جست‌وجوی استاد و پژوهشگر

Jennifer Jakobiمشاهده پروفایل

استاد

• Neuromuscular Physiology
• Exercise Physiology
• Healthy Aging
• +۷ مورد دیگر

Jennifer Jakobi is a Professor at the School of Health and Exercise Sciences , Faculty of Health and Social Development, UBC Okanagan. She serves as Director of the Institute for Healthy Living and Chronic Disease Prevention and holds the NSERC Chair for Women in Science and Engineering . Her work bridges neuromuscular physiology and STEM diversity initiatives . Research Themes : Frailty, aging in place, sex-differential muscle function, and motor unit modulation. Labs : Leads the Healthy Exercise and Aging Lab (HEAL) and coordinates the iSTAND diversity program. Publications focus on aging biomechanics, cannabis impacts in elderly populations, social VR interventions, and pandemic-era health behaviors. Her NSERC-funded basic research examines cortical-spinal pathways, while UBCO grants support applied studies on vibration therapy and assistive technologies. Scientific Contributions : Identified sex-specific force steadiness mechanisms Developed prehabilitation frameworks for functional independence Advocated for gender-inclusive STEM education Outreach includes youth STEM camps, equity workshops, and community partnerships on aging-in-place policies. Current research explores VR-based social engagement and cannabis safety protocols for seniors.

• Software Technology
• Artificial Intelligence
• Educational Software
• +۵ مورد دیگر

Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.

Wenhong Chenمشاهده پروفایل

استاد

• Digital Media Technologies
• Sociology
• Media Studies
• +۷ مورد دیگر

Dr. Wenhong Chen is a Professor of Media Studies and Sociology at the University of Texas at Austin's College of Liberal Arts. She holds the Distinguished Scholar title at the Robert Strauss Center for International Security and Law and serves as Vice Chair of the Global Communication & Social Change Division at the International Communication Association. PhD in Sociology, University of Toronto SSHRC Postdoctoral Fellow, Duke University Her research examines digital media technologies in entrepreneurial/organizational contexts, focusing on digital inequalities, privacy, social capital, and US-China AI policy dynamics. Funded by institutions like Pew Internet, Ford Foundation, and Woodrow Wilson Center, her work bridges communication, sociology, and technology policy. Key article trends include: network power in China's media industry, digital inequality frameworks, privacy implications of health apps, transnationalism in digital governance, and the evolving role of social capital in technology adoption. President’s Associates Teaching Excellence Award (2023) Barry Sherman Teaching Award (2022) Provost’s Teaching Fellow (2021-2024) Dr. Chen has secured grants from Pew Internet, Ford Foundation, and the Social Sciences and Humanities Research Council of Canada. She previously co-founded UT Austin's Center for Entertainment and Media Industries (2018-2023) and leads a current project analyzing US-China AI policy impacts on tech entrepreneurship.

Vishal Sachdevمشاهده پروفایل

دانشیار بالینی

• Technology and Collective Action
• Cooperative Production
• Gamification of Education
• +۷ مورد دیگر

Vishal Sachdev is a Clinical Associate Professor of Business Administration at the University of Illinois at Urbana-Champaign's Gies College of Business. He serves as Director of the MS Analytics program, Director of Illinois MakerLab, and DPI Faculty in Residence. His academic roles span teaching, research, and leadership in educational technology and innovation. Education: B.A. in Mathematics, St. Stephen's College, New Delhi (1993) M.S. in International Business, Indian Institute of Foreign Trade (1996) Ph.D. in Information Systems, University of Texas at Arlington (2007) Research Interests: Dr. Sachdev focuses on technology's role in enabling collective action, cooperative production, and gamification in education. His work explores blockchain-based DAOs, 3D printing in educational settings, and the intersection of Web3 with decentralized business models. He emphasizes scalable peer-learning environments and online/blended education frameworks. Awards: Emerging Award for Excellence in Public Engagement (UIUC) List of Excellent Teachers (UIUC, multiple years) Research Excellence Award (Gies BADM, 2023) Grants & Labs: He leads Illinois MakerLab, a pioneering academic makerspace. Notable grants include Blockchain Analytics (Gies, 2023-2025), US Competitiveness in Web3 (Solana Foundation, 2022-2024), and Autodesk grants for Fusion 360 workshops. His work bridges technology, education, and innovation through applied research. Courses: Teaches courses like Blockchain Analytics, Database Design, and Digital Making Seminar, emphasizing hands-on, industry-relevant learning.

