Dr Tuğba Yıldız | Ranked Set Sampling

Dr Tuğba Yıldız |Leading Researcher in Ranked Set Sampling

Congratulations,Dr Tuğba Yıldız 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 Tuğba Yıldız 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:
📚 Education

Ph.D. in Electrical and Computer Engineering

Sungkyunkwan University, Suwon, Korea, 2002

Thesis: A Study on Moving Object Segmentation based on Motion Analysis

Advisor: Prof. Joongkyu Kim

 

💼 Employment Journey

Professor, School of Electronic Engineering

Xidian University, China, 2011 – Present

Director, Media Lab

Xidian University, China, 2015 – Present

Visiting Scholar (Young Scientist Exchange Program)

School of Electronic Engineering, Xidian University, China, 2009 – 2010

Assistant Research Professor

School of Information and Communication Engineering, Sungkyunkwan University, Korea, 2008 – 2010

Postdoctoral Fellow

School of Information and Communication Engineering, Sungkyunkwan University, Korea, 2007 – 2008

Senior Researcher, Multimedia Lab

Samsung Advanced Institute of Technology, Samsung Electronics, Korea, 2002 – 2007

🏆 Honors and Awards

1st Batch Huashan Distinguished Professor

Xidian University, China, 2020

1st Batch Xidian Young Fellow

Xidian University, China, 2014

1st Batch Thousand Young Talents Program

China, 2011

2nd Batch Hundred Talents Program of Shaanxi Province

China, 2010

Publications Top Note :

On characterization of distributions through the properties of conditional expectations of order statistics

paper published in 2007 cite by 29

5-6 yaş çocuklar için felsefi sorgulama yoluyla eleştirel düşünmenin değerlendirilmesi ölçeğinin geliştirilmesi

paper published in 2017 cite by 20

Development of Critical Thinking Scale through Philosophical Inquiry for Children 5-6 Years Old. paper published in 2017 cite by 17

Power comparison of the Kolmogorov–Smirnov test under ranked set sampling and simple random sampling  paper published in 2017 cite by 12

Performances of some goodness-of-fit tests for sampling designs in ranked set sampling  paper published in 2018 cite by 8

An application on fancy shirting fabric production through distribution-free quality control charts  paper published in 2015 cite by 6

Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling  

paper published in 2022 cite by 4

Empirical distribution function estimators based on sampling designs in a finite population using single auxiliary variable  paper published in 2019 cite by 4

Characterization of distributions by using the conditional expectations of generalized order statistics paper published in 2008 cite by 4

Performances of the Distribution Function Estimators Based on Ranked Set Sampling Using Body Fat Data  paper published in 2020 cite by 3

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 116, Since 2018 – 87
  • h-index: All – 6, Since 2018 – 5
  • i10 index: All – 4, Since 2018 – 3

Dr Cheolkon Jung | machine learning

Dr. Cheolkon Jung |Leading Researcher in machine learning

Congratulations,Dr Cheolkon Jung 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 Cheolkon Jung 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:
📚 Education

Ph.D. in Electrical and Computer Engineering

Sungkyunkwan University, Suwon, Korea, 2002

Thesis: A Study on Moving Object Segmentation based on Motion Analysis

Advisor: Prof. Joongkyu Kim

💼 Employment Journey

Professor, School of Electronic Engineering

Xidian University, China, 2011 – Present

Director, Media Lab

Xidian University, China, 2015 – Present

Visiting Scholar (Young Scientist Exchange Program)

School of Electronic Engineering, Xidian University, China, 2009 – 2010

Assistant Research Professor

School of Information and Communication Engineering, Sungkyunkwan University, Korea, 2008 – 2010

Postdoctoral Fellow

School of Information and Communication Engineering, Sungkyunkwan University, Korea, 2007 – 2008

Senior Researcher, Multimedia Lab

Samsung Advanced Institute of Technology, Samsung Electronics, Korea, 2002 – 2007

