جستجوی استاد راهنمای دانشگاهی

Jeff Huangمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Data Science
• Health Informatics (eHealth/mHealth)
• +۳ مورد دیگر

Jeff Huang is an Associate Professor and Associate Chair of Computer Science at Brown University. His research focuses on Human-Computer Interaction (HCI), with emphases on personalized systems using behavioral data, health informatics, and user interfaces. Huang holds a PhD from the University of Washington and degrees from the University of Illinois at Urbana-Champaign. His work is funded by NSF, NIH, and ARO, and he has received awards including the NSF CAREER Award and ARO Young Investigator Award. Education: PhD in Information Science, University of Washington (2013) MS in Computer Science, University of Washington (2013) BS and MS in Computer Science, University of Illinois at Urbana-Champaign (2007) Research Interests: His work spans health informatics (e.g., sleep tracking systems like Self-E and SleepCoacher), user interface design, and leveraging behavioral data for personalized systems. Notable projects include WebGazer (webcam eye tracking), filtered.ink (creative illustration tools), and Sochiatrist (mental health analytics). Teaching: He teaches courses on user interfaces, HCI, and research methods, including CSCI 0130/1300 (User Interfaces), CSCI 2300 (HCI Seminar), and CSCI 2000 (Research Methods). Awards: NSF CAREER Award Facebook Fellowship ARO Young Investigator Award Grants & Advising: Huang leads a research group advising over 50 students, many of whom have pursued academic and industry roles. His grants support projects in HCI, health tech, and collaborative systems.

WANG Yeمشاهده پروفایل

دانشیار

• Sound and Music Computing
• Music Information Retrieval
• eHealth
• +۱۲ مورد دیگر

WANG Ye is an Associate Professor in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD in Information Technology from Tampere University of Technology, Finland, and has been a tenured faculty member at NUS since 2002, following his industry research role at Nokia Research Center. He is the director of the Sound and Music Computing Lab at NUS, leading cutting-edge research in AI-driven music and health technologies. PhD, Information Technology, Tampere University of Technology, Finland (2002) MSc, Telecommunications, Braunschweig University of Technology, Germany (1993) BSc, Telecommunications, South China University of Technology, China (1983) His research is centered on Sound and Music Computing for Human Health and Potential (SMC4HHP) , with a focus on eHealth, eLearning, mobile/wearable computing, and music information retrieval. His work spans AI for stroke rehabilitation, language learning through singing, singing voice synthesis, and automatic music transcription. He has pioneered systems like SLIONS (language learning via karaoke), CocoLyricist (AI co-creation for stroke recovery), and SinTechSVS (expressive singing voice synthesis). The latest articles highlight a strong trend in AI-driven music and health technologies , particularly in controllable lyric generation, singing voice synthesis, automatic pronunciation assessment, and multimodal music transcription. The research increasingly integrates large language models, explainable AI, fairness, and real-world deployment, reflecting a shift from theoretical exploration to practical, human-centered applications in healthcare and education. Dr. Wang has received numerous scientific honors, including: Best Paper Awards at ACM MM, ISMIR, IEEE ISM, and CHI First Prize, Asia Pacific Assistive, Rehabilitative, and Therapeutic Technologies Challenge (2015) Faculty Teaching Excellence Award, NUS School of Computing (2024) Top Paper Award, ACM Multimedia 2022 AI in Medicine Collaborative Grant for CocoLyricist project He has supervised over 11 PhD and 20 MComp students and is currently guiding six PhD candidates. His grants come from MOE, NRF, A*STAR, Nokia, and Smule. He has served as General Chair of ISMIR2017 and TPC Co-Chair of ICOT2017, and is on the editorial boards of IEEE Transactions on Multimedia and Journal of New Music Research. He has also developed and taught the first course on Sound and Music Computing in Singapore. Dr. Wang leads the Sound and Music Computing Lab (SMC Lab) , a multidisciplinary team exploring the synergy of music computing, AI, mobile technology, and cloud systems for health and education. The lab actively collaborates with medical institutions such as NUS Yong Loo Lin School of Medicine, Singapore General Hospital, and Harvard Medical School, and is currently working on projects in AI-supported language learning, stroke rehabilitation, and intelligent music interfaces.

