جستجوی استاد راهنمای دانشگاهی

Dieter Fenselمشاهده پروفایل

استاد

• Semantic Technologies
• Semantic Web
• Knowledge Representation
• +۴ مورد دیگر

Univ.-Prof. Dr. Dieter Fensel (1960–2024) was a renowned computer scientist and professor at the University of Innsbruck. He held concurrent professorships at the National University of Ireland in Galway (2003) and served as a professor at Vrije Universiteit Amsterdam (1999–2002). He was the founder of the Digital Enterprise Research Institute (DERI) and later led the Semantic Technology Institute (STI) Innsbruck until his passing. Education: Doctorate in Mathematics (1993), University of Karlsruhe Habilitation in Computer Science, University of Karlsruhe Master’s degrees in Sociology (Free University of Berlin) and Computer Science (Technical University of Berlin) Undergraduate studies in Mathematics at Free University of Berlin Research Contributions: Pioneer of the Semantic Web, developing foundational knowledge representation frameworks and formal languages for decentralized systems Co-founder of key conferences: Extended Semantic Web Conference (ESWC) and International Semantic Web Conference (ISWC) Established the STI International Association to foster collaboration between academia and industry Initiated Semantic Web Summer Schools to train future leaders in the field Awards & Legacy: Recipient of the Carl Adam Petri Prize for academic excellence Legacy includes impactful startups like seekda and Onlim, and the Tourism Fast Forward congress Mentored generations of researchers in semantic technologies and knowledge graphs Additional Contributions: Secured significant research funding to advance semantic web ecosystems Championed interdisciplinary collaboration through DERI/STI networks Personal: A lifelong enthusiast of astronomy, he pursued celestial exploration as a hobby, embodying his curiosity beyond academia.

Ricardo Baeza-Yatesمشاهده پروفایل

استاد

• Algorithms
• Responsible AI
• Web Search and Mining
• +۷ مورد دیگر

Ricardo Baeza-Yates serves as Director of Research at the Institute for Experiential AI at Northeastern University's Silicon Valley campus. He also maintains part-time professor positions at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Previously, he was VP of Research at Yahoo Labs (2006-2016) and CTO of NTENT, a semantic search technology company. His academic career spans over three decades with significant contributions to both industry research and academia. Dr. Baeza-Yates earned his Ph.D. in Computer Science from the University of Waterloo, Canada, in 1989. His academic journey includes professorships at Universidad de Chile (1989-2004), ICREA Professor at Universitat Pompeu Fabra (2004-2005), and ongoing part-time appointments at both institutions since 2004 and 2006 respectively. His research spans algorithms, information retrieval, web search and mining, data science, with increasing emphasis on responsible AI and ethical considerations in technology. He is particularly renowned for his work on bias in search systems, algorithmic fairness, and the societal impacts of AI. His expertise uniquely bridges technical aspects of search and data mining with ethical and societal implications, making him a leading voice in the responsible AI movement globally. His recent scholarly output demonstrates a strong focus on bias detection, fairness metrics, responsible technology development, and the societal impacts of algorithms. The work spans technical machine learning and information retrieval while increasingly addressing ethical and social dimensions across diverse application areas from finance to healthcare to social media. Dr. Baeza-Yates has received numerous prestigious awards throughout his distinguished career: 2019 Corresponding Member of the Brazilian Academy of Sciences 2019 Award Salvà i Campillo to the Person of the Year 2018 National Research Award for applied research and technology transfer 2012 ASIS&T Best Information Science Book Award for Modern Information Retrieval 2011 IEEE Fellow for contributions to computer science development 2009 ACM Fellow for contributions to information retrieval algorithms 2002 Corresponding member Chilean Academy of Sciences As an educator and mentor, Dr. Baeza-Yates has advised numerous students throughout his academic career at multiple institutions. His textbook 'Modern Information Retrieval' has become a standard reference in the field, influencing generations of computer scientists. He has secured significant research funding through his leadership roles at Yahoo Labs and academic grants, demonstrating his ability to bridge theoretical research with practical applications. Dr. Baeza-Yates is actively involved with the DATA Lab at Northeastern University's Khoury College of Computer Sciences and previously founded the Web Science and Social Computing Research Group at Universitat Pompeu Fabra. He serves on multiple high-impact advisory boards including the Global AI Ethics Consortium, Global Partnership on AI, and IADB's fAIr LAC Initiative for Latin America and the Caribbean, reflecting his global influence in shaping responsible AI practices.

