جست‌وجوی استاد و پژوهشگر

Maja J Matarićمشاهده پروفایل

استاد

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +۷ مورد دیگر

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

Roberto Manduchiمشاهده پروفایل

استاد

• Computer Vision
• Assistive Technology
• Human-Computer Interaction
• +۲ مورد دیگر

Roberto Manduchi is a Professor of Computer Science and Engineering at the University of California, Santa Cruz, within the Baskin School of Engineering. His primary affiliation is with the Computer Science and Engineering department where he leads research in assistive technology for visual impairments. He holds a Dottorato di ricerca in Electrical Engineering from the University of Padova, Italy, and previously worked at Apple and NASA JPL before joining UCSC in 2001. His research focuses on mobile computer vision, inertial sensors, and location-aware systems to enhance spatial awareness and information access for blind and low-vision individuals. Key research areas include indoor navigation systems, screen magnification for low-vision readers, obstacle detection using augmented reality, and text accessibility assessment through specialized OCR pipelines. His work bridges computer vision, human-computer interaction, and accessibility design. Analysis of his recent publications (2022-2025) reveals strong emphasis on inertial-based indoor navigation (e.g., PALMS localization system, backtracking algorithms), screen magnification usability studies, and novel approaches to scene text access for blind users. His research consistently targets practical applications for visual impairment, with significant contributions to pedestrian dead reckoning, magnetic signature localization, and gaze-contingent interfaces. Manduchi serves on the scientific advisory board of Aira and is a board member of the Vista Center for the Blind and Visually Impaired. He leads the UCSC Computer Vision Lab where his team develops accessible computing solutions. His work includes both theoretical contributions to computer vision and tangible assistive applications, with recent projects focusing on smartphone-based inertial odometry, multi-scale tactile maps, and real-time obstacle cueing systems.

Amy R. Wuمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Human Biomechanics
• Locomotion
• +۴ مورد دیگر

Amy R. Wu serves as Associate Professor in Mechanical and Materials Engineering at Queen's University and holds the Mitchell Professorship in Bio-inspired Robotics. She leads the Biomechanics x Robotics Laboratory (BxRL) and contributes to the Ingenuity Labs Research Institute. Her academic credentials include: Ph.D. in Mechanical Engineering, University of Michigan Postdoctoral Research, Biorobotics Laboratory, EPFL, Switzerland Dr. Wu's research bridges biomechanics and robotics to enhance legged mobility through innovations in human-robot interaction , exoskeleton design , and gait assistance . Her work focuses on developing robotic systems that adapt to human movement patterns, particularly for spinal cord injury rehabilitation and stability augmentation during walking. Analysis of her 2019-2023 publications reveals consistent advancement in exoskeleton control algorithms, gait stability metrics, and human adaptation studies. Key trends include modular exoskeleton systems (Symbitron), neuromuscular controllers for ankle assistance, and haptic feedback integration for motor learning enhancement. No scientific awards are documented in the provided materials. Dr. Wu mentors graduate students through BxRL, where her team conducts human subject testing and robotic development. Research is supported by institutional resources at Ingenuity Labs, though specific grant details remain unspecified. The Biomechanics x Robotics Laboratory operates within Queen's Ingenuity Labs Research Institute, facilitating interdisciplinary collaboration on projects like outdoor stability assessment, winter walking adaptations, and teleoperation interfaces for drone control.

