Khuram Walayat is currently working as a post-doctoral research fellow in the thermal and fluid engineering (TFE) department at the University of Twente. He received his Ph.D. degree from Peking University, Beijing 100871, China . During his Ph.D. he was associated with Beijing Innovation Center for Engineering Science and Advanced Technology (BIC-ESAT) and State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University. His research interests are Particulate flows, Fluid-solid interaction, Multi-phase flows involving energy storage, energy exchange, and phase change.
Engineering & Materials Science
# Deep Neural Networks # Heat Storage # Hydrates # Hydration # Packed Beds # Salts
# Heat Storage # Heat Transfer
Khuram Walayat's research interests are Particulate flows, Fluid-solid interaction, Multi-phase flows involving energy storage, energy exchange, and phase change.
Mahmoudi, A., Donkers, P. A. J. , Walayat, K. , Peters, B. , & Shahi, M. (2021). A thorough investigation of thermochemical heat storage system from particle to bed scale. Chemical engineering science, 246, . https://doi.org/10.1016/j.ces.2021.116877
Walayat, K., Duesmann, J., Derks, T. , houshang Mahmoudi, A., Cuypers, R. , & Shahi, M. (2021). Experimental and numerical investigations for effective thermal conductivity in packed beds of thermochemical energy storage materials. Applied thermal engineering, 193, . https://doi.org/10.1016/j.applthermaleng.2021.117006
Iqbal, I., Younus, M. , Walayat, K., Kakar, M. U., & Ma, J. (2021). Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images. Computerized medical imaging and graphics, 88, . https://doi.org/10.1016/j.compmedimag.2020.101843
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Ph.D. (Engineering Mechanics)
MS. (Mathematical Modeling and Scientific Computing)
M.Sc. Applied Mathematics
Multi-scale modelling and Experimental validation of Thermochemical Energy Storage materials (Particle – Pellet – Packed bed) ME4TES – PPP