• Digital Agriculture
• Agricultural Informatics
• Data Science
• +۳ مورد دیگر

Ankita Raturi is an Assistant Professor in the Department of Agricultural & Biological Engineering at Purdue University, leading the Agricultural Informatics Lab. Her work focuses on human-centered design, information modeling, and software engineering to enhance resilience in food systems. She develops decision support tools for cover cropping, agronomic data services, and soil health technologies. Her research integrates digital agriculture applications across field crops, livestock, and food systems, emphasizing open-source solutions. Key projects include modular decision tools for diversified farming systems and information management frameworks for community food resilience. Publications highlight her expertise in sustainable tech adoption, precision agriculture, and ecosystem impact design. She actively bridges engineering and agriculture through interdisciplinary collaborations. Dr. Raturi's lab explores digital tools for smallholder farmers, pandemic response systems, and ecological wealth restoration through technology. She emphasizes trust-building in tech-mediated research and advocates for nonhuman-centric design in agroecosystems.

John Baslمشاهده پروفایل

دانشیار

• Applied Ethics
• AI Ethics
• Machine Learning Ethics
• +۳ مورد دیگر

John Basl is an Associate Professor of Philosophy at Northeastern University and Associate Director of the Northeastern Ethics Institute, where he leads initiatives in AI and data ethics. He holds affiliate roles at Khoury College of Computer Science, the Institute for Experiential AI, and Harvard's Edmond and Lily Safra Center for Ethics. His research focuses on applied ethics, particularly in AI, machine learning, data ethics, and environmental ethics. He is the author of The Death of the Ethic of Life (Oxford UP) and has contributed to interdisciplinary projects on AI governance, including the NSF-funded AI & Data Ethics (AIDE) Graduate Training Program and the National Internet Observatory. His work explores ethical challenges posed by emerging technologies, such as moral obligations to AI systems, transparency in automated decision-making, and the ethical implications of autonomous vehicles. Basl’s research also engages with environmental ethics, addressing questions about species partiality, ecological justice, and the moral status of non-human entities. He actively collaborates with technologists, policymakers, and ethicists to ensure ethical considerations are integrated into technological development. His media engagements include talks on AI ethics at institutions like the University of Toronto and the Web Summit, and articles in outlets like Aeon Magazine. Current projects include grants focused on training the next generation of AI ethics scholars and analyzing the societal impacts of generative AI. Basl advocates for accessible, interdisciplinary approaches to ethics in technology, emphasizing practical solutions to real-world challenges.

Ben Greenمشاهده پروفایل

استادیار

• Algorithmic Fairness
• AI Ethics
• Government Algorithms
• +۳ مورد دیگر

Ben Green is an Assistant Professor at the University of Michigan School of Information and holds a courtesy appointment at the Gerald R. Ford School of Public Policy. He is also a Faculty Associate at Harvard’s Berkman Klein Center for Internet & Society and a Fellow at the Center for Democracy & Technology. Green earned his PhD in Applied Mathematics from Harvard University with a secondary field in Science, Technology, and Society. His research focuses on the ethics of government algorithms, emphasizing algorithmic fairness, human-algorithm interactions, and AI regulation. He advocates for design and governance practices that prevent algorithmic harms and advance social justice. His work includes critiques of overreliance on technology in urban planning, as highlighted in his book The Smart Enough City , and ongoing projects on equitable AI policies. Green’s contributions extend to publications analyzing human oversight in AI systems, privacy in public health contexts, and the societal impacts of smart city technologies. His interdisciplinary approach bridges computer science, law, and public policy to address real-world challenges in technology governance. As a Fellow at the Center for Democracy & Technology and through his academic roles, Green collaborates on initiatives promoting ethical technology use in government and urban environments. His research has informed policy discussions on data privacy, algorithmic accountability, and equitable technology deployment.

Rebecca Nugentمشاهده پروفایل

استاد

• Clustering Methodology
• Record Linkage
• Educational Data Mining
• +۵ مورد دیگر

Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and Department Head at Carnegie Mellon University. She holds a PhD in Statistics from the University of Washington (2006), an MS in Statistics from Stanford (2006), and a BA in Mathematics, Statistics, and Spanish from Rice University (2002). Her research spans clustering methodology , record linkage , educational data mining , public health , and semantic organization , with a focus on high-dimensional data and adaptive learning environments. She leads the Integrated Statistics Learning Environment (ISLE) and Corporate Capstone programs, emphasizing low-barrier data platforms for education and industry collaboration. Academic Roles : Department Head, Carnegie Mellon; Affiliated Faculty, Block Center for Technology and Society Research Grants : NSF (2017-2019), NIH (2018), Carnegie Mellon ProSEED/Simon Initiative (2020, 2018), Berkman Fund (2014) Her 15 most recent publications focus on data science pedagogy, clustering algorithms, record linkage applications in historical and medical data, educational data mining, and semantic organization studies. Awards include the ASA Waller Education Award (2015) and the William H. and Frances S. Ryan Award (2015) . She mentors a diverse group of PhD, Master's, and undergraduate students, with alumni pursuing careers in academia, industry, and sports analytics.

