جست‌وجوی استاد و پژوهشگر

Elizabeth Hendersonمشاهده پروفایل

مدرس

• Dementia Care
• Gerontology
• Nursing Education
• +۳ مورد دیگر

Elizabeth Henderson is a Lecturer (Education) in the School of Nursing and Midwifery at Queen's University Belfast. She serves as deputy pathway lead for Older People's Nursing Programmes, leading postgraduate courses in dementia care and frailty management. She coordinates the 'Professionalism in Nursing' module for undergraduate students. Her research focuses on dementia care, delirium management, and nursing education, with contributions to scoping reviews on topics like Parkinson's disease interventions and doll therapy for dementia patients. She is an invited member of the regional dementia education workstream and has received notable awards, including the Cavell Star (2022) and the Student Nursing Times Award (2024). She supervises MSc dissertations and collaborates on projects like the All-Ireland Delirium E-Resource. Educational Background: Registered nurse with a specialist qualification in care of older people. Additional Roles: Link lecturer, personal tutor for undergraduate nurses, and member of the Academic Offence Panel. Her research interests span dementia care interventions, delirium management, and healthcare education. She has published extensively on topics such as digital diabetes interventions in nursing homes and interprofessional education for delirium. Her work aligns with UN Sustainable Development Goals addressing health and well-being (SDG 3) and quality education (SDG 4). Awards: Cavell Star, STAR Award, Ambition to Success (2025), FHEA, and Nurse Education Provider of the Year (2024). Grants/Projects: Co-Investigator on a project evaluating an e-resource for dementia care (R4219NUR, 2024–ongoing). Elizabeth actively engages in academic activities, including invited talks on dementia vs. delirium and her career journey. She contributes to regional healthcare initiatives and has been recognized for compassionate care practices.

Roxana OLOGEANU-TADDEIمشاهده پروفایل

دانشیار

• Digital Transformation
• Health Informatics
• Healthcare Technology
• +۳ مورد دیگر

Roxana OLOGEANU-TADDEI is an Associate Professor in the Department of Information, Operations and Management Sciences at Toulouse Business School. Her research focuses on digital transformation, healthcare technology, and the intersection of information systems with organizational practices. She explores themes such as trust in IT, blockchain applications in healthcare, telemedicine, and sustainable digital solutions. Her work combines action design research with mixed-methods approaches to address challenges in healthcare innovation and organizational change. Key research areas include digital transformation strategies, the role of technology in healthcare practices, and the ethical implications of AI systems. She has contributed to projects like the Digital Allergy Card, leveraging blockchain for standardized medical data sharing, and studies on tele-rehabilitation and patient engagement. Her work frequently bridges theoretical frameworks with practical implementation in pluralistic healthcare settings. Publications highlight her analysis of technology adoption barriers, the impact of trust and privacy on health app usage, and the need for sustainable digital solutions. She critiques evolving definitions in digital transformation research and advocates for methodological rigor in evaluating e-health interventions. Though no formal awards are listed, her extensive publication record and focus on real-world healthcare challenges reflect her academic contributions. She collaborates with hospitals and organizations to design systems that enhance patient care and organizational efficiency, emphasizing the alignment of technology with human-centered practices.

• Human-Computer Interaction
• Machine Learning
• Natural Language Processing
• +۱ مورد دیگر

Sarah Frances Homewood is an Assistant Professor (Tenure Track) in the Department of Computer Science at the University of Copenhagen, affiliated with the Human-Centred Computing research section. Her research focuses on the intersection of human-computer interaction and artificial intelligence, with applications in healthcare, natural language processing, and interpretable machine learning. Her diverse research interests span Human-Computer Interaction, Machine Learning, Natural Language Processing, and Artificial Intelligence. Recent investigations include interpretability of large language models, clinical NLP applications, fairness in recommender systems, and quantum natural language processing. Analysis of her recent publications reveals strong emphasis on NLP interpretability techniques, healthcare applications of AI, and theoretical foundations of machine learning. Her work frequently bridges fundamental computer science with practical applications in medicine and human-centered systems. Emerging research directions include quantum NLP and protein sequence modeling. Dr. Homewood's research contributes to the Machine Learning Section's focus on both theoretical foundations and applied domains including medical data analysis and information retrieval.