🏆 Honors and Awards

1st Batch Huashan Distinguished Professor

Xidian University, China, 2020

1st Batch Xidian Young Fellow

Xidian University, China, 2014

 

1st Batch Thousand Young Talents Program

China, 2011

2nd Batch Hundred Talents Program of Shaanxi Province

China, 2010

📖 Publications TOP NOTE

Dr Shou Feng | Image processing

Dr. Shou Feng |Leading Researcher in Image processing

Congratulations,Dr Shou Feng on winning the esteemed Young Scientist 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 Shou Feng 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:
👨‍🏫 Work Experience

Associate Professor

Harbin Engineering University, China (Oct. 2019 – Present)

College of Information and Communication Engineering

Postdoc

Harbin Engineering University, China (Sep. 2019 – Dec. 2021)

College of Information and Communication Engineering

📚 Education
  • Ph.D. in Information and Communication Engineering
    • Harbin Institute of Technology, China (Sep. 2012 – Jul. 2019)
📖 Publications TOP NOTE

Hyperspectral Image Classification with Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning paper published in 27 June 2023

A Coarse-to-Fine Semisupervised Learning Method Based on Superpixel Graph and Breaking-Tie Sampling for Hyperspectral Image Classification paper published in 20 July 2023

A Cross-Modality Feature Transfer Method for Target Detection in SAR Images paper published in  03 August 2023

TMTNet: A Transformer-Based Multimodality Information Transfer Network for Hyperspectral Object Tracking paper published in 17 February 2023

 

Dr Brightson Poul Sebastin | ECOLOGY and SUSTAINABLE ENVIRONMENT

Dr. Brightson Poul Sebastin |Leading Researcher in ECOLOGY and SUSTAINABLE ENVIRONMENT

Congratulations,Dr Brightson Poul Sebastin 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 Brightson Poul 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:

ORCID Profile

Experience:

Total Experience: 14 Years 11 Months

Details of Last/Present Employer:

Institution: PSN Engineering College – TVL, Tamilnadu.

Designation: Associate Professor

Patent Published:

Title: Implementation of Safety Management Techniques in Civil Engineering using Artificial intelligence and IoT

Registration Number: No.202341012570 A

Date of Published: 17/03/2023

Special Responsibilities:

ISTE – ACEW: Faculty Advisor

Other Roles and Responsibilities: [List of various roles and responsibilities undertaken, such as judging, resource person, chief guest, etc., at different events and institutions]

Extra-Skills:

Software Skills: DIP (Diploma in Programming) [Grade-E], ACAD (Auto Computer-Aided Designing) [86%], CPM (P3-Primavera Project Planning) [95%], CPPM (MS_Project) Computerized Project Planning & Management, Staad Pro V8i, VB 6.0, HTML, MS Office 2013

Hardware Skill: CHMS (Computer Hardware Maintenance & Servicing) [89%]

Online Webinars: Participated in 50+

Career Objectives: To contribute to the overall benefit and growth of the institution by facing challenges, showcasing caliber, and gaining experience.

Hobbies: Web Designing, Reading, Writing, Playing badminton, Volleyball, Listening to Melody Music

 

Publications Top Note :

Evaluation of solvent releases from microfluidic devices made of cycloolefin polymer by temperature-desorption mass spectrometry publications in  2023-04-25

Integrated-gut-liver-on-a-chip platform as an in vitro human model of non-alcoholic fatty liver disease publications in 2023-04-14

In vitro culture at 39 degrees C during hepatic maturation of human ES cells facilitates hepatocyte-like cell functions publications in  2023-04-14

Nanocasting of fibrous morphology on a substrate for long-term propagation of human induced pluripotent stem cells

publications in2023-04-14

Mr. Agathiyan A|Fractal Analysis

Mr. Agathiyan A |Leading Researcher in Fractal Analysis

Congratulations,Mr. Agathiyan A 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!

Mr. Agathiyan A 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:

ORCID Profile

google scholar

Research Gete

Education:

  • Ph.D. in Mathematics: Pursuing at Vellore Institute of Technology, Vellore.

