Dr Hira Ilyas

Academic Position:

Assistant Professor

Teaching Interests:

Applied Mathematics and Computational numerical analysis.

Fields of Research (FoR):

Computational numerical algorithms, Machine Learning, Deep Learning.

Keywords:

Neural Networks, Differential Equations, Numerical Computing, Bioinformatics

Contact Details:

Social Links

Student Advising Schedule:

Monday 9:00-12:00

Total Experience

BIOGRAPHY

Hira Ilyas done her PhD titled “Design and applications of WAVENET for solving nonlinear models” from University of Gujrat, Pakistan. She completes her M.Phil in Applied Mathematics from University of Gujrat, Pakistan in 2015. She done her BS from University of Gujrat, Pakistan in Mathematics in 2006. In her 7 years of research career, she solved the well-known problems with computational numerical techniques specifically stochastic methods by means of MATLAB, Mathematica software’s along with statistical analysis in Minitab. She had developed computational algorithms for iterative method, WaveNet solver, spline methods, Levenberg-Marquardt back-propagation, unsupervised learning with different activation functions. She is a passionate researcher who belief the dissemination of research is an assist of sciences. She had 25 publications with overall impact factor above 100.

ACADEMIC APPOINTMENTS

No.

Designation

School/Institute/University

1

Assistant Professor (Nov 2021-Oct 2023)

UOG, Pakistan

2

Lecturer (Agu 2015-Feb 2019)

UOG, Pakistan

3

Researcher (2019-2021)

HEC Project,

MY QUALIFICATIONS

No.

Degree/Program of study

Awarding Body/University/Institute

1

PhD Mathematics (2021)

University of Gujrat, Pakistan

2

MPhil Mathematics (2015)

University of Gujrat, Pakistan

3

BS(Horn) Mathematics

University of Gujrat, Pakistan

4

HSSC (2007)

FBISE

5

SSC (2005)

FBISE

MY RESEARCH ACTIVITIES: JOURNALS ARTICLES / BOOK CHAPTERS / PATENTS

1.     

Design of evolutionary computational intelligent solver for nonlinear corneal shape model by Mexican Hat and Gaussian Wavelet Neural Networks, Waves in Random and Complex Media (Accepted).

2.     

Butt, Z.I., Raja, M.A.Z., Ahmad, I., Hussain, S.I., Shoaib, M. and Ilyas, H., 2024. Radial basis kernel harmony in neural networks for the analysis of MHD Williamson nanofluid flow with thermal radiation and chemical reaction: An evolutionary approach. Alexandria Engineering Journal, 103, pp.98-120. (Category W. Impact factor: 6.8). https://doi.org/10.1016/j.aej.2024.06.021

3.     

Ahmad, I., Hussain, S. I., Ilyas, H., Raja, M. A. Z., Afzal, S., & Javed, M. (2024). Optimal control of thermoregulation in the human dermal regions investigated through the stochastic integrated techniques. Case Studies in Thermal Engineering58, 104381. (Category W. Impact factor: 6.8). https://doi.org/10.1016/j.csite.2024.104381

4.     

Butt, Z. I., Ahmad, I., Hussain, S. I., Raja, M. A. Z., Shoaib, M., & Ilyas, H. (2024). Inverse multiquadric kernel‐based neuro heuristic approach to analyze the unsteady MHD nanofluid flow via permeable elongating surface. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik104(2), e202300390. (Category W. Impact factor: 2.3).

5.     

Ahmad, I., Ilyas, H., Hussain, S. I., & Raja, M. A. Z. (2024). Evolutionary techniques for the solution of bio-heat equation arising in human dermal region model. Arabian Journal for Science and Engineering49(3), 3109-3134. (Category W. Impact factor: 2.9). https://doi.org/10.1007/s13369-023-07907-5

6.     

Butt, Z. I., Ahmad, I., Shoaib, M., Ilyas, H., Kiani, A. K., & Raja, M. A. Z. (2024). Integrated intelligence of inverse multiquadric radial base neuro‐evolution for radiative MHD Prandtl–Eyring fluid flow model with convective heating. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, e202300302. (Category W. Impact factor: 2.3).  https://doi.org/10.1002/zamm.202300302

7.     

Ahmad, I., Munir, A., Nisar, K. S., Raja, M. A. Z., Ilyas, H., & Shoaib, M. (2024). Intelligent computing infrastructure for nodal/saddle stagnation point slip flow of an aqueous convectional magnesium oxide–gold hybrid nanofluid with viscous dissipation. International Journal of Modelling and Simulation, 1-20. (Category X. Impact factor: 3.1). https://doi.org/10.1080/02286203.2024.2311443

8.     

