Dr. Muhammad Asif Zahoor Raja
Date of Birth. 16-04-1973
Passport No. AA9598634
CNIC No.37405-1554863-1
Department of Electrical Engineering,
COMSATS Institute of Information Technology,
Attock,Campus, Attock, Pakistan
Home Address: H. No. SA-183 St. No. 8
Sadiqabad Rawalpindi, Punjab, Pakistan
Phone Mobile: +923009893800
Phone Residence: +92514451496
Phone Office: +92579316330
E-mail: [email protected]
[email protected]
[email protected]
Objectives:
Research and development work in Heuristic Computational Intelligence techniques and their application
in Social & Physical sciences, as well as, in fractional order systems in Engineering
Education:
BSc (1990-1992) F. G. Sirsyed College Rawalpindi, Punjab University Lahore, Punjab,
Pakistan
MSc Mathematic (1994-1996) Forman Christian College, Ferozepure road, Lahore,
Punjab University Lahore, Punjab, Pakistan
MSc Nuclear Engineering [1997-1999], Pakistan Institute of Engineering and Applied
Sciences Nilore, Islamabad, Pakistan
PhD (2007-2011)International Islamic University, Sector H-10, Islamabad, Pakistan
PEC Engineering Registration: No
Research Interests
The topic of PhD Studies is Heuristic Computation Techniques application to fractional order system in
engineering. Key areas of my research interest are Evolutionary Computation, Swarm Intelligence,
Fractional Calculus, Fractional differential equation. Numerical Computing, Particle swarm optimization,
Genetic Algorithm, Neural Networks, Active noise control system, Direction of arrival, Adaptive Beam
Forming, Optical Control Problems etc.
 Resume: Dr. Muhammad Asif Zahoor Raja
Publications:
Total 87: Journal published: 75, Book Chapter: 02, Conferences: 03, Journal
accepted: 07
HEC Recognized 73: Journal Impact Factor (IF): 71, ISI-Indexed: 02.
Cumulative Impact factor: 121
Google Citations = 1056, H-Index = 21, i10-index = 46
List of Publications
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Zahoor, R.M.A., Khan, J.A. and Qureshi, I.M., 2009. Evolutionary computation technique for
solving Riccati differential equation of arbitrary order. network, 16, p.18.
Raja, M.A.Z., Khan, J.A. and Qureshi, I.M., 2010, March. Evolutionary computational
intelligence in solving the fractional differential equations. In Asian Conference on Intelligent
Information and Database Systems (pp. 231-240). Springer Berlin Heidelberg.
Raja, M.A.Z., Khan, J.A. and Qureshi, I.M., 2010. A new stochastic approach for solution of
Riccati differential equation of fractional order. Annals of Mathematics and Artificial Intelligence,
60(3), pp.229-250. (ISI Impact Factor 0.893, JCR: 2009, HEC Recognized Journal # 1).
M. A. Z. Raja, J. A. Khan, and I. M. Qureshi, “Solution of fractional order system of Bagley-Torvik
equation using Evolutionary computational intelligence,” Mathematical Problems in Engineering,
vol.2011, Article ID. 765075, 18 pages, 2011. (ISI-Impact factor 1.301, JCR: 2012, HEC
Recognized Journal # 2).
M. A. Z. Raja, J. A. Khan, and I. M. Qureshi, “Heuristic computational approach using swarm
intelligence in solving fractional differential equations,” GECCO (Companion) 2010: pp. 2023-2026
2010.
R. M. A. Zahoor and I. M. Qureshi, “A Modified Least Mean Square Algorithm Using Fractional
Derivative and its Application to System Identification” European Journal of Scientific Research, Vol.
35 No. 1 pp 14-21, 2009.( ISI-Index, Impact Factor 0.2 HEC Recognized Journal # 3).
M. A. Z. Raja, I. M. Qureshi and J. A. Khan “Swarm Intelligent optimized neural networks for
solving fractional differential equations” International Journal of Innovative Computing, Information
and Control, vol. 7, no. 11, pp. 6301-6318 Nov. 2011 ( ISI Impact factor 2.93, JCR:2009, HEC
Recognized Journal # 4).
M. A. Z. Raja, J. A. Khan, and I. M. Qureshi, Swarm Intelligence Optimized neural network for
solving Fractional Order Systems of Bagley-Tervik equation, Engineering Intelligent Systems, Vol.
19, No. 1, pp. 41–51, March 2011.
M. A. Z. Raja, J. A. Khan, S. I. Ahmad, and I. M. Qureshi, “Numerical Treatment for Painlevé
Equation I Using Neural Networks and Stochastic Solvers." I. Jordanov and L.C. Jain (Eds):
Innovation in Intelligent Machines-3, SCI 442, Springer Berlin Heidelberg, 2013, pp. 103-117.
M. A. Z. Raja, J. A. Khan, S. I. Ahmad, and I. M. Qureshi, “A new stochastic technique for
Painlevé equation-I using neural network optimized with swarm intelligence,” Computational
Intelligence and neuroscience, ID 721867 Vol. 2012, page 1-10, 2012. (ISI-Impact factor 0.54, JCR:
2014, HEC Recognized Journal).
M. A. Z. Raja, S. I. Ahmad, R. Samar “Neural Network Optimized with Evolutionary Computing
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technique for Solving the 2-Dimensional Bratu Problem, Neural Computing and Applications, Vol
23, No. 7-8, pp. 2199-2210, 2013. DOI: 10.1007/s00521-012-1170-4. (ISI-Impact factor 1.103, JCR:
2012, HEC Recognized Journal # 5).
M. A. Z. Raja, S I Ahmad, “Numerical treatment for solving one-dimensional Bratu Problem
using Neural Networks, Neural Computing and Applications, 24(3-4): 549-561 (2014) DOI:
10.1007/s00521-012-1261-2. (ISI-Impact factor 1.103, JCR: 2012, HEC Recognized Journal # 6).
