جست‌وجوی استاد و پژوهشگر

• Geropsychology
• Wellbeing and health
• Innovation expertise
• +۹ مورد دیگر

Tuomas Leisti is a Lecturer and Doctor of Psychology (PsT) at Metropolia University of Applied Sciences, affiliated with the Wellbeing Team 3. His professional roles include teaching psychology and research methods, supervising Master's theses, and contributing to RDI (Research, Development, Innovation) projects. He holds certifications as a licensed psychologist and professional teacher (AmO), with proficiency in Finnish (native), English (excellent), Swedish (average), and German (basic). Leisti's research focuses on geropsychology, wellbeing and health, innovation expertise, cognitive psychology, and the philosophy of mind. His doctoral work explored the role of consciousness in decision-making, with prior experience in human-technology interaction. He is particularly interested in decision-making processes, problem-solving, and the metacognitive skills underlying these activities. Key projects include the Wellbeing Hybridist initiative (2021–2023) and the pan-European COMHOM project (2025–2028), which addresses homelessness through data-driven solutions. His research outputs span over two decades, emphasizing subjective image quality evaluation, cognitive modeling, and quantitative methodologies. Leisti's work integrates empirical and philosophical approaches, addressing topics such as qualia, decision heuristics, and the interplay between conscious thought and judgment. Despite no explicitly listed awards, his extensive publication record reflects sustained contributions to psychological and applied research fields.

K. Selçuk Candanمشاهده پروفایل

استاد

• Data Science
• Database Systems
• Machine Learning
• +۵ مورد دیگر

K. Selçuk Candan is a Professor of Computer Science and Engineering at Arizona State University (ASU) and the Director of the Center for Assured and Scalable Data Engineering (CASCADE). He holds affiliations with the Global Institute of Sustainability and the Center for Cybersecurity and Digital Forensics. His academic roles include interim co-director of the School of Computing and Augmented Intelligence (2022) and coordinator of the Big Data Systems concentration. He earned his Ph.D. from the University of Maryland and his B.S. from Bilkent University. Education: Ph.D. Computer Science (University of Maryland, 1997), B.S. Computer Engineering (Bilkent University, 1993) Affiliations: CASCADE Director, Global Futures Scientist, NSF APPEX Center His research focuses on data management, analysis of heterogeneous data, and applications in healthcare, energy, and cybersecurity. He has authored over 250 peer-reviewed publications and secured $34M in grants. Key projects include pandemic modeling, building energy optimization, and cybersecurity for smart infrastructure. Recipient of the 2023 Daniel Jankowski Legacy Award and ACM SIGMOD Contributions Award, he emphasizes interdisciplinary collaboration and mentorship. He has advised 16 doctoral students and 35+ graduate students, contributing to teaching excellence awards. His work bridges academia and industry, with grants from NSF, DOE, and DoD. Current efforts include causal learning frameworks, spatio-temporal modeling, and cyber-infrastructure for pandemic response.

K. Selcuk Candanمشاهده پروفایل

استاد

• Data Management
• Multimedia Databases
• Distributed Systems
• +۵ مورد دیگر

K. Selcuk Candan is a Professor of Computer Science and Engineering at Arizona State University (ASU) and Director of the Center for Assured and Scalable Data Engineering (CASCADE). He holds affiliations with multiple institutes, including the Global Futures Scientists and Scholars and the Center for Cybersecurity and Trusted Foundations. Candan has been at ASU since 1997, following his PhD from the University of Maryland. His research focuses on managing and analyzing non-traditional data types like multimedia, web, and scientific data. Key interests include scalable data processing, sensor data integration, and accessibility technologies for visually impaired individuals. He has led numerous grants from NSF, DoD, and others, resulting in over 250 peer-reviewed publications and 9 patents. Notable contributions include the DataStorm framework for coupled simulations and the OASIS system for accessible digital content. Candan has served as program chair for top conferences like SIGMOD and MM, and is an ACM Distinguished Scientist. His awards include the SIGMOD Contributions Award and Dan Jankowski Legacy Award. He has advised numerous students and led interdisciplinary projects in areas like pandemic modeling (APPEX Center) and building automation security. His work bridges theory and application, emphasizing real-world impact in healthcare, urban systems, and educational accessibility.

