Find Academic Supervisors

Mel WoodsView profile

Professor

• Creative Intelligence
• Citizen Science
• Environmental Monitoring
• +7 more

Mel Woods is a Professor and Chair of Creative Intelligence at the University of Dundee, Scotland. Her work bridges creativity, technology, and social innovation to address societal challenges through citizen science and environmental monitoring. Current roles: Principal Investigator (EATS, Urban ReLeaf), Co-Director (DesignHOPES) External appointments: UNFCCC Technology Advisory Group, UKRI Peer Review College Her research focuses on design-led climate action , participatory sensing , and data ecosystems for sustainability. She pioneered methodologies like the Making Sense project's 8-step process for urban pollution mitigation and the GROW Observatory's citizen agriculture initiatives. Recent projects include: EATS: Enhancing Agri-Food Transparency via digital systems Urban ReLeaf: Citizen-powered data for green urban transitions Scientific awards highlight her impact: Stephen Fry Award (2020) for Public Engagement PIEoneer Digital Innovation of the Year (2020) STARTS Prize Honorary Mention (2018) ADIM Workshop Excellence (2019) Woods supervises postgraduate students and leads collaborations across Europe, including partnerships with Strathclyde, Edinburgh, and Heriot-Watt universities. Her work aligns with UN Sustainable Development Goals, particularly Climate Action and Life on Land .

Haileab HilafuView profile

Associate Professor

• Causal Inference
• Statistical Learning
• Machine Learning
• +3 more

Haileab Hilafu is an Associate Professor and James & Connie Vavalides Faculty Fellow in Business Analytics and Statistics at the University of Tennessee's Haslam College of Business. With a PhD from the University of Georgia, his research integrates causal inference, statistical learning, and dimension reduction methods, applied to healthcare, retail, and environmental science. Research areas include: causal inference in hospital operations, machine learning for environmental hot-spot detection, high-dimensional regression, and cross-cultural retail analytics. Applications span healthcare quality improvement (readmission risk, surgical outcomes), precision agriculture (nitrous oxide prediction), and supply chain management. Publications bridge statistical methodology (sufficient dimension reduction, sparse regression) with domain applications in healthcare operations, environmental science, and retail analytics. Recent work emphasizes machine learning integration in empirical studies. Awards: ASCC Award (2022) MSBA Teaching Award (2018) Best Senior Student, UGA Statistics (2014) Teaching Assistant Award (2012)

Irfan KhanView profile

Assistant Professor

• Social Media Technologies in Healthcare
• Technology Adoption Theories
• Consumer Behaviour
• +5 more

Irfan Khan serves as an Assistant Professor of Marketing at the Canberra School of Business, University of Canberra. His academic journey includes a PhD in Management from the University of Canberra (2019), Master of Information Systems from Central Queensland University (2003), and MBA from Latrobe University (2002). His work contributes to UN Sustainable Development Goals through healthcare technology research. PhD in Management (University of Canberra, 2019) Master of Information Systems (Central Queensland University, 2003) MBA (Latrobe University, 2002) Dr. Khan's research centers on social media technologies in healthcare contexts , examining how digital platforms facilitate social support for health consumers and healthcare organizations. His work extends to technology adoption theories, consumer behavior (particularly halal food marketing), and workplace dynamics in digital environments. Recent projects include investigating health misinformation on social media during COVID-19 and developing the SugarMumma app for gestational diabetes management. Analysis of his publication trends reveals strong focus on human-computer interaction (chatbots, AR applications), health informatics (social media's role in healthcare), and AI adoption in business contexts. His work bridges marketing theory with practical healthcare technology solutions, demonstrating interdisciplinary impact across computer science, public health, and business management. Dr. Khan has secured multiple research grants including: SugarMumma smartphone app project (2022-2023) Social media and COVID-19 health misinformation study (2021) Health misinformation in social media networks project (2020) He actively supervises graduate research with 4 supervised works documented and currently accepts PhD students. His teaching encompasses Consumer Behavior, Digital Marketing, and Management Information Systems at undergraduate and postgraduate levels.