Winslow Burlesonمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Robotics
• Assistive Technology
• +۵ مورد دیگر

Winslow Burleson is a Professor at the University of Arizona's School of Information, specializing in Human-Computer Interaction (HCI), Robotics, and Assistive Technology. His research focuses on developing innovative systems for education, healthcare, and marine engineering. Notable projects include the DRESS system for dementia care, CrowdMuse for collaborative creativity, and underwater robotics interfaces. He has received the James Chen Annual Award for Best Journal Article (2012) and leads interdisciplinary teams in cyberlearning and adaptive tutoring systems. Education background includes advanced studies in computer science and engineering, though specific details are not provided. His work integrates robotics, affective computing, and smart environments to address real-world challenges such as aging, education, and environmental exploration. Research interests span robotics applications in education (e.g., co-robotic learning agents), assistive technologies for independent living, and multimodal learning environments. His contributions include adaptive systems for creative crowdsourcing, emotion-aware tutoring platforms, and underwater human-robot interaction frameworks. Current projects emphasize scalable crowd ideation tools and sensor-driven behavior change interventions. Awards include recognition for impactful journal contributions, while grants fund initiatives like cyberlearning with teachable robots and precision oncology IT tools. Advising and grant activities are central to his academic contributions, though specific student names are not listed. Collaborations involve cross-disciplinary teams in engineering, healthcare, and arts to create impactful technologies. Burleson's lab focuses on developing responsive emotive systems, wearable assistive devices, and immersive multimedia applications. Ongoing work explores scalable solutions for dementia support, marine technology interfaces, and creative human-computer interaction paradigms.

Yucheng Xieمشاهده پروفایل

استادیار

• Security in Machine Learning
• Smart and Mobile Healthcare
• Mobile Computing and Sensing
• +۳ مورد دیگر

Yucheng Xie is a Tenure-track Assistant Professor in the Graduate Department of Computer Science and Engineering at Yeshiva University, affiliated with the Katz School of Science and Health. He holds a Ph.D. in Electrical and Computer Engineering from Purdue University and a Master’s in Computer Science from Stevens Institute of Technology. His research focuses on Security in Machine Learning/AI Systems , Smart and Mobile Healthcare , and Mobile Computing and Sensing . Notable contributions include non-invasive wireless sensing via mmWave and Wi-Fi signals for health monitoring, adversarial attacks on activity recognition systems, and secure mobile deep learning. His recent articles explore topics like contactless human concentration monitoring, palm-based authentication, and environment-invariant eating behavior tracking. These works highlight innovations in mmWave technology, cybersecurity for AI systems, and healthcare applications. Awards : Best Paper Runner-up (IEEE Conference on Communications and Network Security, 2024) Best Paper Runner-up (IEEE International Conference on Computer Communications and Networks, 2022) Best Paper Award (EAI International Conference on IoT Technologies for HealthCare, 2019) While no advising or grant details are provided, his work emphasizes practical applications of wireless sensing and secure AI systems. No specific lab affiliations are mentioned, though his research often involves interdisciplinary collaboration.

Yingzi Linمشاهده پروفایل

استاد

• Human-Machine Systems
• Biosensing
• Transportation Safety
• +۳ مورد دیگر

Dr. Yingzi Lin is a Professor and Chair of Mechanical and Industrial Engineering at Northeastern University, Boston, MA. She directs the Intelligent Human-Machine Systems (IHMS) Laboratory and specializes in human-machine systems, biosensing, and human factors in healthcare and transportation safety. Her research is funded by NSF, NIH, NIST, and industry partners like GM and Bose. Education: PhD (2004), Mechanical Engineering from the University of Saskatchewan. Research Interests: Includes human-robot interaction, driver-vehicle systems, patient safety, and multimodal pain assessment. She develops technologies like the COMPASS system for objective pain measurement and cognition-driven navigation tools for firefighters. Key Grants: Principal Investigator for NSF-funded projects on pain assessment and Co-PI for NIH-funded VR-based stroke recovery studies. Collaborates on NIST initiatives for firefighter spatial systems. Awards: NSF CAREER Award (2010), NSERC UFA (2004), IEEE Computational Intelligence Society Outstanding Paper Award (2013), and 2023 Excellence in Mentoring Award. Labs & Teams: Leads the IHMS Lab, focuses on human-technology integration and robotics. Engages in interdisciplinary collaborations through Northeastern's Institute for Experiential AI and Experiential Engineering Education.

• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• Accessibility in Technology
• +۳ مورد دیگر

John Quarles is a Professor at the University of Texas at San Antonio, specializing in Virtual Reality (VR) and Human-Computer Interaction. His research focuses on accessibility in immersive technologies, cybersickness mitigation, and inclusive design. He has contributed over 100 publications across top venues like IEEE VR, ISMAR, and IEEE Transactions on Visualization and Computer Graphics. His work addresses challenges faced by users with disabilities, such as balance impairments and mobility limitations, through innovative feedback systems and adaptive algorithms. Quarles has co-authored influential papers on cybersickness prediction, VR accessibility for persons with Multiple Sclerosis, and disability simulations to reduce societal bias. He has held leadership roles including Program Chair for IEEE VR 2023, demonstrating his influence in academic and industrial VR communities. His research spans interdisciplinary applications in healthcare, education, and rehabilitation, with notable collaborations on datasets like 'Mazed and Confused' and frameworks like SmoothRide. Key themes include multimodal feedback methods, user-centric design principles, and leveraging AI for personalized VR experiences.

Zhiyuan Luoمشاهده پروفایل

استاد

• Machine Learning
• Indoor Positioning Systems
• Wireless Networks
• +۴ مورد دیگر

Professor Zhiyuan Luo is affiliated with the Department of Computer Science and the Centre for Machine Learning at Royal Holloway, University of London. His research focuses on machine learning applications in indoor positioning systems, wireless networks, and signal processing. He has contributed to over 146 research outputs, including peer-reviewed articles and conference contributions. Key collaborations include projects funded by Innovate UK and the European Union, such as DataSim (rail timetable optimization) and Exascale Compound Activity Prediction Engine. He serves as a Co-Investigator in multiple research initiatives, including smart transport and chemical synthesis machine learning projects. His work aligns with UN Sustainable Development Goals through advancements in technology and data-driven solutions. Notable research areas include WiFi fingerprinting, dynamic model switching algorithms, and viewer insights in linear television using ML techniques.

• Health Policy
• Genomics
• Pharmacogenomics
• +۴ مورد دیگر

Professor Christine Lu is a globally recognized academic in clinical pharmacy and pharmacoeconomics, serving as Chair of Clinical Pharmacy at the Sydney Pharmacy School, University of Sydney. She holds a dual appointment at the Northern Sydney Local Health District and has held previous roles at Harvard Medical School and Harvard Pilgrim Health Care Institute. Her expertise spans health policy, genomic medicine, and pharmacoepidemiology, with a focus on optimizing medication use and outcomes in diverse populations. Education & Career: Dr. Lu earned her MSc (Biopharmaceuticals) and PhD from the University of New South Wales and completed postdoctoral training at Harvard Medical School. She transitioned from academic roles in the U.S. to the University of Sydney in 2023. Research Interests: Her work addresses critical issues in healthcare systems, including: Impact of health policies on medication access and outcomes Genomic healthcare (e.g., pharmacogenomics) and ethical implications Quality use of high-cost medicines and biosimilars Real-world evidence generation using linked datasets Her current projects include national analyses of precision medicine and biosimilar utilization in Australia. Publications & Impact: Over 200 peer-reviewed articles reflect her focus on disparities in chronic disease outcomes, pharmacogenetic testing, and AI-driven predictive analytics. Recent work highlights disparities in heart failure mortality among diabetes patients and the utility of genomic testing in pediatric populations. Awards & Recognition: Recipient of the Genomic Innovator Award (NIH, 2020-2025), Robert H. Ebert Career Development Award (Harvard, 2018-2020), and the Caroline Miles Award (University of Oxford, 2016). Grants & Mentorship: Leads postgraduate research scholarships in medicines policy and outcomes research. Current advisees include Harry LE (optimizing psychotropic use in dementia) and Benson YIU (biosimilar utilization analysis). She chairs multidisciplinary teams at the Sydney Pharmacy School and collaborates internationally on implementation science initiatives like the IMPULSS program for Lynch syndrome screening. Labs & Collaborations: Active in translational research through the Sydney Pharmacy School’s Clinical Pharmacy Unit, focusing on real-world data applications and health technology assessment. Collaborates with global networks including ISPOR and the Harvard Club of Australia.

