جست‌وجوی استاد و پژوهشگر

• Cardiology
• Cardiovascular Disease Prevention
• Electrophysiology
• +۴ مورد دیگر

Dr. Aravinda Thiagalingam serves as a Senior Lecturer at the Westmead Clinical School of the University of Sydney and is a Principal Investigator at the Westmead Applied Research Centre. His clinical specialty is Cardiology, with extensive research focused on cardiovascular disease prevention and management through innovative digital health approaches. Dr. Thiagalingam's research interests primarily center around cardiovascular disease prevention, particularly through mobile health interventions and digital technologies. His work demonstrates a strong emphasis on text messaging programs for cardiovascular disease management, atrial fibrillation treatment, diabetes care, and hypertension monitoring. He has pioneered research in ECG-gated retinal vessel analysis as a novel cardiovascular risk assessment tool and has explored clinician-developed applications to improve adherence to evidence-based guidelines. His publications reveal a consistent focus on leveraging technology to enhance patient outcomes in high-risk cardiovascular populations. Analysis of his recent publications shows a clear trajectory toward integrating artificial intelligence and machine learning into cardiovascular risk prediction and patient management. His work spans clinical trials of digital interventions, systematic reviews of emerging technologies, and novel applications of existing medical devices. The research demonstrates particular strength in mobile health applications for chronic disease management, with significant contributions to understanding how digital tools can improve medication adherence, patient education, and self-monitoring in cardiovascular care. Dr. Thiagalingam has supervised research students including Shehane Mahendran, whose project focuses on cardiovascular disease prevention in high-risk populations. His collaborative network is extensive, frequently working with researchers like Chow C, Kovoor P, and Thiagalingam A on various cardiovascular research initiatives. His work has been supported by numerous research grants focused on digital health interventions for cardiovascular disease management. As Principal Investigator at the Westmead Applied Research Centre, Dr. Thiagalingam leads a research team focused on developing and evaluating innovative approaches to cardiovascular disease prevention and management. His laboratory work includes testing novel medical devices, developing digital health applications, and conducting clinical studies to evaluate the effectiveness of technology-based interventions in real-world settings.

Sebastian Steinمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Ubiquitous Computing
• Machine Learning
• +۲ مورد دیگر

Dr. Sebastian Stein is a Research Fellow in the School of Computing Science at the University of Glasgow, working within the Inference, Dynamics and Interaction Research Group. His current research focuses on the EPSRC-funded project 'Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics' under Professor Roderick Murray-Smith. With a background spanning human-computer interaction, ubiquitous computing, and machine learning, his research integrates computer vision, action recognition, and intelligent interactive systems. He holds a PhD in Computing from the University of Dundee and a Diplom in Computer Science and Electrical Engineering from TU Dortmund. Stein's publications demonstrate expertise in multimodal sensing systems, rehabilitation engineering, probabilistic modeling interfaces, and intelligent transportation solutions. Recent work includes EEG-based pain biomarkers, interactive Bayesian models, and COVID-19 containment strategies through control theory. His technical contributions span healthcare applications like spinal cord injury rehabilitation, neuroprosthetics development, and urban computing platforms for built environment analysis.

• Statistics
• Biostatistics
• Meta-Analysis
• +۳ مورد دیگر

Haben Michael is an Assistant Professor and Director of the Stat MS & PhD Graduate Admissions program at the University of Massachusetts Amherst. He holds a PhD in Statistics from Stanford University and is affiliated with the Department of Mathematics and Statistics. His primary research focuses on statistical methodology, particularly in meta-analysis, publication bias correction, and AUC analysis. He also develops computational tools for statistical inference, including an R package addressing Begg's test for publication bias. Education: PhD in Statistics, Stanford University. Research interests include: Statistical methodology for publication bias correction Meta-analytical techniques Diagnostic testing and AUC estimation Time-varying treatment effects in causal inference Recent work emphasizes improving statistical methods for clustered data analysis, bias adjustment in meta-studies, and robust estimation in marginal structural models. His programming repositories include contributions to correcting Begg’s test, demonstrating practical applications of his theoretical research. Affiliations: Department of Mathematics and Statistics, University of Massachusetts Amherst. Office located at LGRT 1336.