Jessica Hammerمشاهده پروفایل

دانشیار

• Game Design
• Educational Technologies
• Human-Computer Interaction
• +۵ مورد دیگر

Jessica Hammer is an Associate Professor of Learning Sciences at Carnegie Mellon University, jointly appointed in the Human-Computer Interaction Institute (HCII) and the Entertainment Technology Center (ETC). She directs the Center for Transformational Play, focusing on games that provoke meaningful change in players' perspectives and behaviors. Her research explores how virtual reality (VR), serious games, and interactive narratives can address complex societal issues like environmental awareness, mental health stigma, and AI ethics. She is also an award-winning game designer, with projects including Eye into AI , Monsters of Appalachia , and Project Echo of the Abyss . Hammer's academic background integrates computer science, education, and design thinking. Her work spans diverse domains such as healthcare through games, gender-inclusive game narratives, and AI literacy education. She has advised students including Erica Cruz, Noor Hammad, and Beatrice Maggipinto, mentoring them in projects that bridge technology and humanistic goals. Current research initiatives include: AI Ethics: Developing frameworks like RAD to help youth critique algorithmic systems VR for Education: Creating deep-sea exploration experiences to foster ecological empathy Inclusive Design: Addressing accessibility in game streaming for vision-impaired users Her projects often involve collaboration with interdisciplinary teams across CMU's schools, leveraging partnerships with game developers, educators, and social scientists. Hammer's work has been featured in venues like CHI and The Link magazine, reflecting her commitment to both academic rigor and real-world impact.

Steven Watsonمشاهده پروفایل

دانشیار

• Generative AI in Education
• Transdisciplinary Research
• Educational Inclusion
• +۴ مورد دیگر

Steven Watson is an Associate Professor at the Faculty of Education , University of Cambridge, with a Visiting Professor role at the Department of Sociology, Faculty of Croatian Studies, University of Zagreb. He co-founded the Cambridge Global Knowledge Nexus , is an Associate of the Digital Education Futures Initiative (DEFI), and a Fellow at Wolfson College. His research bridges engineering, social sciences, philosophy, and technology to address complex educational and societal challenges. Watson's work focuses on generative AI in education , using autopoietic ontology to develop frameworks for AI literacy, ethics, and integration. He advises UK policymakers on AI implementation and explores educational inclusion, cultural systems, and the sociology of technology. His presentations span global events, including the World Economic Forum and Tsinghua University. Recent publications emphasize AI's societal impact , transdisciplinary methodologies , and ethical frameworks for AI in education. His articles appear in journals like Systems Research and Behavioral Science and European Educational Research Journal , with a focus on autopoietic systems, educational equity, and technological evolution.

Lisa Kervinمشاهده پروفایل

استاد

• Early Childhood Education
• Digital Literacy
• Child Development
• +۳ مورد دیگر

Professor Lisa Kervin is a leading academic in early childhood education at the University of Wollongong (UOW), serving as Director of Early Start Research and holding a Professorial appointment in the School of Education. Her research focuses on young children’s literate practices, play-based learning, and digital technology integration in education. She leads the ARC Centre of Excellence for the Digital Child and has secured significant funding, including a 2025 ARC Future Fellowship exploring intergenerational play. Kervin was honored as a Member of the Order of Australia (AM) in 2024 for contributions to early childhood digital literacy research. She has supervised over 35 research students, many now in academic and leadership roles, and currently oversees seven doctoral candidates. Her work bridges theory and practice through collaborations with educators and industry partners, emphasizing interdisciplinary approaches to child development and policy influence globally. Education: PhD in Language and Literacy from UOW (2001–2004). Professional roles include Principal Fellow of the Australian Literacy Educators’ Association and Director qualifications from the Australian Institute of Company Directors. Her research spans digital childhood ethics, play pedagogy, and literacy curriculum design, with outputs impacting government policies and international educational frameworks. Ongoing projects include the ‘DigIQ’ program promoting digital literacy and ‘Playgroups for All Ages’ fostering intergenerational engagement. Grants and collaborations involve partnerships across six universities and 33 global organizations. Her teaching innovations include the Early Childhood Elevate Mentoring Program to support educators’ academic progression. Kervin’s work addresses critical issues like screen time impacts, STEAM education, and culturally responsive pedagogies, positioning her as a key voice in 21st-century early childhood education.

