Dr Haris Khurram | Computational Statistical Modeling

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Dr Haris Khurram | Leading Researcher in Computational Statistical Modeling

Congratulations,Dr Haris Khurram  on winning the esteemed Women 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 Haris Khurram 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:

Academics:

PhD in Statistics, Bahauddin Zakariya University, Multan, 2016-2021, Thesis: Bayesian Non-Parametric Modelling.

M.Phil. in Statistics, Bahauddin Zakariya University, Multan, 2014-2016, Thesis: Identifying Continuous Probability Distributions.

Work:

Assistant Professor (Statistics), National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Pakistan (2021-present).

Lecturer (Statistics) at various institutions.

Taught in diverse departments: Information Technology, Commerce, Agriculture Technology, Soil Science, Forestry.

Admin and committee roles at National University.

Membership in Pakistan Institute of Statistical Training and Research.

International Engagements:

Presented papers at global conferences on Statistical Sciences, Neonatology, Disaster Risk Reduction, and more.

Editorial roles in various academic journals.

Reviewed papers for esteemed journals in statistics, public health, and medical sciences.

Awarded for Best Paper and Achievement in Disaster Risk Reduction.

Community Engagement:

Conducted workshops on Faculty Development, Outcome-Based Education, and Pedagogical Techniques.

Contributed to disaster risk reduction expos, survey statistic conferences, and workshops on curriculum design.

Computer Skills:

Proficient in MS-Office Suite, LaTeX, and various statistical software: R, SPSS, Minitab, E-Views, Stata, Mathematica, etc.

Interests:

Expertise and interest in computational statistical methods, survey sampling, Bayesian modeling, econometric analysis.

Application domains: Bio-Medical Science, Pharmaceutical Sciences, Genetics, Social Sciences.

Publications Top Note :

Predatory functional response and fitness parameters of Orius strigicollis Poppius when fed Bemisia tabaci and Trialeurodes vaporariorum as determined by age-stage, two-sex … paper published in 2015 cite by 20

Why Banks Need Adequate Capital Adequacy Ratio? A Study of Lending & Deposit Behaviors of Banking Sector of Pakistan  paper published in 2018 cite by 14

Stock Market Forecasting Using the Random Forest and Deep Neural Network Models Before and During the COVID-19 Period paper published in 2022 cite by 6

Nutritional status and growth centiles using anthropometric measures of school-aged children and adolescents from Multan district  paper published in 2022 cite by 5

Impact of Terrorism on Stock Market: A Case of South Asian Stock Markets  paper published in 20196 cite by 4

Assessing Patient Satisfaction with Community Pharmacy Services: A Large Regional Study at Punjab, Pakistan paper published in 2023 cite by 3

Knowledge, attitudes and practices of pharmacogenomics among senior pharmacy students: a cross sectional study from Punjab, Pakistan   paper published in 2022 cite by 3

Assessment of health-related quality of life in hypertensive hemodialysis patients  paper published in 2022 cite by 3

Disposal practices of expired and unused medications among households in Punjab, Pakistan   paper published in 2023 cite by 2

Antibiotic use: A cross-sectional survey assessing the knowledge, attitudes, and practices amongst students of Punjab, Pakistan paper published in 2022 cite by 2

 

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 61, Since 2018 – 61
  • h-index: All – 4, Since 2018 – 4
  • i10 index: All – 2, Since 2018 – 2

 

 

Dr Fedaa Abd Alhamid | anova

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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

Simple linear regression analysis

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Simple linear regression analysis

Welcome to the International Conference on Statistical Methods for Analyzing Engineering Data, a premier gathering of experts and researchers at the intersection of statistics and engineering. This conference serves as a platform for sharing cutting-edge techniques and insights that harness statistical methods to solve complex engineering challenges, foster innovation, and enhance decision-making in the field.

Regression Modeling for Quality Control

Explore how simple linear regression can be applied to analyze engineering data for quality control processes, ensuring product reliability and consistency.

Predictive Maintenance with Linear Regression

Delve into the use of linear regression to develop predictive maintenance models that optimize machinery performance and reduce downtime in engineering systems.

Environmental Impact Assessment

Investigate how linear regression analysis aids in assessing the environmental impact of engineering projects by modeling relationships between variables such as emissions, energy consumption, and ecological factors.

Reliability and Durability Analysis

Discuss how simple linear regression techniques can be employed to evaluate the reliability and durability of engineering components, leading to improved product designs and longer lifecycles.

