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Dhaval SolankiView profile

Assistant Professor

• Wearable Devices
• Biomedical Signal Processing
• Embedded Systems
• +4 more

Dhaval Solanki serves as an Assistant Professor in the Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island, where he co-directs the Wearable Biosensing Lab. His work bridges engineering innovation with healthcare applications, focusing on real-world implementation of accessible medical technologies. His academic foundation includes: Ph.D. in Electrical Engineering from Indian Institute of Technology Gandhinagar (2020) M.Tech. in Electrical Engineering from Indian Institute of Technology Gandhinagar (2015) B.E. in Electronics and Communication Engineering from Gujarat Technological University (2013) Solanki's research centers on wearable health technologies that transform medical electronics into practical solutions. He develops smart textiles, biosignal processing systems, and embedded devices for continuous health monitoring, with emphasis on shifting healthcare from reactive to proactive personalized care. His human-centered design approach integrates engineering precision with clinical needs across neurological rehabilitation and chronic disease management. Analysis of his 15 most recent publications reveals dominant trends in wearable biosensing for neurological disorders (Parkinson's, stroke, ADHD, epilepsy), with significant focus on textile-based physiological monitoring systems and virtual reality rehabilitation platforms. His work consistently addresses real-world challenges like motion artifacts in clinical settings and usability for diverse patient populations. As an educator, Solanki mentors students in the Wearable Biosensing Lab while teaching electrical and biomedical engineering courses. His research is supported by federal and foundation grants targeting healthcare technology innovation, with recent projects spanning neonatal monitoring, geriatric care, and digital interventions for substance use disorders.

Chi H. LeeView profile

Professor

• Drug Delivery Systems
• Transmucosal Drug Delivery
• STD Prevention
• +5 more

Dr. Chi H. Lee is a Professor at the University of Missouri-Kansas City School of Pharmacy. His research program focuses on two primary areas: 1) Formulation development for preventing sexually transmitted diseases (including AIDS) and cancer onset through innovative transdermal/transmucosal drug delivery systems, and 2) Calcium-related regulation mechanisms in fertility control, cardiovascular diseases, and skin pathologies. His investigations examine drug transport phenomena, skin enzyme interactions, polymer base effects, and enhancer mechanisms for percutaneous drug absorption. He develops computational models and specialized cell lines to optimize therapeutic delivery systems for contraception, STD prevention, and cancer intervention strategies.

Gayle PrybutokView profile

Associate Professor

• Health Communication
• Healthcare Quality Improvement
• Health Education
• +4 more

Gayle Prybutok is an Associate Professor in the Department of Rehabilitation and Health Services at the University of North Texas. She holds a BSN, MBA, and Ph.D. Her research focuses on health communication, healthcare quality improvement, and addressing health disparities through digital technologies. She has advised doctoral students Rifat Afrin and Renata Komalasari on numerous publications. Key research areas include the impact of social media on health behaviors, the role of technology in reducing social isolation among older adults, and chronic disease management strategies. Her work frequently examines healthcare access challenges faced by marginalized populations, particularly in Texas and border regions. Dr. Prybutok's recent publications explore AI applications in dementia care, social media's influence on dietary habits, and the portrayal of health issues in media. She emphasizes teaching doctoral students publishing skills through collaborative research. Her work demonstrates strong methodological rigor, combining quantitative analyses (e.g., GIS mapping for health disparities) with qualitative approaches (e.g., framing analysis of newspaper coverage). Ongoing projects include investigating COPD patient communities and post-pandemic telehealth adoption patterns.

