Prof. Hanaa Abu-Zinadah | Statistical Inference | Women Researcher Award | 2076

Prof. Hanaa Abu-Zinadah | Statistical Inference | Women Researcher Award

πŸ‘©β€βš•οΈProf. Hanaa Abu-Zinadah | Tufts University | United States

Prof. Hanaa Abu-Zinadaha 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

google scholar

orcid profile

Β πŸ“š Academic Journey:

Hana Hussien Mohssen Abuznadah embarked on a remarkable academic journey, earning her Bachelor’s degree in Mathematics from the General Directorate of Girls Colleges in Jeddah, Kingdom of Saudi Arabia, in 1997. With excellence and honor, she pursued her Master’s degree at the Girls College of Education-Scientific Section, specializing in Statistics, completing it in 2001.Her academic fervor continued as she delved into a Doctorate program at the same institution, earning her Ph.D. in Mathematical Statistics in 2006. Her thesis on “Statistical Inference about Rayleigh Density Function and its Parameter” and later research on the “Exponentiated Pareto Distribution” showcased her dedication to statistical studies.

πŸ‘©β€πŸ« Teaching Odyssey:

Hana’s teaching career commenced at Palms School in Jeddah, Saudi Arabia, where she served as a Teacher from 1997 to 1998. She then transitioned to the Girls College of Education, Scientific Section, Department of Mathematics, holding roles as Teacher Assistant, Lecturer, and eventually Assistant Professor from 1998 to 2007. Furthering her career, she became an Associate Professor at King Abdulaziz University and later joined the University of Jeddah, where she currently holds the position of Professor in the College of Sciences, Department of Mathematics and Statistics.

πŸ‘©β€πŸ”¬ Academic Leadership:

Throughout her tenure, Hana has been an integral part of various committees and played key roles in academic development. Notably, she served as the Head of the department in the Girls Branch, a member of the Committee of Graduate Studies and Scientific Research, and a coordinator for Statistics and Computer courses during her illustrious career.

🌐 Workshops and Conferences:

Hana actively participated in numerous academic events, including book fairs, scientific forums, and international conferences. Her engagement in conferences like the OSDI Conference in Jordan and the German Open Conference on Probability and Statistics reflects her commitment to staying abreast of global advancements in her field.

πŸ† Awards and Recognition:

Hana’s contributions to the field were recognized when her article, “Numerical Solution of Traveling Waves in Chemical Kinetics,” secured the first place for Highly Cited and Hot Papers among University of Jeddah publications in 2022. Additionally, her acknowledgment by Elsevier as a top OpenAccess contributor attests to her impact on open science.

πŸ” Research Interests

With a focus on Distribution Theory, Statistical Inferences, Order Statistics, and Record Values, Hana is dedicated to advancing statistical knowledge. Her expertise extends to programming languages like Fortran, C++, and statistical analysis using SPSS, showcasing her versatile skill set.

🌟 Conclusion:

Hana Hussien Mohssen Abuznadah stands as a beacon of academic excellence and leadership in the realm of statistics. Her multifaceted career, extensive teaching experience, and impactful research underscore her significant contributions to the field of mathematics and statistics. πŸŽ“πŸ“ŠπŸ†

πŸ“ŠΒ Citation Metrics (Google Scholar):

Citations by: All – 1030, Since 2018 – 875

h-index: All – 17, Since 2018 – 15

i10 index: All – 25, Since 2018 – 21

πŸ“– PublicationsΒ  Top Note :

Numerical solution of traveling waves in chemical kinetics: time-fractional fishers equationsΒ  Β paper publication in

Exponentiated Pareto distribution: different method of estimationsΒ  Β  paper publication inΒ  September 2009 cite by 77

Novel computational and accurate numerical solutions of the modified Benjamin–Bona–Mahony (BBM) equation arising in the optical illusions field Β paper publication in 2001 cite by 74

Analysis and challenges of robust E-exams performance under COVID-19Β  Β paper publication in Β 2001 cite by 63

A Study on Mixture of Exponentiated Pareto and Exponential Distributions, INSInet PublicationΒ  Β  paper publication in 2010 cite by 37

