Formal Education:


  • Ph.D. in Mathematics                                                                                     (November 2014)

Department of Mathematical Sciences,

Norwegian University of Science and Technology (NTNU), Trondheim Norway                       

 

Thesis: Higher order integrators for Hamilton´s equations: Modified Symplectic Algorithms


In this Ph.D thesis some new algorithms for numerical solutions for Hamiltonian equations have been proposed and tested. These methods preserve the symplectic structure exactly (to the accuracy of the numerical precision), and is of higher order in the time-step. Explicit general formulas with local accuracy till 8th order  has been presented, as well as a Python program of automatic implementation of numerical code for the solution of specific models.



  • M.Phil  (Applied Mathematics)                                                                         August 2006 -- September 2008

Department of Mathematics, Government College University (GCU), Lahore Pakistan


Thesis: Some finite difference methods for two-dimensional elliptic equations.


In this thesis finite difference difference methods are introduced and used to approximate the solutions of elliptic partial differential equations. MATLAB programming is used for simulations.Earned the degree with very good CGPA from one of the distinguish institution of Pakistan.

Following courses were the mandotary part of the M.Phil studies besides thesis work.

Courses: Algebra, Functional Analysis, Numerical Analysis, Theory of Differential Equations, Advanced Group Theory, Module Theory and Group Representations, and Foundation of Mathematics.




  • M. Sc.  (Computational Mathematics)                                                               November 1998 –  December 2000

Department of Mathematics, University of the Punjab, Lahore Pakistan


This University, established in 1882 at Lahore,  is the largest and the oldest seat of higher learning in Pakistan. It was the first to be established in the sub-continent in Muslim majority area. The fact that two Nobel laureate, Dr. Abdus Salam and Har Gobind Khorana, are from this University speaks volumes for its academic and research excellence.

Got master´s degree with first division from this prestigious university of the Pakistan. Studies following course in connection with the completion of this degree.

Courses: Real Analysis, Advanced analysis, Methods of Mathematical Physics, Complex Analysis, Computer Applications (Programming in FORTRAN), Functional Analysis and Topology, Numerical Analysis, Electromagnetic Theory, Mechanics and Differential Geometry, Algebra, Vectors and Tensors, Mathematical Statistics, Group Theory.


  • B. Sc.  (Mathematics and Statistics)                                                                                1996 – 1998

Government Islamia College Civil Lines, Lahore Pakistan


Courses: Mathematics A Course : Calculus and Analytic Geometry , Linear Algebra and Differential Equation Mathematics and B Course : Vector Analysis and Mechanics, Mathematical Methods, Group Theory , Metric Spaces, Statistics, English Compulsory, Pakistan studies and Islamic Studies


  • Intermediate (Mathematics & Statistics)                                                                               1994 – 1996

Government Islamia College Civil Lines, Lahore Pakistan


Courses: English(I+II), Urdu(I+II), Islamic studies, Pakistan studies, Economics(I+II) , Mathematics(I+II), Statistics(I+II)


  • Matric  (Science Subjects)                                                                                                           1992 – 1994

Government High School Shahdra, Lahore Pakistan.


Courses: English, Urdu, Islamic studies, Pakistan studies, Physics, Mathematics, Chemistry, Biology


Work Experience:



 Professor of Mathematics September                                              March 2024 – Present


Faculty of Professional Studies, Realfag, Nord University Bodø Norway


Associate Professor  of Mathematics                                                            September 2016 – February 2024

Faculty of Professional Studies, Nord University Bodø Norway


  • Post Doctorate Fellow                                                                     .                July 2016 – August 2016

Sintef ICT, Applied Mathematics, Trondheim Norway

Industry partners: Statoil, WindSIM, TrønderEnergi.

Research partners: Norwegian Meteorological Institute, NTNU.