Butt, Z. I., Ahmad, I., Hussain, S. I., Raja, M. A. Z., Shoaib, M., & Ilyas, H. (2024). Intelligent computing paradigm for unsteady magneto nano-polymeric Casson nanofluid with Ohmic dissipation and thermal radiation. Chinese Journal of Physics88, 212-269. (Category W. Impact factor: 5). doi.org/10.1007/s13369-023-07907-5

9.     

Asghar, S. A., Ahmad, I., Ilyas, H., Abdullah, M., Shoaib, M., & Raja, M. A. Z. (2024). Numerical treatment of singular functional systems in quantum calculus: adaptive backpropagated Levenberg–Marquardt neural networks. The European Physical Journal Plus139(1), 10. (Category W. Impact factor: 3.69).

10.  

Butt, Z. I., Ahmad, I., Raja, M. A. Z., Hussain, S. I., Shoaib, M., & Ilyas, H. (2023). Neuro-Heuristic Computational Intelligence Approach for Optimization of Electro-Magneto-Hydrodynamic Influence on a Nano Viscous Fluid Flow. International Journal of Intelligent Systems2023). (Category W. Impact factor: 8.993).

11.  

Ahmad, I., Hussain, S. I., Ilyas, H., Jabeen, S., & Iqrar, A. (2023). On the applications of collocation method for numerically analyzing the nonlinear Degasperis–Procesi and Benjamin–Bona–Mahony equations. International Journal of Modern Physics B, 2450264. (Category X. Impact factor: 1.7).

12.  

Butt, Z. I., Ahmad, I., Ilyas, H., Shoaib, M., & Raja, M. A. Z. (2023). Design of inverse multiquadric radial basis neural networks for the dynamical analysis of MHD casson nanofluid flow along a nonlinear stretchable porous surface with multiple slip conditions. International Journal of Hydrogen Energy, 48(42), 16100-16131. (Category W. Impact factor: 7.139).

13.  

Ahmad, I., Hussain, S. I., Ilyas, H., Zoubir, L., Javed, M., & Zahoor Raja, M. A. (2023). Integrated Stochastic Investigation of Singularly Perturbed Delay Differential Equations for the Neuronal Variability Model. International Journal of Intelligent Systems, 2023. (Category W. Impact factor: 8.993).

14.  

Asghar, M., Ahmad, I., Ilyas, H., Naz, S., ul Basat, N., & Raja, M. A. Z. (2023). Novel intelligent computing knacks for fuzzy dynamical model of vibrating mass system. International Journal of Modern Physics B, 37(29) 2350254. (Category X. Impact factor: 1.7).

15.  

Butt, Z. I., Ahmad, I., Shoaib, M., Ilyas, H., Kiani, A. K., & Raja, M. A. Z. (2023). Neuro-evolution heuristics for Prandtl-Eyring nanofluid flow with homogenous/heterogeneous reaction across a linearly heated stretched sheet. Waves in Random and Complex Media, 1-47, (Category X. Impact factor: 4.051).

16.  

Butt, Z. I., Ahmad, I., Shoaib, M., Ilyas, H., & Raja, M. A. Z. (2023). A novel design of inverse multiquadric radial basis neural networks to analyze MHD nanofluid boundary layer flow past a wedge embedded in a porous medium under the influence of radiation and viscous effects. International Communications in Heat and Mass Transfer, 140, 106516. (Category W. Impact factor: 6.872).

17.  

Ilyas, H., Ahmad, I., Raja, M. A. Z., & Shoaib, M. (2022). MHD-hybrid nanofluidic model on rotating plate with impact of thermal slip and heat absorption: a solution predictive neuro-computing approach. Waves in Random and Complex Media, 1-30. (Category X. Impact factor: 4. 051).

18.  

Butt, Z.I., Ahmad, I., Shoaib, M., Ilyas, H. and Raja, M.A.Z., 2022. Electro-magnetohydrodynamic impact on Darrcy-Forchheimer viscous fluid flow over a stretchable surface: Integrated intelligent Neuro-evolutionary computing approach. International Communications in Heat and Mass Transfer, 137, p.106262. ISSN: 0735-1933. (Category W. Impact Factor: 6.872).

19.  

Ahmad, Iftikhar, Siraj-ul-Islam Ahmad, Kadir Kutlu, Hira Ilyas, Syed Ibrar Hussain, and Faiz Rasool. “On the dynamical behavior of nonlinear Fitzhugh–Nagumo and Bateman–Burger equations in quantum model using Sinc collocation scheme.” The European Physical Journal Plus 136, no. 11 (2021): 1-24. ISSN: 21905444. (Category W. Impact factor: 3.69)

20.  

Ilyas, H., Ahmad, I., Raja, M. A. Z., Tahir, M. B., & Shoaib, M. (2021). Neuro-intelligent mappings of hybrid hydro-nanofluid Al2O3–Cu–H2O model in porous medium over rotating disk with viscous dissolution and Joule heating. International Journal of Hydrogen Energy46(55), 28298-28326. (Category W. Impact factor: 5.816).