Sheryl A. Sorbyمشاهده پروفایل

استاد

• Engineering Education
• Spatial Visualization
• Composite Materials
• +۲ مورد دیگر

Sheryl A. Sorby is Professor Emerita of Mechanical and Aerospace Engineering at Michigan Technological University, with current appointments in engineering education. She holds B.S. in Civil Engineering (1983), M.S. in Engineering Mechanics (1986), and Ph.D. in Mechanical Engineering-Engineering Mechanics (1991) from Michigan Tech. Her research focuses on engineering education innovation, spatial visualization development, and advanced composite materials. Key contributions include: Pioneering spatial visualization training for engineering students Developing assessment tools for engineering self-efficacy Designing affordable prosthetic devices (Jaipur Foot) Implementing curriculum reforms to improve STEM retention Studying cognitive factors in engineering problem-solving Professor Sorby has led over $14 million in educational grants and served as program director at NSF. Her spatial skills research earned the Betty Vetter Award and ASEE Fellowship. Current work continues to focus on spatial cognition interventions in K-12 and undergraduate education.

• Cognitive Science
• Virtual Reality
• Pediatrics
• +۵ مورد دیگر

Veronica Weser, PhD, is a Research Scientist in General Pediatrics at Yale School of Medicine and a member of the Center for Immersive Technologies. She holds a PhD in Cognitive Psychology from the University of Virginia, with postdoctoral training in VR applications. Her work focuses on leveraging virtual reality (VR) and gaming technologies to address public health challenges, particularly in adolescent health and pediatric care. Education: PhD in Psychology, University of Virginia (2018) MA in Psychology, University of Virginia (2016) BA in Cognitive Science, Vassar College (2012) Research Interests: Dr. Weser specializes in applying VR to create impactful health interventions. Key areas include: E-cigarette prevention through immersive gaming HIV/STI prevention for Black adolescent girls Support systems for adolescents with cancer Neonatal infection control strategies Publications: Her 15+ peer-reviewed articles span VR navigation optimization, tool embodiment theories, and health behavior interventions. Recent work includes evaluating VR-based support groups for cancer patients and analyzing barriers to infection prevention in neonatal units. Awards: 2019 Oculus Launch Pad Award for VR game development 2013 Fulbright Fellowship for dyslexia research in Japan Advising & Grants: Active in interdisciplinary teams, she collaborates with clinicians, educators, and technologists. Current projects include NIH-funded studies on multiplayer health games and VR infection prevention training for NICU staff. Labs & Teams: Based at the XR Pediatrics lab, she leads development of health-focused VR applications. Collaborates with the Yale Center for Immersive Technologies to advance translational research.

Lara Perez-Felknerمشاهده پروفایل

استاد

• Educational Equity
• STEM Education Policy
• Sociology of Education
• +۳ مورد دیگر

Dr. Lara Perez-Felkner is a Professor of Higher Education and Sociology at Florida State University (FSU) within the College of Education, Health, and Human Sciences. She holds affiliations with the Department of Sociology and the Center for Postsecondary Success. Her work focuses on mechanisms shaping access and persistence in underrepresented fields, particularly in STEM education and postsecondary pathways for marginalized groups. Education: Ph.D. and M.A. from the University of Chicago; B.A. from Wesleyan University. Leadership Roles: Co-Team Lead for AAAS SEA Change, Director of FSU’s NSF ADVANCE team (INCREASE), and former Co-Chair of the Latin* Faculty and Staff Collective. Research Interests: Dr. Perez-Felkner examines racial-ethnic, gender, and socioeconomic disparities in higher education, with a focus on STEM equity. Her work integrates developmental and sociological perspectives to propose systemic interventions. Key themes include institutional policies, mentorship, and curricular reforms to support underrepresented students. Publications highlight interventions to reduce gender gaps in computing and engineering, the role of community colleges in STEM degree attainment, and policy briefs advocating for equitable STEM pathways. Her work has been featured in Review of Educational Research , International Journal of STEM Education , and Science News for Students . Awards: Includes FSU’s Transformation through Teaching Award (2014), multiple Hardee Center Mentor Awards, and recognition as a SERN Mid-Career Fellow. Grants: Supported by NSF, Gates Foundation, Spencer Foundation, and others. Teaching & Mentoring: Courses include Sociology of Education and Student Development Theory. She has mentored dozens of students in collaborative research, emphasizing inclusive pedagogy and institutional change.