Main Responsibilites:

Wind energy resource assessment, Weather forcasting

uniCQue: Uncertainty reduction in monitoring methods for improved CO2 Quantity estimation

(A project with SINTEF Petroleum)

Statistical analysis of forecast data


  • Post-Doctorate Fellow/ Researcher                                                                 September 2014 – June 2016

Department of Mathematical Sciences,

Norwegian University of Science and Technology (NTNU), Trondheim Norway   


Main Responsibilites:

Lecturer:  MA2501 Numerical methods (https://wiki.math.ntnu.no/ma2501/2016v/course_information),

Teaching the course to Master and Bachelor´s students,

Responsible for programming project work and assignments

Grading the exams, assignments and projects

Maintain the course webpage.

uniCQue: Uncertainty reduction in monitoring methods for improved CO2 Quantity estimatio

(A project with SINTEF Petroleum)


  • Research Scientist                                                                                            September 2012 – December 2013

Department of Mathematical Sciences,

Norwegian University of Science and Technology (NTNU), Trondheim Norway 

 

Development of higher order integrators (HOI) for Hamilton's equations

Development of Python program for automatic generation of numerical code for HOI


  • Lecturer in Mathematics                                                                                   February 2005 – November 2008

University of Education, Township Campus, Lahore Pakistan


UE is the first specialized university in the education sector of Pakistan. The main goal of this university is to produce better future teachers and leaders. Taught master and graduate classes. Took part in development of graduate and undergraduate mathematics courses and curriculum.


  • Tutor of Mathematics                                                                                        March 2003 – February 2005

Virtual University of Pakistan, Lahore


VU is a unique university of Pakistan that provides distant learning to students through a developed VULMS system.

 

Main responsibilities were:

Online tutoring of graduate courses like Calculus I, II, III, Discrete mathematics, ODEs.

Monitoring online discussion boards.

Marking, and marking assignments and exams through VULMS systems.


  • Lecturer in Mathematics                                                                                    August 2002 – March 2003

Government of the Punjab. Government Degree College Uch Sharif, Bahawalpur

Taught undergraduate and high school classes.

 

Publications:


  1. Hybrid Deep Learning Framework for Reduction of Mixed Noise via Low Rank Noise Estimation 2022, IEEE Access: Volum 10, s. 46738-46753 ; Kim, DAI-GYOUNG; Ali, Yasir; Farooq, Muhammad Asif; Mushtaq, Asif; Rehman, Muhammad Ahmad Abdul; Shamsi, Zahid Hussain

  2. D.G.Kim, Z.H.Shamsi, A.Mushtaq, M.Hussain, M.Adnan, M.A.Farooq. "Mixed Noise Removal Using Adaptive Median Based Non-Local Rank Minimization" IEEE Access, Vol 9 (January, 2021)


  3. A.Mushtaq, A. Noreen, K. Olaussen, “Numerical solution of Quantum Mechanical Eigenvalue Problems ” Frontier in Physics; Mathematical and Statistical Physics, Vol. 8, S. 1-10 (September, 2020) Click here

  4. M. A. Frooq, A. Salahuddin, M. Razzaq, S. Hussain, A.Mushtaq, “Computational analysis of unsteady and steady magnetohydrodynamic radiating nano fluid flows past a slippery stretching sheet immersed in a permeable medium ”  Scientia Iranica, International Journal of Science and Technology, Vol. 27, (December, 2020)


  5. M. Irfan, M. A. Farooq, A.Mushtaq, Z.Shamsi, “ Unsteady MHD Bionanofluid Flow in a Porous Medium with Thermal Radiation near a Stretching/Shrinking Sheet” Mathematical Problems in Engineering, Volume 2020  (November, 2020)



  6. Z. Shamsi, A. Noreen, A. Mushtaq, “Analysis of quantum coherence for localized fermionic systems in an accelerated motion" Results in Physics, Vol. 19 (August, 2020)

  7. M. A. Farooq, R. Sharif, S. Naz, A. Mushtaq, “Numerical Comparison of Constant and Variable Fluid Properties for MHD Flow over a Nonlinearly Stretching Sheet” IAENG International Journal of Applied Mathematics Vol 50 (2), 384--395  (June, 2020) Click here


  8. M.Irfan, M. A. Farooq, T. Iqra, A. Mushtaq, Z.Shamsi , A Simplified Finite Difference Method (SFDM) for EMHDPowell–Eyring Nanofluid Flow Featuring Variable ThicknessSurface and Variable Fluid Characteristics Mathematical Problems inengineering, Vol 2020 (December, 2020).

