جست‌وجوی استاد و پژوهشگر

• Pediatric Pulmonology
• Asthma Management
• Bronchopulmonary Dysplasia
• +۴ مورد دیگر

Concettina (Tina) Tolomeo is the Senior Director of Patient Access at Yale Medicine and a Nurse Practitioner in the Department of Pediatrics at Yale School of Medicine. She holds a DNP in Clinical Leadership (Case Western Reserve University, 2008), an MBA (Southern Connecticut State University, 2020), and advanced nursing degrees from Southern Connecticut State University (MSN 2002, BSN 1989). A certified Asthma Educator and Family Nurse Practitioner, she has been with Yale’s Pediatric Respiratory Medicine section since 1995. Education: BSN: Southern Connecticut State University (1989) MSN: Nursing Administration and Family Nurse Practitioner (2002) DNP: Clinical Leadership (Case Western Reserve University, 2008) MBA: Southern Connecticut State University (2020) Her research focuses include asthma education strategies, pediatric respiratory care, bronchopulmonary dysplasia (BPD), and patient self-management. She has published extensively on asthma management, inhalation therapy, and quality improvement in pediatric settings. Notable contributions include a 2023 review on biologic therapies for severe pediatric asthma and a 2024 series on optimizing asthma education practices. Professional Recognition: 2008 Association of Asthma Educators Asthma Educator Award 2006 AAE Outstanding Service Award 2001 Sigma Theta Tau Excellence in Nursing Practice Award Her clinical work emphasizes family-centered care for pediatric respiratory conditions. She pioneered standardized care pathways for BPD and asthma patients, reducing hospital stays through parent training programs. She also leads Yale Medicine’s efforts in patient access optimization and telehealth integration. Labs/Teams: Collaborates with the Section of Pediatric Respiratory Medicine and participates in multidisciplinary quality improvement initiatives.

Simrita Singhمشاهده پروفایل

استادیار

• Healthcare Operations
• Data-Driven Optimization
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Simrita Singh is an Assistant Professor in the Department of Information Systems & Analytics at Leavey School of Business. Her research integrates cutting-edge technology, data-driven analytics (e.g., deep learning), and traditional optimization techniques to enhance cost efficiency and access in service systems, with a focus on healthcare and retail operations. Education: B.Tech in Electronics and Communication Engineering from Indian Institute of Technology, Roorkee; M.S. and Ph.D. in Operations Management from The Kellogg School of Management, Northwestern University. Her work explores innovations like computer-aided triage (CADt), clinical decision support systems (CDSS), big data analytics on healthcare claims, digital twins, and personalized connected care. Publications appear in top journals such as PLOS Medicine , Nature Scientific Reports , and BMJ Open , with ongoing reviews in leading management journals. Recent articles highlight her focus on AI integration in healthcare pathways (2024), priority queuing for clinical workflows (2024), Medicaid service access (2022), differential diagnosis modeling (2022), and simulation studies on tuberculosis diagnosis in India (2020, 2019). Her prior experience includes roles as a business analyst at JP Morgan and an independent consultant for Indian educational institutes.

• Orthopedic Surgery
• Trauma Surgery
• Fracture Management
• +۹ مورد دیگر

Mathieu Wijffels is a researcher in the Department of Surgery at Erasmus MC, focusing on orthopedic and trauma surgery. His work integrates advanced imaging techniques and artificial intelligence to improve diagnosis and treatment of fractures, particularly distal radius and rib fractures. His research interests center on improving clinical outcomes in fracture management, with emphasis on nonunion complications, surgical interventions, and the role of AI in radiographic interpretation. Key areas include distal radius fractures, rib fractures, intercostal hernias, and machine learning applications in trauma imaging. The recent publication trends show a strong focus on AI-driven tools for fracture detection and classification, particularly using convolutional neural networks. These studies compare algorithmic performance with human clinicians and explore predictive models for loss of alignment, reflecting a growing integration of data science into orthopedic practice. Though no formal scientific awards are listed, his contributions appear in high-impact journals such as The Journal of Hand Surgery , European Journal of Trauma and Emergency Surgery , and Bone and Joint Journal . Dr. Wijffels has supervised at least two research projects, indicating involvement in mentoring junior researchers or trainees. There is no mention of external grants, but his collaborative work with the Machine Learning Consortium suggests participation in interdisciplinary research initiatives. He is actively involved in a research network applying machine learning to trauma imaging, collaborating with multidisciplinary teams focused on enhancing diagnostic accuracy and surgical planning through AI integration.

