جست‌وجوی استاد و پژوهشگر

• Implementation Science
• Health Psychology
• Behavioral Medicine
• +۷ مورد دیگر

Allison J Carroll, PhD is an Assistant Professor at Northwestern University Feinberg School of Medicine with primary appointment in Psychiatry and Behavioral Sciences, and secondary appointments in Medical Social Sciences and Preventive Medicine (Behavioral Medicine). She serves as a core faculty member in the Center for Dissemination and Implementation Science (CDIS) and is affiliated with the Institute for Public Health and Medicine (IPHAM) and the Northwestern University Clinical and Translational Sciences Institute (NUCATS). Dr. Carroll is a clinical health psychologist and implementation scientist whose research focuses on psychological (e.g., depression) and behavioral (e.g., cigarette smoking) contributors to chronic disease (e.g., cardiovascular disease), particularly for disadvantaged and historically underresearched populations. Her current research includes a K23 career development award to inform and pilot test the implementation of a culturally adapted depression intervention for Black adults with hypertension, with training aims in implementation science, community engaged research, and health informatics. Dr. Carroll also serves as an implementation science co-investigator/consultant on externally funded research projects and clinical initiatives in healthcare settings. Her publication record shows a clear focus on implementation science methods applied to cardiovascular disease prevention, depression treatment, and health disparities reduction, with numerous recent publications (2024-2025) in high-impact journals spanning implementation frameworks, community-based interventions, and integrated care models. Scientific Awards: Citation Abstract Award, Society of Behavioral Medicine (2025) Teacher of the Year, Clinical Psychology MA & PhD Programs, Northwestern University Feinberg School of Medicine (2024) Outstanding Abstract Award, Multimorbidities and Multiple Health Behavior Change Special Interest Group, Society of Behavioral Medicine (2022) Early Career Boot Camp, Association of Psychologists in Academic Health Centers 10th National Conference (2021) Fellow, Ten-Day Seminar on the Epidemiology and Prevention of Cardiovascular Disease and Stroke (2019) Dr. Carroll maintains active professional service as Secretary of the Health Research Council for the Society for Health Psychology (2023-present), Research Communication Liaison for the same council (2017-present), and previously served as Membership Coordinator for the Cardiovascular Disease Special Interest Group of the Society of Behavioral Medicine (2022-2024). She is an active member of multiple professional societies including the Association of Psychologists in Academic Health Centers, Society of Behavioral Medicine, American Heart Association, and Society for Health Psychology. Her educational background includes a BA from Monmouth College (2009), MS (2014) and PhD (2018) from Northwestern University, followed by an internship at Medical University of South Carolina in Clinical Psychology/Behavioral Medicine (2018) and a fellowship at Northwestern Medicine in Cardiac Behavioral Medicine (2020).

Sudip Vhaduriمشاهده پروفایل

استادیار

• Machine Learning
• Deep Learning
• Federated Machine Learning
• +۸ مورد دیگر

Sudip Vhaduri is an Assistant Professor in the School of Applied and Creative Computing at Purdue University, where he serves as Director of the mobile Artificial Intelligence (mAI) Laboratory. He holds appointments with several Purdue research centers including the Applied AI Research Center (AARC), Center for Education to Research in Information Assurance and Security (CERIAS), Purdue Institute of Inflammation, Immunology and Infectious Disease (PI4D), and the Institute for a Sustainable Future (ISF). Dr. Vhaduri received his educational training from: Ph.D. in Computer Science and Engineering from University of Notre Dame M.Sc. in Computer Science from University of Memphis B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology His research focuses on the intersection of artificial intelligence and mobile computing, with particular emphasis on machine learning, deep learning, and federated machine learning approaches. Dr. Vhaduri's work integrates three major application areas: health informatics leveraging smartphone and wearable sensing, continuous user authentication using physiological and behavioral biometrics, and reliable discovery of places of interest using alternative sensor data. His research has been featured in prestigious outlets such as Forbes Magazine. Dr. Vhaduri collaborates extensively with interdisciplinary researchers from medical and nursing schools at institutions including University of Cincinnati and Indiana University, as well as industrial research institutions like IBM Research. He is an active member of multiple IEEE societies including IEEE Computer Society, IEEE Signal Processing Society, IEEE Geoscience and Remote Sensing Society, and IEEE Engineering in Medicine and Biology Society. He teaches courses including Machine Learning for Smart Sensing (F'21-F'24), Data Fusion for Machine Learning (S'23-S'24), and Database Fundamentals (S'22-present). Dr. Vhaduri actively seeks highly motivated PhD students for research in ML/DL/FedML, IoT, and Mobile & Wearable Computing, with multiple funded positions available.

