جست‌وجوی استاد و پژوهشگر

Sara Gerkeمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Healthcare Law
• Medical Devices Regulation
• +۳ مورد دیگر

Sara Gerke is an Associate Professor in the College of Law at the University of Illinois and a Richard W. and Marie L. Corman Scholar. She is affiliated with the European Union Center. Her research focuses on the intersection of law, ethics, and technology in healthcare, particularly in artificial intelligence (AI) applications, medical devices, data privacy, and liability frameworks. Her work addresses regulatory challenges in AI-driven healthcare technologies, ethical implications of medical AI, and legal accountability in cross-jurisdictional contexts. Key research interests include AI in surgery, privacy implications of health data, and the legal dimensions of medical device innovation. She has contributed to debates on liability for AI systems, data privacy in bankruptcy scenarios, and ethical frameworks for synthetic data in biomedical research. Her interdisciplinary approach bridges legal scholarship with healthcare policy and technological innovation. Recent publications highlight themes such as liability risks for medical AI manufacturers, privacy concerns in genomic data during corporate bankruptcies, and the need for standardized labeling of AI medical devices. Media coverage of her work includes discussions on federal privacy law gaps and regulatory oversight for health AI systems. Gerke collaborates internationally on projects addressing EU-US regulatory differences in AI liability, digital health governance, and ethical AI deployment in healthcare settings. Her scholarship emphasizes balancing innovation with patient safety and legal accountability.

Ilias Danatzisمشاهده پروفایل

مدرس ارشد

• Services Marketing
• Marketing Analytics
• Customer Behavior
• +۳ مورد دیگر

Dr. Ilias Danatzis is a Senior Lecturer (Associate Professor) in Marketing Analytics at King’s Business School, King’s College London. He specializes in services marketing and management, focusing on inclusive marketplaces, toxic customer behavior management, and resilient service frontlines. His research bridges quantitative and qualitative methods, addressing issues like brand safety in digital platforms and human-AI collaboration. Education: PhD in Marketing (Summa cum Laude), Freie Universität Berlin Master of Science in Management and Marketing, Freie Universität Berlin Bachelor of Science in European Business Studies and Management, Otto-Friedrich-Universität Bamberg Research Interests: Ilias investigates designing inclusive marketplaces, mitigating toxic customer behaviors, and enhancing frontline readiness in service ecosystems. His work has been published in top journals like MIS Quarterly and Journal of Service Research , influencing industry practices in transportation, tech, and consumer services. Recognition: 2023 AMA SERVSIG Best Service Article Award 2021 Frontline-in-Crisis Research Competition Winner Top 7 prolific authors in Journal of Service Research (2023) Tiburtius Dissertation Award (2018) Teaching & Leadership: Leads Marketing Analytics, Service Experience Management, and Text Mining modules. Serves as PhD Lead for the Marketing Department, supporting doctoral initiatives. His teaching integrates real-world data and industry collaboration, earning King’s Education Award nominations. Industry Collaboration: Works with leading organizations in transportation, tech, and consumer services. Engages in public outreach, e.g., a 2025 DW News article on personal data ownership.

Hassan Malikمشاهده پروفایل

دانشیار

• Wireless Networking and Communications
• Energy-Efficient Green Networking
• Cognitive Radio Networks
• +۱۰ مورد دیگر

Hassan Malik is an Associate Professor at the University of East Anglia's School of Computing Sciences. Previously, he held roles as Senior Lecturer at Edge Hill University and Lecturer at the University of Essex. His academic background includes a PhD in Electronic Engineering (University of Surrey, 2017), MSc in Wireless Communication Engineering (University of Oulu, 2012), and BE in Information and Communication Systems (NUST, 2009). He is a Fellow of the Higher Education Academy and holds a 'Researcher to Innovator' diploma from SETsquared Partnership. His research focuses on wireless networking, energy-efficient systems, IoT, AI-driven communication networks, vehicular networks, and smart city applications. He has contributed to projects like the Innovate UK-funded 'Secure Platform for Authenticated and Reliable data exchange in Connected vehicles (SPARC)'. Key areas include NB-IoT, URLLC, fog computing, and privacy-preserving models in healthcare and smart grids. Research trends in his articles emphasize IoT/IoMT security, 5G/6G innovations, and AI integration in networks. His work addresses challenges in resource management, interference mitigation, and energy efficiency for emerging technologies. Awards: Fellow of the Higher Education Academy (HEA) He advises on PhD students and has led projects involving industry collaborations. His expertise aligns with UN SDGs related to sustainable cities, health, and innovation.