Kåre Synnesمشاهده پروفایل

استاد

• Pervasive Computing
• Mobile Computing
• Distributed Systems
• +۳ مورد دیگر

Kåre Synnes is a Professor in Pervasive and Mobile Computing at Luleå University of Technology, where he is affiliated with the Department of Computer Science, Electrical and Space Engineering. He is an active researcher and educator, recognized as an "Excellent lärare" (Excellent Teacher) and maintains his office in Luleå at location A3305a. Professor Synnes conducts research in pervasive computing and multimedia communication, with significant applications in eHealth. His work bridges theoretical computer science with practical implementations in distributed systems. He is also an affiliated researcher at the Centre for Distance-spanning Technology (CDT), focusing on technologies that enable communication across geographical boundaries. His recent publications demonstrate a clear trajectory toward sustainable computing solutions, with emphasis on circular economy applications, supply chain management, and environmental impact assessment. His research integrates computer science with economic and sustainability principles, showing how digital technologies can address contemporary environmental challenges through innovative auction systems, behavior analytics, and resource management frameworks. IST Prize winner as co-founder of Marratech AB Synnes has been deeply involved in European research projects since 1995, including multiple Framework Programme projects (FP4 through FP7). His work as an expert/reviewer for European projects since 2009 demonstrates his standing in the research community. His entrepreneurial success with Marratech AB, which was acquired by Google to form the basis for Google+ Hangouts, shows his ability to translate research into impactful commercial applications. Professor Synnes maintains strong connections with industry through his European project work and his entrepreneurial experience. His research group likely focuses on pervasive computing applications with real-world implementations, particularly in eHealth contexts, though specific lab details aren't provided in the available information.

Lourdes Pena-Castilloمشاهده پروفایل

استاد

• Bioinformatics
• Genomics
• Machine Learning
• +۵ مورد دیگر

Dr. Lourdes Pena-Castillo is a Professor jointly appointed in the Departments of Computer Science and Biology at Memorial University of Newfoundland's Faculty of Science. Her research focuses on applying machine learning and bioinformatics to study bacterial gene regulation, with emphasis on transcriptomics, gene expression pathways, and microbiology. She leads the Bioinformatics Lab at MUN, developing computational tools like Promotech for promoter prediction and sRNARFTarget for sRNA target identification. Education: BSc in Information Systems Engineering, ITESM-Mexico MSc in Computer Science, University of Alberta PhD in Computer Science (Doktoringenieurin), Otto-von-Guericke Universität Magdeburg Postdoc in Bioinformatics, University of Toronto Research Interests: Bioinformatics, Genomics, Machine Learning, Artificial Intelligence, Transcriptomics, Gene Regulation, Microbiology Her work integrates computational methods with biological data to address challenges in molecular biology, including analyzing bacterial sRNA functions, promoter recognition, and disease diagnostics using machine learning. She has advised numerous graduate students, including PhD candidates Purvikalyan Pallegar and Bonita McCuaig, and MSc students like Ruben Chevez-Guardado and Kratika Naskulwar. Her lab focuses on translational research with applications in both basic science and clinical contexts. Publications span computational methods for bacterial gene regulation, bioinformatics tool development, and interdisciplinary projects in VR and healthcare informatics. Her research has contributed to understanding symbiotic relationships in marine organisms, inflammatory bowel disease diagnostics, and clavulanic acid production in Streptomyces. Grants & Collaborations: Works with interdisciplinary teams across computer science and biology, supported by grants enabling projects in bacterial genomics and computational tool development. Labs & Teams: Leads the Bioinformatics Lab at MUN, fostering collaborations with researchers in microbiology, computer science, and healthcare.

• Artificial Intelligence
• Bayesian Networks
• Machine Learning
• +۶ مورد دیگر

Dr. Peter J.F. Lucas is a Full Professor specializing in Datamanagement & Biometrics with over 35 years of experience in artificial intelligence, probabilistic graphical models, and clinical decision support systems. His research spans intelligent systems, machine learning, and eHealth, with a focus on applying Bayesian networks and probabilistic logic to medical and non-medical domains.