Alyna T. ChienView profile

Assistant Professor

• Health Economics
• Healthcare Policy
• Pediatric Healthcare
• +4 more

Alyna T. Chien, MD, MS, is an Assistant Professor of Pediatrics at Harvard Medical School and a practicing pediatrician at Boston Children’s Hospital. Her expertise lies in healthcare quality improvement, payment reform, and addressing disparities in care for vulnerable populations such as socioeconomically disadvantaged children, racial/ethnic minorities, and those with disabilities. She leads projects on pediatric risk adjustment models, price transparency in healthcare, and primary care delivery transformation. Education: Bachelor’s degree from University of Chicago (1989) MD from University of Chicago Pritzker School of Medicine (2001) Pediatric residency and Robert Wood Johnson Clinical Scholar Fellowship at University of Chicago (2006) Research Focus: Evaluating payment reforms like pay-for-performance Geocoding methods to improve pediatric risk adjustment Children with Disabilities algorithm development Impact of price transparency on physician decision-making Grants & Projects: Principal Investigator for NICHD-funded study on geocoded socioeconomic data in pediatric risk adjustment Robert Wood Johnson Foundation-funded trial on price transparency in imaging orders Lead on evaluating Harvard Medical School’s primary care redesign initiative Labs & Collaborations: Active in Boston Children’s Hospital’s research units, with a focus on translational research linking policy and clinical practice. Her lab website ( alynachien.org ) highlights ongoing projects and opportunities.

• Consumer Behavior
• Online Retail
• Blockchain Technology
• +5 more

Dr. Asle Fagerstrøm is an Associate Professor at the Department of Informatics, University of Oslo. His research focuses on consumer behavior, digital retail, and technology-enabled decision-making, particularly in grocery shopping, health, and sustainability contexts. He actively collaborates on interdisciplinary projects involving blockchain, AI, and smart city technologies. Key Research Areas: Consumer psychology, digital marketing, sustainable consumption, and human-computer interaction in retail. Methodological Expertise: Conjoint analysis, experimental design, behavioral economics, and consumer neuroscience tools. Recent publications analyze blockchain applications in retail, smart shopping cart impacts on health choices, and digital quality signals in sustainable consumption. His work bridges technology innovation with behavioral insights across international markets (Thailand, Finland, Norway). No formal student advising roles are documented, and no specific awards are listed in the provided data.

Julie A. KreyenbuhlView profile

Professor

• Serious Mental Illness
• Health Services Research
• Pharmacoepidemiology
• +3 more

Dr. Julie A. Kreyenbuhl is a Professor in the Department of Psychiatry at the University of Maryland School of Medicine and serves as Associate Director of the Research Core at the VA VISN 5 Mental Illness Research, Education, and Clinical Center (MIRECC). Her research focuses on pharmacoepidemiology of serious mental illness (SMI), evidence-based treatment guidelines for schizophrenia, and technology-based interventions to improve medication adherence. She holds grants from NIH, VA, and private foundations, contributing to over 90 peer-reviewed publications. Educational Background: PharmD (Magna Cum Laude), Mercer University College of Pharmacy, 1993 PhD, University of Maryland School of Pharmacy, 1999 Post-doctoral fellowship, Maryland Psychiatric Research Center, University of Maryland School of Medicine, 2000 Research Focus: Dr. Kreyenbuhl’s work emphasizes optimizing antipsychotic treatment adherence, comparative effectiveness of medications, and addressing metabolic side effects in SMI populations. She pioneered smartphone applications for medication adherence and investigates disparities in mental healthcare access among veterans, including racial differences in recovery outcomes and gender-specific management of medication side effects. Key Contributions: Co-developed updated Schizophrenia Patient Outcomes Research Team (PORT) guidelines, led studies on VA healthcare system performance, and explored expanding advanced practice nurses’ prescriptive authority to address psychiatrist shortages. Her work integrates large administrative datasets to inform clinical and policy decisions. Awards & Grants: Multiple NIH and VA grants supporting her research, though no specific named awards mentioned. Labs/Teams: Active in VA MIRECC Research Core and collaborates with interdisciplinary teams on technology-driven interventions and healthcare policy analyses.

