جست‌وجوی استاد و پژوهشگر

• Ocular Cell Biology
• Regenerative Medicine
• Tissue Engineering
• +۹ مورد دیگر

Dr. Carl Sheridan is a Senior Lecturer at the University of Liverpool , affiliated with the Institute of Life Course and Medical Sciences . He is an internationally renowned cell biologist with over 30 years of experience in ocular cell biology, focusing on wound healing, cell transplantation, and regenerative medicine. Honorary Professor in European Masters Programs (IOBA, Spain) Editorial roles: Guest Editor for Journal of Ophthalmology , Section Editor for Eye News , and peer reviewer for 20+ journals Active in organizing international conferences (TERMIS, ISER, EURETINA) His research spans ocular surface, cornea, and retinal pathologies, with a strong focus on: Glaucoma and Age-Related Macular Degeneration (AMD) Stem cell niches and biomaterial applications MicroRNA mechanisms and TGF-beta signaling Development of artificial trabecular meshwork systems Recent publications highlight his work in transcriptomic analysis of trabecular meshwork progenitors, metabolic dysfunction in ageing, and biofabrication techniques for ocular tissue engineering. His team actively collaborates across disciplines in Ophthalmology, Biomedical Science, and Bioinformatics . Scientific honors include: International Glaucoma Association Fellowship (2011) Roy Mapstone Prize (2001) and Mapstone Research Workshop Prize (1997) Dunhill Research Fellowship (2014-2015) Dr. Sheridan supervises postgraduate students across MRes, MSc, and PhD programs , while maintaining active roles in teaching committees and international research collaborations. He is currently developing novel treatments for glaucoma and AMD through interdisciplinary approaches.

Samuel McDonaldمشاهده پروفایل

پزشک-پژوهشگر

• Biomedical Informatics
• Clinical Decision Support Systems
• Machine Learning
• +۷ مورد دیگر

Dr. Samuel McDonald is an emergency physician and Deputy CMIO (Deputy Chief Medical Information Officer) at UT Southwestern . Following a career as a research mathematician at the U.S. Department of Defense, he transitioned to medicine and earned a master’s degree in Biomedical Informatics from UT Southwestern. His work focuses on integrating clinical decision support and machine learning into electronic health records (EHRs) to improve emergency care quality. His research spans Long COVID outcomes , clinical AI applications , emergency department operations , and patient portal engagement . Recent publications highlight trends in predictive modeling for triage optimization, post-viral sequelae , and digital health disparities , particularly in underserved populations. While no explicit scientific awards are listed, his work bridges emergency medicine and health informatics , aiming to create actionable EHR tools.

Ling Chuمشاهده پروفایل

دانشیار

• Medical Informatics
• Ambulatory Care
• Clinical Informatics
• +۳ مورد دیگر

Ling Chu, M.D. serves as Associate Professor in the Department of Internal Medicine at UT Southwestern Medical Center and holds the dual leadership role of Assistant Vice President and Chief Medical Informatics Officer (CMIO) for Ambulatory Services within the UT Southwestern Health System. Her work uniquely bridges clinical practice in primary care with health informatics innovation to optimize patient-centered care delivery. Her educational foundation includes a bachelor's degree in pharmacy and medical degree from the University of Colorado, where she also completed her internal medicine residency training. This combined background in pharmacy and medicine informs her interdisciplinary approach to healthcare systems improvement. Dr. Chu's research program focuses on leveraging health information technology to solve real-world clinical challenges. Key emphases include electronic health record (EHR) optimization, patient portal implementation, predictive analytics for care coordination, and mitigating healthcare disparities through informatics solutions. She maintains board certification in clinical informatics from the American Board of Preventive Medicine, validating her expertise in this specialized domain. Analysis of her 2018-2024 publications reveals consistent thematic threads: pandemic impacts on preventive care, EHR usability enhancements, and standardized clinical phenotyping using SNOMED CT hierarchies. Her work demonstrates strong translational focus—converting informatics research into practical tools for ambulatory settings, particularly in no-show prediction, patient recruitment equity, and clinical workflow optimization. In her administrative capacity, Dr. Chu directs informatics strategy across UT Southwestern's ambulatory network, driving initiatives that connect frontline clinical operations with information technology infrastructure. Her leadership within the William T. and Gay F. Solomon Division of General Internal Medicine positions her at the nexus of academic medicine and healthcare system innovation.