Naeemul Hassanمشاهده پروفایل

دانشیار

• Big Data
• Data Science
• Database
• +۱۲ مورد دیگر

Dr. Naeemul Hassan is an Associate Professor at the Philip Merrill College of Journalism and the College of Information Studies at the University of Maryland, with an affiliate appointment in the Department of Computer Science. He directs the Computational Journalism Lab and focuses on Big Data, Data Science, and Natural Language Processing, particularly in areas like Computational Journalism, Social Sensing, and Misinformation Detection. His research includes developing technologies such as BaitBuster and ClaimBuster to aid fact-checking and combat misinformation. Previously, he was an Assistant Professor at the University of Mississippi and earned his Ph.D. in Computer Science from the University of Texas at Arlington (2016). Education: Ph.D. in Computer Science, University of Texas at Arlington (2016). Research Interests: His work spans automated fact-checking, health information credibility, and social media analysis. Key projects include analyzing misinformation in health contexts (e.g., TikTok, Reddit), detecting misleading headlines, and exploring AI-driven solutions like LlamaLens for multilingual news analysis. He also examines societal impacts of digital platforms in contexts like Bangladesh and the U.S. Lab and Collaborations: Directs the Computational Journalism Lab and collaborates with the Computational Linguistics and Information Processing (CLIP) Lab and the Human-Computer Interaction Lab (HCIL). Recent grants include SaTC: CORE funding for BaitBuster 2.0 and RAISE support for a Credible Open Knowledge Network. Grants and Projects: Notable funding includes NSF grants for misinformation research and collaborative projects on clickbait mitigation and health information systems. Currently, he is not accepting new Ph.D. students. His work bridges computer science, journalism, and public health, emphasizing ethical AI applications and societal impacts of digital media.

Ricardo da Silva Torresمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Science
• +۳ مورد دیگر

Prof. Ricardo da Silva Torres is a Professor in Data Science and Artificial Intelligence at Wageningen University & Research, Netherlands. Previously, he held professorships at NTNU (2019-2024) and the University of Campinas, Brazil (2005-2019). He earned his B.Sc. and Ph.D. in Computer Science from the University of Campinas (2000 and 2004, respectively). His research focuses on eScience projects involving multimedia analysis, machine learning, databases, and visualization. Education: B.Sc. in Computer Engineering, University of Campinas, Brazil (2000) Ph.D. in Computer Science, University of Campinas (2004) Research Interests: Multidisciplinary eScience projects Machine Learning applications in sports science and agriculture Knowledge graphs and digital twins for urban and agricultural planning Computer vision for environmental monitoring and aquaculture Notable Projects: KD-BIO: Large-scale AI infrastructure for green life sciences IUMENTA: Animal digital twin framework NorDark-DT: Urban lighting digital twin He serves as Associate Editor for Pattern Recognition Letters and is an IEEE member. His work bridges computational methods with real-world challenges in agriculture, sports, and urban systems.

Alyssa Lanziمشاهده پروفایل

استادیار

• Cognitive Communication Assessment
• Compensatory Cognitive Rehabilitation
• Mild Cognitive Impairment
• +۳ مورد دیگر