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۷ مورد دیگر

Professor Yi-Ping Hung is a distinguished faculty member in the Department of Computer Science and Information Engineering at National Taiwan University's College of Electrical Engineering and Computer Science. With a prolific publication record spanning over three decades from 1988 to 2025, Professor Hung leads research at the intersection of virtual reality, human-computer interaction, and computer vision. Their work bridges theoretical innovation with practical applications in health monitoring, biomechanics, and immersive technologies. Professor Hung's research interests focus on creating novel interaction paradigms for virtual and augmented reality environments, with particular emphasis on multisensory feedback systems. Their lab has pioneered approaches for haptic feedback, gaze-based interaction, and physiological response integration in immersive environments. Recent work explores breathing-integrated relaxation techniques, wind simulation for VR, and personalized biofeedback systems that demonstrate the translational impact of their research. Analysis of publication trends reveals a consistent focus on making virtual experiences more natural and embodied, with increasing integration of machine learning techniques in recent years. Professor Hung's team has developed innovative systems for Tai Chi training, archaeological simulation, and mental wellness applications that showcase practical implementations of their research. Professor Hung has mentored numerous graduate students who have become first authors on significant publications, including Ping-Hsuan Han, Yang-Sheng Chen, and Kuan-Wei Tseng. The research group maintains strong collaborations across disciplines and has secured funding for projects spanning VR hardware development, health monitoring systems, and cultural heritage applications. Current research directions include blockchain applications for environmental stewardship, advanced avatar creation techniques using generative models, and sophisticated sensor fusion approaches for precise indoor localization. The lab continues to push boundaries in creating more immersive, natural, and beneficial human-computer interaction experiences.

Susan Aasmanمشاهده پروفایل

استاد

• Digital Humanities
• Digital Cultural Heritage
• Media History
• +۵ مورد دیگر

Prof. Dr. Susan Aasman is a Professor of Digital Humanities at the University of Groningen's Faculty of Arts, leading the Centre for Digital Humanities. Her academic journey includes a Senior Qualification in Education from the University of Groningen (2017). She specializes in media history, digital cultural heritage, web archaeology, and the cultural dynamics of amateur media practices. Research Interests : Her work explores digital humanities methodologies, media archaeology, and the preservation of web-based cultural heritage. Key areas include the history of home movies, the evolution of amateur media, and ethical considerations in digital archiving. Awards & Grants : NWO Vrije Competitie Geesteswetenschappen Subsidy (2012) 2019 Vroege Nederlandse Gemeenschap op YouTube Research Grant 2018 Call Data Science Project Grant Clariah Research Pilot Grant (2017-2018) Advising & Grants : Supervised PhD students Tim van der Heijden and Tom Slootweg. Active in educational innovation via the Davideon project (2002-2004), integrating streaming media into higher education. Leads the Centre for Digital Humanities and serves on boards like SSHOC-NL and NWO Digitalisering Onderzoek. Labs & Teams : Directs the Centre for Digital Humanities, collaborates on projects like the Home Movies Project and Transnational Web Archive Studies. Co-edited volumes such as Materializing Memories and authored Amateur Media and Participatory Cultures (2019).

• Digital Education
• Health Informatics
• Virtual Reality (VR)/Augmented Reality (AR)/Extended Reality (XR)/Mixed Reality (MR) in Education
• +۳ مورد دیگر

Dr Nic Fair is a Senior Enterprise Fellow and Research Fellow at the University of Southampton, affiliated with the IT-Innovation group within the Digital Health and Biomedical Engineering department of the School of Electronics and Computer Science. He holds a PhD in Digital Education and Web Science, specializing in Personal Learning Networks, VR/AR/XR/MR educational applications, ontology development, and networked learning. His research spans health informatics, manufacturing technology, and agricultural innovation, funded by the European Commission Horizon 2020 and UK National Institute of Health Research. Current projects include the MELD-B initiative studying early-onset multimorbidity, BRIDGES (digital pedagogy), Zero-defect Manufacturing, and the European Connected Factory Platform. He supervises three PhD students in VR/MR and advanced data visualization. Key publications address healthcare data challenges, AI's impact on education, and manufacturing policy. His work emphasizes interdisciplinary collaboration, with notable contributions to Open Educational Resources, UNESCO initiatives, and the UK Cabinet Office's Open Innovation Team. He serves on the University Senate and is a member of the British Educational Research Association.

