Biography

Prof. Muhammad Kamran Siddiqui

Department of Mathematics

Comsats University Islamabad, Pakistan

Tenured Associate Professor


E-mail: kamransiddiqui75@gmail.com, kamransiddiqui@cuilahore.edu.pk


Qualifications

2018 Post Doctorate, Mathematics, United Arab Emirates University, United Arab Emirates

2014 Ph.D., Mathematics, GC University, Pakistan

2008 MPhil, Mathematics, GC University, Pakistan

2005 M.Sc., Mathematics, University of the Punjab, Pakistan

2003 B.Sc., Double Mathematics, Physics, University of the Punjab, Pakistan


Publications (Selected)

  1. H. M. Nagesh, U. Vijaya Chandra Kumar, Muhammad Kamran Siddiqui, Topological indices and entropy measures in cove‑edged graphene nanoribbons using curve‑fitting models, Applied Physics A, (2025) 131:56, 1-17.
  2. Rashad Ismail, Hafiz Muhammad Bilal, Kiran Naz, Sarfraz Ahmad, Muhammad Kamran Siddiqui, Mustafa Ahmed Ali, Investigating Seidel energies and thermodynamic properties of benzenoid hydrocarbons through regression models. Scientific Reports, 15, no. 1 (2025): 867, 1-13.
  3. Huiling Qin, Mudassar Rehman, Muhammad Farhan Hanif, Muhammad Yousaf Bhatti, Muhammad Kamran Siddiqui, Mohamed Abubakar Fiidow, A python approach for prediction of physicochemical properties of antiarrhythmia drugs using topological descriptors. Scientific Reports, 15, no. 1 (2025): 1742, 1-18.
  4. Jiang-Hua Tang, Muhammad Kamran Siddiqui,· Muhammad Yousaf Bhatti, Muhammad Younas, Shazia Manzoor, Muhammad Farhan Hanif, Computational Analysis of Mostar Type Indices and Entropy Measures in Silicon Dioxide and Nanostructures. Silicon, 1, (2025), 1-16.
  5. Muhammad Shafii Abubakar, Kazeem Olalekan Aremu, Maggie Aphane, Muhammad Kamran Siddiqui, Exploring topological indices of oligothiophene dendrimer via neighborhood M-polynomials. RAIRO - Operations Research. 59, (2025), 149–161.
  6. Kiran Naz, Hafiz Muhammad Bilal, Muhammad Kamran Siddiqui, Sarfraz Ahmad, Mustafa Ahmed Ali, predicting tuberculosis drug properties using extended energy based topological indices via a python driven QSPR approach. Scientific Reports, 15, no. 5 (2025): 15642, 1-29.
  7. Sivakumar, Balsubramanian, Veerappan Rajkumar, Muhammad Kamran Siddiqui. 2024. "Quantifying Algebraic Connectivity: Sombor Index and Polynomial in Some Graphs of Commutative Ring Zp," Symmetry, 16, no. 12: 1615, 1-17.
  8. Haseeb Ahmad, Muhammad Kamran Siddiqui, Muhammad Farhan Hanif, Brima Gegbe, Exploring the Distance-Based Topological Indices for Total Graphs via Numerical Comparison. Journal of Mathematics 2024, volume 2024, Article ID 4423113, 1-19.
  9. Asma Khalid, Shoaib Iqbal, Muhammad Kamran Siddiqui, Tariq Javed Zia, Brima Gegbe, On physical analysis of topological indices and entropy measures for porphyrazine structure using logarithmic regression model. Scientific Reports, 14, no. 1 (2024): 28669, 1-21.
  10. Sana Javed, Shabbir Ahmad, Noor Sehar, Sadia Khalid, Muhammad Kamran Siddiqui, Brima Gegbe, Enhancing topological index of calcium chloride network through feature selection methods exploration. Scientific Reports, 14, no. 1 (2024): 27722, 1-26.
  11. Rongbing Huang, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Muhammad Faisal Hanif, Fikre Bogale Petros, Analyzing boron oxide networks through Shannon entropy and Pearson correlation coefficient. Scientific Reports, 14, no. 1 (2024): 26552, 1-26.
  12. Thilsath Parveen, Balamurugan Bommahalli Jayaraman, Muhammad Kamran Siddiqui,Exploring the properties of antituberculosis drugs through QSPR graph models and domination-based topological descriptors. Scientific Reports, 14, no. 1 (2024): 24387, 1-25.
  13. Sana Javed, Muhammad Kamran Siddiqui, Sadia Khalid, Shazia Manzoor, Uzair Zaman Khan, Predictive modeling of the heat of formation of sulfur hexafluoride using data science techniques, Eur. Phys. J. Plus, (2023), 138:1119, 1-21.
  14. Wang Zhen, Mazhar Hussain, Muhammad Kamran Siddiqui, Sana Javed, Sadia Khalid, Naima Amin, 2023, On physical analysis of entropy measures for sodium oxide via statistical models, International Journal of Quantum Chemistry, 12, 1-20, DOI: 10.1002/qua.27295.