• Health Informatics
• Healthcare Cybersecurity
• Medical Terminologies
• +5 more

Stefano Bonacina is an Assistant Senior Lecturer at Karolinska Institutet's Department of Learning, Informatics, Management and Ethics (LIME). He holds a Master of Science in Electronic Engineering (2000) and a Ph.D. in Bioengineering (2004) from Politecnico di Milano, Italy. His research focuses on Health Informatics, emphasizing medical terminologies, health IT standards, cybersecurity in healthcare, and consumer health applications. He leads Sabine Koch's Health Informatics group and teaches courses like 'Computer Applications in Health Care and Biomedicine'. Research interests include harmonizing health data exchange, evaluating medical app quality, and mitigating cybersecurity risks through training and standards. Recent work explores telemedicine assessment tools, data privacy in FemTech apps, and ontology development for traditional medicine integration. Published articles address pandemic impacts on medical education, diabetes app development, and IoT-driven healthcare solutions. His work bridges theoretical frameworks with practical applications, advocating for patient-centered technologies and robust cybersecurity practices.

Bhuvaneswari BaskaranView profile

Lecturer

• Higher Education
• Educational Access
• Online Teaching Efficacy
• +2 more

Bhuvaneswari Baskaran is a Lecturer at the Center for Professional Studies, University of Wisconsin-Parkside. Her research examines educational access, online teaching efficacy, and the digital divide in higher education, with a focus on underserved student populations. She holds an M.S. from Bharathidasan University. Baskaran investigates barriers to technological access and efficacy in online learning environments. Her publications explore smartphone reliance among disadvantaged students, cognitive presence enhancement through video pedagogy, and equitable strategies for underrepresented groups. Recent work emphasizes practical interventions to bridge digital inequalities in education. Articles demonstrate consistent themes: empirical analysis of technology-mediated learning, faculty adoption of service-learning models, and pedagogical innovations in family and consumer sciences. Methodologies emphasize mixed-methods approaches to evaluate educational outcomes. No significant scientific awards are documented in available sources. Teaching focuses on professional studies courses, with no specific advising roles noted.

Greg SongView profile

Assistant Professor

• Media Literacy
• Strategic Communication
• Digital Communication
• +7 more

Greg Song is an Assistant Professor in the Emerging Media program at the University of St. Thomas' College of Arts and Sciences. He teaches courses including Intro to Mass Media , Media Literacy , and Principles of Strategic Communication , focusing on media's societal impact and digital communication practices. His research spans media literacy, strategic communication, and digital ethics. Recent publications explore AI chatbot design, climate change misinformation mitigation, and privacy dynamics in personalized advertising. His work bridges communication theory with emerging technologies. While not explicitly stated, his publications suggest expertise in artificial intelligence , environmental messaging , and consumer digital behavior . Recurring themes include trust in technology , moral foundations in marketing , and social media's cultural influence .