Md Mobashir Hasan Shandhiمشاهده پروفایل

استادیار

• Digital health technologies
• Wearable sensors
• Machine learning algorithms
• +۱۰ مورد دیگر

Md Mobashir Hasan Shandhi is a tenure-track Assistant Professor at Arizona State University , jointly appointed in the School of Electrical, Computer and Energy Engineering and the Biodesign Institute Center for Bioelectronics and Biosensors . His work focuses on developing equitable digital health technologies—wearable sensors and AI/ML algorithms—for personalized care and remote monitoring of chronic and infectious diseases. Education PhD, Electrical and Computer Engineering, Georgia Institute of Technology, 2020 Postdoc, Biomedical Engineering, Duke University, 2021–2024 MS, Electrical and Computer Engineering, University of Utah, 2016 BSc, Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology, 2011 Research Interests Dr. Shandhi’s lab designs low-cost, reliable wearable sensors and machine-learning models to enable remote monitoring of cardiovascular, respiratory, and infectious disease patients. His goal is to reduce healthcare disparities by translating these technologies into resource-limited settings. Scientific Awards & Grants American Heart Association Career Development Award Mayo Clinic–ASU Alliance Faculty Summer Residency Fellowship AHA Postdoctoral Fellowship Duke Heart Center & Translating Duke Health cardio-oncology grant NIH mHealth Training Institute Scholarship Best Paper, Runner-up Best Paper, First Place Research Awards Distinguished Poster Nominee Advising & Funding Dr. Shandhi is currently recruiting PhD students with backgrounds in electrical/biomedical engineering or computer science. He also welcomes postdocs and MS/undergraduate researchers to join the SHANDHI Lab. Interested candidates should email him directly with a CV and statement of interest. Labs & Teams He directs the SHANDHI Lab at ASU, where interdisciplinary teams of engineers, clinicians, and data scientists collaborate on translating wearable health technologies from bench to bedside.

• Ecology
• Environmental Science
• Geographic Information Systems
• +۷ مورد دیگر

Veronica Frans is a Stanford Science Fellow at Stanford University and a sixth-year PhD Candidate in Fisheries & Wildlife and Ecology, Evolutionary Biology & Behavior at Michigan State University (MSU). She is affiliated with MSU’s Center for Systems Integration and Sustainability (CSIS), the Klausmeier-Litchman lab at Kellogg Biological Station, and holds certifications in Community Engaged Scholarship and Spatial Ecology. Her research focuses on human influence on species distributions, integrating ecological modeling, GIS, and community outreach. BS/BA in Environmental Sciences and French from Messiah College MSc in International Nature Conservation from Goettingen University Her research spans ecology, conservation biology, and sustainability, emphasizing human-nature interactions through metacoupling, telecoupling, and stakeholder collaboration. She has conducted fieldwork in Alaska, Hong Kong, and the Falkland Islands, leveraging local knowledge to address global conservation challenges. Recent publications highlight her expertise in species distribution modeling, sustainability tool development (e.g., seesus, SDGdetector), and conservation policy analysis. Articles frequently explore metacoupling, anthropogenic impacts, and marine ecosystem dynamics, with applications in deforestation, biodiversity, and SDG implementation. NSF GRFP Fellow University Enrichment Fellow Outstanding Paper in Landscape Ecology Award Veronica collaborates with the Klausmeier-Litchman lab at MSU’s Kellogg Biological Station and works under Dr. Jianguo (Jack) Liu at CSIS. Her work bridges marine environments, stakeholder engagement, and global sustainability through interdisciplinary research and community-based conservation.

Kelly Lyonsمشاهده پروفایل

استاد

• Service Science
• Data Science
• Social Media
• +۴ مورد دیگر

Professor Kelly Lyons is a Professor at the Faculty of Information at the University of Toronto, cross-appointed to the Department of Computer Science. Her research focuses on service science, knowledge mobilization, social media, and data-driven innovation. Prior to academia, she held roles at IBM Toronto Lab's Centre for Advanced Studies. She has secured extensive funding from NSERC, IBM, and industry partnerships, and has advised numerous graduate students. Her work bridges interdisciplinary collaboration, emphasizing AI governance, digital economy impacts, and fostering Women in Technology initiatives. Research interests include the application of social platforms in service systems, data science for knowledge translation, and the societal implications of AI. Key projects involve analyzing gender dynamics in user reviews, open-source software structures, and pandemic-driven innovation trends. Her grants span data science, healthcare analytics, and smart city technologies. Publications span empirical studies on GitHub collaboration, AI governance frameworks, and biomedical knowledge systems. She received the Best Paper Award for 'The Effect of Collaborative Games on Group Work' (2015). Her teaching emphasizes service systems design and project management, with a focus on practical, interdisciplinary learning. Active in scholarly service, she chairs the Consortium for Software Engineering Research and serves on ACM-W's Executive Council. Collaborations include cross-institutional projects with University College London and UCL on AI governance frameworks. Her work extends to promoting STEM education and diversity in tech.

