جست‌وجوی استاد و پژوهشگر

• Media Studies
• Communication Science
• Sociology
• +۳ مورد دیگر

Dr. Anne Kroon is a Visiting Professor at the University of Amsterdam's Faculty of Social and Behavioural Sciences , affiliated with the Department of Communication, Organizations and Society . Her research focuses on media effects, computational communication science, and societal challenges such as bias, stereotypes, and age discrimination. She leads projects like INCA (Infrastructure for Content Analysis), advancing automated content analysis through computational methods. Kroon's work bridges social science theory with digital tools, addressing issues like media bias in news, algorithmic fairness, and the ethical implications of AI. Her research interests span media framing, audience behavior, and the societal impact of digital platforms. Notable projects include studies on dark platforms' role in information flows, gender and age stereotypes in job advertisements, and the psychological effects of media exposure on stereotypes. She has published extensively on computational methods, including transfer learning applications in media analysis and the detection of ethnic biases through word embeddings. Kroon's work often addresses real-world policy implications, such as combating ageism in the workplace and understanding the digital divide's vulnerabilities. She collaborates across disciplines, integrating sociology, communication science, and computer science to tackle complex societal issues. Ancillary activities, if any, are not detailed in the provided information.

• Forensic Odontology
• Dental Identification
• 3D Imaging Technology
• +۳ مورد دیگر

Associate Professor Denice Higgins is affiliated with the University of Adelaide's Dental School, specifically within the Dental School Administration. Her academic role focuses on advancing forensic odontology practices and research. Her research interests center on forensic dental identification methods, including the application of 3D imaging technologies, postmortem dental data recovery, and the analysis of DNA contamination in forensic contexts. She explores innovations such as automated 3D model comparison tools (ModelMatch3D) and the use of palatal morphology for ancestry determination. Her work also addresses disaster victim identification and the recovery of evidence from severely damaged remains. Her recent articles highlight advancements in 3D dental imaging, forensic odontology protocols, and the impact of environmental factors on DNA preservation. These studies emphasize practical applications in legal and disaster response scenarios. Professor Higgins has not been noted for any specific scientific awards in the provided information. Her contributions include developing educational resources to enhance the forensic relevance of dental records and improving methodologies for trace DNA recovery from challenging surfaces. In terms of academic advising and grants, there are no listed formal advisees or grant details in the current data. She is likely involved in collaborative research teams within the Dental School focused on forensic science and odontology advancements. While specific laboratory affiliations are not detailed, her work aligns with forensic science and dental research initiatives at the University of Adelaide.

• Healthcare Supply Chain Management
• Supply Chain Finance
• Information Systems in Logistics
• +۵ مورد دیگر

Dr. Manisha Tiwari is a Lecturer at the University of Hull's Hull University Business School , part of the Faculty of Business, Law and Politics . She specializes in Logistics and Supply Chain Management, focusing on healthcare operations, information systems, and supply chain finance. Her research applies theories like Organizational Information Processing and Resource-Based Theory to address challenges in crisis leadership, supply chain resilience, and sustainable practices. Qualifications : PhD in Management (2021-2024) from Liverpool John Moores University, UK MBA (2011-2013) Professional Background : Adjunct Lecturer at Leeds Beckett University Consultant for Ernst & Young, Tata Consultancy Services, and Infosys Research Trends : Her recent work emphasizes crisis leadership in healthcare supply chains, AI-driven solutions for SME resilience, and modeling digital technologies for resilience. She explores how frugal innovation and agile practices enhance global supply chain sustainability during disruptions. Awards : None explicitly listed. Advising & Grants : No student advisees or grant details provided. Active in the Logistics and Management Systems research group. Labs/Teams : Member of the Logistics and Management Systems group at Hull University Business School.

Yu-Run Linمشاهده پروفایل

دانشیار

• Social Networks
• Political Networks
• Computational Social Science
• +۷ مورد دیگر

