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

Analysis of variance (ANOVA)

 Analysis of variance (ANOVA) 

The International Conference on Statistical Methods for Analyzing Engineering Data is a premier gathering that brings together experts, researchers, and practitioners from the engineering and statistical communities. This conference serves as a focal point for the exchange of ideas and methodologies aimed at harnessing the power of statistics to drive innovation and decision-making in the field of engineering data analysis.

Advanced ANOVA Techniques

Delving into sophisticated approaches and extensions of Analysis of Variance (ANOVA) tailored to address complex engineering data sets, enabling more robust hypothesis testing and model refinement.

Multivariate Statistical Analysis

Exploring the application of multivariate techniques in engineering data analysis, including Multivariate Analysis of Variance (MANOVA), Principal Component Analysis (PCA), and Canonical Correlation Analysis (CCA), for a deeper understanding of interdependencies within systems.

Time Series Analysis for Engineering Systems

Investigating time-dependent data modeling and analysis techniques, critical for predicting and optimizing the performance of dynamic engineering systems.

Robust Experimental Design

Discussing the design of experiments that are resilient to variations and outliers commonly encountered in engineering settings, ensuring reliable conclusions and efficient resource utilization.

Statistical Process Control (SPC)

Highlighting the role of SPC methodologies in monitoring, maintaining, and improving the quality and performance of engineering processes, with a focus on real-time data analysis.

measures of central tendency and dispersion

measures of central tendency and dispersion

The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious annual gathering of experts, researchers, and practitioners in the field of engineering data analysis. This conference serves as a platform to exchange knowledge, share innovative methodologies, and address contemporary challenges in utilizing statistical techniques for enhancing engineering processes and decision-making.

Statistical Process Control (SPC) in Engineering

Explore the application of SPC techniques for monitoring and improving the quality and performance of engineering processes. Topics may include control charts, process capability analysis, and real-time monitoring.

Reliability Analysis and Survival Data

Discuss methodologies for analyzing reliability and survival data in engineering contexts, such as reliability modeling, accelerated life testing, and warranty analysis.

Design of Experiments (DOE) in Engineering

Focus on the design and analysis of experiments to optimize product and process performance. Topics may include factorial designs, response surface methodology, and robust parameter design.

Bayesian Methods in Engineering Data Analysis

Explore the use of Bayesian statistics to address uncertainties in engineering data, Bayesian networks, and Bayesian optimization for decision support.

Big Data Analytics for Engineering

Discuss the challenges and opportunities of handling large-scale engineering data using advanced statistical techniques, machine learning, and data mining for predictive maintenance, quality improvement, and process optimization.