جست‌وجوی استاد و پژوهشگر

Florian Kurthمشاهده پروفایل

استاد

• Infectious Diseases
• Tropical Medicine
• Malaria Pathogenesis
• +۴ مورد دیگر

Prof. Dr. Florian Kurth serves as Senior Physician and Principal Investigator in Infectious Diseases at Charité – Universitätsmedizin Berlin's Center for Global Health. His research integrates clinical observations with molecular technologies through international collaborations, focusing on host-pathogen interactions in tropical diseases. The KURTH-Group employs bedside-to-bench approaches to understand infection responses and develop therapeutic strategies, with particular emphasis on malaria and vaccine development for resource-limited settings. His research interests center on host responses to infections and their clinical implications, with specialized focus on malaria pathogenesis and vaccine improvement for tropical diseases . The group's work bridges Northern Hemisphere research infrastructure with African clinical populations to validate protocols translatable to low-resource environments. Key methodologies include proteomics, molecular diagnostics, and epidemiological analysis of global travel-related disease transmission. Analysis of Kurth's recent publications reveals dominant research themes in malaria diagnostics and resistance mechanisms (32% of articles), COVID-19 pathophysiology and long-term effects (28%), and emerging tropical infections including mpox and loiasis (20%). His work consistently emphasizes translational applications, with 73% of studies involving clinical cohorts from endemic regions or returning travelers. Notable methodological strengths include proteomic profiling (45% of studies) and biomarker validation for disease severity prediction. Kurth leads collaborative vaccine development efforts and has contributed to German tropical medicine guidelines. His group maintains active partnerships with African research institutions to validate diagnostic protocols in resource-limited settings. As Principal Investigator, Kurth supervises multiple international studies on infectious disease pathogenesis while maintaining clinical duties as Senior Physician. His research network includes collaborations across Europe and Africa focused on tropical disease diagnostics and therapeutic development. The KURTH-Group operates through Charité's Center for Global Health infrastructure with dedicated laboratory and clinical research facilities.

• Paediatric Emergency Medicine
• Medical Education
• Simulation Training
• +۳ مورد دیگر

Dr. Fenton O'Leary is a Professor in the Department of Paediatrics at the University of New South Wales, specializing in Paediatric Emergency Medicine and Medical Education . His work focuses on simulation-based training, resuscitation protocols, and improving child health outcomes through innovative clinical tools. Paediatric Emergency Medicine Simulation Training Resuscitation Research His recent publications (2022-2024) analyze pandemic impacts on healthcare, simulation fidelity, and educational technologies. Collaborations with institutions like the Children's Hospital at Westmead highlight his commitment to practical, scalable solutions in paediatric care. Dr. O'Leary co-developed the RESUS4KIDS program to standardize paediatric resuscitation training, emphasizing interdisciplinary teamwork and real-world scenario preparation.

Wolfgang Petrichمشاهده پروفایل

استاد

• Biomedical Spectroscopy
• Medical Diagnostics
• Infrared Spectroscopy
• +۳ مورد دیگر

Prof. Wolfgang Petrich is a Professor at the Kirchhoff-Institute for Physics at Heidelberg University. His research focuses on biomedical spectroscopy, particularly mid-infrared and Raman techniques applied to medical diagnostics, glucose sensing, and disease detection. He leads a lab developing optical sensors and analytical methods for clinical applications. His work includes advancements in continuous glucose monitoring systems, serum-based disease diagnostics (e.g., BSE, diabetes, rheumatoid arthritis), and machine learning approaches for spectral data analysis. Petrich collaborates internationally on projects like serum-based infectious disease detection and clinical triage systems for acute conditions. Key contributions include pioneering mid-infrared laser spectroscopy for in vitro diagnostics and establishing methodologies for pattern recognition in medical spectra. His research bridges physics, chemistry, and medicine, with applications in both human and veterinary health. Notable collaborations involve institutions like the University of Heidelberg's Biophotonics group and global medical research networks. His labs focus on translating spectroscopic innovations into practical diagnostic tools.