Hugo Larochelleمشاهده پروفایل

دانشیار

• Neural Networks
• Deep Learning
• Machine Learning
• +۴ مورد دیگر

Hugo Larochelle is an Associate Professor at the Université de Montréal's Department of Computer Science and Operations Research (DIRO) within the Faculty of Arts and Sciences. His expertise spans Neural Networks, Deep Learning, and Machine Learning, with contributions to fields like Computer Vision and Natural Language Processing. A graduate of DIRO (Bacc 2004, PhD 2009), he held roles at the University of Sherbrooke (2011–2016) and co-founded Whetlab (acquired by Twitter in 2015). Currently at Google Brain, he balances academic and industrial research, leading projects like the UNIQUE initiative exploring neuroscience-AI intersections. He actively contributes to Quebec’s AI ecosystem through MILA and has received prestigious awards, including the 2019 Diplômé d'honneur. His work emphasizes ethical AI, reproducibility, and interdisciplinary applications. Education: Baccalauréat (Computer Science), Université de Montréal, 2004 Doctorat (Computer Science), Université de Montréal, 2009 Research Interests: Hugo’s work focuses on advancing deep learning techniques for real-world applications, including environmental monitoring (e.g., tree crown segmentation via drone imagery), AI ethics, and model unlearning. He explores intersections between neuroscience and AI, leveraging interdisciplinary approaches to solve complex problems. Recent efforts emphasize benchmark standardization (e.g., EEVEE/GATE) and improving model efficiency through architecture innovations like SoftMoE. Articles Trends: Recent publications highlight contributions to instance segmentation (SAM models), ethical AI (unlearning frameworks), and interdisciplinary applications (e.g., bird species modeling with remote sensing). His work bridges theoretical advancements with practical tools for industries and environmental science. Scientific Awards: 2019 Diplômé d'honneur (Université de Montréal). Advising & Grants: Supervised PhD students in topics like neural networks, code modeling, and program execution (e.g., Sara Hooker, David Bieber). Co-PI on the UNIQUE project (2019–2024, FRQNT-funded), exploring neuro-AI synergies. Recipient of CIFAR funding for ICRA research (2017–2022). Labs & Collaborations: Active contributor to MILA as an associate member. Leads interdisciplinary efforts in AI for environmental challenges and healthcare imaging optimization.

Joi L. Mooreمشاهده پروفایل

استاد

• Educational Technology
• Usability Design
• E-Learning
• +۵ مورد دیگر

Dr. Joi L. Moore serves as Associate Dean for Engagement & Outreach in the College of Education & Human Development and holds a Professorship in the School of Information Science & Learning Technologies at the University of Missouri. She is also affiliated with the MU Institute for Data Science & Informatics and the Black Studies Department. With a B.S. and M.S. from North Carolina State University and a Ph.D. in Instructional Technology from the University of Georgia, her expertise spans Learning Design, E-Learning, and Usability. Over 25 years of experience in instructional materials and digital media development underscores her contributions to educational technology. Her professional service includes presidential roles in the Minorities in Media Affiliate and the Association for Educational Communications and Technology (AECT). Research focuses on Electronic Performance Support Systems, Interactive Learning Environments, and Human-Computer Interaction in web application design. Notable projects include health informatics initiatives like medication timeline visualization and patient-centered clinical documentation. Educations: B.S. Computer Science, North Carolina State University M.S. Management (MIS), North Carolina State University Ph.D. Instructional Technology, University of Georgia Research Themes: Educational Technology & Usability Patient-Centered Health IT Cultural Competency in Digital Spaces Adult Learning & Professional Development Awards: Her leadership roles in national associations reflect her impact on educational technology policy and practice. Advising/Grants: Extensive mentorship and project management experience in educational technology projects, including agile methodologies for mobile applications. Labs/Teams: Active in MU’s Data Science Institute and interdisciplinary health informatics collaborations.