Yinghui Catherine Yangمشاهده پروفایل

استاد

• Business Analytics
• Big Data Analytics
• Predictive Modeling
• +۹ مورد دیگر

Professor Yinghui Catherine Yang is a faculty member at the University of California, Davis, affiliated with the Graduate School of Management. Her research spans business analytics, artificial intelligence, machine learning, and data mining, with a focus on business intelligence and online shopping behaviors. Ph.D. in Operations and Information Management, The Wharton School, University of Pennsylvania (2004) M.A. in Operations and Information Management, The Wharton School, University of Pennsylvania (2001) B.E. in Management Information Systems, Tsinghua University (1998) Her research centers on leveraging big data analytics for business intelligence, including user profiling, online shopping pattern analysis, and data mining methods. She has contributed to computational advertising, customer segmentation, and personalized systems. Catherine Yang's publications since 2019 highlight trends in sponsored search advertising, relational topic modeling, and behavioral analytics. Her work integrates machine learning and optimization frameworks for marketing and healthcare applications. Contact: yiyang@ucdavis.edu | Office: 540 Alumni Lane, 3418 Gallagher Hall, Davis, CA 95616 | Phone: (530) 754-5967

• Healthcare Technology
• Digital Health Platforms
• Health Data Management
• +۳ مورد دیگر

Hannu Nieminen is a Researcher at Tampere University's Biomedical Technology department. He holds a Doctor of Science (Technology) in Electrical Engineering from 1994. His work focuses on healthcare technology, digital health platforms, and health data governance. Nieminen has contributed to projects like DiHECO and ENVISION, exploring healthcare ecosystems and AI-driven solutions for chronic disease management. His research includes designing platform ecosystems for Parkinson's disease patients, developing user modeling frameworks for personalized health interventions, and evaluating technology-assisted stress management systems. Key areas of expertise include digital health platforms, wearable sensor technologies, healthcare data visualization, and stakeholder perceptions in data governance. He has collaborated on over 20 peer-reviewed publications, with notable work in Technovation and IEEE Access . His activities include presenting at conferences on workplace well-being and serving in a private sector advisory role (Movendos Oy, 2013–2015). Research highlights include: Developing a timeline visualization tool for clinical data analysis Designing a mobile microservices architecture for remote patient monitoring Exploring value capture mechanisms in healthcare platform ecosystems His work aligns with UN Sustainable Development Goals related to health and well-being innovation. Current research emphasizes digital health infrastructure, user-centric health technologies, and ethical data practices in secondary health data use.

Vijay Mookerjeeمشاهده پروفایل

استاد

• Information Systems
• Fintech
• Artificial Intelligence
• +۳ مورد دیگر

Vijay Mookerjee is the Charles and Nancy Davidson Chair Professor of Information Systems at the Jindal School of Management, University of Texas at Dallas. He serves as Director of the Doctor of Business Administration (DBA) Program, PhD Programs, and the Center for the Management of Financial and Digital Asset Technologies (FD-Tech Center). His research focuses on fintech, artificial intelligence, and information systems, with notable work on digital commons, data cooperatives, and cybersecurity strategies. Education: PhD in Information Systems from Purdue University (1991), MBA from Indian Institute of Management (1982), and BE from Nagpur University (1978). Courses taught include MIS 6204, MIS 7420, and DBU 7412. Research interests span digital asset technologies, data monetization, and operational strategies in online markets. His work explores challenges like ad exchange mechanisms, cyber insurance efficacy, and cooperative resource allocation in agriculture. Awards include the INFORMS ISS Distinguished Fellow (2011) and PhD Mentor of the Year (2000). His recent articles address real-time bidding dynamics, data cooperative sustainability, and cloud computing cost optimization. Professional affiliations include The Institute for Operations Research and the Management Sciences (INFORMS). His advisory roles and grants focus on integrating AI, cybersecurity, and fintech solutions for industry challenges.

Eleni Dermentziمشاهده پروفایل

استادیار

• Digital Business
• IT Adoption
• Online Public Engagement
• +۷ مورد دیگر

Eleni Dermentzi is an Assistant Professor in Digital Business at Newcastle Business School, Northumbria University. She holds a PhD from Newcastle University Business School (2016), an MSc in Information Systems from University of Macedonia (2013), and a BSc in Business Administration from the same institution (2010). Her research focuses on IT adoption, digital learning, flipped classrooms, game-based learning, open data education, and online public engagement in academia and government sectors. Education: PhD in Business and Management Studies (2016), Newcastle University MSc in Information Systems (2013), University of Macedonia BSc (Hons) in Business Administration (2010), University of Macedonia Research Interests: Her work emphasizes digital transformation in education and governance, with a focus on: Design of game-based learning environments Flipped classroom methodologies for Degree Apprenticeships Problem-based learning approaches using open data Adaptive educational technologies Public engagement via social media and digital platforms She has led EU-funded projects like the Enhancing education and training through data-driven adaptable games in flipped classrooms (2019–2021), and contributed to initiatives like the Delivery of Three Public Perception Surveys for the Tees Valley Combined Authority. Her research contributes to UN Sustainable Development Goals related to education and digital inclusion. Grants & Projects: EU-funded project (2019–2021): Developed data-driven game-based learning tools Public perception surveys (2018–2021): Analyzed community engagement strategies Labs & Teams: Collaborates with interdisciplinary teams on digital education innovations and public engagement frameworks, including partnerships with the UK Academy for Information Systems and the British Academy of Management.