Qingguo Liمشاهده پروفایل

استاد

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

Magnus Dahlstedtمشاهده پروفایل

استاد

• Social Work
• Citizenship Formation
• Migration Studies
• +۵ مورد دیگر

Magnus Dahlstedt is Professor of Social Work at Linköping University's Department of Culture and Society (IKOS) since 2019, previously holding the same position at ISV (Institution for Social and Welfare Studies) from 2015-2019. He has been responsible for the research environment and doctoral education in Social Work at Linköping University from 2016 to 2023. His academic journey began with a PhD in Ethnicity from Linköping University in 2005, followed by becoming a docent (associate professor) in 2009 and a biträdande professor (associate professor) in 2014 before achieving full professorship in 2015. Dahlstedt's research centers on citizenship formation in contemporary society shaped by welfare policy transformations and international migration. His work examines how citizenship is concretely formed in segregated urban environments, focusing particularly on the gap between formal rights and substantive living conditions. He investigates social pedagogical efforts across public policy, education, and the non-profit sector, with special attention to vulnerable groups including young people with foreign backgrounds in urban peripheries. His methodological approach is interdisciplinary, grounded in critical power analysis, discourse analysis, and ideological critique, often involving cross-disciplinary research collaborations. His recent publications reveal consistent thematic focus on migration, social inclusion, and urban segregation, with particular emphasis on how sports can serve as tools for social purposes in marginalized communities. The research shows increasing attention to longitudinal studies of migrants' trajectories and the role of different educational contexts (high school, folk high schools, study associations) in integration processes. Dahlstedt's work demonstrates strong policy relevance, with findings frequently presented in government agency reports and informing public debate on segregation and inclusion. Researcher at Center for Community Strategies Research (2018-2021) Member of Mimerrådet, National Program for Folk Education Research (since 2014) Department Head at Remeso, Linköping University (2012-2015) Dahlstedt actively contributes to public discourse through media appearances, public lectures, and alternative writing projects including the anthology 'Brandtal' (2023) and 'Hårdare kan ingen vara' (2023), while preparing 'En professors dagbok' for publication in fall 2024. His research is funded by multiple agencies including Vetenskapsrådet, Norrköping Research and Development Fund, and the Swedish Crime Prevention Council.

• Robotics
• Rehabilitation Engineering
• Control Systems
• +۵ مورد دیگر

Mohamed Bouri is a Senior Lecturer and Researcher at École Polytechnique Fédérale de Lausanne (EPFL), where he is affiliated with the School of Engineering (STI) and specifically the Microengineering Department (SCI-STI-MB). He is part of the ReHAssist research group (http://rehassist.epfl.ch), which focuses on rehabilitation robotics and human-robot interaction. His office is located in the MED Building (MED 3 1016) at Station 9, 1015 Lausanne. Dr. Bouri's research spans several key areas in robotics and rehabilitation engineering. His primary focus is on the development and control of exoskeleton systems for mobility assistance and rehabilitation. He has made significant contributions to hip exoskeleton technology, adaptive control strategies, and human-robot interaction paradigms. His work bridges engineering principles with clinical applications, particularly for individuals with mobility impairments and neurological conditions. Additional research interests include sensory substitution techniques, balance control systems, and astronomical instrumentation involving robotic fiber positioners for multi-object spectrographs. Analysis of Dr. Bouri's recent publications reveals a strong emphasis on practical applications of robotics in rehabilitation settings. His work increasingly focuses on user-centered design, adaptive control systems that respond to individual user needs, and ecological validity in testing environments. There's a clear trend toward developing systems that can function effectively in real-world scenarios rather than controlled laboratory settings. His research also shows growing integration of physiological feedback mechanisms and multimodal sensing to enhance human-robot cooperation, with applications spanning from Parkinson's disease rehabilitation to astronomical instrumentation. Dr. Bouri has supervised numerous doctoral students whose theses reflect the breadth of his research interests, including work on lower-limb exoskeletons, robotic control systems, and rehabilitation technologies. His collaborative approach is evident in the extensive list of co-authored publications across multiple institutions and disciplines, demonstrating his ability to bridge engineering with clinical and astronomical applications. Based at EPFL's Microengineering Department, Dr. Bouri leads research activities within the ReHAssist laboratory, which specializes in rehabilitation assistance technologies. The lab focuses on developing innovative robotic solutions for mobility assistance, with particular expertise in exoskeleton design, control algorithms, and human-robot interaction paradigms. His work on projects like TWIICE One has demonstrated real-world impact in assistive technology development.

Matthew Garverمشاهده پروفایل

استاد

• Exercise Science
• Human Performance
• Resistance Training
• +۳ مورد دیگر

Matthew Garver is a Professor and Chair of the Department of Nutrition, Kinesiology, and Health at the University of Central Missouri (UCM). He joined UCM in Fall 2016 after completing his Ph.D. in Exercise Science at The Ohio State University and teaching for five years in Abilene, Texas. Education: Ph.D. in Exercise Science (The Ohio State University) Garver’s research focuses on applied human performance, with emphasis on resistance training, interlimb asymmetry in athletes, and the intersection of exercise science with diversity, equity, and inclusion (DEI). His work spans collegiate sports, track and field, and health interventions for special populations. Recent publications highlight his exploration of artificial intelligence in sport science ethics, DEI initiatives in exercise research, and position-specific training in collegiate female soccer. His studies also address exercise-induced bronchoconstriction, biomechanical asymmetry in American football players, and affective responses to resistance training. Garver has contributed to understanding physical activity’s role in older adults, particularly patients with knee osteoarthritis, through the IMPACT-P trial. His interdisciplinary approach bridges kinesiology, physiology, and social science in promoting health and athletic performance. At UCM, he teaches courses in Kinesiology and leads research initiatives aimed at optimizing human performance and health outcomes through evidence-based strategies.