Claire JoaView profile

Assistant Professor

• Media Effects
• Digital Media Communication
• Social Media Analysis
• +4 more

Claire Joa is an Assistant Professor in the Department of Mass Communications at the University of West Georgia, part of the School of Communication, Film, and Media. Her research focuses on media effects in digital and social media contexts, particularly behavioral contagion, self-directed learning, and emerging technologies’ impact on health and learning. She employs mixed methods including social big data analysis and network analysis. Her work appears in journals like Computers in Human Behavior and Journal of Interactive Advertising . Education: B.A., Mass Communications, Sogang University (2007) M.A., Mass Communications, Sogang University (2009) Ph.D., Media and Communication, Bowling Green State University (2017) Research Interests: Joa’s work explores how social media influences behavior and learning. Key areas include the role of platforms like Instagram and YouTube in recruitment, health education, and self-directed learning. She examines issues like sentiment contagion during elections, algorithmic recommendation impacts, and technology adoption across demographics. Her studies often combine quantitative methods with network and sentiment analysis. Teaching: She teaches courses such as Digital Media Industries , Digital Social Media & Society , and Research Methods in Digital & Social Media Communication . Recent course sections span Fall 2025 through Spring 2025. Publications: Her recent work addresses topics like Instagram’s role in hiring, marijuana use perceptions among college students, and YouTube’s influence on self-directed learning. Her research highlights trends in platform-specific communication, health-related messaging, and generational technology adoption differences.

Dante Anthony TolentinoView profile

Assistant Professor

• Type 2 Diabetes Management
• Asian American Health
• Filipino American Health Equity
• +7 more

Dante Anthony Tolentino is an Assistant Professor at the University of California, Los Angeles (UCLA) School of Nursing. His research focuses on reducing health inequities among Filipino Americans, particularly regarding type 2 diabetes, through socio-cultural analysis and digital health interventions. He holds advanced degrees in Nursing, Informatics, and Health Research, with a postdoctoral fellowship at the University of Michigan's National Clinician Scholars Program. Education: BS Nursing (San Francisco State University), MA Education (San Francisco State University), PhD Nursing (University of Arizona), MS Health Research (University of Michigan), Postdoctoral Fellowship (University of Michigan). Research interests include nursing informatics, EHR workflow optimization, colonial mentality's impact on health outcomes, and technology-based interventions for diabetes management. He has pioneered studies using computational ethnography and data mining techniques to improve EHR usability. His recent work explores cultural paradoxes in diabetes management among Filipino Americans and the role of digital health tools during the pandemic. Awards include the 2020 Outstanding PhD Dissertation Award and recognition for his contributions to nursing informatics. Tolentino collaborates with students and multidisciplinary teams, mentoring over a dozen researchers. He advocates for health equity through policy engagement and community-centered research, addressing both clinical and socio-structural determinants of health.

Treasure McGuireView profile

Associate Professor

• Medicines Information
• Evidence-Based Practice
• Medication Safety
• +6 more

Honorary Associate Professor Treasure McGuire holds a senior conjoint appointment between the School of Pharmacy at the University of Queensland and Mater Pharmacy, Mater Health in Brisbane, where she serves as Assistant Director of Pharmacy (Practice and Development). With over 25 years of continuous service since 1996, she was appointed Senior Lecturer at UQ in 2006 and coordinates the graduate clinical pharmacy course within the Master of Clinical Pharmacy program. Her research program focuses on translational work in patient-centered care and quality use of medicines, specifically examining medicines information systems, evidence-based practice implementation, medication safety protocols, reproductive health pharmacotherapy, complementary medicines evaluation, communicable disease management, and interprofessional education models. Her work bridges clinical practice and academic research through the medicines call center data analysis that informs real-world medication use patterns. Professor McGuire's scholarly output demonstrates consistent productivity across multiple domains, with significant contributions to understanding consumer medication concerns, particularly regarding antidepressants, antibiotics, reproductive health medications, and complementary medicines. Her research shows particular strength in analyzing medicines information center data to identify knowledge gaps and safety concerns. Lilly International Fellowship in Hospital Pharmacy Bowl of Hygeia of the Pharmaceutical Society of Australia Sr Eileen Pollard Medal (Mater Research-UQ) UQ Faculty of Health and Behavioural Sciences Team Award for Programs that Enhance Learning (2016) University of Queensland Award for Excellence in Teaching and Learning citation (2017) Fellow of the Australian College of Pharmacy Fellow of the Pharmaceutical Society of Australia Her educational leadership extends to program development and teaching innovation, notably through the Master of Clinical Pharmacy program which received multiple teaching awards. She has supervised numerous research projects and contributes significantly to interprofessional education initiatives. Her research program has secured competitive funding and generated substantial scholarly output including 169 journal articles, 78 conference papers, and 8 book chapters.