  9. A. Mushtaq, A. Noreen, A. Farooq, “Numerical Simulations for the Toda Lattices Hamiltonian system: Higher Order Symplectic Illustrative Perspective”,  PLOS ONE, Vol 14 (04), 1--22 (April, 2019).  Click here


  10.  Z. Afzal, M. Y. Bhatti, N. Amin, A. Mushtaq,C. Y. Jung, "Effect of Alpha-Type External Inputon Annihilation of Self-Sustained Activity in a Two PopulationNeural Field Model" IEEE Access, Vol 7 (01), 108411--108418 (December, 2019). Click here

  11. A. Mushtaq, M. Asif Farooq, R. Sharif and M. Razzaq."The impact of variable fluid properties on hydromagnetic boundary layer and heat transfer flows over an exponentially stretching sheet" Journal of Physics Communications 2019 ;Volum 3.(9) s. 095005.  Click here


  12. Razia, A. Farooq, A. Mushtaq, “MHD Study of Variable Fluid Properties and Their Impact on Nanofluid over an Exponentially Stretching Sheet”, Journal of Nanofluid, Vol 8, 1249—1259 (June, 2019)

  13. A. Mushtaq, Geometric Numerical Integration with HOMsPy,   IAENG Int. Journal  of Applied Mathematics (IJAM), Vol. 45(4), pp-383-391, (14 November, 2015)

  14. A. Mushtaq,  A. Kværnø, K. Olaussen, Scientific Computing with HOMsPy,  Lecture Notes in Engineering and Computer Science, Vol I, Hong Kong  (2015).

  15. A. Mushtaq,  T. Kvamsdal, K. Olaussen, Python Classes for Numerical Solution of PDEs, Lecture Notes in Engineering and Computer Science, Vol II, Hong Kong  (2015).

  16. A. Mushtaq, K. Olaussen, Automatic code generator for higher order integrators, Computer Physics Communications (CPC), Vol 185 (5), 1461-1472 (May 2014).

  17. A. Mushtaq, A. Kværnø, K. Olaussen, “Higher-Order Geometric Integrators for a Class of Hamiltonian Systems”, International Journal of Geometric Methods in Modern Physics (IGJMMP), Vol 11 (1), 1450009-1-20 (2014).

  18. A. Mushtaq, A. Kværnø, K. Olaussen, Systematic Improvement of Splitting Methods for the Hamilton Equations, Proceedings of the World Congress on Engineering, Vol 1, London (2012).

  19. A. Mushtaq, A. Noreen, I. Øverbø, K. Olaussen, Very-high-precision solutions of a class of Schrödinger type equations, Computer Physics Communications, Vol 182, 1810- 1813 (2011).

  20. A. Rasheed, A. Mushtaq, Numerical Analysis of the Flight Condition at the Alta Airport, Norway, Aviation, Vol 18, No. 3 (September, 2014).

 

REPORTS/THESIS:


  1. Asif Mushtaq, “Effective Project Work of the Course MA:2501 Numerical Methods in Groups”

     (For University-level Mathematics Teaching course). Trondheim Norway: Universitetet i Agdar and NTNU (February, 2017)

  2. Asif Mushtaq,  Higher Order Integrators for Hamilton´s Equations: Modified symplectic algorithms, Department of mathematical scineces, NTNU, Trondheim, ISBN 978-82-326-0541-5

  3. Asif Mushtaq,  Some finite difference methods for elliptic equations, Department of mathematics, Government College University (GCU) Lahore Pakistan.

  4. Asif Mushtaq, Trond Kvamsdal,  Statistical Analysis of Wind speed data, SINTEF A26262, SINTEF ICT, June 2014, Trondhei ISBN: 978-82-14-05358-6.

 


SCIENTIFIC TALKS:


  1. A. Mushtaq, Modified integrators,  Norway-Czech workshop, Brno University of Science and Technology, Brno Czech Republic  (15-22 November, 2015).

