Dr Mohsen Askari joined the Centre for Infrastructure Engineering (formerly the Institute for Infrastructure Engineering) in 2015 as a Postdoctoral Research Fellow. He has been also a part-time lecturer and research assistant at University of Technology Sydney (UTS) since 2013. Holding a bachelor’s and master’s degrees in Mechanical Engineering, Dr Askari completed his PhD in Structural Engineering at the Centre for Built Infrastructure Research, UTS, Australia in 2014 where he received UTS Innovation Prize for his PhD project. Also, he has been a technical program committee (TPC) member of more than 120 international conferences in the fields of mechanical engineering and computer science.
Areas of Research/Teaching Expertise
Dr Askari has 10 years' teaching experience in Engineering Mechanics, Mechanics of Solids, Strength of Materials, Structural Analysis, Structural Dynamics, Engineering Computations and Machine Dynamics.
His research interests include:
- Structural dynamics and vibration control
- Smart structures
- Online and offline structural health monitoring and damage detection
- System identification
- Data clustering
- Evolutionary algorithms
- Fuzzy and Neural Network modelling
Grants / Current Projects
Y. Li and M. Askari, ‘Modelling and Fuzzy Semi‐Active Control of Seismically‐Excited Building incorporated with Newly Developed Adaptive MRE Base Isolator’, FEIT Research Seed Funding Grants, July 2014-Dec 2014
Experimental Forward and Inverse Modelling of MR Dampers using Optimal TSK Fuzzy Scheme, M. Askari, J. Li, B. Samali, Xiaoyu. Gu, Journal of Intelligent Material Systems and Structures (in press).
Intelligent Semi-Active Control of Building-MR Damper Systems using Novel TSK-Inv and Max-Min Algorithms, M. Askari, J. Li, B. Samali, Journal of Intelligent Material Systems and Structures, (in press).
Frequency Control of Smart Base Isolation System Employing Novel Adaptive MR Elastomer Base Isolators, Xiaoyu. Gu, Y. Li, J. Li, M. Askari, Journal of Intelligent Material Systems and Structures, (in press).
Application of Kalman Filtering Methods to Online Real-Time Structural Identification, M. Askari, J. Li, B. Samali, International Journal of Structural Stability and Dynamics, vol 16, No 6, (in press)
A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification, M Askari, AHD Markazi, International Journal of Systems Science, 43 (4), 776-785.
Semi-Active LQG Control of Seismically Excited Nonlinear Buildings using Optimal Takagi-Sugeno Inverse Model of MR Dampers, M Askari, J Li, B Samali, Procedia Engineering 14, 2765-2772.
A Multi-objective Subtractive FCM Based TSK Fuzzy System with Input Selection, and Its Application to Dynamic Inverse Modelling of MR Dampers, M. Askari, J Li, B Samali, Artificial Intelligence and Soft Computing, 215-226.
Adaptive multiple forgetting factor recursive least square (AMFF-RLS) for real-time structural identification with unknown inputs, M Askari, J Li, B Samali, 7th Australasian Congress on Applied Mechanics (ACAM 7), Adelaide, December 2012.
Multi Objective Optimal Placement of Structural Control Actuators, M Askari, 6th Australasian Congress on Applied Mechanics (ACAM 6), Perth, December 2010.