• Neurology
• Stroke Research
• Cerebrovascular Diseases
• +۳ مورد دیگر

Prof. Bob Roozenbeek is a Full Professor in the Department of Neurology at Erasmus MC. His research focuses on cerebrovascular diseases, stroke mechanisms, and neurointerventional strategies. He leads projects in predictive modeling for aneurysmal hemorrhage, socioeconomic impacts on stroke outcomes, and advanced imaging techniques like perfusion analysis via digital subtraction angiography. Key research interests include optimizing stroke thrombectomy protocols, carotid stenosis management, and prehospital stroke detection systems. He collaborates internationally on clinical trials such as the ECST-2 study evaluating revascularization therapies. Recent work emphasizes translating imaging innovations into clinical practice and addressing disparities in neurological care outcomes. His 141+ publications span neurosurgery, radiology, and public health domains.

Adam A. Porterمشاهده پروفایل

استاد

• Software Engineering
• Mobile Application Development
• Software Testing and Quality Assurance
• +۳ مورد دیگر

Adam A. Porter is a Professor in the Department of Computer Science at the University of Maryland, affiliated with the University of Maryland Institute for Advanced Computing Studies (UMIACS). He holds a Ph.D. from the University of California at Irvine (1991). His research focuses on software engineering, mobile application development, and empirical studies of software processes. Notable contributions include work on metamorphic testing, software quality assurance, and educational initiatives like the first MOOC on Android development. Education: Ph.D., Computer Science, University of California at Irvine, 1991 Research Interests: Dr. Porter's work spans software testing (e.g., metamorphic testing), mobile application frameworks (Android), and empirical methods to improve software development practices. He emphasizes practical applications, such as improving static analysis tools and exploring human-AI collaboration in intelligence analysis. His research often bridges theory and practice, with contributions to tools like Skoll for distributed quality assurance. Publications: His recent work includes advancements in AI-driven materials modeling, software defect triaging, and metagenomic assembly algorithms. The articles reflect his interdisciplinary approach, combining machine learning with domain-specific challenges in materials science and bioinformatics. Awards: NSF Early Career Award (1995) Dean's Teaching Excellence Award (1995) Senior Member IEEE/ACM (2003/2006) Mobile Learning Fellow (2010) Grants/Advising: He has led projects funded by NSF and industry collaborations, focusing on software testing, mobile systems, and educational platforms. His mentoring includes community outreach programs for underrepresented students. Labs/Teams: Leads research efforts in software engineering methodologies and collaborates on initiatives like the ATAACK Android testbed for cloud-based emulation of mobile systems.

• Emergency Medicine
• Critical Care
• Point of Care Ultrasound (POCUS)
• +۳ مورد دیگر

Pourya Pouryahya is an Adjunct Clinical Associate Professor in Emergency Medicine at Monash University, affiliated with Monash Health. He serves as Director of Emergency Medicine Research (DEMR) at Casey Hospital and Ultrasound clinical lead in the ED. His roles include coordinating the Monash Health fellowship teaching program and Victorian fellowship practice exams. He is also a member of the Australasian College for Emergency Medicine (ACEM) Court of Examiners and Australasian Society of Ultrasound in Medicine (ASUM) CCPU Board. Research interests focus on Point of Care Ultrasound (POCUS), sepsis management, blood gas utility, and violence prevention in emergency departments. His work contributes to UN SDG 3 (Good Health) and SDG 16 (Peace, Justice). Publications emphasize POCUS innovations in critical care, diagnostic challenges in emergency settings, and systemic improvements in healthcare education. No scientific awards are explicitly listed, but his extensive editorial work (e.g., co-editing Decision Making in Emergency Medicine ) highlights academic influence. Leads Monash Emergency Research Collaborative (MERC) and developed Victoria's first hospital-wide sepsis pathway.