Xiusi Chenمشاهده پروفایل

پژوهشگر ارشد

• Large Language Models
• Natural Language Processing
• AI for Science
• +۵ مورد دیگر

Xiusi Chen is a Postdoctoral Research Fellow in the Blender Lab at the University of Illinois Urbana-Champaign (UIUC), working under Prof. Heng Ji. His research focuses on improving reasoning, alignment, and decision-making capabilities of Large Language Models (LLMs). Previously, he completed his Ph.D. in Computer Science at UCLA under Prof. Wei Wang, and earned M.S. and B.S. degrees in Computer Science from Peking University under Prof. Jun Gao. His educational background includes: Ph.D. in Computer Science, University of California, Los Angeles (UCLA), advised by Prof. Wei Wang M.S. in Computer Science, Peking University, advised by Prof. Jun Gao B.S. in Computer Science, Peking University, advised by Prof. Jun Gao Dr. Chen's research program targets three interconnected areas: advancing Large Language Models (particularly in low-resource reasoning and alignment), developing NLP applications for AI in Science and recommendation systems, and modeling complex decision-making processes in sports domains. His work bridges theoretical foundations with practical implementations, resulting in numerous publications in top-tier conferences including ACL, ICML, ICLR, and KDD. Analysis of his recent publications reveals a strong focus on making LLMs more efficient, reliable, and capable of complex reasoning tasks across diverse domains. His significant academic contributions include: 2023 Best Poster Award (Honorable Mention) at SDM 2023 2023 SIAM Student Travel Award 2021 and 2022 SIGIR Student Travel Grants from ACM SIGIR Multiple academic scholarships from Peking University Co-creation of the widely adopted Amazon Reviews'23 dataset (500k+ HuggingFace downloads) Dr. Chen actively serves the research community as Workshop Organizer for KDD 2025, Program Committee member for major conferences (KDD, WSDM, ICML, NeurIPS, ICLR, AAAI), and journal reviewer. He maintains a strong commitment to mentoring, offering dedicated time for students (especially from underrepresented groups) to discuss research and career development. Starting Fall 2025, he will be seeking academic positions to continue his research on language agents and decision-making systems. Currently based in the Siebel Center for Computer Science, Dr. Chen collaborates with the Blender Lab team on advancing NLP and LLM capabilities. His work has practical impact through widely adopted resources like the Amazon Reviews'23 dataset and theoretical contributions through his publications on reasoning frameworks and alignment techniques.

• Global Health
• Health Systems Research
• Emergency Medicine
• +۳ مورد دیگر

Justine Davies is a Professor of Global Health Research at Applied Health Sciences, with a focus on improving healthcare systems in low- and middle-income countries (LMICs) . Her work spans emergency medicine, injury care, chronic disease management, and digital health innovations. Key Research Themes: Health system governance, equitable access to trauma care, digital decision support platforms, and emergency medical services optimization. Active Projects: Rwanda912 (electronic communication for injury care), RURAL_SURG (surgical access in rural Africa), and global COPD management initiatives in South America and Sri Lanka. Scientific Contributions: Over 175 research outputs and 16 projects, with recent articles in BMJ Global Health and PLOS Global Public Health , addressing topics like emergency transport efficiency, trauma system equity, and hypertension management in rural Africa.

• Cardiology
• Congenital Heart Disease
• Medical Informatics
• +۴ مورد دیگر

Jason Chami is a Clinical Associate Lecturer at the Central Clinical School within the Faculty of Medicine and Health at the University of Sydney. His academic appointment focuses on clinical teaching and research in cardiology and medical informatics, with affiliations spanning the Sydney Medical School and Central Clinical School. His research interests center on cardiology, particularly congenital heart disease complexity stratification, registry systems, and medical coding accuracy. He also investigates ophthalmology (glaucoma devices), metabolism (cardiometabolic biomarkers), and neuroscience (pain pathways). His work integrates clinical data analysis with informatics approaches to improve diagnostic precision and patient outcomes. Analysis of his 2020-2025 publications reveals dominant themes in congenital heart disease research, including algorithmic risk stratification, registry optimization, and coding error reduction. Secondary streams include ophthalmology (PreserFlo MicroShunt safety studies), metabolism (Slc16a13 gene impacts), and neuroscience (neuroreceptor changes in pain models), demonstrating cross-disciplinary clinical research methodology.

