Nadeem Akhtar | Mathematics | Best Researcher Award

Dr. Nadeem Akhtar | Mathematics | Best Researcher Award

Dr at Higher Education Department Khyber Pakhtunkhwa,Ā  Pakistan

Nadeem Akhtar, a graduate of Quaid-I-Azam University Islamabad, holds an M.Phil from the University of Peshawar. He completed his doctoral research under the supervision of Dr. Sajjad Ahmad Khan and Dr. Muhammad Amin NIFA. Specializing in Bayesian Estimations, Categorical Data Analysis, Censored Data, Regression, and Experimental Design, he has published extensively in academic journals. Nadeem currently serves as an Associate Professor in the Khyber Pakhtunkhwa Higher Education Archives & Libraries Department.

Publication profile

šŸŽ“ Education

Dr. Akhtar earned his Ph.D. in Statistics from Islamia College, Peshawar, Pakistan (2018-2021). He also holds an M.Phil. in Statistics from the University of Peshawar (2004-2006), an M.Sc. in Statistics from Quaid-I-Azam University, Islamabad (2000-2001), and a B.Sc. from Gomal University, D.I. Khan (1997-1999). His academic journey reflects a strong foundation in statistical principles and methodologies.

šŸ’¼ Experience

Dr. Akhtar has extensive experience in the Higher Education Department of Khyber Pakhtunkhwa, Pakistan. He has served as an Associate Professor since May 2019, previously holding positions as an Assistant Professor (2011-2019) and a Lecturer in Statistics (2005-2011). His dedication to teaching and research has made significant contributions to the field of statistics in Pakistan.

šŸ… Awards and Honors

Dr. Akhtar’s work has been recognized through various accolades, including multiple research publications in reputable journals. He is also involved in peer review activities for esteemed journals such as Kuwait Journal of Science and AIP Advances, demonstrating his commitment to advancing statistical research and education.

šŸ”¬ Research Focus

Dr. Akhtar’s research primarily focuses on Bayesian estimation methods, statistical modeling, and analysis of unemployment among educated segments in Pakistan. His publications reflect his expertise in quantitative performance analysis and life testing models, contributing valuable insights to the field of statistics and its applications in social sciences.

šŸ’» Computer Skills

Dr. Akhtar is proficient in statistical packages like SPSS and Minitab and has experience with programming languages such as BASIC, Mathematica, and R. His technical skills enable him to conduct complex statistical analyses and contribute to research initiatives effectively.

 

Publication

1. LFTA: Legacy Friendly Traffic Allocation Strategy for Multi-Link Operation in WiFi7
  • Type: Conference paper
  • Conference: 2024 16th International Conference on COMmunication Systems and NETworkS (COMSNETS 2024)
  • Year: 2024
  • DOI: 10.1109/COMSNETS59351.2024.10426831
  • EID: 2-s2.0-85186724793
  • ISBN: 9798350383119
  • Contributors: Kulshrestha, J.; Akhtar, N.; Hathi, P.; Maity, M.
2. Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators
  • Type: Journal article
  • Journal: Mathematics
  • Date: 2024-09-27
  • DOI: 10.3390/math12193027
  • Contributors: Nadeem Akhtar; Muteb Faraj Alharthi; Muhammad Shakir Khan
3. Analyzing Quantitative Performance: Bayesian Estimation of 3-Component Mixture Geometric Distributions Based on Kumaraswamy Prior
  • Type: Journal article
  • Journal: Statistical Papers
  • Date: 2024-05-15
  • DOI: 10.1007/s00362-024-01562-0
  • Contributors: Nadeem Akhtar; Sajjad Ahmad Khan; Emad A. A. Ismail; Fuad A. Awwad; Akbar Ali Khan; Taza Gul; Haifa Alqahtani
4. Bayesian Estimation of 3-Component Mixture Geometric Distribution Under Different Loss Functions
  • Type: Journal article
  • Journal: AIP Advances
  • Date: 2024-01-01
  • DOI: 10.1063/5.0189420
  • Contributors: Dr. Nadeem Akhtar; Sajjad Ahmad Khan; Emad Ismail; Fuad Awwad; Taza Gul; Akbar Ali Khan
5. Bayesian Estimation of a Geometric Distribution Using Informative Priors Based on a Type-I Censoring Scheme
  • Type: Journal article
  • Journal: Statistics in Transition new series
  • Date: 2023-06-30
  • DOI: 10.59170/stattrans-2023-047
  • Contributors: Dr. Nadeem Akhtar; Sajjad Ahmad Khan; Muhammad Amin; Akbar Ali Khan; Amjad Ali; Sadaf Manzoor
6. Bayesian Estimation of a Geometric Life Testing Model Under Different Loss Functions Using a Doubly Type-1 Censoring Scheme
  • Type: Journal article
  • Journal: Mathematical Problems in Engineering
  • Date: 2023-04-11
  • DOI: 10.1155/2023/7184528
  • Contributors: Nadeem Akhtar; Sajjad Ahmad Khan; Muhammad Amin; Akbar Ali Khan; Zahra Almaspor; Amjad Ali; Sadaf Manzoor

šŸ† Conclusion

Dr. Nadeem Akhtar is a strong candidate for the Best Researcher Award, with a robust academic background, significant teaching experience, and impactful research contributions in statistics. His strengths in research, peer review, and management, combined with a commitment to professional development, position him well for this recognition. While there are areas for improvement, particularly in increasing his publication volume and research collaborations, his overall contributions to the field of statistics make him a deserving nominee for this prestigious award. Recognizing him would not only honor his achievements but also encourage further advancements in statistical research and education.

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