Fernanda Bellolioمشاهده پروفایل

استاد

• Geriatric Emergency Medicine
• Systematic Reviews
• Meta-Analysis
• +۷ مورد دیگر

Fernanda Bellolio, M.D., M.S. , is a Professor of Emergency Medicine at Mayo Clinic College of Medicine. She holds primary appointments as a Consultant in the Department of Emergency Medicine, with joint appointments in the Division of Health Care Policy & Research and the Department of Internal Medicine. Her research focuses on geriatric emergency medicine , systematic reviews , clinical guidelines , and pragmatic clinical trials in acute care settings. Education: MD, Pontificia Universidad Catolica de Chile MS, Biomedical Sciences (Translational and Clinical Research), Mayo Clinic Emergency Medicine Residency, Mayo Clinic Senior Research Fellowship, Mayo Clinic Her work emphasizes improving senior care through delirium prevention, goals-of-care discussions, and evidence synthesis. She has secured federal and industry funding for acute condition research, including pragmatic trials and outcomes prediction using electronic health records. Scientific Awards : Kern Health Care Delivery Scholar, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery (2013-2016) Dr. Bellolio mentors over 100 individuals , including medical students, pharmacists, and researchers. She leads multidisciplinary teams in emergency department clinical trials and serves on Mayo Clinic administrative bodies like the Research Finance Subcommittee.

• Emergency Diagnostic Testing
• Emergency Diagnostic Imaging
• Data Science
• +۶ مورد دیگر

Dr. Aaron Kornblith is an Associate Professor of Emergency Medicine and Pediatrics at the University of California, San Francisco (UCSF). He serves as the research lead for the Division of Pediatric Emergency Medicine , co-HEDA PI for the Pediatric Emergency Care Applied Research Network (PECARN) , and site PI for NEXUS . He is also an affiliated faculty member of the UCSF Bakar Computational Health Sciences Institute & Center for Intelligent Imaging . MD from University of Colorado School of Medicine (2009) MS in Clinical & Epidemiological Research (2025) from UCSF Fellowships in Pediatric Emergency Ultrasound and Pediatric Emergency Medicine (2015) Residency in Emergency Medicine (2013) His research focuses on enhancing diagnostic evaluation for injured children using advanced data analytics , AI-enhanced diagnostics , and clinical trial validation . Funded by the NIH , NSF , and Pediatric Device Consortium , his work integrates machine learning and imaging informatics to improve precision medicine in emergency settings. Recent publications (2022-2025) emphasize AI-augmented ultrasound , LLM applications in emergency triage , and pediatric trauma diagnostics . Key funding includes HRSA SPARC grants for machine learning in trauma diagnostics and NIH K23HD110716-01 for AI-enabled point-of-care ultrasound . Notable awards include the 2025 P2 Network Research Innovation Award , multiple teaching honors (2017-2019), and recognition as Top Reviewer in Annals of Emergency Medicine (2022). He leads the Kornblith Data Science Lab at UCSF.

Rosemary Kozarمشاهده پروفایل

استاد

• Endothelial Dysfunction
• Hemorrhagic Shock
• Trauma and Critical Care
• +۱ مورد دیگر

Dr. Rosemary Kozar is a Tenured Professor of Surgery at the University of Maryland School of Medicine . She holds multiple leadership roles including Acting Director of the National Study Center , Co-Director of STAR-ORC , and Director of Translational Research at the R Adams Cowley Shock Trauma Center. Her academic journey includes a PhD in Molecular Physiology and Biophysics from Baylor College of Medicine and surgical training at Temple University and University of Texas Houston . Dr. Kozar's research focuses on endothelial dysfunction after hemorrhagic shock , with particular emphasis on syndecan-1 mechanisms , plasma resuscitation effects , and post-injury coagulopathy . Her work spans both basic science and clinical translation , featuring significant contributions to microRNA regulation in vascular injury and trauma-induced coagulation disorders . Recent publications (2020-2025) demonstrate expertise in hemorrhagic shock biomarkers , endothelial cell repair , and trauma resuscitation strategies . Key themes include extracellular vesicle pathology , genomic responses to injury, and implementation science for trauma care systems. Scientific Recognition : NIH Continuous Funding Since 2002 Multiple Dean's Teaching Excellence Awards NIH R01 Grant Recipient Recipient of Nina Starr Braunwald Award AAST Organ Injury Scale Editor Dr. Kozar actively mentors medical students and serves on national committees including the Coalition for National Trauma Research and Western Trauma Association . She holds editorial roles at Trauma Surgery & Acute Care Open and Journal of Trauma & Acute Care Surgery .