Joshua Garciaمشاهده پروفایل

استادیار

• Software Engineering
• Software Architecture
• Software Vulnerability Management
• +۵ مورد دیگر

Joshua Garcia is an Assistant Professor in the Informatics Department at the University of California, Irvine (UCI), within the Donald Bren School of Information and Computer Sciences. His research focuses on software architecture, automated testing, and cybersecurity, particularly in autonomous systems and mobile applications. He leads projects like DeltaDroid, Doppelgänger Test Generation, and Darcy, which address software vulnerability management, architectural consistency, and safety-critical systems. Key achievements include an NSF CAREER Award (2025), an NSF CRI Grant (2018), and a DARPA competition win (2024). His work is adopted by organizations like Boeing, Google, and NASA. Garcia collaborates internationally, involving institutions in Padova and researchers like Luca, Jessy Ayala, and Philipp. Research Interests: Software architecture evolution, automated exploit generation, autonomous vehicle testing, and accessibility in software development Grants: NSF CAREER ($500K+), NSF CRI ($1M+) Labs/Teams: HexHive Group, Autonomous Systems Testing Lab

Marina S. Leiteمشاهده پروفایل

استاد

• Materials Science
• Renewable Energy Materials
• Optical Materials
• +۳ مورد دیگر

Marina S. Leite is a Professor in the Department of Materials Science and Engineering at the University of California, Davis. Her research focuses on novel materials for renewable energy, optical devices, and materials under extreme environments. She leads the Leite Lab, pioneering work in perovskite photovoltaics, thermophotovoltaic emitters, and transient photonics using machine learning for accelerated materials discovery. Her group combines advanced characterization techniques with computational methods to address challenges in energy harvesting and optical material performance. PhD: Not explicitly listed in provided text Her research interests include: Machine learning-driven materials discovery Halide perovskites for stable solar cells High-temperature optical materials Transient photonics using magnesium-based systems Thermophotovoltaic emitter design Key research trends from recent articles emphasize AI integration for predicting material behaviors, environmental stressor impacts on optoelectronics, and alloy systems for dynamic optical properties. Her lab has developed methods for automated experimentation and spectral selectivity in emitters. 2025 Optica Fellow 2025 SPIE Fellow Advising: Supervises students like Hannah Darr. Active in DARPA cross-disciplinary projects and editorial roles in energy journals. Leads grants focused on machine learning in materials science and photonic device development. The Leite Lab collaborates on projects involving transient materials and high-temperature photonics. Future work includes scaling superabsorber technologies, developing eco-friendly Pb-free perovskites, and advancing AI tools for material property prediction.

Zahraa Abdallahمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Data Science
• Time Series Analysis
• +۶ مورد دیگر

Zahraa Abdallah is a Senior Lecturer at the School of Engineering Mathematics and Technology, University of Bristol. She holds a PhD and BSc in relevant fields. Her research focuses on Machine Learning, Data Science, Time Series Analysis, and their applications in Health Informatics, Neuroscience, and Bioinformatics. She leads projects on wearable technology integration for diabetes management and EEG-based disease classification. Her work emphasizes explainable AI and multimodal approaches. Zahraa is affiliated with the Bristol Doctoral College Initiative (BDFI) as an Academic Co-Director and collaborates with experts like Prof. Raul Santos-Rodriguez. Contact: zahraa.abdallah@bristol.ac.uk | Website: zahraa-abdallah.com Research Interests: Time Series Clustering & Forecasting EEG-based Disease Detection (Parkinson’s, Alzheimer’s) Smartwatch-Driven Healthcare Systems Explainable AI in Biomedical Applications Key Projects: Development of the CSTS benchmark for time series clustering Investigating insulin needs using automated delivery data Gene essentiality classification via graph neural networks Collaborations: Professor Raul Santos-Rodriguez (BDFI) Lucia Marucci (Systems & Engineering Biology)

Nakyung Kyungمشاهده پروفایل

استادیار

• Healthcare Informatics
• Digital Transformation
• Platforms & Innovation
• +۴ مورد دیگر