Bo Wold Nilsenمشاهده پروفایل

پژوهشگر

• Dentistry
• Biomedical Materials
• Occupational Health
• +۴ مورد دیگر

Bo Wold Nilsen is a researcher affiliated with the Faculty of Health Sciences at UiT The Arctic University of Norway . His work focuses on the safety and biological impacts of polymer-resin based dental materials (PRMs), particularly methacrylates, with emphasis on exposure assessment and occupational health for dental personnel. Education: Completed doctoral research on dental material safety (2018). Research interests span dentistry , biomedical materials , and occupational health , analyzing thermal effects during resin curing, airborne exposure risks, and molecular-level toxicity in cell cultures. His studies address critical clinical challenges such as pulp chamber temperature regulation and biocompatibility of dental composites. Key article trends include: Exposure assessment of methacrylates in dental settings Thermal dynamics during light-curing procedures Material porosity quantification via X-ray tomography Low-dose toxicity mechanisms in polymer resins His work bridges materials science and clinical dentistry, aiming to enhance patient and practitioner safety.

Ted Pedersenمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Word Sense Disambiguation
• +۳ مورد دیگر

Ted Pedersen is a Professor in the Department of Computer Science at the University of Minnesota Duluth, where he is part of the Swenson College of Science and Engineering. He serves as the Study Abroad Advisor for the CS Department and was a member of the UMN AI Task Force from January 2025 to August 2025, where he addressed questions regarding AI use at the University of Minnesota. Dr. Pedersen's research focuses on computational linguistics and natural language processing, with particular expertise in word sense disambiguation, semantic similarity measurement, and biomedical text analysis. His work bridges theoretical computational linguistics with practical applications in healthcare informatics and social media analysis. He has developed several widely-used open-source tools including SenseClusters, WordNet::Similarity, and WordNet::SenseRelate that have become standard resources in the NLP community. His publication record shows a clear evolution from foundational work in semantic similarity and word sense disambiguation toward contemporary applications in social media analysis, bias detection, and multilingual processing. Recent work demonstrates increasing focus on ethical AI considerations, particularly in sentiment analysis, offensive language detection, and news credibility assessment. His research maintains strong connections between theoretical linguistic frameworks and practical computational implementations. Multiple publications in AMIA Annual Symposium Proceedings Extensive work on semantic similarity measures in biomedical contexts Development of open-source NLP tools adopted by the research community Active participation in SemEval shared tasks since 2017 Dr. Pedersen actively mentors students through research opportunities in natural language processing, with current opportunities available for both undergraduate and graduate students. His teaching portfolio includes courses on Computer Ethics, Algorithms, Race and Computing, and advanced Natural Language Processing topics. He has taught consistently since at least 1999, demonstrating a long-standing commitment to computer science education. His laboratory work focuses on developing computational approaches to linguistic problems, with particular emphasis on unsupervised and semi-supervised methods for semantic analysis. Current projects appear to focus on multilingual processing, social media analysis, and ethical considerations in AI systems.

