Andrii Hovorukha | Engineering | Best Researcher Award

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Mr. Andrii Hovorukha | Engineering | Best Researcher Award

M.S. Poliakov Institute of Geotechnical Mechanics of the National Academy of Sciences | Ukraine

Mr. Andrii Hovorukha is a researcher specializing in the mechanics, dynamics, and tribology of railway and industrial transport systems. His work focuses on the mathematical modeling of dynamic interactions, wear, and operational safety of track structures, rolling stock, and heavily loaded mining equipment. He has authored 36 scientific publications with 15 citations and a Google Scholar h-index of 3, contributing to international journals and conference proceedings. His research includes the development of innovative friction modifier technologies, particularly the “Ideal” repair and restoration mixture, which forms wear-resistant nanostructured layers, significantly extending equipment service life. Mr. Andrii Hovorukha’s contributions advance the reliability, safety, and efficiency of industrial and railway transport systems, bridging theoretical modeling with practical industrial applications.

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Featured Publications


Improvement of the service life of mining and industrial equipment by using friction modifiers

– V.V. Hovorukha, A.V. Hovorukha · Scientific Bulletin of National Mining University, 2023 · Cited by 3


Исследование динамики приводов стрелочных переводов горного транспорта

– A.V. Hovorukha, S.L. Ladik · Геотехнічна механіка, 2015 · Cited by 3


Method for studying spatial vibrations of a vehicle during its movement along the rail track on separate supports with elastic-dissipative and inertial properties

– L.P. Semyditna, V.V. Hovorukha, A.V. Hovorukha, T.P. Sobko · Геотехнічна механіка, 2022 · Cited by 2


Research of deformed state of railway track joint zones in complex operating conditions of rail transport

– V.V. Hovorukha, A.V. Hovorukha, Y.O. Makarov, T.P. Sobko, L.P. Semyditna · Геотехнічна механіка, 2023 · Cited by 1

Surakasi Raviteja | Engineering | Excellence in Research Award

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Assist. Prof. Dr. Surakasi Raviteja | Engineering | Excellence in Research Award

Lendi Institute of Engineering and Technology | India

Dr. Surakasi Ravi Teja is a dedicated researcher whose work spans thermal engineering, nanofluids, biofuels, heat transfer augmentation, sustainable energy systems, and advanced materials science. His research expertise includes the experimental evaluation of thermophysical properties, development of nanomaterial-enhanced solar thermal fluids, ANN-based predictive modeling, biodiesel and pyrolysis-fuel combustion analysis, and CFD-driven optimization of thermal devices. With 77 Scopus-indexed publications, 960 citations, and an h-index of 17, he has established a strong scientific presence, contributing extensively to high-impact Scopus-, SCI-, and SCIE-indexed journals such as Frontiers in Heat and Mass Transfer, Journal of Nanomaterials, Materials Today: Proceedings, International Journal of Chemical Engineering, and Adsorption Science & Technology. His Q1–Q2 publications reflect significant advancements in areas including nanofluid stability, enhanced heat transfer, eco-friendly fuel blends with  , and nano-reinforced composite materials. His interdisciplinary works extend to solar water heating systems, cryogenic vessel design, adsorption-based separation technologies, and nanoparticle-assisted wastewater treatment. Several of his highly cited studies focus on waste-to-energy conversion, algae-oil biodiesel applications, and green-synthesized nanoparticles for environmental remediation, highlighting his contribution to sustainable and cleaner energy technologies. In addition to his research output, Dr. Teja serves as a reviewer for numerous national and international journals and holds editorial memberships, contributing to global scholarly communication and knowledge dissemination. His consistent research engagement, innovation-driven approach, and interdisciplinary collaborations underscore his impactful role in advancing thermal sciences, materials engineering, and renewable energy research.

Profiles: Scopus | Google Scholar | ORCID | Staff Profile

Featured Publications

  1. Sathish, T., Vijayalakshmi, A., Surakasi, R., Ahalya, N., Rajkumar, M., … (2024). DeepNNet 15 for the prediction of biological waste to energy conversion and nutrient level detection in treated sewage water. Process Safety and Environmental Protection, 189, 636–647.

  2. Senthil, T. S., Puviyarasan, M., Babu, S. R., Surakasi, R., & Sampath, B. (2023). Industrial robot-integrated fused deposition modelling for the 3D printing process. In Development, Properties, and Industrial Applications of 3D Printed Polymer Materials

  3. Lakshmaiya, N., Surakasi, R., Nadh, V. S., Srinivas, C., Kaliappan, S., … (2023). Tanning wastewater sterilization in the dark and sunlight using Psidium guajava leaf-derived copper oxide nanoparticles and their characteristics. ACS Omega, 8(42), 39680–39689.