Mathematical simulation of casson MHD flow through a permeable moving wedge with nonlinear chemical reaction and nonlinear thermal radiation Β  Β paper publication in 2022 cite by 32

Moore–Gibson–Thompson thermoelasticity model with temperature-dependent properties for thermo-viscoelastic orthotropic solid cylinder of infinite length under a temperature pulse Β  Β paper publication in 2009 cite by 29

Some characterizations of the exponentiated Gompertz distribution Β  Β paper publication in 2014 cite by 29

Study on the applications of two analytical methods for the construction of traveling wave solutions of the modified equal width equation Β  Β  Β  paper publication in 2020 cite by 28

Characterizations of the exponentiated Pareto distribution based on record valuesΒ  Β  Β  paper publication in 2008 cite by 27

 

 

Prof. Richard Vogel | Descriptive Statistics | Best Researcher Award

Prof. Richard Vogel | Descriptive Statistics | Best Researcher Award

πŸ‘©β€βš•οΈProf. Richard VogelΒ  | Tufts University ,United States

Prof. Richard Vogel 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

Scopus profile

google scholar

orcid profile

πŸ“… Personal Data

Born on August 16, 1953, in New York City, Dr. Richard M. Vogel has brought his passion and dedication to the field of water resource systems. Alongside his professional accomplishments, he finds joy and fulfillment in his role as a husband and father of three children.

πŸŽ“ Education:

Ph.D. in Water Resource Systems (1985): A significant milestone in his academic journey, Dr. Vogel earned his Ph.D. from Cornell University. This advanced degree marked the beginning of his impactful contributions to the field.M.S. in Environmental Science and Hydrology (1979): Prior to his doctoral studies, Dr. Vogel pursued a Master of Science degree at the University of Virginia. This foundational step provided him with insights into environmental science and hydrology, shaping his future endeavors.B.S. in Engineering Science and Systems (1977): The journey commenced with a Bachelor of Science degree from the University of Virginia, where Dr. Vogel laid the groundwork for his engineering expertise and systems thinking.Dr. Richard M. Vogel’s academic pursuits have been integral to his journey, contributing to the vast reservoir of knowledge in water resource systems. πŸŽ“πŸ’§πŸŒ

πŸ‘¨β€πŸŽ“ Professional JourneyΒ 

Dr. Richard M. Vogel’s illustrious career unfolds as a tapestry woven with academic excellence, prolific research contributions, and extensive involvement in professional organizations. Here’s a snapshot:

πŸ† Awards and Recognitions:

1993: Editors’ Citation for Excellence in Refereeing 1989 (May): Outstanding Research Oriented Paper by ASCE Journal of Water Resources Planning and Management 1987: John R. Freeman Fellowship in Hydrology and Hydraulics

πŸ‘¨β€πŸ’Ό Professional Employment:

2016 – Present: Professor Emeritus and Research Professor, Department of Civil and Environmental Engineering, Tufts University 1998-2016: Professor of Civil and Environmental Engineering, Tufts University 2016-2017: Research Scientist Appointment – U.S. Army Corps of Engineers Research Participation Program 2009 – 2012: Director, Tufts Graduate Education and Research Program in Water: Systems, Science, and Society 2005 – 2018: Research Hydrologist, U.S. Geological Survey

🌐 Professional Organization Activities:

American Society of Civil Engineers (ASCE): ASCE Distinguished Member, Elected 2020 Member since 1979, Faculty Advisor, and various leadership roles

πŸ“š Academic Contributions:

Numerous Theses Directed: From Hydroclimatology to Water Resource PlanningEditorial Roles: Journal of Water Resources Planning and Management, Hydrological Sciences Journal, and moreFellowships and Awards: Recognized for exceptional contributionsDr. Richard M. Vogel’s journey reflects a commitment to advancing hydrological sciences, shaping future professionals, and contributing significantly to the understanding of water systems. πŸŒŠπŸ“ˆπŸ’§

πŸ“ŠΒ Citation Metrics (Google Scholar):

Citations by: All – 20723, Since 2018 – 6800

h-index: All – 73, Since 2018 – 43

i10 index: All – 156, Since 2018 – 121

πŸ“– PublicationsΒ  Top Note :