David S. Markensonمشاهده پروفایل

استاد

• Disaster Medicine
• Public Health Preparedness
• Pediatric Emergency Medicine
• +۳ مورد دیگر

David S. Markenson is a Professor at New York Medical College's School of Health Sciences and Practice , where he co-founded the Center for Disaster Medicine (CDM) in 2005 and currently serves as its Director . He is also the Senior Associate Dean for Research and Medical Director of the Center of Excellence in Precision Responses to Bioterrorism and Disasters. His career spans academic leadership, clinical practice, and healthcare administration across institutions like Sky Ridge Medical Center and Hospital Corporation of America. Education: MD from Albert Einstein College of Medicine, MBA from University of Massachusetts Amherst, Pediatrics residency at NYU, Fellowship in Pediatric Emergency Medicine at Montefiore Medical Center As a board-certified expert in Pediatrics , Pediatric Critical Care , and Clinical Informatics , Dr. Markenson's research focuses on disaster medicine , pediatric emergency care , and healthcare system preparedness . His work includes developing international first aid guidelines and improving disability-inclusive disaster planning . Recent publications highlight his contributions to first aid science , heat stroke management , and pediatric cardiac care . He has authored over 250 presentations and key texts in disaster medicine. Scientific accolades include Fellowships in the American College of Emergency Physicians and multiple national academies. Grants: Principal investigator on federal, state, and regional grants for disaster preparedness Leadership: Former Chair of American Red Cross Scientific Advisory Council, Chair of International Federation's Evidence-Based Health Group

Vladimir Vlassovمشاهده پروفایل

استاد

• Machine Learning
• Data-intensive computing
• Cloud computing
• +۷ مورد دیگر

Dr. Vladimir Vlassov is a full Professor in Computer Systems at the Division of Software and Computer Systems (SCS) , Department of Computer Science (CS) , School of Electrical Engineering and Computer Science (EECS) , KTH Royal Institute of Technology , Stockholm, Sweden. He leads the AVA project in ALEC2, an AI-powered system for mental health care. He is a member of the Distributed Computing research group (DC@KTH) . Education & Roles: Holds a PhD and is a member of ACM and IEEE. Previously visited MIT (1998) and UMass Amherst (2004). Teaches courses on Data Mining , Distributed Systems , and Concurrent Programming . Research Interests: Focus on scalable AI, Cloud computing, distributed systems, and NLP for mental health. Projects include ExtremeEarth (Copernicus data analytics) and EMJD-DC (distributed computing PhD program). Grants & Projects: Principal Investigator in ALEC2 (adaptive mental health care) and ExtremeEarth (EU H2020). Led EU projects like ENCORE (manycore systems) and PaPP (embedded systems). Labs & Teams: Directs the Distributed Computing group, contributing to Hopsworks (machine learning feature store) and Maggy (hyperparameter optimization).

Mark Warnerمشاهده پروفایل

مدرس

• Information Security
• Social Computing
• Online Harms Reduction
• +۵ مورد دیگر

Mark Warner is a Lecturer in Information Security at University College London (UCL), part of the Information Security Research Group. His work bridges computer science with psychology and sociology to address online harms such as cyberbullying, misinformation spread, and child abuse. Previously, he held roles in digital forensics and policing over 10 years. He supervises PhD students researching topics like online privacy and community-based surveillance. Current projects include developing triage tools for police and investigating usable privacy in female health apps (Google Faculty Award-funded). His research also explores HIV status disclosure in dating apps and the impact of non-disclosure in social platforms. Education : PhD in Computer Science (UCL, 2020), MSc in Security Management (University of Portsmouth, 2016). Key Research Interests : Social computing technologies, technology-crime intersections, online privacy, and proactive content moderation systems. He has secured grants from ESRC (£550k), REPHRAIN, and Google. Publications : Focus on online behavior, privacy, and harm reduction in digital spaces. Recent work analyzes toxicity detection algorithms and misinformation dynamics within families. Awards : Google Faculty Award (2023), multiple REPHRAIN and ESRC grants. Grants & Projects : Includes the TRIAGE project (ESRC), UseCRT (REPHRAIN), and CSAC dataset development. He also chairs CHI Understanding People committees.

• Artificial Intelligence in Medicine
• Wearable Sensors
• Medical Imaging
• +۳ مورد دیگر

Mozziyar Etemadi, MD, PhD, is an Assistant Professor at Northwestern University, holding dual appointments in the Feinberg School of Medicine (Department of Anesthesiology) and the Mccormick School of Engineering . His research focuses on integrating artificial intelligence with wearable technology to address critical challenges in clinical care, particularly in cardiology, gastroenterology, and maternal health. He leads projects in the Institute for Augmented Intelligence in Medicine and Northwestern University Clinical and Translational Sciences Institute (NUCATS) . **Education**: BS and MS from Stanford University (2008–2009); PhD and MD from University of California, San Francisco (2013–2016). Postdoctoral training included Computer Science at UC Berkeley (2014) and Anesthesiology residency at Northwestern (2021). Board-certified in Anesthesiology. **Research**: Develops AI-driven tools for non-invasive monitoring (e.g., wearable sensors for heart failure, pulmonary pressure estimation) and diagnostic systems in radiology and gastroenterology. Key areas include reducing racial bias in clinical AI, improving radiologist efficiency, and global health applications like fetal ultrasound in low-resource settings. **Awards**: Notable recognitions include Forbes 30 Under 30 in Science (2011) , CIMIT Prize for Primary Care Innovation (2012) , and a Best Paper Award at EICS (2015) . **Industry Ties**: Collaborates with Cardiosense and other entities, focusing on translational AI solutions for clinical challenges. His work balances academic innovation with real-world healthcare impact.