Nakyung Kyung is an Assistant Professor at the Department of Information Systems & Analytics, School of Computing, National University of Singapore. Her research integrates Information Systems, economics, and healthcare to address challenges in health behavior change, healthcare analytics, and mobile business analytics. She focuses on AI/ML-based nudge design, mobile health, and the societal effects of IT, including ethical issues and side effects. Education: B.A. in Business Administration (Hanyang University), M.Sc. and Ph.D. in Management Engineering (KAIST). She has conducted research projects such as 'Mandated vs Autonomous AI Use' and 'The Effect of Health IT on Behavior Change,' using big data analytics, econometrics, and field experiments. Courses taught include BT2101 Econometrics Modeling for Business Analytics and IS2238 Economics of IT and AI. Research highlights include analyzing weather-based message framing in mobile health apps and investigating algorithmic control in gig platforms. Her work on weather-contingent nudges was published in Information Systems Research and recognized with awards like the Health IT in Action award (CHITA 2023). Awards include Best Student Paper (CHITA 2019), Doctoral Consortium (ICIS 2020), and Best Paper in Healthcare Track (ICIS 2021). Her research emphasizes ethical AI design and long-term behavioral interventions to promote health equity and societal welfare.

• Human-Computer Interaction
• Ubiquitous Computing
• Accessibility Research
• +۱ مورد دیگر

Zhanna Sarsenbayeva is a Lecturer in the School of Computer Science at the University of Sydney. Previously, she held a Doreen Thomas Postdoctoral Research Fellowship at the University of Melbourne. Her research focuses on Human-Computer Interaction (HCI), Ubiquitous Computing, Accessibility, and Affective Computing. She earned a PhD in Engineering from the University of Melbourne, an MSc in Computer Science and Engineering from the University of Oulu, and a BSc in Computer Science from University College London. Research Interests: Dr. Sarsenbayeva explores how technology can enhance accessibility, improve emotion recognition in mobile contexts, and address situational impairments. Her work spans wearable sensors, mobile health applications, and ethical AI methodologies. Awards & Honors: 2022–2023: Australia-Germany Joint Research Cooperation Scheme 2021: CIS ECR Grant 2020: Doreen Thomas Postdoctoral Fellowship 2019: Gaetano Borriello Outstanding Student Award Advising & Grants: She currently supervises five PhD students researching topics like mixed reality collaboration and emotion recognition. Her grants include projects on accessibility standards and fairness in AI. International Collaborations: Engages with researchers at Aalborg University (Denmark), University of Oulu (Finland), and LMU Munich (Germany) on interdisciplinary projects.

Mark Harrisمشاهده پروفایل

دانشیار

• Information Security Management
• Socio-Behavioral Aspects of Technology Adoption
• Trust-Based Models in Cybersecurity
• +۳ مورد دیگر

Mark Harris is an Associate Professor and Interim Department Chair in the Department of Cyber Security at Augusta University's School of Computer and Cyber Sciences. He holds a Ph.D. in Business/Commerce and Management Information Systems from Virginia Commonwealth University, along with multiple other degrees. His research focuses on socio-behavioral aspects of information security, particularly trust-based models influencing technology adoption (e.g., mobile payments, telemedicine). He has received awards including the Augusta University Graduate School Distinguished Service Award (2020) and SCCS Outstanding Faculty Award (2020). Education: Ph.D., Business/Commerce & MIS, Virginia Commonwealth University (2010) MS, Business, Old Dominion University (2003) BSBA, Management Information Systems, Old Dominion University (1999) Recent Research Trends: Recent publications emphasize trust frameworks in telemedicine adoption, mobile payment systems, and cybersecurity compliance strategies. His work bridges behavioral psychology with technological adoption barriers, frequently using empirical reviews to identify gaps in theoretical models. Awards & Service: Recipient of 2018 International Journal of Information Management Review Excellence Award Curriculum Sub-Committee Member at Augusta University's Graduate School Editorial Board Member for International Journal of Information Management Teaching & Leadership: Serves as Director of the Master’s in Information Security Management Program (2016–2022) and currently chairs multiple university committees. Teaches graduate courses on information security research and legal issues in cybersecurity.