Jennifer K. Wagnerمشاهده پروفایل

استادیار

• Ethical, Legal, and Social Implications (ELSI) of Biomedical Technologies
• Genetic Privacy
• Health Data Ethics
• +۳ مورد دیگر

Jennifer K. Wagner is an Assistant Professor of Law, Policy, and Engineering at Penn State University, holding affiliations with Penn State Law, the Department of Biomedical Engineering, the Institute for Computational and Data Sciences, and the Rock Ethics Institute. She is a licensed attorney practicing part-time in Pennsylvania since 2007. Her research focuses on the intersection of law, ethics, and biomedical technologies, particularly addressing the human right to science, genetic/omic technologies, and AI governance in healthcare. Dr. Wagner earned a PhD in Anthropology (2010) and JD (2007) from Pennsylvania State University and the University of North Carolina, respectively, alongside advanced training in Biomedical Science (2003) and a BA in Anthropology (2002). She has held leadership roles in professional organizations, including chairing the ASHG Social Issues Committee and co-chairing the Ethics Committee for the American Association of Biological Anthropologists. Her work emphasizes ethical, legal, and social implications (ELSI) of emerging technologies, including synthetic data, facial recognition, and genomic medicine. Over 60 publications have been cited by the U.S. Supreme Court, and her research has been funded by NIH institutes. Notable achievements include her AAAS Science & Engineering Congressional Fellowship, where she advised on judiciary and privacy policies. Dr. Wagner’s articles highlight trends in AI governance challenges, synthetic data ethics, and genomic privacy. Her awards include recognition for bridging law, engineering, and public health. She actively contributes to policy discussions on data justice, genetic testing in immigration, and equitable access to genomic research.

• Patient-Reported Outcomes (PROs)
• Clinical Trials
• Healthcare Research
• +۵ مورد دیگر

Dr. Rebecca Mercieca-Bebber is an NHMRC Early Career Fellow at the NHMRC Clinical Trials Centre, University of Sydney, and associated with Sydney Medical School. She holds a PhD in methodological issues related to patient-reported outcomes (PROs) in clinical trials and focuses on optimizing their design, implementation, and reporting. Her work addresses challenges like missing data and patient preferences, with contributions to international guidelines such as the SPIRIT-PRO extension. She has led over 20 clinical trials and was past chair of the ISOQOL Australia and New Zealand Special Interest Group. Education: Completed her PhD supported by the Sydney Catalyst full scholarship (2014–2017). She also holds coursework awards and has been involved in developing educational initiatives for PRO integration in clinical research. Research interests include PRO methodology, missing data strategies, patient preferences, and ethical considerations in PRO use. She advocates for equity in PRO assessment for culturally diverse and Indigenous populations. Recent work explores survivorship care plans, PRO reporting standards, and ethical frameworks for patient involvement. Scientific awards include the NHMRC Early Career Fellowship (2018), Cancer Research Network 10th Anniversary Award (2016), and multiple travel grants and scholarships. She has secured grants for projects like HyNOVA and the development of PRO ethics guidelines. Her advising contributions include mentoring future PhD students on PRO-related topics like cancer survivorship and PRO implementation. Grants highlight her focus on PRO integration in diverse healthcare settings and improving trial design through education. Labs/Teams: Active in the NHMRC Clinical Trials Centre, ISOQOL, and the PROMIS International Collaboration. Collaborates with multidisciplinary teams on PRO-related studies and guideline development.