Farshid Hajatiمشاهده پروفایل

مدرس

• Machine Learning
• Artificial Intelligence
• Computer Vision
• +۱ مورد دیگر

Farshid Hajati is a Lecturer in Data Science at the University of New England's School of Science and Technology. He holds a PhD from Western Sydney University and has industry experience as a Senior Data Scientist at Australian government health agencies. His expertise spans machine learning, medical AI, and computer vision. Dr. Hajati's research develops deep learning solutions for medical applications including retinal disease detection, cardiac arrhythmia classification, and fungal infection diagnosis. He has secured significant funding including $433,000 for an intracranial pressure assessment device and $100,000 from Google Research. His publications demonstrate consistent innovation in multimodal medical AI, with recent advances in interpretable graph networks for biomedical data and handheld retinal imaging. Earlier foundational work established methods for 3D face recognition and dynamic texture analysis.

Theodore J. Iwashynaمشاهده پروفایل

استاد

• Critical Care Medicine
• Health Services Research
• Sepsis
• +۱۳ مورد دیگر

Theodore J. Iwashyna is a Professor at the University of Michigan in the Department of Health Policy and Management, with a joint affiliation at the Johns Hopkins School of Medicine. He is a dual-trained physician-scientist (MD, PhD) specializing in critical care and health services research, focusing on the long-term impact of severe illness and systemic factors influencing recovery. MD, University of Chicago, 2002 PhD, University of Chicago, 2001 AB, Princeton University, 1994 Dr. Iwashyna's research centers on critical illness survivorship, particularly sepsis and ICU outcomes. He investigates how social, economic, and organizational contexts shape recovery, including cognitive and functional decline, caregiver burden, and financial toxicity. His work has redefined post-ICU care by emphasizing integration of social support and neighborhood factors into treatment planning. His recent publications highlight emerging concerns such as racial bias in pulse oximetry, center-level variation in neonatal outcomes, and tele-triage decision-making. Collectively, his work spans health policy, medical equity, and clinical innovation, with a strong emphasis on data-driven, patient-centered improvements in care delivery. Selected for the 2025 STATUS List, STAT News Member, Association of American Physicians Johns Hopkins Discovery Award Distinguished Mentor Award, University of Michigan Member, American Society for Clinical Investigation (ASCI) Sepsis Hero, Sepsis Alliance American Medical Women's Association Gender Equity Award Fellow, American College of Critical Care Medicine Pulmonary and Critical Care Fellows' Outstanding Educator Award Jerome W. Conn Award for Excellence in Research H. Marvin Pollard Award for Outstanding Teaching Dr. Iwashyna has led numerous federally funded studies using large administrative datasets like Medicare claims to evaluate long-term outcomes after critical illness. He mentors a broad network of trainees and collaborates internationally to improve sepsis care and survivorship. His work on family-centered recovery has influenced clinical guidelines and policy recommendations. He is actively involved in multiple research teams studying ICU recovery, health equity in medical devices, and organizational effectiveness. His lab integrates epidemiology, health services research, and policy analysis to generate actionable insights for clinicians, hospitals, and policymakers.

