Computational-Intelligence

List of Publications

  • S.A. Malik, I.M.Qureshi, S. Badshah, “Numerical investigation of nonlinear power-law fin type problem using hybrid heuristic computation”, 3rd International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET 2017), Johor Bahru, Malaysia, April 2017.
  • Z Muhammad, N Saxena, IM Qureshi, CW Ahn,” Hybrid Artificial Bee Colony Algorithm for an Energy Efficient Internet of Things based on Wireless Sensor Network”. IETE Technical Review 34 (sup1), 39-51.
  • A Farooq, A Riaz, BR Alyeai, I.M.Qureshi, “Velocity Control of a Wheelchair Using IMC-PID and IMC-PID Hybridized with Neural Network”.
  • Inam Ullah Khan , Ijaz Mansoor Qureshi, Syed Bilal Hussain Shah, Muhammad HamzaAkhlaq, Engr.Alamgir Safi, Muhammad Asghar Khan , Engr. AnjumNazir,” Comparative Analysis and Route Optimization of State of the Art Routing Protocols”, EAI Endorsed Transactions on Mobile Communications and Applications 18(10): e4".
  • Inam Ullah Khan, Ijaz Mansoor Qureshi, Muhammad Asghar Khan, Syed Bilal Hussain Shah, Imran Shafique Ansari, Muhammad HamzaAkhlaq, "Ant Colony based Optimization techniques to mitigate Dynamic Routing Challenges in Packet based Networks", Proceedings of The International Conference on Future Networks and Distributed Systems, Amman, Jordon, June 2018 (ICFNDS 2018).
  • Book :Route Optimization with Ant Colony Optimization (ACO), Finding the shortest Path Dr Ijaz Mansoor Qureshi.(2017) LAP LAMBERT Academic Publishing, Link: https://www.amazon.com/Route-Optimization-Ant-Colony- ACO 2018.
  • Musharif Ahmed, AamerSaleem, Muhammad Zubair, Ijaz Mansoor Qureshi, and SaadZafar. Stability analysis and memetic computation using differential evolution for in-host HIV model. Accepted for BioMed Research International.
  • Ahmed, Musharif, Ijaz Mansoor Qureshi, Muhammad Aamer Saleem, Muhammad Zubair, and Saad Zafar. "Between-host HIV model: stability analysis and solution using memetic computing." Turkish Journal of Electrical Engineering & Computer Sciences 27, no. 4 (2019): 2769-2783.
  • Inam Ullah Khan, Ijaz Mansoor Qureshi, Muhammad Adnan Aziz, Tanweer Ahmad Cheema, and Syed Bilal Hussain Shah, “Smart IoT Control-Based Nature Inspired Energy Efficient Routing Protocol for Flying Ad Hoc Network (FANET)”, in IEEE Access, March 2020.
  • M. Zubair, M. A. S. Choudhry A. N. Malik and I. M. Qureshi, “Joint Channel and Data Estimation using Particle Swarm Optimization”, IEICE Transactions on Communications, ISSN: 0916-8516, Vol.E91-B, No.9, pp.3033-3036, Sep. 2008. Impact Factor 0.23
  • M. Zubair, M. A. S. Choudhry A. N. Malik and I. M. Qureshi, “Particle Swarm with Soft Decision for Multiuser detection of Synchronous Multicarrier CDMA”, TRANSACTIONS on Communications, ISSN: 0916-8516, Vol.E91-B, No.5, pp.1640-1643, May. 2008. Impact Factor 0.23
  • M. Zubair, M. A. S. Choudhry A. N. Malik and I. M. Qureshi, “Multiuser detection for Asynchronous Multicarrier CDMA using Particle Swarm Optimization”, IEICE TRANSACTIONS on Communications, ISSN: 0916-8516, Vol.E91-B, No.5, pp.1636-1639, May. 2008. Impact Factor 0.23
  • M. A. S. Choudhry, M Zubair, A. Naveed, and I. M. Qureshi, “Near Optimum Detector for DS-CDMA System using Particle Swarm Optimization,” IEICE TRANSACTIONS on Communications, ISSN: 0916-8516, Vol.E90-B,No.11,pp.3278-3282 Nov. 2007. Impact Factor 0.23
  • M. Zubair, M. A. S. Choudhry A. N. Malik and I. M. Qureshi, “Particle Swarm optimization assisted Multiuser detection along with Radial Basis Function”, IEICE TRANSACTIONS on Communications, ISSN: 0916-8516, Vol.E90-B No.7 pp.1861-1863 July 2007. Impact Factor 0.23
  • 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 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).
  • J. 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. (ISI-Impact 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, ISI-index, 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 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,” Neurocomputing124 (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 Box-Jenkins systems,” IET signal processing, vol. 8, No. 9, pp. 968-980, 2014. DOI: 10.1049/iet-spr.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).
