Assist. Prof. Dr. Liaqat Ali | Heat transfer | Editorial Board Member

Assistant Professor | Xi’an Technological University | China

Dr. Liaqat Ali is an accomplished Associate Professor at Xi’an Technological University, China, recognized for his significant contributions to computational heat transfer, nanofluid dynamics, AI-assisted thermal modeling, and magnetohydrodynamics. With a strong academic background in mechanical and thermal engineering, he has developed advanced expertise in mathematical modeling, hybrid nanofluid transport, and artificial intelligence applications in complex fluid systems. Dr. Ali has authored more than 90 research publications, accumulated over 2,600 citations, and holds an h-index of 32, reflecting his international research influence. His professional experience includes interdisciplinary research collaborations, graduate supervision, and leadership in thermal–AI integration projects. His research interests span AI-based heat and mass transfer prediction, nanofluid-based energy applications, non-Newtonian fluid behavior, bioconvection systems, and plasmonic sensing technologies. Dr. Ali’s recent work includes advancements in plasmonic sensor performance, magnetohydrodynamic flows, hybrid nanofluid modeling, and AI-driven fluid mechanics analyses, demonstrating his ongoing role in advancing next-generation thermal engineering and computational modeling.

Profile: Scopus

Featured Publications

1️⃣ Enhanced SPR Sensor with rGO Layers

Article – Open Access

Authors missing.
(2025). Enhanced surface plasmon resonance sensor performance using reduced graphene oxide (rGO) layers for aflatoxin detection. Results in Physics.

2️⃣ Optimizing Hidden Layers for Heat & Mass Transfer Prediction

Authors missing.
(2025). Optimizing hidden layers for prediction of heat and mass transfer in steady two-dimensional flow over cylinder. Journal of Thermal Analysis and Calorimetry.

3️⃣ Comparative Study of AI Algorithms in Boundary Layer Flow

Authors missing.
(2025). Comparative study of AI algorithms in boundary layer flow: Evaluating performance of Levenberg–Marquardt, Bayesian, and scaled conjugate methods. Thermal Science and Engineering Progress.

(1 citation)

4️⃣ AI Approach to MHD Flow of Non-Newtonian Fluids

Article – Open Access
Authors missing.
(2025). Artificial intelligence approach to magnetohydrodynamic flow of non-Newtonian fluids over a wedge: Thermophoresis and Brownian motion effects. Engineering Science and Technology, an International Journal.

(5 citations)

5️⃣ Tetra Hybrid Nanofluid With Gyrotactic Microorganisms

Authors missing.
(2025). Thermal and solutal analysis of swimming of gyrotactic microorganisms in chemical reactive flow of tetra hybrid nanofluid using Xue and Yamada–Ota models. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

(10 citations)

Assi. Prof. Dr. Xin Zhao | Heat Transfer | Best Researcher Award

Assi. Prof. Dr. Xin Zhao | Inner Mongolia University | China

Assi. Prof. Dr. Xin Zhao is a researcher specializing in cold-region transportation engineering, with a strong focus on freezing theory, frost damage mechanisms, and anti-freezing technologies for tunnels, highways, and subgrade systems. His work advances the understanding of multi-factor coupled thermal–hydrological processes, frost-heave behavior, and risk-grading models in frozen soil environments. He has led multiple scientific projects, published high-impact SCI and EI papers, and developed a whole-chain technical framework integrating investigation, diagnosis, prediction, evaluation, and treatment of frost damage. His contributions include frost-damage databases, analytical and numerical models, and risk-control grading systems that support safe infrastructure development in frigid regions. With extensive patents, standards contributions, editorial roles, and interdisciplinary collaborations, he continues to enhance theoretical research and engineering applications in frozen-soil geotechnics. Assi. Prof. Dr. Xin Zhao work has gained growing academic influence, reflected in strong citation metrics across major indexing platforms

Profile: Orcid

Featured Publications:

Zhao, X., Zhang, H. W., Wang, X. Y., & Zheng, H. (2025). Analysis on the cooling effect of the thermosyphon buried in the subgrade of the permafrost regions of Inner Mongolia, China. Cold Regions Science and Technology, 238, 104546. (JCR Q1)

Zhao, X., Zhang, H. W., Wang, X. Y., & Zheng, H. (2025). A whole-chain technical system for multi-factor coupling mechanism, risk grading and control of frost damage in cold-region tunnels. Case Studies in Thermal Engineering, 76, 107382. (JCR Q1)

Zhao, X., Yang, X. H., Zhang, H. W., Lai, H. P., & Wang, X. Y. (2020). An analytical solution for frost heave force by the multifactor of coupled heat and moisture transfer in cold-region tunnels. Cold Regions Science and Technology, 175, 103077. (JCR Q1)

Zhao, X., Zhang, H. W., Lai, H. P., Yang, X. H., Wang, X. Y., & Zhao, X. L. (2020). Temperature field characteristics and influencing factors on frost depth of a highway tunnel in a cold region. Cold Regions Science and Technology, 179, 103141. (JCR Q1)

Zhao, X., & Yang, X. H. (2019). Experimental study on water inflow characteristics of tunnel in the fault fracture zone. Arabian Journal of Geoscience, 12, 399. (JCR Q3)