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
An enhanced multi-fidelity Gaussian process framework for efficient time-variant reliability analysis
February 03, 2026
Structural and Multidisciplinary Optimization - Volume:69, Issue:2, Article Number 42
Surrogate modeling for time-dependent reliability analysis of robotic manipulator trajectories
September 30, 2025
PLoS One - Volume 20(9), Article Number e0331502
Quantifying uncertainty in robotics trajectories: A time-dependent approach using polynomial chaos expansion
June 05, 2025
AIP Advances - Volume:15, Issue:6, Article Number 065107
Application of robotic manipulation for carbon fiber reinforced polymers manufacturing- A survey
October 01, 2024
Composites Part C: Open Access - Volume 15, Article Number 100503
A Hybrid Approach for Noise Reduction in Acoustic Signal of Machining Process Using Neural Networks and ARMA Model
December 01, 2021
Sensors - Volume 21(23), Article Number 8023
Failure classification in natural gas pipe-lines using artificial intelligence: A case study
November 30, 2021
Energy Reports - Volume 7, Pages 7640-7647
Reliability-Based Design Optimization Using Transfer Learning
September 28, 2021
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
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
Structural and Multidisciplinary Optimization - Pages 1-18
Time-dependent reliability prediction using transfer learning
July 01, 2020
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
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
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
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
Journal of Mechanical Science and Technology - Volume 31 (7), Pages 3171-3182
Conferences
Active Transfer Learning Gaussian Process for Reliable Trajectory Prediction of the UR5 Robotic Manipulator
August 26, 2025 - August 26, 2025
Tayyab Zafar, Amir Hamza, Keenjhar Ayoob,
5th International Conference on Advances in Mechanical Engineering - 2025
Reliability analysis of CRAC system of a modern Data centre via Kriging algorithm
April 20, 2024 - April 20, 2024
Ahsan Javed, Tayyab Zafar, Zhonglai Wang,
2nd International Conference on Modern Technologies in Mechanical and Materials Engineering (MTME-2024)
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