جستجوی استاد راهنمای دانشگاهی

Jill M Castekمشاهده پروفایل

استاد

• Digital Literacies
• New Literacies
• Bi/multilingual Education
• +۵ مورد دیگر

Jill M Castek is Professor of Literacy, Technology & Bi/multilingual Learners & STEM Education in the Department of Teaching, Learning, and Sociocultural Studies at the University of Arizona's College of Education. As Graduate Advisor for the Second Language Acquisition and Teaching (SLAT) program and Co-Director of the Digital Innovation and Learning Lab (DIALL), she bridges research and practice in digital literacy development. Dr. Castek earned her PhD in Education Psychology (Cognition and Instruction) from the University of Connecticut as a Neag fellow in the New Literacies Research Lab, followed by postdoctoral work at UC Berkeley's Lawrence Hall of Science. Her research examines how digital, visual, and audio storytelling fosters literate capacities across print and digital forms in classrooms and community spaces. Her work centers on digital problem solving , critical media literacy , and equity-centered making practices in STEM education. She investigates intersections of disciplinary literacy, new media, and learning for bi/multilingual students, with strong emphasis on community-based applications through libraries and non-profits like Literacy Connects where she serves on the board. Recent publications (2022-2025) reveal growing focus on AI-era teacher education , digital health literacy , and misinformation challenges , while maintaining core commitments to collaborative problem solving and expansive literacies frameworks. Her scholarship consistently addresses K-12 and adult learning contexts through interdisciplinary lenses. Scientific recognition includes: Neag fellowship during doctoral studies As Principal Investigator on NSF and IMLS grants, Dr. Castek advances digital equity through projects like the Making Equity Network (broadening STEM participation for underrepresented groups) and library-focused digital problem-solving initiatives serving economically vulnerable adults. Her leadership in the Technology Enhanced Language Learning (TELL) cluster hire demonstrates institutional impact. Through DIALL, she cultivates innovations connecting digital storytelling with self-expression at individual and community levels, promoting workforce readiness via creative problem-solving approaches. Her board membership with Literacy Connects extends this community-engaged scholarship to Tucson-based literacy initiatives.

Hao Yangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Transportation Safety
• Transportation Equity
• +۴ مورد دیگر

Hao Yang is an Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University, with dual affiliations at the Johns Hopkins Data Science and AI Institute and the Johns Hopkins Institute for Assured Autonomy. His research develops Trustworthy Machine Learning methods to enhance urban mobility systems, focusing on traffic safety, equity, and sustainability through ethical AI and human-machine cooperative systems. Yang earned dual bachelor's degrees in Electrical and Computer Engineering from Beijing University of Posts and Telecommunications and the University of London, followed by a Ph.D. in Civil Engineering (Transportation) from the University of Washington. His educational background bridges telecommunications, electrical engineering, and transportation systems. His research integrates spatio-temporal modeling, assured autonomous systems, and multimodal representation learning to address transportation equity and safety. Key projects include edge-AI-powered traffic surveillance, real-time crash identification, and cooperative signal assistance for vulnerable road users. His work emphasizes ethical AI deployment in cyber-physical infrastructure to create sustainable urban mobility solutions. Recent publications reveal a strategic shift toward large language models and multimodal AI for transportation challenges, with strong emphasis on explainability, reliability, and equity in traffic crash prediction, flow forecasting, and autonomous driving systems. This evolution demonstrates his commitment to adapting cutting-edge AI for real-world transportation problems. Yang's scientific contributions have earned significant recognition: Michael Kyte Outstanding Student of the Year Award (2022) High-Value Research Award from AASHTO (2022) Best Paper Award from TRB Information Systems Committee (2023) Best and Outstanding Dissertation Awards (2024) IEEE DTPI Outstanding Paper Award (2022) TRANSFOR22 Data Competition 2nd place (2022) ASCE Bridges Photo Contest First Place (2021) He actively mentors graduate researchers and seeks 2-3 PhD students for Fall 2025 to advance trustworthy AI in transportation. His research is supported by NSF, USDOT, and AASHTO grants including the Real-Time Truck Parking Information System project that received the High-Value Research Award. Current work focuses on edge-AI for traffic safety and multimodal data integration. Yang leads research within Johns Hopkins' Data Science and AI Institute and Institute for Assured Autonomy, collaborating with Transportation Research Board committees. His lab develops real-time perception systems using edge computing and representation learning, with active projects on non-motorized user safety and equitable traffic management for people with disabilities.