J. A. Khan, M. A. Z. Raja, and I. M. Qureshi, “Stochastic Computational Approach for Complex
Non-linear Ordinary Differential Equations,” Chin. Phys. Lett. vol. 28, no. 2, pp. 020206-09, 2011.
(ISI-Impact factor 1.077, JCR:2010, HEC Recognized Journal # 7).
J. A. Khan, M. A. Z. Raja, and I. M. Qureshi, “Swarm Intelligence for the problems of Non-linear
differential Equations and its application to Well Known Wessinger’s Equation”, European Journal
of Scientific Research vol. 34, no. 4, pp. 514-525, 2009.(ISI-Index, Impact factor 0.2, HEC
Recognized Journal # 8).
A. Junaid, M. A. Z. Raja, and I. M. Qureshi, “Evolutionary Computing Approach for the solution
of initial value Problems in ordinary Differential equations” World Academic of Science Engineering
and Technology, vol. 55, pp 578-581, 2009.
J. A. Khan, M. A. Z. Raja, and I. M. Qureshi, "Swarm Intelligence for the Solution of Problems in
Differential Equations," icecs, pp.141-147, 2009 Second International Conference on Environmental
and Computer Science, 2009.
J. A. Khan, M. A. Z. Raja and I. M. Qureshi, “Hybrid Evolutionary Computational Approach:
Application to van der Pol Oscillator,” International journal of physical sciences,6(31), pp. 7247 –
7261, 2011, DOI: 10.5897/IJPS11.922 (ISI-Impact factor 0.54, JCR: 2010, HEC Recognized
Journal # 9).
J. A. Khan, M. A. Z. Raja, I. M. Qureshi, “An Application of Evolutionary computational
Technique to Non-Linear Singular System arising in Polytrophic and Isothermal sphere,” Global
Journal of Research in Engineering: Numerical, 12(1):9-15.
J. A. Khan, M. A. Z. Raja and I. M. Qureshi, “Novel Approach for van der Pol Oscillator on the
continuous Time Domain”, Chin. Phys. Lett. 28 110205 doi:10.1088/0256-307X/28/11/110205. (ISIImpact factor 1.077, JCR: 2010, HEC Recognized Journal # 10).
A. Jalil, A. Manzar, R. A. Zahoor, I. M. Qureshi, “Rotation-Invariant Features for Texture Image
Classification,” IEEE International Conference on Engineering of Intelligent System, pp. 42-45,
2006.
J. A. Khan, M. A. Z. Raja and I. M. Qureshi, “Numerical treatment of Nonlinear Emden-Fowler
Equation using Stochastic Technique,” Annals of Mathematics and Artificial Intelligence, Vol. 63, No
2. pp-185-207, 2011. (ISI-Impact factor 0.48, JCR: 2013, HEC Recognized Journal #11).
F. Zaman, I. M. Qureshi, A. Naveed, J. A. Khan, and R. M. A. Zahoor, “Amplitude and
Directional of Arrival Estimation: Comparison Between Different Techniques” Progress In
Electromagnetic Research B, Vol. 39, 319-335, 2012.
Raja, M.A.Z., Shah, F.H., Alaidarous, E.S. and Syam, M.I., 2016. Design of bio-inspired heuristic
technique integrated with interior-point algorithm to analyze the dynamics of heartbeat model.
Applied Soft Computing, DOI: 10.1016/j.asoc.2016.10.009 (ISI-Impact factor 2.854 JCR:2015, ISIindex, HEC Recognized Journal # 12)
J. A. Khan and M. A. Z. Raja, Artificial Intelligence based Solver for Governing Model of
Radioactivity Cooling, Self-gravitating Clouds and Clusters of Galaxies, Research Journal of
Applied Sciences, Engineering and Technology, 6(03): 450-456, 2013. ( ISI-index, HEC Recognized
Journal # 13)
J. A, Khan and M. A. Z. Raja and M Ayaz, A new Computational approach for Antenna Array
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Signal Processing in Mobile Communication, Sci. Int. (Lahore), 25(2), 203‐213, 2013. ( ISI-index,
HEC Recognized Journal # 14)
N. I. Chaudhary, M. A. Z. Raja, J. A. Khan and M. S. Aslam, “Identification of input nonlinear
control auto-regressive systems using fractional signal processing approach,” The Scientific
World
Journal,
Vol
2013
(2013),
Article
ID
467276,
13
pages
http://dx.doi.org/10.1155/2013/467276 (ISI Impact Factor 1.73, JCR: 2012, HEC Recognized
Journal # 15).
M. A. Z. Raja, “Unsupervised neural networks for solving Troesch’s problem,” Chin. Phys. B Vol.
23, No. 1 (2014) 018903. ( ISI Impact Factor 1.369, JCR: 2013, HEC Recognized Journal # 16)
M. A. Z. Raja, R. Samar, “Numerical Treatment for nonlinear MHD Jeffery-Hamel problem
using Neural Networks Optimized with Interior Point Algorithm,” Neurocomputing 124 (2014):
178-193. DOI: 10.1016/j.neucom.2013.07.013. (ISI Impact Factor 2.10, JCR: 2013, HEC
Recognized Journal # 17).
M. A. Z. Raja, R. Samar, “Numerical treatment of nonlinear MHD Jeffery-Hamel problems using
stochastic algorithms,” Computers and Fluids, 91 (2014), 28-46. (ISI Impact Factor 1.56, JCR: 2013,
HEC Recognized Journal # 18).
M. A. Z. Raja, “Solution of the one-dimensional Bratu equation arising in the fuel ignition model
using ANN optimised with PSO and SQP,” Connection Science, vol. 26, no. 3, pp. 195–214, 2014,
DOI:10.1080/09540091.2014.907555 ( ISI Impact Factor 0.701, JCR: 2012, HEC Recognized
Journal # 19 ).