Brett McKinneyView profile

Professor

• Machine Learning
• Bioinformatics
• Astrobiology
• +5 more

Brett McKinney, Ph.D., is a Professor of Computer Science and Mathematics at The University of Tulsa, holding the Warren Foundation Chair in Bioinformatics and serving as Dean Fellow. He leads the McKinney Lab, focusing on machine learning applications in biomedical and physical sciences, including astrobiology and quantum mechanics. His research spans explainable AI models for biosignature detection, epidemiological modeling, and theoretical physics. Education: Summa cum laude B.S. in Mathematics and Physics from TU (1996), M.S. (1999) and Ph.D. in Theoretical Physics from OU (2003). Postdoctoral training in biomathematics at Vanderbilt University Medical Center preceded his faculty role at UAB School of Medicine before joining TU. His dual departmental appointment bridges Computer Science and Mathematics in the College of Engineering & Computer Science. Research emphasizes machine learning for gene-gene interactions, network feature selection, and astrobiology missions. Notable contributions include the GAGE model for depression, C-NPDR feature selection, and autonomous science systems for ocean world exploration. He collaborates with institutions globally on neuroscience, immunology, and geochemistry projects. Awards: Warren Foundation Chair in Bioinformatics Labs: McKinney Lab (AI/ML applications) Publications: Over 70 peer-reviewed articles on AI in biosciences, quantum mechanics, and epidemiology His work combines computational theory with real-world applications, advancing interdisciplinary research in health and space science.

Linqi LuView profile

Lecturer

• Communication
• Artificial Intelligence
• Public Health
• +3 more

Linqi Lu is a Lecturer and Ph.D. candidate in the School of Journalism and Mass Communication at the University of Wisconsin-Madison . She holds minors in Computer Science and Educational Psychology (Quantitative Methods) . Her research is interdisciplinary, focusing on the intersection of communication , artificial intelligence , and public health , with an emphasis on multimodal communication and health technology . She contributes to research groups such as SMAD, KEG, CAMER, HITS, MCRC, and the ML+X machine learning community. Her research explores topics like health warnings on cannabis edibles, visual framing in social protests, AI tools for communication analysis, and mHealth interventions for HIV management. She has published in journals like Journal of Health Communication , Preventive Medicine , and conference proceedings like HICSS. Recent work highlights include evaluating AI models like ChatGPT for content analysis, developing chatbots for health advice (e.g., Purrfessor), and examining metaphor framing in pandemic communication. Her articles also address LGBTQ+ narratives, vaccine communication, and consumer behavior in digital advertising. Lu has no listed scientific awards but actively engages in collaborative research across disciplines. She advises no students but is involved in teaching and mentoring at the undergraduate level. She participates in labs and teams focused on computational methods and health communication.

Stefan NehrerView profile

Professor

• Regenerative Medicine
• Orthopedics
• Biomedical Engineering
• +4 more

**Dr. Stefan Nehrer** is a **Professor and Dean of the Faculty of Health and Medicine** at the University for Continuing Education Krems. His research focuses on regenerative medicine, orthopedics, and the application of artificial intelligence (AI) in medical diagnostics. Key areas of expertise include cartilage repair, osteoarthritis therapy, and tissue engineering. He leads projects such as ‘Artificial Intelligence in Orthopedic Radiography Analysis’ and ‘Minced Cartilage in Regenerative Medicine.’ **Research Projects**: Assessing biomechanical biomarkers for knee osteoarthritis (2024–2027) Nutrition and movement for osteoarthritis self-efficacy (2022–2025) AI-driven analysis of radiographic images for knee and spinal conditions **Publications**: His work spans journals like *Biomacromolecules*, *Macromolecular Bioscience*, and *Journal of the Mechanical Behavior of Biomedical Materials*, with a focus on 3D bioprinting, biomaterials, and AI applications. Recent studies explore silk fibroin hydrogels for meniscus regeneration and deep learning for Cobb angle measurements. **Awards & Recognition**: While no specific awards are listed, his contributions to regenerative medicine and AI in healthcare highlight significant scholarly impact. **Grants & Funding**: Projects funded by Austrian federal programs and industry collaborations, such as ‘Additive Manufacturing for Partial Implants’ (2022–2024). **Labs/Teams**: His work integrates interdisciplinary teams in biomedical engineering, orthopedics, and AI, with a focus on translating research into clinical practice.

