جستجوی استاد راهنمای دانشگاهی

Consuelo R. Navaمشاهده پروفایل

دانشیار

• Econometrics
• Time Series Analysis
• Price Indices
• +۳ مورد دیگر

Consuelo R. Nava is Associate Professor of Economic Statistics at the University of Aosta Valley (University of Valle d'Aosta) in the Department of Economic and Political Sciences. She also serves as a visiting professor at the Catholic University of the Sacred Heart in Milan and the University of Turin. Additionally, she is a member of the Cross-Border Center on Tourism and Mountain Economies. Dr. Nava earned her undergraduate degree (laurea triennale) in Business Economics from the University of Aosta Valley and Economics from the University of Turin, both with highest honors (110 e lode). She completed her PhD in Economics with a focus on applied mathematics and statistics at the University of Turin's Vilfredo Pareto Doctoral School in 2014. Following her doctorate, she worked as a research fellow at the Department of Economics and Statistics Cognetti de Martiis at the University of Turin (2014-2016) and as a research grant recipient with the Department of Translational Medicine at the University of Eastern Piedmont (2016-2017). Dr. Nava's research focuses on econometrics, time series analysis in the frequency domain, price indices, Bayesian inference, and discrete choice models. Her work bridges theoretical statistical methods with practical applications in economics, energy markets, tourism, and public health. She has developed innovative approaches to price index construction, switching behavior analysis in electricity markets, and Bayesian methods for modeling complex economic phenomena. Her publications demonstrate a strong interdisciplinary approach, with research spanning economic statistics, public health applications, tourism economics, and energy market analysis. Recent work shows an increasing focus on applying machine learning techniques alongside traditional econometric methods, particularly in analyzing startup survival during economic crises and modeling consumer behavior in liberalized markets. Dr. Nava has received several prestigious awards and recognitions: TEM Summer School Grant, Aosta, Italy Civil Society Talents Fellowship, Giovanni Goria Foundation, Asti, Italy Junior DESPINA Fellow, Big Data Lab, Turin, Italy Google Early Career Researchers Travel Grant, ISBA Socialis Prize, 7th edition, for her thesis on Corporate Social Responsibility Honor Student Scholarship, Collegio Carlo Alberto, Moncalieri, Italy As an educator, Dr. Nava has taught extensively across multiple institutions including Statistics, Quantitative Methods for Management, Econometrics, and Bayesian Statistics. She has served as a reviewer for several academic journals including Economics of Innovation and New Technology, Italian Journal of Applied Statistics, L'Industria, and Bayesian Analysis. Her research projects include studies on cruise ship impacts on destinations, illegal gambling analysis, switching behavior in European electricity markets, and Bayesian methods for analyzing asbestos exposure effects on mesothelioma risk. Her work with the Cross-Border Center on Tourism and Mountain Economies reflects her commitment to regional economic development research.

• Data visualisation
• Visual Analytics
• Information Visualisation
• +۴ مورد دیگر

Christy Jie Liang is an Associate Professor at the School of Computer Science, University of Technology Sydney (UTS), where she leads the Data Visualisation Research Lab in the Visualisation Institute. With extensive experience in both academic and industry settings, including appointments at IBM and Peking University, she has established herself as a leading researcher in data visualization and visual analytics. Dr. Liang earned her PhD in Data Visual Analytics from UTS, where she was awarded the University Medal with First Class Honours. Her educational background includes a Bachelor of Information Technology (First Class Honours) also from UTS. Professor Liang's research focuses on data visualization and visual analytics, with particular emphasis on information visualization, narrative visualization, and the application of these techniques to real-world problems. Her work spans multiple domains including finance, food safety, biomedical applications, smart cities, and social media. She has developed novel visualization techniques and owns five intellectual properties in this field. Her recent publications demonstrate a clear trajectory toward more sophisticated visualization techniques that integrate machine learning, with increasing focus on narrative visualization, user engagement across demographics, and practical applications in domains such as public health and education. The interdisciplinary nature of her work is evident in collaborations across computer science, behavioral science, and domain-specific applications. Dr. Liang has received significant recognition for her work, including: University Medal with First Class Honours from UTS Capital Markets CRC Honours scholarship Australian Postgraduate Awards As an educator, Professor Liang coordinates core subjects for Bachelor of Information Technology, Bachelor of Computer Science with Honours, Master of Interaction Design, and Master of Business Analytics programs. She has recently developed enterprise learning courses including short courses and micro-credentials in data visualization education. Her leadership extends to service roles as associate editor for JVLC and Journal Visual Informatics, program committee member for numerous conferences, and advisory board member for the Australian Computer Society and Peking University Medical Visualization Centre. Professor Liang leads the Data Visualisation Research Lab, which focuses on developing innovative visualization techniques and applying them to real-world problems. The lab maintains strong industry connections, with collaborations spanning government agencies, academic institutions, and commercial enterprises across multiple continents.

• Artificial Intelligence
• Data Science
• Health Informatics
• +۳ مورد دیگر

Jorge Raul Navarro-Cabrera serves as a contracted lecturer in the Faculty of Engineering and Architecture at Peruvian Union University since March 2025, while concurrently holding technical and editorial roles at Universidad Nacional de San Martin in Tarapoto, Peru. His institutional affiliations demonstrate dual engagement in academic instruction and university publishing operations. He earned his Systems and Computer Engineering degree from Universidad Nacional de San Martin, establishing the foundation for his interdisciplinary research career. This educational background directly informs his applied technical approach across diverse domains. Navarro-Cabrera's research program centers on artificial intelligence and data science applications addressing Peruvian societal challenges. His work in health informatics develops non-invasive diagnostic tools using computer vision, while tourism technology research focuses on ICT solutions for destination promotion. Educational data mining constitutes another pillar, particularly unsupervised learning for student retention prediction. These threads converge in practical implementations like municipal sociocultural web applications and immigration risk classification systems. Analysis of his 15 most recent publications reveals a consistent pattern of collaborative research with Miguel Valles-Coral and Lloy Pinedo, spanning healthcare diagnostics, tourism innovation, and educational technology. The geographical focus remains predominantly Peruvian, with methodological strengths in unsupervised learning algorithms and multimodal data analysis. His academic service includes editorial assistance for scientific journals at Universidad Nacional de San Martin, complementing his technical role in the university's editorial department. This combination of teaching, research, and publishing support reflects a multifaceted academic profile engaged with both theoretical and operational aspects of higher education.

• 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.