Yu-Run Lin is an Associate Professor at the University of Pittsburgh's School of Computing and Information, holding secondary appointments in the Political Science and Computer Science departments. He serves as Research & Academic Director at the Institute for Cyber Law, Policy, and Security (Pitt Cyber). His research focuses on computational social science, social/political networks, and visual analytics for network data, with applications in disaster response, misinformation detection, and public algorithm accountability. He leads the PICSO Lab and has contributed to over 100 publications across top venues like ICWSM, WWW, and IEEE Transactions. Key awards include the Best Paper Award (2020) and Honorable Mention (VAST 2014). Education: PhD in Informatics, Arizona State University (2010). Postdoctoral training at Harvard University and Northeastern University. Research Interests: Lin investigates how groups react to social/political events using social media, cellphone data, and mixed methods. His work bridges computational methods with social theory to understand network dynamics, algorithmic fairness, and crisis communication. Recent projects include modeling food insecurity, analyzing conspiratorial narratives, and developing tools like FairSight and TribalGram. Grants & Awards: NSF-funded work on digital accountability of public officials, grants for opioid overdose forecasting (CASTNet), and support from the KDD Humanitarian Mapping Workshop. Awards include the 2020 Best Paper Award and multiple conference recognitions. Labs & Teams: Directs the PICSO Lab, collaborating on AI ethics, disaster analytics, and computational social science. Engages with interdisciplinary teams in Pitt Cyber and the Collaboratory Against Hate.

Zhiqiang Zhengمشاهده پروفایل

استاد

• Business Analytics
• Healthcare Analytics
• Social Media Analytics
• +۳ مورد دیگر

Zhiqiang Zheng is a Professor of Management at the Naveen Jindal School of Management, University of Texas at Dallas. He holds a Ph.D. in Operations and Information Management from the University of Pennsylvania (2003), an M.A. from the same university (2001), an M.S. in Industrial Management Engineering from Shanghai Jiaotong University (1996), and a B.S. in Management Information Systems from Harbin Institute of Technology (1993). His research focuses on business analytics, including data mining, healthcare analytics, social media analysis, and financial analytics. He also explores IT innovation diffusion and quantitative methods across operations, marketing, and finance. Key research interests include DEA-based outlier detection, hospital capacity optimization, social network analysis, and high-frequency trading. His work spans theoretical and applied domains, such as blockchain-enabled data sharing in supply chains and the impact of telehealth on healthcare utilization. He has held editorial roles for journals like the International Journal of Electronic Commerce and MIS Quarterly, and his teaching experience includes courses on data mining, business intelligence, and systems analysis. Recent publications highlight trends in blockchain applications (e.g., token incentives for developers), NFT market dynamics (resale royalties, speculation), and AI-driven disaster relief. His research also addresses digital capability divides and market efficiency in emerging technologies. Zheng has advised on projects like movie blog data for box office prediction and inferring competitive measures from aggregated data.

Sung-Gheel Jangمشاهده پروفایل

مدرس

• Geospatial Sciences
• Geographic Information Systems (GIS)
• Urban Sustainability
• +۳ مورد دیگر

Sung-Gheel Jang is a Lecturer and Faculty Director of Geospatial Sciences at the School of Marine and Atmospheric Sciences (SoMAS), Stony Brook University. He specializes in geospatial sciences and geographic information systems (GIS), directing the Geospatial Center and overseeing certificate programs in Geospatial Science. His work integrates GIS with urban sustainability, public health, and climate resilience. Education: Ph.D. in Regional Planning from the University of Illinois at Urbana-Champaign; MA in City Planning and BS in Landscape Architecture from Seoul National University. Research: Focuses on geospatial narratives, GIS database design, coastal zone management, and interdisciplinary projects like the Mapping Long Island initiative. Recent work includes climate risk mapping for Long Island and FAHSS-funded cultural mapping of Latino communities. Collaborates with historians and engineers to apply GIS in diverse fields. Teaching: Offers courses on digital cartography, geospatial problem-solving, and GIS project management, emphasizing hands-on learning. Developed an online geospatial portal for teaching/research. Labs & Projects: Leads the Geospatial Center and contributes to ISO standards (e.g., ISO 19134 for multimodal navigation). Current projects include NYS RISE-funded flood risk analysis and the Cultural Social Map of Latino Long Island.

• Health Economics
• Mental Health Economics
• Economic Evaluation Methodologies
• +۳ مورد دیگر

Christopher Rouen is a Lecturer and researcher in Public Health and Tropical Medicine at James Cook University (JCU), affiliated with the Clinical Psychedelic Research Lab. His work focuses on health economics, mental health policy, and the economic evaluation of interventions in mental health and psychedelics. He actively contributes to suicide prevention through his role as director of the Dr. Edward Koch Foundation. His research spans pandemic mental health impacts, disaster preparedness, and Indigenous health equity, with a strong emphasis on participatory health planning and data democratization to address systemic inequities. Education: While specific educational details are not provided in the text, his role as a Lecturer implies advanced academic qualifications in health economics or related fields. Research Interests: Economic evaluation methodologies for healthcare interventions. Mental health economics, particularly in pandemic contexts. Psychedelics' cost-effectiveness in clinical settings. Disaster resilience and nursing workforce preparedness. Indigenous health disparities and community-driven solutions. Research Trends: His articles highlight a focus on longitudinal studies of mental health, pandemic impact analysis, and community-based interventions. Themes include healthcare access barriers, nurse preparedness for disasters, and culturally sensitive mental health approaches. Awards: No scientific awards explicitly mentioned. Advising/Grants: No students or grants listed. His contributions are primarily research-focused with organizational partnerships. Labs/Teams: Member of the Clinical Psychedelic Research Lab at JCU, collaborating on economic frameworks for psychedelic medicine.