Frequency analysis of extreme eventsΒ  Β  Β paper publication in

Trends in floods and low flows in the United States: impact of spatial correlationΒ  Β  Β  paper publication inΒ  September 2000 cite by 1417

Flow-duration curves. I: New interpretation and confidence intervalsΒ  Β  Β paper publication in 1994cite by 704

Climate elasticity of streamflow in the United States Β  paper publication in Β 2001 cite by 683

LΒ moment diagrams should replace product moment diagramsΒ  Β  Β  paper publication in 1993 cite by 590

Probability distributions for offshore wind speeds Β Β  Β  paper publication in 2017 cite by 537
Flow Duration Curves II: A Review of Applications in Water Resource PlanningΒ  Β  Β  Β  paper publication in 1995 cite by 461
1992 cite by 414

Dr. Yi Sun l Quantitative risk assessment | Best Researcher Award

Dr. Yi Sun | Quantitative risk assessment | Best Researcher Award

πŸ‘©β€βš•οΈ Dr. Yi Sun Institute for Occupational Safety and Health of the German Social Accident Insurance University, Germany

Dr. Yi Sun 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

Orcid profile

Scopus profile

πŸ”¬ Professional Profile

Occupational epidemiology expert with a focus on epidemiological methods, exposure assessment, and quantitative risk evaluation. Dr. Sun serves as a senior epidemiologist and consultant at the German Social Accident Insurance (DGUV), specializing in:

Regulatory risk assessment for work-related hazards Defining and recognizing occupational diseases based on evidence Evaluating research applications and final reports from various projects Peer-reviewing for esteemed international journals like OEM, European Journal of Epidemiology, International Archives of Occupational and Environmental Health, among others.

πŸ” Research Projects

Dr. Sun has contributed to various epidemiological projects covering osteoarthritis, macular degeneration, breast cancer etiology, lung cancer screening among radon-exposed workers, respiratory health effects, and more. These studies span diverse worker groups, including those in the rubber industry, coal tar refineries, and workers exposed to silica dust and diesel exhaust.

πŸ‘¨β€πŸ’Ό Employment History

Present: Applied Epidemiology at Institute of Occupational Safety and Health (BGIA), German Social Accident Insurance

University of MΓΌnster, Institute of Epidemiology and Social Medicine

University of Ulm, Department of Epidemiology

Beijing Quarantine Service, China

πŸ“š Education

University of Essen: Doctor of Medicine (MD)

Beijing University, Medical Division: Bachelor of Preventive Medicine (Public Health)

πŸ—£οΈ Languages

Chinese: Native proficiency

German: Fluent (written and spoken)

English: Fluent (written and spoken)

πŸ“– PublicationsΒ  Top Note :

Development and Validation of a Practical Instrument for Injury Prevention: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT)Β Β  paper publication in June 2018

Exposure–response relationship and doubling risk dosesβ€”a systematic review of occupational workload and osteoarthritis of the hip Β  Β  paper publication in 30 September 2019 cite by 4

 

 

 

 

Dr. Jashim Khan l Consumer Behaviour | Best Researcher Award

Dr. Jashim Khan | Consumer Behaviour | Best Researcher Award

Associate Professor at University of Surrey, china

Jashim Khan 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

Scopus profile

Orcid profile

Google scholar

Researchgate

Academic Achievements

Doctor of Philosophy: Auckland University of Technology, New Zealand (2012) – PhD thesis titled β€œCash or Card: Consumer Perceptions of Payment Modes.”

Master of Management (Distinction): Massey University, New Zealand (2005)

Postgraduate Diploma in Business Administration: Massey University (2004)

Graduate Diploma in Tertiary Teaching: AUT University, New Zealand (2012)

P.G. Certificate in Management Education: University of Surrey, UK (2022) – Awarded 80% average/Distinction

Bachelor of Business Administration: Newport University, USA (2000)

Advanced Diploma in Business Administration: The City College London, UK (1999)

Employment History

Dr. Jashim Khan has held various esteemed academic positions:

Associate Professor of Marketing: University of Surrey, UK (August 2022 – Present)

Director, International Business Management: Surrey International Institute, University of Surrey, UK (February 2020 – Present)

Senior Lecturer: University of Surrey, UK (February 2016 – July 2022)