Michael Curryمشاهده پروفایل

دانشیار

• Cybersecurity
• Behavioral Cybersecurity
• Machine Learning
• +۴ مورد دیگر

Michael Curry is an Associate Professor of Teaching in the Department of Electrical Engineering and Computer Science at Oregon State University's College of Engineering. He specializes in cybersecurity and behavioral aspects of information security, with a focus on predictive modeling and user risk assessment. Curry teaches courses in relational data design and data science, integrating his research into pedagogy. Education: Doctorate in Business Administration (IS), Manchester Business School, UK (2014) M.S., Computer & Information Science, University of Oregon (Eugene) B.S., Computer Science, US Military Academy, West Point (New York) His research interests include behavioral cybersecurity, machine learning applications in security compliance, and organizational IT norms. He contributes to the EECS Cybersecurity research team and ORTSOC (The Nation's First Cybersecurity Teaching Hospital). Key themes in his work address insider threats, password behavior, ransomware defense, and SME IT effectiveness. Curry's publications analyze security behavior models, IT artifact bias, and normative frameworks for assessing organizational IT quality. His work bridges academic research with industry collaboration through software engineering and entrepreneurial ventures, including early web-based systems for Tektronix and cloud solutions for small businesses. He has no listed scientific awards. His advising and grants are not detailed in the provided text, but his industry experience informs teaching and research collaborations. Curry is affiliated with the College of Engineering's Cybersecurity research team and ORTSOC, contributing to both academic and applied cybersecurity initiatives.

• Data Integration
• Database Systems
• Museum Studies
• +۵ مورد دیگر

Professor Alex Poulovassilis is a distinguished academic and College Fellow at Birkbeck, University of London, where she has held numerous senior roles since 1999. As Emeritus Professor of Computer Science, she has pioneered interdisciplinary research at the intersection of computer science, social sciences, and cultural studies. Her work focuses on data integration, museum analytics, biomedical informatics, and gender equity in STEM. She co-founded the London Knowledge Lab (2003–2015) and Birkbeck Knowledge Lab, fostering collaboration between disciplines. Education: BA Mathematics (Cambridge), MSc/PhD Computer Science (Birkbeck). Her doctoral work on FDL (Functional Database Language) revolutionized functional data models. She has held postdocs at UCL/King’s College London and returned to Birkbeck in 1999 as a 175th Anniversary Readership holder. Research interests span data management systems, museum sector analysis (Mapping Museums project), and educational technologies. Notable projects include: Decentralized web search frameworks (ESPRESSO) Museum resilience during the pandemic (Museums in the Pandemic) GENDER INNOVATION: Promoting female academic entrepreneurship Leadership roles include Pro-Vice Master for Research, Head of Computer Science, and Athena SWAN committee member, advocating for gender equality. She co-edited influential books on data management and gender in innovation. Awards: College Fellowship (Birkbeck), contributor to Athena SWAN Bronze Awards. Continues mentoring PhD students and advancing interdisciplinary research.

Jason Roosمشاهده پروفایل

دانشیار

• Causal inference
• Bayesian econometrics
• Structural modeling
• +۱۰ مورد دیگر

Jason Roos is an Associate Professor of Marketing at the Rotterdam School of Management, Erasmus University. He holds a PhD in Business Administration (Marketing) from Duke University and a BA from the University of Washington. His research bridges marketing, econometrics, and behavioral science, focusing on causal inference, structural modeling, and digital consumer behavior. PhD in Business Administration (Marketing), 2012, Duke University BA in Business Administration, 2005, University of Washington His research interests include causal inference, Bayesian econometrics, experimental methods, internet and new media, entertainment goods, and digitization. He investigates how information, learning, and adaptation affect consumer choice, particularly in digital and entertainment contexts. His work develops advanced econometric methods to improve causal inference from experimental and observational data. His recent publications, appearing in journals like Marketing Science , Management Science , and Journal of Marketing Research , explore topics such as compliance promotions, internet news consumption, movie demand, and advertiser learning. The articles reflect a strong interdisciplinary trend, combining marketing theory with rigorous quantitative methods and digital data. He is a recipient of the INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Proposal Competition award. His research has practical implications for marketing strategy, digital platform design, and public policy. He supervises PhD students and contributes to the academic community through teaching and research mentorship. He maintains an active research agenda, with ongoing work on digitization of communities, fake news exposure, and experimental design. He is also engaged in public discourse on academic freedom and labor rights via social media.