• Global Health
• Infectious Diseases
• Mathematical Modeling
• +۳ مورد دیگر

Dr. Abhishek Pandey is a Research Scientist in the Center for Infectious Disease Modeling and Analysis at the Yale School of Public Health (YSPH) and affiliated faculty at the Yale Institute for Global Health. He holds a PhD in Mathematical Sciences from Clemson University and completed postdoctoral training at Yale. His research focuses on data-driven mathematical models to study infectious disease dynamics, public health policy, and the impact of socio-political conflicts on health systems. Education: BSc (Mathematics) from Delhi University, MSc (Applied Mathematics) from IIT Roorkee, and PhD (Mathematical Sciences) from Clemson University. He also served as a Postdoctoral Associate at YSPH. Research Interests: Modeling infectious diseases (e.g., HIV, RSV, Ebola), evaluating public health interventions, conflict-induced migration, and global health equity. His work integrates artificial intelligence with epidemiological modeling to address challenges in disease control and policy. Key Publications: Includes studies on SARS-CoV-2 vaccination strategies, impact of healthcare policy changes, and agent-based modeling of forced migration. His work has been published in journals like Nature Communications , PNAS , and The Lancet . Scientific Awards: Recipient of the James Hudson Brown - Alexander B. Coxe Fellowship (2015). Advising & Grants: Collaborates with global health teams on projects like the Public Health Modeling Unit at YSPH. His research addresses real-world challenges such as pandemic preparedness and healthcare access disparities. Labs/Teams: Active in the Center for Infectious Disease Modeling and Analysis, focusing on interdisciplinary approaches to global health challenges.

Ammina Kothariمشاهده پروفایل

استاد

• Artificial Intelligence in Journalism
• Social Media Impact on Mental Health
• Global Health Communication
• +۳ مورد دیگر

Dr. Ammina Kothari is the current Dean of The Gwen Ifill School of Media, Humanities and Social Sciences at Simmons University. She holds a PhD in mass communication, a master's in communication and society, and a bachelor's in English and print journalism. Her scholarship focuses on global issues such as AI's impact on journalism, social media's mental health implications, and marginalized communities' challenges. She has published extensively on topics ranging from public health communication during pandemics to media ethics in Tanzania. Dr. Kothari’s research integrates interdisciplinary approaches, blending media studies, public health, and technology. Her work emphasizes ethical storytelling, digital literacy, and the role of media in addressing societal inequities. Notable areas include vaccine hesitancy during the pandemic, refugee crises, and mobile health solutions for underserved populations. Her articles reflect a commitment to both theoretical exploration and practical application, with recent trends focusing on misinformation detection, AI-driven journalism in developing regions, and pandemic-era communication strategies. While no scientific awards are explicitly mentioned in the text, her contributions to media and public health discourse are widely recognized through academic platforms. In her leadership role, Dr. Kothari oversees initiatives like digitizing Gwen Ifill’s archives and fostering interdisciplinary collaboration. She has moderated events such as the 'Women’s Health is Public Health' panel, highlighting her advocacy for intersectional approaches to societal challenges.

• Robotic Orthopedic Surgery
• Image-Guided Intervention
• Advanced Telemedicine
• +۳ مورد دیگر

Dr. Sang-Eun "Sam" Song is an Associate Professor and F.T. Harrington Endowed Chair at the University of Akron's College of Engineering and Polymer Science. He holds joint appointments in Mechanical Engineering, Biomedical Engineering, and Electrical and Computer Engineering. His interdisciplinary research focuses on surgical robotics, medical devices, and telemedicine, supported by grants from NIH, NSF, DOD, and NASA. Dr. Song has pioneered over 14 U.S. patents since 2014, emphasizing innovation in robotic systems for orthopedic surgery, image-guided interventions, and soft robotics in healthcare. Education: Ph.D./DIC in Mechanical Systems Engineering, Imperial College London, UK M.S. in Mechanical Systems Engineering, University of Liverpool, UK B.S. in Mechanical Engineering, University of Ulsan (ROTC), South Korea Research Interests: Dr. Song’s work spans robotic orthopedic surgery , image-guided interventions , and advanced telemedicine . He develops cutting-edge devices like MRI-guided robotic needle guides, nondestructive osteochondral tissue harvesters, and telehealth systems. His contributions to soft robotics include granular jamming-based surgical tools and devices for minimally invasive procedures. He emphasizes translating research into clinical applications through patented innovations. Grants & Awards: His research has been funded by leading agencies including NIH, NSF, DOD, and NASA. While no personal awards are listed, his work has produced impactful patents and collaborations with hospitals and industry. Labs & Teams: Dr. Song leads the Immersive Robotics Lab (IRL) , focusing on integrating robotics with clinical needs. His team collaborates across engineering, medicine, and healthcare to advance surgical technologies.