M. S. Aslam, M. A. Z. Raja, A new adaptive strategy to improve online secondary path modeling
in active noise control systems using fractional signal processing approach, Signal Processing
Journal, Vol. 107, February 2015, Pages 433–443, DOI: 10.1016/j.sigpro.2014.04.012. (ISI Impact
Factor 2.25, JCR: 2013, HEC Recognized Journal # 20).
Z. Sabir, M. A. Z. Raja "Numeric treatment of nonlinear second order multi-point boundary
value problems using ANN, GAs and sequential quadratic programming technique." International
Journal of industrial Engineering Computations, vol. 5, no. 3, pp. 431–442, 2014 DOI:
10.5267/j.ijiec.2014.4.001.
M. A. Z. Raja, “Stochastic numerical techniques for solving Troesch’s Problem,” Information
Sciences, 279 (2014) 860–873, DOI:10.1016/j.ins.2014.04.036. ( ISI Impact Factor 3.89, JCR: 2013,
HEC Recognized Journal # 21).
M. A. Z. Raja and N. I. Chaudhary, “Adaptive strategies for Parameter estimation of BoxJenkins systems,” IET signal processing, vol. 8, No. 9, pp. 968-980, 2014. DOI: 10.1049/ietspr.2013.0438. ( ISI Impact Factor 0.691, JCR: 2013, HEC Recognized Journal # 22).
M. A. Z. Raja, R. Samar, and M. M. Rashidi, “Application of three Unsupervised Neural
Network Models to singular nonlinear BVP of transformed 2D Bratu equation,” Neural Computing
and Applications (2014) 25:1585–1601, DOI :10.1007/s00521-014-1641-x. (ISI-Impact factor 1.76,
JCR: 2013, HEC Recognized Journal # 23).
S. M. Shah, R. Samar, M. A. Z. Raja, and J. A. Chambers, Fractional Normalized Filtered-error
Least Mean Squares Algorithm for Application in Active Noise Control Systems, Electronics
Letters 50 (14), 973-975, 2014. DOI: 10.1049/el.2014.1275. (ISI-Impact factor 1.06, JCR: 2013,
HEC Recognized Journal # 24).
M. A. Z. Raja and N. I. Chaudhary, “Two-Stage Fractional Least Mean Square Identification
Algorithm for Parameter Estimation of CARMA Systems,” Signal Processing, 107, February
2015, Pages 327-339. DOI: 10.1016/j.sigpro.2014.06.015. (ISI Impact Factor 2.25, JCR: 2013,
HEC Recognized Journal # 25).
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M. A. Z. Raja, Siraj-ul-Islam Ahmad and Raza Samar “Solution of the 2-dimensional Bratu
problem using neural network, swarm intelligence and sequential quadratic programming, Neural
Computing and applications, (2014) 25:1723–1739, DOI: 10.1007/s00521-014-1664-3 (ISI-Impact
factor 1.76, JCR: 2013, HEC Recognized Journal # 26).
M. A. Z. Raja, Z. Sabir, N. Mahmood, Eman S Alaidarous and Junaid Ali Khan “Design of
Stochastic solvers based on variants of Genetic Algorithms for solving Nonlinear Equations, Neural
Computing and Applications, Volume 26, Issue 1, pp 1-23, January 2015. DOI: 10.1007/s00521014-1676-z (ISI-Impact factor 1.76, JCR: 2013, HEC Recognized Journal # 27).
M. A. Z. Raja, “Numerical Treatment for Boundary Value Problems of Pantograph Functional
Differential Equation using Computational Intelligence Algorithms,” Applied Soft Computing,
Volume 24, November 2014, Pages 806–821, DOI: 10.1016/j.asoc.2014.08.055. (ISI-Impact factor
2.679, JCR: 2013, HEC Recognized Journal # 28).
M. A. Z. Raja, J. A. Khan, D. Behloul, Tahira Haroon, A M Siddiqui, and R. Samar “Exactly
Satisfying Initial Conditions Neural Network Models for Numerical Treatment of First Painlevé
Equation" Applied Soft Computing, Volume 26 January 2015, Pages 244–256, DOI:
10.1016/j.asoc.2014.10.009. (ISI-Impact factor 2.679, JCR: 2013, HEC Recognized Journal # 29).
Naveed Ishtiaq Chaudhary and M. A. Z. Raja, “Identification of Hammerstein nonlinear ARMAX
systems using nonlinear adaptive algorithms,” Nonlinear Dynamics, Volume 79, Issue 2, pp 13851397, , January 2015. DOI: 10.1007/s11071-014-1748-8. (ISI-Impact factor 2.413, JCR: 2013, HEC
Recognized Journal # 30).
M. A. Z. Raja, J. A. Khan, and T. Haroon Stochastic Numerical Treatment for Thin Film Flow of Third
Grade Fluid using Unsupervised Neural Networks” J. Taiwan Inst. Chem. Eng. Volume 48, March
2015, Pages 26-39. DOI: 10.1016/j.jtice.2014.10.018. (ISI-Impact factor 2.637, JCR: 2013, HEC
Recognized Journal # 31).
M. A. Z. Raja, M. A. Manzar, R. Samar “An Efficient Computational Intelligence Approach for
solving Fractional order Riccati Equations using ANN and SQP”. Applied Mathematical Modeling 39
(2015), pp. 3075-3093. DOI:10.1016/j.apm.2014.11.024. (ISI-Impact factor 2.158, JCR: 2013, HEC
Recognized Journal # 32).