Mary Goitomمشاهده پروفایل

دانشیار

• Migration Studies
• Transnationalism
• Diaspora Communities
• +۵ مورد دیگر

Dr. Mary Goitom is an Associate Professor and Graduate Program Director in the School of Social Work at York University, Canada. She holds a Ph.D. in Social Work from the University of Calgary, alongside degrees from McGill University and York University. Her research focuses on migration, transnational processes, diaspora communities, and Ethiopian epistemologies, emphasizing community-based approaches and cultural knowledge systems. Dr. Goitom’s work explores identity formation, resilience, and social well-being among diasporic populations, particularly Ethiopians in Canada, South Africa, and Australia. Her educational background includes a BSW (McGill), MSW (Calgary), and Ph.D. (Calgary), with interdisciplinary expertise bridging social work, anthropology, and globalization studies. Research interests include decolonial pedagogy, anti-oppressive practice, and the intersection of religion and migration. Recent work leverages innovative methods like reflexive photography and duoethnography to center marginalized voices. Publications highlight transnational social fields, post-pandemic resilience, and diaspora mechanisms for well-being. Her scholarship critiques dominant narratives about Africa while amplifying Indigenous knowledge systems. Ongoing projects address systemic inequities in disaster response and social entrepreneurship. Advising: No named students listed in provided texts Grants/Awards: None explicitly mentioned Labs/Teams: Not specified in available information

David Wrathallمشاهده پروفایل

دانشیار

• Climate Change Adaptation
• Human Migration
• Political Ecology
• +۳ مورد دیگر

David Wrathall is an Associate Professor at Oregon State University's College of Earth, Ocean and Atmospheric Sciences. He investigates climate change impacts on human migration, focusing on vulnerable coastal communities in developing countries. His research examines how climate hazards like sea-level rise and flooding interact with socio-political factors to influence migration patterns. Previously, he served as an associate academic officer at the United Nations University Institute for Environment and Human Security and was a National Science Foundation postdoctoral researcher at UC Santa Cruz. Education: PhD in Geography, King's College London Research Interests: Dr. Wrathall's interdisciplinary research spans climate adaptation, migration dynamics, and political ecology. He explores: (1) how vulnerable populations use migration as an adaptation strategy amid environmental stress; (2) intersections of resource politics, labor economics, and climate vulnerability; and (3) data-driven analysis of human mobility patterns using innovative methods like mobile network analytics. His fieldwork emphasizes Central America and South Asia. His publications predominantly focus on climate-induced migration (38%), political ecology of resource conflicts (25%), disaster resilience (20%), and illicit economy-environment linkages (17%). Recent work increasingly incorporates big data approaches to track climate adaptation patterns. Affiliations: Lead Author, IPCC Sixth Assessment Report (Working Group II: Poverty, Livelihoods) Fellow, Hugo Observatory on Environment, Migration and Politics Steering Committee Member, Population-Environment Research Network

Andrew Crooksمشاهده پروفایل

استاد

• Geographical Information Science
• Geocomputation
• Agent-based Modeling
• +۳ مورد دیگر

Andrew Crooks is a Professor in the Department of Geography at the University at Buffalo's College of Arts and Sciences. He holds a PhD from University College London (2007) and specializes in Geographical Information Science, Geocomputation, Agent-based Modeling, Social Network Analysis, Urban Geography, and Computational Social Science. His research integrates advanced computational methods with urban and environmental challenges, focusing on topics like disaster resilience, pandemic modeling, and synthetic population dynamics. Key research contributions include frameworks for urban digital twins, synthetic population modeling, and agent-based simulations of human behavior and disease spread. He teaches courses such as GEO 281 (Web-Based GIS), GEO 120 (Maps: Earth from Above), and GEO 503 (Spatial Simulation). His work bridges geospatial technologies with social sciences, addressing issues like climate adaptation, urban shrinkage, and vaccine uptake dynamics through innovative data-driven approaches. Crooks' recent articles highlight trends in generative AI for urban modeling, crowdsourced environmental monitoring, and hybrid space information diffusion. His methodologies emphasize interdisciplinary collaboration, leveraging social media, citizen science, and large-scale computational tools to solve complex geographical problems. He has contributed to disaster response strategies, urban policy design, and pandemic preparedness through actionable insights derived from spatial and agent-based models.

