
Name: Ahmad Mirabadi
Present Position: Assistant professor
Department : School of Railway Engineering
Tel: +98-21- 77240162
E-mail: mirabadi iust.ac.ir
Education and Qualifications
- PhD in Mechatronics , “ Fault Tolerant Train Navigation Using A Multisensor Integration Approach” , University of Sheffield, Dept. of Automatic Control, 1995-2000
- MSc in Mechatronics and Optical Engineering, Loughborough University, Uk, 1994-1995
- BSc in Manufacturing Engineering, AmirKabir University of Tehran (Poly Technique), 1988-1992
Teaching Experiences
Postgrad .
- Fault Detection and Identification, School of railway Engineering, IUST
- Fault tolerant systems, School of railway Engineering, IUST
- Railway Control and signaling, School of railway Engineering , IUST
- Systems Safety and Reliability, School of Railway Engineering, IUST
- Mechatronics Engineering Dept. Of Mech. Eng., IUST
- Principle of Reliability in railway systems, Advance railway research center, UK
- Train navigation for moving block signaling systems, Advance railway research center, University of Sheffield, UK
Undergrad.
- Priciples of electricity and electronics, School of railway Engineering
- Measurement Systems, School of railway Engineering
- Railway Control and signaling, School of Railway Engineering
- Automatic Control Systems School of Railway Engineering
Publications : Journal Papers (ISI)
[1] Mirabadi A., Schmid F., Mort N., "Multisensor Integration Methods in the Development of a Fault-Tolerant Train Navigation System", The Journal of Navigation, Cambridge, UK, pp. 385-398, Vol. 56 , 2003. (Abstract)
[2] Mirabadi A., Bemani M., "Automatic generation and verification of Railway Interlocking Control Tables using FSM and NuSMV", Transportation Problems, Poland, pp. 103-110, Vol. 4, 2009. (Abstract)
[3] Mirabadi A., Khodadadi A., "Slip and Slide Detection and compensation for Odometery System, Using Adaptive Fuzzy KF" , Sensor Letters, USA, pp. 84-90, Vol. 7, 2009. (Abstract)
[4] Khodadadi A., Mirabadi A., Moshiri B., "Assessment of Particle Filter and KF for estimating velocity Using Odometery System", Sensor Review, USA, 204-209, Vol. 30, 2010. (Abstract)
[5] Mirabadi A., Sharifian S., "Appl. of association rules in Iranian Railways accident data analysis", Safety Science, USA, 2010. (Abstract)
[6] Mirabadi A., Najafi M., "Energy Management System in Hybrid Trains Using Fuzzy Control Systems", Journal of JRRT, IMeche, UK , 2010
[7] Mirabadi A., Najafi M., "Fuzzy Based Energy Management Algorithm For Hybrid Train Systems", JMechE, Malaysia, 2010. (Abstract)
[8] Lesan J., Mirabadi A., "Signaling System Selection Based on a Full Fuzzy Hierarchical-TOPSIS algorithm", IJMSEM, USA, 2010. (Abstract)
[9] Zamani A., Mirabadi A., Schmid F., “Applying Metamodeling Techniques in the Design and Optimization of Train Wheel Detector”, Sensor Review, Vol 32, 2012
[10] Zamani A., Mirabadi A., “Optimization of Sensor Orientation in Railway Wheel Detector, Using Kriging Method”, Journal of electromagnetic analysis and applications, Vol. 3, 2011
[11] Bolbolamiri, N., Sanai M. S., Mirabadi A., “Time-Domain Stator Current Condition Monitoring: Analyzing Point Failures Detection by Kolmogorov-Smirnov (K-S) Test, World Academy of Science, Engineering & Technology; Issue 66, p1049, June 2012
[12] Zamani A., Mirabadi A., “Railway wheel detector in the presence of eddy current brakes”, Journal of Applied computational electromagnetics society, vol. 28, No. 1, pp 77-84, 2013
[13] Kebriaee M., Sandidzade M., Mirabadi A., "Component sizing and intelligent energy management of a heavy hybrid electric vehicle based on a real drive cycle", Proceedings Of the Institute of Mechanical Engineering, Part F, Journal Of Rail And Rapid Transit, 2017
[14] Abbasnezhad S., Mirabadi A., "Predicting the failure of railway point machines by using Autoregressive Integrated Moving Average and Autoregressive-Kalman methods", Proceedings Of the Institute of Mechanical Engineering, Part F, Journal Of Rail And Rapid Transit, Vol 233, 2017
[15]Hossaini K., Mirabadi A., Yousefi, S., Mostaghim P., Nasr A., “Design Development and Test of a Practical Train Energy Optimization using GA0PSO Algorithm”, Journal Of Railway Research, pp 61-70, 2017
[16] Hossaini N., Mirabadi A., Gholami Manesh F., “A Hybrid Fault Diagnosis Scheme for Railway Point Machines by motor Current Signal Analysis”, Journal Of Rail and rapid Transit, 2021
[17] Adeli H., Mirabadi A., Yousefi S., Fazel S., "Novel Approach for Reducing Train Wheel and Brake Shoe Wear Using Speed Profile Optimization", Transportation Research Record, 2024
Projects
- Condition monitoring of traction motors, using acoustic signals
- condition monitoring of electro motors, using motor current signal
- Design and development of an Interlocking system for Iranian railway, 2017-2022
- Design and development of Point Machine condition monitoring system for APRIN station 2018 - 2021
- Design and development of Fuel Consumption Optimization for railway locomotives, 2013-2018
- Design and development of Locomotive consition Monitoring System, 2014-2018
- Analysis of affecting factors on fuel consumption of the locomotives 2011- 2012
- Assessment of hybrid technology for shunting locomotives 2009-2010
- Condition monitoring for railway switch machines 2009-2014
- Design of the signalling and control systems for the Tehran-Parand Railway line 2008-2010
- Studying the EMI test tools and methods for the signalling and control systems 2008-2009
- Feasibility study of the Bafgh-Bandar electrification 2008-2009
- Design of the railway management and control centre for Raja Railway 2007-2008
- Feasibility Study of the Moving Block Control and Signalling for Iranian railway 2006-2007
- Studying the RAMS parameters in Electronic Interlocking Systems 2006-2008
- Assessment of FBG fibre optic sensors for railway applications 2004-2005
- Design and development of GPS based tracking for transportation industry 2001-2004
Some of the recent Supervised Research projects
- Train speed optimization for wear reduction of the train |
- Train speed optimization, for energy consumption reduction purposes |
- obstacle detection in railway lines, using image processing and machine learning |
- Obstacle detection in level crossings, using image processing techniques |
- driver drawsinss detection, using image processing techniques |
- Design and development of interlocking systems using B method |
- reliability asessment of railway stations |
- safety analysis of interlocking systems, using Dynamic Fault tree analysis (DFTA) |
- Verification of interlocking control table using NuSMV |
- Design and development of Cab signaling System
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- Hybrid system analysis for urban railway |
- Design and development of point monitoring system, using fuzzy based algorithms |
- Assessment of automatic control systems on railway headway and capacity |
- Modelling and simulation of axle counters for overhead line EMI analysis |
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