M. A. Z. Raja, J. A. Khan, S. M. Shah, D Bhahoal, and R. Samar “Comparison of three
unsupervised neural network models for first Painlevé Transcendent” Neural Computing and
applications, vol. 26, no. 5 pp. 1055-1071, 2015, DOI: 10.1007/s00521-014-1774-y. (ISI-Impact
factor 1.763, JCR: 2013, HEC Recognized Journal # 33).
J. A. Khan, M. A. Z. Raja,, M. I. Syam, S. A. K. Tanoli, and S. E. Awan, Design and application of
nature inspired computing approach for non-linear stiff oscillatory problems, Neural Computing
and Application, vol. 26, no. 7, pp. 1763-1780, .October 2015, DOI: 10.1007/s00521-015-1841-z.
(ISI-Impact factor 1.57, JCR: 2013, HEC Recognized Journal # 34).
N. I. Chaudhary and M. A. Z. Raja, “Design of fractional adaptive strategy for input nonlinear
Box-Jenkins systems.” Signal Processing, vol. 116, November 2015, Pages 141–151,
10.1016/j.sigpro.2015.04.015. (ISI-Impact factor 2.243, JCR: 2013, HEC Recognized Journal #
35).
Raja, M.A.Z., Samar, R., Haroon, T. and Shah, S.M., 2015. Unsupervised neural network model
optimized with evolutionary computations for solving variants of nonlinear MHD Jeffery-Hamel
problem. Applied Mathematics and Mechanics, 36(12), pp.1611-1638. DOI :10.1007/s10483-0152000-6. (ISI-Impact factor 1.112, JCR: 2014, HEC Recognized Journal # 36).
N. I. Chaudhary, M. A. Z. Raja, Anees ur Rehmand Khan, Design of Modified fractional adaptive
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strategies for Hammerstein nonlinear Control Autoregressive systems. DOI: 10.1007/s11071015-2279-7, Nonlinear Dynamics, (ISI-Impact factor 2.842, JCR: 2014, HEC Recognized Journal
# 37).
J. A. Khan, M. A. Z. Raja, M. M. Rashidi, M. I. Syam and A. M. Wazwaz, “Nature-inspired
computing approach for solving non-linear singular Emden–Fowler problem arising in
electromagnetic theory,” Connection Sciences, Volume: 27, Issue: 04, pages 377–396, (2015).
http://dx.doi.org/10.1080/09540091.2015.1092499. (ISI-Impact factor 0.842, JCR: 2014, HEC
Recognized Journal # 38).
Raja, M.A.Z., Farooq, U., Chaudhary, N.I. and Wazwaz, A.M., 2016. Stochastic numerical solver
for nanofluidic problems containing multi-walled carbon nanotubes. Applied Soft Computing, 38,
pp.561-586. DOI: 10.1016/j.asoc.2015.10.015. (ISI-Impact factor 2.81, JCR: 2014, HEC
Recognized Journal # 39).
M. A. Z. Raja, Fiaz Hussain Shah, Abdul Ahad, Najeeb Alam Khan, Design of Bio-inspired
Computational Intelligence Technique for solving Steady Thin Film Flow of Johnson-Segalman
fluid on vertical cylinder for Drainage Problem, Tiawan Institute of Chemical Engineering, Volume
60 March 2016, Pages 59–75. DOI: 10.1016/j.jtice.2015.10.020. Accepted 06-10-2015 (ISI-Impact
factor 3.00, JCR: 2014, HEC Recognized Journal # 40).
Raja, M.A.Z., Khan, J.A., Chaudhary, N.I. and Shivanian, E., 2016. Reliable numerical treatment
of nonlinear singular Flierl–Petviashivili equations for unbounded domain using ANN, GAs, and
SQP. Applied Soft Computing, 38, pp.617-636, DOI: 10.1016/j.asoc.2015.10.017. (ISI-Impact factor
2.81, JCR: 2014, HEC Recognized Journal # 41).
M. Fateh, A. Zameer, Nasir M. Mirza, Sakander M. Mirza, M. A. Z. Raja, Biologically Inspired
Computing Framework for Solving Two-Point Boundary Value Problems using Differential
Evolution, Neural Computing and Applications, (ISI-Impact factor 1.57, JCR: 2013, HEC
Recognized Journal # 42).
M. A. Z. Raja, R. Samar, and Eman S Alaidarous, Elyas Shivanian Bio-inspired computing
platform for reliable solution of Bratu-type equations arising in the modeling of electrically
conducting solids, Applied Mathematical Modeling, DOI: 10.1016/j.apm.2016.01.034. Accepted
19-01-2016 (ISI-Impact factor 2.25, JCR: 2015, HEC Recognized Journal # 43).
M. A. Z. Raja, I Ahmed, I. Khan, M. I. Syam, and A. M. Wazwaz, Neuro-Heuristic Computational
Intelligence for solving nonlinear Pantograph Systems, Frontiers of Information Technology &
Electronic Engineering , Accepted 17-02-2016, In-press(ISI-Impact factor 0.41, JCR: 2015, HEC
Recognized Journal # 44)
Raja, M.A.Z., Khan, M.A.R., Mahmood, T., Farooq, U. and Chaudhary, N.I., 2016. Design of bioinspired computing technique for nanofluidics based on nonlinear Jeffery–Hamel flow equations.
Canadian Journal of Physics, 94(5), pp.474-489. DOI: 10.1139/cjp-2015-0440 (ISI-Impact factor
0.96, JCR: 2015, HEC Recognized Journal # 45).
Syed M. Shah, R. Samar, N. M. Khan, M. A. Z. Raja, Fractional order adaptive signal processing
strategies for active noise control systems, Nonlinear dynamics, 28-03-2016 Nonlinear Dynamics,
(ISI-Impact factor 2.842, JCR: 2014, HEC Recognized Journal # 46).
