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Vishal AhujaView profile

Associate Professor

• Healthcare Operations
• Operations Management
• Service Operations
• +7 more

Vishal Ahuja is an Associate Professor and Corrigan Research Professor at Southern Methodist University's Cox School of Business, with adjunct faculty status at University of Texas Southwestern Medical Center. He focuses on decision analytic tools for healthcare improvement through operations management. PhD, University of Chicago Booth School of Business MBA, University of Chicago Booth School of Business His research interests span healthcare operations, service optimization, and AI applications in clinical decision-making. He collaborates with the Department of Veterans Affairs, Parkland Hospital, and pediatric institutions to address care quality and delivery efficiency. Recent publications emphasize predictive modeling for chronic disease management, adaptive clinical trial design, and regulatory healthcare policy. Awards include the Dlin/Fischer Clinical Research Award (2021), INFORMS Pierskalla Award (2012), and 2025 AI75 recognition for Dallas-Fort Worth AI leadership. D CEO Excellence in Healthcare Award - Outstanding Healthcare Innovator (2023) NSF Game Changer Academies for Advancing Research Innovation (2022) C. Jackson Grayson Faculty Innovation Award (2022-23) At SMU, he teaches graduate courses in operations, supply chain, and service management, integrating corporate sector experience from chemical and consumer goods industries. His work has been cited by the FDA in safety labeling changes workshops.

Thomas E. DoyleView profile

Associate Professor

• Biomedical Engineering
• Human-Computer Interfacing (HCI)
• Machine Learning
• +6 more

Dr. Thomas E. Doyle is an Associate Professor at the McMaster School of Biomedical Engineering and the Department of Electrical & Computer Engineering at McMaster University. His research focuses on biomedical signal processing, human-computer interfacing (HCI), and machine learning applications for healthcare augmentation, rehabilitation, and enhancement. He holds a Ph.D. from Western Ontario, Canada, and teaches courses like COMPENG 2DI4 (Logic Design). His work bridges cybernetics and clinical applications, emphasizing AI-driven solutions for medical diagnostics, patient monitoring, and space exploration. Education: B.E.Sc, B.Sc, M.E.Sc, Ph.D. from Western Ontario, Canada Recent Projects: Developed AI systems for remote healthcare diagnostics (2023) Collaborated with NASA on medical emergency simulators for deep space missions (2017–2023) Led ventilator development efforts for local hospitals during the pandemic (2020) His research interests span machine learning for mental health diagnostics, trust quantification in medical AI, and extended reality (XR) for medical training. He emphasizes interdisciplinary approaches, integrating computational methods with healthcare challenges. Recent publications highlight applications in pediatric emergency care, chronic pain management, and reliable medical device design. Dr. Doyle actively engages in educational initiatives, including first-year engineering pedagogy and experiential learning programs. He has received funding for projects such as the Educating the Engineer of 2025 (EtE-25) awards and contributes to initiatives like the Digital & Smart Systems and Health & Bio-innovation research clusters at McMaster.

FOONG Pin SymView profile

Academic

• Patient decision aids
• Mobile health applications
• Lifestyle change and motivation
• +4 more

FOONG Pin Sym is a Senior Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. She leads the Telehealth Core, a research center focused on developing and studying eHealth projects. Her academic background includes a Master's in Human Computer Interaction Design and a PhD in Interactive Media. Her research emphasizes patient-centered technologies, with a focus on chronic disease prevention, caregiver support, and mobile health applications. Her work addresses challenges in healthcare decision-making, end-of-life care, and lifestyle interventions. Notable projects include developing digital tools for diabetes risk communication, caregiver decision support systems, and studies on telehealth during the pandemic. She teaches courses in Human-Computer Interaction, Mobile Interaction Design, and Technology for Older Adults. Her research spans qualitative and quantitative methodologies, including randomized controlled trials and participatory action research. She actively participates in interdisciplinary collaborations across health, technology, and design sectors to improve patient and caregiver outcomes. Education: PhD in Interactive Media, Master's in Human Computer Interaction Design Labs/Teams: Leads the Telehealth Core research team Grants/Projects: SMART-GDM Study, Vita project for dementia care

Ian EwartView profile

Associate Professor

• Anthropology of Technology
• Built Environment
• Ethnographic Research
• +7 more

