Dr. Alice Guzzetti | Correspondence Analysis | Best Researcher Award

Dr. Alice Guzzetti | Correspondence Analysis | Best Researcher Award

👩‍⚕️Dr. Alice Guzzetti | Università Cattolica del Sacro Cuore  | Italy

Dr. Alice Guzzetti 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

Scopus profile

orcid

đź“ť Dati Anagrafici:

🎓 Formazione:

  • 🎓 Dottorato di Ricerca: “Management and Innovation”, UniversitĂ  Cattolica del Sacro Cuore, Milano, Italia, 2023.
  • 🎓 Laurea Specialistica: “Mercati e Strategie d’impresa” (Votazione 102/110), UniversitĂ  Cattolica del Sacro Cuore, Milano, Italia, 2015.
  • 🎓 Laurea Triennale: “Economia e Gestione dei Beni Culturali e dello Spettacolo” (Votazione 105/110), UniversitĂ  Cattolica del Sacro Cuore, Milano, Italia, 2012.

👩‍🏫 Attuale Ruolo Accademico:

  • 👩‍🏫 Professore a contratto per il corso “Logistica e Operations”, FacoltĂ  di Economia, Corso di laurea Triennale in Economia e Gestione Aziendale, dall’a.a.2023-2024 ad oggi.
  • 👩‍🏫 Professore a contratto per il corso “Business Lab: Fashion and Luxury”, MsC in Management, UniversitĂ  Cattolica del Sacro Cuore, Milano, da 01/01/2023 a oggi.
  • 👩‍🏫 Tutor per il Master Emlux in Luxury Goods Management, UniversitĂ  Cattolica del Sacro Cuore, Milano, Italia, da 2017 ad oggi.

🏆 Premi e Riconoscimenti:

  • 🥇 Miglior Paper Award First Place per la presentazione all’International Conference on Digital Transformation.

🔍 Attività di Reviewer:

  • đź‘Ą Revisore per conferenze internazionali e riviste accademiche.

👩‍🏫 Affiliazione a Società Scientifiche:

  • 🤝 Membro di diverse societĂ  scientifiche italiane e britanniche.

đź“š AttivitĂ  Didattica:

  • 👩‍🏫 Esperienza come docente a contratto presso l’UniversitĂ  Cattolica del Sacro Cuore su vari corsi legati al management, al lusso e al marketing digitale.

👩‍💼 Precedenti Esperienze Lavorative e di Ricerca:

  • đź“Š Esperienze lavorative e di ricerca pregresse in ambito analitico, digitale e di consulenza.

đź“š Formazione Complementare:

  • đź“š Partecipazione a corsi e master su tematiche quali il machine learning, i metodi di ricerca qualitativa e progettazione della ricerca.

âś… Autorizzazione al trattamento dei dati personali in conformitĂ  alla normativa vigente.

Questo riassunto strutturato e arricchito con emoji evidenzia il percorso accademico, le pubblicazioni, i premi e altre attivitĂ  professionali di Alice Guzzetti.

📖 Publications  Top Note :

Gaming and luxury brands: love and hatepaper publication in   6 July 2023 cite by 0

Dr Fedaa Abd Alhamid | anova

Dr. Fedaa Abd Alhamid |Leading Researcher in anova

Congratulations,Dr Fedaa Abd Alhamid  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 Fedaa Abd Alhamid  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:

 

FEDAA TAWFIQ ABD-ALHAMID

Department of Architecture/Faculty of Architecture & Design
Al-Zaytoonah University of Jordan, Amman, Jordan
Phone: 0796879306
Email: Fedaa.abdalhameed@yahoo.com

Personal Data

Date of Birth: April 28, 1988

Nationality: Jordanian

Education

PhD in Architecture/ Energy & Sustainability, 2020
University of Nottingham
Thesis Title: Development of a View Perception Quantifying Method for a Holistic Window Performance Assessment Using a Virtual Environment

Employment

Academic Positions

Assistant Professor
Al-Zaytoonah University of Jordan, Faculty of Architecture and Design, Department of Architectural Engineering, Jordan, Amman
(Since December 13, 2020 – Current)

Research Interests

Green and Sustainable Architecture

Buildings Occupants’ Health and Wellbeing

View Perception

Climate Change Adaptation/Mitigation Strategies and Planning

Energy Efficient Buildings

Architectural Design and Aesthetics

Membership in Scientific Societies and Associations

Reviewer in Energy and Building Journal since 2020

Member of Jordan Green Building Council since 2013

Honors and Awards

Internship in energy efficient buildings and building simulation, University of Innsbruck, Innsbruck, Austria, 2014

Teaching Experience

Undergraduate Courses

Architectural Design

Building Construction

Landscape Architecture

Freehand Drawing and Architecture Communication Skills

Architectural and Engineering Drawing

Architecture and Environmental Control

Geometry and Proportion in Architecture

Publications Top Note :

Developing an Innovative Method for Visual Perception Evaluation in a Physical-Based Virtual Environment  paper published in 2019 cite by 86

Evaluating the impact of viewing location on view perception using a virtual environment  paper published in 2020 cite by 49

Intelligent windows for electricity generation: A technologies review   paper published in 2020 cite by 21

Virtual reality as a tool for evaluating user acceptance of view clarity through ETFE double-skin façades  paper published in 2021 cite by 15

Quantifying window view quality: A review on view perception assessment and representation methodspaper published in 2023 cite by 5

Impact of Passive Techniques on Thermal Behavior of Emergency Shelters paper published in 2021 cite by 5

Preliminary investigation on the human response to patterned chromatic glazing  paper published in 2023 cite by 1

Assessment of Window Size and Layout Impact on a View Quality Perception in a Virtual Reality Environment   paper published in 2023

📊 Citation Metrics (Google Scholar):

Citations by: All – 182, Since 2018 – 182

h-index: All – 5, Since 2018 – 5

i10 index: All – 4, Since 2018 – 4

Introduction to statistical methods and data analysis

Introduction to statistical methods and data analysis

The International Conference on Statistical Methods for Analyzing Engineering Data stands as a prominent nexus for the convergence of statistical methodologies and data analysis techniques within the realm of engineering. This esteemed conference brings together experts, researchers, and practitioners to explore innovative statistical approaches that drive advancements in engineering systems and data analysis. At the heart of this gathering is a shared commitment to harnessing the power of statistics to optimize, refine, and revolutionize engineering practices.

Multivariate Statistical Analysis in Engineering

Dive into the world of multivariate statistical methods to uncover hidden patterns, relationships, and correlations within complex engineering data sets, allowing for informed decision-making and process optimization.

Quality Control and Process Monitoring

Examine statistical techniques for monitoring and improving the quality of manufacturing processes, ensuring consistency, minimizing defects, and enhancing overall product performance.

Statistical Reliability and Risk Assessment

Explore the application of statistical tools to assess the reliability and risk associated with engineering systems, guiding maintenance strategies and mitigating potential failures.

Design and Analysis of Experiments (DoE)

Delve into the principles of experimental design and statistical analysis to optimize product designs, enhance manufacturing processes, and identify factors influencing engineering outcomes.

Big Data Analytics in Engineering

Investigate how statistical methods and data analysis can be tailored to analyze and extract valuable insights from large-scale engineering datasets, enabling data-driven decision-making and predictive modeling.