Lecturer: University of Surrey, UK (August 2015 – February 2016)

Academic Management Highlights

Instrumental in planning the 1+3 International Business Management, Accounting & Finance, International Tourism Management program at Surrey International Institute. Led curriculum development catering to the needs of Chinese students, focusing on employability, resilience, digital capabilities, and sustainability. Convenor of Leadership Entrepreneurship Ability Development (LEAD) SII student-led industry collaboration institute-wide, partnering with major companies. Provided exceptional leadership during the Covid-19 pandemic, overseeing the transformation to online teaching at Surrey International Institute. Implemented an electronic attendance system in the VLE platform for all students in the institute, collaborating with the Director of L&T in Guildford.

Professional Experience & Consulting

Dr. Khan’s professional experience includesΒ  Conducting workshops and seminars on topics such as collaborative consumption, mixed methods research, and the sharing economy. Organizing and chairing international conferences and scholarly visits. Collaborations with various industries and organizations, including Accenture, Cisco, Wipro, Baidu.com, IBM, and more, fostering research and student development. Collaboration with Plunket Organization in New Zealand and joint efforts in industry cooperation for sustainable cities.

Teaching Excellence & Module Evaluation

Received exceptional Module Evaluation Questionnaire (MEQ) scores, achieving the highest in several modules taught at the University of Surrey. Dr. Jashim Khan’s career spans extensive academic achievements, management excellence, and a robust contribution to curriculum development and industry collaboration, enhancing both student experiences and academic research.

πŸ“ŠΒ Citation Metrics (Google Scholar):

  • Citations by: All – 444, Since 2018 – 361
  • h-index: All – 11, Since 2018 – 11
  • i10 index: All – 15, Since 2018 – 15

 

πŸ“– PublicationsΒ  Top Note :

Measuring consumer perceptions of payment modeΒ  paper publication in 2017 cite by 57

Validation in marketing experiments revisited Β  paper publication in 2011 cite by 56

”Cashless”transactions: perceptions of money in mobile paymentsΒ  Β  paper publication in 2009 cite by 56

Winery website loyalty: The role of sales promotion and service attributesΒ  Β  Β  Β  paper publication in 20118 cite by 31

Factors explaining shared clothes consumption in China: Individual benefit or planet concern?Β  Β  Β  paper publication in 2019 cite by 28

Handbook of research on social marketing and its influence on animal origin food product consumptionΒ  Β  Β paper publication in 2018 cite by 22

Handbook of research on higher education in the MENA region: Policy and practice: policy and PracticeΒ  Β paper publication in 2014 cite by 21

Dr Fedaa Abd Alhamid | anova

Dr. Fedaa Abd Alhamid |Leading Researcher in anova

Congratulations,Dr Fedaa Abd Alhamid Β on winning the esteemed Best Researcher AwardΒ  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 Β 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 Β paper published in 2019 cite by 86

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

Intelligent windows for electricity generation: A technologies reviewΒ  Β 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 Β paper published in 2023 cite by 1

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

πŸ“ŠΒ 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

Statistical Process Control (SPC)

Statistical Process Control

Statistical Process Control (SPC) is a quality control and improvement methodology that uses statistical methods to monitor, control, and improve processes in various industries. SPC is particularly valuable in manufacturing and production settings but can be applied to virtually any process where data can be collected. Here are some key aspects and concepts related to SPC:

Process Variation

SPC is primarily concerned with understanding and managing two types of process variation: common cause variation (inherent to the process) and special cause variation (due to external factors or anomalies).

Control Charts

Control charts, also known as Shewhart charts or process-behavior charts, are a fundamental tool in SPC. They display process data over time, with upper and lower control limits to identify when a process is in or out of control.

Data Collection

SPC relies on the regular collection of data points or samples from a process. This data is then analyzed to assess process stability and identify any trends or deviations from expected performance.

Central Tendency and Variation

SPC often uses statistical measures of central tendency (e.g., mean or median) and measures of variation (e.g., range or standard deviation) to characterize a process and monitor its performance.

Process Capability Analysis

This involves assessing a process’s ability to produce products or services that meet customer specifications. Process capability indices like Cp, Cpk, Pp, and Ppk are used for this purpose.