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Iftikhar Ahmad, M. A. Z. Raja, Muhammad Bilal, Farooq Ashraf, Neural Network Methods to
solve the Lane-Emden type Equations Arsing in Thermodynamic studies of the spherical gas cloud
model, Neural Computing and Applications, 2016, DOI: 10.1007/s00521-016-2400-y. (ISI-Impact
factor 1.57, JCR: 2013, HEC Recognized Journal # 47).
M. A. Z. Raja, R. Samar, M. A. Manzar, S. M. Shah, Design of Unsupervised Fractional Neural
Network Model Optimized with Interior point algorithm for solving Bagley-Torvik Equation,
Computer and Mathematics in Simulations, DOI: 10.1016/j.matcom.2016.08.002. Accepted on
08-08-2016, (ISI-Impact factor 1.12, JCR: 2016, HEC Recognized Journal # 48).
Raja, M.A.Z., Shah, F.H., Tariq, M. and Ahmad, I., 2016. Design of artificial neural network
models optimized with sequential quadratic programming to study the dynamics of nonlinear
Troesch’s problem arising in plasma physics. Neural Computing and Applications, pp.1-27. DOI:
10.1007/s00521-016-2530-2, Accepted 08-08-2016, (ISI-Impact factor 1.49, JCR: 2016, HEC
Recognized Journal # 49).
M. A. Z. Raja, Aneela Zameer, Adiqa Kausar Kiani , Azam Shahzad, and Muhammad Abdul
Rehman Khan, Design of Nature Inspired Computing Algorithms for solving Systems of
Nonlinear Equations Arising in Different Physical Models, Neural Computing and Applications,
Accepted 08-08-2016. (ISI-Impact factor 1.49, JCR: 2016, HEC Recognized Journal # 50).
Ahmad, I., Ahmad, F., Raja, M.A.Z., Ilyas, H., Anwar, N. and Azad, Z., Intelligent computing to
solve fifth-order boundary value problem arising in induction motor models. Neural Computing
and Applications, pp.1-18. (ISI-Impact factor 1.492, JCR: 2016, HEC Recognized Journal # 51).
N. I. Chaudhary, M. A. Z. Raja, N Ahmed and M. S. Aslam, “A novel generalization of Voterra
least mean square algorithm to fractional order with application to system identification, Neural
Computing and Applications, (ISI-Impact factor 1.492, JCR: 2016, HEC Recognized Journal #
52).
Raja, M.A.Z., Zameer, A., Khan, A.U. and Wazwaz, A.M., 2016. A new numerical approach to
solve Thomas–Fermi model of an atom using bio-inspired heuristics integrated with sequential
quadratic programming. SpringerPlus, 5(1), p.1400. (ISI-Impact factor 0.98, JCR: 2016, HEC
Recognized Journal # 53).
Masood, Z., Majeed, K., Samar, R. and Raja, M.A.Z., 2017. Design of Mexican Hat
Wavelet neural networks for solving Bratu type nonlinear systems. Neurocomputing, 221,
pp.1-14. DOI: 10.1016/j.neucom.2016.08.079. (ISI-Impact factor 2.39, JCR: 2016, HEC
Recognized Journal # 54).
Aslam, M.S., Chaudhary, N.I. and Raja, M.A.Z., 2017. A sliding-window approximation-based
fractional adaptive strategy for Hammerstein nonlinear ARMAX systems. Nonlinear
Dynamics, 87(1), pp.519-533. DOI: 10.1007/s11071-016-3058-9 (ISI-Impact factor 3.00, JCR: 2016,
HEC Recognized Journal # 55).
Raja, M.A.Z., Niazi, S.A. and Butt, S.A., 2017. An intelligent computing technique to analyze the
vibrational dynamics of rotating electrical machine. Neurocomputing, 219, pp.280-299. DOI:
10.1016/j.neucom.2016.09.032 (ISI-Impact factor 2.39, JCR: 2016, HEC Recognized Journal #
56).
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Ahmad, I., Raja, M.A.Z., Bilal, M. and Ashraf, F., 2016. Bio-inspired computational heuristics to
study Lane–Emden systems arising in astrophysics model. SpringerPlus, 5(1), p.1866. (ISI-Impact
factor 0.98, JCR: 2016, HEC Recognized Journal # 57).
M. A. Z. Raja, Ammara Mehmood, Abbas Ali Shah, N I. Chaudhary, and M. S. Aslam, Bioinspired computational heuristics for parameter estimation of non-linear Hammerstein controlled
auto regressive system, accepted in Neural Computing and Application on 24-10-16, (ISI-Impact
factor 1.492, JCR: 2016, HEC Recognized Journal # 58)
Khan, N.A., Khan, S., Shaikh, A. and Raja, M.A.Z., 2016. MHD Stagnation Point Flow of
Nanofluids Over an Off Centered Rotating Disk in a Porous Medium via Haar Wavelet. Journal of
Nanofluids, 5(3), pp.444-458.
M. A. Z. Raja, M. S. Aslam, N. I. Chaudhary, Wasim Ullah Khan, Active noise control systems
with secondary path modeling, Frontier of Information Technology and Electronic Engineering,
accepted 21-11-2016 (ISI-Impact factor 0.41, JCR: 2015, HEC Recognized Journal # 59).
Abdul Majeed Wazwaz, M. A. Z. Raja and Muhammad Ibrahem Syam, 2017 Reliable numerical
treatment for solving boundary value problems of pantograph delay differential equation,
Romanian Reports on Physics, 69(1):1-15, in-press (ISI-Impact factor 1.371, JCR: 2015, HEC
Recognized Journal # 60).
N. I. Chaudhary; S. Zubair, M. A. Z. Raja, Design of momentum LMS adaptive strategy for
parameter estimation of Hammerstein controlled autoregressive systems, Neural Computing and
Applications, 2016, DOI: 10.1007/s00521-016-2762-1. (ISI-Impact factor 1.492, JCR: 2015, HEC
Recognized Journal # 61).
