Dr. Luca Farnia | Causal Structure Learning Algorithms

Dr. Luca Farnia | Leading Researcher in Causal Structure Learning Algorithms

Congratulations,Dr. Luca Farnia  on winning the esteemed Best Researcher Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Dr. Luca Farnia Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:
📚 Education 

2003: Master’s Degree in Economics and Finance, Venice International University (IT)

2002: Laurea Magistrale in Economics and Business (spec. in economics politics-quantitative), University Ca’ Foscari of Venice (IT)

🌐 Languages

Italian: native speaker

English: fluent

💻 PC Skills

Operating systems DOS, Windows: excellent knowledge.

Microsoft Office: excellent knowledge.

Mathematical, Statistical computing, and graphics programming language R Cran: excellent knowledge.

SQL: good knowledge.

🎯 Hobbies and Personal Interests

Playing Soccer, traveling, photography, painting.

👥 References

C. Carraro, Professor of Econometrics, Faculty of Economics, Department of Statistics, Cà Foscari University of Venice, IT

S. Giove, Associate Professor, Department of Applied Mathematics, Cà Foscari University of Venice, IT

P. Pellizzari, Associate Professor, Department of Applied Mathematics, Cà Foscari University of Venice, IT

B. Melemberg, Professor of Econometrics and Finance, Department of Econometrics and Operations Research, Tilburg University, NL

📋 Declaration

In accordance with D.P.R. n. 445/2000 and subsequent amendments and integrations, I declare that the information provided is true and authorize the processing of personal data for the purposes related to the current selection process, in compliance with D.Lgs. 196/2003 and subsequent amendments.

🌍 International Experts Consultation

Task Force Member on Leading, Composite, and Sentiment Indicators, United Nations Economic Commission for Europe (UNECE), Genève (CH) (8-10 December 2015; July 6-7 2017).

Consulted expert and contributing author for the “Green Growth Performance Measurement tool (GGPM)”, Seoul (February 15-16 2017), Geneva (June 7-8 2018), Rome (December 7-8 2018).

👨‍💼 Working Experience

Fondazione Eni Enrico Mattei (Venice, IT)

Senior Researcher

Development of composite indicators in various fields, sustainability, countries’ climate risk evaluation, performance evaluation of researchers and international institutions.

Decision Makers preferences’ elicitation.

Multivariate analysis, regression, Principal Component Analysis, data forecasting, and simulation.

📖 Publications  Top Note :

The ex-ante evaluation of achieving sustainable development goals paper published in 2018 cite by 101

Supporting the UN SDGs transition: Methodology for sustainability assessment and current worldwide ranking paper published in2018 cite by 50

A network approach for moving from planning to implementation in climate change adaptation: Evidence from southern Mexico paper published in 2019  cite by 32

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 360, Since 2018 – 332
  • h-index: All – 8, Since 2018 – 8
  • i10 index: All – 7, Since 2018 – 6

 

 

Prof Ke Li | Causual inference

Prof. Ke Li | Leading Researcher in Causual inference

Congratulations,Prof Ke Li  on winning the esteemed Best Scholar Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Prof Ke Li Sebastin is a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

👨‍🏫 Positions

Head, Hunan Institute for Carbon Peaking and Carbon Neutrality, China (2022 – Present)

Professor, Hunan Normal University, China (2017 – Present)

📚 Teaching:

Graduate Courses: Introduction to Econometrics, Statistical Learning

Undergraduate Courses: Advanced Econometrics, Energy and Environmental Statistics

🏆 Awards:

World’s Top 2% Scientists, 2020~2023

Elsevier China’s Highly Cited Scholars, 2020~2023

Award for natural science in Hunan province (2018) for Research on Methodology and Application of Green Growth Performance Evaluation in China

🔍 Journal Review:

Referee for more than 50 Journals including Applied Energy, Energy Policy, Journal of Cleaner Production, Sustainability, and others

📖 Publications  Top Note :

Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network    paper published in January 2023 cite by 31

Measuring total-factor energy environment efficiency, energy-saving and carbon emission-reduction potential in China’s food industry: Based on a meta-frontier slacks-based measure model   paper published in January 2023

Spatiotemporal characteristics of PM<sub>2.5</sub> and ozone concentrations in Chinese urban clusters  paper published in 2022