Thomas Kronborg Larsenمشاهده پروفایل

دانشیار

• Diabetes Management
• Telemedicine
• Medical Informatics
• +۳ مورد دیگر

Thomas Kronborg Larsen is an Associate Professor and Head of Research Group at the Department of Health Science and Technology, Aalborg University (Faculty of Medicine). His research focuses on diabetes management, telemedicine, and AI-driven healthcare solutions. He leads the ADAPT-T2D project (2019–2025), exploring cloud-based personalized treatments for Type 2 Diabetes. Key interests include insulin adherence, remote patient monitoring, and machine learning applications in clinical settings. Education: Not explicitly listed in the text. Research interests span AI in nursing, glucose monitoring accuracy, and telemonitoring systems. Recent work emphasizes data-driven methodologies for insulin therapy adherence and missing data imputation strategies. Collaborations involve multidisciplinary teams addressing diabetes challenges through innovative technologies. His lab, Medical Informatics and Image Analysis, contributes to AI for the People initiatives, aiming to improve patient care through transparent AI systems. Media highlights include articles on insulin adherence and transparent AI for diabetics (2021–2022).

Kasper Bjerre Hendrup Andersenمشاهده پروفایل

مدرس پاره‌وقت

• Data Protection Law
• Privacy Law
• European Union Law
• +۳ مورد دیگر

Kasper Bjerre Hendrup Andersen is a Part-Time Lecturer at the Department of Law , Aalborg University , under the Faculty of Social Sciences and Humanities. His work focuses on legal frameworks for data protection and privacy. Academic Rank: Part-Time Lecturer University: Aalborg University School: Faculty of Social Sciences and Humanities Department: Law Email: kbha@law.aau.dk His research centers on the General Data Protection Regulation (GDPR) , analyzing legal definitions of personal data, consent mechanisms, and regulatory compliance. Recent publications address anonymization standards, cross-jurisdictional harmonization, and identification criteria for data subjects. Key trends in his work include GDPR implementation challenges , EU legal integration , and privacy law intersections with technology . He has contributed to both peer-reviewed journals and book chapters on these topics. Andersen has received media coverage for his expertise, including commentary on French surveillance cases and GDPR’s implications for organizational accountability. His insights bridge theoretical legal analysis and practical compliance strategies.

Emily Jeffersonمشاهده پروفایل

استاد

• Health Data Science
• Trusted Research Environments (TREs)
• Data Science
• +۶ مورد دیگر

Emily Jefferson is a Professor of Health Data Science at the University of Dundee, currently serving as CTO of Health Data Research (HDR) UK and Interim Director of DARE UK. She holds an honorary professorship in Population Health and Genomics. With a PhD in Bioinformatics and industry experience in Big Data and project management, her career spans academia, finance, and solo global travel. Her research focuses on Trusted Research Environments (TREs), data governance, and machine learning applications in healthcare. She led the Health Informatics Centre (2013–2022), managing a 60-person team supporting over 100 projects. Key achievements include ISO27001 certification and Scottish Government-accredited Safe Haven infrastructure. Since 2014, she has secured over £120M in grants as PI/Co-I, delivering £28M. Notable projects include HT-ADVANCE (hypertension biomarkers), Alleviate (chronic pain data hub), and GRAIMATTER (TRE disclosure control guidelines). She chairs boards at Swansea University and European Bioinformatics Institute. Awards include the 2016 Farr Institute Future Leader. Her work addresses SDG 3 (Good Health) and 9 (Industry/Innovation). Recent publications emphasize TRE innovation, hypertension subtyping, and pandemic data infrastructure (e.g., CO-CONNECT for COVID-19).

• Intellectual Property Law
• Artificial Intelligence Law
• Unfair Competition Law
• +۴ مورد دیگر

Prof. Tim W. Dornis is a Professor at Leibniz University Hannover's Faculty of Law, holding dual affiliations with the German, European and International Civil and Commercial Law Section and the Institute of Legal Informatics. He serves as Deputy Representative for Professors in the Faculty Council, bridging legal academia and administrative governance. His research focuses on intellectual property law, artificial intelligence ethics, and private international law, with notable contributions to AI-generated content copyright issues, unitary patent systems, and digital market regulation. Dornis has authored over 50 publications since 2001, including works on FRAND licensing, standard-essential patents, and the legal implications of generative AI. He is also a qualified practitioner in private international law, addressing cross-border legal conflicts and jurisdictional challenges. His expertise spans doctrinal legal analysis, socio-economic perspectives on creativity rights, and the evolving intersection of technology with civil law frameworks. Research Interests: Intellectual Property Law and AI Unitary Patent System Challenges Unfair Competition in Digital Markets Private International Law Harmonization Recent Articles Highlight: Explores Generative AI's copyright implications , EU patent package ambiguities , and cross-border legal conflicts . Active in legal reform discussions around algorithmic accountability and automated contracting systems.