Donald E. Cutlipمشاهده پروفایل

استاد

• Interventional Cardiology
• Clinical Trials
• Vascular Interventions
• +۳ مورد دیگر

Dr. Donald E. Cutlip is a Professor of Medicine at Harvard Medical School , Section Chief of Interventional Cardiology at Beth Israel Deaconess Medical Center , and Chief Medical Officer at Baim Institute for Clinical Research . His career spans academic leadership, clinical trial operations, and cardiovascular device research. MD from University of South Florida Residency in Internal Medicine at University of Connecticut Fellowships in Cardiology and Interventional Cardiology at Beth Israel Hospital Research focuses on clinical trial design for coronary, valvular, and peripheral vascular interventions. He co-founded the Academic Research Consortium (2006), standardizing endpoints for cardiac device trials across academia, industry, and regulatory agencies. Key contributions include: Pioneering clinical event adjudication protocols Developing data safety monitoring frameworks Defining bleeding risk criteria in interventional cardiology Recent publications emphasize drug-coated balloons , cardiogenic shock definitions , and long-term revascularization outcomes . Awards include international recognition for standardizing cardiovascular clinical trial methodologies.

Ramakanth Kavuluruمشاهده پروفایل

استاد

• Biomedical Informatics
• Text Mining
• Information Extraction
• +۳ مورد دیگر

Professor Ramakanth Kavuluru is affiliated with the University of Kentucky , where he holds positions in the Institute for Biomedical Informatics , Center for Computational Sciences , and Markey Cancer Center . His research focuses on Biomedical Informatics , Text Mining , Information Extraction , Biomedical Terminologies , Machine Learning , and Data Mining , contributing to the UN Sustainable Development Goal of Education. Education: Post Doctoral Scholar, Wright State University (2011) Doctor of Philosophy, University of Kentucky (2009) His recent research involves Natural Language Processing (NLP) applications in healthcare, including overdose surveillance , biomedical relation extraction , and COVID-19 recovery programs . Publications demonstrate expertise in large language models , deep neural networks , and clinical data systems . Scientific recognition includes the 2024 Fulbright Scholar award. His grant history shows leadership in National Institute on Drug Abuse and National Library of Medicine projects. Collaborations span 27 grants and 112 research outputs , including work with the National Cancer Institute on cancer prevention initiatives.

• Assistive Technology
• Person-Centered Design
• Disability Studies
• +۵ مورد دیگر

Dr Jean Daly-Lynn is a Lecturer in Psychology within the School of Health Sciences at Ulster University, where she also serves as Director of Interprofessional Education in the Faculty of Life and Health Sciences. Based across the Derry~Londonderry and Jordanstown campuses, she teaches across allied health and healthcare science programmes while leading initiatives that integrate service user perspectives into healthcare education. Her educational background includes a PhD in Person Centred Technology Innovation for Health and Social Care (2023), an MSc in Rehabilitation and Disability Studies from University College Dublin (2008-2010), an MSc in Counselling and Therapeutic Communication (2010-2011), and a BA in Psychology from University College Dublin (2005-2008). Dr Daly-Lynn's research focuses on assistive technology and person-centered innovation for people with disabilities, adopting participatory methods to design, validate, and evaluate technologies that maintain personhood, agency, and citizenship. Her work spans healthcare technology, interprofessional education, and service user involvement, contributing to UN Sustainable Development Goals related to health and wellbeing. Analysis of her 45+ research outputs from 2012-2025 reveals consistent contributions in assistive technology, person-centered design, and interprofessional healthcare education. Her recent publications demonstrate growing impact in areas like inclusive physical education, dementia care technology, and service user involvement frameworks. Best Collaboration Project: AIPEC (2025) Challenging Inequality and Division Prize (2024) Early Career Educator Award (2024) Overall Excellence Award (2025) Dr Daly-Lynn actively supervises research students and collaborates on funded projects including the Innovate UK-funded 'Intelligent Monitoring of Prosthesis conditions In LOwer limb amputees- Advancing Innovation' (2023-2025). She also serves on the Executive Committee of The Cedar Foundation and has previously held research associate positions with Engage With Age and the Cedar Foundation. Her work bridges academic research with practical applications in disability support and healthcare innovation.

