جست‌وجوی استاد و پژوهشگر

Bruce M. McLarenمشاهده پروفایل

استاد

• Learning Sciences
• Educational Technologies
• Human-Centered AI
• +۷ مورد دیگر

Bruce M. McLaren is a Professor at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), where he heads the McLearn Lab. He previously served as President of the International Artificial Intelligence in Education Society (2017-2019) and has been elected to the Executive Committee of the AI-ED Executive Committee for two separate terms (2012-2017 and 2022-2027). Dr. McLaren's research focuses on how technology can support education through digital learning games , intelligent tutoring systems , and collaborative learning environments. His work has demonstrated that students can learn decimals more effectively through Internet-based learning games compared to conventional methods. He has also conducted significant research on erroneous examples in learning, showing how students benefit from working with incorrect solutions alongside intelligent tutors. His publications reveal a strong trend toward integrating artificial intelligence with educational technologies, particularly in analyzing student learning patterns, developing adaptive educational games, and creating tools that support both students and teachers in classroom settings. Recent work increasingly focuses on the application of generative AI like ChatGPT in educational contexts. Best Paper Award at ECTEL 2023 for research on ChatGPT in decimal learning Fulbright Scholarship recipient for educational technology work in Chile (2019) Multiple best paper awards at major AI in Education conferences Erskine Fellowship for teaching Intelligent Tutoring Systems in New Zealand As an advisor, Professor McLaren has mentored numerous students in the HCII program and has secured significant research funding, including NSF grants for projects like AdaptErrEx and LASAD. His lab, the McLearn Lab, serves as a hub for interdisciplinary research at the intersection of learning sciences and artificial intelligence. Beyond academia, he brings over 20 years of commercial sector experience, having served as Director of eCommerce Technologies at OpenWebs Corporation and leading expert system projects at Carnegie Group, Inc.

Liu Hongyanمشاهده پروفایل

استاد

• Big data management and analysis
• machine learning
• data mining
• +۷ مورد دیگر

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

• Mathematics Education
• Interactive Multimedia in Teaching
• Educational Technology
• +۵ مورد دیگر

Marina Milovanović is a Professor at the University of Singidunum, Faculty of Informatics and Computing, Department of Mathematics. She holds dual doctoral degrees from the Faculty of Science, University of Kragujevac (Department of Mathematics, 2014) and Faculty of Entrepreneurial Business, Union University (2008), along with Master's and Bachelor's degrees from the Faculty of Mathematics, University of Belgrade (2000-2005 and 1995-2000 respectively). Faculty of Science, University of Kragujevac, Department of Mathematics (PhD, 2014) Faculty of Entrepreneurial Business, Union University (PhD, 2008) Faculty of Mathematics, University of Belgrade (Master's, 2000-2005) Faculty of Mathematics, University of Belgrade (Bachelor's, 1995-2000) Svetozar Marković High School, science and mathematics major (1991-1995) Professor Milovanović specializes in Mathematics Education and Educational Technology, with particular expertise in interactive multimedia applications for teaching mathematics. Her research consistently bridges theoretical mathematics with practical educational technology solutions, evolving from traditional multimedia approaches to incorporating cutting-edge AI and machine learning techniques. She has authored multiple books including 'Interactive multimedia in mathematics teaching' (2015) and collections of solved mathematics problems for entrance exams. Her recent publication record through 2025 demonstrates active engagement in interdisciplinary research, particularly at the intersection of educational technology, artificial intelligence, and practical applications in fields ranging from software engineering to medical diagnostics. Her work shows a clear trajectory from foundational educational technology research toward more sophisticated AI-enhanced learning systems. Professor Milovanović has made significant contributions to semantic web applications in education, particularly through Moodle LMS enhancements, and has explored SCADA applications in industrial contexts. Her collaborative research spans multiple countries and institutions, reflecting an international scholarly network. She has extensive experience developing computer tools for engineering education and has published on diverse topics including petroleum industry processes, environmental management, and financial mathematics. Her work demonstrates consistent application of computational approaches to solve domain-specific problems across multiple disciplines.