Raja, M.A.Z., Kiani, A.K., Shehzad, A. and Zameer, A., 2016. Memetic computing
through bio-inspired heuristics integration with sequential quadratic programming for
nonlinear systems arising in different physical models. SpringerPlus, 5(1), p.2063. DOI
10.1186/s40064-016-3750-8. (ISI-Impact factor 0.98, JCR: 2016, HEC Recognized Journal # 62).
Syed M. Shah, R. Samar, N. M. Khan, M. A. Z. Raja, Design of Fractional-order Variants of
Complex LMS and NLMS Algorithms for Adaptive Channel Equalization, Nonlinear dynamics,
Dec-2016 (ISI-Impact factor 3.00, JCR: 2016, HEC Recognized Journal # 63).
M. A. Z. Raja, A. Mehmood, S. A. Naizi, and S. M. Shah, Computational Intelligence Methodology
for the Analysis of RC circuit Modelled with Nonlinear Differential Order System, Neural
Computing and Application, 2016 in-press. (ISI-Impact factor 1.492, JCR: 2015, HEC Recognized
Journal # 64).
Zameer, A., Arshad, J., Khan, A. and Raja, M.A.Z., 2017. Intelligent and robust prediction of short
term wind power using genetic programming based ensemble of neural networks. Energy
Conversion and Management, 134, pp.361-372. (ISI-Impact factor 4.801, JCR: 2015, HEC
Recognized Journal # 65).
N. I. Chaudhary, S. Zubair, M. A. Z. Raja, a new computing approach for power signal modeling
using fractional adaptive algorithms Accepted in ISA Transaction, 2017 (ISI-Impact factor 2.60,
JCR: 2015, HEC Recognized Journal # 66).
Khalid Majeed, Zaheer Masood, R. Samar, M. A. Z. Raja, A Genetic Algorithm Optimized
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[82]
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Morlet Wavelet Artificial Neural Network to Study the Dynamics of nonlinear Troesch's System,
accepted 22-03-2017, Applied Soft Computing journal, (ISI-Impact factor 2.85, JCR: 2015, HEC
Recognized Journal # 67).
M. A. Z. Raja, Fiaz Hussain Shah and Muhammad Ibrahim Syam, Intelligent computing approach
to solve the nonlinear Van der Pol system for heartbeat model, Neural computing and
Application, 2017 in-press. (ISI-Impact factor 1.492, JCR: 2015, HEC Recognized Journal # 68).
Zafar-ur-Rehman Chouhdry, Khalid M. Hasan, M. A. Z. Raja, “A Hybrid NM-PS Technique with
Search Space Reduction Strategy for Economic Load Dispatch of Thermal Generating Units with
Valve Point Loading Effect”, Neural Computing and Applications, in press 2017 (ISI-Impact factor
1.492, JCR: 2015, HEC Recognized Journal # 69).
Iftikhar Ahmad, M. A. Z. Raja et. al. Heuristic computational intelligence approach to solve
nonlinear multiple singularity problem of sixth Painle\'{v}e equation, Neural Computing and
Applications, 2017 in-press. (ISI-Impact factor 1.492, JCR: 2015, HEC Recognized Journal # 70).
Sadia Lohdi, Muhammad Anwaar Manzar, M. A. Z. Raja, Fractional Neural Network Models for
Nonlinear Riccati Systems, Neural Computing and Applications, 2017 in-press. (ISI-Impact factor
1.492, JCR: 2015, HEC Recognized Journal # 71).
M. A. Z. Raja, Shahid Azad, Syed Muslim Shah, Bio-inspired computational heuristics to study
the boundary layer flow of the Falkner-Scan system with mass transfer and wall stretching,
accepted in Applied Soft Computing (ISI-Impact factor 2.857, JCR: 2015, HEC Recognized
Journal # 72).
M. A. Z. Raja, Usman Ahmed, Aneela Zameer, Adiqa Kausar Kiani and Naveed Ishtiaq
Chaudhary. Design of bio-inspired computational intelligence algorithms integrated with
Sequential Quadratic Programing and Interior-Point Methods for Reliable Treatment of Economic
Load Dispatch problem, Neural Computing and Applications, (ISI-Impact factor 1.492, JCR: 2015,
HEC Recognized Journal # 73).
Sadiq Akbar, M. A. Z. Raja, Fawad Zaman, Tariq Mehmood, Muhammad Abdul Rehman Khan,
Design of Bio-inspired Heuristic Techniques Hybridized with Sequential Quadratic Programming
for Joint Parameters Estimation of Electromagnetic Plane Waves, Accepted in Wireless Personal
Communication, 17-04-2117 (ISI-Impact factor 0.64, JCR: 2015, HEC Recognized Journal # 74).