  • 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/s00521-014-1676-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 1385-1397, , 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/s10483-015-2000-6. (ISI-Impact factor 1.112, JCR: 2014, HEC Recognized Journal # 36).
  • N. I. Chaudhary, M. A. Z. Raja, AneesurRehmand Khan, Design of Modified fractional adaptive strategies for Hammerstein nonlinear Control Autoregressive systems. DOI: 10.1007/s11071-015-2279-7, 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, ElyasShivanian 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 bio-inspired 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).
  • 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, Zameer, A., Kiani, A.K., Shehzad, A. and Khan, M.A.R., Nature-inspired computational intelligence integration with Nelder–Mead method to solve nonlinear benchmark models. Neural Computing and Applications, pp.1-25. (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).
  • 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, Bio-inspired 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 IbrahemSyam, 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 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, AneelaZameer, AdiqaKausarKiani 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, Wireless Personal Communication, 17-04-2117 (ISI-Impact factor 0.64, JCR: 2015, HEC Recognized Journal # 74).
  • M. A. Z. Raja, Jabran Mehmood, Zulqurnain Sabir, AliasgharKazemiNasab and Muhammad Anwaar Manzar, Numerical Solution of Doubly Singular Nonlinear Systems using Neural Networks based Integrated Intelligent Computing, Neural Computing and Applications, 15-06-2017 (ISI-Impact factor 2.541, JCR: 2016, HEC Recognized Journal # 75).
  • 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 (ISI-Impact factor 2.541, JCR: 2016, HEC Recognized Journal # 76).
  • Shoaib, Bilal, and Ijaz Mansoor Qureshi. "A modified fractional least mean square algorithm for chaotic and nonstationary time series prediction." Chinese Physics B 23.3 (2014): 030502. (Impact factor 1.632)
  • Shoaib, B. and Qureshi, I.M., 2014. Adaptive step-size modified fractional least mean square algorithm for chaotic time series prediction. Chinese Physics B, 23(5), p.050503. (Impact factor 1.632)
  • Shoaib, Bilal, I. M. Qureshi, I. U. Haq, and Shahid Mehmood. "Square Root Extended Kernel Recursive Least Squares Algorithm for Nonlinear Channel Equalization." Research Journal of Applied Sciences, Engineering and Technology (2013). (ISI Indexed)
  • Shoaib, B., Qureshi, I. M., Khan, S. U., & Butt, S. A. (2015, December). Kernel fractional affine projection algorithm. In Applied Informatics (Vol. 2, No. 1, pp. 1-14). Springer Berlin Heidelberg.
  • Shoaib, Bilal, Ijaz Mansoor Qureshi, SharjeelAbid Butt, Shafqat Ullah Khan, and Wasim Khan. "Adaptive step size kernel least mean square algorithm for Lorenz time series prediction." In Applied Sciences and Technology (IBCAST), 2015 12th International Bhurban Conference on, pp. 218-221. IEEE, 2015.
  • Shoaib, Bilal, Ijaz Mansoor Qureshi, SharjeelAbid Butt, Shafqat Ullah Khan, and Ihsanulhaq. "Identification Of hammerstein nonlinear controlled autoregressive system using kernel affine projection algorithm." Submitted in Canadian journal of Physics. (Impact factor 0.92).
  • Shoaib, Bilal, Ijaz Mansoor Qureshi, SharjeelAbid Butt, Shafqat Ullah Khan, and Wasim Khan. "Numerical solution of nonlinear boundary value problems in kernel space, Accepted in (IBCAST), 2016 13th International Bhurban Conference.
  • Shoaib, Bilal, Ijaz Mansoor Qureshi, Shafqat Ullah Khan, and Adnan Umer. "A new square root extended kernel recursive least squares algorithm for nonlinear time series prediction, Submitted in nonlinear dynamics. (Impact Factor 2.3).
  • S. A. Malik, I. M. Qureshi, M. Amir, A. N. Malik, and I. Haq, “Numerical solution to generalized Burgers'-Fisher equation using Exp-function method hybridized with heuristic computation,” PLoS ONE 10(3):e0121728.doi:10..1371/journal.pone.0121728, 2015.
  • S.A. Malik, A Ullah, I. M. Qureshi, and M. Amir, “Numerical solution to Duffing equation using hybrid genetic algorithm technique” MAGNT Research Report, vol. 3, no.2, pp. 21-30, 2015.