• Database Information Management
• Big Data Management Systems
• Data Structures
• +۲ مورد دیگر

Ioannis Tsaknakis is an Associate Professor at the Department of Electrical & Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in computational geometry and multidimensional data structures from the University of Patras (2004) and has been actively involved in software systems research since 2004. His work spans Database Information Management , Big Data Systems , and Knowledge Mining , with a focus on data structures and computational geometry. Research Interests : Information Management in Databases Big Data Management Systems Computational Geometry Knowledge Mining in Databases/Web Publications highlight his contributions to IoT-driven educational frameworks, machine learning applications, and cryptographic systems for data security. He has taught courses on software design and data management since joining the University of Peloponnese in 2019. Contact : jtsaknakis@uop.gr . Office hours are in Building K (Monday & Tuesday, 8:00-9:00).

Kelly McDonoughمشاهده پروفایل

استاد

• Colonial Literary and Cultural Studies
• Critical Indigenous Studies
• Ethnohistory (Nahuatl Studies)
• +۲ مورد دیگر

Kelly McDonough is a Tomás Rivera Regents Professor and Graduate Adviser at the University of Texas at Austin, affiliated with the College of Liberal Arts. She holds a Ph.D. from the University of Minnesota and specializes in interdisciplinary research bridging Colonial Literary and Cultural Studies, Critical Indigenous Studies, Ethnohistory (Nahuatl Studies), Science and Technology Studies, and Digital Humanities. Ph.D., University of Minnesota Her research focuses on Nahua intellectual production in Mexico over the past 500 years, challenging racialized discourses that exclude Nahuas from intellectual history. Her books The Learned Ones: Nahua Intellectuals in Postconquest Mexico and Indigenous Science and Technology: Nahuas and the World Around Them (2024) explore Nahua theoretical and practical inquiries into their environments across pre-invasion, colonial, and contemporary periods. McDonough leads collaborative digital humanities projects, including the digitization of the Fondo Real de Cholula judicial archive and the Co-PI role in the Unlocking the Colonial Archive initiative, which harnesses AI for Indigenous and Spanish American historical collections. She teaches courses covering global Indigenous media, critical Indigenous studies, and Nahuatl language. Key Research Themes: Indigenous knowledge systems, colonial archives, environmental inquiry, digital humanities methodologies, ethnohistory.

Anders Pousetteمشاهده پروفایل

مدرس

• Organizational Psychology
• Leadership Training
• Information Security
• +۴ مورد دیگر

Anders Pousette is a Lecturer at the University of Gothenburg, affiliated with the Department of Organization, Health and Addiction. His academic work focuses on organizational psychology, leadership training, information security, occupational safety, and psychosocial working conditions in high-risk industries such as healthcare and construction. His research explores the interplay between organizational support climates and workplace safety, with a particular emphasis on ethical value conflicts in healthcare, leadership practices in construction, and security culture in nuclear and transportation sectors. He employs mixed-methods approaches and longitudinal studies to evaluate interventions and workplace dynamics. Recent publications highlight his work on managerial training programs, cross-cultural comparisons of safety practices, and the impact of psychosocial factors on information security behavior. His collaborations span multiple disciplines and institutions, particularly with Marianne Törner and Martin Grill.

• Machine Learning
• Time Series Analysis
• Text Mining
• +۷ مورد دیگر

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin , where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre . Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC). Education: BSc in Computer Science, University of Bucharest, Romania MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany Dr. Ifrim specializes in scalable predictive modeling for diverse applications including: Sequence learning (DNA analysis, time series) Real-time prediction for streaming data (news/social media, energy) Interpretable machine learning models Knowledge graph exploitation (WordNet/Yago, Naga) Wearable sensor data analysis (sports science, health monitoring) Energy price forecasting for sustainable systems Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection). Scientific Awards: Winner of SNOW@WWW14 Data Challenge As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning , real-time analytics , and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.