Ben Daviesمشاهده پروفایل

مدرس

• Bioethics
• Political Philosophy
• Health Care Ethics
• +۱۲ مورد دیگر

Ben Davies serves as Lecturer in Political Philosophy at the University of Sheffield's School of History, Philosophy and Digital Humanities since September 2023, following a Research Fellowship at Oxford's Uehiro Centre for Practical Ethics and teaching positions at Leeds and US institutions. His academic foundation includes studies at King's College London and the University of Edinburgh. His research centers on healthcare ethics with primary focus on intergenerational justice, patient/practitioner responsibility, and health sufficiency frameworks. Current work examines democratic health priority-setting processes, while additional interests span ageing ethics, animal welfare, disability theory, discrimination, professional ethics, and well-being concepts. He actively seeks collaboration with healthcare priority-setters across operational levels. Davies' publication trajectory from 2020-2025 reveals concentrated expertise in bioethics and political philosophy, particularly regarding health justice frameworks and responsibility ethics. His work appears in leading journals including Bioethics , Journal of Medical Ethics , and Cambridge Quarterly of Healthcare Ethics , addressing critical issues like resource allocation during pandemics, genetic information rights, and fiduciary models in clinical decision-making. Scientific awards: No awards documented in source materials. As an educator, Davies teaches 'Global Justice' (Autumn) and 'Topics in Political Philosophy' (Spring), while welcoming MA/PhD supervision inquiries in bioethics, political philosophy, and health-related applied ethics. He explicitly encourages engagement from healthcare practitioners involved in priority-setting. No laboratory or research team affiliations are indicated in available documentation.

• Health Services Research
• E-health
• Educational Research
• +۳ مورد دیگر

Aslak Steinsbekk is a Professor at the Department of Community Medicine and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). His research focuses on Health Services Research , E-health , Medical Education , and Health Communication , with a particular interest in Patient Education and Complementary Medicine . He leads the research group for Health Services Research and Health Communication and coordinates interdisciplinary teaching initiatives at NTNU. Health Services Research E-health Medical Education Health Communication Patient Education Complementary and Alternative Medicine Steinsbekk's recent publications span Virtual Reality (VR) medical training , patient portal design , chronic pain management , and interdisciplinary collaboration . His work often employs qualitative research and randomized controlled trials to assess interventions in primary care , mental health , and rehabilitation settings . Key projects include VR-based ISBAR training and the development of digital care plans for cross-organizational teams. He has been involved in multiple studies evaluating the Johns Hopkins Adjusted Clinical Groups System for risk stratification in Norwegian healthcare . His educational contributions include designing interdisciplinary courses like TverrSam and TverrPraks, integrating patient-centered communication and qualitative methods into medical school curricula. Although no scientific awards are listed, his work consistently addresses health equity , digital health innovation , and systematic clinical observation in Norwegian contexts.

Jessica Fewمشاهده پروفایل

پژوهشگر ارشد

• Energy use in domestic buildings
• Energy Performance Certificates (EPCs)
• Smart meter data analysis
• +۳ مورد دیگر

Dr Jessica Few is a Research Fellow in Data Science and End Use Energy Demand at the Bartlett School of Environment, Energy & Resources, University College London. She has been in this position since January 2021 and leads significant research initiatives within the Smart Energy Research Lab (SERL) Observatory, contributing to national energy policy discussions. Her academic background includes: PhD in Energy and the Built Environment from UCL Energy Institute (2016-2020) Research Scientist at the National Physical Laboratory (2013-2016) MPhys Physics degree from Durham University (2009-2013) Jessica's research focuses on critical energy demand issues: Differences between Energy Performance Certificate (EPC) modeled energy use and actual metered consumption Analysis of smart meter data to understand household energy patterns Impact of economic factors like the cost-of-living crisis on energy behaviors Ventilation practices in homes from both technical and sociological perspectives Her work on EPC over-prediction has generated substantial policy impact, being cited in the Skidmore review of net zero opportunities and receiving national media coverage including features in the Daily Telegraph. She leads multiple SERL statistical reports that provide comprehensive analyses of UK domestic energy use patterns across different societal segments, utilizing data from over 13,000 households. Her current research projects include: MAGC Project with the World Bank and University of Cape Town GHG-SMETER project with BEIS investigating thermal efficiency ratings SERL-EHS project linking smart meter data with the English Housing Survey Jessica contributes to academic education as a guest lecturer for PhD and MSc programs at UCL and supervises multiple MSc dissertation students while serving as a personal tutor for the Data Science for Cultural Heritage program.

