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Chia-Ling MaoView profile

Professor

• Community Mental Health
• Cultural Competency
• Interdisciplinary Healthcare
• +3 more

Dr. Chia-Ling Mao is a Professor in the Valley Foundation School of Nursing at San José State University's College of Health and Human Sciences. She holds a PhD from Texas Woman's University and has over 40 years of academic and clinical experience in psychiatric nursing and community mental health. Her work emphasizes cultural competency and interdisciplinary collaboration. Education: Doctor of Philosophy, Texas Woman's University, 1985 Master of Science, University of Illinois, 1977 Bachelor of Science, National Defense Medical Center, Taiwan, 1971 Research Interests: Dr. Mao focuses on cultural competency in nursing care, global health challenges, and the mental health needs of diverse populations. She pioneered a study abroad program for nursing students to enhance cross-cultural understanding and has taught at undergraduate, graduate, and doctoral levels. Her research spans topics like complementary medicine use among ethnic minorities, health literacy in aging populations, and nurse-student simulation training. Publications & Presentations: Over 70 peer-reviewed articles and conference presentations, including work on hypertension adherence in Chinese Americans, CAM practices in pediatric care, and nursing education innovations. Key themes include cultural barriers in healthcare, mental health interventions, and transcultural nursing practices. Teaching & Service: Teaches courses like NURS 202 (Philosophical Foundations of Nursing Science) and actively volunteers in underserved communities. Her work bridges theory and practice through collaborative research with UCSF and interdisciplinary teams. Labs/Teams: Collaborates with nurse-managed clinics and community organizations to implement evidence-based care models, such as the Omaha System for outcome measurement.

Heather BaidView profile

Lecturer

• Sustainable Healthcare
• Critical Care Nursing
• Healthcare Education
• +3 more

Heather Baid is a Principal Lecturer at the University of Brighton, affiliated with the School of Education, Sport and Health and the Public Health and Health Conditions Research Excellence Group. She leads the BSc (Hons) Clinical Practice degree and intensive care modules in the Continuing Professional Education programme. Her academic roles include course leadership and teaching in critical care nursing, supported by qualifications such as a PhD in Sustainability in Critical Care Practice (2019), MSc in Clinical Studies and Education (2010), and a Postgraduate Certificate in Research Methodology (2013). Heather has received notable awards, including the University of Brighton’s Rising Star Research Award (2020) and two Excellence in Facilitating and Empowering Learning awards. She holds a Senior Fellowship from the Higher Education Academy and is a member of the BACCN Southern Region committee. Her research focuses on sustainable healthcare practices, particularly environmental, financial, and social sustainability in critical care. Key projects include leading the GREEN-ICU initiative to reduce intensive care’s carbon footprint and co-chairing the annual SHARE conference on sustainability in health. She collaborates internationally on studies assessing healthcare professionals’ views on environmental sustainability and advancing simulation-based education for sustainable practices. Heather supervises PhD/MSc/MRes students in critical care clinical practice, healthcare sustainability, and simulation education. She has organized sustainability-focused conferences and contributed to policy discussions through publications in journals like Nursing in Critical Care and Critical Care .

• Human Activity Recognition
• Wearable Computing
• Machine Learning
• +5 more

Vitor Fortes Rey is a Researcher at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, Germany, specializing in embedded intelligence systems. He operates within the Embedded Intelligence department, focusing on human activity recognition through multimodal sensor fusion and machine learning techniques for pervasive computing applications. His research expertise spans Human Activity Recognition , Wearable Computing , and Deep Learning , with emphasis on lightweight models for resource-constrained environments. Current work addresses data scarcity through synthetic data generation and few-shot learning approaches, particularly targeting healthcare applications like nurse education systems and real-world activity monitoring. Recent publications demonstrate a clear trajectory toward practical deployment of activity recognition systems, with increasing focus on cross-domain adaptation, multimodal feature integration, and vision-based evaluation frameworks. His work bridges theoretical machine learning advances with tangible healthcare and behavioral computing solutions. Rey actively contributes to the VidGenSense project developing synthetic sensor data generation methods to transition human activity recognition from laboratory settings to longitudinal real-world implementation. While no formal advisees are documented, his collaborative work with institutions like IEEE indicates active participation in the pervasive computing research community. He maintains direct involvement in the Embedded Intelligence research unit at DFKI, where his team develops next-generation sensor interpretation systems with applications spanning healthcare, behavior computing, and ubiquitous intelligence environments.