• Cognitive Science
• Quantum Theory in Information Modeling
• Learning Analytics
• +۶ مورد دیگر

Kirsty Kitto is an Associate Professor at the University of Technology Sydney in the Learning Design and Technology Unit. With a background in theoretical physics and computer science, her research focuses on developing quantum-inspired models of contextuality to understand complex human behavior in educational systems. She explores the intersection of Artificial Intelligence (AI) , Learning Analytics , and Educational Theory , seeking to bridge the divide between big data and pedagogical frameworks. Current Appointments : Associate Professor (2020-present), Senior Lecturer (2017-2020) Past Academic Roles : Senior Research Fellow (QUT), Senior Lecturer (QUT), Associate Lecturer (Flinders University) Her funded research includes projects on: Quantum models in cognitive systems (ARC Fellowship DP1094974) AI literacy in digital workplaces (IEEE Transactions study) Contextual learning analytics (DVC Education and Students Division) Skills passports for lifelong learning (UMAP 2024 paper) Kitto's recent work examines human-AI interaction in writing assessment, data storytelling for teacher-centered analytics, and causal modeling to strengthen educational theory-data connections. She actively supervises Masters and PhD students and contributes to policy debates through government submissions on generative AI in education. Her methodology combines mathematical formalism with sociotechnical analysis to address educational complexity.

Paul Brindleyمشاهده پروفایل

مدرس ارشد

• Digital Representations of Landscape
• GIS Mapping
• Health Inequality
• +۵ مورد دیگر

Dr. Paul Brindley is a Senior Lecturer at the School of Architecture and Landscape , University of Sheffield, specializing in geospatial analysis of human-landscape interactions. His work combines GIS, statistics, and digital data to address urban greenspace equity, rural-urban classification, and health-environment linkages. Senior Lecturer in GIS and Spatial Analysis Key researcher in the NERC-funded Improving Wellbeing through Urban Nature (IWUN) project Co-author of official Rural-Urban Classification for England and Wales Research focuses on: Urban Greenspace Accessibility using GPS and social media data Health Inequality Mapping through epidemiological GIS studies Vague Geographic Objects modeling of subjective spatial boundaries Computational Neighborhood Mapping via web data mining Project leadership includes: 2016-2019: IWUN Work Package 1 (Sheffield health-green space analysis) 2013-2014: Rural-Urban Classification updates for 2011 Census 2015: Real-Time Bus Data Mapping system development Teaching modules: LSC119: The Changing Landscape LSC336: Landscape Planning Toolkits LSC5020: Rural Landscape Planning GIS Workshops Professional contributions: Co-developer of Crime Map Analyst toolkit for non-GIS experts Joint Director of Learning and Teaching Links Member of Creative Spatial Practices initiative

• Infectious Disease Epidemiology
• Vector Borne Diseases
• Malaria Research
• +۶ مورد دیگر

Dr. Caroline Buckee is a Professor of Epidemiology at the Harvard T.H. Chan School of Public Health, where she joined as an Assistant Professor in summer 2010 and was promoted to Professor in 2021. She served as Associate Director of the Center for Communicable Disease Dynamics from 2013-2023. Dr. Buckee co-founded and co-directs Crisis Ready (crisisready.io), a joint platform between Harvard's Data Science Initiative and Direct Relief that supports data-driven responses to public health emergencies. She also co-leads the South Asia Climate and Health Research Cluster supported by Harvard's Salata Institute for Climate and Sustainability. Dr. Buckee's research spans infectious disease epidemiology and ecology with a focus on vector-borne diseases including malaria and dengue. Her work examines human mobility and the impact of labor migration on epidemic spread, as well as the intersection of climate risks and human health. Her research group actively supports National Malaria Control Programs in the global south to improve surveillance and analytical approaches. Specific projects include studying the impact of gold-mining on malaria transmission in the Amazon region and investigating how extreme heat affects poor working women in India, with the goal of developing community-led interventions. Dr. Buckee's recent publications demonstrate a strong focus on integrating genomic data with epidemiological modeling, particularly for malaria parasites. Her work addresses critical gaps in understanding spatial disease dynamics, the impact of human mobility on outbreaks, and the development of privacy-preserving methods for using mobile phone data in public health. She has made significant contributions to understanding how environmental factors, including climate change and resource extraction, influence disease transmission patterns. Dr. Buckee has received NIH funding including the R35GM124715 grant for "New approaches to measuring and containing the spatial spread of human pathogens" and R21GM100207 for "An alignment free network approach to analyzing highly recombinant malaria parasites." Her research has been widely cited and has influenced public health responses to infectious disease outbreaks globally. Through Crisis Ready, Dr. Buckee's team works at the intersection of data science and public health emergency response, developing tools and approaches to improve real-time decision-making during crises. Her group maintains strong international collaborations, particularly with researchers and public health officials in malaria-endemic regions of South America and South Asia.