• Machine Learning
• Optimization
• Reinforcement Learning
• +۴ مورد دیگر

Karan Singh is an Assistant Professor of Operations Research at the Tepper School of Business , Carnegie Mellon University. His work bridges machine learning and optimization, focusing on algorithmic solutions for interactive learning paradigms such as reinforcement learning and online control. Education : PhD in Computer Science (Princeton University, 2022), MA in Computer Science (Princeton, 2017), BTech in Computer Science (IIT Kanpur, 2015) His research addresses computational and statistical challenges in feedback-driven learning systems, with key contributions in algorithmic reductions, nonstochastic control, and privacy-preserving online optimization. Recent work includes developing sample-efficient boosting methods and establishing regret bounds for differentially private learning. Notable scientific achievements include the Porter Ogden Jacobus Fellowship (Princeton's highest graduate honor), a Best Paper Award at the OptRL workshop (NeurIPS 2019), and a Spotlight Prize at the New York Academy of Sciences' ML Symposium (2018). Karan actively contributes to academic service as a reviewer for International Conference on Machine Learning (ICML) , NeurIPS , and Mathematics of Operations Research . He serves on CMU committees including the Business Analytics Teaching Track Search Committee and Special Taskforce for Testing Requirements .

Adeel Abbasiمشاهده پروفایل

استادیار

• Machine Learning
• Critical Care Medicine
• Bioinformatics
• +۳ مورد دیگر

Adeel Abbasi, MD, ScM, is an Assistant Professor of Medicine in the Division of Pulmonary, Critical Care, and Sleep Medicine at Brown University's Warren Alpert School of Medicine. He also serves as the Associate Medical Director of the Adult Extracorporeal Life Support Program at Rhode Island Hospital. His research focuses on leveraging machine learning and bioinformatics to improve outcomes in critically ill patients undergoing mechanical circulatory support, particularly extracorporeal membrane oxygenation (ECMO). His work is supported by the Parker B. Francis Fellowship (2022-2025), the CardioPulmonary Vascular Biology Center of Biomedical Research Excellence (CPVB COBRE), and the Advance Clinical and Translational Research (Advance-CTR) Program. Dr. Abbasi holds degrees from the University of Rochester (MD, 2007), Brown University (ScM, 2022), and Northwestern University (BA, 2001). His affiliations include the Health Natural Language Processing Laboratory , Brown Pulmonary, Critical Care & Sleep Medicine , and the Brown-Lifespan Center for Digital Health . His research emphasizes predicting complications such as hemorrhage and thrombosis in ECMO patients, using machine learning to analyze large datasets from registries like ELSO. He has contributed to developing predictive models for neurological injury in ECMO patients and optimizing fluid management protocols in septic shock using ultrasound-based scoring systems. Key awards include the Parker B. Francis Fellowship, recognizing his innovative research in pulmonary and critical care medicine. His grants support translational research aimed at bridging bioinformatics and clinical practice to enhance patient care.

• Health Law
• Biomedical Research Governance
• Data Governance in Health
• +۴ مورد دیگر

Jessica Bell is an Assistant Professor in the School of Law at the University of Warwick , specializing at the intersection of law, technology, and health. Her work focuses on legal and governance challenges in biomedical research, including data-sharing networks, 3D bio-printing, and genome sequencing. She collaborates internationally on interdisciplinary projects to analyze legal frameworks in context. Her research emphasizes emerging health technologies and their societal impacts, with publications in legal, scientific, and health journals. Key themes include GDPR compliance, public-private partnerships, and ethical data governance. Jessica’s work addresses regulatory adaptation for innovations like DIY medical devices and digital mega-studies. She has presented at academic and industry events globally, contributing to policy discussions on health data linkage and charity law solutions for commercial data access. Jessica is affiliated with Warwick’s interdisciplinary teams and participates in projects such as EUCelLEX and BioSHaRE-EU. Scientific Awards: None listed. Research Supervision: No student names specified in the provided text. Labs/Teams: Collaborates with international interdisciplinary groups focusing on health law and technology governance.

Jonas Andersson Schwarzمشاهده پروفایل

دانشیار

• Digital Media
• Media Studies
• Social Structures
• +۶ مورد دیگر

Jonas Andersson Schwarz is an Associate Professor and Lecturer at the Department of Culture and Learning, Södertörn University . His research focuses on digital media's impact on social structures, everyday life, epistemology, and media ecology, particularly through platforms, apps, and mobile hardware. He adopts interdisciplinary frameworks, integrating systems theory, legal/political-economic perspectives, and historical analyses. Research Shift : Transitioned from studying unregulated file-sharing to platform-centric media ecosystems. Key Themes : Authority and control in digital infrastructures, data-driven media economies, and sociotechnical structures. His work critically examines platform power, algorithmic governance, and intersections between technological ideologies and neoliberalism. Articles reveal trends in platform capitalism, digital ethics, and systemic conditions of media production. He co-authored Framtiden (2011) and authored Plattformssamhället (2019), a policy-oriented exploration of digitalization.