List of Submissions
[1]
[2]
[3]
[4]
N. I. Chaudhary and M. A. Z. Raja, Novel design of fractional Volterra LMS with application to
parameter identification of Hammerstein controlled autoregressive systems, Chaos Soliton
Fractal, submitted 24-01-2017, with editor
N. I. Chaudhary and M. A. Z. Raja, Design of fractional Volterra LMS algorithm for non-linear
Hammerstein Box-Jenkins systems, IET signal processing, submitted 15-03-2016, Under review,
Revision requested, Revision submitted under review
M. A. Z. Raja, M. S. Aslam, N. I. Chaudhary, M. T. Akhtar, M. Nawaz, and S. M. Shah, Design of
Nature Inspired Computing methods for Active Noise Control Systems, Neural computing and
applications Submitted on 09-11-2016, Under Review, Revision requested, Editor assignment
pending
N. I. Chaudhary, S. Zubair, M. S. Aslam, M. A. Z. Raja, Novel Design of Sign Fractional Least
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[5]
[6]
[8]
[9]
[10]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
Mean Square with application to nonlinear Hammerstein systems, Science China Information
Sciences 15-11-2016, Current status: under review
N. I. Chaudhary, Mateen Ahmed, Syed Zubair, M. A. Z. Raja, Design of normalized fractional
adaptive algorithms for parameter estimation of control autoregressive autoregressive systems,
Neural Computing and Applications, 23-01-2017, Submitted
M. A. Z. Raja, Tuqeer Ahmed, Syed Muslim Shah, Intelligent computing strategy to analyze the
dynamics of convective heat transfer in MHD slip flow over stretching surface involving carbon
nanotubes," Journal of the Taiwan Institute of Chemical Engineers, 12-09-2016, under review 2909-2016, Revision Requested 26-04-2017
Syed Muslim Shah, Raza Samar, and M. A. Z. Raja. Fractional Signal Processing Based Novel
Approach to Decision Feedback Equalization to Mitigate the Effects of ISI, Nonlinear dynamics,
submitted 24-04-2017, Reviewers assigned
M. A. Z. Raja, Eman S Alaidarous, Z. Sabir and J. A. khan, “Unsupervised neural networks to solve a
nonlinear heat conduction model of the human head” Connection Sciences, Submitted (21-04-2015),
Status, Under Review.
M. A. Z. Raja, Saleem Abbas, Muhammad Ibrahim Syam, Abdul Majid Wazwaz, Design of
unsupervised neuro-heuristic model for solving nonlinear singularly perturbed boundary value
problems, submitted Applied Soft Computing, submitted 20-06-2015, Revision Submitted 22-022016, under review
M. A. Z. Raja, Junaid Ali Khan, Aneela Zameer, Najeeb Alam Khan, and Muhammad Anwaar
Manzar Design of three Artificial Neural Networks Models to study nonlinear singular FlierlPetviashivili Systems, Neural Computing and Applications, Springer Links, (12-11`-2016), Revision
submitted, Under Review.
Aneela Jaafery, Mohsin Majeed, Sikander M Mirza, M. A. Z. Raja, Asifullah Khan and Nasir M
Mirza, Bio-inspired heuristics for layer thickness optimization in multilayer piezoelectric
transducer for broadband structures, submitted in Soft Computing, Under review.
Muhammed I. Syam, Mahammad M. Syam, M. A. Z. Raja, An Accurate Method for Solving the
Nonlinear Jeffery-Hamel Flow Problem, Nonlinear Analysis: Real World Applications, submitted
20-02-2017
M. A. Z. Raja, Kiran Asma, Muhammad Saeed Aslam, Neuro-Heuristic Intelligent Computing
Approach for solving the Model of HIV Infection of CD4+T Cells, International journal of
Biomathematic, submitted 18-02-2016, Under Review, Current Status: Revision requested.
Annum Munir, Muhammad Anwaar Manzar, Najeeb Alam Khan, M. A. Z. Raja, Intelligent
computing approach to analyze the dynamics of wire coating with Oldroyd 8-constant fluid,
Neural Computing and Application, Editor Assignment Pending, Under Review, Revision
requested.
M. A. Z. Raja, Jabran Mehmood, Zulqurnain Sabir, Aliasghar Kazemi Nasab and Muhammad
Anwaar Manzar, Numerical Solution of Doubly Singular Nonlinear Systems using Neural
Networks based Integrated Intelligent Computing, Neural Computing and Applications, Editor
Assignment Pending, Revision Requested, Revision Submitted
M. A. Z. Raja, Muhammad Awais, Iftikhar Ahmad, Zahoor Shah, Muhammad Anwaar Manzar,
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Neuro-Heuristic Computational Intelligence Algorithm for Nonlinear Painlevé II Differential
Equation, Applied mathematics and mechanics, Editor Assignment Pending.
[19-21] As a Co-author with Iftikhar Ahmed in International Journal of Computation Mathematics and
Computation (Topic Painleve second), Neural Computing and Applications (Eye shape model),
Applied Soft Computing (Differential difference system, Current status Under Review)
List of Working Papers
[1]
“Neural networks optimized with Differential Evolution for Bagley-Torvik Fractional differential
equation. (Results are in process)
“Neural networks optimized with Differential Evolution for Riccati Fractional differential
equation. (Results are in process)
“A novel Computing Approach based on Neural Networks Optimized with Interior point
algorithm for solving fractional differention equations, (Results are in process).
“A novel Computing Approach based on Neural Networks Optimized with Sequential Quadratic
Programming algorithm for solving fractional differention equations, (Results are in process).
“A novel Computing Approach based on Neural Networks Optimized with differential
evolutions for solving fractional differention equations, (Results are in process)
“A novel Computing Approach based on Neural Networks Optimized with Sequential Quadratic
Programming algorithm for solving FraklerSkan Equations, (Results are in process).
“A novel Computing Approach based on Neural Networks Optimized with differential
evolutions for solving Blusius Equation, (Results are in process)
“A novel Computing Approach based on Neural Networks Optimized with evolutionary
computation for solving thin film flow Problems, (Results are in process)
“Memetic computing for active noise control systems,” (Result are in progress).
[2]
[3]
[4]
[5]
[6]
[7]
[8]
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Experience:
1.
National Engineering and Scientific Commission (NESCOM), P.O. Box # 2801, Islamabad Pakistan
a.
Assistant Manager from (01-10-1999) to (30-11-2000)
b.
Manager from (01-12-2000) to (30-11-2007), Highest Administrative Post: HoD (Data
Networks)
c.
General Manager (01-12-2007) to (11-12-2012), Highest Administrative Post: Project
Director (Engineering Management)
2.
Presently working as Assistant Professor from December 2012 to date, Department of Electrical
Engineering, COMSATS Institute of Information Technology, Attock Campus, Attock, Pakistan
3.
