dr. A. Jalalian (Athena)

Assistant Professor

About Me

Athena received her PhD in Mechanical Engineering (Manufacturing) from National University of Singapore (NUS) in 2016. She was awarded NUS research scholarship. During her PhD, she extensively researched into biomechanics of the human body specifically human spine. Her PhD thesis was titled Computational Biomechanical Modeling of Scoliosis for Surgical Correction Prediction. In this project, Athena developed a novel dynamic model for the scoliosis and developed an in-house software for surgery planning and correction prediction. She published her novel kinematic model of scoliotic spine as well as the new methods and interesting findings about the scoliotic spine behavior. One of her papers on application of data mining methods in medicine won best paper award in ”Industrial Conference on Data Mining” New York  2016. After her PhD, Athena held a Research Fellow position in Keppel-NUS Corporate Lab at the same university for two years. She designed and developed a vision based system for automatic inspection of ship hulls. Athena then joined Deakin University in Australia as a Lecturer in Mechanical Engineering. She is currently holding an Assistant Professor position in DPM at UT. 


Kinematic Model
Engineering & Materials Science
Hulls (Ship)
Medicine & Life Sciences


Athena's research interests are Human Biomechanics and its integration in design, Biomechanical modeling of human spine, VR/AR and its application in Biomechanics, and Machine Vision. 


Jalalian, A. , Arastehfar, S. , Gibson, I., Tay, F. E. H., & Liu, G. (2021). How Can Biomechanical Multibody Models of Scoliosis Be Accurate in Simulating Spine Movement Behavior While Neglecting the Changes of Spinal Length? Journal of Biomechanical Engineering, 143(8), [081004]. https://doi.org/10.1115/1.4050636
Arastehfar, S., Chew, C-M. , Jalalian, A., Gunawan, G., & Yeo, K. S. (2019). A relationship between sweep angle of flapping pectoral fins and thrust generation. Journal of mechanisms and robotics, 11(1), [011014]. https://doi.org/10.1115/1.4041697
Jalalian, A., Lu, W. F., Wong, F. S., Ahmed, S. M., & Chew, C-M. (2018). An Automatic Visual Inspection Method based on Statistical Approach for Defect Detection of Ship Hull Surfaces. In 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018 (pp. 445-450). [8560341] (IEEE International Conference on Automation Science and Engineering; Vol. 2018). IEEE Computer Society Press. https://doi.org/10.1109/COASE.2018.8560341
Jalalian, A., Tay, F. E. H., & Li, G. (2017). Mining Motion Data of Scoliotic Spine in the Coronal Plane to Predict the Spine in Lateral Bending Positions. Transactions on Machine Learning and Data Mining, 10(1), 25-39.
Jalalian, A., Tay, F. E. H. , Arastehfar, S. , Gibson, I., & Liu, G. (2017). Finding line of action of the force exerted on erect spine based on lateral bending test in personalization of scoliotic spine models. Medical and Biological Engineering and Computing, 55(4), 673-684. https://doi.org/10.1007/s11517-016-1550-5
Jalalian, A., Tay, F. E. H. , Arastehfar, S., & Liu, G. (2017). A new method to approximate load–displacement relationships of spinal motion segments for patient-specific multi-body models of scoliotic spine. Medical and Biological Engineering and Computing, 55(6), 1039-1050. https://doi.org/10.1007/s11517-016-1576-8

Google Scholar Link


Production 2

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20), room W224
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex  W224
P.O. Box 217
7500 AE Enschede
The Netherlands