Vera Liaoمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-AI Interaction
• Responsible AI
• +۶ مورد دیگر

Vera Liao is a Principal Researcher at Microsoft Research, where she is part of the FATE (Fairness, Accountability, Transparency, and Ethics of AI) group. She will join the University of Michigan Computer Science and Engineering department as an Associate Professor in fall 2025. Her work focuses on human-AI interaction, explainable AI, and responsible computing. Liao has made significant contributions to IBM products such as AI Explainability 360 and Uncertainty Quantification 360 during her time at IBM T.J. Watson Research Center. Dr. Liao received her education from the University of Illinois at Urbana-Champaign and Tsinghua University. Her academic journey has positioned her at the intersection of human-computer interaction and artificial intelligence, with a strong emphasis on creating AI systems that are transparent, accountable, and user-centered. Vera Liao's research primarily centers around human-centered AI explainability and transparency. She investigates how to design AI systems that effectively communicate their capabilities, limitations, and decision-making processes to users. Her work examines the intersection of AI transparency with trust, control, and user experience. Liao has pioneered approaches to bridging the socio-technical gap in AI evaluation and has developed frameworks for contextualized evaluation of explainable AI systems. Her research spans multiple domains including conversational interfaces, data storytelling, and creative work with generative AI. Liao's publications reveal a clear trend toward addressing the challenges of large language models and their impact on human-AI interaction. Her recent work focuses on understanding how uncertainty communication affects user trust, how to design for appropriate reliance on AI systems, and how to create authentic co-creation experiences with generative models. She has been examining the risks in AI-infused information ecosystems and developing methods for human-centered evaluation of language technologies. Her scientific contributions have been recognized with multiple honors: Best Paper Award, Honorable Mention at CHI 2025 (two papers) Best Paper Award at CHI 2024 Best Paper Award, Honorable Mention at FAccT 2023 Best Paper Award, Honorable Mention at HCOMP 2022 Best Paper Award, Honorable Mention at CHI 2021 Best Paper Award, Honorable Mention at CHI 2014 Outstanding Paper Award at IUI 2019 Dr. Liao is an active mentor, having guided numerous research interns from top universities including Cornell, Princeton, CMU, Stanford, and MIT. She serves in editorial roles as Co-Editor-in-Chief of the Springer Human-Computer Interaction Book Series and as an Editor for ACM CSCW. Liao has secured research funding through her work at Microsoft Research and previously at IBM, focusing on projects related to AI explainability, transparency, and responsible AI development. As part of Microsoft Research's FATE group, Liao collaborates with a multidisciplinary team of researchers focused on the ethical implications of AI technologies. Her work bridges the gap between technical AI development and human-centered design principles, ensuring that AI systems are developed with user needs and societal impacts in mind.

• Geriatric Medicine
• Aging Research
• Clinical Trials
• +۳ مورد دیگر

Denise Acampora, MPH, is a Lecturer in Geriatric Medicine at Yale School of Medicine. She specializes in aging-related research focusing on delirium prevention, post-hospitalization outcomes, falls prevention, and clinical trials in elderly populations. Her work spans over three decades, with significant contributions to understanding geriatric syndromes and improving care transitions for older adults. Education: MPH from Columbia University (1980), BS from St. Mary's College (1970). Key Research: Lead author on landmark studies about delirium interventions (NEJM 1999), cranberry clinical trials for UTIs in nursing homes (JAMA 2016), and post-COVID-19 outcomes in older adults (JAMA Network Open 2024). Collaborations: Works with prominent researchers like Thomas Tinetti, Mary Tinetti, and Laura Ferrante on aging-related studies. Her research emphasizes translational strategies to reduce disability and improve quality of life for elderly patients through evidence-based interventions. Current projects focus on longitudinal assessment of post-acute sequelae in older adults (VALIANT cohort).