Hironao OkahanaView profile

Adjunct Professor

• Graduate Education
• Public Policy
• Science and Society
• +3 more

Hironao Okahana is an adjunct professor in the Higher Education Program at George Mason University (since 2015) and serves as vice president and executive director of the Education Futures Lab at the American Council on Education (ACE). He holds a PhD in Education and M.A. in Public Policy from UCLA, along with undergraduate degrees in Economics and Environmental Science from California State University, Long Beach. His work focuses on advancing postsecondary education as a public good through research, policy, and leadership development at the nexus of higher education, innovation, and social equity. He has held leadership roles including Board membership at the National Academies of Sciences, Engineering, and Medicine, and international affiliate fellowship at Japan’s National Institute of Science and Technology Policy. His teaching includes courses on higher education administration, policy, and independent studies. Recent research emphasizes graduate education challenges, STEM workforce diversity, and institutional responses during crises like the pandemic. Okahana’s publications address graduate enrollment trends, doctoral completion barriers, and policy reforms. He frequently contributes to national dialogues through media engagements and academic presentations, advocating for evidence-based institutional changes in higher education.

Manuel PardoView profile

Professor

• Cardiopulmonary Resuscitation (CPR)
• Emergency Medicine
• Virtual Reality in Medical Education
• +3 more

Manuel Pardo is a Professor and Vice-Dean at the Universidad Católica de Murcia (UCAM), affiliated with the Faculty of Health Sciences. His work focuses on integrating advanced technologies like virtual reality (VR) and artificial intelligence (AI) into medical education, particularly in cardiopulmonary resuscitation (CPR) training and emergency response protocols. He leads the New Technologies in Health Research Group, collaborating with organizations such as Synergy Tech and WorldProject NGO on projects like VR classrooms, CPR training apps, and humanitarian aid initiatives. Pardo’s research addresses biomechanical challenges in emergency rescue scenarios, disaster response (e.g., Türkiye earthquake relief), and pediatric health education. He has pioneered gamification and telesimulation methods to enhance healthcare training and patient safety. His work emphasizes ethical AI implementation and digital well-being in education. Pardo has coordinated international collaborations, including medical support in Uganda and Syria, reflecting UCAM’s commitment to global health equity. Education: While specific academic qualifications are not detailed, his roles as a professor and researcher indicate advanced training in health sciences, emergency medicine, or biomedical engineering. He has supervised graduate students like Miriam Mendoza, whose thesis developed a video game for CPR training under his mentorship. Research Interests: Virtual and augmented reality applications in medical training CPR and emergency response protocols Humanitarian disaster response Biomechanical analysis of rescue techniques Technology-driven healthcare education Grants & Collaborations: The Mapfre Foundation funded his CPR gamification project. UCAM supports initiatives like the Virtual Reality and Spatial Computing Classroom and the Ambulancia del Deseo España Foundation’s humanitarian efforts. He collaborates with NGOs such as WorldProject and Bomberos Unidos Sin Fronteras (BUSF). Labs/Teams: Director of the New Technologies in Health Research Group, contributing to innovations like the ODRPEEP oxygenation device for COVID-19 patients and the RCP.ucam.edu educational platform.

Eric TopolView profile

Professor

• Genomics
• Digital Health
• Artificial Intelligence
• +2 more

Eric Topol is Founder and Director of Scripps Research Translational Institute, Executive Vice President at Scripps Research, and holds the Gary and Mary West Endowed Chair of Innovative Medicine. A National Academy of Medicine member and top-cited researcher, he focuses on individualized medicine using genomic, digital and AI technologies. His research spans AI applications in healthcare, digital medicine, genomics, and translational science. Recent publications explore AI's role in clinical reasoning, medical imaging, and epidemic modeling, plus innovations in cardiology and Alzheimer's research. Topol leads major NIH initiatives including the All of Us Research Program and has authored influential books on medicine's digital future.

Norbert PalzView profile

Professor

• Digital Design
• Additive Manufacturing
• Computer Art
• +3 more

Prof. Dr. Norbert Palz is Professor for Digital and Experimental Design at Berlin University of Arts, where he served as President (2020-2025). His research explores digital fabrication processes, large-format additive manufacturing, and computational design methods. Education includes architecture studies at TU Berlin following a draftsman apprenticeship. Professional experience includes work with UN Studio, NOX Architects, and founding TARGADESIGN (art/architecture practice). Research contributions include EU Horizon 2020 projects on textile architectures and investigations into historical construction geometries for digital pedagogy. Current investigations focus on material behavior in large-scale 3D printing applications and computer art's architectural implications.