Peter X. K. Songمشاهده پروفایل

استاد

• data integration
• distributed inference
• high-dimensional data analysis
• +۱۳ مورد دیگر

Peter X. K. Song is a Professor in the Department of Biostatistics at the University of Michigan School of Public Health. With expertise spanning statistical methodology development and interdisciplinary applications, Dr. Song maintains active collaborations across Nutritional Sciences, Environmental Health Sciences, Chronic Disease research, and Nephrology. His work bridges theoretical statistics with practical healthcare solutions, focusing on innovative approaches to complex data challenges in public health and medicine. Based at the M4140 SPH II building in Ann Arbor, he leads the Song Lab and contributes significantly to the academic community through teaching, research mentorship, and scholarly publications. PhD, University of British Columbia, Vancouver, 1996 BS, Jilin University, Changchun, 1985 Dr. Song's research focuses on the statistical foundation of big data analytics, with particular emphasis on data integration, distributed inference, high-dimensional data analysis, longitudinal data analysis, mediation analysis, and spatiotemporal modeling. His methodological innovations address critical challenges in smart health applications, including organ exchange programs, children's health, chronic disease management, environmental health assessment, and nutritional sciences. His approach combines statistical theory, integer optimization, and algorithm development to create practical tools that help researchers understand complex relationships between environmental exposures and health outcomes. Dr. Song's publication record demonstrates a consistent trajectory of methodological innovation applied to pressing health challenges. His recent work shows increasing focus on sleep classification using AI techniques, personalized treatment effect analysis, distributed statistical methods for high-dimensional data, and epigenetic applications in adolescent health. The interdisciplinary nature of his research is evident in publications spanning biostatistics journals, computer science venues, and domain-specific medical publications. His work increasingly addresses the challenges of integrating diverse data sources while maintaining statistical rigor in the era of big data. IMS Fellow ASA Fellow Elected Member of the International Statistical Institute 2017 ENAR John Van Ryzin Award Dr. Song has mentored an impressive 22 PhD students and 6 postdoctoral trainees throughout his career, with many now holding faculty positions at prestigious institutions or working as data scientists in leading technology companies. His lab, the Song Lab, currently supports two postdoctoral research fellows and eight doctoral students working on cutting-edge statistical methodology development. His collaborative research extends across numerous grants that support interdisciplinary projects in kidney paired donation programs, environmental health studies, nutritional sciences, and chronic disease research, demonstrating his commitment to translating statistical innovation into practical health solutions. The Song Lab serves as a hub for interdisciplinary statistical research at the University of Michigan, bringing together experts from statistics, operations research, and machine learning to address complex challenges in medical and public health sciences. Current lab members include eight doctoral students and three postdoctoral fellows working on projects related to optimal organ matching strategies, causal mediation pathways of omics biomarkers, and statistical methods for big data integration. The lab maintains strong connections with clinical researchers across nephrology, pediatrics, environmental health sciences, and nutritional sciences, ensuring that methodological developments remain grounded in real-world applications.