Ian Ewart is an Associate Professor at the University of Reading's School of the Built Environment, serving as Head of Construction and Engineering Management and Research Group Lead for Organisation, People and Technology. He chairs the Research Ethics Committee since 2016 and supervises undergraduate/postgraduate dissertations. His academic journey spans engineering and anthropology: DPhil Social and Cultural Anthropology, University of Oxford, St Hugh's College (2007-2012) MSc Material Anthropology and Museum Ethnography, University of Oxford, St Hugh's College (2006-2007) BA (Hons) Archaeology and Anthropology, University of Oxford, Harris Manchester College (2003-2006) Diploma in Management Studies, University of the West of England (1990-1994) BEng (Hons) Mechanical Engineering, Staffordshire University (1983-1987) Ewart's research integrates ethnographic methods with digital technology studies, examining human-technology interactions in construction and domestic settings. His work bridges engineering practice and social anthropology, focusing on skill transmission, sustainable design, and multisensory experiences in virtual environments. Publications from 2025-2013 reveal a dominant trajectory in digital twins for socio-ecological sustainability, VR-based occupant behavior prediction, and HBIM for heritage conservation. The corpus demonstrates consistent cross-disciplinary innovation, merging archaeological reconstructions with healthcare applications while maintaining anthropological rigor. Key recognition: ESRC Future Research Leader fellowship (2013) for Designing Healthy Homes project He supervises PhD candidates like Afolabi Dania (Nigerian sustainable construction) and Joanna Hull (Heritage BIM), leveraging ESRC funding for ethnography-VR health studies. His grants emphasize participatory design and real-world impact assessment in built environments. Leaders the Organisation, People and Technology research group, developing multisensory Roman town reconstructions with sound/smell integration to advance archaeological and architectural experience modeling.

Jonas SchreyöggView profile

Professor

• Healthcare Management
• Health Economics
• Health Policy
• +5 more

Prof. Dr. Jonas Schreyögg is a Professor of Healthcare Management and Scientific Director of the Hamburg Center for Health Economics (HCHE) at the University of Hamburg since 2010. He holds the Chair of Healthcare Management and serves as Deputy Chairman of the German Council of Economic Experts for Health and Nursing Care. His roles also include memberships on scientific advisory boards and associated research at Stanford University. Education & Career: Doctorate and Habilitation (2008) from Technical University of Berlin Former Professor at Ludwig-Maximilians-University of Munich (LMU Munich) Junior Professor at Technical University of Berlin Harkness Fellow at Stanford University (2006–2007) Research Interests: Focus on healthcare systems, health economics, hospital payment reforms, pandemic policy responses, and healthcare workforce optimization. Key areas include DRG systems, healthcare competition, and socioeconomic disparities in health outcomes. He has conducted extensive research on the impact of policy interventions during the COVID-19 pandemic, including lockdown perceptions and vaccine acceptance. Grants & Awards: Recipient of the Harkness Fellowship, German National Academic Foundation doctoral scholarship, and multiple research grants. His work has been published in leading journals like Health Affairs , Journal of Public Health , and Social Science & Medicine . Professional Activities: Engaged in international collaborations and teaching in Norway, Singapore, Taiwan, and the U.S. He advises on healthcare policy and has contributed to high-profile reports on healthcare workforce sustainability and pandemic response strategies.

• Operations Research
• Mathematical Modeling
• Statistics
• +6 more

Edward H. Kaplan is the William N. and Marie A. Beach Professor of Management Sciences at the Yale School of Management, Professor of Public Health at the Yale School of Medicine, and Professor of Engineering at the Yale School of Engineering and Applied Sciences. He holds secondary appointments in Chemical and Environmental Engineering, Health Policy & Management, the Institution for Social and Policy Studies, and Statistics. Education: PhD in Urban Studies, Massachusetts Institute of Technology (1984) SM in Mathematics, Massachusetts Institute of Technology (1982) SM in Operations Research and City Planning, Massachusetts Institute of Technology (1979) BA in Urban/Economic Geography, McGill University (1977) Kaplan is an expert in operations research, mathematical modeling, and statistics, focusing on public policy and management. His research spans counterterrorism, HIV prevention, bioterrorism, and public health modeling. He has developed models for suicide bomber detection, smallpox response logistics, needle exchange program effectiveness, and wastewater-based disease surveillance. His work has been recognized with numerous awards, including the Koopman Prize (2003, 2005), INFORMS President’s Award (2002), Charles C. Shepard Science Award (2009), and INFORMS Fellow (2005). He has also served as President of INFORMS (2016) and co-directs the Daniel Rose Technion-Yale Initiative in Homeland Security.