Robert HarleView profile

Researcher

• Mobile Computing
• Cyberphysical Systems
• Indoor Positioning Systems
• +4 more

Dr. Robert Harle is a Reader in Mobile and Cyberphysical Systems at the Department of Computer Science and Technology, University of Cambridge. His research focuses on mobile systems, robotics, and automation, with an emphasis on wearable and earable computing, indoor positioning, and human-centred technology. His work explores innovative applications of consumer wearables for health monitoring, such as population-derived heart rate analysis and readiness assessment. He has contributed extensively to indoor positioning systems, including Bluetooth beacons, magnetic field-based GraphSLAM, and crowdsourced radio mapping. Key research areas: Wearable sensors, location-aware systems, cyberphysical systems, and sensor fusion Notable projects: EarGate (gait-based earable authentication), Bellrock (anonymous proximity beacons), and SmartSLAM (machine learning for indoor positioning) His recent publications highlight advancements in wearable health metrics, earable computing, and robust indoor localization techniques, reflecting his interdisciplinary approach bridging computer science and biomedical engineering.

Mashhuda GlencrossView profile

Associate Professor

• Computer Graphics
• Human-Computer Interaction
• Virtual and Augmented Reality
• +6 more

Associate Professor Mashhuda Glencross is Deputy Associate Dean Academic (Students) in the Faculty of Engineering, Architecture and Information Technology (EAIT) at The University of Queensland (UQ). She holds a PhD in Computer Science from The University of Manchester. Her research focuses on computer graphics, human-computer interaction, and their applications to real-world challenges in renewable energy, health, and disaster resilience. She leads projects on visualisation technologies for decision-making during natural disasters and smart grid systems. Education: BSc (Hons) Polymer Science & Engineering, MSc Computer Science, PhD Computer Science (University of Manchester) Industry Experience: Former Technical Product Manager at ARM Ltd, Co-founder of two UK tech startups, Research Director at Pismo Software (VR interior design), and Director of Research at a smart heating company. Her work spans virtual reality (VR) , augmented reality (AR) , and cybersecurity for mixed-reality systems . Recent projects include developing AI tools for education assessment and grid health visualization platforms. She is a Senior Member of the ACM and serves on editorial boards for Computers & Graphics and ACM PACM journals . Awards include the GRSI Best Paper Award 2021 and recognition for contributions to ACM's Europe Council Best Paper Awards . Her research has commercial impact in gaming, visual effects, and mobile technologies. Current initiatives include the Centre for Energy Data Innovation and supervision of students in energy systems and HCI. She advocates for inclusive technology design and resilience engineering.

• Biomedical Engineering
• Machine Learning in Healthcare
• Signal Processing
• +3 more

Professor Lionel Tarassenko is a Professor of Engineering Science at the University of Oxford and the founding President of Reuben College. He leads research in biomedical engineering, focusing on machine learning and signal processing for healthcare applications, including patient monitoring systems and mobile health technologies. His work has revolutionized early warning systems for critically ill patients and self-management tools for chronic conditions. He directed the Institute of Biomedical Engineering (IBME) and expanded its research capacity, earning a Queen’s Anniversary Prize. Research Interests: Development of AI-driven patient monitoring systems Non-invasive vital sign detection using wearables and video Translation of medical technologies into clinical practice Machine learning for sleep staging and chronic disease management Key Achievements: Pioneer of FDA-approved critical care monitoring systems Recipient of CBE, Royal Academy of Engineering Silver Medal, and Martin Black Prize Founded four spin-out companies, including Oxehealth and Sensyne Health Authored 230+ journal papers, 210+ conference papers, and 32 patents Labs & Leadership: Director of the NIHR Oxford Biomedical Research Centre’s Technology and Digital Health theme R&D Director at Sensyne Health and Oxford University Innovation Former Head of the Department of Engineering Science (2014–2019)