about the Employee
Muhammad Sohaib
Designation:

Assistant Professor

Area of Interest:

Fault Detection, Isolation, and Recovery

  • md.sohaib@lgu.edu.pk
  • Lahore
  • Pakistan

Journal Paper

  • F. Piltan, A. E. Prosvirin, M. Sohaib, B. Saldivar, and J.-M. Kim ,CA (2020) "An SVM-Based Neural Adaptive Variable Structure Observer for Fault Diagnosis and Fault-Tolerant Control of a Robot Manipulator" "Applied Sciences",ISSN: ISSN 2076-3417, Volume: 10, Issue: 4, Pages: 1344,
  • Sohaib, Muhammad & Kim, Jongmyon ,PA (2019) "Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions" "IEEE Transactions on Instrumentation and Measurement",ISSN: ISSN: 1557-9662, Volume: 69, Issue: 6, Pages: 3334 - 3347,
  • M. Sohaib and J.-M. Kim ,PA (2019) "Data Driven Leakage Detection and Classification of a Boiler Tube," "Applied Sciences",ISSN: ISSN: 1557-9662, Volume: 9, Issue: 12, Pages: 2450,
  • T. B. Quy, S. Muhammad, and J.-M. Kim ,CA (2019) "A Reliable Acoustic EMISSION Based Technique for the Detection of a Small Leak in a Pipeline System" "Energies",ISSN: ISSN 1996-1073, Volume: 12, Issue: 8, Pages: 1472,
  • M. Sohaib, M. Islam, J. Kim, D.-C. Jeon, and J.-M. Kim, ,PA (2019) "Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions" "Applied Sciences",ISSN: ISSN 2076-3417, Volume: 9, Issue: 1, Pages: 196,
  • M. Islam, M. Sohaib, J. Kim, and J.-M. Kim ,CA (2019) "Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods" "Sensors",ISSN: ISSN 1424-8220, Volume: 18, Issue: 12, Pages: 4379,
  • V. Tra, B.-P. Duong, J.-Y. Kim, M. Sohaib, and J.-M. Kim ,CA (2019) "Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features," "Entropy",ISSN: ISSN 1099-4300, Volume: 21, Issue: 2, Pages: 145,

Conference Paper

  • M. Sohaib and J.-M. Kim , International Conference on Electrical Engineering , 2018 Hierarchical Radial Basis Function based Multiclass Support Vector Machines and A Hybrid Feature Pool for Bearings Fault Diagnosis
  • M. Sohaib and J.-M. Kim , The Engineering and Arts Society in Korea , 2017 A Deep Neural Network and A Hybrid Feature Pool for Bearing Fault Diagnosis,
  • M. Hasan, Junayed, D. Appana, Kumar, M. Sohaib, and K. Jong-Myon , International Forum on Strategic Technology (IFOST - 2017) , 2017 Automated Feature Extraction for detecting Brain Tumors in Magnetic Resonance Imaging using a Genetic Algorithm

Qualification

  • PhD Computer Engineering , University of Ulsan , South Korea.
  • MSc Computer Systems Engineering , University of Engineering and Technology, Peshawar , Pakistan.
  • Bsc Computer Systems Engineering , University of Engineering and Technology, Peshawar , Pakistan.

Experience

  • Desiganation: Lecturer December 2013 to January 2016
    ,Department: Computer Science , Superior Group of Colleges (University Campus) .
  • Desiganation: Assistant Professor September 2019 to Present
    ,Department: Computer Science , Lahore Garrison University .

Books

  • Muhammad Sohaib, Shiza Mushtaq, Jia Uddin () "Vision, Sensing and Analytics: Integrative Approaches" , , ,

Work shop

Research Funding

join with teacher md.sohaib@lgu.edu.pk