Shlomo BerkovskyView profile

Professor

• Artificial Intelligence
• Health Informatics
• Machine Learning
• +4 more

Shlomo Berkovsky is a Professor at Macquarie University's Australian Institute of Health Innovation (AIHI), leading research in AI for health and medical informatics. He is affiliated with multiple centers including the Data Horizons Research Centre and the Hearing Research Centre. His work focuses on AI-driven healthcare solutions, medical imaging analysis, and human-AI interaction. Key research areas include recommender systems, clinical decision support, and biomedical image processing. He leads collaborative projects like the Fujitsu Macquarie AI Research Lab, exploring next-generation behavior analysis and personalized AI coaching. Notable achievements include Best Paper Awards at ACM Conferences and the NSW iAward in Education. He serves on editorial boards for journals like ACM Transactions on Interactive Intelligent Systems and Frontiers in Robotics and AI . His research portfolio spans 228 publications and 14 active projects, with recent work on medical image classification, delirium-dementia links, and AI ethics in voice assistants. Collaborative projects emphasize industry partnerships and translational healthcare technologies.

• Pediatric Radiology
• Ultrasound Imaging
• Vascular System
• +4 more

Ramy El-Jalbout is an Associate Clinical Professor at the Faculty of Medicine, Université de Montréal, affiliated with the Department of Radiology, Radiation Oncology and Nuclear Medicine. He is based at the Centre hospitalier universitaire Sainte-Justine (CHU Sainte-Justine), specializing in pediatric radiology, ultrasound imaging, and vascular system research with a focus on obesity-related vascular changes in children. His research explores imaging techniques such as vascular elastography and carotid intima-media thickness measurements to assess early cardiovascular risks in pediatric populations. Education: Holds a Master's in Biomedical Sciences from Université de Montréal, with a thesis on vascular elastography and BMI correlations in children. Research interests include liver MRI, imaging sequelae of childhood obesity, and pediatric cardiovascular health. He leads projects on early vascular biomarkers and has been awarded a FRQS Salary Grant for Junior 1 Researchers (2021–2025). Notable grants include studies on preterm birth outcomes and vascular monitoring in neonates. Publications span topics like PHACES syndrome imaging, omega-3 effects on NAFLD, and computer-aided neonatal brain volume assessments. He mentors students in pediatric imaging and obesity-related vascular research, with advisees including Émilie Alchourron (M.Sc., 2024) and Jean-Baptiste Moretti (M.Sc., 2024). Affiliations include the HAPI-Kidney study team and the Réseau de bio-imagerie du Québec (RBIQ). He contributes to initiatives like the Advanced Pediatric Ultrasound Laboratory, fostering interdisciplinary research in medical imaging and child health.

Swapnil MishraView profile

Assistant Professor

• Global Health
• Machine Learning
• Bayesian Modelling
• +4 more

Dr. Swapnil Mishra is an Assistant Professor at the NUS Saw Swee Hock School of Public Health and the NUS Institute of Data Science. His work bridges global health challenges with machine learning and Bayesian modelling, focusing on spatiotemporal data analysis for epidemics and public policy. He co-founded the Machine Learning & Global Health Network with leading international institutions. Education: B.Eng., University of Pune, 2009 Masters Computing (Hons.), The Australian National University, 2014 Ph.D., The Australian National University, 2019 Research Interests: His research encompasses infectious disease modelling, hierarchical Bayesian approaches, and generative deep learning. He develops scalable models to understand epidemics like malaria and HIV, while also exploring crime patterns and online information diffusion. Key Contributions: Notable work includes SARS-CoV-2 lineage analysis in Brazil, evaluating non-pharmaceutical interventions during the pandemic, and developing the πVAE framework for Bayesian deep learning. His research often addresses real-world policy challenges, such as pandemic preparedness and disease surveillance. Awards: Singapore NRF Fellowship (2023) Queen’s Anniversary Prize (2021) SPI-M-O Award (2022) Blackwell-Rosenbluth Award (2022) Advisory Roles: Advised New York State and Herbert Smith Freehills on pandemic response strategies. His work integrates academic research with practical policy solutions. Labs/Teams: Leads interdisciplinary collaborations through the Machine Learning & Global Health Network, fostering global health science innovation.

