Iliyas Karim Khan | Statistics | Best Researcher Award

Published on by Network Science

Mr. Iliyas Karim Khan | Statistics | Best Researcher Award

Teaching Assistance at Universiti Teknologi Petronas Malaysia, Malaysiađź“–

Iliyas Karim Khan is a dedicated researcher and educator with a strong background in statistics and data science. He is currently pursuing his Ph.D. at Universiti Teknologi PETRONAS, Malaysia, focusing on advanced statistical modeling and machine learning applications. With extensive teaching experience spanning over 8 years in various academic institutions, he has contributed significantly to the field through research and publications. His work primarily revolves around clustering algorithms, data analysis, and predictive modeling.

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Scopus Profile

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Education Background🎓

  • Ph.D. in Statistics (2024), Universiti Teknologi PETRONAS, Malaysia
  • M.Phil. in Statistics (2016), Peshawar University, KPK, Pakistan
  • M.Sc. in Statistics (2014), Peshawar University, KPK, Pakistan
  • B.Sc. in Statistics (2012), SBBU Sheringhal, Upper Dir, Pakistan
  • B.Ed. (2015), SBBU Sheringhal, Upper Dir, Pakistan
  • F.Sc. in Engineering (2010), BISE Peshawar, Pakistan
  • S.S.C. in Science (2008), BISE KPK, Peshawar, Pakistan

Professional Experience🌱

Iliyas has accumulated diverse teaching and research experience in both national and international institutions. He has served as a lecturer and subject specialist at GHSS Bang Chitral, Pakistan, and Abbottabad University of Science and Technology, contributing to curriculum development and student mentorship. Additionally, he has gained international teaching experience as a Teaching Assistant at Universiti Teknologi PETRONAS, Malaysia. His professional expertise extends to statistical analysis, machine learning, and forecasting, with hands-on experience in tools such as Python, SPSS, and Minitab

Research Interests🔬
  • Machine Learning
  • Statistical Modeling
  • Forecasting
  • Big Data Analysis
  • Cluster Optimization Algorithms

Author Metrics

Iliyas has published several high-impact journal articles in Q1 journals, including Egyptian Informatics Journal and AIMS Mathematics, with notable contributions to the advancement of clustering algorithms and data science techniques. His research work has garnered significant recognition within the academic community.

Awards and Honors
  • Publication Recognition Achievement 2024, Universiti Teknologi PETRONAS, Malaysia
  • Acknowledged for outstanding contributions to statistical analysis and machine learning applications
Publications Top Notes đź“„

1. Determining the Optimal Number of Clusters by Enhanced Gap Statistic in K-mean Algorithm

  • Authors: I.K. Khan, H.B. Daud, N.B. Zainuddin, R. Sokkalingam, M. Farooq, M.E. Baig, et al.
  • Journal: Egyptian Informatics Journal
  • Volume: 27, Article 100504
  • Year: 2024
  • Citations: 3
  • Abstract: This study introduces an enhanced gap statistic method to determine the optimal number of clusters in the K-means clustering algorithm. The approach addresses common challenges in cluster analysis, improving the reliability and efficiency of the algorithm.
  • Impact: Provides an effective method to enhance clustering performance in various data-driven applications.

2. Numerical Solution of Heat Equation using Modified Cubic B-spline Collocation Method

  • Authors: M. Iqbal, N. Zainuddin, H. Daud, R. Kanan, R. Jusoh, A. Ullah, I.K. Khan
  • Journal: Journal of Advanced Research in Numerical Heat Transfer
  • Volume: 20, Issue 1, Pages 23-35
  • Year: 2024
  • Citations: 2
  • Abstract: The paper presents a numerical solution to the heat equation using a modified cubic B-spline collocation method. The proposed method enhances accuracy and computational efficiency compared to conventional techniques.
  • Impact: Contributes to the advancement of numerical modeling in heat transfer applications.

3. Addressing Limitations of the K-means Clustering Algorithm: Outliers, Non-spherical Data, and Optimal Cluster Selection

  • Authors: Iliyas Karim Khan, Abdussamad, Abdul Museeb, Inayat Agha
  • Journal: AIMS Mathematics
  • Volume: 9, Pages 25070-25097
  • Year: 2024
  • Citations: 2
  • Abstract: This paper critically examines the limitations of the K-means clustering algorithm, proposing novel solutions to handle outliers, non-spherical data, and optimal cluster determination.
  • Impact: Enhances the applicability of clustering techniques in complex real-world datasets.

4. Numerical Solution by Kernelized Rank Order Distance (KROD) for Non-Spherical Data Conversion to Spherical Data

  • Authors: I.K. Khan, H.B. Daud, R. Sokkalingam, N.B. Zainuddin, A. Abdussamad, et al.
  • Journal: AIP Conference Proceedings
  • Volume: 3123, Issue 1
  • Year: 2024
  • Citations: 1
  • Abstract: The study introduces the Kernelized Rank Order Distance (KROD) method to convert non-spherical data to spherical data, improving the performance of traditional clustering algorithms.
  • Impact: Provides a novel solution for handling data distribution challenges in clustering applications.

