Liaqat Ali | Heat transfer | Editorial Board Member

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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)

Xin Zhao | Heat Transfer | Best Researcher Award

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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)

Paul Ayegba| Heat Transfer | Best Researcher Award

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Dr. Paul Ayegba| CSU Long Beach | Best Researcher Award

Assistant Professor, CSU Long Beach,United States

Dr. Paul Onubi Ayegba is a highly accomplished fluids and thermal sciences researcher with significant international experience, a solid track record of publications, and recognitions from prestigious institutions. His technical skillset is robust, and his research is highly relevant to both academia and industry. His trajectory from Nigeria to France, the U.S., and a current tenure-track position shows resilience and growth.

Publication Profile
Publication : 

1. Turbulence statistics and flow structure in fluid flow using particle image velocimetry technique: A review

  • Authors: PO Ayegba, LC Edomwonyi‐Otu

  • Journal: Engineering Reports, Volume 2 (3), e12138

  • Year: 2020

  • Citations: 24

2. A review of drag reduction by additives in curved pipes for single‐phase liquid and two‐phase flows

  • Authors: PO Ayegba, LC Edomwonyi‐Otu, N Yusuf, A Abubakar

  • Journal: Engineering Reports, Volume 3 (3), e12294

  • Year: 2021

  • Citations: 23

3. Applications of artificial neural network (ANN) method for performance prediction of the effect of a vertical 90 bend on an air–silicone oil flow

  • Authors: PO Ayegba, M Abdulkadir, V Hernandez-Perez, IS Lowndes, …

  • Journal: Journal of the Taiwan Institute of Chemical Engineers, Volume 74, Pages 59–64

  • Year: 2017

  • Citations: 20

4. Experimental and neural network modelling of polymer drag reduction in 180 bends

  • Authors: PO Ayegba, LC Edomwonyi-Otu, N Yusuf, A Abubakar

  • Journal: Results in Materials, Volume 1, Article 100012

  • Year: 2019

  • Citations: 13

5. Flow pattern and pressure drop for oil–water flows in and around 180 bends

  • Authors: PO Ayegba, LC Edomwonyi-Otu, A Abubakar, N Yusuf

  • Journal: SN Applied Sciences, Volume 3, Pages 1–13

  • Year: 2021

  • Citations: 12

6. Hydrodynamics of vertical upward and downward flow boiling in a millimetric tube

  • Authors: PO Ayegba, J Sebilleau, C Colin

  • Journal: International Journal of Multiphase Flow, Volume 153, Article 104120

  • Year: 2022

  • Citations: 9

7. Drag Reduction for Single-Phase Water Flow in and around 180° Bends

  • Authors: PO Ayegba, LC Edomwonyi-Otu, A Abubakar, N Yusuf

  • Journal: Journal of Non-Newtonian Fluid Mechanics, Volume 295, Article 104596

  • Year: 2021

  • Citations: 6

8. Prediction of average void fraction and PDF of void fraction in vertical 90° bend for air–silicone oil flow using multilayer perceptron (MLP) codes

  • Authors: P Ayegba, M Abdulkadir

  • Publisher: Teknokent

  • Year: 2017

  • Citations: 6

conclusion:

Yes, Dr. Ayegba is a highly suitable candidate for a Best Researcher Award, especially within fields like Chemical Engineering, Fluid Mechanics, Thermal Sciences, or Environmental Engineering. He stands out for his academic rigor, global recognition, and impactful research output. Further progress in grant acquisition and student mentorship would elevate him to even greater heights.

SUSMAY NANDI | Heat and Mass Transfer | Best Researcher Award

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Assist.Prof.Dr.SUSMAY NANDI |Heat and Mass Transfer|Best Researcher Award

Assist. Prof. Dr.  SUSMAY NANDI  UPES,India.

