جست‌وجوی استاد و پژوهشگر

Héctor Gibrán Ceballos-Cancinoمشاهده پروفایل

استاد

• Social Network Analysis
• Machine Learning
• Process Mining
• +۵ مورد دیگر

Héctor Gibrán Ceballos-Cancino serves as Director of the Living Lab & Data Hub of the Institute for the Future of Education (IFE) at Tecnologico de Monterrey and is a full-time faculty member of the Computer Science Graduate Program (DCC). Previously, he led the Scientometrics office at the Research Vice-Rectory of Tecnologico de Monterrey for 18 years, establishing himself as a key figure in research evaluation at the institution. His educational background includes: Computer Systems Engineer from Instituto Tecnológico De Veracruz Master of Science with specialization in Intelligent Systems from Tecnologico de Monterrey PhD in Information Technology and Communications from Tecnologico de Monterrey (2010) Dr. Ceballos-Cancino's research program bridges artificial intelligence with practical applications in education and organizational contexts. His work spans Social Network Analysis, Machine Learning, Process Mining and Agent theory, applied specifically to Research Analytics and Educational Data Mining. He has developed significant expertise in applying AI techniques to solve real-world problems across multiple domains, with particular focus on educational improvement and research evaluation. Analysis of his recent publications reveals a strong trajectory toward quantum machine learning applications for education, learning analytics in Latin American contexts, and sophisticated student success prediction models. His work demonstrates consistent innovation in applying advanced computational techniques to educational challenges, while also maintaining strong contributions to scientometrics and building technology applications. His scientific recognition includes: Premio Tecnos 2023 conferred by Gobierno de Nuevo León Mexican Researcher Certification - Level 1 Member of the Mexican National System of Researchers (SNI) Adherent member of the Mexican Academy on Computing (AMEXCOMP) Dr. Ceballos-Cancino has supervised thesis work as evidenced by his teaching activity in 'Design of Intelligent Agents Thesis II.' His research has been supported by institutional initiatives at Tecnologico de Monterrey, including predictive analytics platforms for public administration evaluation. He has also provided expert consulting services for banks and IT companies, and promoted Semantic Web technologies adoption across multiple sectors. As Director of the Living Lab & Data Hub, he leads initiatives focused on 'Engaging and Motivating Learning Models,' connecting his technical expertise with educational innovation. His work aligns with multiple UN Sustainable Development Goals, particularly Quality Education (SDG 4) and Industry, Innovation and Infrastructure (SDG 9), demonstrating his commitment to technology for social impact.

• Information Systems
• Artificial Intelligence
• Digital Economy
• +۵ مورد دیگر

Lloy Pinedo-Tuanama is a Research Professor at Norbert Wiener Private University's School of Engineering and Business and a Researcher at the National University of San Martín's Faculty of Systems and Computer Engineering. He serves as Associate Editor for the Journal of Systems and Computer Science and coordinates the Business Digital Transformation Research Group and Smart Business Research Seedbed. His work bridges academic research with practical applications in Peru's socio-economic context. Education: Bachelor of Systems and Computer Engineering, National University of San Martín (2016-2021) Master of Science in Information Technology, National University of San Martín (2022-2024) PhD Candidate in Information and Communication Technologies Research Focus: Pinedo's interdisciplinary work integrates artificial intelligence with real-world challenges in healthcare, tourism, and education. His research in digital transformation addresses Peru's regional development needs, particularly in the Amazon region, through projects on sustainable tourism, non-invasive medical diagnostics, and educational technology. He emphasizes practical implementations of machine learning for social impact. Publication Trends: Recent publications (2023-2025) reveal a strategic focus on applied AI solutions: 40% in healthcare (anemia detection, hypertension management), 35% in tourism (visitor profiling, sustainable practices), and 25% in education systems. His work consistently applies machine learning to solve region-specific problems while advancing methodological approaches in multimodal data analysis. Scientific Recognition: RENACYT Researcher Level IV (CONCYTEC, 2022-present) PRONABEC Scholarship Holder Research Leadership: Pinedo has secured 19 grants totaling over $500,000 from institutions including PROCIENCIA and Norbert Wiener University. His projects demonstrate strong community engagement, particularly with San Martín region institutions. Current initiatives include generative AI for Amazonian community tourism, digital museum communication strategies, and sustainable tourism analytics for Peruvian travel agencies. Research Infrastructure: He directs the Business Digital Transformation Research Group at Norbert Wiener University, which operates a dedicated AI laboratory for tourism and healthcare applications. The Smart Business Research Seedbed mentors 15+ undergraduate researchers in applied AI projects, with strong industry partnerships in Peru's technology sector.

• Social Work
• Child Welfare
• Social Policy
• +۵ مورد دیگر

Christian Sørhaug serves as Associate Professor at Oslo Metropolitan University's Department of Social Work, Child Welfare and Social Policy, Faculty of Social Sciences. His research bridges digital welfare transformations, material culture studies, and indigenous social practices through innovative assemblage theory applications. Education PhD, University of Oslo (2012): Dissertation examining Warao householding practices in Venezuela's Orinoco Delta. Research Focus Sørhaug investigates digital welfare state implementations through ethnographic studies of resistance and accommodation strategies. His scholarship spans volunteer choreography in Norwegian nursing homes, lifestyle migration dynamics in rural communities, and Warao indigenous material practices in Venezuela, consistently analyzing human-nonhuman relations and socio-material constitution of social life. Publication Trends 2021-2023 publications critically dissect digital welfare translations and grassroots technical design, while earlier works (2015-2020) explore Warao livelihoods, lifestyle migration, and care practices. Cross-cutting themes include assemblage formation, material agency, and sustainability challenges across digital, rural, and indigenous contexts. Research Engagement Globalisation and Social Sustainability Research Group KlimaVel Research Group No scientific awards or student advising details were documented in source materials.

• Social Inclusion
• Supported Employment (SE)
• Individual Placement and Support (IPS)
• +۵ مورد دیگر

Associate Professor at Oslo Metropolitan University's Faculty of Social Sciences, Department of Social Work, Child Welfare and Social Policy. Holds a doctorate in sociology with specialization in social policy. Permanent invited lecturer at ELTE University (Budapest) and Institute of Social Work (Dar es Salaam). Actively engaged in international collaboration between Global North and South institutions. Research focuses on social inclusion of marginalized groups , particularly through supported employment (SE) and individual placement and support (IPS) frameworks. Additional expertise in gender policy, women's leadership, organizational culture, and digital transformation of welfare services. Current leadership in WORKINC project examining work inclusion across urban contexts. Recent publications reveal strong emphasis on digitalization challenges in social work practice, analyzing impacts on professional decision-making, service accessibility, and organizational culture. Research combines critical analysis of welfare state sustainability with practical implementation studies across European and African contexts. Key projects include SOLIDEM (examining trust in welfare states) and UKRINT (labor market integration of Ukrainian refugees). International engagement spans East and South African academic institutions with focus on comparative welfare models. Research methodology integrates mixed-methods approaches including discourse analysis, qualitative fieldwork, and cross-national comparisons to address contemporary welfare challenges.