جستجوی استاد راهنمای دانشگاهی

Hyunkyoung Oh serves as Associate Professor in the College of Nursing at the University of Wisconsin-Milwaukee, directing research on technology-enhanced self-management for adults with multiple chronic conditions (MCC) and autism spectrum disorder (ASD) families. Her work bridges nursing science with AI-driven health informatics to reduce disease burden through voice assistants, mHealth, and NLP applications. Education: PhD in Nursing, University of Iowa, Iowa City, IA MSN in Nursing, Chungnam National University, Daejeon, South Korea BSN in Nursing, Chungnam National University, Daejeon, South Korea Research Focus: Dr. Oh pioneers metabolic-focused MCC self-management using AI/voice technology for cardiovascular diseases, diabetes, and hypertension, while developing ASD communication support systems to enhance caregiver independence. Her Cardiac Health Behavior Scale (CHB-K21) validates nursing-sensitive outcomes, and her NSF/NIH-funded projects address health disparities through human-centered design. Publication Trends: Recent work (2020-2024) reveals three dominant trajectories: (1) Voice-activated self-monitoring tools (VoiS) for diabetes/hypertension, (2) Social media NLP analysis of lay health terminology, and (3) Robot-mediated exercise for geriatric populations. Over 70% of publications integrate AI with chronic disease management, emphasizing patient-centered technology adaptation. Scientific Recognition: Sigma Theta Tau Honorable Mention (2017) Ballard Seashore Dissertation Fellowship (2013) Midwest Nursing Research Society 2nd Place Award (2012) Grant Leadership: As PI on NIH R21NR019707 ($500k) and NSF I-Corps grants, she develops the VoiS platform and ASD learning app. Current $1.2M NIH U54MD018935-01 (Co-I) tackles maternal morbidity disparities. She mentors UWM SURF fellows in health tech innovation through 8 active projects. Research Infrastructure: Leads the Self-Management and Healthcare Delivery research groups, utilizing Cunningham Hall labs for prototyping voice interfaces and validating outcome measures with diverse patient populations.

• Multiple Chronic Conditions (MCC) Self-Management
• Health Informatics
• Nursing Informatics
• +۳ مورد دیگر

Dr. Benny Lo is a Visiting Professor at Imperial College London's Faculty of Medicine, affiliated with the Department of Metabolism, Digestion and Reproduction. He leads research in Body Sensor Networks (BSN), robotics, and AI-driven healthcare technologies. His roles include Associate Editor of the IEEE Journal on Biomedical and Health Informatics and former Chair of the IEEE EMBS Wearable Biomedical Sensors and Systems Technical Committee (2018-2019). Research interests span pervasive sensing, computer vision, machine learning, and wearable technologies for healthcare applications. He pioneered BSN research, focusing on platform development, sensor innovations, and clinical applications. His work has earned awards like the IEEE ICRA 2022 Outstanding Interaction Paper Award and BSN 2021 Best Paper Award (1st Prize). Key collaborations include the Hamlyn Centre, Centre for Translational Nutrition, and Institute of Global Health Innovation. He launched a Coursera MOOC on Advanced App Development for Android, emphasizing graphics and VR. His lab develops systems like the Automatic Ingestion Monitor (AIM-2) for dietary assessment and robotic endoscopic tools for minimally invasive surgery. Publications focus on surgical robotics, food intake monitoring, and medical AI, with recent emphasis on multi-modal vision models and federated learning for healthcare. His research bridges clinical needs with engineering solutions, addressing global challenges in nutrition and healthcare equity.

• Biomedical Engineering
• Artificial Intelligence and Image Processing
• Body Sensor Networks (BSN)
• +۷ مورد دیگر