 

Dr. Susmay Nandi is an Assistant Professor in the School of Advanced Engineering at the University of Petroleum and Energy Studies (UPES), India. He earned his Ph.D. in Mathematics from the National Institute of Technology (NIT) Meghalaya in 2022, focusing his research on the analysis of Magnetohydrodynamic (MHD) flows with heat and mass transfer, particularly studying MHD fluid flow past different geometries with various physical aspects.Prior to his doctoral studies, Dr. Nandi completed his M.Sc. in Mathematics & Computing from the Indian Institute of Technology Guwahati in 2015 and a B.Sc. (Honours) in Mathematics from the University of North Bengal in 2013. He also pursued a B.Ed. in Science from the University of North Bengal in 2017.Before joining UPES in April 2022, Dr. Nandi served as a Junior Research Fellow (2017–2019) and Senior Research Fellow (2019–2022) at NIT Meghalaya. His research interests include Magnetohydrodynamics, fluid dynamics, and heat and mass transfer. He has contributed to the field through several publications, including studies on the electrothermal effect on MHD Jeffrey fluid flow in porous channels with variable fluid properties.

Publication Profile

Scopus

Education :

Dr. Susmay Nandi earned his Ph.D. in Mathematics from the National Institute of Technology (NIT) Meghalaya in 2022. His doctoral research focused on the Analysis of Magnetohydrodynamic (MHD) flows with heat and mass transfer, under the supervision of Dr. Bidyasagar Kumbhakar. He holds an M.Sc. in Mathematics & Computing from the Indian Institute of Technology (IIT) Guwahati (2015) and a B.Sc. (Honors) in Mathematics from the University of North Bengal (2013). Additionally, he obtained a B.Ed. in Science from the University of North Bengal in 2017.

Experience :

Dr. Nandi is currently an Assistant Professor in the Department of Mathematics, School of Engineering, at the University of Petroleum and Energy Studies (UPES), Dehradun, where he has been serving since April 2022. Prior to this, he worked as a Junior Research Fellow (JRF) and later as a Senior Research Fellow (SRF) at NIT Meghalaya from 2017 to 2022. His teaching and research expertise span applied mathematics, computational modeling, and fluid dynamics.

Research Focus :

Dr. Nandi’s research interests include:

Magnetohydrodynamics (MHD) & Fluid Dynamics: Studying fluid flow behavior under the influence of magnetic fields.Heat & Mass Transfer: Exploring thermal radiation, hybrid nanofluid flows, and porous media applications.Computational Methods: Utilizing numerical and analytical approaches to solve nonlinear mathematical models.Biomedical Applications: Investigating fluid dynamics in physiological systems, including hydrocephalus and cerebrospinal fluid flow.He has contributed extensively to these fields through high-impact journal publications indexed in SCIE and Scopus.

Awards:

Dr. Nandi has received multiple accolades for his contributions to research:

Best Researcher Award at the 3rd Research Conclave 2022, NIT Meghalaya.Best Paper Award at the International Conference on Mathematics & Computation (ICMC-2021).Third Prize in Oral Presentation at the Research Conclave 2021.Senior Research Fellowship (SRF) at NIT Meghalaya (2018).GATE (2016) & IIT-JAM (2013) Qualified, securing top national ranks.

Publication :

  • Sundari, B. T., Thiripura, B., Vijayalakshmi, R., Surendar, R., Nandi, S., & Balasundaram, H. (2025). Electrothermal effect on MHD Jeffrey fluid flow in a porous channel with variable fluid properties. Thermal Science and Engineering Progress.

  • Arulmozhi, S., Sukkiramathi, K., Santra, S. S., & Nandi, S. (2025). Impact of thermal radiation on water-based hybrid nanofluid (Cu–Al₂O₃–H₂O) flow over a forward/backward moving vertical porous plate. Arabian Journal for Science and Engineering.

  • Arulmozhi, S., Sukkiramathi, K., Santra, S. S., Kumbhakar, B., & Hussain, S. M. (2024). Stokes’ second problem exact solution for hybrid nanofluid flow along an exponentially accelerating vertical surface. ZAMM – Journal of Applied Mathematics and Mechanics.

 

 Conclusion

Dr. Susmay Nandi is a suitable nominee for the Best Researcher Award. His research excellence, academic background, and recognitions strongly justify his selection. Strengthening his global collaborations and increasing research funding can further enhance his profile.