Dr. Noor Badshah

About

“An inspirational Mathematics Professor and educational researcher, offering more than 20 years of progressive experience in the expansion and oversight of academic programs and initiatives to promote student success and achievement”.

Exhibits senior leadership experience having served numerous students across multiple Universities, coupled with profound expertise in the development, implementation, evaluation, and continuous improvement of challenging and inspiring curricula. A passionate education advocate successful in deriving university wide research, directing student experience programs to meet the needs of the University students, and building top-performing teams exclusively committed to academic success of each student. Currently working as an Associate Professor and Postgraduate Advisor, Supervising both PhD and Master students in Computational/Applied Mathematics (specially Numerical Computing), Several publications and current association with the international and national Mathematics Associations/Centres.

Dr. Noor Badshah

Working as Associate Professor, at Department of Basic Sciences, University of Engineering and Technology Peshawar, Pakistan.

  • Birthday: April, 1977
  • Website: www.uetpeshawar.edu.pk
  • Phone: +92 91 9222220
  • City: Peshawar, Pakistan
  • Degree: Ph.D (UK)
  • Email: noorbashah@uetpeshawar.edu.pk
  • Freelance: Available
  • Country: Pakistan

Lectures/Notes

My students, research fellows, teachers, seniors and other fellows' valuable comments about me.

Engineering Course

Differential Equations

Differential Equations

Engineering Course

Differential Equations

Differential Equations

Engineering Course

Differential Equations

Differential Equations

0

Publications

0

Readers

0

Citations

0

Ph.D Supervised

Book Chapters
Fast numerical methods for image segmentation models

in book titled Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging (Springer).

Project completed
National Research Program for Universities - HEC

NRPU Project under the No: 6327/KPK/NRPU/R&D/HEC/2016, Titled “Mathematical Models for Segmentation of MRI and Mamograme Images and Applications”

Research Experience and Interests

Digital Image Processing

Mathematical Modelling and Simulation in image:
Segmentation
Denoising
Registration
Dehazing

Deep Learning

Deep Learning Techniques for image denoising, image segmentation, classification, Deep learning techniques in Information Security, etc.
CNN, RNN

Modelling and Simulation in Mathematical Biology

Modelling and Simulation of dynamical systems for Dengue Fever.
Stability analysis of the dynamical systems for Dengue Fever.
Modelling and stability of dynamical systems for Malaria
Modelling and stability of dynamical systems for COVID-19

Machine Learning

Machine Learning Techniques for image segmentation

Fast Numerical Methods

For solution of partial differential equations arisen from minimization of mathematical models for segmentation, denoising, registration and dehazing.
Multigrid and multilevel methods for solution of Nonlinear partial differential equations.
Operator splitting methods.
Optimization based multilevel methods denoising, Segmentation, Registration etc.
Higher order compact schemes for solution of Heat equation, Wave equation, Laplace equation, Burger equation, Helmholtz equation etc.

Conferences

  • Keynote speaker: 22nd Biennial Conference on Numerical Analysis, NA’07 Dundee, Scotland (UK), 2007.
  • International conference on Modelling and Simulations 2013 (ICOMS-2013) Islamabad, Pakistan,.
  • Keynote Speaker: International conference on Modelling and Simulation 2013 (ICOMS-2013), Air University Islamabad.

  • Keynote Speaker: One day international conference on computational Mathematics with applications, Department of Mathematics, SBBWU, Peshawar 2014.
  • 13th Conference on Statistical Sciences, Department of Statistics, Islamia College, Peshawar, March 2015.
  • Organized a one-day seminar on “What is Knowledge” in Department of Basic Sciences, 9th Dec 2016.
  • Organized a one-day symposium on “Numerical Computing and its Application” in Department of Basic Sciences, 28 Feb 2017.
  • Organized two days conference on Mathematical Sciences and Computing, NCMSEA-2018.
  • Keynote Speaker Two Day Workshop Modelling, Simulation and optimization in Kohat University of Science and Technology, Kohat, 18-19 April 2017.
  • Invited Speaker: SIAM CONFERENCE ON IMAGING SCIENCE June 5-8 2018, Bologna, Italy.
  • Keynote Speaker: International Summer Conference on Number Theory and Information Security, July 27--30, 2023 Zhengzhou, Henan, China. Talk was about “Deep learning in information Security”.
  • Seminar on “Mathematics of Artificial Intelligence” in Shaheed Benazir Women University, Pakistan.