Christian Hanshansمشاهده پروفایل

استاد

• Neurophysiology
• Medical Technology
• Infection Prevention
• +۳ مورد دیگر

Prof. Dr. Christian Hanshans is a Professor at Munich University of Applied Sciences (Faculty 06), specializing in medical technology and physiological research. His laboratory (BioMedLab) focuses on light/health interactions and medical innovations. Research Expertise: Neurophysiology (autonomic nervous system) Medical AI/robotics and IoT sensors Infection prevention research Human-centric lighting applications Teaching: He instructs courses across three programs: Optometry: Medical Terminology, Anatomy/Physiology, Pathology, Pharmacology Bioengineering: Human Biology, Medical-Technical Systems, Medical Optics Mechatronics: Medical Imaging, Anatomy/Physiology I/II Active Projects: Art-Glove (EXIST grant, 2024-2025) Puray UV-C Catheter (dual phases: 2023-2025)

Ira Goldsteinمشاهده پروفایل

دانشیار

• Computer Science Education
• Medical Informatics
• Natural Language Processing
• +۲ مورد دیگر

Ira Goldstein serves as Associate Professor at Siena University (formerly Siena College), having progressed from Visiting Assistant Professor (2013-2016) to Assistant Professor (2016-2020) before his current appointment. His academic foundation includes a Ph.D. and MBA from the University at Albany, complemented by post-doctoral work at MIT CSAIL and University at Albany. His educational background features: Ph.D. from SUNY at Albany Master of Business Administration from University at Albany Goldstein's research bridges computer science education and medical informatics. He pioneers problem-based learning techniques for introductory CS courses, emphasizing real-world command-line applications and student engagement. His medical informatics work applies natural language processing to clinical text analysis, including smoking status identification and obesity prediction. Recent scholarship integrates mindfulness practices into emotional intelligence education for online and in-person learning environments, reflecting his commitment to holistic student development. Publication trends reveal sustained focus on CS pedagogy (70% of recent works) with medical NLP as a secondary thread. His educational research consistently addresses practical implementation challenges, while medical studies demonstrate methodological rigor in clinical text mining. Both strands share emphasis on real-world applicability, mirroring his teaching philosophy of connecting theory to practice. Key recognitions include: Upsilon Pi Epsilon Computer Science Honor Society (2017) SAANYS Leadership and Support Award (2007) Beta Gamma Sigma Business Honor Society (2004) Goldstein mentors students through course-based projects and develops high school CS teacher programs via university-school partnerships. His grant activity focuses on educational outreach initiatives, particularly the model for connecting colleges with local high schools. He actively contributes to conferences like SIGCSE and AMIA, translating research into practical teaching frameworks. As an engaged community member, he participates in Siena's academic ecosystem through committee work and innovative course development, maintaining his philosophy that learning requires active application beyond passive knowledge reception.

• Translation and Interpreting
• English for Specific Purposes
• Legal Discourse
• +۷ مورد دیگر

Giuliana Garzone serves as Associate Professor of English at IULM University in Milan, where she has established a distinguished career in translation studies, specialized discourse analysis, and intercultural communication. Her academic profile reflects deep expertise in bridging theoretical linguistics with practical applications across legal, medical, and business contexts. Her research focuses on translation and interpreting methodologies, English for Specific Purposes (ESP), legal discourse structures, and the application of text linguistics to professional communication. She investigates how digital platforms transform genre conventions, particularly examining LinkedIn professional networks, surrogacy discourses, and medical communication. Her work consistently addresses intercultural dimensions in management communication and technological impacts on language teaching, especially in phonetics and phonology. Recent publications demonstrate a clear trajectory toward analyzing digital communication ecosystems, with significant contributions to understanding surrogacy discourses across biomedical, legal, and social media contexts. Her scholarship reveals how professional genres evolve on platforms like LinkedIn while maintaining core communicative functions, and how specialized knowledge transfers between scientific, legislative, and public spheres. Garzone actively contributes to academic discourse through editorial work on specialized journals and edited volumes addressing genre theory, professional communication, and cross-cultural mediation. Her research program integrates corpus linguistics, discourse analysis, and sociolinguistic approaches to examine real-world language use in increasingly digitalized professional environments.