  2. A. Mushtaq,  Automatic Code generator for Hamilton´s Equations,  Symposium talk in Theoretical Physics Department, NTNU, Trondheim (15-10-2015).

  3. A. Mushtaq, Higher order integrators for Hamilton´s equations: Modified Symplectic Algorithms, Ph.D thesis presentation, NTNU, Trondheim (14 November, 2014)

  4. A. Mushtaq, Stochasitic differential equations with Jumps, Trial lecture talk for the Ph.D defence, NTNU, Trondheim (14 November, 2014)

  5. A. Mushtaq,  Statistical Analysis Windmast data from Bessaker wind farm, Seminar talk in SINTEF ICT, 27 May 2014, Trondheim.

  6. A. Mushtaq, Scientific Computing with HOMsPy: Higher Order(Symplectic) methods in Python, World Congress on Engineering (WCE2015), IAENG International Association of Engineers ; Hong Kong; 2015-03-18--2015-03-20.

  7. A. Mushtaq,  Higher order splitting methods, BIT Circus 2012 Numerical Mathematics and Computational Science, Copenhagen Denmark; 2012-08-23 - 2012-08-24.

  8. A. Mushtaq, Higher order splitting methods for a class of Hamiltonian equations, International Conference on Numerical Solution of Differential and Differential-Algebraic Equations (NUMDIFF-13), Martin-Luther-University Halle-Wittenberg (Germany); 2012-09-10 - 2012-09-14.

  9. A. Mushtaq, Systematic Improvement of Splitting Methods for the Hamilton Equations, World Congress of Engineering (WCE 2012), IAENG International Association of Engineers; London; 2012-07-04 - 2012-07-07.


 POSTER PRESENTATIONS:


  1. Asif Mushtaq,  A. Rasheed. T. Kvamsdal, M. Tabib. Statistical analysis of wind mast data from the Bassaker Wind Farm. EERA DeepWind 2015, 12th Deep Sea Offshore Wind R&D Conference, Norwegian Research Center for Offshore Wind Technology, Trondheim. 2015-02-04 - 2015-02-06.

  2. Tabib, Mandar; Rasheed, Adil; Kvamsdal, Trond; Mushtaq, Asif; Fonn, Eivind; van Opstal, Timo Matteo; Kvarving, Arne Morten. Investigation of the impact of wakes and stratification on the performance of an onshore wind farm. EERA DeepWind 2015, 12th Deep Sea Offshore Wind R&D Conference . NOWITECH (Norwegian Research Center for Offshore Wind Tech.); Trondheim. 2015-02-04 - 2015-02-06.

  3. Asif Mushtaq, Amna Noreen, Very-high-precision solutions of a class of Schrodinger equations  Conference on Computational Physics, CCP, Trondheim Norway; 2010-06-23 - 2010-06-26.

Projects

Programmering i skolen


Digital technologies have revolutionized our society; children today grow up and live in a world where they encounter

and interact with "IT" almost everywhere. The challenges posed by introducing digital education in schools,

as well as in teacher's education institutions, are manifold. One of them is the lack of programming competence

among in-service teachers as well as future educators.  To introduce formal computing education in Norway,

the Norwegian Ministry for Education and Research has initiated a national pilot project,

with computer programming as a subject in lower secondary schools. This project aims to create a programming

environment and to enhance the competence level with the student teachers at Nord University

as well as in-service school teachers.  


Seminar om programmering i skolen:


Click here to read more about the seminar



EEA Project- iTEM (Improve Teacher Education in Mathematics)


One of the aims of this project is to develop and make more intensive and  fruitful cooperation between the employees of the Department of

Mathematics and Didactics of Mathematics of the Faculty of Science, Humanities, and Education of the Technical University of Liberec and the Faculty of Education and Arts of the NORD University in Bodø in the area of improving teacher education in Mathematics in both the partner universities.


The project has two objectives in unity. The first goal of the project is to prepare teacher students to

master the challenges of the increasing diversity  of students in a class.

The second goal is to prepare teacher students to meet the challenges of using digital tools both

as a subject and as a tool for teaching.


