[1] Niusha Shafiabady, M Teshnehlab and M.A. Nekoui, European Patent on Optimization Algorithm, # 1051229.1-1225
[2] Ambagtsheer, R., Shafiabady, N., Dent, E., Seiboth, C., & Beilby, J. (2020). The application of artificial intelligence (AI)
techniques to identify frailty within a residential aged care administrative data set. International Journal of Medical Informatics,
136, 104094. doi: 10.1016/j.ijmedinf.2020.104094. (Q1)
[3] Farid Motlagh, Fatimah Ibrahim, Rusdi Rashid, Niusha Shafiabady , Tahereh Seghatoleslam,
Hussain Habil (2018). Acute Effects of Methadone on EEG Power Spectrum and Event-Related Potentials among Heroin dependents,
Accepted for publication in Psychopharmacology, Springer Nature (https://doi.org/10.1007/s00213-018-5035-0 ). (Q1)
[4] Niusha Shafiabady (2018). S.T. Optimization Algorithm, IET (Institution of Engineering Technology) Swarm Intelligence: Innovation,
new algorithm and methods, Chapter 4.
[5] Niusha Shafiabady, Applications of Artificial Intelligence in Healthcare, International Conference on Advances in Biotechnology,
Keynote Speaker, (2018) (https://gavinpublishers.com/assets/conference-proceedings/Biotechnology-Keynote-2018.pdf ).
[6] Azadeh Kheirandish, Farid Motlagh, Niusha Shafiabady, Mahidzal Dahari (2017). Dynamic Fuzzy Cognitive Network Approach for
Modelling and Control of PEM Fuel Cell for Power Electric Bicycle System, Applied Energy, 202, 20-31. (Q1)
[7] 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)
[8] Azadeh Kheirandish, Farid Motlagh, Niusha Shafiabady, Mahidzal Dahari (2016). Dynamic Modelling of PEM Fuel Cell of Power
Electric Bicycle System, International Journal of Hydrogen Energy, 41(22), 9227-9718. (Q1)
[9] Niusha Shafiabady, L. H. Lee, R. Rajkumar, V. P. Kallimani, Nike Ahmad Akram, Dino Isa, (2016). Using Unsupervised Clustering
Approach to Train the Support Vector Machine for Text Classification, Neuro-Computing, 211, 4-10. (available online:
https://doi.org/10.1016/j.neucom.2015.10.137). (Q1)
[10] 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)
[11] 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)
[12] 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)
[13] 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. (Q1)
[14] 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.
[15] 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.
[16] 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.
[17] 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)
[18] 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)
[19] 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)
[20] 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.
[21] 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.
[22] Niusha Shafiabady, Mohsen fesharaki, Ida Shafiabady, (2010). A New Verified Particle Swarm Optimization Algorithm, International
Conference on Artificial Intelligence and Computational Intelligence proceeding, 1, 156-160. (DOI:10.1109/AICI.2010.39)
[23] Niusha Shafiabady, M. Fesharaki, (2010). Using AWPSO to Solve the Data Scarcity Problem in Wind Speed Prediction by Artificial
Neural Networks, International Conference on Artificial Intelligence and Computational Intelligence proceeding, ACM, 3, 42-
52. (DOI:10.1109/AICI.2010.251)
[24] Niusha Shafiabady, Mohammadali Nekoui, (2009). Optimal Evolutionary-Based Deployment of Mobile Sensor Networks, Artificial
Intelligence and Computational Intelligence, Lecture Notes in Computer Science, 5855, 563-567. (Q2)
[25] Niusha Shafiabady, Mahdi Aliyari, Mohammad Teshnehlab, (2008). The Comparison of PSO and GA Combined with LS and RLS
in Identification Using Fuzzy Gaussian Neural Networks, Industrial Electronics, IEEE, 1, 2081-2086. (DOI:
10.1109/ISIE.2009.5217923)
[26] Niusha Shafiabady, Mahdi Aliyari, Mohammad Teshnehlab, (2007). Training Matrix Parameters by Particle Swarm Optimization
Using a Fuzzy Neural Network for Identification, Intelligent and Advanced Systems conference proceeding, IEEE, 1, 188-193.
(DOI:10.1109/ICIAS.2007.4658372)
[27] Niusha Shafiabady, Mahdi Aliyari, Mohammad Teshnehlab, (2006). A Comparison of PSO and Back-propagation Combined with
LS and RLS in Identification Using Fuzzy Neural Networks, Industrial Technology conference proceeding, IEEE, 1, 1574-1579.
(DOI:10.1109/ICIT.2006.372464)
[28] Book: Think and Grow Thin, published under the pen name Karen Haize, Xlibris Publishing USA, 2014. (Hardcover ISBN
9781499074987, Paperback ISBN 9781499074994)