Jan-David Liebeمشاهده پروفایل

استاد

• Implementation Science
• Digital Health
• Human-Centered Design
• +۳ مورد دیگر

Prof. Dr. Jan-David Liebe is a Professor of Digital Society at Osnabrück University of Applied Sciences, leading the Digital Health Management field. He holds a PhD in Business Informatics from the University of Osnabrück (2013–2018). His research focuses on implementation science in healthcare, human-centered design, and AI-driven healthcare innovations. He is a co-founder of innnow GmbH and an associated researcher at UMIT’s Institute for Medical Informatics. Key roles include heading the GMDS AG mwmKIS and contributing to national IT reports in healthcare. Research Interests: His work spans digital transformation in healthcare, evaluating healthcare IT maturity models, and fostering innovation through design thinking. Notable projects include benchmarking health IT systems and developing frameworks for AI-supported diagnostics. Professional Roles: Prof. Liebe serves as the Study Director for the Health Management MA program and Entrepreneurship Officer at the WiSo faculty. He actively contributes to research networks like the German Society for Medical Informatics and advises on healthcare IT strategies. Grants & Projects: Leads projects on cloud readiness of hospitals, VR-based medical training, and AI in echocardiography. His work is published in over 50 peer-reviewed articles, emphasizing practical applications of digital tools in healthcare workflows and policy. Affiliations: Member of the Research Commission and Study Committee at Osnabrück University of Applied Sciences. Collaborates with institutions like the Medical School Hamburg and Novia University of Applied Sciences.

Irwin Epsteinمشاهده پروفایل

استاد

• Practice-Based Research
• Clinical Data-Mining (CDM)
• Social Work Professionalization
• +۴ مورد دیگر

Irwin Epstein is a retired Professor and former Helen Rehr Chair in Applied Social Work Research (Health & Mental Health) at Hunter College School of Social Work, part of the City University of New York (CUNY). He held adjunct roles at Mount Sinai Medical Center’s Community Medicine Department and contributed to international programs like the International Enhancement of Leadership. His career spanned 50 years, including 13 years at the University of Michigan and sabbaticals at institutions such as Howard University and the University of Warwick. He specialized in practice-research integration, notably pioneering Clinical Data-Mining (CDM) to bridge clinical practice and academic research. Epstein’s research interests focused on transforming practitioners into researcher-practitioners through CDM, program evaluation, and clinical data systems. He authored/co-authored seminal works on CDM methodology, including books published by Oxford University Press and University of Sydney Press. His work earned accolades like the Miegunyah Distinguished Visiting Professor Award, the first social worker to receive it. He advised doctoral students at CUNY’s Graduate Center and mentored professionals globally through workshops in Australia, Finland, and other countries. His contributions to social work education and research continue to influence practitioner-research integration in healthcare and social services.

Elizabeth Mynattمشاهده پروفایل

استاد

• Human-Centered Computing
• Personal Health Informatics
• Assistive Technologies
• +۳ مورد دیگر

Elizabeth Mynatt is the Dean and Professor of the Khoury College of Computer Sciences at Northeastern University. Her research focuses on human-centered computing, personal health informatics, and assistive technologies, particularly for aging populations. She leads the National Science Foundation's AI Institute (AI-CARING) and co-directs Emory University's Cognitive Empowerment Program. Mynatt advocates for federal research funding, emphasizing its role in technological innovation and economic growth. She is a Fellow of the ACM and member of the American Academy of Arts and Sciences. Her leadership includes fostering inclusive computing education and developing the Oath for Computing Professionals . Mynatt has over 100 publications, with work spanning ubiquitous computing, health informatics, and AI ethics. She previously held roles at Georgia Tech, including Regents' Professor and director of the Institute for People and Technology. Key contributions include designing AI systems to support aging-in-place, technology-mediated caregiving, and addressing challenges in mental health medication management. Her collaborations with industry and global institutions highlight her commitment to sociotechnical systems that enhance human capabilities while respecting cultural contexts.

Kourosh Davoudiمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Kourosh Davoudi is an Associate Professor of Computer Science at Ontario Tech University's Faculty of Science. He holds a PhD in Computer Science from York University with a focus on Machine Learning and Data Mining. Prior to joining Ontario Tech in 2019, he was a postdoctoral research fellow at the University of Waterloo's Department of Management Sciences. His research interests span Natural Language Processing, Deep Learning, Reinforcement Learning, Graph Mining, and Machine Learning. He actively supervises graduate students in these areas and teaches courses such as Data Mining and Artificial Intelligence. His research emphasizes practical applications of AI techniques in areas like outbreak detection, sentiment analysis, and automated grading systems. Recent work includes innovations in neural document segmentation, vision-language models, and hybrid outbreak detection using social media data. His publications consistently address challenges in algorithm design, explainable AI, and domain-specific NLP applications. Dr. Davoudi has contributed to conferences such as COLING, EMNLP, and IEEE transactions, focusing on interdisciplinary applications of machine learning. His work bridges theoretical advancements with real-world problems in healthcare, education, and social media analysis.