• Supply chain risk management
• Homeland security games
• Process flexibility
• +۳ مورد دیگر

Yini Gao is an Assistant Professor of Operations Management at the Lee Kong Chian School of Business, Singapore Management University. She holds a dual bachelor's degree in Business Administration and Chemical Engineering from the National University of Singapore (2012) and a Ph.D. in Decision Sciences from NUS (2017). Her research focuses on supply chain risk management, healthcare analytics, and distributionally robust optimization. She has received prestigious awards including the Lee Kong Chian Research Fellowship and multiple Dean's Teaching Honor Lists. Her work spans critical areas such as disruption risk mitigation in global supply chains, healthcare operations optimization (e.g., cancer screening strategies and pandemic response modeling), and strategic decision-making under uncertainty. She has published in top-tier journals like Management Science , Production and Operations Management , and Manufacturing & Service Operations Management . Education: B.A. Business Administration & Chemical Engineering, National University of Singapore (2008-2012) Ph.D. Decision Sciences, National University of Singapore (2013-2017) Dr. Gao’s research portfolio demonstrates expertise in applying advanced optimization techniques to real-world problems, with notable contributions to anti-counterfeiting strategies, inventory management systems, and public health policy design. Her recent work explores the intersection of technology flexibility and subscription-based business models in operations strategy.

Samiul Hasanمشاهده پروفایل

دانشیار

• Transportation Data Science
• Machine Learning
• Deep Learning
• +۱۲ مورد دیگر

Samiul Hasan is an Associate Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida (UCF), where he is also a member of the Future City Initiative. He leads the Urban Networks, Mobility, and Dynamics (UNMD) Lab, focusing on data-driven approaches for smart and resilient urban systems. His research is supported by funding from the National Science Foundation (NSF), Florida Department of Transportation (FDOT), and various University Transportation Centers. Education: Ph.D. in Transportation Engineering, Purdue University, 2013 M.S. in Civil and Transportation Engineering, Bangladesh University of Engineering and Technology, 2007 B.S. in Civil Engineering, Bangladesh University of Science and Technology, 2004 His research spans transportation data science, machine learning, hurricane evacuation modeling, disaster analytics, infrastructure resilience, and human mobility. He leverages large-scale datasets from mobile devices, social media, smart cards, and traffic sensors to model urban dynamics and emergency response systems. His work integrates deep learning, graph neural networks, and agent-based modeling to understand urban mobility, traffic congestion, and evacuation behavior. His recent publications reveal a strong focus on using real-time and social media data to predict evacuation traffic, assess crash risks during disasters, model community resilience, and enhance infrastructure robustness. Key themes include disaster preparedness, urban network modeling, and the application of AI in transportation. His lab develops tools for traffic forecasting, evacuation simulation, and resilience assessment, often using multi-source data fusion. Scientific Awards: Best Dissertation Award 2014 from INFORMS TSL Society for his Ph.D. work on “Modeling Urban Mobility Dynamics using Geo-location Data” Dr. Hasan has advised several graduate students who have gone on to careers in data science, transportation modeling, and energy sectors. His lab collaborates with institutions such as FIU, Virginia Tech, WVU, and SUNY Buffalo. Funded projects include ORDER-CRISP (NSF), disaster analytics with UTCs, arterial traffic management with FDOT, and transit smart card analysis. He actively promotes interdisciplinary research to build resilient urban infrastructure and improve emergency response through data science and network modeling. Labs and Teams: He directs the UNMD Lab at UCF, which brings together researchers in data science, civil engineering, and urban planning to develop innovative solutions for urban challenges. The lab emphasizes real-world applications in mobility, safety, and resilience, particularly during extreme events.

Weiwei Zhanمشاهده پروفایل

استادیار

• Geohazard assessment and mitigation
• Geotechnical earthquake engineering
• Soil liquefaction
• +۱۱ مورد دیگر