Teaching Experience
a.
Federal Urdu University of Arts, Science and Technology (1. Signal and Systems, 2.
Electronic Circuits, 3. Nuclear Physics) Six Month + Six Month
b.
Adjunct Faculty: Department of Electrical Engineering, Islamic International University,
Islamabad, Pakistan. (Involve in Board of Faculty meeting, Seminars, Conferences,
Research and its related projects), Nov. 2011 to date. One MS Electrical Engineering
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student already supervised, one PhD student under supervision
c.
Department of Electrical Engineering, COMSATS Institute of Information Technology,
Attock, Pakistan (Teaching “Stochastic Process 2 time”, Optimization Technique 1 time,
Advance Digital Signal Processing, 1 time to MS Electrical Engineering, Research and
related Projects) 12-12-12 to date. Supervised 12 students, and supervising 9 MS
Students.
i. Wasim Ullah Completed 2014
ii. Muhammad Nawaz Completed 2014
iii. Suleman Mughal Completed 2014
iv. Ammara Mehmood completed on 23-01-15
v. Tariq Mehmood on 27-01-15
vi. Fiaz Hussain Shah Completed on 23-01-15
vii. Muhammad Saeed Butt on 27-01-15
viii. Muhammad Anees Naizi on 27-01-15
ix. Nasir Ahmad Completed 21-01-15
x. Umer Iqbal Completed 21-01-15
xi. Abdul Ahad Completed 21-01-15
xii. Usman Ali Completed 21-01-15
xiii. Fasial Altaf Completed 21-01-16
xiv. Abbas Ali Shah Completed 21-01-16
xv. Zaheer Ahmed Completed 21-01-16
xvi. Muhammd Qasier Completed Nov. 2016
xvii. Rabia Bibi in Completed 21-01-16
xviii. Abid Jamil in Completed Nov. 2016
xix. Shahab in progress
xx. Karin Asma Completed 21-06-2016
d.
Adjunct Faculty: Department of Mathematics, Preston University Islamabad, Pakistan,
(18 student already supervised M.Phil Mathematics Students, and 2 are currently under
supervision),
i. Zalqurnain Sabir Topic Completed 2013
ii. Zahoor Shah Topic Completed 2013
iii. Imtiaz Khan Completed 2013
iv. Riffaqat Hussain Topic Completed 2013
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v. Arshad Khan Completed 2013
vi. Tariq Mehmood Topic Completed 2014
vii. Jabran Mehmood Completed 2014
viii. Hafiz Muhammad Umer Completed 2014
ix. Nasir Mehmood Completed 2014
x. Umair Farooq Topic Completed 2014
xi. Saleem Abbas Completed 2014
xii. Sobia Pervaiz Completed 2014
xiii. Inum Munir Completed 2014
xiv. Azam Shahzad Completed 2014
xv. Shahid Azad Completed Spring 2016
xvi. Izhar Ahmed Completed Spring 2016
xvii. Sheryar Ahmed Completed Spring 2016
xviii. Kashif Mehmood, Completed Spring 2016
xix. Mateen Awan in progress
xx. Haqeem Ahmed in progress
e.
Act as a co-supervisor for 15 M. Phil Mathematics Students University of Gujrat,
Pakistan
f.
Supervised 4 M. Phil physics students in Riffa International University, Islamabad,
Pakistan.
i. Aziz Ullah Khan Naizi, Completed 14-09-2015
ii. Muhammad Tariq, Completed 14-09-2015
iii. Nouman, Completed 14-09-2015
iv. Tuqeer, Completed 23-08-2016
g.
Currently supervising 2 M. Phil Physics students in Allama Iqbal open University,
Islamabad, Pakistan.
i. Affsar Khan, in progress
ii. Adeel Ahmed in progress
h.
Currently supervising 1 MS Electrical Engineering Student Bharia University, Islamabad,
Pakistan.
i. Rahella Jamal, completed oct 2016
i.
Currently supervising 1 MS Electrical Engineering Lahore University, Islamabad, Pakistan.
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i. Mateen, in progress
Language Ability:

Can speak and understand English, Urdu and Punjabi.
Interested Courses
Computational Physics
Advance Engineering Mathematics
Optimization Techniques (Teach 3 time MS(EE))
Numerical Methods in Engineering
Signals and Systems (Teach 1 time MSc (CS))
Digital Signal Processing (Teach 1 time BS(EE))
Advance Digital Signal Processing (Teach 1 time MS(EE))
Linear Systems and Control
Neural Networks I
Probability Methods for Engineers (Teach 5 time BS(EE))
Stochastic Processes (Teach 5 time MS(EE))
Numerical Analysis (Teach 3 time, MSc (Maths))
Mechanics (Teach 2 time, MSc (Maths))
Circuit Electronics (Teach 1 time, MSC(Phys))
Nuclear Physics (Teach 1 time, MSC(Phys))
Member of Research Groups
Computational Fluid Dynamics
Advances in Signal Processing
Bioinformatics
Application of Artificial Intelligence Techniques
Fractional order systems
References:
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 Resume: Dr. Muhammad AsifZahoor Raja
1. Prof. Dr. Mohammad Mehdi Rashidi, Mechanical Engineering Department,
University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao
Tong University, Shanghai, Peoples Republic of China.
Email: [email protected]
2. Prof. Dr. Djilali Behloul, Department of Computer Science, USTHB, BP32 El Alia,
Bab Ezzouar, 16111 Algiers, Algeria
Email [email protected], [email protected]
3. Prof. Dr. Raza Samar, Department of Electrical Engineering, Mohammad Ali
Jinnah University, Islamabad, Pakistan, and also
Member, NESCOM, Islamabad, Pakistan,
Email: [email protected] , [email protected]
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