• Ebola Hemorrhagic Fever
• Routine Diagnostic Tests
• Tuberculosis Diagnostics
• +۵ مورد دیگر

Bart K Jacobs is a researcher at the Clinical Trial Centre of the Institute of Tropical Medicine Antwerp, with expertise in infectious disease diagnostics, particularly focusing on tuberculosis, Ebola, and other tropical diseases. His work spans multiple countries including Democratic Republic of the Congo, Ethiopia, Lesotho, and South Africa. His research interests center on diagnostic test evaluation, statistical methods for clinical decision making, and implementation of diagnostic strategies in resource-limited settings. Key areas include latent class analysis, point-of-care testing, computer-aided detection in radiography, and addressing verification and reference standard biases in diagnostic studies. Dr. Jacobs' recent publications (2023-2024) demonstrate a strong focus on tuberculosis diagnostics, with significant work on chest X-ray interpretation algorithms, C-reactive protein testing, and CD4 monitoring for HIV. His methodological expertise in statistical approaches for diagnostic evaluation is evident across multiple publications. His research has been referenced in policy sources, picked up by news outlets, and shared across academic social media platforms, indicating impact beyond academia into public health implementation. Dr. Jacobs has supervised at least one research project and has been involved in a PhD project titled 'Statistical methods to guide clinical decision making in TB' (2020-2023), demonstrating his role in academic mentoring and research leadership.

Qiong-Yi Zhaoمشاهده پروفایل

پژوهشگر ارشد

• Bioinformatics
• Next-Generation Sequencing (NGS)
• Epigenetics
• +۳ مورد دیگر

Dr. Qiong-Yi Zhao is a Research Fellow in Bioinformatics at the University of Queensland (UQ), with a joint appointment at the Queensland Brain Institute (QBI) and the Institute for Molecular Bioscience (IMB). She has over 15 years of experience in bioinformatics and next-generation sequencing (NGS), contributing to the development of NGS platforms like 454, Illumina, and SOLiD. As former leader of QBI's bioinformatics core facility (2012–2022), she specialized in NGS data analysis and custom project programming. Her research focuses on bioinformatics applications in epigenetics, transcriptomics, and neurobiology, with notable work on fear extinction mechanisms, DNA/RNA modifications (e.g., m6A, Z-DNA), and stem cell differentiation. She has authored/co-authored over 40 peer-reviewed publications, including studies in Nature Communications , Nature Neuroscience , and Cell Reports , accumulating 1,525 citations (Google Scholar, 2024). Dr. Zhao’s expertise spans computational methods for transcriptome analysis, regulatory gene discovery (e.g., TRIAGE R package), and collaborative projects in neuroscience and cardiovascular development. She is actively involved in supervising graduate students and has secured funding through grants like the NHMRC Project Grant and Motor Neurone Disease Research Institute of Australia Inc. Her work bridges computational biology with experimental neuroscience, addressing fundamental questions in memory, epigenetic regulation, and disease mechanisms.

