Allah Ditta | Mathematics | Best Researcher Award

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Dr. Allah Ditta | Mathematics | Best Researcher Award

Ā Dr at University of Management and Technology Lahore Pakistan, Pakistan

Dr. Allah Ditta is a passionate astrophysicist specializing in General Relativity and black hole dynamics. He completed his Ph.D. in Applied Mathematics at Shanghai University on June 12, 2024. His research delves into the complex interplay of mathematics and theoretical physics, contributing to our understanding of cosmic phenomena. He has received accolades for his academic excellence, including the Chinese YangYang Research Award and the Academic Star Award. With strong communication skills, he excels at conveying intricate concepts to diverse audiences, fostering collaborative environments. Dr. Ditta is eager to continue his research journey in theoretical physics, focusing on gravitation and cosmology.

Profile

Scopus

šŸŽ“ Education

Ph.D. in Applied Mathematics | Shanghai University, China | 2021 – 2024 | CGPA: 3.81 Thesis: Mathematical structural analysis and optical properties of astrophysical compact objects. M.Phil./M.S. in Mathematics | COMSATS University, Islamabad, Lahore Campus | 2018 – 2020 | CGPA: 3.57 Thesis: Stellar Structures in Modified Gravity based on Karmarkar Condition. M.Sc. in Mathematics | Bahauddin Zakariya University, Multan | 2014 – 2016 | CGPA: 3.95. MBA in Finance | Bahauddin Zakariya University, Multan | 2006 – 2008 | CGPA: 2.96

šŸ’¼Ā Experience

Lecturer | Concordia College, Sahiwal, Pakistan | Aug 2016 – Oct 2021 Taught various mathematics subjects including Linear Algebra and General Relativity, contributing to undergraduate education. Mathematics/Science Demonstrator | Government of Punjab Education Department, Pakistan | Sep 2010 – Aug 2016
Educated high school students in mathematics and physics while managing records and training staff as a master trainer.

šŸ† Awards & Honors

Yang Yang Research Award | Shanghai University | Nov 2022Recognized as the best researcher for outstanding contributions. Academic Star of the Year | Shanghai University | Dec 2023 Awarded for exceptional research and overall performance. Outstanding International Graduate | Shanghai University | Jun 2024 Acknowledged for exemplary research contributions as an international student. Honorary Credential | Shanghai University | May 2024 Received for participation in the 11th International Cultural Day celebrations.

šŸ”¬ Research Focus

Dr. Ditta’s research primarily revolves around General Relativity, black holes, and compact stars. His dissertation examined the mathematical structures and optical properties of astrophysical compact objects. He employs both analytical and numerical methods to analyze spacetime curvature, contributing to the theoretical framework that governs exotic celestial phenomena. His publications in reputable journals reflect his commitment to advancing the understanding of cosmic dynamics. Dr. Ditta aims to explore gravitational interactions, the thermodynamics of black holes, and their implications for astrophysics, continually pushing the boundaries of knowledge in theoretical physics.

šŸ” Conclusion

The candidate exhibits a strong foundation for being awarded the Best Researcher Award, characterized by a solid academic background, significant research contributions, and recognized excellence in their field. While there are opportunities for growth, particularly in expanding research interests and enhancing publication frequency, their commitment to theoretical physics and ability to engage effectively with the academic community positions them as an outstanding candidate. With continued dedication to research and collaboration, the individual is poised to make impactful contributions to the understanding of complex astrophysical phenomena.

Publications Top Notes

    1. Testing the non-commutative charged Schwarzschild black hole surrounded by perfect fluid dark matter for thermodynamical features and weak gravitational lensing
      Authors: Feng, Y., Ditta, A., Mustafa, G., Ray, S., Atamurotov, F.
      Year: 2024
      Journal: Physics of the Dark Universe, 46, 101685

     

    1. Optical properties of Eulerā€“Heisenberg black hole surrounded by perfect fluid dark matter
      Authors: Yildiz, G.D.A., Ditta, A., Ashraf, A., Alanazi, Y.M., Reyimberganov, A.
      Year: 2024
      Journal: Physics of the Dark Universe, 46, 101583

     

    1. Particle motion, shadows and thermodynamics of regular black hole in pure gravity
      Authors: Ditta, A., Bouzenada, A., Mustafa, G., Alanazi, Y.M., Mushtaq, F.
      Year: 2024
      Journal: Physics of the Dark Universe, 46, 101573

     

    1. Non-commutative Schwarzschild black hole surrounded by Perfect fluid dark matter: Plasma lensing and thermodynamics analysis
      Authors: Feng, Y., Ditta, A., Mustafa, G., Mahmood, A., Atamurotov, F.
      Year: 2024
      Journal: Nuclear Physics B, 1008, 116713

     

    1. On the evaluation of accretion process near a quantum-improved charged black hole
      Authors: Murtaza, G., Ditta, A., Naseer, T., Ghaffar, A., Javed, F.
      Year: 2024
      Journal: Journal of High Energy Astrophysics, 44, pp. 279ā€“289

     

    1. Stellar modeling with quintessence field via embedding approach in Ratsall teleparallel gravity
      Authors: Mahmood, I., Sohail, H., Ditta, A., Mahmood, A.
      Year: 2024
      Journal: International Journal of Geometric Methods in Modern Physics, 21(13), 2450229

     

    1. Physical characteristics of anisotropic solutions in f(Q,T) gravity under the vanishing complexity, embedding class one, conformally flat and conformally Killing conditions
      Authors: Ditta, A., Tiecheng, X., Maurya, S.K., Mahmood, A., Ray, S.
      Year: 2024
      Journal: Nuclear Physics B, 1007, 116689

Nadeem Akhtar | Mathematics | Best Researcher Award

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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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