Barbara Givenمشاهده پروفایل

استاد

• Nursing
• Oncology Caregiver Support
• Symptom Management in Cancer Patients
• +۳ مورد دیگر

Barbara Given is a University Distinguished Professor in the College of Nursing at Michigan State University. Her research focuses on the interplay between formal healthcare systems and informal caregiver networks, particularly in oncology and geriatric populations. She has secured over 34 years of NIH funding, including grants from the National Cancer Institute, NIMH, and others. Dr. Given earned her Ph.D. at MSU, following a BSN and MSN from Ohio State University. Her work centers on caregiver burden, symptom management in chronic disease, and caregiver-patient communication. She developed the Caregiver Burden Instrument, widely used in research and clinical settings across multiple languages. Key research interests include: 1) caregiver stress and support systems, 2) symptom management in cancer patients, and 3) healthcare coordination challenges in aging populations. Her NIH-funded projects address adherence to oral chemotherapy, fall prevention in cancer survivors, and psychosocial outcomes post-treatment. Recent articles emphasize innovation in symptom tracking (e.g., text messaging for adherence), caregiver mental health barriers, and longitudinal symptom analysis. Awards/fellowships are not explicitly stated, though her sustained NIH support reflects significant recognition. Dr. Given advises on grants and mentors nurse researchers. She collaborates on interdisciplinary teams focused on palliative care, gerontology, and technology-based interventions. Her work bridges clinical practice and policy, advocating for integrated care models to reduce caregiver burden.

James Tungمشاهده پروفایل

دانشیار

• Assistive Technology
• Rehabilitation Engineering
• Biomedical Engineering
• +۵ مورد دیگر

James Tung is an Associate Professor at the University of Waterloo’s Faculty of Engineering, Department of Mechanical and Mechatronics Engineering. His research focuses on assistive technology, rehabilitation engineering, and mobility solutions for individuals with disabilities. He leads the Neural and Rehabilitation Engineering (NRE) Lab, which develops wearable sensors, robotics, and machine learning tools to enhance mobility and monitor motor rehabilitation. He teaches courses including BME 355 (Physiological Systems Modelling), BME 540 (Neural and Rehabilitation Engineering), and ME/MTE engineering modules. The lab collaborates with clinical and industry partners to translate research into practical solutions, addressing real-world mobility challenges and aging demographics. His research spans real-world gait analysis, fall risk assessment, and prosthetic design, with a focus on pediatric neurodevelopmental disorders and elderly mobility. The NRE Lab emphasizes interdisciplinary work, combining biomechanics, robotics, and data science to improve healthcare outcomes. Lab Alumni: Includes researchers like Robin Murdock (Myant Inc.), Andrew Hart, and Raj Senthilkumar, contributing to prosthetics and gait analysis. Partnerships: Engages clinical and industry stakeholders for knowledge translation and commercialization. Current projects include developing smart rollators, biofeedback prosthetics, and sensor-based assessment tools to address mobility limitations in aging populations and individuals with disabilities.

• Public Health
• Physical Activity
• Healthy Ageing
• +۷ مورد دیگر

Dr. Abby Haynes is a Research Fellow at the Sydney School of Public Health, University of Sydney, affiliated with the Institute for Musculoskeletal Health and Faculty of Medicine and Health. Her work focuses on physical activity for healthy ageing and people with disability, employing qualitative research, systems thinking, and realist evaluation. Key research themes include: Healthy Ageing Disability and Physical Activity Implementation Science Knowledge Mobilisation Her recent publications analyze: Inclusive sports programs for children with disability Fall prevention in acute hospitals Telehealth physiotherapy for aged care Realist evaluations of yoga and dance interventions Systems thinking in public health policy These emphasize public health, gerontology, and health equity approaches. Grants include MRFF-funded projects on traumatic brain injury rehabilitation (2024), fall prevention (2023), and aged care mobility (2022).

