Google Scholar Citations = 426, h-index = 11, i10-index = 12
Research Papers:
D Kumar et al., "Enhancing space sensor resilience with Transfer Learning in data-scarce scenarios," Machine Learning: Science and Technology, vol.6(3), 2025. (IF = 4.6, Q1 Journal)
MR Awan, CW Chan, A Murphy, D Kumar et al., "Deep Learning and Image Data based Surface Crack Recognition of Laser Nitrided Titanium Alloy," Results in Engineering, vol. 22, pp. 1-11, 2024. (IF = 6.0, Q1 Journal)
D Kumar et al., "Improving Resilience of Sensors in Planetary Exploration using Data-Driven Models," Machine Learning: Science and Technology, vol. 4(3), pp. 1-18, 2023. (IF = 6.8, Q1 Journal)
D Kumar et al., "Towards soft real-time fault diagnosis for edge devices in industrial IoT using deep domain adaptation training strategy,” Journal of Parallel and Distributed Computing, vol. 160, pp. 90-99, 2022. (Impact factor = 4.542, Q1 Journal)
M Hussain, TD Memon, I Hussain, ZA Memon, and D Kumar, "Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors," Computer Modelling and Engineering Sciences, vol. 133(2), pp. 435–470, 2022. (IF = 2.2, Q2 Journal)
D Kumar et al., "A Novel Bearing Fault Diagnosis Method Based on UNET and Vibration Images," Computer Materials and Continua, vol. 69(1), pp.393-408, 2021, (IF = 3.772 , Q2 Journal)
M Hussain, D Kumar et al., "Stator winding fault detection and classification in three-phase induction motor," Intell. Autom. Soft Comput, vol. 29(3), pp. 869-883, 2021, (IF = 3.401 , Q2 Journal)
MA Faheem, D Kumar, BL Harijan, J Kumari, and A Qureshi "A Deep Learning based Noninvasive and Real-Time Fault Detection System for 3-Phase Induction Motors," vol.4(1), pp.1-11, 2021.
F Rattar, A Wahid, MZ Shaikh, D Kumar, M Hussain, J Ahmed, "Broken Rotor Bar Fault Identification using Current Signature Data and Deep Learning," Journal of Applied Engineering & Technology, vol. 5(2), pp. 58–65, 2021.
J Daudpoto, D Kumar, SA Shaikh, T Hussain and ZA Memon, ''Fatigue failure of SUP-9 spring steel," Material Research Express. vol. 8, pp. 1-11, 2021. (IF = 1.305, Q3 Journal)
SM Ujjan, IH Kalwar, BS Chowdhry, TD Memon, D Kumar "Adhesion level identification in wheel-rail contact using deep neural networks," 3C Tecnologia, pp. 217-230, 2020.
Data Papers:
A. Arain, S. Mehran, M. Z. Shaikh, D. Kumar et al., "Railway track surface faults dataset," Data in Brief, vol.52, pp. 1-6, 2024, (IF = 1.0 , Q3 Journal)
D. Kumar, "Triaxial bearing vibration dataset of induction motor under varying load conditions," Data in Brief, vol.42, pp. 1-6, 2022, (IF = 1.2 , Q3 Journal).
Review Papers:
MZ Shaikh, Z Ahmed, BS Chowdhry, EN Baro, T Hussain, MA Uqaili, S Mehran, D Kumar et al., "State-of-the-art wayside condition monitoring systems for railway wheels: A comprehensive review," IEEE Access, vol. 11, pp. 13257-13279, 2023. (IF = 3.4, Q2 Journal)
K Mal, I Hussain, TD Memon, D Kumar, and BS Chowdhry, "Modern condition monitoring systems for railway wheel-set dynamics: Performance analysis and limitations of existing techniques," Sir Syed University Research Journal of Engineering & Technology, Vol. 2(1), pp. 1-11, 2022.
D Kumar, et al., "The Importance of Feature Processing in Deep-Learning-Based Condition Monitoring of Motors," Mathematical Problems in Engineering, 2021, 992715. (IF = 1.43, Q4 Journal)
D Kumar, J Daudpoto, BS Chowdhry, "Challenges for practical applications of shape memory alloy actuators," Material Research Express. vol. 7(7), pp. 1-13, 2020. (IF = 1.929, Q3 Journal)
D. Kumar and J Daudpoto, "A brief review of condition monitoring techniques for the induction motor," Transactions of the Canadian Society for Mechanical Engineering, vol. 43(4), pp. 499 - 508, 2019. (IF = 0.28, Q4 Journal)
Conference Proceedings:
MZ Shaikh, D Kumar, J Daudpoto, MA Uqaili, BS Chowdhry, and T Hussain, "A Comparative Study of UNET Model for Bearing Fault Identification Based on Time-Series and Wavelet Transformed Vibration Images," Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance, Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 27.20, 2022.
D Kumar et al. "IoT Based Remote Monitoring and Control of an Agricultural Chamber, " 1st International Conference on Computational Sciences and Technologies (INCCST), pp. 88-92, 2019