Research Interests:

Fractal Analysis

Fractal Interpolation Functions

Iterated Function System

Fractional Calculus

Papers Presented in Conferences:

Presented multiple papers at international conferences focused on fractal analysis, including ISMAFDS-2023, MSOES 2023, ICMM-2023, and others.

Workshops Attended: Participated in workshops on Fractal Geometry, Research Skills in Mathematics, and Analysis & Geometry.

Achievements:

Best NSS Volunteer Award at Bishop Heber College, Trichy-17 in 2017.

Raman Research Awards at Vellore Institute of Technology in 2022 and 2023.

Project: Conducted research on the “SIR Epidemic Model with Various Incidence Rates” from November 2019 to April 2020.

Personal Achievements:

Attended National Integration Camp at Gujarat in 2017.

Recognized for excellence in NSS volunteering.

Publications (Selected):

On the integral transform of fractal interpolation functions  paper published in 2022 cite by 17

Remarks on the integral transform of non-linear fractal interpolation functions paper published in August 2023 cite by 2

Weyl–Marchaud fractional derivative of a vector valued fractal interpolation function with function contractivity factors 

paper published in 2023 cite by 8

Explicit relation between Fourier transform and fractal dimension of fractal interpolation functions

paper published in 2023

Perspective of Fractal Calculus on Types of Fractal Interpolation Functions

paper published in 2023

📊 Citation Metrics (Google Scholar):

  • Citations by: All – 29, Since 2018 – 29
  • h-index: All – 2, Since 2018 – 2
  • i10 index: All – 1, Since 2018 – 1

Dr Abdulwahhab Alshammari|Teledentistry

Dr. Abdulwahhab Alshammari |Leading Researcher in Teledentistry

Congratulations,Dr Abdulwahhab Alshammari 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 Abdulwahhab Alshammari 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:
📚 Education

Ph.D. of Biomedical and Health Informatics – School of Medicine, University of Washington, Seattle, WA, USA (2019)

👨‍💼 Work Experience

Assistant Professor of Health Informatics
Health Informatics Department, College of Public Health and Health Informatics, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh City, KSA
Date: Aug 2019 – Present

Lecturer
College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh City, KSA
Date: Sep 2014–Aug 2019

👨‍🏫 Teaching

Master Level Courses

“HINF-512: Application of Health Care Information Systems” (2020-2023)

“HINF-511: Healthcare Data” (2020)

“HINF-506: Fundamental of Health Information Management” (2020)

“HINF-302: Principles of Health Information Management” (2021-2022)

“HINF-311: Alternative Health Records” (2020-2023)

“COMP-201: Computer Sciences and Medical Informatics” (2010-2012)

🔍 Research Interest Areas

Clinical Informatics

Consumer Health Informatics

User-centered Design and Evaluation

Automated Reporting Tools

 

📚 Journals Review Board Member

The American Medical Informatics Association (AMIA) Annual Symposium Scientific Program Committee, Bethesda, Maryland, USA

Applied Clinical Informatics (ACI) Journal under The American Medical Informatics Association (AMIA), New York, USA

Health Innovation Hackathon Scientific Committee and a judge, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

📖 Publications TOP NOTE

Developing a Predictive Model of Predicting Appointment No-Show by Using Machine Learning Algorithms paper published in 2021 cited by 10

Improving accuracy for diabetes mellitus prediction by using deepnet paper published in  2020 cited by 10

Middle East and North African Health Informatics Association (MENAHIA): A New Opportunity for the Region paper published in  2019 cited by 4

Designing community of practice systems: A value sensitive approach paper published in  2017 cited by 4

Middle East and North African Health Informatics Association (MENAHIA): Strengthening Health Informatics Ecosystems in the Region and Beyond paper published in 2020 cited by 3

Middle East and North African Health Informatics Association (MENAHIA): Strengthening Health Informatics Ecosystems in the Region and Beyond paper published in  2020 cited by 2

