Dr Xiuju Xu | Artificial Intelligence

Dr. Xiuju Xu | Leading Researcher in Artificial Intelligence

Congratulations,Dr Xiuju Xu  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 Xiuju Xu 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

Designation: Ph.D. Candidate

Department: School of Systems Science and Engineering, Sun Yat-sen University

Area of Specialization: Computer Science (Subdivision: Evolutionary Computing)

 & Academic Achievements (200 words): Dedicated Ph.D. candidate in Computer Science at Sun Yat-sen University, specializing in UAV path planning. Achieved a Master’s degree in Computer Science from Shenzhen University in 2018. Leader of the winning team in the CEC2019 Competition on Evolutionary Multi-task Optimization. Published notable papers in IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION and Information Sciences, showcasing expertise in evolutionary computing.

🏆 Research & Innovation (200 words): Active involvement in research, development, and innovation across engineering and technology domains. Contributes to projects, designs experiments, and interprets results, generating new methodologies and technologies with real-world applications. Contributed to patent filings and aided technological advancements. Instrumental in scientific progress and societal development through dedicated efforts.

 

🎓 Education & Academic Achievements (200 words): Dedicated Ph.D. candidate in Computer Science at Sun Yat-sen University, specializing in UAV path planning. Achieved a Master’s degree in Computer Science from Shenzhen University in 2018. Leader of the winning team in the CEC2019 Competition on Evolutionary Multi-task Optimization. Published notable papers in IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION and Information Sciences, showcasing expertise in evolutionary computing.

🏆 Research & Innovation (200 words): Active involvement in research, development, and innovation across engineering and technology domains. Contributes to projects, designs experiments, and interprets results, generating new methodologies and technologies with real-world applications. Contributed to patent filings and aided technological advancements. Instrumental in scientific progress and societal development through dedicated efforts.

 

Publications Top Note :

Evolutionary Many-Task Optimization Based on Multisource Knowledge Transfer paper published in2023-05-15 cite by 1

 

 

 

Dr Haris Khurram | Computational Statistical Modeling

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 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

Simple linear regression analysis

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.