• Lifecycle Assessment
• Energy Systems
• Environmental Impact Metrics
• +7 more

Susan Powers is a Professor of Civil & Environmental Engineering at Clarkson University, where she also serves as the Spence Professor of Sustainable Environmental Systems, Director of the Institute for a Sustainable Environment, and Associate Director of Sustainability. She earned her Ph.D. in Environmental Engineering from the University of Michigan in 1992. Research Interests: Dr. Powers specializes in lifecycle assessment and environmental impact metrics for energy systems, with recent interdisciplinary work on anaerobic digestion for food waste management and smart housing to encourage energy conservation. Her educational research integrates project-based learning to enhance energy and climate change literacy across K-12 and college levels. Scientific Awards: AEESP Distinguished Service Award (2019) AEESP Fellow (2019) Spirit of Entrepreneurship Award (2012) Premier Curriculum Award for K-12 Engineering (2009) NSF Directors Award – Distinguished Teaching Scholar (2004) Grants & Educational Leadership: Dr. Powers has led multiple education-oriented grants, including the NSF Distinguished Teaching Scholars award, to develop project-based modules for sustainability education. She actively incorporates campus sustainability initiatives into student projects to teach real-world environmental problem-solving.

• Artificial Intelligence
• Marketing Analytics
• Digital Marketing
• +4 more

Natasha Zhang Foutz is a Research Associate Professor of Commerce at the McIntire School of Commerce, University of Virginia . Her work bridges Artificial Intelligence , Marketing Analytics , and Consumer Behavior , with a focus on Digital Content and Location-Based Services . She teaches Marketing Analytics , Entertainment Marketing , and Marketing Models across undergraduate to PhD programs. Ph.D. in Marketing, Cornell University M.S. in Statistics & Marketing, Cornell University B.S. in Economics, Fudan University Her research investigates: AI-Powered Entertainment Marketing : Using machine learning to analyze consumer behavior in digital content. Privacy and Ethical Data Use : Studying consumer trade-offs between privacy and public good, especially during crises like the COVID-19 pandemic . Location Analytics : Leveraging mobile data for urban economics, real estate, and emergency response modeling (e.g., MobiRescue for disaster logistics). Prosocial Consumer Behavior : Exploring how social capital and diversity drive innovation and policy compliance. Recent publications highlight trends in Reinforcement Learning for crisis management, Privacy-Preserving AI , and Freemium Pricing Models in digital markets. Her awards include the 2025 UVA Outstanding Researcher Award and the 2018 Mallen Award for motion picture studies. Natasha serves as an Area Editor for multiple journals, emphasizing Data Science in marketing. She has advised numerous PhD students and collaborated on projects analyzing Big Data in consumer mobility and platform economics.

Federica De StefanoView profile

Associate Professor

• Strategic Human Capital
• Employee Mobility
• Career Development
• +3 more

Federica De Stefano is an Associate Professor of Organisation Studies at Saïd Business School, University of Oxford, and a Research Fellow of Green Templeton College. She serves on editorial boards for Organization Science , Human Resource Management , and Human Resource Management Review , while holding roles in the Strategic Management Society (SMS). Previously, she was an Assistant Professor at HEC Paris and a Post-Doctoral Fellow at Wharton People Analytics. She earned a PhD from Bocconi University, with additional degrees from Fudan University and Bocconi. Her research focuses on people management's impact on organizational and individual outcomes, including employee mobility, workplace safety, and social sustainability. Using quantitative methods and large datasets, her work has been published in top journals like Academy of Management Journal and Strategic Management Journal . She has received the Marie Curie Individual Fellowship and recognition as a top 40-under-40 MBA professor. Teaching focuses on people analytics and management, with a 2023 completion of the International Teachers Program (ITP). Her research grants and collaborative work at Wharton People Analytics underscore her commitment to advancing strategic human capital practices. Federica's work bridges academic rigor with real-world organizational challenges, emphasizing ethical and sustainable workforce strategies.