5. A Mini Review of the State-of-the-Art Development in Oil Recovery Under the Influence of Geometries in Nanoflood

  • Authors: M. Zafar, H. Sakidin, A. Hussain, M. Sheremet, I. Dzulkarnain, R. Safdar, et al.
  • Journal: Journal of Advanced Research in Micro and Nano Engineering
  • Volume: 26, Issue 1, Pages 83-101
  • Year: 2024
  • Abstract: This review paper explores recent advancements in oil recovery techniques using nanotechnology, emphasizing the influence of geometries on the efficiency of nanoflooding processes.
  • Impact: Provides critical insights for improving oil recovery processes using nanomaterials.

Conclusion

Iliyas Karim Khan is a highly deserving candidate for the Best Researcher Award due to his impressive academic credentials, impactful research contributions, and dedication to the field of statistics and data science. His work on clustering algorithms and machine learning applications offers innovative solutions to critical challenges in data analysis.

To further strengthen his profile, he should focus on expanding his research network, leading high-value projects, and enhancing his presence in industry-oriented applications. With continued efforts, Iliyas is poised to make even greater contributions to the field and emerge as a thought leader in statistical modeling and data science.

Graph Analytics Achievement Award

Published on by Network Science

Introduction of Graph Analytics Achievement Award

Welcome to the Graph Analytics Achievement Award, where we celebrate visionaries shaping the future of network science and graph analytics. This award recognizes outstanding individuals pushing the boundaries of innovation in these dynamic fields.

Eligibility:

Open globally to professionals, researchers, and academics, this award has no age limits. Nominees should showcase significant contributions to the field of graph analytics in academia, industry, or business.

Qualifications and Publications:

Candidates must exhibit a robust background in network science and graph analytics, supported by a track record of impactful publications. The award committee evaluates the quality and relevance of the nominee's work.

Requirements:
  • Submissions should include a comprehensive biography highlighting the nominee's achievements.
  • An abstract summarizing the nominee's notable contributions to graph analytics.
  • Supporting files that demonstrate the real-world impact of their work.
Evaluation Criteria:

Submissions are assessed based on:

  1. Innovation and originality in graph analytics research.
  2. Impact on the field and practical applications.
  3. Quality and significance of publications.
  4. Demonstrated leadership and collaboration within the community.
Submission Guidelines:
  • Deadline for submission: [insert date].
  • Include the nominee's biography, abstract, and supporting files.
Recognition:

The Graph Analytics Achievement Award recipient will be honored at a prestigious ceremony, featured in industry publications, and awarded a commemorative plaque. A grant is also provided to further their research.

Community Impact:

This award acknowledges individuals not only for their research excellence but also for positively influencing the broader network science and graph analytics community through mentorship, collaboration, and knowledge sharing.

Innovation Excellence Award in Network Science and Graph Analytics
Introduction of Innovation Excellence Award in Network Science and Graph Analytics Welcome to the forefront of recognition in the realm of Network Science and Graph Analytics! The Innovation Excellence Award
Outstanding Research Achievement Award in Network Science and Graph Analytics
Introduction of  Outstanding Research Achievement Award in Network Science and Graph Analytics Welcome to the pinnacle of excellence in the realm of Network Science and Graph Analytics! The "Outstanding Research
Academic Excellence Award in Network Science and Graph Analytics
Introduction of Academic Excellence Award in Network Science and Graph Analytics Welcome to the Academic Excellence Award in Network Science and Graph Analytics, recognizing outstanding achievements and contributions in the
Industry Impact Award in Network Science and Graph Analytics
Introduction of Industry Impact Award in Network Science and Graph Analytics Welcome to the Industry Impact Award in Network Science and Graph Analytics—an accolade honoring pioneers shaping the future of
Leadership in Business Applications Award in Network Science and Graph Analytics
Introduction of Leadership in Business Applications Award in Network Science and Graph Analytics Welcome to the forefront of innovation! The Leadership in Business Applications Award in Network Science and Graph
Collaborative Achievement Award in Network Science and Graph Analytics
Introduction of Collaborative Achievement Award in Network Science and Graph Analytics Welcome to the Collaborative Achievement Award in Network Science and Graph Analytics—a prestigious recognition celebrating innovation and collaboration in
Emerging Talent Award in Network Science and Graph Analytics
Introduction of Emerging Talent Award in Network Science and Graph Analytics Welcome to the future of Network Science and Graph Analytics! The Emerging Talent Award celebrates individuals who showcase exceptional
Strategic Implementation Award in Network Science and Graph Analytics
Introduction of Strategic Implementation Award in Network Science and Graph Analytics Welcome to the Strategic Implementation Award in Network Science and Graph Analytics—an accolade designed to recognize and honor outstanding
Pioneering Contribution Award in Network Science and Graph Analytics
Introduction of Pioneering Contribution Award in Network Science and Graph Analytics Welcome to the Pioneering Contribution Award in Network Science and Graph Analytics, celebrating the trailblazers shaping the future of
Outstanding Contribution to Graph Analytics in Business Award
Introduction of Outstanding Contribution to Graph Analytics in Business Award Welcome to the pinnacle of recognition for leaders shaping the future of Graph Analytics in the business realm. The Outstanding