  15. Hani Shaker, Sabeen Javaid, Usman Babar, Muhammad Kamran Siddiqui, Asim Naseem, Characterizing superlattice topologies via fifth M-Zagreb polynomials and structural indices, Eur. Phys. J. Plus, (2023) 138:1025, 1-12.
  16. Yongzhou Lu, Muhammad Kamran Siddiqui, Muhammad Nasir, Muhammad Farhan Hanif (2023), On Topological Co-Indices of David Derived Networks, IETE Journal of Research, 69:9, 5871-5882.
  17. Leena Rosalind Mary Gnanaraj, Deepa Ganesan, Muhammad Kamran Siddiqui, (2023), Topological Indices and QSPR Analysis of NSAID Drugs, Polycyclic Aromatic Compounds, 43(10), 9479-9495.
  18. Muhammad Kamran Siddiqui, Sana Javed, Sadia Khalid, Naima Amin,  Mazhar Hussain, (2023),  On network construction and module detection for molecular graph of titanium dioxide, Journal of Biomolecular Structure and Dynamics, 41(20), 10591-10603.
  19. Mazhar Hussain, Muhammad Kamran Siddiqui, Muhammad Farhan Hanif, Hasan Mahmood, Zohaib Saddique, Samuel Asefa Fufa, On K-Banhatti indices and entropy measure for rhodium (III) chloride via linear regression models, Heliyon, 9, (2023), e20935, 1-13.
  20. Caicai Feng, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Mazhar Hussain, Nazir Hussain, On analysis of entropy measure via logarithmic regression model for 2D-honeycomb networks, Eur. Phys. J. Plus, (2023) 138:924, 1-17.
  21. Rongbing Huang, Muhammad Kamran Siddiqui, Shazia Manzoor, Sadia Khalid, Sultan Almotairi, On physical analysis of topological indices via curve fitting for natural polymer of cellulose network. Eur. Phys. J. Plus 137, 410 (2022), 1--17.
  22. Muhammad Imran, Ali Ahmad, Muhammad Kamran Siddiqui, On degree-based topological descriptors of graphyne and graphdiyne nanoribbon, Eur. Phys. J. Plus, (2022), 137,1-18.
  23. Guangwu Liu, Muhammad Kamran Siddiqui, Shazia Manzoor, Muhammad Naeem, Douhadji Abalo, On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models, Complexity Volume 2022, Article ID 4416647, 1-14.
  24. Abdul Rauf, Muhammad Naeem, Saba Maqbool, Muhammad Kamran Siddiqui, (2022), Irregularity Indices for Certain Anti-Tumor and Anti-Covid Drugs, Polycyclic Aromatic Compounds, 42:9, 6614-6627.
  25. Mohamed Basher, Muhammad Kamran Siddiqui, On even-odd meanness of super subdivision of some graphs, Proyecciones (Antofagasta), 41(5),1213-1228.
  26. Vignesh Ravi, Muhammad Kamran Siddiqui, Natarajan Chidambaram, Kalyani Desikan, (2022), On Topological Descriptors and Curvilinear Regression Analysis of Antiviral Drugs Used in COVID-19 Treatment, Polycyclic Aromatic Compounds, 42(10), 6932-6945.
  27. Muhammad Ishtiaq, Abdul Rauf, Qammar Rubbab, Muhammad Kamran Siddiqui, Humaira Ibrahim, (2022), Algebraic Polynomial Based Topological Properties of Anti-Tumor Drug; Hyaluronic Acid-Doxorubicin (HAD), Polycyclic Aromatic Compounds, 42(10), 7049-7070.
  28. Yanli Ma, Muhammad Kamran Siddiqui, Sana Javed, Lubna Sherin, (2022), On Analysis of Topological Indices for Graphitic Carbon Nitride via Enthalpy and Entropy Measurements, Polycyclic Aromatic Compounds, 42(10), 7414-7429.
  29. Wei Zhang, Syed Ajaz K. Kirmani, Muhammad Kamran Siddiqui, Abdul Rauf, Muhammad Aleem, Muhammad Aamer Rashid, (2022), On Degree Based Topological Indices of Polycyclic Certain Interconnection Networks, Polycyclic Aromatic Compounds, 42(10), 7446-7463.
  30. Jun Yang, Mehwish Hussain Muhammad, Muhammad Kamran Siddiqui, Muhammad Farhan Hanif, Muhammad Nasir, Safdar Ali, Jia-Bao Liu, (2022), Topological Co-indices of Hydroxyethyl Starch Conjugated with Hydroxychloroquine Used for COVID-19 Treatment, Polycyclic Aromatic Compounds, 42(10), 7130-7142.


Profile Details

WoS ResearcherID: B-1741-2017

https://orcid.org/0000-0002-2607-4847

https://lahore.comsats.edu.pk/Employees/1267

https://www.researchgate.net/profile/Muhammad-Siddiqui-31

https://scholar.google.com/citations?user=qY35C_cAAAAJ&hl=en

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