Supply Chain Optimization

Explore the role of linear regression in optimizing supply chain operations, addressing challenges related to demand forecasting, inventory management, and production planning in the engineering industry.

Introduction to statistical methods and data analysis

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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.

Regression analysis

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Regression analysis

The International Conference on Statistical Methods for Analyzing Engineering Data is a distinguished gathering that brings together experts, researchers, and professionals from the realms of engineering and statistics.

Linear and Nonlinear Regression Models

Explore the application of both linear and nonlinear regression models in engineering data analysis, focusing on modeling relationships between variables and making accurate predictions.

Multivariate Regression Analysis

Investigate advanced techniques for analyzing multiple dependent variables simultaneously, allowing for a comprehensive understanding of complex engineering systems.

Time Series Regression Analysis

Discuss the use of regression models in analyzing time-dependent data, emphasizing their role in forecasting and understanding temporal patterns in engineering processes.

Robust Regression Methods

Examine robust regression techniques that can effectively handle outliers and influential data points in engineering datasets, ensuring the reliability of regression analysis.

Bayesian Regression in Engineering

Explore the integration of Bayesian statistical methods in regression analysis within engineering contexts, offering a framework for incorporating prior information and quantifying uncertainty.

Introduction to statistics and probability

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Introduction to statistics and probability

The International Research Awards on Statistical Methods for Analyzing Engineering Data (IRASMAED) is a prestigious recognition platform that celebrates and honors outstanding contributions in the realm of statistical methodologies applied to engineering data analysis. These awards recognize the innovators and researchers who have made significant strides in advancing the integration of statistics into engineering practices, fostering excellence in the field.

Advanced Data Mining and Machine Learning in Engineering

Recognizing research that utilizes cutting-edge data mining and machine learning techniques to extract valuable insights from vast engineering datasets.

Robust Statistical Modeling in Engineering

Celebrating innovative approaches in developing robust statistical models that can handle complex, noisy, and real-world engineering data.

Reliability and Failure Analysis

Honoring research in statistical methods for assessing reliability, conducting failure analysis, and enhancing the durability of engineering systems and components.

Statistical Quality Control and Process Optimization

Acknowledging contributions to statistical quality control methodologies and process optimization techniques to enhance product quality and performance.

Bayesian Approaches for Engineering Data Analysis

Recognizing outstanding work in applying Bayesian statistical methods to make informed decisions, quantify uncertainties, and model intricate engineering systems.

Autocorrelation, trend analysis, and forecasting
Autocorrelation, trend analysis, and forecasting This conference is dedicated to advancing the knowledge and application of statistical methodologies in the domain of engineering data analysis. It provides a platform for
Introduction to statistics and probability
Introduction to statistics and probability The International Research Awards on Statistical Methods for Analyzing Engineering Data (IRASMAED) is a prestigious recognition platform that celebrates and honors outstanding contributions in the
Descriptive statistics
Descriptive statistic The International Research Awards on Statistical Methods for Analyzing Engineering Data serve as a prestigious platform recognizing and promoting groundbreaking research in the field of statistical analysis applied
Probability distributions
Probability distributions This conference serves as a platform for the exchange of cutting-edge ideas and methodologies for analyzing and interpreting data in the realm of engineering, with a particular focus
Estimation and hypothesis testing
 Estimation and hypothesis testing The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from around the world, dedicated to advancing
Design of experiments (DOE)
Design of experiments (DOE) The International Conference on Statistical Methods for Analyzing Engineering Data is a premier gathering of researchers, engineers, and statisticians dedicated to advancing the application of statistical
Non-parametric statistical methods
Non-parametric statistical methods The International Conference on Statistical Methods for Analyzing Engineering Data (ICSMAED) is a prestigious event that brings together leading experts, researchers, and practitioners from the field of
Hypothesis testing
 Hypothesis testing The International Conference on Statistical Methods for Analyzing Engineering Data provides a crucial forum for engineers, statisticians, and researchers to converge and explore the intricate realm of hypothesis
Regression analysis
Regression analysis The International Conference on Statistical Methods for Analyzing Engineering Data is a distinguished gathering that brings together experts, researchers, and professionals from the realms of engineering and statistics.
Probability theory and distributions
Probability theory and distributions The International Conference on Statistical Methods for Analyzing Engineering Data is a prestigious gathering of experts, researchers, and practitioners from the engineering and statistical communities. This