• Computational Mechanics
• Micromechanics
• FFT-based Methods
• +4 more

Lennart Risthaus serves as a Researcher at the Department of Engineering Mathematics within the School of Civil Engineering at the University of Duisburg-Essen, Germany. He joined the university in September 2023 after previously working as a Researcher at the Institute of Engineering Mechanics, Continuum Mechanics Division at the Karlsruhe Institute of Technology (KIT) from February 2021 to August 2023. His academic appointments demonstrate a consistent trajectory in computational mechanics research within German technical universities. Dr. Risthaus completed his Bachelor's degree in Mechanical Engineering with a focus on Continuum Mechanics (2014-2018) and Master's degree in Mechanical Engineering with majors in Medical Technology and Applied Mechanics (2018-2021), both from the Karlsruhe Institute of Technology. His educational journey included an Erasmus exchange semester at the Royal Institute of Technology (KTH) in Stockholm and practical experience through internships at Reden B.V. in the Netherlands and Admedes GmbH in Germany, where he worked on finite element simulations and material testing. His research specializes in advanced computational techniques for material science, particularly FFT-based homogenization methods in micromechanics. Risthaus has developed innovative approaches for implementing Dirichlet boundary conditions in FFT-based computational frameworks and pioneered applications of tensor-train formats to enhance computational efficiency. His work bridges theoretical mathematics with practical engineering applications, focusing on solving complex boundary value problems in material behavior analysis. An analysis of his publication record reveals a clear research trajectory toward increasingly sophisticated computational methods for micromechanical simulations. His recent work demonstrates growing expertise in thermal homogenization problems and the integration of tensor-train methods with traditional FFT approaches. The consistent publication in high-impact journals like Computational Mechanics and International Journal for Numerical Methods in Engineering indicates recognition within the computational mechanics community. Risthaus actively contributes to the academic community through presentations at major international conferences including the GAMM Annual Meetings, ECCOMAS Young Investigators Conference, and the International Conference on Computational Plasticity (COMPLAS). His teaching responsibilities include leading exercises and tutorials for Mathematics courses for Civil Engineering students at both undergraduate and graduate levels, demonstrating his commitment to engineering education alongside his research activities.

• Educational Technology
• E-Learning Systems
• Ontology-Based Assessment
• +5 more

Maja Radović is an Assistant Professor in the Department of Information Technologies at the Faculty of Technical Sciences, University of Kragujevac, Serbia. She has been working at this institution since September 2008, specializing in the narrow scientific field of Information Technologies and Systems. Her academic journey began at the Faculty of Technology in Čačak, where she graduated in 2008 with high honors, and later earned her Doctor of Science in Electrical Engineering and Computer Science from the Faculty of Electronics in Niš after defending her doctoral thesis on "Ontology-guided student testing in e-learning" in 2024. Dr. Radović's research spans multiple areas within educational technology and computer science. Her primary interests include e-learning systems, ontology-based assessment methods, database technologies, and the application of virtual environments in education. She has made significant contributions to the development of innovative teaching methodologies, particularly in engineering education and medical informatics. Her work often focuses on the intersection of technology and pedagogy, exploring how modern tools can enhance learning experiences and assessment practices. Over the years, Dr. Radović has been actively involved in numerous national and international projects, including TEMPUS projects focused on e-learning curriculum development, UNDP initiatives for digital transformation, and research projects in biomedical engineering. Her publication record demonstrates consistent contributions to the fields of educational technology, virtual learning environments, and ontology-based assessment systems. Dr. Milivoje Urošević Foundation Award for the best graduate student in the 2007/2008 academic year Dr. Radović has contributed significantly to curriculum development and teaching methodologies at her institution. She has been instrumental in adapting information technology courses to modern educational standards and has explored innovative approaches to student assessment. Her work extends to medical education, where she has developed ontology-based assessment tools for medical training. She has also investigated the application of 3D printing and virtual reality technologies in engineering education to improve spatial visualization skills among students.