FOONG Pin Symمشاهده پروفایل

دانشگاهی

• Patient decision aids
• Mobile health applications
• Lifestyle change and motivation
• +۴ مورد دیگر

FOONG Pin Sym is a Senior Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. She leads the Telehealth Core, a research center focused on developing and studying eHealth projects. Her academic background includes a Master's in Human Computer Interaction Design and a PhD in Interactive Media. Her research emphasizes patient-centered technologies, with a focus on chronic disease prevention, caregiver support, and mobile health applications. Her work addresses challenges in healthcare decision-making, end-of-life care, and lifestyle interventions. Notable projects include developing digital tools for diabetes risk communication, caregiver decision support systems, and studies on telehealth during the pandemic. She teaches courses in Human-Computer Interaction, Mobile Interaction Design, and Technology for Older Adults. Her research spans qualitative and quantitative methodologies, including randomized controlled trials and participatory action research. She actively participates in interdisciplinary collaborations across health, technology, and design sectors to improve patient and caregiver outcomes. Education: PhD in Interactive Media, Master's in Human Computer Interaction Design Labs/Teams: Leads the Telehealth Core research team Grants/Projects: SMART-GDM Study, Vita project for dementia care

• Biomedical Signal and Image Processing
• Cardiovascular and Neural Modeling
• Physiologically-interpretable Artificial Intelligence systems
• +۵ مورد دیگر

Gaetano Valenza is an Associate Professor of Bioengineering at the University of Pisa, Italy, where he leads the Neuro-Cardiovascular Intelligence Lab at the Enrico Piaggio Research Centre. He holds affiliations with the Neuroscience Statistics Research Laboratory at MIT and has served as a Research Fellow at Harvard Medical School and Massachusetts General Hospital. His academic work spans bioengineering, computational physiology, and affective computing. His research focuses on statistical and nonlinear biomedical signal and image processing , cardiovascular and neural modeling , and physiologically interpretable artificial intelligence . He develops wearable systems for physiological monitoring, with applications in autonomic nervous system assessment, brain-heart interactions, and mental health. His work has led to novel metrics such as the Sympathetic and Parasympathetic activity indices derived from ECG. The 15 most recent publications reflect a consistent trend in brain-heart interplay , complexity analysis of physiological signals , explainable AI in healthcare , and virtual reality applications in mental health . His work integrates advanced signal processing, nonlinear dynamics, and machine learning to decode emotional and cognitive states from physiological data. Dr. Valenza is a Senior Member of IEEE and serves on several technical committees. He is an active editorial leader, currently serving as Associate Editor for IEEE-EMBC , Plos One , Complexity , and Scientific Reports , and has guest-edited special issues in Philosophical Transactions of the Royal Society A and IEEE Journal of Biomedical and Health Informatics . He has led or participated in numerous international research projects, including FP7 and H2020 initiatives such as NEVERMIND and EXPERIENCE. He teaches courses in Biostatistics, Probability & Biostatistics, and Advanced Image Processing at the University of Pisa. As lab head and project coordinator, he leads a multidisciplinary team working on neuro-cardiovascular intelligence, wearable systems, and AI-driven mental health interventions.

Wendy Ballietمشاهده پروفایل

استادیار

• Behavioral Medicine
• Transplantation
• Living Donation
• +۵ مورد دیگر

Wendy Balliet is an Assistant Professor at the Medical University of South Carolina (MUSC), affiliated with the College of Medicine and the Department of Psychiatry and Behavioral Sciences. She earned her PhD in counseling psychology with a health psychology concentration from Virginia Commonwealth University, completed a pre-doctoral internship at the University of Florida Health Science Center (Medical Psychology rotation), and a postdoctoral fellowship in behavioral medicine at MUSC. Key Roles: Associate Co-Director of Clinical Operations for the Division of Bio-behavioral Medicine Supervisor for interns in the Behavioral Medicine Clinic (Charleston Consortium Psychology Internship Program) Researcher and clinical provider in psycho-oncology and transplant behavioral health Her research focuses on behavioral medicine , psycho-oncology , and transplant/living donation psychology. She investigates body image distress in cancer survivors , mental health in transplant populations , and telemedicine-based cognitive behavioral therapy (CBT) . Her work includes the BRIGHT trial for tele-CBT in head and neck cancer survivors and studies on caregiver burden, peer mentoring programs (TRIO), and psychosocial factors in organ transplantation. Her clinical efforts span patient care, committee service (Grand Rounds, hospital-wide initiatives), and training for postdoctoral fellows and medical students. She emphasizes integrating psychosocial interventions with medical outcomes , particularly in cancer and transplant settings, and has developed educational resources like the Organ Transplant Caregiver Toolkit.

