Dr. Abdullah Uz Tansel l Modeling Temporal | Best Scholar Award

Dr. Abdullah Uz Tansel | Modeling Temporal | Best Scholar Award

👩‍⚕️ Dr. Abdullah Uz Tansel Baruch College, CUNY University, United States

Dr. Abdullah Uz Tansel 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

🎓 Education

Ph.D., Computer Engineering, Middle East Technical University, 1981. M.B.A., Quantitative Business Analysis, University of Southern California, 1975. M.S., Computer Engineering, Middle East Technical University, 1974. B.S., Management, Middle East Technical University, 1972.

🧑‍⚕️ Professional Profile

Expert in occupational epidemiology, focusing on epidemiological methods, exposure assessment, and quantitative risk assessment. Senior epidemiologist and consultant at the German Social Accident Insurance (DGUV). Specialized in regulatory risk assessment of work-related hazards, definition of occupational diseases, and research project evaluation. Peer-reviewer for various international journals.

🔬 Epidemiological Research Projects

Clinical epidemiology of osteoarthritis of the hip and knee. Prognostic factor of age-related macular degeneration. Meaning of EGFR-genotype in the etiology of breast cancer. Historical cohort study on cancer risk among workers in the German rubber industry. Evaluation of lung cancer screening effectiveness among radon-exposed workers. Regulatory risk assessment of work-related silica dust exposure. Effectiveness of safety training in reducing occupational injuries in the German glass industry. Epidemiological case-control study on the risk of work-related hand-arm-vibration.

👨‍🎓 Employment History

2002 – Present: Section of “Applied Epidemiology” at the Institute of Occupational Safety and Health (BGIA) of the German Social Accident Insurance. 1997 – 2002: University of Münster, Institute of Epidemiology and Social Medicine. 1995 – 1997: University of Ulm, Department of Epidemiology. 1988 – 1990: Beijing Quarantine Service, China.

🌐 Languages

Chinese (Mother tongue) German (Fluent – written and spoken) English (Fluent – written and spoken)

👨‍🏫 Academic and Other Positions

Current Position: Professor Current Academic Rank: Professor Employment Status: Full Time

📚 Research and Creative Activities

Book: “Data Management for Social Networks and Social Media” (Editor, 2018). Book Chapter: “A Survey Of Temporal Extensions To RDF” (2019). Journal Article: “The Future of Value from Bitcoin to Central Bank Digital Currencies” (2019). Conference Proceedings: “Bitemporal Nested Relational Algebra” (2006).

💡 Other Scholarly Work

“Temporal Dependencies” (2017). “Integrity Constraints in Temporal Relational Databases” (2004). “Non-First Normal Form Temporal Relational Data Model” (1988).

📅 Grants

“Incremental Mining of Association Rules in Rapidly Changing Data” (PSC-CUNY 48, 2017-2018). “Incremental Mining of Association Rules in Changing Data” (PSC-CUNY 46, 2015-2016). “Temporal Data Modeling in Relational Databases” (PSC-CUNY 45, 2014-2015). “Temporal data modeling” (PSC-CUNY 43, 2012-2013).

🔗 Research Currently In Progress

“Medical Informatics” (2022).

“Valid Time RDF” (2022).

“Temporal Databases” (2022).

Patent and Intellectual Property

“Efficient Management of Temporal Knowledge” (2018).

👥 Professional Development

Tutorial presentations on “Blockchain as a Database” in various international conferences.

👔 Additional Activities

Consultancy in software development for the New York Software Industry Association (2001). Database training in the UNDP TOKTEN program (1988).

👨‍💼 Consultancy

UNDP TOKTEN program, Dokuz Eylul University & Ege University, Izmir, Turkey (2003). Software Development Consultant, New York Software Industry Association (2001).

This consolidated CV provides an overview of Dr. Yi Sun’s extensive expertise, academic contributions, and professional experience in the fields of epidemiology and computer engineering.

 

📊 Citation Metrics (Google Scholar):

Citations by: All – 3980, Since 2018 – 306

h-index: All – 21, Since 2018 – 8

i10 index: All – 32, Since 2018 – 7

📖 Publications  Top Note :

Temporal Databases: Theory, Design, and Implementation   paper publication in June 1993 cite by 1166

The consensus glossary of temporal database concepts—February 1998 version  paper publication in 1998 cite by 570

A consensus glossary of temporal database concepts   paper publication in January 1994 cite by 446

On an algebra for historical relational databases: Two views    paper publication in 1985 cite by 299

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 “Cash 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 includes  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.

📊 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

 

📖 Publications  Top Note :

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

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

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

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

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

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

Handbook of research on higher education in the MENA region: Policy and practice: policy and Practice   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  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

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 to engineering data.

Data Visualization Techniques

Effective visualization methods for engineering data, such as scatter plots, histograms, and box plots, to gain insights into data distributions and trends.

Summary Statistics for Engineering Parameters

Exploration of summary statistics like mean, median, variance, and skewness tailored to engineering variables, aiding in the characterization of data central tendencies and variability.

Time Series Analysis in Engineering

Application of descriptive statistical methods to analyze time-dependent engineering data, including autocorrelation, trend analysis, and seasonal decomposition.

Multivariate Data Analysis

Techniques for summarizing and visualizing multivariate engineering data, such as principal component analysis (PCA) and factor analysis, to identify latent patterns and relationships.

Reliability and Failure Analysis

Descriptive statistics specific to reliability engineering, including the calculation of failure rates, mean time to failure (MTTF), and Weibull analysis, to assess product and system performance.