Johanna Lorenzمشاهده پروفایل

پژوهشگر

• Digital Innovation
• Information Systems
• Experiential Consumer Offerings
• +۳ مورد دیگر

Dr. Johanna Lorenz is a Researcher at the University of Hamburg Business School, affiliated with the Professorship for Information Systems and Digital Innovation led by Prof. Dr. Recker. Her work focuses on digital innovation, experiential consumer offerings, and the intersection of technology with human bodies. She holds a postdoctoral position and contributes to academic discourse through peer-reviewed publications. Her research interests include value creation strategies in digitalized experiential offerings, somatic information systems artifacts, and the entanglements between digital innovation and the human body. She has collaborated on studies published in the Journal of Management Information Systems and prominent conference proceedings such as ECIS and PACIS. Dr. Lorenz’s articles explore cutting-edge topics like physical-digital consumer experiences, digitalized service models, and the embodiment of technology. Her work bridges theoretical frameworks with practical business applications, emphasizing sustainable digital innovation in modern economies.

Diana Freedمشاهده پروفایل

استادیار

• Data Science
• Digital and AI Literacy
• Digital Health
• +۴ مورد دیگر

Roles and Affiliations: Assistant Professor of Computer Science and Data Science at Brown University. Affiliated with Brown's Data Science Institute and Science, Technology and Society program. Holds affiliations with Harvard's Berkman Klein Center for Internet & Society and Petrie-Flom Center for Health Law Policy. Education: PhD (2023), MS (2021) in Computer Science from Cornell University. Postdoctoral training at Harvard (2023-2024) in internet law and computation research. Earlier degrees include an MPS from NYU (2015), MA from Columbia (2005), and BA from NYU (2002). Research Focus: Specializes in digital safety, cybersecurity for vulnerable populations, and sociotechnical systems. Key areas include technology-facilitated abuse prevention, youth digital literacy, and ethical AI design. Explores intersections of technology with healthcare, privacy, and legal systems. Key Contributions: Published 12 peer-reviewed articles on IPV tech interventions, youth digital safety, and mHealth apps. Recent work addresses AgeTech misuse and asylum seeker digital tools. Teaches Accessible and Inclusive Cybersecurity and Privacy . Awards: 2023 CHI Reviewer Recognition, 2018 ACM CHI Best Paper Award, and 2017 ACM CSCW Diversity Award. Recipient of Meta's prestigious PhD fellowship (Top 1.8%). Grants & Labs: Collaborates on projects involving clinical security protocols, VR safety, and digital health equity. Engages with interdisciplinary teams across computer science, law, and public health sectors.

John Wihbeyمشاهده پروفایل

دانشیار

• Social Media
• Misinformation
• Computational Journalism
• +۳ مورد دیگر

John Wihbey is an Associate Professor of Media Innovation & Technology at Northeastern University, jointly affiliated with the College of Social Sciences and Humanities and the College of Arts, Media and Design. He directs the AI-Media Strategies Lab and co-founded the Internet Democracy Initiative. His research explores social media, misinformation, and computational journalism. Education includes an Ed.D. from Northeastern University, M.S. from Columbia Journalism School, and M.A. from Middlebury. Research focuses on digital democracy, AI governance, and media literacy. Awards recognize contributions to journalism research and digital communication. Articles frequently address evolving intersections of technology and democracy, with recent emphasis on AI-driven misinformation and platform regulation.

Erik Schemeمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Machine Learning
• Neuroprosthetics
• +۵ مورد دیگر

Erik Scheme is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), and serves as Associate Director of the Institute of Biomedical Engineering (IBME). He holds a PhD and is a Professional Engineer (PEng). His roles include advising the Dr. J. Herbert Smith Centre for Technology Management and Entrepreneurship, emphasizing innovation in biomedical technologies and healthcare systems. His research focuses on advanced human-machine interaction through biomedical engineering, with a strong emphasis on myoelectric prosthetics, wearable sensors, and machine learning applications. Key areas include improving neuroprosthetic control via incremental learning, gait analysis using underfoot pressure sensors, and developing robust EMG-based gesture recognition systems. His work bridges clinical needs with technological innovation, addressing challenges in rehabilitation, activity monitoring, and user-centric design. Recent publications highlight advancements in adaptive control systems, sensor fusion, and ethical data practices in healthcare. His contributions span both theoretical frameworks (e.g., self-supervised learning models) and applied technologies (e.g., gold-plated 3D-printed electrodes). Dr. Scheme collaborates across disciplines, integrating robotics, signal processing, and clinical validation to create impactful solutions. His lab, affiliated with IBME, actively explores emerging areas like exhaled breath analysis for disease detection and federated learning in healthcare data analytics.