Weiwei Zhan is an Assistant Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida (UCF), College of Engineering. He holds a Ph.D. in Civil Engineering from Clemson University (2020) and a B.S. in Geological Engineering from Chengdu University of Technology, China (2014). He is the director of the Geosystems Engineering and Intelligence Laboratory (GEI), which focuses on intelligent and systematic solutions for geohazard mitigation and infrastructure resilience. Ph.D. in Civil Engineering, Clemson University, USA, 2020 M.Sc. in Civil Engineering (non-thesis), Clemson University, USA, 2019 B.Sc. in Geological Engineering, Chengdu University of Technology, China, 2014 Dr. Zhan's research lies at the intersection of geotechnical earthquake engineering, geohazards, and data science. His primary interests include landslide hazard assessment and mitigation , soil liquefaction triggering and consequence assessment , earthquake site response and ground motion modeling , explainable machine learning and deep learning , geospatial modeling and uncertainty quantification , and multi-hazard infrastructure resilient design . His lab leverages interdisciplinary techniques from geotechnics, geology, geophysics, geodesy, and data science to advance smart cities and resilient infrastructure initiatives. His recent publications reflect a strong trend in applying machine learning and signal processing to geohazard detection. Key themes include accelerogram-based liquefaction detection , remote-sensing-based landslide early warning using satellite and UAV imagery , probabilistic seismic analysis of earthen levees , and geospatial modeling of seismic hazards . His work emphasizes uncertainty quantification, real-time hazard assessment, and the development of open-source tools like the OpenLIQ geospatial liquefaction database. Scientific awards and honors include: National Scholarship, Ministry of Education of China (2016) Travel Grants from NHERI SimCenter and EERI (2022) Top 10 Bachelor’s Thesis at Chengdu University of Technology (2014) Honorable Mentions in International and National Mathematical Modeling Competitions Dr. Zhan has served as a reviewer for numerous journals and as a convener for major conferences such as SSA and IAEG. His lab, GEI, conducts research on full-cycle landslide hazard management, near-real-time liquefaction detection, earthquake ground-motion modeling, and geospatial analytics. He has secured research support through travel grants and symposium funding, and his ongoing work includes developing globally applicable models for lateral spreading and improving ground-motion models using geospatial proxies.

• Geospatial data management
• Infrastructure network analysis
• Climate change impacts on infrastructure
• +۳ مورد دیگر

Craig Robson is a Lecturer in Data Centric Engineering at the School of Engineering, Newcastle University. He holds a PhD in Geospatial Engineering (2017) and has been involved in research and teaching focused on geospatial data applications in civil engineering. His work emphasizes climate change impacts on infrastructure, network resilience, and integrated assessment frameworks. Robson is part of the Geospatial Engineering group and leads projects like the MACC Hub and OpenCLIM initiative. Education: PhD in Geospatial Engineering (2017, Newcastle University). Research expertise includes geospatial data management, infrastructure network analysis, and digital twins. He serves as GISRUK national Chair and DAFNI Champion, promoting geospatial standards and national infrastructure analytics. Teaching roles include modules like CEG3005 (Data-centric urban environment) and CEG8006 (Digital Engineering and Analytics). Key research projects include the UK Climate Resilience Programme (PI), FloodPrepared real-time flood modeling, and contributions to NERC's Digital Solutions Hub. His work spans climate adaptation frameworks, urban resilience, and data-driven decision tools for infrastructure systems. Grant involvement includes £2M OpenCLIM project (Co-I) and MACC Hub leadership. He supervises PhD students researching topics like tailings dam failures and urban network resilience. Collaborations include EA, Arup, and the Tyndall Centre.

Daniel Melserمشاهده پروفایل

پژوهشگر ارشد

• Economic Measurement
• Index Numbers
• Real Estate
• +۶ مورد دیگر

Dr. Daniel Melser is a Senior Research Fellow in the Department of Econometrics and Business Statistics at Monash University. He concurrently serves as Associate Director (Quantitative) at NAB and previously held roles at ANZ as Senior Stress Testing and Forecasting Manager. His research focuses on economic measurement, real estate, credit risk modeling, and climate change impacts on housing. He completed his PhD at UNSW (2004) and has held positions in academia, government (e.g., Statistics New Zealand, UK Office for National Statistics), and industry (Moody’s Analytics). Education: PhD in Economics, UNSW, 2004 Research Interests: Economic measurement and index numbers Real estate, housing, urban, and regional economics Credit risk modeling, stress testing, and macroprudential policy Climate change vulnerability in housing systems His current projects include ARC-funded work on commercial real estate price indexes and a study on housing resilience costs. He has authored over 29 peer-reviewed articles and received awards for best papers in 2016 and 2017. Grants & Projects: ARC grant: Measuring the Commercial Real Estate Sector in Australia (2022–2025) Climate Change Vulnerability in Australia’s Housing System (2025–2027) Awards: European Real Estate Society Best Paper Award (2017) Kendrick Prize for Best Paper in Review of Income and Wealth (2016) Advising & Editorial: Associate Editor, Australian Economic Papers (2021–present) His work contributes to UN Sustainable Development Goals related to climate action, sustainable cities, and responsible consumption.