• Paediatrics
• Infectious Disease
• Child Health
• +۳ مورد دیگر

Michael Levin is a Professor of Paediatrics and International Child Health at Imperial College London's Faculty of Medicine. He leads research in infectious disease diagnosis/treatment, particularly in meningococcal disease, tuberculosis, and Kawasaki disease. Key roles include EU-funded DIAMONDS project (€22.5M) for rapid infection diagnostics and PERFORM study on RNA transcriptomics. Clinically, he works as a paediatric infectious diseases consultant. Education: MBChB from University of Witwatersrand (1975), PhD from University of London (1990). Professional memberships include Fellow of the Academy of Medical Sciences (FMedSci) and Royal College of Physicians (FRCP). Awards include MBE (2017) for contributions to paediatric infectious disease research. Research focuses on: 1) Host-response biomarkers for bacterial/viral infections, 2) Kawasaki disease genetics, 3) Tuberculosis diagnostics, 4) Sepsis criteria development. His labs have pioneered RNA-based diagnostic systems using transcriptomic profiling. Recent articles highlight work on pediatric sepsis criteria (JAMA 2024), MIS-C biomarkers (Nature Medicine 2023), and Omicron variant long-COVID outcomes (Lancet 2023). He collaborates globally on projects like the Phoenix criteria validation and EU-funded biomarker studies. Awards: MBE (2017), FMedSci (1998), €22.5M EU grant (2020). Active in clinical trials and diagnostic tool development, with over 3,800 publications indexed in PubMed. Supervises research teams focused on translational medicine and global child health challenges.

Spyros Masourosمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Clinical Sciences
• Mechanical Engineering
• +۳ مورد دیگر

Spyros Masouros is an Associate Professor in Injury Biomechanics at Imperial College London's Department of Bioengineering, part of the Faculty of Engineering. He serves as Associate Director (Research) at the Royal British Legion Centre for Blast Injury Studies and directs the Injury & Reconstruction Test Suite. His work focuses on musculoskeletal trauma, particularly in the lower extremities, pelvis, and spine, combining clinical, experimental, and computational methods to improve injury prevention, treatment, and rehabilitation strategies. Key affiliations include the Centre for Blast Injury Studies, Musculoskeletal Medical Engineering Centre, Neuromuscular Rehabilitation Technology Network, and Wound Healing and Regeneration Network. His research spans biomechanical modeling of blast injuries, material characterization for protective systems, and clinical applications in trauma care. Recent publications emphasize pelvic binder efficacy, spinal injury mechanisms, and pressure ulcer prevention. He collaborates across disciplines to address military and civilian trauma challenges, with a focus on translational research and technological innovation in medical devices and protective systems.

• Artificial Intelligence
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

Dr. Victoria J Hodge is a Research Fellow in the Department of Computer Science at the University of York, affiliated with the Centre for Assuring Autonomy (CfAA). She holds a PhD in Computer Science from the University of York and has industry experience in software architecture for medical diagnostics and industrial anomaly detection systems. Her research focuses on artificial intelligence (AI), anomaly detection, machine learning, and safety assurance for autonomous systems, particularly in robotics. Her work emphasizes through-life safety assurance of AI-driven autonomous systems, including robotics platforms operating in uncertain environments. She has authored over 70 publications across disciplines like AI, machine learning, robotics, and safety engineering. Notable projects include SCALOFT (drone safety analysis) and ASUMI (UAV safety assurance in mining). Her research trends show a strong emphasis on interdisciplinary applications of AI, with recent focus on autonomous systems in high-risk environments (e.g., mining, healthcare) and real-time decision support systems. Collaboration with industry ensures practical impact in domains like medical diagnostics and industrial automation.

Ioannis Stefanakosمشاهده پروفایل

عضو هیئت علمی

• Formal Verification
• Robotics Safety
• Autonomous Systems
• +۳ مورد دیگر

Ioannis Stefanakos is a Research Associate at the Department of Computer Science, University of York, affiliated with the High Integrity Systems research group. His work focuses on formal verification of autonomous systems, safety-critical robotics, and software performance analysis. Current projects include assurance frameworks for drones, adaptive reinforcement learning in healthcare robotics, and probabilistic modeling of software performance. Recent research emphasizes interdisciplinary applications in UAV systems, medical decision support systems, and collaborative manufacturing robots. No academic awards are listed, though his work has been published in top-tier conferences. Advising and grants details are not explicitly stated, but his involvement in doctoral forum papers suggests potential supervision roles in software systems research.