• Stroke
• Neurology
• Digital Health
• +۶ مورد دیگر

Lee H. Schwamm, MD is Associate Dean for Digital Strategy and Transformation at Yale School of Medicine and Senior Vice President & Chief Digital Health Officer for Yale New Haven Health System. He holds professorships in both Biomedical Informatics & Data Sciences and Neurology at Yale School of Medicine. Previously, he spent three decades at Mass General Brigham Health System where he served as Executive Vice Chair of Neurology, Director of the Center for TeleHealth at Massachusetts General Hospital, and Vice President for Digital Patient Experience and Virtual Care. Dr. Schwamm is an internationally recognized expert in stroke diagnosis, treatment and prevention, with particular expertise in telestroke and digital health applications in neurology. His research focuses on stroke in young patients, cryptogenic strokes, patterns of stroke care delivery, and addressing health inequities in stroke outcomes. He has been a pioneer in telehealth, especially in telestroke services, and has served as a policy advisor for the American Heart Association. His work has resulted in over 500 peer-reviewed publications with recent research emphasizing digital health solutions, AI applications in stroke care, social determinants of health impacts on stroke outcomes, and quality improvement in stroke care delivery. Under his leadership, the AHA Get with the Guidelines–Stroke Registry has grown into the world's largest stroke registry with over 8 million patient encounters. Fellow of the American Heart Association Fellow of the American Academy of Neurology Fellow of the American Neurological Association Digital health section editor for Stroke journal Member of Lancet Digital Health international advisory board Dr. Schwamm led the adoption of virtual care for 10,000 clinicians during the first six months of the COVID-19 pandemic, facilitating over 1.7 million virtual visits. He champions redesigning care delivery through a human-centered lens, leveraging technology to improve patient outcomes while reducing healthcare disparities. His educational background includes an AB in Philosophy from Harvard University (1985) and an MD from Harvard Medical School (1991), followed by neurology residency and stroke fellowship at Massachusetts General Hospital.

Matthew Lee Smithمشاهده پروفایل

استاد

• Aging
• Health Behavior
• Chronic Disease Management
• +۶ مورد دیگر

Matthew Lee Smith is a Professor at the Texas A&M School of Public Health , part of Texas A&M University . He is a core faculty member of the Center for Community Health and Aging (CCHA) and the Center for Health Equity and Evaluation Research (CHEER) , and serves as the Director of the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) . Education: Post-Doctoral Fellowship, Health Science Center, Texas A&M University (2010) PhD in Health Education, Texas A&M University (2008) MPH, Indiana University Bloomington (2004) BS in Public Health Education, Indiana University Bloomington (2002) Research Interests: Dr. Smith’s research focuses on aging , chronic disease management , and evidence-based public health interventions . He is particularly interested in health behavior change , health risk assessment , and survey research methodology . His translational work bridges research and practice across healthcare, aging services, and public health systems. He has a strong focus on social determinants of health , including social isolation , caregiving , diabetes self-management , and fall prevention among older adults. His work often targets underserved populations, particularly Black/African American men and rural communities . Scientific Awards: Immunization Neighborhood Champion Award (2024) Responsible Research in Management Award (2023) J. Mayhew Derryberry Award (2022) Consumer Education Program Award (Silver) (2022) Bluebonnet Award (2021) Innovators in Aging Award (2019) Redefining American Healthcare Award (2019) Community ConnecTivity Award (2019) Phillip G. Weiler Award for Leadership in Aging and Public Health (2018) Leadership & Mentorship: Dr. Smith holds leadership roles in several national and state-level initiatives. He is the Co-Director of the Advancing Gerontology through Exceptional Scholarship (AGES) Program and serves on the Steering Committees of the Texas Falls Prevention Coalition , Texas Alzheimer’s Research and Care Consortium , and Texas Social Isolation and Loneliness Coalition . He is also the Director of the Research Scholars & Mentorship Program (RSMP) at the American Academy of Health Behavior. Labs & Centers: He leads the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) , which focuses on developing and evaluating community-based interventions. He is also affiliated with: Center for Community Health and Aging (CCHA) Center for Health Equity and Evaluation Research (CHEER)

Nukhba Ziaمشاهده پروفایل

پژوهشگر

• Health Systems Research
• Injury Research
• Trauma Care Systems
• +۵ مورد دیگر

Nukhba Zia is an Associate Scientist at the Johns Hopkins Bloomberg School of Public Health , affiliated with the Department of International Health . She is also associated with the Johns Hopkins International Injury Research Unit (IIRU) and collaborates with institutions in Uganda and Pakistan. Education: PhD in Public Health (Johns Hopkins, 2019), MPH in Public Health (Johns Hopkins, 2013), MBBS (Aga Khan University, 2005) Research Interests focus on health systems research , injury prevention , and rehabilitation care , particularly in low- and middle-income countries (LMICs) across Africa and Asia. She employs mixed-methods designs to evaluate trauma care systems , disability assessments , and technological solutions for service delivery gaps . Recent Publications highlight her work on burn registers (e.g., South Asian Burn Registry ), child disability in Uganda, and injury patterns in Pakistan . Her studies often address emergency care , prehospital management , and registry data to inform global health policies. Honors & Awards include the Health Systems Program Doctoral Award , Graduate Student Employee of the Year , and prestigious scholarships like the Reed Frost and Fulbright for her MPH. She has contributed to over 50 peer-reviewed articles.