Niusha Shafi Abady


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Education and Training

PGCHE University of Nottingham 2015
PhD IAU 2011
MSc IAU 2005
BSc Tehran University 1997

 

Research interests:

  • Artificial Intelligence
  • Optimization
  • Prediction
  • Decision-making

 

Grants Collaboration

  • eScience from MOSTI Awarded in 2013 for unsupervised real time prediction of faults RM200,000.
    Status : Completed.
  • Technofund from MOSTI Awarded for supercapacitor fabrication and use in renewable energy systems based on solar PV RM6,500,000.
    Status : Ongoing.
  • eScience from MOSTI for Integrating Supercapacitor into Battery Renewable Energy System to Reduce Overall Operational Cost Using Genetic Algorithms and Support Vector Machines for Rural Electrification RM160,000
    Status: Awarded in September 2015

 

Post-Graduate Supervision Collaborations

  • Dynamic Modelling of PEM Fuel Cell, PhD
  • Pipeline Corrosion Detection and Prediction, PhD
  • Rural Energy Enhancement and Electrification, PhD
  • Allocating Mathematical Expressions to Visual Speech Signals, PhD
  • Hybrid Battery, Supercapacitor, solar energy management system, PhD
  • The comparison of self-organizing maps with neural networks, MSc
  • Adaptive control of inverted pendulum, MSc

 

Recent Publications (2011-now)

  • Niusha Shafiabady and et al., European Patent on Optimization Algorithm, # 1051229.1-1225
  • Azadeh Kheirandish, Niusha Shafiabady, Mahidzal Dahari, Dino Isa (2016). Modelling of Commercial Proton Exchange Membrane Fuel Cell Using Support Vector Machine, International Journal of Hydrogen Energy, 41(26), 11351–11358. (Q1)
  • Niusha Shafiabady, L. H. Lee, R. Rajkumar, V. P. Kallimani, Nike Ahmad Akram, Dino Isa, (2015). Using Unsupervised Clustering Approach to Train the Support Vector Machine for Text Classification, Accepted for publication in Neuro-Computing (Elsevier) journal. (Q1)
  • M. H. Sadaghiani, Niusha Shafiabady, Dino Isa, (2015). A Novel Approach for Allocating Mathematical Expressions to Visual Speech Signals, Sage Open Scopus Thomson Reuters’ journal, 1-11. (DOI: 1177/2158244015611937)
  • Niusha Shafiabady, Nima Vakilian, Dino Isa (2015). An Adaptive Controller Using Radial Basis Function Neural Network with Reinforcement Learning, Communications on Applied Electronics, 1, 7-13. (DOI: 10.5120/cae-1581)
  • Niusha Shafiabady, Dino Isa, J Michael Menke, Nima Vakilian, (2015). An Adaptive Incremental Fuzzy TSK Controller Combined with Evolutionary Optimization, Lecture Notes in Electrical Engineering, 349, 747-758. (DOI: 10.1007/978-3-662-47200-2_79) (Q2)
  • Chia Yen Yee, Niusha Shafiabady, Dino Isa, (2015). A Load Predictive Energy Management System for Supercapacitor-Battery Hybrid Energy Storage System in Solar Application using the Support Vector Machine, Applied Energy, 137, 588-602. (Doi: 10.1016/j.apenergy.2014.09.026) (Q1)
  • Nik Ahmad Akram, Niusha Shafiabady, Dino Isa, (2014). Genetic Algorithm as Quadratic Programming Solver, International journal of Research in Computer Engineering and Electronics, 3 (3), 1-5. (www.ijrcee.org/index.php/ijrcee/article/view/133/180)
  • Chia Yen Yee, Niusha Shafiabady, Dino Isa, (2014). Optimal Sizing Supercapacitor-battery in Solar applications using the Genetic Algorithm, International Journal of Robotics and Mechatronics, (1) 11, 44-52. (ojs.unsysdigital.com/index.php/ijrm/article/view/85)
  • Niusha Shafiabady, Dino Isa, MA Nima Vakilian, (2014). Determining Maximum Load Carrying Capacity of 2-link Mechanical Manipulators Using GA and PSO Algorithms, IOSR Journal of Engineering, 4 (4), 47-57. (iosrjen.org/Papers/vol4_issue4%20(part-4)/H04444757.pdf)
  • Niusha Shafiabady, Dino Isa, MA Nima Vakilian, (2014). The Proposal of Two New Recurrent Radial Basis Function Neural Networks, International Journal of Computer Applications, 92 (3), 32-39. (http://adsabs.harvard.edu/abs/2014IJCA...92c..32S)
  • Nik Ahmad Akram, Niusha Shafiabady, Dino Isa, (2013). Using Neural Networks as Pipeline Defect Classifiers, International Conference on IT Convergence and Security proceedings, IEEE, 1, 1-4. (DOI:10.1109/ICITCS.2013.6717894)
  • Niusha Shafiabady, Mohammad Teshnehlab, Mohammad Ali Nekoui, (2012). Some Applications of S.T. (Shafiabady-Teshnehlab) Evolutionary Optimization Algorithm, International Journal of Innovative Computing Information and Control, 8 (2), 1299-1312. (Q1)
  • Niusha Shafiabady, Mohammad Teshnehlab, Mohammad Ali Nekoui, (2011). S.T. (Shafiabady-Teshnehlab) Evolutionary Optimization Algorithm, International Journal of Intelligent Information Processing, 2 (3), 73-82. (www.globalcis.org/ijiip/ppl/IJIIP_008_201109_vol2_3.pdf)
  • Niusha Shafiabady, Mohammad Teshnehlab, Mohammad Ali Nekoui, (2011). Applying S.T. (Shafiabady-Teshnehlab) Evolutionary Optimization Algorithm to Solve Constraint Optimization Problems”, International Journal of Intelligent Information Processing, 2 (4), 51-56. (www.aicit.org/IJIIP/ppl/006_IJIIP.pdf)

 

Book

  • Think and Grow Thin, published under the pen name Karen Haize, Xlibris Publishing USA, 2014. (Hardcover ISBN 9781499074987, Paperback  ISBN 9781499074994)
 

MS ISO/IEC 17025
TESTING
SAMM NO.650