysis, public health modeling, and implementation science. Scientific Awards : EPSRC Senior Fellowship Recent Article Trends : His work spans geostatistical modeling for disease surveillance, wastewater-based COVID-19 monitoring, zoonotic spillover dynamics, and helminth control program optimization. Professional Roles : Founding co-editor of Biostatistics journal and trustee of the Biometrika Trust . Collaborations : Frequent collaborations with Federico Costa, Albert Ko, Jamie Childs, and Mitermayer Reis on tropical disease research.

• Biostatistics
• Spatial Epidemiology
• Longitudinal Data Analysis
• +5 more