Alyssa Lanzi, PhD, CCC-SLP is an Assistant Professor in the Department of Communication Sciences & Disorders within the College of Health Sciences at the University of Delaware. Her work focuses on developing and applying cognitive communication outcome measures for individuals with neurocognitive disorders. Education: Postdoctoral Fellowship, University of Delaware (2020) PhD, University of South Florida (2019) MS, Duquesne University (2016) BS, Duquesne University (2015) Research Interests center on compensatory cognitive rehabilitation, functional memory aid assessment, and the study of communication challenges in mild cognitive impairment and Alzheimer's disease. She leads advancements in patient-centered treatment planning and remote cognitive diagnostics. Research Trends across her publications reveal a focus on: Cognitive-communication biomarkers in neurodegenerative diseases Telehealth applications for memory assessments Development of standardized memory aid tools Interdisciplinary approaches to dementia risk reduction Cultural adaptation of clinical instruments Integration of bioenergetics with cognitive outcomes Affiliations: Director of the Resilient Cognitive Aging Lab (RECALL) Member of the Delaware Center for Cognitive Aging Research Co-founder of the DementiaBank multimedia database

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Michael Gervautz is an Associate Professor at the Department of Computer Graphics, Faculty of Informatics, Technische Universität Wien (TU Wien). His primary research areas include Computer Graphics and Virtual Reality , with a focus on applications in cultural heritage, historical replication, and interactive visualization. Research Interests : Gervautz's work bridges advanced 3D visualization techniques with practical implementations in archaeological documentation, cultural heritage preservation, and educational simulations. His projects often integrate multimedia tools and interactive systems to solve complex visualization challenges. Supervision : He has supervised numerous student theses, including projects like Wheelie (2006), Der Türkische Schachspieler (2004), and Image-based rendering of forests (2004), indicating his mentorship in virtual environments and augmented reality. Publications : His research spans topics such as virtual models for archaeology, multimedia excavation tools, and historical simulations, reflecting a consistent application of VR/AR technologies to interdisciplinary challenges.

Adnan YAZICIمشاهده پروفایل

استاد

• Intelligent Database Systems
• Multimedia Databases
• Video Databases
• +۴ مورد دیگر

Prof. Dr. Adnan YAZICI is a full Professor and Director of the Multimedia Database Laboratory at the Department of Computer Engineering, Middle East Technical University (METU), Ankara, Turkey. He earned his Ph.D. in Computer Science from Tulane University, USA, in 1991. Research Areas: Intelligent database systems, multimedia and video databases, information retrieval, wireless multimedia sensor networks, data science, and fuzzy database modeling. Leadership & Editorial Roles: Conference Co-Chair for major IEEE and Very Large Data Bases conferences; Associate Editor of IEEE Transactions on Fuzzy Systems . Professional Affiliations: Member of ACM, IEEE Computational Intelligence Society, and Fuzzy Systems Technical Committee. Awards: IBM Faculty Award (2011) Parlar Foundation’s Young Investigator Award (2001)

Ying Luoمشاهده پروفایل

دانشیار

• Privacy Protection in Information Systems
• Cybersecurity
• Multimedia Information Analysis
• +۲ مورد دیگر

Ying Luo is an Associate Professor in the Department of Computer Information Technology and Graphics at Purdue University Northwest. Her research and teaching focus on algorithm design, database management, and cybersecurity. She holds a Ph.D. in Electrical and Computer Engineering from the University of Kentucky, and M.S. and B.S. degrees in Computer Science from Sichuan University, China. Education: Ph.D. – Electrical and Computer Engineering, University of Kentucky M.S. – Computer Science, Sichuan University, China B.S. – Computer Science, Sichuan University, China Her areas of expertise include Privacy Protection in Information Systems, Cybersecurity, Multimedia Information Analysis, Database Management, and Wearable Technology in Healthcare. These research areas reflect her commitment to advancing technological solutions in data security, efficient database systems, and innovative healthcare applications through wearable technology. No information is provided regarding advised students, grants, or related professional activities.