• Human-Centered Design
• Sustainable Design
• Inclusive Design
• +۵ مورد دیگر

Dr. Stella Boess is a Researcher at the Department of Industrial Design Engineering, Faculty of Industrial Design Engineering at Delft University of Technology. She focuses on interdisciplinary research bridging social sciences and engineering, particularly in sustainable renovation, accessibility, and health technology. Her work emphasizes user-centered design in residential environments, addressing challenges such as heat pump adoption and inclusivity for visually impaired individuals. She teaches courses like Inclusive Design and Prototyping for Interaction , and has collaborated on projects including the HiPP initiative for optimized patient experiences and the NWO usability project. She appeared in media such as NPO's Programme Reference Man in 2022. Her research interests include human-technology relations, sustainable building practices, and co-creation methodologies. She explores how design interventions impact occupant behavior and satisfaction, advocating for holistic approaches to integrate technology with human practices. Recent projects also address mobility design improvements for automotive interiors and inclusive medical solutions for the Global South. Research Projects: HiPP: Optimizing orthopedic patient care pathways NWO design for usability project REIL project: Enhancing rehabilitation interactions AAL project MyGuardian: Supporting aging populations Stella’s publications from 2022 to 2025 reflect a trend toward analyzing socio-technical dynamics in sustainable housing and mobility systems. She highlights the importance of stakeholder collaboration and participatory frameworks to ensure equitable outcomes. No scientific awards are listed, but her contributions to inclusive design and zero-energy renovation are notable.

Atakan Aralمشاهده پروفایل

دانشیار

• Edge Computing
• Distributed Systems
• Cloud Computing
• +۶ مورد دیگر

Atakan Aral serves as an Associate Professor at the Faculty of Computer Science, University of Vienna, where he leads research in edge computing, distributed systems, and environmental monitoring applications. His work focuses on developing efficient and resilient computing systems for environmental applications, with particular emphasis on neuromorphic edge AI and the cloud-edge continuum. He maintains an active teaching schedule offering courses in Distributed Systems Engineering, Cloud Computing, and Practical Software Courses with Bachelor's Thesis work across multiple semesters through 2025. Dr. Aral's research interests span several critical areas in modern computing including edge computing architectures, federated learning approaches, neuromorphic computing for environmental monitoring, and resilient systems design. His work addresses fundamental challenges in resource-constrained environments, particularly focusing on latency-sensitive applications and energy-efficient computation. The interdisciplinary nature of his research bridges theoretical computer science with practical environmental applications, developing systems that can operate effectively in remote or resource-limited settings. Analysis of his recent publication trajectory reveals a clear evolution from foundational cloud computing research toward increasingly specialized edge intelligence systems. Early work focused on resource allocation and scheduling in cloud environments, while his current research emphasizes neuromorphic approaches for sustainable environmental monitoring. His publications demonstrate growing interdisciplinary collaboration, particularly with environmental scientists, and increasing focus on practical implementations of theoretical concepts in real-world monitoring systems. Dr. Aral leads significant research projects including TROCI (Towards Resilient Operation of Critical Infrastructure), an ongoing initiative, and SWAIN (Sustainable Watershed Management Through IoT-Driven AI), which ran from February 2021 to February 2024. His work spans multiple dimensions of computing systems, from hardware-aware algorithms to application-level implementations, with consistent contributions to major conferences and journals in distributed systems and edge computing. He is an active member of the Scientific Computing research group at the University of Vienna, working from Room 6.49 at Währinger Straße 29. His research environment includes collaboration with the Environment and Climate Research Hub, reflecting the interdisciplinary nature of his work that bridges computer science with environmental applications. His publications indicate strong international collaboration across European institutions and research groups.

