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)

Mr. Hemantkumar Kadam | Heat Transfer | Best Researcher Award

Asst. Professor | Pimpri Chinchwad College of Engineering, Pune | India

Mr. Hemantkumar Hindurao Kadam, Assistant Professor at Pimpri Chinchwad College of Engineering, Pune, is a distinguished researcher pursuing a Ph.D. in Mechanical Engineering at Shivaji University, Kolhapur, with a focus on nanofluids, surfactants, stability, and heat transfer enhancement. He holds an M.Tech in Thermal Engineering and a B.E. in Mechanical Engineering (Mumbai University), and is currently conducting experimental studies on nanofluids stabilized with biosurfactants and synthetic surfactants at Govt. College of Engineering, Karad. His research has resulted in peer-reviewed publications in SCIE and ESCI journals, granted copyrights (“Easy steps to draw an involute” and “Development of Lateral Surfaces”), a patent under process and professional contributions to renewable energy, HVAC, and electronic cooling systems. He has experimentally investigated the influence of surfactant type and concentration on viscosity, interfacial tension, and stability of nanofluids, demonstrating the comparative environmental and performance benefits of biosurfactants such as Rhamnolipids. His work, recognized through 4 citetation and 4 documents (h-index = 1), reflects significant innovation, methodological rigor, and potential for sustainable thermal management solutions, making him an excellent candidate for the Best Research Award.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Influence of rhamnolipids, anionic surfactants, and Al₂O₃ nanoparticles on the viscosity of distilled water-based fluids: A comparative experimental study. Journal/Conference Name, volume(issue), pages.