Vigintas Stancelisمشاهده پروفایل

مدرس

• History
• Information Technology
• Humanities and Information Technology Integration
• +۳ مورد دیگر

Vigintas Stancelis is a Lecturer at the Faculty of Communication of Vilnius University, affiliated with the Department of Book, Media and Publishing Studies . His work bridges historical research with modern information technology, focusing on parliamentary history digitization, IT applications in governance, and digital humanities. Education: BA in History (1993), Vilnius Pedagogical University MA in Humanities (1994), Vilnius Pedagogical University Research Interests: His research explores the integration of information technology with historical and parliamentary studies, including digital archiving of historical documents, IT in governance, and Baltic regional history. He has authored dictionaries on Lithuanian parliamentary figures and pioneered database projects for historical data preservation. Teaching: Information and Communication Technology Web Design Fundamentals of Digital Publishing Multimedia Basics Key Contributions: His publications address parliamentary monitoring in Western Europe, challenges in digitizing parliamentary history, and medieval Baltic treaties. He has presented at national and international conferences on digital humanities and IT applications in historical studies.

Le Gruenwaldمشاهده پروفایل

استاد

• Database Management
• Information Privacy and Security
• Mobile and Distributed Databases
• +۹ مورد دیگر

Dr. Le Gruenwald is the David W. Franke Professor and Samuel Roberts Noble Foundation Presidential Professor at the School of Computer Science, University of Oklahoma. She also served as Program Director for Data Management Systems at the National Science Foundation (NSF) and held roles including Director of the University of Oklahoma's School of Computer Science. Her academic journey includes a PhD from Southern Methodist University (1990), an M.S. from the University of Houston, and a B.S. in Physics from the University of Saigon, Vietnam. Research Interests: Her work focuses on Database Management Information Privacy & Security Mobile/Distributed Databases Data Mining Quantum Computing Applications in Databases Outlier Detection in Data Streams Key Projects: Includes NSF-funded research on GPU-accelerated spatial data processing, cloud query optimization, and big data hubs. Notable projects: "Spatial Data Management on GPUs" (2013), "Big Data Innovation Hub for the South" (2015), and quantum data science initiatives (2023). Awards: 2012 NSF Directorate Recognition 2007 Distinguished Alumnus Award (SMU) 2009 ACM Recognition Award 2016-2017 Semantic Big Data Workshop Leadership Advising & Grants: Oversees NSF grants totaling millions, focusing on cyberinfrastructure, ecological forecasting, and medical data analytics. No formal student advisees listed but collaborates extensively with researchers globally. Labs & Teams: Leads initiatives in quantum database optimization, mobile-cloud systems, and GPU-accelerated spatial analytics within OU's School of Computer Science.

• Maturity Models
• Information Systems Quality
• Online Service Quality
• +۵ مورد دیگر

Álvaro Rocha is an Honorary Professor at the University of Lisbon's ISEG (Lisbon School of Economics & Management), where he holds a D.Sc. in Information Science and teaches Information Systems. His research focuses on maturity models, e-Government, e-Health, and IT in education. He leads the ADVANCE research center and collaborates with LIACC and CINTESIS. Key roles include Vice-Chair of the IEEE Portugal Section and Editor-in-Chief of JISEM and RISTI journals. He advises international bodies like the European Commission and multiple governments. His educational background includes degrees in Computer Science, Mathematics, and Information Management. Recent work spans AI applications in healthcare, blockchain, and digital learning environments. Education: Aggregation in Information Systems (2011, Universidade Fernando Pessoa), Ph.D. in Information Systems (2001, Universidade do Minho), M.Sc. in Information Management (1995, Universidade Católica Portuguesa), and B.Sc. in Applied Mathematics (1990, Universidade Lusíada). Research highlights include developing maturity models for higher education institutions and health systems, AI-driven diagnostics, and metaverse-based learning frameworks. He has published extensively in journals like Neural Computing and Applications, and Springer book series. His grants include leadership in EU-funded projects and international advisory roles. Professional contributions include founding two Scopus-indexed journals and managing Springer's Information Systems Engineering & Management book series. He actively participates in conferences and collaborates globally on cybersecurity, IoT, and educational innovation.