• Palliative Care
• Pain Assessment
• Research Ethics
• +۴ مورد دیگر

Jacob Christian Hølen serves as an Associate Professor at the Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). His academic career centers on palliative care, pain assessment methodologies, and research ethics, with particular emphasis on vulnerable populations including the elderly and pediatric patients. His educational foundation includes a doctoral dissertation (2008) titled Pain assessment in palliative care: validation of methods for self-report and behavioural assessment and a second-degree thesis (2002) examining motivation during the Norwegian Antarctic Expedition. These qualifications established his expertise in both clinical research methodology and human factors in extreme environments. Professor Hølen's research focuses on developing and validating pain assessment tools for nonverbal populations, notably the Doloplus-2 scale for cognitively impaired elderly patients. His work bridges clinical practice and ethical frameworks, addressing critical gaps in pediatric research ethics and anonymous data usage in medical studies. He has significantly influenced Norwegian health research legislation through policy-oriented publications. Analysis of his publication timeline reveals consistent innovation in pain measurement techniques, with evolving emphasis from tool validation (2005-2008) toward ethical framework development (2010-2016). His research demonstrates strong interdisciplinary collaboration patterns, particularly with Stein Kaasa, Peter Fayers, and Jon Håvard Loge across palliative care domains. Through extensive conference presentations at venues like the International Trondheim Conference on Palliative Care and European Association for Palliative Care forums, Hølen actively disseminates knowledge beyond academia. His outreach includes lectures for the Norwegian Biotechnology Advisory Board on genetic information feedback mechanisms and symptom measurement techniques for cognitively impaired populations.

• Synthetic Data
• Data Synthesis
• Federated Learning
• +۳ مورد دیگر

Claire Little is a Researcher at the Cathie Marsh Institute for Social Research. Her work focuses on synthetic data generation, federated learning, and privacy-preserving data techniques. She is actively involved in the Centre for Digital Trust and Society, exploring interdisciplinary approaches to data trust and societal impact. Her research interests include synthetic data synthesis for census microdata, federated learning applications, and the trade-offs between data utility and disclosure risk. She has contributed to methodologies for creating synthetic teaching datasets without original data access, enhancing educational and research environments. Her publications emphasize innovative techniques like multi-objective evolutionary GANs for tabular data synthesis and comparative studies of synthesis methods. Claire’s work bridges computer science and social statistics, addressing both technical and ethical challenges in data utilization. Collaborations include global research networks exploring synthetic data validation and federated learning frameworks. She has been recognized for her contributions to privacy-preserving data science through peer-reviewed publications and conference presentations. Key affiliations include the Cathie Marsh Institute and the Christabel Pankhurst Institute, where she engages with digital futures and social research initiatives.

• Transport Geography
• Urban Planning
• GIScience
• +۳ مورد دیگر

Varun Raturi is an Affiliate Researcher in the School of Social & Political Sciences at the University of Glasgow, affiliated with the Urban Big Data Centre. His work focuses on transport geography, urban analytics, and the application of mobile and crowdsourced data to understand mobility patterns. Raturi has contributed to studies on bicycle commuting infrastructure, privacy implications in data collection, and modal competition between high-speed rail and other transport modes. His research employs methodologies from GIScience, game theory, and machine learning to address challenges in sustainable urban planning and transport policy. Recent projects include analyzing the reliability of app-based travel surveys, developing novel techniques for estimating origin-destination matrices using mobile data, and evaluating the impact of privacy measures on crowdsourced cycling data utility. Raturi has presented at leading conferences such as GIScience and AGILE, and his work appears in journals like Journal of Transport Geography and Transportation Planning and Technology . His research datasets include Strava-derived mobility data from cities like Glasgow, Manchester, and Sheffield, highlighting his focus on leveraging real-world data for urban mobility insights. These datasets underpin his exploration of spatial-temporal mobility patterns and infrastructure impacts, contributing to evidence-based policy recommendations for sustainable urban development.