• Wound Healing & Tissue Repair
• Pressure Ulcer Prevention
• Nursing & Midwifery Education
• +۴ مورد دیگر

Prof. Zena Moore is a renowned academic and clinician serving as Professor and Head of the School of Nursing & Midwifery at RCSI, University of Medicine and Health Sciences. She holds adjunct professorships at Curtin University (Australia), Griffith University (Australia), Cardiff University (UK), Ghent University (Belgium), and Fakeeh College for Medical Sciences (Saudi Arabia). Her research focuses on wound healing, pressure ulcer prevention, and nursing education, with over 300 publications. She leads the Skin Wounds and Trauma (SWaT) Research Centre and chairs multiple international bodies including the European Pressure Ulcer Advisory Panel. Education: PhD in Wound Healing (RCSI), MSc in Leadership in Health Education (RCSI), MSc in Wound Healing (University of Wales), FFNMRCSI, and Diplomas in Management and Nursing. Research Interests: Wound pathophysiology, pressure ulcer risk assessment, technologies for early detection, and healthcare equity. Awards: 2022 Lifetime Achievement Award from World Union of Wound Healing Societies. Her work spans over 50 funded projects, including grants from Science Foundation Ireland and the National Health and Medical Research Council. She has supervised numerous research projects on topics like pressure ulcer prevention algorithms and eHealth interventions.

Dongming Xuمشاهده پروفایل

دانشیار

• IT innovation and entrepreneurship
• Social media use in business
• Disaster management
• +۱۰ مورد دیگر

Dongming Xu is an Associate Professor in Business Information Systems at the University of Queensland Business School. She holds a PhD from the City University of Hong Kong in Information Systems and has established herself as a prominent researcher in the field of information systems with over 100 publications in top-tier journals and conference proceedings. Her educational background includes a PhD from City University of Hong Kong in Information Systems, though specific details about earlier degrees are not provided in the available text. Dr. Xu's research focuses on the confluence of information technology use and innovation, with particular emphasis on IT entrepreneurship, social media applications in business contexts, and business intelligence systems. Her work explores how information systems influence society and business performance, with applications spanning disaster management, eFinance, eHealth, and knowledge management. She combines theoretical model building with laboratory and field experiments, often developing prototype systems to validate her research. Her publication record demonstrates consistent high-quality output across multiple domains of information systems research, with recent work emphasizing digital disruption, platform ecosystems, social media in disasters, healthcare technology, and micro-learning applications. Her research shows a clear trajectory from foundational work on intelligent agents and decision support systems toward contemporary topics in digital transformation and platform-based innovation. Associate Editor, Information & Management Associate Editor, Journal of Electronic Commerce Research Associate Editor, Australasian Journal of Information Systems Dr. Xu has supervised numerous PhD students to completion, with research topics spanning digital disruption, IT startup development, social media in disasters, conceptual modeling, and environmental management. She has received multiple research grants, including current funding for 'Empowering Australia's Visual Arts via Creative Blockchain Opportunities' (2023-2026) and past projects on 'Smart micro learning with open education resources' (2018-2022). Her research has been supported by various agencies including the Hong Kong Government Research Grant Council, The National Natural Science Foundation of China, The University of Queensland, and City University of Hong Kong. She leads research in several key areas including IT entrepreneurship, business intelligence systems, and social media applications across multiple domains. Her work often involves developing innovative systems such as web-service-agent-based family wealth management systems, decision support systems for securities exception management, and knowledge management systems for disaster management.