• Multimedia Systems
• Computer Science
• Data Management
• +۳ مورد دیگر

Wolfgang Klas is a Professor in the Faculty of Computer Science, leading the Research Group Multimedia Information Systems. His research focuses on multimedia systems, artificial intelligence, and blockchain technology. He has been actively involved in research projects such as TP2 PRECIOUS (2013-2016), SciLink (2011-2014), and OptFI (2010-2013). Key research interests include multimedia content management, MPEG7 standards, object-oriented databases, and schema definition. He has also contributed to cybersecurity topics like fake review detection and blockchain applications. Publications span from multimedia systems to sentiment analysis, with recent work emphasizing AI-driven solutions. He is a frequent speaker on topics like blockchain innovation and data security, including presentations at SMAP 2020 and the IT4S Forum 2024. Media engagements include discussions on blockchain technology’s role in business and education reforms, such as lifelong study record systems. His work bridges academic research with real-world applications through industry collaborations and public outreach.

Xiaotong T Shenمشاهده پروفایل

استاد

• Machine Learning
• Data Science
• Statistical Inference
• +۱۲ مورد دیگر

Xiaotong T Shen is a Professor in the Department of Statistics at the University of Minnesota, Twin Cities, within the College of Science and Engineering. He is actively involved in research and currently accepting PhD students. His work is supported by major grants from the National Science Foundation (NSF) and the National Institutes of Health (NIH), including projects on gene regulatory networks, Alzheimer’s disease genetics, and generative learning on unstructured data. Research Interests: Machine Learning and Deep Learning Statistical Inference and Modeling Biomedical Applications in Genomics and Neurodegenerative Diseases Natural Language Processing and Video Interpretation Generative Models and Synthetic Data Causal Inference and Graphical Models His recent publications reflect a strong trend in integrating deep learning with statistical rigor for causal and biomedical discovery, particularly in high-dimensional settings. Articles span applications in hepatology, transcriptomics, manufacturing, and AI-driven data generation, demonstrating interdisciplinary impact. Scientific Projects and Grants: PI, NSF: Generative Learning on Unstructured Data (2020–2024) PI, NIH: Estimation and Inference in Gene Regulatory Networks (2017–2024) Co-I, NIH: Causal Deep Learning for Alzheimer’s Disease Genetics (2021–2026) PI, NIH: Directed Acyclic Graphical Models for Biological Networks (2022–2026) He has advised numerous research projects and collaborated extensively with researchers in biostatistics and computer science. His work contributes to UN Sustainable Development Goals through data science for health and well-being. He leads a research group focused on foundational and applied statistical learning, with ongoing efforts in developing robust, interpretable models for complex scientific data.

Arapi Polyxeniمشاهده پروفایل

مدرس

• Technology Enhanced Learning
• eLearning Systems and Applications
• Digital Libraries
• +۶ مورد دیگر

Arapi Polyxeni is a Lecturer and permanent laboratory teaching staff member at the Technical University of Crete , affiliated with the Electronic and Computer Engineering Department under the School of Electrical and Computer Engineering . She serves as the technical coordinator of the SoftNet Laboratory and contributes to research projects through collaborations with institutions like the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences . Education: Ph.D. in Informatics (2017), Institute of Mathematics and Informatics, Bulgarian Academy of Sciences M.Sc. in Electronic and Computer Engineering (2011), Technical University of Crete Diploma in Electronic and Computer Engineering (2003), Technical University of Crete Her research focuses on Technology Enhanced Learning, eLearning Systems, Digital Libraries, and Semantic Interoperability . She has led technical coordination for European R&D projects like Open Discovery Space and Natural Europe , emphasizing collaborative learning and cultural heritage digitization. Her work spans multimedia systems, database design, and service-oriented architectures. Arapi Polyxeni has received notable recognition, including the Technical Chamber of Greece award for best Diploma Thesis in Electronic Engineering (2003) . She has contributed to over 20 publications, addressing topics such as AR/VR applications in robotics education, metadata management for natural history museums, and pedagogy-driven personalization frameworks. She teaches Operating Systems and Structured Programming laboratory courses. Her technical expertise extends to systems integration, digital library interoperability, and real-time collaborative learning environments like CoLearn and Octopus .