  • S. A. Malik, I. M. Qureshi, M. Amir, and I. Haq, “Nature inspired computational technique for the numerical solution of nonlinear singular boundary value problems arising in physiology,” The Scientific World Journal, vol. 2014, Article ID 837021, doi:10.1155/2014/837021, 2014.
  • S. A Malik, I. M. Qureshi, M. Amir, and I. Haq, “Numerical solution to nonlinear biochemical reaction model using hybrid polynomial basis differential evolution technique,” Advanced Studies in Biology, vol. 6, no. 3, pp. 99 – 113, 2014.
  • S. A. Malik, I. M. Qureshi, M. Amir, and A. N. Malik, “Nature inspired computational approach to solve the model for HIV infection of CD4+T cells,” Res. J. Recent Sci., vol. 3, no. 6, pp. 1-7, 2014.
  • S. A. Malik, I. M. Qureshi, M. Amir, A. N. Malik, and I. Haq, “Numerical solution to Riccati equations using evolutionary algorithm technique bridized with Bernstein polynomials,” MAGNT Research Report, vol. 2, no. 6, pp. 49-60, 2014.
  • S. A. Malik, I. M. Qureshi, M. Zubai, and M. Amir, “Hybrid heuristic computational approach to the Bratu problem,” Res. J. Recent Sci., vol. 2, no 10, pp. 1-8, 2013.
  • S. A. Malik, I. M. Qureshi, M. Zubair, and M. Amir, “Numerical solution to Troesch’s problem using hybrid heuristic computing,” J. Basic Appl. Sci. Res., vol. 3, no. 7, pp. 10-16, 2013.
  • S. A. Malik, I. M. Qureshi, M. Zubair, and I Haq, “Memetic heuristic computation for solving nonlinear singular boundary value problems arising in physiology,” Res. J. Recent Sci., vol. 2, no. 9, pp. 1-8, 2013.
  • S. A. Malik, I. M. Qureshi, M. Amir, and I. Haq, “Numerical solution of Lienard equation using hybrid heuristic computation,” World Applied Sciences Journal, vol. 28, no. 5, pp. 636-643, 2013.
  • S. A. Malik, I. M. Qureshi, M. Zubair, and I. Haq, “Solution to force-free and forced Duffing-van der pol oscillator using memetic computing,” J. Basic Appl. Sci. Res., vol. 2, no. 11, pp. 11136-11148, 2012.
  • S. A. Malik, I. M. Qureshi, M. Amir, A. N. Malik, and I. Haq, “Numerical solution to generalized Burgers'-Fisher equation using Exp-function method hybridized with heuristic computation,” PLoS ONE 10(3):e0121728.doi:10..1371/journal.pone.0121728, 2015.
  • S.A. Malik, A Ullah, I. M. Qureshi, and M. Amir, “Numerical solution to Duffing equation using hybrid genetic algorithm technique” MAGNT Research Report, vol. 3, no.2, pp. 21-30, 2015.
  • S. A. Malik, I. M. Qureshi, M. Amir, and I. Haq, “Nature inspired computational technique for the numerical solution of nonlinear singular boundary value problems arising in physiology,” The Scientific World Journal, vol. 2014, Article ID 837021, doi:10.1155/2014/837021, 2014.
  • S. A Malik, I. M. Qureshi, M. Amir, and I. Haq, “Numerical solution to nonlinear biochemical reaction model using hybrid polynomial basis differential evolution technique,” Advanced Studies in Biology, vol. 6, no. 3, pp. 99 – 113, 2014.
  • S. A. Malik, I. M. Qureshi, M. Amir, and A. N. Malik, “Nature inspired computational approach to solve the model for HIV infection of CD4+T cells,” Res. J. Recent Sci., vol. 3, no. 6, pp. 1-7, 2014.
  • S. A. Malik, I. M. Qureshi, M. Amir, A. N. Malik, and I. Haq, “Numerical solution to Riccati equations using evolutionary algorithm technique bridized with Bernstein polynomials,” MAGNT Research Report, vol. 2, no. 6, pp. 49-60, 2014.
  • S. A. Malik, I. M. Qureshi, M. Zubai, and M. Amir, “Hybrid heuristic computational approach to the Bratu problem,” Res. J. Recent Sci., vol. 2, no 10, pp. 1-8, 2013.
  • S. A. Malik, I. M. Qureshi, M. Zubair, and M. Amir, “Numerical solution to Troesch’s problem using hybrid heuristic computing,” J. Basic Appl. Sci. Res., vol. 3, no. 7, pp. 10-16, 2013.
  • S. A. Malik, I. M. Qureshi, M. Zubair, and I Haq, “Memetic heuristic computation for solving nonlinear singular boundary value problems arising in physiology,” Res. J. Recent Sci., vol. 2, no. 9, pp. 1-8, 2013.
  • S. A. Malik, I. M. Qureshi, M. Amir, and I. Haq, “Numerical solution of Lienard equation using hybrid heuristic computation,” World Applied Sciences Journal, vol. 28, no. 5, pp. 636-643, 2013.
  • S. A. Malik, I. M. Qureshi, M. Zubair, and I. Haq, “Solution to force-free and forced Duffing-van der pol oscillator using memetic computing,” J. Basic Appl. Sci. Res., vol. 2, no. 11, pp. 11136-11148, 2012.