Conference Papers

  1. Hadia atta, Noor Badshah, Hena Rabbani, Multigrid method for piecewise smooth Chan Vese (CV) image segmentation model, Conference Proceeding book (Vol.-I), 222-227, ICOMS 2013.
  2. Hena Rabbani, Noor Badshah, Hadia atta, Variational model for image segmentation with inhomogeneous regions, Conference Proceeding book (Vol.-I), 227-233, ICOMS 2013.
  3. Haider Ali, Gulzar Ali Khan, Nosheen, Noor Badshah, Local Badshah-Chen model for image selective segmentation, Conference Proceeding Book (Vol.-I), 492-496, ICOMS 2013.
  4. Noor Badshah, Fahim Ullah, Haider Ali, New variational model for vector-valued image segmentation, Conference Proceeding Book (Vol.-II, Ver. 1.0), 17-21, ICOMS 2013.
  5. Gul Wali Shah, Noor Badshah, Haider Ali, Image local-global statistics based multiphase segmentation model, Proc. 13th International Conference on Statistical Sciences, Peshawar, Pakistan-March 16-18 March, 2015, Vol. 28, pp. 147-156.
  6. Noor Badshah, Rizwan, Asmat Ullah, A new fractional order variational model via weighted statistic for multiplicative noise removal, Proc. 13th International Conference on Statistical Sciences, Peshawar, Pakistan-March 16-18 March, 2015, Vol. 28, pp. 269-278.
  1. Rashid, Noor Badshah, Haider Ali, Globalised local binary fitting model for image segmentation, Proc. 13th International Conference on Statistical Sciences, Peshawar, Pakistan-March 16-18 March, 2015, Vol. 28, pp. 427-432.
  2. Ali Ahmad, Noor Badshah, Segmentation of Inhomogeneous Images Using Global Fuzzy Difference Image Fitted Energy, NCMSEA-2018.
  3. And many more in the same conference.
  4. Noor Badshah, Safia Khattak, “Mathematical modelling and simulation of COVID-19 in Khyber Pakhtunkhwa (KP), Pakistan”, 5th International Conference on COVID-19 studies, September 24– 25, 2021 Ankara, TURKEY.
  5. Noor Badshah and Faryal Gohar, “Analysis of cell mediated immunity response in COVID-19 through mathematical modelling and simulations”, 5th International Conference on COVID-19 studies, September 24-25, 2021 Ankara, TURKEY.
  6. Maryum Saeed, Noor Badshah and Hadia Atta. New local region-based model for inhomogeneous images with the simplex constraints of landmarks. 4th International Conference on Innovative Computing (ICIC), November 9-10, 2021.
  7. Syed Muhammad Haider Shah and Noor Badshah. Classification of CT/MR Images using Convolution Neural Network. 4th International Conference on Innovative Computing (ICIC), November 9-10, 2021.

Testimonials

My students, research fellows, teachers, seniors and other fellows' valuable comments about me.

I appreciate the research work of Dr. Noor.

Luqman Aziz

Scientist

I appreciate the research work of Dr. Noor.

Luqman Aziz

Scientist

I appreciate the research work of Dr. Noor.

Luqman Aziz

Scientist

Contact

Location:

Department of Basic Sciences, University of Engineering and Technology, Peshawar Pakistan

Phone:

+92 91 9222220

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