For more information click here



HOMsPy: Higher Order (Symplectic) Methods in Python


HOMsPy is a collection of python routines designed to generate numerical code for solving the differential equations generated by a Hamiltonian.


The main goal of this program is to provide a framework for solving Hamiton´s equations by some higher-order symplectic algorithms (proposed in our work) which automatically constructs the numerical solver for each specific Hamiltonian T+V, where T is non-relativistic kinetic energy, and V is potential energy. The implemented schemes are based on our extensions of the Stormer-Verlet method. Explicit implementation of the numerical code for a specific potential may be rather laborious and erroneous to do by hand since repeated differentiation (with respect to many variables) and multiplication by lengthy expressions are often involved.


Therefore a code-generating program, HOMsPy, is written in  Python. This program takes the potential V as input, performs all necessary algebra symbolically, and automatically writes a python solver module. The program also writes a runfile example (driver module) which demonstrate how the solver module can be used



mv2me: Move to me project    (With VUTBR Brno, Czech Republic)


mv2me is a European project and collaborated between NTNU, Trondheim Norway, and VUTBR, Brno Czech Republic.

 

The main goal is to build numerical programs which simulate a set of containers being moved between discrete equilibrium positions of a static two-dimensional backbone matrix. Each container should by itself be a rigid structure and include only passive components (like f.i. a set of permanent magnets placed in fixed locations with fixed orientations). The background matrix may contain similar passive components and sensors, but also electromagnets controlled by computer logic, for levitation and propulsion. The program should allow for a certain amount of noise and systematic drift in the parameters characterizing the individual components. We want use this program to theoretically optimize the construction of containers and backbone, with the goal of realizing a physical prototype of the system at an appropriate stage.




uniCQue: Uncertainty reduction in monitoring methods for improved CO2 Quantity estimation (With Sintef Petroleum)


The work on this project has collaboration with Sintef Petroluem Trondheim Norway. This project addresses uncertainties in inversion methods used for CO2 monitoring. Various ways of quantifying uncertainties in monitoring methods and how to reduce these uncertainties for a particular site will be investigated.

The project consists of three main tasks:

1. Set up benchmark environment from existing FWI and CSEM inversion codes.

2. Develop an uncertainty quantification method for CO2 monitoring.

3. Optimize/tailor monitoring strategies for reduced uncertainty.


We suggest the constructed of two Python classes, built on routines in numpy and scipy, in particular routines in scipy.sparse, with numerical wave equation solvers in the frequency and/or time domain implemented by use of these classes and existing scipy routines. A module with example calculations and presentation of results is anyway required for debugging and testing.

This may be implemented through an additional class.


A project on wind resource assessments:       (With Sintef ICT)


Wind energy is emerging as a good competitor and alternative to the more conventional renewable energy as well as to the energy derived from fossil fuels and is considered the most economical, viable, and environmentally friendly. Europe is leading in wind energy across the world. It is rapidly growing field  in Norway where the primary source of electricity is hydro-power and hence already has a mechanism in place to deal with the uncertainty associated with it.


Wind farm installation has been increased tremendously around the world especially in Europe. In order to get optimal production from the wind turbines, the selection of the location is a very basic and vital step in the installation procedure. There are many questions to address in order to

select the best site for the wind farm. For instance:

  • is the wind speed steady most of the time?
  • what is the direction of wind mostly?
  • what should be the speed of the wind to get the optimal production from a wind turbine at that site? 
  • what should be the maximum height of wind turbine etc?


All these questions about the suitability of location can be addressed with the technical study of wind power. In this project the  analysis of the statistical characterization of data from Bessaker wind form. The statistical analysis has a great significance to the construction and operation of the wind farm. This project provides the base for validation of numerical simulation and also provides the platform for technical requirements which can be helpful to select the location for setting up a wind farm.



Compendium for Ph.D course: Mathematical approximation methods in physics (given at the Department of Physics, NTNU)


In this project a compendium for a Ph.D course of Mathematical Methods in Physics was written. The main task was to organize and clean the lecture notes,  and code the manuscript in Latex. This compendium is fully functional in department of physics in the said course.