Jeremy Greeneمشاهده پروفایل

استاد

• Medical Humanities
• History of Medicine
• Pharmaceuticals
• +۴ مورد دیگر

Dr. Jeremy Greene is the William H. Welch Professor of the History of Medicine and Director of the Department of the History of Medicine and the Center for Medical Humanities and Social Medicine at Johns Hopkins University . He holds joint appointments in the Department of History of Science and Technology and the Department of Anthropology at the Krieger School of Arts and Sciences. Education includes an MD and PhD in the History of Science from Harvard (2005), with a Residency in Internal Medicine at Brigham & Women’s Hospital (2008). His research explores how medical technologies shape understandings of health, disease, and pharmaceuticals, drawing on historical, anthropological, and policy frameworks. His scholarly activities span 20th-century clinical medicine , pharmaceuticals , medical anthropology , and global health . Recent publications analyze the evolution of digital health , generic drugs , and medical device innovation . Scientific Awards include the 2021 Nicholas Davies Award (ACP) Rachel Carson Prize (Sociology of Science) Edward Kremers Award (Pharmaceutical History) Richard Shryock Medal (Medical History) Dr. Greene also practices Internal Medicine at the East Baltimore Medical Center and contributes to initiatives like the Johns Hopkins Drug Access and Affordability Initiative and the Berman Institute of Bioethics .

• Semantic technologies
• Ontology engineering
• Internet of Things
• +۱۰ مورد دیگر

Professor Trina Myers serves as the Head of School for the School of Information Technology at Deakin University's Faculty of Science Engineering and Built Environment. With extensive experience in academia and research leadership, she plays a pivotal role in shaping IT education and research directions at Deakin. She is also an active member of the Australian Council of Deans of ICT (ACDICT), having served as its immediate past President. Her educational background includes: Doctor of Philosophy in Computer Science from James Cook University Master of Business Administration from James Cook University Master of Information Technology from James Cook University Professor Myers' research focuses on semantic technologies, ontology engineering, Internet of Things, knowledge management, natural language processing, and human-computer interaction . Her work emphasizes interdisciplinary collaboration, bridging technology with fields such as healthcare, marine science, environmental conservation, and business. She has pioneered approaches in academagogy (academic gamification) to enhance online learning engagement, particularly for adult learners. Her IoT research has significant applications in healthcare space optimization, environmental monitoring, and resource management. Her recent publications demonstrate a strong trajectory in applying AI and IoT technologies to solve real-world problems, particularly in healthcare, education, and resource optimization. There's a clear pattern of interdisciplinary work connecting computer science with healthcare, education, and environmental science. Her research increasingly focuses on human-centered technology design, especially for vulnerable populations like adolescents with autism spectrum disorder. Her notable achievements include: Fellow of the Australian Computer Society (2023) Australian Awards for University Teaching (AAUT) Teaching Award (2020) Women in IT Professional Leadership Award Finalist (2020) Asia-Pacific International Triple E Entrepreneurial Educator of the Year Award (1st runner-up, 2020) Australian Computer Society, National Digital Disruptor ICT Educator of the Year (2019) Professor Myers actively supervises doctoral students across diverse research areas including gamification in language learning, brain tumor analysis using deep learning, AI in higher education, AI for refugee resilience, data integrity in edge environments, and quantum-driven satellite networking. She has secured significant research funding, including a recent grant for "Indiginizing ICT Curriculum: A Starter Framework for the Community of Practice" through the Australian Council of Deans of ICT. Her teaching philosophy emphasizes active learning methodologies, Process Oriented Guided Inquiry Learning (POGIL), blended learning, and collective intelligence approaches.

Jerad Moxleyمشاهده پروفایل

استادیار

• Gerontology
• Psychology
• Mental Health
• +۹ مورد دیگر

Jerad Moxley is an Assistant Professor of Psychology at Weill Cornell Medical College since 2022. His academic work bridges psychology and gerontology, focusing on mental health, cognitive functioning, and technology adoption in aging populations. He contributes to interdisciplinary research in medicine and public health, particularly in dementia care, palliative care, and aging with chronic conditions like HIV. Ph.D., Florida State University (2016) M.A., Murray State University (2008) B.A., Murray State University (2004) Dr. Moxley’s research explores the psychological and social dimensions of aging, including loneliness, pain disparities, and self-perceptions of aging. He investigates how technology can enhance aging in place and improve well-being for older adults with cognitive impairments or HIV. His work often integrates cross-cultural perspectives, as seen in studies on Puerto Rican older adults and racial/ethnic differences in pain and mental health outcomes. The trends in his publications highlight interdisciplinary approaches to aging, combining psychology, public health, and technology. Recent studies address elder neglect interventions, tech adoption barriers, and the role of social support in physical and cognitive health. Earlier work examines stress-cognition interactions, late-onset depression, and cognitive aging through chess skill and decision-making paradigms. Dr. Moxley has secured significant funding from the National Institute on Aging and the Administration for Community Living. Grants include projects on pain in later life, collaborative care models for serious illness, and technology-based interventions for aging adults with HIV. He serves as Co-Investigator and Key Personnel in initiatives like the CREATE Center and ENHANCE Center, focusing on aging and technology enhancement.