Ludger Jansenمشاهده پروفایل

دانشیار

• Metaphysics
• Ontology
• Social Ontology
• +۸ مورد دیگر

Professor Ludger Jansen is an Associate Professor of Philosophy at the University of Rostock and Cusanus Professor of Philosophy at the PTH Brixen. With a distinguished academic career spanning over two decades, Jansen specializes in metaphysics, ontology, social ontology, and biomedical ontology, with particular expertise in ancient and medieval philosophy, especially Aristotle and Thomas Aquinas. His academic journey includes research positions at prestigious institutions including the University of Bonn, Saarland University, and various teaching appointments across German and European universities. His research interests encompass Metaphysics/Ontology, Social ontology and social ethics, Biomedical Ontology, Philosophy of Life and Social Sciences, Philosophy of religion, and Ancient and medieval philosophy. Jansen has secured significant third-party funding for projects including "Learning from Nature: Epistemological and Ontological Foundations of Biomimetics" (DFG, 2022-2024), "Formal Causation in Aristotle and in Analytical Metaphysics and Philosophy of Science" (DFG, 2018-2020), and "Good Ontology Design" (DFG, 2010-2013). His extensive publication record demonstrates consistent contributions to philosophical discourse, particularly in formal ontology and its applications across disciplines. Jansen's scholarly work reveals a strong focus on the intersection of classical philosophical traditions with contemporary analytical approaches, particularly in developing robust ontological frameworks applicable to biomedical sciences and social phenomena. His recent publications indicate growing interest in biomimetics, social ontology of collective entities like music bands, and the philosophical foundations of sustainability. Winner of the 2005 scientific prize of the Research Institute for Philosophy Hannover (FIPH) Jansen has successfully led multiple DFG-funded projects and has established himself as a leading figure in formal ontology, particularly through his work connecting Aristotelian metaphysics with contemporary analytical approaches. His upcoming appointment as full professor at the PTH Brixen in September 2025 marks the next stage in his distinguished career. His work bridges theoretical philosophy with practical applications in biomedical informatics and interdisciplinary research.

John A. Lincolnمشاهده پروفایل

استاد

• Multiple Sclerosis
• Neuroimmunology
• Neurodegeneration
• +۷ مورد دیگر

John A. Lincoln, MD, PhD is a Professor of Neurology at The University of Texas Health Science Center at Houston (UTHealth), where he serves as Director of the MRI Analysis Center and Co-Director of the Neurology Residency Program. He joined the Multiple Sclerosis research group at UTHealth in 2011 after previously serving on the faculty at the University of Medicine and Dentistry of New Jersey (UMDNJ) from 2008-2011. Dr. Lincoln earned his Bachelor of Science in Genetics from Texas A&M University in 1992, followed by a Master's in Microbiology and PhD in Immunology from Texas Tech University. He completed his medical degree at Texas Tech University Health Sciences Center in 2002, followed by a Neurology residency at UT Health Science Center at Houston and a Neuroimmunology fellowship at UMDNJ. His research focuses on neurodegenerative processes in multiple sclerosis, with particular emphasis on glymphatic system dysfunction, cerebrovascular reactivity, spinal cord evaluation, and bladder-related neurological complications. Recent publications demonstrate his integration of advanced MRI techniques with machine learning approaches to predict disease severity and understand MS pathology. Analysis of his publication record from 2008-2024 reveals a consistent research trajectory focused on MS mechanisms and clinical manifestations, with increasing emphasis on neuroimaging biomarkers and computational approaches in recent years. His work spans clinical neurology, neuroimmaging, immunology, and rehabilitation aspects of MS. As Director of the MRI Analysis Center, Dr. Lincoln oversees advanced neuroimaging research and clinical applications. His leadership in the Neurology Residency Program demonstrates his commitment to training the next generation of neurologists specializing in complex neurological disorders. Dr. Lincoln's clinical expertise includes diagnosing and managing multiple sclerosis and immune-mediated neurological disorders, with special attention to neurological complications such as bladder dysfunction and trigeminal neuralgia in MS patients. His multidisciplinary approach bridges basic science discoveries with clinical applications to improve patient outcomes.