Paul Ralphمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Human-Computer Interaction
• +۱۷ مورد دیگر

Dr. Paul Ralph is a Professor in the Faculty of Computer Science at Dalhousie University , where he leads the Dalhousie Software Engineering Lab (DalSEL) . His work bridges software engineering, human-computer interaction, and project management, with a focus on empirical research and social sustainability in software development. Education: PhD in Computer Science, University of British Columbia BSc in Computer Science, Memorial University BComm in Business, Memorial University Dr. Ralph's research centers on the sociotechnical aspects of software engineering , particularly how team dynamics, ethics, and human factors influence software success. He rejects pseudoscientific models like Waterfall and SDLC, and avoids AI/ML/data science, instead emphasizing rigorous qualitative and quantitative human-participant studies. His lab is known for its work on socially sustainable software engineering and evidence standards in computing research. His recent publications reflect a strong trend toward methodological rigor, ethical computing, and human-centered practices . Themes include empirical standards, agile methods, requirements engineering, and the social impact of technology. He publishes in top venues like IEEE TSE and ICSE , and has authored over 80 scholarly works. Scientific Awards and Recognition: Award-winning scientist (multiple unspecified awards) Editor-in-Chief, SIGSOFT Empirical Standards for Software Engineering Research Dr. Ralph is actively involved in mentoring and funding graduate students , particularly through external scholarships like NSERC, Killam, and Banting. He prioritizes applicants from underrepresented groups and emphasizes original, non-AI-generated work. His lab offers strong industry connections, professional development, and support for tenure-track aspirations among postdocs. Labs and Research Groups: Dalhousie Software Engineering Lab (DalSEL) : Focuses on empirical, human-centered software engineering research, with active projects in social sustainability and evidence standards.

Michael Clarkeمشاهده پروفایل

استاد

• Computer Music
• Electroacoustic Music
• Music Technology
• +۶ مورد دیگر

Professor Michael Clarke is a distinguished academic at the University of Huddersfield , serving as Director of IRiMaS (Interactive Research in Music as Sound) and holding leadership roles including former Dean of the School of Music, Humanities and Media and Dean of the Graduate School . His career spans over three decades at Huddersfield, where he has pioneered innovative software for music composition, pedagogy, and analysis. Education: PhD in Music (Durham University), MTC in Teaching (UCL Institute of Education) Clarke's research focuses on composition , particularly in live interactive works , and the development of software like Max/MSP for musicological analysis and sound synthesis. His work intersects with UN Sustainable Development Goals , emphasizing technological innovation in education and cultural preservation. Recent publications highlight his contributions to interactive aural analysis and fluid corpus manipulation tools. Clarke has secured major funding, including a €2.5m ERC Advanced Grant for IRiMaS and AHRC grants for collaborative projects. Awards include the National Teaching Fellowship (2011) and multiple European Academic Software Awards . Scientific Awards: National Teaching Fellowship (2011) European Academic Software Awards (record 3 wins) As a Principal Investigator , he has led projects with Prof Peter Manning and Dr Frédéric Dufeu, while actively supervising PhD students and contributing to REF assessments.