Jennifer W. Caceresمشاهده پروفایل

استاد

• Quality Improvement
• Patient Safety
• Medical Student Wellness
• +۷ مورد دیگر

Jennifer W. Caceres, M.D., F.A.C.P., is Vice Dean for Medical Education and Professor of Medicine at Florida Atlantic University's Charles E. Schmidt College of Medicine. She has held leadership roles in medical education and student affairs since joining FAU in 2014, previously serving at the University of Miami Miller School of Medicine's Regional Campus (2008-2014). Her work focuses on career advising, wellness programs, and quality improvement initiatives. 1999: B.S. in Biology with Highest Honors, Rutgers University 2002: M.D., University of Medicine and Dentistry of New Jersey (articulated BA/MD program with Rutgers) 2002-2005: Internal Medicine Internship and Residency, New York Medical College at Saint Vincent's Catholic Medical Center Dr. Caceres specializes in Quality Improvement and Patient Safety , with research on reducing hospital readmissions, developing educational curricula for internal medicine residencies, and addressing medical student wellness. She also explores social media impacts and infectious disease policy . Her recent publications highlight trends in opioid overdose mortality , medical student wellbeing , cyberbullying , vaccine hesitancy , and innovative discharge protocols . These works span public health, clinical research, and educational interventions. Scientific Awards 2023 Faculty Talon Leadership Award, FAU 2023 Michael L. Friedland Educational Leadership Award, FAU Medicine 2021 Palm Beach County Medical Society Heroes in Medicine Finalist 2019 Leonard Tow Humanism in Medicine Award 2016 Gold Humanism Honor Society Inductee 2014 University of Miami Teaching/Leadership Award 2011 Project Access Provider of the Year Dr. Caceres mentors medical students and residents in scholarly work, including peer-reviewed publications and national presentations. She also leads community initiatives like the Run for the Health of It, a 5K charitable event in Palm Beach County.

Wenhong Chenمشاهده پروفایل

استاد

• Digital Media Technologies
• Sociology
• Media Studies
• +۷ مورد دیگر

Dr. Wenhong Chen is a Professor of Media Studies and Sociology at the University of Texas at Austin's College of Liberal Arts. She holds the Distinguished Scholar title at the Robert Strauss Center for International Security and Law and serves as Vice Chair of the Global Communication & Social Change Division at the International Communication Association. PhD in Sociology, University of Toronto SSHRC Postdoctoral Fellow, Duke University Her research examines digital media technologies in entrepreneurial/organizational contexts, focusing on digital inequalities, privacy, social capital, and US-China AI policy dynamics. Funded by institutions like Pew Internet, Ford Foundation, and Woodrow Wilson Center, her work bridges communication, sociology, and technology policy. Key article trends include: network power in China's media industry, digital inequality frameworks, privacy implications of health apps, transnationalism in digital governance, and the evolving role of social capital in technology adoption. President’s Associates Teaching Excellence Award (2023) Barry Sherman Teaching Award (2022) Provost’s Teaching Fellow (2021-2024) Dr. Chen has secured grants from Pew Internet, Ford Foundation, and the Social Sciences and Humanities Research Council of Canada. She previously co-founded UT Austin's Center for Entertainment and Media Industries (2018-2023) and leads a current project analyzing US-China AI policy impacts on tech entrepreneurship.