• Human-Computer Interaction
• Digital Health
• Mixed Reality
• +۴ مورد دیگر

Ryan Kelly is an Associate Professor in the School of Computing Technologies at RMIT University, specializing in Human-Computer Interaction (HCI), digital health, and mixed reality. His research focuses on technology-enabled social connection and wellbeing, including designing communication tools for close relationships, digital health initiatives like the Music-Attuned Care via eHealth (MATCH) project, and VR applications for mental health. He collaborates with industry partners such as Google, Netflix, and the Worldwide Fund for Nature, and has developed technologies for older adults, including simplified video calling systems for aged care during the pandemic. His work has been featured globally in media, including Al-Jazeera's documentary All Hail the Algorithm . He actively contributes to the HCI community as a reviewer and committee member for conferences like ACM CHI and CSCW, holding roles such as Editor for CSCW 2025 and Awards Co-Chair for CSCW 2023. Ryan supervises PhD candidates exploring human-centered AI for social connection and online safety for older adults. His research aligns with UN Sustainable Development Goals 3 (Good Health), 9 (Industry Innovation), and 11 (Sustainable Cities). Key projects include the VR mindfulness application used by over 200,000 Australians and the Painpad device for pain logging in UK hospitals. He advocates for participatory design frameworks, emphasizing ethical AI and technology’s role in fostering meaningful human experiences.

• Public Health
• eHealth
• mHealth
• +۱۲ مورد دیگر

Silje C. Wangberg is a Professor of Public Health and serves as Vice Dean for Research Education and Practice for Nursing BSc and further education programs at UiT The Arctic University of Norway, Campus Narvik. She is a psychologist with a holistic perspective on health and disease, focusing on supporting individuals in taking the best possible care of themselves to live a good life with optimal physical, mental, emotional, social, and spiritual well-being. Her primary research interests include: eHealth and mHealth applications Health behavior and behavior change Health promotion and prevention Physical activity and smoking cessation Diabetes and heart disease management Social inequality in health Mindfulness, yoga, and meditation Dr. Wangberg's extensive publication record demonstrates consistent focus on digital health interventions, particularly examining how internet and mobile technologies can support health behavior change across various populations. Her recent work shows increasing emphasis on specialized populations including individuals with intellectual disabilities and exploration of emerging technologies like augmented reality in healthcare education. She maintains a strong interest in addressing health inequalities through technological solutions while recognizing the continued importance of human factors in health management. She is an active member of the HEL research group focused on Public Health and Rehabilitation, and participates in the One Health project at Campus Narvik.

Kathryn Macapagalمشاهده پروفایل

دانشیار

• Sexual health and behavior
• HIV prevention
• Pre-exposure prophylaxis (PrEP)
• +۷ مورد دیگر

Kathryn Macapagal, PhD is an Associate Professor at Northwestern University's Feinberg School of Medicine with appointments in Medical Social Sciences (Implementation Science), Medical Social Sciences (Intervention Science), and Psychiatry and Behavioral Sciences. She is a licensed clinical psychologist with expertise in health psychology and serving LGBTQ individuals and people living with HIV/AIDS. Her research focuses on translational, social-behavioral and implementation science approaches to improve the health and wellbeing of sexual and gender minority (SGM) adolescents and young adults. She employs online, technology-based, and community-engaged research methods to understand sexual health and HIV prevention needs of SGM adolescents, developing digital behavioral health interventions to address these needs. Dr. Macapagal's work includes examining awareness and use of HIV pre-exposure prophylaxis (PrEP) among SGM adolescents, exploring use of online spaces for sexual development, and developing text-message interventions to improve HIV testing access. Her research portfolio demonstrates strong trends toward implementation science, digital health interventions for HIV prevention, and addressing health disparities among marginalized youth populations through innovative technological approaches. She serves on several professional leadership roles including as Chair of the Health Equity Special Interest Group for the Society for Digital Mental Health (2023-present) and as a Member of the University of Minnesota Institute for Sex and Gender Health Annual Survey Advisory Council (2022-present). She previously served as Associate Editor for Archives of Sexual Behavior (2020-2023) and on the Medical Advisory Board for Flo Health (2019-2022). Dr. Macapagal leads active clinical trials including a text messaging program designed to increase sexual health information and behavioral skills for LGBTQ+ teens (IRB number STU00217358). She is affiliated with the Institute for Public Health and Medicine (IPHAM) and the Northwestern University Clinical and Translational Sciences Institute (NUCATS).