Jaline L GerardinView profile

Associate Professor

• Epidemiology
• Malaria
• Infectious Diseases
• +7 more

Jaline L Gerardin is an Associate Professor in Preventive Medicine (Epidemiology) and McCormick School of Engineering at Northwestern University. She is affiliated with the Center for Global Health, Institute for Public Health and Medicine (IPHAM), Northwestern Institute on Complex Systems, and Robert J. Havey, MD Institute for Global Health. Her career focuses on malaria modeling and public health interventions. Current affiliations: Northwestern University, IPHAM, NICO, Center for Global Health Prior role: Malaria lead at Institute for Disease Modeling Research Focus: Gerardin specializes in malaria transmission modeling and public health intervention optimization . Her work addresses subnational tailoring of malaria strategies, intervention mix analysis for elimination, and ethical modeling practices. She integrates multidisciplinary data (entomology, immunology, demography) into agent-based models to guide policy in resource-limited settings. Article Trends: Recent publications emphasize subnational malaria intervention prioritization (Guinea, Nigeria), diagnostic performance evaluation, human mobility impacts on transmission, and wastewater surveillance applications for disease modeling. Leadership Roles: Co-chair: American Society of Tropical Medicine and Hygiene symposia Member: WHO working groups, Malaria Modeling Consortium Advisor: WHO Malaria Multi-Model Comparison initiatives Education: PhD from University of California, San Francisco (2013)

David AlldredView profile

Professor

• Medicines Optimisation
• Patient Safety
• Deprescribing
• +5 more

Professor David Alldred is a Professor of Medicines Use and Safety at the University of Leeds' School of Healthcare, within the Faculty of Medicine and Health. His expertise spans medicines optimisation, patient safety, deprescribing, and care home medication management. He leads key research initiatives such as the NIHR Yorkshire and Humber Patient Safety Research Collaboration's 'Decluttering Safely for Safety' theme and co-leads the School of Healthcare's Quality and Safety research theme. Education: PhD (clinical research on care home medication review), MSc in Clinical Pharmacy, PGCert in Learning and Teaching, and BPharm (Hons). Professional memberships include Fellowships of the Royal Pharmaceutical Society and the Higher Education Academy. Research focuses on improving medication use for older adults in care homes and underserved populations, employing systematic reviews, qualitative studies, and RCTs. Notable projects include the CHUMS study (Department of Health-funded medication error analysis in care homes) and leadership roles in NIHR Programme Grants like CHIPPS and CHARMER. He collaborates with NHS England to implement medicines optimisation programs and co-designed multilingual medication review resources to reduce health inequalities. Awards include the Pharmacy Practice UK Research Award (2015) and NIHR Senior Investigator status (2025). His work emphasizes translating evidence into clinical practice, with over 150 publications and supervising NIHR-funded doctoral students in critical care, diabetes, cystic fibrosis, and geriatrics. Led the Care Homes' Use of Medicines Study (CHUMS), contributed to NICE guidelines for care home medicines management, and developed interventions like the Medicines at Transitions Intervention (MaTI) for heart failure patients. His research themes address polypharmacy reduction, medication safety across care transitions, and pharmacist-led deprescribing strategies.

Marcel DettlingView profile

Lecturer

• Predictive Analytics
• Applied Statistics
• Data Mining
• +6 more

Dr. Marcel Dettling is a Group Lead in Data Analysis and Statistics at the ZHAW School of Engineering , focusing on predictive analytics, applied statistics, and complex data analysis. He also serves as a Lecturer at ETH Zurich , teaching advanced statistical methods. Education : PhD in Mathematics (2000-2004), ETH Zurich Postdoc in Applied Statistics (2004-2006), Johns Hopkins University His research spans predictive analytics (regression, classification, time series), data mining, and applications in health economics, transportation safety, social sciences , and business analytics . Recent work includes pharmaceutical cost group analysis for Swiss healthcare and predictive maintenance for marine vessels. Selected publications highlight his expertise in flight trajectory modeling , deep learning error mitigation , and statistical frameworks for rehabilitation finance . His projects address diverse fields like crowdworking in nursing, energy optimization for shipping, and customer behavior prediction.