Members

Dr. Suheel Abdullah Malik(Head)

Associate Professor

Dept. Of EE FET,
International Islamic University, Islamabad
Email: suheel.abdullah@iiu.edu.pk

Dr. Muhammad Asif Zahoor Raja

Dept. Of EE

COMSATS Institute of Information Technology,
Attock, Campus, Attock, Pakistan
Email: rasifzahoor@yahoo.com

Dr. Junaid Ali Khan

Associate Professor

Dept. of EE,
HITEC University Taxila

Engr. Muhammad Atiq ur Rehman

PhD Scholar

Department of Electrical & Computer Engineering
International Islamic university,
Islamabad, 44000 Pakistan

Dr. Muhammad Zubair

Professor

Dept.of EE,
Riphah International University, Rawalpindi
Email: zubairnet@yahoo.com

Dr. Muhammad Iqbal

Dept. of EE, FET

International Islamic university
Islamabad, 44000, Pakistan
Email: m.iqbal@iiu.edu.pk

Dr. Bilal Shoaib

Dept. of EE, FET

International Islamic university
Islamabad, 44000, Pakistan.
Email: bilal.phdee42@iiu.edu.pk

Facebook

Institute of Signals, Systems & Softcomputing

About Us

ISSS?

Institute of Signals, Systems and Soft Computing (ISSS) aims to build up the research infrastructure for the post graduate students and researchers from all over the world. ISSS aims to offer the full portfolio of expertise in diversified fields of Engineering, and Applied Sciences.

Contact Us