Middle East and North African Health Informatics Association (MENAHIA): Inclusive Digital Health in MENA Region paper published in  2022 cited by 2

The Prediction of Outpatient No-Show Visits by using Deep Neural Network from Large Data paper published in 2020

Identification of Stroke Using Deepnet Machine Learning Algorithm paper published in  2023 

The Prediction of Pediatric Outpatient No-Show Visits by Employing Machine Learning Framework paper published in  2022 

📊 Citation Metrics (Google Scholar):

Cited by: All – 35, Since 2018 – 35

Citations: All – 35, Since 2018 – 35

h-index: All – 4, Since 2018 – 4

i10index: All-2, since 2018- 2

Prof Tianyou Tao| Simulation of Stochastic Processes

Prof. Tianyou Tao:Leading Researcher in Simulation of Stochastic Processes

 

Congratulations,Prof. Tianyou Tao 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!

Prof Tianyou Tao 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:
Academic Positions:

📚 Associate Professor (2021 – Present) – School of Civil Engineering, Southeast University📖 Assistant Professor (2018 – 2021) – School of Civil Engineering, Southeast University

🎓 Education:

🏗️ Ph.D. Civil Engineering (2015 – 2018) – School of Civil Engineering, Southeast University (Dissertation: “Nonstationary Wind Effects of Long-span Cable-supported Bridges Under Typhoon Actions,” Supervisors: Prof. Hao Wang & Ahsan Kareem)

📚 Teaching Experience:

🌉 Bridge Engineering (Spring Semester),💻 C Programming Language (Fall Semester),💻 Programming Language and Scientific Computation (Spring Semester), Structural Finite Element Analysis (Spring Semester),🌍 Introduction to Civil and Transportation Engineering (Fall Semester)

🖋️ Editorial Roles:

👥 Associate Editor – Frontiers in Built Environment,📑 Academic Editor – Shock and Vibration, Mathematical Problems in Engineering,📰 Guest Editor – Applied Sciences – Basel, Academic Editor – Journal of Vibration Engineering📊 Editorial Board Member – International Journal on Data Science and Technology, Journal of Civil, Construction, and Environmental Engineering, Journal of Central South University, Sustainable Structures

🏆 Awards & Honors:
  • 🥇 First Prizes for Progress in Science and Technology (Various Institutions)
  • 🌟 Outstanding Young Engineer of Jiangsu Province
  • 📄 Excellent Paper Awards (Chinese Association for Wind Engineering, Jiangsu Science and Technology Journal Association, Association for Wind Engineering in Jiangsu Province)
  • 🎓 National Scholarships (Ministry of Education)
🔬 Research Interests:

Bridge Aerodynamics, Structural Health Monitoring, Nonstationary and Nonlinear Aerodynamics on Structures, Intelligent Monitoring and Prediction of Wind Effects on Long-span Bridges, Efficient Simulation of Stochastic Processes

PUBLICATIONS Top Note :

Prof .Jungmin Seo | Organizational Behavior

Prof .Jungmin Seo:Leading Researcher in Organizational Behavior

Assistant Professor at California State University, Fullerton, United States

Congratulations, prof. Jungmin Seo, 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!

prof. Jungmin Seo 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:

🎓 Education

  • W.P. Carey School of Business, Arizona State University
    • Doctor of Philosophy in Management, Organizational Behavior
  • University of Illinois at Urbana-Champaign
    • Master of Education in Human Resources Development
  • Sookmyung Women’s University (Seoul, Korea)
    • Bachelor of Business Administration
    • Bachelor of Arts in Chinese Language and Literature

👨‍🏫 Professional Experience

  • California State University, Fullerton, College of Business and Economics
    • Assistant Professor (2016 – Present)
  • Arizona State University, W.P. Carey School of Business
    • Graduate Associate (2011 – 2016)
  • SAMSUNG Corporation, Suwon Korea
    • Associate, SAMSUNG Mobile Display Co. (2008 – 2009)
    • Associate, SAMSUNG SDI Co. (2006 – 2008)
  • Korean Women Entrepreneurs Association, Seoul Korea
    • Internship: Leading a leadership training program (2005)

📝 Manuscripts in Progress
Current ongoing research projects and their statuses.