Corporate Innovator Award in Graph Analytics

Published on by Network Science

Introduction of Corporate Innovator Award in Graph Analytics

Welcome to the forefront of innovation in the realm of graph analytics! The Corporate Innovator Award celebrates the trailblazers and visionaries who have significantly impacted the corporate landscape through their groundbreaking contributions to graph analytics. This prestigious award recognizes those who have transformed the way businesses leverage network science for strategic decision-making and operational excellence.

Eligibility:

Open to corporate professionals and teams worldwide who have demonstrated exceptional innovation and leadership in the application of graph analytics within their organizations.

Age Limits:

No age restrictions apply; innovation knows no bounds.

Qualification:

Nominees should possess a strong background in corporate settings, showcasing remarkable achievements in implementing graph analytics solutions.

Publications and Requirements:

While publications are not mandatory, nominees should have a documented record of implementing graph analytics solutions that have positively impacted their respective industries.

Evaluation Criteria:

Nominees will be evaluated based on the innovation, impact, scalability, and uniqueness of their graph analytics implementations within a corporate context.

Submission Guidelines:

Nominees must submit a detailed biography, an abstract outlining their contributions, and supporting files showcasing the practical applications of graph analytics in their corporate environment.

Recognition:

The recipient of the Corporate Innovator Award will receive a prestigious trophy, a certificate of recognition, and extensive media coverage highlighting their achievements.

Community Impact:

Winners will have the opportunity to share their insights and experiences, contributing to the larger community's understanding of the transformative power of graph analytics in corporate settings.

Biography:

A comprehensive biography detailing the nominee's professional journey, focusing on their contributions to the field of graph analytics.

Abstract and Supporting Files:

A succinct abstract summarizing the nominee's key achievements in graph analytics, accompanied by supporting files showcasing the practical applications of their innovations.

Innovation Excellence Award in Network Science and Graph Analytics
Introduction of Innovation Excellence Award in Network Science and Graph Analytics Welcome to the forefront of recognition in the realm of Network Science and Graph Analytics! The Innovation Excellence Award
Outstanding Research Achievement Award in Network Science and Graph Analytics
Introduction of  Outstanding Research Achievement Award in Network Science and Graph Analytics Welcome to the pinnacle of excellence in the realm of Network Science and Graph Analytics! The "Outstanding Research
Academic Excellence Award in Network Science and Graph Analytics
Introduction of Academic Excellence Award in Network Science and Graph Analytics Welcome to the Academic Excellence Award in Network Science and Graph Analytics, recognizing outstanding achievements and contributions in the
Industry Impact Award in Network Science and Graph Analytics
Introduction of Industry Impact Award in Network Science and Graph Analytics Welcome to the Industry Impact Award in Network Science and Graph Analytics—an accolade honoring pioneers shaping the future of
Leadership in Business Applications Award in Network Science and Graph Analytics
Introduction of Leadership in Business Applications Award in Network Science and Graph Analytics Welcome to the forefront of innovation! The Leadership in Business Applications Award in Network Science and Graph
Collaborative Achievement Award in Network Science and Graph Analytics
Introduction of Collaborative Achievement Award in Network Science and Graph Analytics Welcome to the Collaborative Achievement Award in Network Science and Graph Analytics—a prestigious recognition celebrating innovation and collaboration in
Emerging Talent Award in Network Science and Graph Analytics
Introduction of Emerging Talent Award in Network Science and Graph Analytics Welcome to the future of Network Science and Graph Analytics! The Emerging Talent Award celebrates individuals who showcase exceptional
Strategic Implementation Award in Network Science and Graph Analytics
Introduction of Strategic Implementation Award in Network Science and Graph Analytics Welcome to the Strategic Implementation Award in Network Science and Graph Analytics—an accolade designed to recognize and honor outstanding
Pioneering Contribution Award in Network Science and Graph Analytics
Introduction of Pioneering Contribution Award in Network Science and Graph Analytics Welcome to the Pioneering Contribution Award in Network Science and Graph Analytics, celebrating the trailblazers shaping the future of
Outstanding Contribution to Graph Analytics in Business Award
Introduction of Outstanding Contribution to Graph Analytics in Business Award Welcome to the pinnacle of recognition for leaders shaping the future of Graph Analytics in the business realm. The Outstanding