Siew Sun Wongمشاهده پروفایل

استادیار

• Obesity Prevention
• Youth Nutrition
• Innovative Nutrition Education
• +۳ مورد دیگر

Siew Sun Wong is an Assistant Professor and Extension Nutrition Specialist at Oregon State University (OSU), affiliated with the College of Public Health and Human Sciences. She holds a PhD and MS in Nutrition and Food Sciences from Utah State University. Her primary roles include teaching, research, and Extension work, focusing on obesity prevention among youth and innovative nutrition education. Education: PhD in Nutrition and Food Sciences (Utah State University) MS in Nutrition and Food Sciences (Utah State University) Research Interests: Dr. Wong’s work emphasizes childhood obesity prevention, youth calcium consumption, and leveraging technology (e.g., virtual worlds, wearable sensors) for dietary assessment and education. She leads the WAVE~Ripples for Change project, integrating real/virtual learning for teens via soccer-based interventions. Additional foci include low-income family nutrition and international nutrition collaboration. Collaborations: Works with multidisciplinary teams across OSU (Engineering, Computer Science) and partners like San Diego State University. Key collaborators include Melinda Manore, Bo Zhang, and the USDA Extension Foundation. Labs/Teams: Affiliated with the Moore Family Center for Whole Grain Foods, Nutrition and Preventive Health and the Hallie E. Ford Center for Healthy Children and Families . She also mentors students in interdisciplinary research and Extension programs. Grants: Secured a $4.7M USDA grant for teen health initiatives and developed a smartphone app ( Better Eating Starts Today ) to track dietary habits.

• Machine Learning
• Computer Vision
• Deep Learning
• +۴ مورد دیگر

Dr. Maryam Haghighat is a Lecturer at QUT's School of Electrical Engineering & Robotics, specializing in Machine Learning, Computer Vision, and Robotics. She holds a PhD from UNSW's School of Electrical Engineering and Telecommunications, where her thesis earned the 2020 UNSW Award for Outstanding Doctoral Thesis. Her postdoctoral research at the University of Oxford's Big Data Institute (2020–2022) focused on medical image analysis for the PathLAKE project. Currently, she leads AI projects with over $10M in funding, including ARC grants and industry collaborations. Her research spans applications in robotics, healthcare, and remote sensing. Notable contributions include developing machine learning algorithms for histopathology image analysis and robust multi-robot localization systems. Awards include the UNSW Doctoral Thesis Award (2020). She actively supervises PhD students in topics like multimodal fusion and 3D visual understanding. Publications highlight advancements in AI-driven medical imaging, hyperspectral transformers, and illumination-aware video compression. Her work bridges theoretical machine learning with practical applications in healthcare, robotics, and environmental monitoring.

• Augmentative and Alternative Communication (AAC)
• Social Interaction
• Disability Studies
• +۳ مورد دیگر

Michelle Therrien is an Associate Professor in the Department of Communication Sciences and Disorders at Florida State University (FSU), within the School of Communication. Her research focuses on enhancing social connections for individuals using augmentative and alternative communication (AAC), emphasizing evidence-based practices in schools and communities. She holds editorial roles at the American Journal of Speech-Language Pathology and is active in professional organizations like ASHA and ISAAC. Her teaching spans AAC, developmental disorders, and child language development. Education: Ph.D., Communication Sciences & Disorders, Pennsylvania State University MA, Computational Linguistics, University of Washington BA, English, Saint Louis University Research Themes: Dr. Therrien’s work prioritizes social interaction, friendship dynamics for AAC users, interdisciplinary collaboration, and telepractice adaptation during crises like the pandemic. Her recent studies explore caregiver experiences with aphasia patients, pandemic-era AAC service delivery challenges, and strategies to support children with complex communication needs in inclusive settings. Grants & Contributions: $20,000 FSU grant analyzing pandemic-era AAC service innovations $10,000 ASH Foundation grant for teacher training in AAC peer interaction $25,000 multidisciplinary grant studying literacy skills in children with autism Labs/Teams: Co-developed the RouTEAM initiative fostering home-school partnerships for AAC users, and leads telepractice research initiatives addressing pandemic-era service gaps. Active in Florida State’s Communication Science & Disorders research clusters.