• Medical Statistics
• Quantitative Research Methodology
• Emergency Medical Services
• +5 more

Jo Røislien is Professor of Medical Statistics at the University of Stavanger's Faculty of Health Sciences, Department of Quality and Health Technology. His academic career spans diverse medical research fields where he applies and develops innovative statistical methodologies to improve quantitative research in healthcare. Røislien's research interests encompass medical statistics, emergency medical services optimization, pandemic risk communication, and stroke care protocols. He has worked across cancer research, clinical trials, nursing research, radiology, rehabilitation, obesity, drug research, addiction, public health, and prehospital critical care. His methodological approach ranges from applying traditional statistical techniques to developing entirely new analytical frameworks tailored to specific medical challenges. His recent publication trends reveal three dominant research streams: emergency medical services optimization (particularly air ambulance base location using mathematical modeling), stroke care innovation (including NIHSS assessment protocols), and pandemic communication effectiveness (examining how video communication conveys critical health information). These streams reflect his unique ability to bridge statistical methodology with practical healthcare applications. Røislien has successfully merged academic research with creative science communication, having created and hosted mathematics and statistics television series for general audiences, including becoming the first Norwegian host on Discovery Channel. He has delivered numerous motivational talks on mathematics for teenagers and workshops on communicating complex topics for diverse professional audiences including teachers, researchers, and government ministries. His research methodology consistently involves interdisciplinary collaboration across medical specialties, working with clinicians, communication experts, and emergency service professionals to address pressing healthcare challenges through rigorous quantitative analysis and innovative study design.

• Biomechanics
• Orthopedic Implants
• Medical Simulators
• +5 more

Luc Labey is an Associate Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Technology, based at the Geel Campus where he serves as head of Subdivision 14 and contact person for the BioMechanics (BMe) research group, also known as BEADs (Biomechanical Engineering of Assistive Devices). His work bridges engineering principles with clinical applications, focusing on the development and optimization of medical devices that interact with the human body. Dr. Labey's research interests center on biomechanics of human joints, orthopedic implants, medical simulators, and motion analysis. His work particularly emphasizes the design and testing of assistive devices for pediatric neurological patients and those with orthopedic conditions. The BEADs research group employs a multidisciplinary approach combining in vivo patient measurements, laboratory experiments with simulators, and computer simulations to optimize device functionality. His recent publications reveal a strong focus on exoskeleton development, particularly for hip and ankle assistance in children with cerebral palsy, alongside research on knee mock-ups for orthopedic training. The work spans biomechanical testing, device design, and clinical validation, demonstrating a consistent trajectory toward creating practical medical solutions through engineering innovation. Dr. Labey serves in multiple academic roles including membership on the Council of the Faculty of Engineering Technology, the Mechanical Engineering Department Council, and the Teaching Portfolio Peer Review Committee. He teaches various engineering courses covering mechanics, manufacturing technologies, and materials science.

• Power Engineering
• Quantum Computing
• Microgrid Stability
• +5 more

Yan Li is an Assistant Professor in Electrical Engineering with extensive research activity spanning 2013–2025 and 76 research outputs. Their work intersects power systems engineering , quantum computing , and computational symmetry with applications in microgrid stability , neuroimage analysis , and human pose dynamics . Active in UN Sustainable Development Goals related to sustainable energy systems Key research areas: Quantum Computing Training , Transient Dynamics Analysis , Software-defined Networking , and Data-driven Modeling Recent publications focus on adaptive control algorithms for microgrids, quantum computing applications in power systems, and geometric machine learning for differential equations on manifolds. Their work combines theoretical innovation with practical implementations in energy and biomedical domains. Grant funding includes: National Science Foundation (CyberTraining: Quantum Computing Training for Power Engineers, 2024–2026) U.S. Navy (Quantum Analysis of Renewable Energy Transients, 2022–; SCADA Network Security via SDN, 2021–) National Science Foundation (Data-driven Modeling for Renewable Systems, 2022–2025)

• Cybersecurity
• Artificial Intelligence
• Cyber Ranges
• +5 more

Muhammad Mudassar Yamin serves as an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Gjøvik campus. His academic work spans cybersecurity research, artificial intelligence applications, and cyber range development, with significant contributions to security exercise frameworks and adversarial machine learning. His research interests focus on Cybersecurity , particularly in cyber ranges, security assurance, and AI-driven threat detection. Key areas include Kill Chain analysis, adversarial machine learning for hate speech detection, and security exercise scenario generation. Recent work demonstrates increasing integration of large language models for cybersecurity training and multilingual threat detection systems. Yamin's publication trends show consistent output in top cybersecurity venues, with recent emphasis on AI applications for security (2022-2025). His work bridges theoretical frameworks and practical implementations, particularly in cyber range technologies and threat intelligence systems. Collaborations with researchers like Basel Katt and Ehtesham Hashmi appear frequently across publications. He teaches courses including IIK3100 - Ethical Hacking and Penetration Testing and TTM4175 - Introduction to Cyber Security and Data Communication, reflecting his expertise in practical security education. His doctoral thesis (2022) focused on modeling and analyzing attack-defense scenarios for cyber ranges, establishing the foundation for his current research trajectory.