Reza Moosaeiمشاهده پروفایل

مدرس

• AI-powered programming pedagogy
• Educational data mining
• Linked Data
• +۳ مورد دیگر

Dr. Reza Moosaei is a Lecturer in Computer Science at Queen Mary University of London, Faculty of Science and Engineering. He specializes in AI-powered programming pedagogy and Linked Data. With over 18 years of experience, he teaches programming and computer networks, and is an AWS Educator certified in Cloud Foundation and Solution Architect courses. Education: Ph.D. in Computer Science, University of Malaya (2010) Master’s in Artificial Intelligence Bachelor’s in Software Engineering Research Focus: His work bridges AI and education technology, including educational data mining and decentralized web systems. Recent studies explore search frameworks for Solid personal datastores and ontological conversions from relational databases. Publications: Recent contributions address decentralized web architectures and AI-driven pedagogy, reflecting his dual focus on technical innovation and educational practice. Awards: No awards explicitly mentioned in the text. Advising/Grants: No specific student advisees or grants listed in the provided information. Labs/Teams: No lab affiliations or research teams explicitly detailed.

• Social Media & Knowledge Sharing
• E-Learning & Education Technology
• Web 2.0 Applications
• +۳ مورد دیگر

Jason Watson is a Professor at the School of Information Systems, Queensland University of Technology (QUT). His research focuses on social media, knowledge sharing, e-learning systems, and the impact of Web 2.0 technologies on organizations and communities. He has published extensively in journals like Journal of Librarianship and Information Science and Expert Systems with Applications , with over 60 peer-reviewed works. His work addresses topics such as migrant empowerment in online communities, healthcare data analytics, and privacy in social networks. Education and Qualifications: While specific degree details are not explicitly stated, his academic career spans over two decades, with contributions to both technical (e.g., SCORM implementation) and social science domains (e.g., qualitative studies on migration). Research Interests: Dr. Watson explores how technology mediates human interaction in professional and educational settings. Key areas include tacit knowledge sharing via social platforms, challenges faced by social enterprises, and the role of online communities in healthcare and migration contexts. Notable Contributions: His 2012 work on social media and tacit knowledge sharing has been widely cited. He also pioneered frameworks for personalized e-learning systems in the early 2000s. Collaborations span disciplines such as computer science, education, and sociology, reflecting his interdisciplinary approach. Labs/Teams: While no specific lab is named, his research involves cross-institutional collaborations, particularly with peers in computer science and social sciences at QUT and international partners.

Enrico Masalaمشاهده پروفایل

دانشیار

• Multimedia Communications
• Video Coding
• Digital Image Processing
• +۷ مورد دیگر

Enrico Masala is Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, where he also serves as Deputy Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the Internet Media Group (IMG) and the Interdepartmental Center for Service Robotics (PIC4SeR), and actively contributes to multimedia systems research and education. His research interests include multimedia communications, video coding, digital image processing, and media quality assessment, with a strong focus on AI and machine learning applications. His work spans algorithm development for quality optimization in multimedia transmission over packet networks, including wireless and cloud-based systems. The recent publications highlight a strong trend in leveraging deep learning and AI to model human perception in multimedia quality assessment. Topics include artificial observers, modeling of subjective scoring behavior, and individualized quality prediction—indicating a shift toward more personalized and human-aligned evaluation frameworks in multimedia systems. Elsevier Audioslides competition (2013) ScienceDirect TOP25 Hottest Articles (2012) Fellow - IEEE (2014–) IEEE Senior Member Enrico Masala has served as Scientific Manager for multiple commercial research projects, including the Radio 3.0 streaming platform and V-POP multimedia transmission project. He has also acted as evaluator for CHIST-ERA and the European Commission. He teaches core courses such as Internet Video Streaming and Web Applications , and has delivered international lectures and keynote talks, including at BUPT in China and CONIELECOMP in Mexico. He leads the JEG-Hybrid project within the Video Quality Experts Group (VQEG) and is active in international research networks related to next-generation multimedia networking and cloud-based media delivery.