Ana Maldonado-ContrerasView profile

Assistant Professor

• Gastrointestinal microbiome
• Diet-microbiome interaction
• Inflammatory Bowel Disease
• +4 more

Ana Maldonado-Contreras, PhD, is an Assistant Professor at UMass Chan Medical School where she holds the position of Marcellette G. Williams Scholar. She has multiple appointments across the institution including in the Department of Microbiology at the T.H. Chan School of Medicine, the Department of Population and Quantitative Health Sciences, the Program in Microbial Dynamics, and several departments within the Morningside Graduate School of Biomedical Sciences including Immunology and Microbiology Program, MD/PhD Program, Population Health Sciences, and Systems Computational and Quantitative Biology. Dr. Maldonado-Contreras earned her BA from the University of Zulia in Venezuela, her MS in Microbiology from the Instituto Universitario de Tecnologia in Caracas, and her PhD in Microbiology from the University of Puerto Rico. She completed postdoctoral research at the University of Massachusetts in Beth McCormick's lab with support from the Charles A. King Trust Postdoctoral Research Fellowship Program. Her research focuses on the gastrointestinal microbiome and diet-microbiome interactions, particularly in relation to inflammatory bowel disease (IBD). She has developed the IBD-Anti-Inflammatory Diet (IBD-AID™), a whole-food nutritional therapy that targets the gut microbiome through probiotic and prebiotic foods to reduce inflammation in IBD patients. Her work extends to culturally adapted versions of this diet, including the Dieta Anti-Inflamatoria or DAIN for Puerto Ricans with Crohn's disease. Analysis of her recent publications reveals a strong focus on translational microbiome research with emphasis on dietary interventions for IBD, maternal-fetal microbiome transmission during pregnancy, and the relationship between diet, microbiome, and disease outcomes across different ethnic populations. Her work increasingly incorporates clinical trial design and implementation to validate microbiome-based dietary interventions. Charles A. King Trust Postdoctoral Fellowship Program, The Medical Foundation Division (2013-2015) Research Scholar Award, American Gastroenterological Association (2016-2019) Faculty Diversity Scholar, Office of Faculty Affairs-UMMS (2015-2020) Dr. Marcellette G. Williams Distinguished Scholars (2020-21) Dr. Maldonado-Contreras leads an active research program with multiple clinical trials including the MELODY Trial (examining diet intervention during pregnancy for women with IBD), the DAIN study (a culturally adapted anti-inflammatory diet for Puerto Ricans with Crohn's disease), and the Cranberry Study. Her lab has received recognition in National Geographic and other media outlets for work on how the microbiome may influence immune response to viral infections including COVID-19. She has successfully mentored students including John, who recently passed his PhD qualifying exam. Her laboratory, the Maldonado-Contreras Lab, investigates how manipulation of the gut microbiota through diet can improve patient outcomes, with particular focus on chronic inflammatory illnesses, IBD during pregnancy, and IBD in Hispanic populations. The lab has collaborated with institutions including the University of Puerto Rico and has received visits from notable figures such as Congressman Jim McGovern.

• Computer Vision
• Natural Language Processing
• Computational Thinking in Education
• +3 more

Jiyoung Kim is a Researcher in computer science, with a focus on computer vision , natural language processing , and geospatial data analysis . She has collaborated extensively across disciplines, particularly in robotics , educational technology , and signal processing . Her research interests include: Developing advanced diffusion models for high-fidelity talking head generation . Creating automated pipelines for detoxifying Korean language in AI systems. Applying deep learning to haze removal and indoor navigation for accessibility. Exploring 6G communication through computer vision-aided beamforming . Recent publications highlight trends in multi-task learning , unsupervised segmentation , and geospatial knowledge graphs . Her work bridges theoretical and applied domains, from hardware design to educational interventions for computational thinking in early childhood.