Mariam KayleView profile

Associate Professor

• Sickle Cell Disease
• Public Health Surveillance
• Population Health
• +4 more

Dr. Mariam Kayle is an Associate Professor at the Duke University School of Nursing , where she leads a robust program of research focused on improving health outcomes for individuals with sickle cell disease (SCD) and other childhood-onset chronic conditions. She co-directs the North Carolina Sickle Cell Data Collection Program , a state-level surveillance initiative supported by the CDC, and holds multiple roles in public health, nursing education, and policy research. Education: Ph.D., Duke University (2017) M.S.N., Duke University (2005) Research Interests: Dr. Kayle’s research centers on population-level surveillance of sickle cell disease, transition of care from pediatric to adult services, and health policy evaluation . Her work addresses disparities in care, emergency department utilization, and the long-term health outcomes of adolescents and young adults with chronic illnesses. She also explores health equity , medical responsibility transitions , and nursing education innovation . Recent Publications Trend: Her recent publications span from 2025 to 2015 , with a clear focus on sickle cell disease , transition care , public health surveillance , and nursing education . These works are published in high-impact journals such as Pediatric Blood & Cancer , Blood Advances , and Nursing Outlook , reflecting her interdisciplinary impact across hematology , public health , and nursing science . Grants and Funding: Principal Investigator, North Carolina Sickle Cell Data Collection Program (2024–present) Principal Investigator, Capacity Building for Sickle Cell Disease Surveillance (CDC, 2019–2020) Co-Investigator, NIH-funded SCD Care Improvement Initiative (2016–2023) Fellowship PI, American Nurses Foundation (2013–2015) Teaching and Service: Dr. Kayle teaches courses in nursing care of children , evidence-based practice , and secondary data analysis . She has served on the Duke Academic Council and contributed to the Faculty Curriculum on Anti-Racism , demonstrating her commitment to inclusive education and institutional service.

Renske de KleijnView profile

Assistant Professor

• Feedback in Education
• Self-Regulated Learning
• Educational Consultancy
• +4 more

Renske de Kleijn is an Assistant Professor at the Education Center of University Medical Center Utrecht (UMC Utrecht), specializing in educational research related to feedback and self-regulation in higher education. Her career bridges educational consultancy and academic research, focusing on improving student-supervisor dynamics and interprofessional communication in clinical and academic settings. Her research interests include: Feedback mechanisms in higher education Self-regulated learning strategies Distributed leadership in teacher teams Interprofessional communication in medical training Educational consultancy practices Collaborative innovation in schools Renske's recent publications emphasize feedback systems in healthcare education, collaborative practices in educational institutions, and career pathway analysis in life sciences. Key themes include interprofessional dialogue, clinical training evaluation, and leadership distribution in academic environments. Scientific awards and qualifications: Basic Qualification in Educational Advice (BKA) Senior Qualification in Educational Advice (SKA) Contact: rkleijn3@umcutrecht.nl

• Interpersonal processes in healthcare
• Social support and wellbeing in treatment outcomes
• Pain modulation
• +6 more

Associate Professor Claire Ashton-James, PhD, is a social psychologist and pain scientist at The University of Sydney's Northern Clinical School, specializing in interpersonal processes in healthcare and chronic/acute pain management. She teaches social aspects of pain within the Faculty of Medicine and Health, develops clinician workshops for emotional distress reduction, and holds leadership roles including Research Education Academic Director for the Northern Precinct. Key research themes: Patient-clinician communication , Social determinants of pain outcomes , Implicit bias in medical encounters , Group-based pain interventions , and Digital pain management tools Current projects address social consequences of orthognathic surgery , clinician characteristics' impact on pain expectations , and gabapentinoid use harms Recent publications focus on opioid tapering interventions , COVID-19's impact on chronic pain , and interpersonal trust mechanisms . She collaborates internationally and has secured over $13 million in competitive grants from organizations like the Ernest Heine Family Foundation. Active clinical affiliations: Pain Management Research Institute , Michael J Cousins Pain Management & Research Centre , and Charles Perkins Centre