Pierre Monninمشاهده پروفایل

پژوهشگر

• Knowledge Graphs
• Semantic Web
• Graph Embedding
• +۴ مورد دیگر

Pierre Monnin is a Junior Fellow in AI at Université Côte d'Azur , conducting research within the Wimmics team at the I3S Laboratory . He also teaches within the EFELIA Côte d'Azur program. His work spans multiple institutions through funded projects like SHACKLE (EU Horizon), ECLADATTA and AT2TA (ANR), with collaborations at Télécom Paris , Università di Bari , and INESC-ID in Lisbon. Previous roles include temporary lecturer at TELECOM Nancy (2023-2024) and researcher at Orange (2020-2023). Research Interests focus on the knowledge graph lifecycle (construction, matching, refinement, mining, discovery) from neurosymbolic AI and analogical reasoning perspectives. He explores Domain knowledge injection into ML models Symbolic-semantics for graph embeddings Zero-shot bootstrapping techniques Context-aware semantic annotation Link prediction with constraint enrichment Life sciences applications Recent scientific awards include: Best Paper Award at ESWC 2024 (Student & Resource Papers) Best Thesis Award from French Association EGC (2022) 1st Prize (Accuracy Track) at Semantic Web Challenge (2021) His teaching portfolio covers AI fundamentals for foreign languages, marketing, and adult education programs, with specialized courses in Semantic Web technologies NoSQL databases XML tools Compiler implementation He supervises multiple PhD students and interns on topics involving neurosymbolic refinement , knowledge reconciliation , and analogical reasoning . Key software contributions include: KGPrune - Web application for thematic Wikidata subgraph extraction PyGraft - Synthetic knowledge graph generation tool DAGOBAH UI - Semantic table interpretation interface He also maintains datasets like PGxLOD and YAGO4-LP for pharmacogenomics and link prediction.

Milena Stróżynaمشاهده پروفایل

استادیار

• Data Modeling
• Artificial Intelligence
• Disinformation Detection
• +۵ مورد دیگر

Milena Stróżyna is an Assistant Professor at the Department of Economic Informatics in the University of Economics in Poznan , Poland. Her work focuses on data modeling, AI applications in disinformation detection, and maritime data analysis . Email: milena.strozyna@ue.poznan.pl Research interests span: Data Modeling & Analysis : Extracting insights from diverse data sources, ensuring quality, and implementing ERP systems Disinformation Studies : Developing AI tools for fake news detection and semantic mapping of misinformation topics Maritime Data Science : Crisis impact analysis in shipping, anomaly detection in maritime transport Scientific Contributions include: Pioneering OpenFact system for information verification Creating adversarial text detection methods Leading research on generative AI risks in information integrity Notable Awards : 2018: Most innovative article at NATCON conference Multiple first-place international competition wins with OpenFact system (2022-2024)

• Marketing
• Digital Transformation
• Sustainability
• +۳ مورد دیگر

Dr. Alessandro Inversini is an Associate Professor at the EHL Hospitality Business School, part of HES-SO University of Applied Sciences Western Switzerland. His primary role involves teaching and researching in the Department of Global Hospitality Business, focusing on marketing, digital transformation, and sustainability within the hospitality and tourism sectors. Educational Background: No explicit educational details provided in the text. Research Interests: Explores the transformative impact of emerging technologies (e.g., AI, ChatGPT) on hospitality operations and customer experience. Advocates for regenerative and net-positive approaches to sustainability in the hospitality industry. Investigates CSR communication strategies on social media and cross-cultural dynamics in tourism reviews. Analyzes digital media’s role in B2B relationships and customer-centric frameworks. Article Trends: Recent works emphasize AI-driven changes in tourism, ethical digital transformation, and CSR practices. Key themes include regenerative hospitality, cultural review differences, and leveraging social media for transformative learning. Awards: No scientific awards explicitly listed. Advising & Grants: Guided research on regenerative hospitality in Lebanon and transformative homestay experiences in Malaysia. Contributed to international conferences like ENTER2016 and EuroCHRIE 2024. Labs/Teams: Collaborates with interdisciplinary teams on projects involving digital tools for rural development and ethical technology integration in hospitality.