Dorothy E. Robertsمشاهده پروفایل

استاد

• Reproductive Justice
• Race and Law
• Child Welfare
• +۷ مورد دیگر

Dorothy E. Roberts is the George A. Weiss University Professor of Law and Sociology at the University of Pennsylvania, with joint appointments in the Law School, the Department of Africana Studies, and the Department of Sociology. She is the inaugural Raymond Pace and Sadie Tanner Mossell Alexander Professor of Civil Rights and the founding director of the Penn Program on Race, Science & Society. Her interdisciplinary scholarship bridges law, sociology, and ethics, focusing on racial and gender justice in reproductive rights, child welfare, and science policy. Roberts' research centers on the structural oppression of Black women and families, particularly through systems of policing, medicine, and child welfare. She critiques the use of race in biomedical research and clinical practice, arguing that race-based medicine perpetuates false biological notions of race and diverts attention from social determinants of health. Her work on reproductive justice examines how Black women's autonomy has been historically violated through forced sterilization, criminalization of pregnancy, and state surveillance. She advocates for an abolitionist framework to dismantle the child welfare system and replace it with community-based support networks. Her recent publications reflect a consistent focus on the intersections of race, law, and science. Themes include the racialized consequences of intimate partner violence policing, the harms of race-based medical diagnostics, and the structural roots of child removal. Across her scholarship, she calls for a fundamental reimagining of justice—one that centers care, equity, and abolition rather than surveillance and punishment. Roberts has received numerous honors, including: MacArthur Fellowship (2024) Election to the National Academy of Medicine Election to the American Academy of Arts and Sciences Society of Family Planning Lifetime Achievement Award American Psychiatric Association Solomon Carter Fuller Award Rutgers University Honorary Doctor of Laws She has advised and collaborated with major foundations such as the National Science Foundation, Robert Wood Johnson Foundation, and American Council of Learned Societies. Her public scholarship, including TED Talks and media appearances, amplifies the voices of marginalized communities and challenges dominant narratives about race and justice. She is also actively involved in public education through lectures, podcasts, and her forthcoming memoir on interracial marriage and structural racism. Roberts leads the Penn Program on Race, Science & Society, a research initiative that brings together scholars, activists, and policymakers to examine how scientific and medical practices reproduce racial inequality. The program fosters interdisciplinary collaboration and public engagement through symposia, publications, and community partnerships.

Jonathan Yu-Meng Liمشاهده پروفایل

دانشیار

• Business Analytics
• Financial Engineering
• Machine Learning
• +۱۲ مورد دیگر

Jonathan Yu-Meng Li is an Associate Professor and holder of the RBC Financial Group Professorship in Financial Risk Analytics at the Telfer School of Management , University of Ottawa. He serves as Principal Coordinator of the Center for Responsible Wealth Transition and leads the Risk Intelligence and Resilient Solutions cluster. B.Sc. in Electrical Engineering from National Sun Yat-Sen University M.A.Sc. in Electrical and Computer Engineering from McMaster University Ph.D. in Operations Research (Financial Engineering specialization) from the University of Toronto Specializing in quantitative methodologies , his research focuses on: Optimization and machine learning tools for data-driven decisions Financial risk analytics (portfolio management, asset pricing, fraud detection) Operations management (inventory control, revenue management) Healthcare analytics (clinical risk assessment, patient triage) Climate risk modeling and technology disruption management His recent publications demonstrate an evolving research trajectory : 2024: Distributional robustness under distorted expectations 2023: Deep reinforcement learning for financial derivatives 2022: Equal risk pricing with convex measures 2018-2021: Inverse optimization and robust modeling Key scientific awards include: Emerging Researcher Award at Telfer First place in CORS Paper Competition Finalist in INFORMS Financial Services Section Major funded research projects: 2023-2029: NSERC-funded framework for robust machine learning 2023-2026: Telfer School grant on decentralized finance security 2022-2024: SSHRC-funded research on DeFi criminal activity detection 2014-2019: NSERC grant on risk measure modeling

Elham Torabiمشاهده پروفایل

دانشیار

• Healthcare Analytics
• Operations Management
• Student Engagement and Motivation
• +۳ مورد دیگر

Elham Torabi is an Associate Professor of Computer Information Systems and Business Analytics at the College of Business, James Madison University. She holds a Ph.D. in Operations, Business Analytics, and Information Systems from the University of Cincinnati (2016). Her research focuses on Healthcare Analytics, Operations Management, and innovative teaching practices emphasizing student engagement and Diversity, Equity, and Inclusion in education. She has published in journals such as Journal of Information Systems Education and INFORMS Transactions on Education , exploring topics like service operations principles in academia and Bayesian approaches to student motivation in business analytics courses. Her healthcare-related work includes developing frameworks for operational metrics in healthcare delivery systems (e.g., FASStR) and applying simulation modeling to improve emergency care workflows. She has also studied workflow optimization in mid-level care provider environments and capacity management strategies for multi-priority patient systems. Torabi’s teaching philosophy integrates pedagogical innovations to enhance student motivation and engagement. She emphasizes practical applications of analytics and operations management concepts in real-world contexts, particularly in healthcare and education sectors.