• Simulation in Nursing Education
• Emergency Nursing
• Interprofessional Education
• +3 more

Laura T. Gantt is a Professor and Associate Dean for Nursing Support Services at the College of Nursing, East Carolina University . She oversees simulation and skills labs, instructional technology, Student Services, and the Student Development and Counseling Center (SDCC). Her email is ganttl@ecu.edu . Education : PhD in Nursing from the University of Colorado. Dr. Gantt specializes in simulation-based nursing education , with research focusing on interprofessional training, emergency care operations, and patient safety. Her work explores debriefing methodologies, simulation frameworks, and technology integration in clinical training. Selected scientific awards include: Fellow in the Society for Simulation in Healthcare (2022) Treasured Pirate Award, East Carolina University (2017) She has secured grants for projects such as Methods of Identifying Neurological Delirium (2018-2022) and Expanding Clinical Capacity Through Shared Human Patient Simulators (2007-2008) . Her lab collaborations include the Brody School of Medicine and Eastern AHEC. Dr. Gantt also serves on the Society of Simulation in Healthcare Standards and Technical Sub-Committee (2015) and reviews for journals like Journal of Emergency Nursing and Clinical Simulation in Nursing .

JoEllen SeftonView profile

Professor

• Tactical Athlete Health and Performance
• Injury Prevention
• Neuromechanics
• +5 more

JoEllen Sefton, Ph.D., ATC Ret., serves as Professor and Director of both the Warrior Research Center (WRC) and Neuromechanics Research Laboratory at Auburn University's School of Kinesiology. Her nationally recognized work focuses on reducing injury and enhancing health, wellness, and performance in military personnel, firefighters, and law enforcement through translational research and strategic partnerships with military laboratories, government agencies, and industry. Her academic foundation includes a Ph.D. in Interdisciplinary Biology & Sports Medicine from the University of North Carolina at Charlotte (2007), M.S. in Exercise Science (2003), Athletic Training certification (2001), Medical Massage Therapy training (1995), and B.S. in Zoology from Ohio University (1981). Ph.D.: Interdisciplinary Biology & Sports Medicine, UNC Charlotte (2007) M.S.: Exercise Science, Central Connecticut State University (2003) B.S.: Zoology, Ohio University (1981) Sefton's research program centers on tactical athlete human factors, integrating neuromechanics, injury prevention, and performance optimization. She pioneered the biennial WRC Tactical Athlete Summit connecting researchers with military and first responder units. Her field-based methodology bridges laboratory discoveries with real-world applications, focusing on physiological stress responses, equipment modifications, and evidence-based training protocols for high-risk occupations. This approach has generated over 100 publications addressing critical challenges in tactical performance. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research thrusts: physiological responses to occupational stressors (particularly in firefighting contexts), technological interventions for performance enhancement (including exoskeletons and virtual assessment tools), and musculoskeletal health optimization (focusing on myofascial pain and prosthetic integration). These studies consistently employ rigorous field testing combined with laboratory validation to develop actionable solutions for tactical populations. Sefton directs the Warrior Research Center, which evolved from the 8-year Warrior Athletic Training Program providing comprehensive injury care for military personnel. Her leadership fosters interdisciplinary collaboration across 15+ military units and research institutions, securing federal and industry funding to address complex human performance challenges. Current initiatives include developing predictive injury models, validating wearable monitoring technologies, and creating occupation-specific fitness standards that account for sex differences and environmental stressors.

• Human-Computer Interaction
• User Interface Design
• eHealth Services
• +4 more

Martin Östlund is an Assistant Professor in Media Technology at Linnaeus University's Faculty of Technology. He divides his time between teaching courses in Human-Computer Interaction and User Interface Design, and conducting research in web-based communication services with a specialization in eHealth applications. His research focuses on: Developing technology-enhanced solutions for healthcare, including tablet-based tools for cancer patients undergoing radiotherapy Creating virtual reality systems for pharmaceutical consultation and education Designing STEM learning activities through projects like Science4Girls Applying systems-based approaches to technology evaluation and quality improvement Östlund leads research at the Center for Learning and Knowledge Technologies (CeLeKT), where his team explores mobility, social media, and technology-enhanced learning. His publications demonstrate a consistent focus on applying interactive technologies to healthcare challenges, particularly in oncology support and pharmaceutical education.