🗣️ Conference Presentations
Presentations made at various conferences.

📖 Teaching Experience
Summary of teaching positions and courses taught.

🤝 Professional Activities and Affiliations
Details about participation in professional organizations and reviewer roles.

🔍 Research Interests
Areas of interest in the field of organizational behavior.

🏆 Scholarships, Grants, Awards
Recognition and awards received for research, teaching, and contributions.

📚 Publications
List of published works and articles in various journals.

  • Does vicarious entrepreneurial failure induce or discourage one’s entrepreneurial intent? A mediated model of entrepreneurial self-efficacy and identity aspiration
  • The ways to avoid abusive supervision: the moderating effects of the characteristics of supervisors and subordinates on abusive supervision
  • Not all differentiation is the same: Examining the moderating effects of leader-member exchange (LMX) configurations.
  • When Can Humble Top Executives Retain Middle Managers? The Moderating Role of Top Management Team Faultlines
  • How and Why High Leader–Member Exchange (LMX) Relationships Develop
  • Managing Employees’ Motivation, Cognition, and Performance in Virtual Workplaces: The Blueprint of a Game-based Adaptive Performance Platform (GAPP)

Collaborative Excellence Award

Introduction of Collaborative Excellence Award

The Collaborative Excellence Award celebrates outstanding collaboration and partnership achievements in advancing Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to individuals or groups showcasing exemplary collaborative efforts in leveraging statistical methodologies.
  • Publications: Emphasis on collaborative projects, joint initiatives, or impactful teamwork in this specialized field.
  • Requirements: Applicants must demonstrate the success and impact of collaborative endeavors using statistical methods.
Evaluation Criteria:

Entries will be assessed based on:

  • Demonstrated excellence in collaborative efforts using statistical methodologies.
  • Significance of collaborative projects in advancing engineering data analysis practices.
  • Impact and outcomes resulting from successful collaboration.
Submission Guidelines:
  • Comprehensive documentation highlighting collaborative projects and their impact.
  • Descriptions of collaborative initiatives showcasing the utilization of statistical methods.
  • Supporting evidence or case studies demonstrating the success of collaborative methodologies.
Recognition:

The recipient will be honored with the Collaborative Excellence Award, acknowledging their outstanding collaborative achievements and contributions to advancing statistical methodologies in engineering data analysis.

Community Impact:

Winners will have the opportunity to inspire collaboration, fostering a culture of teamwork and innovation within the statistical and engineering communities.

Technical Innovation Award

Introduction of Technical Innovation Award

The Technical Innovation Award commends individuals exhibiting pioneering advancements and creative solutions in the application of Statistical Methods for Analyzing Engineering Data.

Eligibility:
  • Age Limit: None
  • Qualifications: Open to innovators showcasing significant technical advancements using statistical methodologies.
  • Publications: Emphasis on technical innovations, breakthroughs, or impactful technical contributions in this specialized field.
  • Requirements: Applicants must demonstrate their technical innovation in applying statistical methods.
Evaluation Criteria:

Entries will be evaluated based on:

  • Uniqueness and creativity demonstrated in the application of statistical methods.
  • Significance of technical advancements in improving engineering data analysis practices.
  • Practical implications and successful implementations of the technical innovation.
Submission Guidelines:
  • Detailed documentation highlighting technical innovations and breakthroughs achieved.
  • Descriptions of technical advancements showcasing the impact of statistical methods.
  • Supporting evidence or case studies demonstrating the success of technical methodologies.
Recognition:

The recipient will be honored with the Technical Innovation Award, acknowledging their outstanding technical contributions and innovations in applying statistical methods to engineering data analysis.

Community Impact:

Winners will have the platform to share their technical insights, fostering knowledge exchange and inspiring further innovation within the statistical and engineering communities.