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Dr Inamullah Khan
Assistant Professor
Transportation and Geotechnical Engineering Department

MCE
National University of Sciences and Technology (NUST)
NUST College of Civil Engineering, Risalpur, Pakistan.
Tel : 03088493676

Specialization
Transportation Engineering

Education
PhD Transportation Engineering

Dr. Inamullah Khan is currently serving as Assistant Professor at NUST Military College of Engineering. He holds M.Sc. and Ph.D. degrees in Civil Engineering from Southwest Jiatong University, China. Dr Inam has various publications and has vast field expereince in industry.


PROFESSIONAL MEMBERSHIP

  • Professional Engineer (PE), Pakistan Engineering Council (PEC).
  • International Association for Bridge and Structural Engineering (IABSE).
  •  International Association for Bridge, Maintenance and Safety (IABMAS).
  •  American Concrete Institute (ACI).

RESEARCH AREAS  
  •  Highway Infrastructure Engineering and Pavement Management System

  •  Transportation System Evaluation and Decision Making.

  •  Traffic Safety

  •  Traffic/ Transport Operations (e.g., modelling of traffic flow and control strategies, analysis of capacity and network reliability, network design and optimization).

  •  Travel Behavior and Transport Modeling (e.g., survey design and data analysis, travel demand modeling using advanced statistical and econometric techniques).

  •  Transportation Planning and Urban Mass Transit Systems.

  • Xiaohang Zhou, Lu Cao, Inamullah Khan, Qiao Li: Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification, Shock and Vibration, Volume 2018, Article ID 3926817, 11 pages, https://doi.org/10.1155/2018/3926817.
  • Deshan Shan, Y.H. Chai, Xiaohang Zhou, Inamullah Khan: Tension Identification of Suspenders with Supplemental Dampers for Through and Half-through Arch Bridges under Construction, Journal of Structural Engineering, ASCE. (Accepted in Press, Ref: Ms. No. STENG-6026R3, Dated: 31-07-2018).
  • Inamullah Khan, Khurram Malik, Sarfraz Ali, Deshan Shan: FIR and IIR filtering and data driven stochastic subspace identification for the continuous dynamic modal parameter identification of cable stayed bridge, 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia. ISBN 978-1-138-73045-8.
  • Inamullah Khan, Deshan Shan, Qiao Li, Jie He: Continuous modal parameter identification of cable stayed bridge based on a novel improved ensemble empirical mode decomposition, Journal of Structure and Infrastructure Engineering, https://doi.org/10.1080/15732479.2017.1338734, 2017.Inamullah Khan, Deshan Shan, Qiao Li: Continuous Modal Parameter Identification of a Cable Stayed Bridge Based on Robustious Decomposition and Covariance Driven Stochastic Subspace Identification, Iranian Journal of Science & Technology, Transactions of Civil Engineering, 2016, Vol. 40, No. C1, pp. 59-72. (DOI 10.1007/s40996-016-0008-1)
  • Inamullah Khan, Deshan Shan, Qiao Li: Modal Parameter Identification of Cable Stayed Bridge Based on Exploratory Data Analysis, Archives of Civil Engineering, v 61, n 2, p 3-22, 2015. (DOI 10.1515/ace-2015-0011).
  • Inamullah Khan, Deshan Shan, Qiao Li, Jie He, Fei Long Nan: Data interpretation and continuous modal parameter identification of cable stayed bridge, Open Civil Engineering Journal, v 9, n 1, p 577-591, 2015. (Accession number:2015450151244
  • Inamullah Khan, Deshan Shan, Qiao Li, Xiaohang Zhou, Jie He: Statistical analysis and long-term operational monitoring of Sutong Bridge, Safety, Robustness and Condition Assessment of Structures, p 220-227, 2015. (Accession number: 2015210086097
  • Inamullah Khan, Deshan Shan, Qiao Li, Fei Long Nan: Temperature Effect on Continuous Modal Parameter Identification of Cable Stayed Bridge, Structural Engineering – Providing Solutions to Global Challenges, 2015. (Accepted in Press).
  • Inamullah Khan, Deshan Shan, Khurram Malik: Covariance driven subspace identification technique for continuous modal parameters identification of Sutong Bridge, Engineering for Progress, Nature and People, p 2666-2673, 2014. (Accession number: 20152100870370).
  • Inamullah Khan, Deshan Shan, A.Q Bhatti: Temperature effect analysis of viscoelastic damper and magnetorheological damper for vibration control of stayed-cable, Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014, p 2167-2175, 2014. (DOI: 10.1201/b17063-332).
  • Inamullah Khan, Deshan Shan, Qiao Li, Xiaohang Zhou: Structural Response Analysis of Long-Span Cable Stayed Bridge based on Long-Term Monitoring Data, 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, TORINO, Italy, July 1-3, 2015.
  • Inamullah Khan, Deshan Shan, Qiao Li, Jie He, Fei Long Nan: Exploratory Data Analysis and Modal Parameter identification of Cable Stayed Bridge, 6th International conference on  Innovation and Sustainability of Structures in Civil Engineering, ISISS-2015, Beijing, 26-27 July, 2015.
  • Deshan Shan, Qiao Li, Inamullah Khan, Xiaohang Zhou: A novel finite element model updating method based on substructure and response surface model, Engineering Structures, v 103, p 147-156, November 15, 2015. (DOI:10.1016/j.engstruct.2015.09.006).
  • Deshan Shan, Zhen Huang, Inamullah Khan: Modal parameters identification of combined cable-stayed suspension bridge in time-frequency domain, Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014, p 445-452, 2014.
  • Deshan Shan. Jun Dong, J.C Yang, S.X Zhang, Inamullah Khan; Zhen Huang: Application of contemporary programming techniques in health monitoring software of suspension spanning structure, Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014, p 597-604, 2014.
  • Deshan Shan, Zhen Huang, Inamullah Khan, C.Y Fu: Early damage warning of railway bridge in time-domain based on statistical learning theory, Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014.​
​​COURSES TAUGHT TO POSTGRADUATE PROGRAMMES:

  • CE- 241 Transportation Engineering-l​