Faculty Tayyab Zafar

Tayyab Zafar

Assistant Professor
  • College of Electrical & Mechanical Engineering
  • 0515444442
Summary

Tayyab Zafar has completed his PhD from UESTC in mechanical engineering. His research interests include fault detection in mechatronics, intelligent systems and machine learning

Academic Background
PhD (Reliability Based Design Optimization) University of Electronic Science and Technology of China September 15, 2017 - June 23, 2020
Honours and Awards
Publications
A Hybrid Approach for Noise Reduction in Acoustic Signal of Machining Process Using Neural Networks and ARMA Model December 01, 2021 Tayyab Zafar, Khurram Kamal, Senthan Mathavan, Ghulam Hussain, Mohammed Alkahtani, Fahad M. Alqahtani, Mohamed K. Aboudaif , Sensors - Volume 21(23), Article Number 8023
Failure classification in natural gas pipe-lines using artificial intelligence: A case study November 30, 2021 Abdul Manan, Khurram Kamal, Tahir Abdul Hussain Ratlamwala, Muhammad Fahad Sheikh, Abdul Ghani Abro, Tayyab Zafar, Energy Reports - Volume 7, Pages 7640-7647
Reliability-Based Design Optimization Using Transfer Learning September 28, 2021 Tayyab Zafar, Zhonglai Wang, Shui Yu, Book on Reliability-Based Analysis and Design of Structures and Infrastructure - 1st Edition, Chapter 30, Pages 479-493
An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm December 01, 2020 Tayyab Zafar, Yanwei Zhang, Zhonglai Wang, Computer Methods in Applied Mechanics and Engineering - Volume 372, Article Number 113386
An efficient method for time-dependent reliability prediction using domain adaptation September 15, 2020 Tayyab Zafar, Zhonglai Wang, Structural and Multidisciplinary Optimization - Pages 1-18
Time-dependent reliability prediction using transfer learning July 01, 2020 Tayyab Zafar, Zhonglai Wang, Structural and Multidisciplinary Optimization - Volume 62, Pages 147–158
A time-dependent probabilistic fatigue analysis method considering stochastic loadings and strength degradation July 01, 2018 Su Chunbo, Yu Shui, Zhonglai Wang, Tayyab Zafar, Advances in Mechanical Engineering - Volume 10, Issue 7, Pages 1-9
Performance assessment of Kinect as a sensor for pothole imaging and metrology January 01, 2018 Khurram Kamal, Senthan Mathavan, Tayyab Zafar, Imran Moazzam, Ahsan Ali, S. Usman Ahmad, Mujib Rahman, International Journal of Pavement Engineering - Volume 19, Issue 7, Pages 565-576
Wood defects classification using laws texture energy measures and supervised learning approach October 02, 2017 Khurram Kamal, Rizwan Qayyum, Senthan Mathavan, Tayyab Zafar, Advanced Engineering Informatics - Volume 34, Pages 125-135
A neural network based approach for background noise reduction in airborne acoustic emission of a machining process July 03, 2017 Tayyab Zafar, Khurram Kamal, Z. Sheikh, S. Mathavan, U. Ali, H. Hashmi, Journal of Mechanical Science and Technology - Volume 31 (7), Pages 3171-3182
Conferences
Dense Vehicular Ad hoc Network UAV Assisted Cooperative Routing Scheme March 03, 2023 - March 05, 2023 Adnan Shujah, Tayyab Zafar, Sadia Ayub, Sheikh Muhammad Muneeb Hamid Rasheed, Arsal Bilal, 2023 International Conference on Robotics and Automation in Industry (ICRAI)
Prediction of fatigue crack growth rate in aircraft aluminum alloys using radial basis function neural network. March 29, 2018 - March 31, 2018 Hassaan Bin Younis, Muhammad Fahad Sheikh, Amir Hamza, Tayyab Zafar, Khurram Kamal, 2018 10th International Conference on Advanced Computational Intelligence (ICACI)
An Inspection Approach for Casting Defects Detection Using Image Segmentation May 19, 2017 - May 21, 2017 Faisal Riaz, Rizwan Qayyum, Khurram Kamal, Tayyab Zafar, International Conference on Mechanical, System and Control Engineering
Wood Defects Classification using GLCM Based Features and PSO Trained Neural Network September 07, 2016 - September 08, 2016 R. Qayyum, Khurram Kamal, Tayyab Zafar, S. Mathavan, 22nd IEEE International Conference on Automation and Computing
Control of a Ball-Bot using a PSO Trained neural network April 28, 2016 - April 30, 2016 M. Shaheer, H. Hashmi, S. Khan, M. Atif, Z. Shabbir, A. Ali, Khurram Kamal, Tayyab Zafar, A. Awan, 2nd International Conference on Control, Automation and Robotics
Stabilization of 3D pavement images for pothole metrology using the Kalman filter September 15, 2015 - September 18, 2015 Abdullah Rasheed, Khurram Kamal, Tayyab Zafar, Senthan Mathavan, Mujib Rahman, 18th IEEE International Conference on Intelligent Transportation Systems
Tool Health Monitoring for Wood Milling Process using Airborne Acoustic Emission August 24, 2015 - August 28, 2015 Tayyab Zafar, Khurram Kamal, Z. Sheikh, S. Mathavan, A. Jehanghir, U. Ali, 11th Annual IEEE International Conference on Automation Science and Engineering
A Bio Inspired UAV Model based on Corvus Splendens August 05, 2015 - August 07, 2015 A. Jameel, S. Khalid, S.Khalid, Khurram Kamal, Anas Aqeel, S. Mathavan, T. Awais, Tayyab Zafar, 7th IEEE International Conference on Fluid Power and Mechatroncis
Stabilization of an Aerial Robot for Indoor Environments using a Vision-based Approach August 05, 2015 - August 07, 2015 Akash Kumar, Khurram Kamal, Tayyab Zafar, M. Abbas Kararvi, Hassaan Afzal, Asad Naseer, Senthan Mathavan, 7th IEEE International Conference on Fluid Power and Mechatroncis
Tool Health Monitoring using Airborne Acoustic Emission and a PSO-optimized Neural Network June 24, 2015 - June 26, 2015 Tayyab Zafar, Khurram Kamal, R Kumar, Z Sheikh, S Mathavan, U. Ali, 2nd IEEE International Conference on Cybernetics