21.  

Ilyas, H., Raja, M. A. Z., Ahmad, I., & Shoaib, M. (2021). A novel design of Gaussian wavelet neural networks for nonlinear Falkner-Skan systems in fluid dynamics. Chinese Journal of Physics72, 386-402. (Category W. Impact factor: 2.638).

22.  

Ahmad, I., Hussain, S. I., Ilyas, H., García Guirao, J. L., Ahmed, A., Rehmat, S., & Saeed, T. (2021). Numerical solutions of Schrödinger wave equation and Transport equation through Sinc collocation method. Nonlinear Dynamics105(1), 691-705. (Category W. Impact factor: 4.867).

23.  

Ahmad, I., Hussain, S. I., Usman, M., & Ilyas, H. (2021). On the solution of Zabolotskaya–Khokhlov and Diffusion of Oxygen equations using a sinc collocation method. Partial Differential Equations in Applied Mathematics4, 100066. ISSN: 26 66-8181. (Category X. Impact factor: 1.72).

24.  

Ahmad, I., Ilyas, H., Raja, M. A. Z., Khan, Z., & Shoaib, M. (2021). Stochastic numerical computing with Levenberg-Marquardt backpropagation for performance analysis of heat Sink of functionally graded material of the porous fin. Surfaces and Interfaces, 26, 101403. (Category W. Impact factor: 4.837).

25.  

Ilyas, H., Ahmad, I., Raja, M. A. Z., & Shoaib, M. A novel design of Gaussian WaveNets for rotational hybrid nanofluidic flow over a stretching sheet involving thermal radiation. International Communications in Heat and Mass Transfer, 123, 105196, (2021). (Category W. Impact factor: 3.971)

26.  

Ilyas, H., Ahmad, I., Raja, M. A. Z., Tahir, M. B., & Shoaib, M. (2021). Intelligent networks for crosswise stream nanofluidic model with Cu–H2O over porous stretching medium. International Journal of Hydrogen Energy46(29), 15322-15336. (Category W. Impact factor: 5.816).

27.  

Ilyas, H., Ahmad, I., Raja, M. A. Z., Tahir, M. B., & Shoaib, M. Intelligent computing for the dynamics of fluidic system of electrically conducting Ag/Cu nanoparticles with mixed convection for hydrogen possessions. International Journal of Hydrogen Energy, 46(7), 4947-4980, (2021). (Category W. Impact factor: 5.816).

28.  

Ahmad, I., Ilyas, H., Kutlu, K., Anam, V., Hussain, S. I., & Guirao, J. L. G. (2021). Numerical computing approach for solving Hunter-Saxton equation arising in liquid crystal model through sinc collocation method. Heliyon7(7). (Category W. Impact Factor: 2.85).

29.  

Cheema, T. N., Raja, M. A. Z., Ahmad, I., Naz, S., Ilyas, H., & Shoaib, M. Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control. The European Physical Journal Plus, 135(11), 1-35, (2020). (Category X. Impact factor: 3.911).

30.  

Iftikhar Ahmad and Hira Ilyas, Urooj. Novel applications of intelligent computing paradigms for the analysis of nonlinear reactive transport model of the fluid in soft tissues and microvessels. Neural Computing and Applications, 31, 9041–9059 (2019). (Category W. Impact factor: 4. 664).

31.  

Iftikhar Ahmad and Hira Ilyas, Homotopy Perturbation Method for nonlinear MHD Jeffery-Hamel blood flows problem, Applied Numerical Mathematics 141, 124-132, (2019). (Category W. Impact factor: 1.678).

32.  

Iftikhar Ahmad, Fayyaz Ahmad, Muhammad Asif Zahoor Raja, Hira Ilyas, Nabeela Anwar and Zarqa Azad, Intelligent computing to solve fifth-order boundary value problem arising in induction motor models, Neural Computing and Applications 29, 449–466 (2018). (Category W. Impact factor: 4.664).

33.  

Iftikhar Ahmad, Hira Ilyas, Muhammad Bilal. “Numerical solution for Nonlinear MHD Jeffery-Hamel Blood flow problem through neural networks optimized technique”, Journal of Applied Environmental and Biological Sciences, 4(7S)33-43, (2014). ISSN: 2090-4274. (Impact factor: 1.72).

34.  

Ahmad, I., Ilyas, H., Raja, M. A. Z., Cheema, T. N., Sajid, H., Nisar, K. S., … & Abbas, M. (2022). Intelligent computing based supervised learning for solving nonlinear system of malaria endemic model. AIMS Mathematics7(11), 20341-20369. (Category X, Impact factor: 2.793).

MY RESEARCH SUPERVISION:

Currently Supervising

Student Name Research Topic Affiliation

Completions

 

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MY TEACHINGS:

Course Information (Name/Code)Year TaughtProgram (BS/MS/PhD)University /Institute