Stephen T. Wongمشاهده پروفایل

استاد

• Biological and medical imaging
• Bioinformatics
• Systems biology
• +۹ مورد دیگر

Stephen T. Wong holds the John S. Dunn Presidential Distinguished Chair in Biomedical Engineering and serves as Professor of Radiology and Medicine with Tenure and Chief of Medical Physics at Houston Methodist. He maintains professorships across multiple prestigious institutions including Weill Cornell Medicine (Radiology, Neurosciences, Pathology and Laboratory Medicine), Texas A&M University, Baylor College of Medicine, University of Texas MD Anderson Cancer Center, Rice University, University of Texas Health Houston, and University of Houston. Weill Cornell Medicine: Professor of Computer Science and Bioengineering in Radiology (since 2008), Pathology and Laboratory Medicine (since 2010), and Neuroscience (since 2012) Houston Methodist: John S. Dunn Presidential Distinguished Chair in Biomedical Engineering Academic leadership: Director of multiple research centers including Ting Tsung and Wei Fong Chao Center for BRAIN and AI in Innovative Medicine lab Dr. Wong's research employs a systems-based approach integrating engineering with biology and medicine to elucidate disease mechanisms. His laboratory focuses on discovering novel drugs and biomarkers while developing advanced diagnostic and therapeutic devices, with particular emphasis on cancer, neurological disorders, and metabolic diseases. Current projects target micro- and macroenvironments of cancer and Alzheimer's disease, apply spatial and systems biology methods for drug discovery, create label-free point-of-care molecular diagnostics, and develop AI applications for stroke triage and treatment. His publication portfolio demonstrates consistent growth over three decades, with over 500 peer-reviewed papers and five books. Recent work shows strong emphasis on artificial intelligence applications in medical imaging, cancer therapeutics, and neurological diagnostics, with multiple 2025 publications featuring multimodal AI approaches for hepatocellular carcinoma, lung cancer interventions, tumor evolution, brain imaging, and thyroid nodule characterization. Fellowships: IEEE, AIMBE, IAMBE, ACMI, AMIA, Optica, and AAIA Honors: AIIA Fellow (2024), American College of Medical Informatics Fellow (2023), AAIA-Fellow (2021), AIMBE Fellow (2021) Professional: Registered Professional Engineer (PE), Executive education from Stanford, MIT, and Columbia Business Schools Dr. Wong has trained over 170 PhD, MD/PhD, and postdoctoral scholars, with four now holding endowed chairs. His research has received continuous NIH funding for three decades, supporting 35 active and completed projects including DeepStroke+ for AI stroke detection, Alzheimer's disease research, and cancer diagnostics. He has founded multiple research centers including the Division of Shared Resources at Houston Methodist Neal Cancer Center, Translational Biophotonics Lab, and Center for Modeling Cancer Development.