Laura AlbertView profile

Professor

• Operations Research
• Public Safety
• Emergency Management
• +4 more

Laura Albert is a Professor of Industrial & Systems Engineering at the University of Wisconsin-Madison and former David H. Gustafson Department Chair (2021-24). She serves as a Fellow of AAAS and IISE, and previously held the INFORMS presidency. Her research focuses on optimizing public-sector systems, with applications in critical infrastructure protection, emergency response, and cybersecurity. She advocates for public engagement through op-eds and blogs like 'Punk Rock Operations Research.' Education: PhD in Industrial Engineering, University of Illinois at Urbana-Champaign (2006) MS in Industrial Engineering, University of Illinois at Urbana-Champaign (2001) BS in Industrial Engineering, University of Illinois at Urbana-Champaign (2000) Research Interests: Dr. Albert’s work bridges operations research and public policy, addressing challenges in emergency medical services, voting system security, law enforcement strategies, and opioid treatment diversion programs. She employs mathematical optimization, game theory, and stochastic modeling to design resilient systems. Awards: INFORMS Impact Prize (2018) NSF CAREER Award (2011) Fulbright Award (2020) AAAS Fellow (2020) Advising & Grants: While explicit student names aren’t listed, her research has been supported by grants from the NSF, Army Research Office, and other agencies. She advises on interdisciplinary projects involving public health, cybersecurity, and disaster management. Labs/Teams: Engaged in collaborative efforts across the College of Engineering, including affiliations with the Electrical & Computer Engineering department. Leads initiatives on resilient infrastructure and emergency response systems.

Jochen WirtzView profile

Professor

• Service Management
• Intelligent Automation
• Artificial Intelligence (AI)
• +6 more

Jochen Wirtz is the Vice Dean of MBA Programmes and Professor of Marketing at the National University of Singapore (NUS Business School). He holds a Ph.D. in services marketing from the London Business School and has held leadership roles, including founding director of the UCLA–NUS Executive MBA Programme and member of the NUS Teaching Academy. His research focuses on service management, intelligent automation, AI, and corporate digital responsibility. A globally recognized authority, he has authored over 20 books, including Services Marketing: People, Technology, Strategy (9th ed.) and Intelligent Automation , with translations in 26+ languages. His awards include the Christopher Lovelock Career Contributions Award (AMA) and the Academy of Marketing Science’s Outstanding Marketing Teacher Award. He advises international firms like Accenture and KPMG and is involved in start-ups such as Dataswyft and TranscribeMe. His work emphasizes ethical AI, service robots, and cost-effective excellence, contributing to both academic research and industry practice. Wirtz’s research spans service robots, platform economies, and luxury services. His recent studies explore generative AI’s impact on service encounters, corporate digital responsibility, and B2B customer experience strategies. He actively engages with industry through consulting, keynote speaking, and executive education.

Kari IngstadView profile

Professor

• Healthcare Management
• Sociology
• Health Services Organization
• +4 more

Kari Ingstad is a Professor of Sociology at the Faculty of Nursing and Health Sciences, Nord University, and currently serves as Vice-Dean for Research. Her work bridges academia, clinical practice, and policy, focusing on healthcare organization, leadership, and innovation in Norway's health sector. She holds a PhD in Sociology from NTNU (2011) and has extensive clinical experience in municipal and specialist healthcare. Education: PhD in Sociology, NTNU, 2011 Nursing background from municipal and specialist healthcare sectors Research Interests: Workforce planning and staffing strategies in healthcare Impact of shift scheduling on employee well-being and patient safety Integration of artificial intelligence in healthcare operations Cross-sectoral collaboration and innovation in health services Recent Research Trends: Her 2024 publications emphasize strategic staffing solutions, AI-driven shift planning, and long-shift work-life balance. Key projects include the OptiCare-AI initiative (Norwegian Research Council-funded), exploring AI applications for optimizing healthcare resource allocation. Leadership & Grants: Leads the Acute Care, Innovation and Patient Safety (AKIP) research group Principal Investigator on OptiCare-AI (2023–present) Labs/Teams: Active collaborations with the AKIP group and national/international networks on healthcare workforce issues.