• Stroke Medicine
• Neurointerventional Radiology
• Endovascular Therapy
• +۴ مورد دیگر

Pieter Jan van Doormaal is a Researcher in the Department of Radiology & Nuclear Medicine at Erasmus MC, a leading medical center in the Netherlands. His work focuses on advanced imaging techniques and endovascular treatments for stroke patients, with particular expertise in cerebral angiography and thrombectomy procedures. Dr. van Doormaal's research interests center on improving outcomes for acute ischemic stroke patients through innovative endovascular therapies. His work spans neurointerventional radiology , medical imaging analysis , and stroke treatment optimization . He investigates the relationship between procedural techniques and patient outcomes using metrics like the Modified Rankin Scale, with special attention to large vessel occlusions and brain ischemia mechanisms. His recent publications demonstrate a strong trend toward integrating advanced computational methods with clinical stroke care. Several studies focus on AI-assisted decision making for endovascular therapy, cost-effectiveness analyses of stroke treatment systems, and technical innovations in cerebral angiography. His work appears in high-impact journals including The Lancet, reflecting significant contributions to the field of interventional neuroradiology. Dr. van Doormaal actively collaborates with major international stroke research networks as evidenced by his participation in the ESCAPE-NEXT multicenter trial. His research output shows substantial external interest, with multiple publications being picked up by news outlets and discussed on academic social media platforms.

• Health Economics
• Decision Analytic Modeling
• Health Technology Assessment
• +۳ مورد دیگر

Ruchi Mittal is a Senior Health Economist at the School of Public Health within the Faculty of Health and Medical Sciences at The University of Adelaide, working with Adelaide Health Technology Assessment (AHTA). Her research focuses on health economics, decision analytic modeling, and evidence-based medicine, with an emphasis on evaluating healthcare technologies and interventions. Her work includes assessments of genetic testing for conditions like Lynch syndrome, fertility preservation techniques (e.g., ovarian and semen cryopreservation), and imaging modalities such as PET/CT and cardiac MRI. Publications also span computational chemistry methodologies, including QSAR modeling for drug discovery. Key contributions include economic evaluations of medical technologies and policy-relevant analyses for bodies like MSAC. Her research bridges clinical decision-making and cost-effectiveness, addressing challenges in healthcare resource allocation. Publications highlight collaborations on genetic testing policies, fertility preservation strategies, and diagnostic imaging innovations. Her work supports evidence-based healthcare through rigorous health technology assessments and economic modeling.

Sebastian Galianiمشاهده پروفایل

استاد

• Development Economics
• Applied Microeconomics
• Health Economics
• +۴ مورد دیگر

Sebastian Galiani is a Professor of Economics at the University of Maryland and a Visiting Professor at Universidad de San Andres in Argentina. He specializes in Development Economics and Applied Microeconomics, with a focus on poverty, public policy, and urban development. His work explores topics such as property rights, health economics, education policy, and the impact of foreign aid. Galiani has held academic positions at multiple institutions, including Columbia University and Stanford University, and has consulted for organizations like the World Bank and United Nations. His research has been published in top journals such as the Journal of Political Economy and the Quarterly Journal of Economics, and has been featured in major media outlets including The Economist and The Wall Street Journal. Key research areas include the effects of land titling on poverty, the impact of water privatization on child mortality, and the role of early childhood education in maternal labor market outcomes. He has contributed to policy discussions on conditional cash transfers, slum upgrading, and fiscal federalism. Galiani’s work often combines rigorous empirical analysis with policy relevance, addressing critical challenges in Latin America and beyond.