Marylyn D Ritchieمشاهده پروفایل

استاد

• Computational Genomics
• Bioinformatics
• Pharmacogenomics
• +۸ مورد دیگر

Marylyn D Ritchie, PhD, is the Edward Rose, M.D. and Elizabeth Kirk Rose, M.D. Professor at the Perelman School of Medicine, University of Pennsylvania. She concurrently serves as Director of the Institute for Biomedical Informatics, Vice President for Research Informatics for the University of Pennsylvania Health System, Director of the Division of Informatics in the Department of Biostatistics, Epidemiology, and Informatics, and Vice Dean of Artificial Intelligence and Computing. Education: BS in Biology, University of Pittsburgh at Johnstown, 1999 MS in Applied Statistics, Vanderbilt University, 2002 PhD in Statistical Genetics, Vanderbilt University, 2004 Research Interests Dr Ritchie’s work integrates computational genomics , bioinformatics , pharmacogenomics , and systems genomics to advance precision medicine. She develops statistical and machine-learning approaches to dissect epistasis , genetic epidemiology , and evolutionary computation in large-scale biobanks, with a special focus on cardiovascular disease and Alzheimer’s disease . Her group is also pioneering translational informatics methods that incorporate social determinants of health and fairness metrics into AI-driven clinical decision support. Publication Trends In 2025 alone, Dr Ritchie co-authored more than fifteen high-impact studies spanning vision-language models for 3D CT , multi-omics Alzheimer’s risk prediction , fairness in neuroimaging AI , ancestry-specific pharmacogenomics , and cloud-based polygenic risk score platforms . The collective work highlights a shift from single-omics discovery to integrative, equitable, and clinically actionable models across diverse ancestries. Awards & Honors While specific named awards were not detailed in the text, Dr Ritchie’s endowed professorship and multi-institutional leadership roles signify sustained recognition. Grants & Advising Dr Ritchie leads large NIH, foundation, and industry-funded initiatives that support interdisciplinary teams of postdocs, graduate students, and data scientists. Her lab actively mentors trainees from UPenn’s Cell and Molecular Biology and Genomics and Computational Biology graduate groups. Laboratories & Teams She directs the Ritchie Lab (ritchielab.org), which develops open-source visualization tools such as PhenoGram , PheWAS-View , and Synthesis-View for genome-wide and phenome-wide data exploration. The lab operates within the Institute for Biomedical Informatics and collaborates closely with the Penn Medicine BioBank and multiple clinical departments to translate big-data discoveries into precision medicine workflows.

• Pneumonia
• Clinical Decision-Making
• Medical Informatics
• +۳ مورد دیگر

Dr. Barbara E. Jones serves as an Associate Professor in the Department of Internal Medicine at the University of Utah School of Medicine, with dual appointments in Pulmonary and Critical Care Medicine. Her clinical practice spans diverse healthcare settings within the Veterans Affairs system and academic medical centers, focusing on evidence-based adaptation of care to varied patient populations. Her educational background includes: M.D. from University of Washington School of Medicine B.A. in Philosophy from Dartmouth College Master of Science in Clinical Investigation (M.S.C.I) from University of Utah Postdoctoral Fellowship in Pulmonary and Critical Care Medicine at University of Utah Residency in Internal Medicine at University of Utah Dr. Jones' research centers on decision-making processes in pneumonia diagnosis and treatment, employing a tripartite informatics approach combining population analytics, cognitive behavior analysis, and clinical decision support systems. Her work specifically targets reducing diagnostic uncertainty and treatment variation across healthcare systems, with emphasis on equitable care delivery for diverse patient populations. Current projects investigate diagnostic discordance in community-acquired pneumonia, electronic surveillance for hospital-acquired infections, and machine learning applications for diagnostic error detection. Analysis of her 15 most recent publications reveals consistent focus on pneumonia management systems, with emerging emphasis on pandemic impacts on diagnostic practices and AI-driven quality improvement. Her work predominantly utilizes large VA healthcare datasets spanning 100+ medical centers, featuring mixed-methods approaches that integrate quantitative analytics with qualitative clinician experience assessment. Dr. Jones actively contributes to clinical guideline development and medical education through editorial work in major journals including Chest and Annals of Internal Medicine , where she frequently addresses controversies in pneumonia diagnosis and antibiotic stewardship. Her research program operates at the intersection of the University of Utah Health system and the Veterans Affairs national healthcare network, leveraging electronic clinical decision support implementations across diverse hospital settings including rural and critical access facilities. Current initiatives focus on real-time feedback systems for diagnostic performance improvement and automated surveillance for healthcare-associated infections.

Alton Russellمشاهده پروفایل

استادیار

• Decision analysis
• Cost-effectiveness analysis
• Simulation modeling
• +۴ مورد دیگر