Shiqiang Taoمشاهده پروفایل

دانشیار

• Neuro-informatics
• Clinical Data Management
• Deep Learning
• +۱ مورد دیگر

Dr. Shiqiang Tao is an Associate Professor at McGovern Medical School, The University of Texas Health Science Center at Houston. His academic journey includes prior roles as an Assistant Professor at the University of Kentucky's Department of Internal Medicine, Lead Developer at Kentucky's Institute of Biomedical Informatics, and Research Associate at Case Western Reserve University's Center for Clinical Investigation. His research centers on neuro-informatics with two primary thrusts: Ontology-driven Clinical Data Management : Involving data integration, cross-cohort querying, visualization, and temporal analysis for healthcare datasets. Deep Learning in Healthcare : Applied to substance use disorder prediction, sleep spindle detection/sub-typing, and postictal generalized EEG suppression (PGES) identification. Dr. Tao's publications (2014–2018) demonstrate consistent focus on medical informatics innovations, including sleep data repositories, clinical trial automation, SNOMED CT mining, and neurotechnology interfaces. His work emphasizes scalable data solutions and ontology-based frameworks.

James Hicksمشاهده پروفایل

استاد

• Single Cell Genomics
• Cancer Research
• Liquid Biopsy
• +۵ مورد دیگر

Dr. James Hicks serves as Professor of Research in the Department of Biological Sciences at the University of Southern California's Dornsife College of Letters, Arts and Sciences, and as Deputy Director of the Convergent Science Institute in Cancer (CSI-Cancer) at the USC Michelson Center. A pioneer in single cell genomics and translational cancer research, Dr. Hicks focuses on breast and prostate cancer through the development of high-content single cell assays to understand cancer's spatial and temporal evolution in the human body. Trained initially at the University of Oregon, Dr. Hicks built his career through research and faculty appointments at Cornell University and Cold Spring Harbor Laboratory before joining USC in 2014. His groundbreaking work at Cold Spring Harbor Laboratory enabled routine whole genome analysis of individual cells applied to solid tumor biopsies, establishing him as a leader in the field. At CSI-Cancer, his research expands to systemic diseases including cardiovascular disease, rheumatoid arthritis, and diabetes, addressing challenges of disease evolution under natural and therapeutic pressures. Dr. Hicks' research program represents a unique bridge between academic excellence and corporate entrepreneurship, with a proven track record of translating scientific discoveries into practical applications. His work on liquid biopsy technologies has positioned him at the forefront of cancer diagnostics, with over one hundred scientific papers and patents to his name, alongside multiple founded companies. The Convergent Science Institute under his deputy directorship integrates patient data, model systems, and high-content single cell analysis with advanced machine learning to translate clinical observations into mechanistic understanding of cancer dynamics across cellular, human, and population scales. Analysis of his recent publication record (2024-2025) reveals consistent innovation across multiple cancer types including breast, prostate, lung, pancreatic, and retinoblastoma. His research demonstrates sophisticated integration of single-cell analysis with liquid biopsy approaches, establishing new standards for cancer detection, monitoring treatment response, and understanding tumor heterogeneity. Notably, his work spans from fundamental genomic discoveries to clinical applications, with particular emphasis on developing more sensitive diagnostic methods and understanding the evolutionary dynamics that drive treatment resistance. As Deputy Director of CSI-Cancer, Dr. Hicks plays a critical role in advancing the institute's mission to enhance cancer patient care through convergent science that brings together researchers across disciplines. His leadership extends to the DoD-funded Convergent Science Cancer Consortium, which includes collaborations with Cedars-Sinai, Children's Hospital Los Angeles, and Stanford University, demonstrating his significant impact on the broader cancer research community.