Alton Russell is an Assistant Professor at the Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University. He serves as an Affiliate Investigator at the Research Institute of the McGill University Health Centre (RI-MUHC) and is affiliated with the Quantitative Life Sciences program. His research focuses on data-driven decision modeling to optimize healthcare resource allocation through methods in decision analysis, simulation, health economics, and machine learning. PhD in Management Science and Engineering (2021), Stanford University MSc in Management Science and Engineering (2018), Stanford University BSc in Industrial Engineering (Health Systems concentration) and Interdisciplinary Studies (Global Health and Sustainability concentration) (2014), North Carolina State University Russell's research program develops advanced models for blood safety, pediatric kidney disease management, opioid crisis interventions, and infectious disease surveillance. His lab (D3Mod) integrates individual-level data with machine learning and Bayesian statistics to address heterogeneity in patient populations and policy impacts. His work emphasizes open science practices, with publications and code archived via DOIs. Current research themes include personalized donor risk assessment, emergency service optimization, and harmonization of serosurveillance data. Russell teaches advanced decision modeling (EPIB 676) and economic evaluation of health programs (PPHS 528) at McGill.

• Indoor Positioning
• Mobile Computing
• Context-aware Computing
• +۷ مورد دیگر

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, Universidade do Minho, Portugal. He is also a Senior Researcher at the Algoritmi Research Centre and Scientific Coordinator of the Urban and Mobile Computing department at Centro de Computação Gráfica. His research focuses on indoor positioning , mobile and context-aware computing , urban computing , and simulation of wireless networks . Research Interests : Indoor Positioning, Mobile Computing, Urban Mobility, Sensor Networks, Wi-Fi and UWB Localization, Smart Cities. Leadership : Coordinated the Computer Communications and Pervasive Media Group (2008-2016), Scientific Committee member (Director of MAP-tele PhD program in multiple terms), and leads the Master in Telecommunications and Informatics since 2021. Publications : Over 100 papers, including IEEE Transactions and Sensors journal articles, with an h-index of 23 and 2136 citations. Awards : First and second prizes in EvAAL-ETRI Indoor Localization Competitions (2015, 2016, 2017).

• Machine Learning
• Artificial Intelligence
• Medical Imaging
• +۴ مورد دیگر

Elisabeth Wetzer is an Associate Professor in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. Her research bridges artificial intelligence with healthcare applications, focusing on multimodal image registration, bias mitigation in AI, and physics-informed learning models. Current Role: Associate Professor, Machine Learning Group Research Themes: AI ethics, medical imaging, cross-modal representations, algorithmic fairness Her recent work explores technical challenges in PET imaging analysis and societal implications of AI bias. Collaborative projects span medicine, mathematics, and computer science disciplines. Key scientific contributions include: Physics-informed deep learning for PET image data Studies on multi-task learning efficacy in medical classification Research on gender bias in algorithmic systems She actively participates in diversity initiatives and public outreach, including presentations at Nobel laureate conferences and media engagements on AI ethics.

Dustin D. Frenchمشاهده پروفایل

استاد

• Health Economics
• Health Services Research
• Health Policy
• +۴ مورد دیگر

Dustin D. French, PhD, serves as Professor in Ophthalmology and Medical Social Sciences (Determinants of Health) at Northwestern University's Feinberg School of Medicine. His dual appointments bridge clinical ophthalmology with population health research, focusing on healthcare system optimization through economic and policy analyses. Dr. French's educational foundation includes: PhD from The Ohio State University (2001) His research program centers on health economics and outcomes research , with signature expertise in: Comparative and cost-effectiveness methodologies Health informatics and big data applications Health services research and policy evaluation Addressing health disparities in diabetic eye care and rural communities Recent publications reveal a strategic focus on AI-driven clinical decision support and resource optimization, with 2025 studies examining glaucoma identification algorithms, nursing home quality metrics, microhematuria diagnostic pathways, and pediatric obesity interventions. Dr. French's scholarly impact is recognized through prestigious awards: International Society for Pharmacoepidemiology Outstanding Reviewer Award (2016, 2010) Department of Veterans Affairs Distinguished Service Award (2016) International Society for Pharmacoepidemiology Distinguished Article Award (2006) His leadership in health services research extends to mentorship and grant-funded initiatives targeting healthcare quality improvement, particularly in diabetic eye care access for minority populations. Institutional affiliations include the Center for Diabetes and Metabolism, IPHAM's Center for Health Services & Outcomes Research, and NUCATS, where he contributes to translational research infrastructure.