  4. Nirmal Kumar, K., Dinesh Babu, P., Surakasi, R., Kumar, P. M., & Ashokkumar, P. (2022). Mechanical and thermal properties of bamboo fiber–reinforced PLA polymer composites: A critical study. International Journal of Polymer Science, 2022(1), 1332157.

  5. Vennila, T., Karuna, M. S., Srivastava, B. K., Venugopal, J., & Surakasi, R. (2023). New strategies in treatment and enzymatic processes: Ethanol production from sugarcane bagasse. In Human Agro-Energy Optimization for Business and Industry (pp. 219–240).

Bojiang Yin | Engineering | Best Researcher Award

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Mr. Bojiang Yin | Engineering | Best Researcher Award

School of Petrochemical Engineering, Lanzhou University of Technology | China

Mr. Bojiang Yin’s research primarily focuses on the fundamental and applied aspects of special valve design and process systems, with an emphasis on structural parameter optimization, reliability engineering, and multi-physics coupling dynamics. His work addresses critical challenges in extreme operating environments, such as ultra-low temperature liquid hydrogen systems, by developing innovative sealing structures and evaluating their performance using advanced computational approaches. He has employed techniques including thermo-mechanical coupling, sensitivity analysis, high-precision RBF surrogate modeling, and NSGA-II optimization to achieve reliable bidirectional sealing under cryogenic conditions. Bojiang has published in high-impact journals like Scientific Reports, contributing to the scientific understanding of valve mechanics and optimization methodologies. He has collaborated with the National Natural Science Foundation of China, the Double First-Class Key Program of Gansu Province, and other regional technology programs, bridging academic research with practical industry applications. His contributions extend to consultancy projects, product development, and providing references for the design of advanced butterfly valves, positioning him as an emerging researcher in valve innovation and cryogenic system reliability.

Profile: ORCID

Featured Publications

Li, S., Yin, B., Wei, C., Li, W., & Yang, L. (2025). Structural analysis and multi-objective optimization of sealing structure for cryogenic liquid hydrogen triple-offset butterfly valve. Scientific Reports, 15, Article 20095. https://doi.org/10.1038/s41598-025-20095-6

Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award

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Dr. Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award

Iran University of Science and Technology | Iran

Dr. Amin Reza Kalantari Khalil Abad is a distinguished researcher and Lecturer in Industrial Engineering at Iran University of Science and Technology, Tehran, specializing in system optimization and sustainable supply chain design. He earned his Ph.D. in Industrial Engineering from Iran University of Science and Technology (2024), focusing on designing resilient horticultural supply chains under pest disruption, and holds an M.Sc. in Industrial Engineering (System Optimization) from Kharazmi University and a B.Sc. from Meybod University, Iran. His research expertise spans decision-making, operations research, mathematical modeling, and optimization, with emphasis on sustainable, resilient, and circular supply chain networks under uncertainty. Dr. Amin Reza Kalantari Khalil Abad has extensive teaching experience as a lecturer and teaching assistant in logistics, supply chain management, operations research, and software applications including GAMS and MiniTab. He has published six high-impact journal articles, including in the Journal of Environmental Management (2025), Journal of Industrial Information Integration (2025), Computers & Chemical Engineering (2024, 2023), Journal of Cleaner Production (2024), and Applied Soft Computing (2023). His work has been cited 57 times by 51 documents, achieving an h-index of 5 according to Scopus. Recognized as Top Ph.D. Student in Education (2021–2022) and Research (2023–2024), he also serves as a reviewer for leading journals and international conferences. Through his innovative research integrating optimization techniques, sustainable development, and supply chain resiliency, Dr. Amin Reza Kalantari Khalil Abad has significantly contributed to advancing both academic knowledge and practical applications, making him a highly deserving candidate for the Best Researcher Award.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  • Alizadeh, M., Kalantari Khalil Abad, A. R., Jahani, H., & Makui, A. (2023). Prevention of post-pandemic crises: A green sustainable and reliable healthcare supply chain network design for emergency medical products. Journal of Cleaner Production, 139702. https://doi.org/10.1016/j.jclepro.2023.139702

  • Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Toward circular economy for pomegranate fruit supply chain under dynamic uncertainty: A case study. Computers & Chemical Engineering, 178, 108362. https://doi.org/10.1016/j.compchemeng.2023.108362

  • Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2022). Green closed-loop supply chain network design with stochastic demand: A novel accelerated Benders decomposition method. Scientia Iranica, 29(5), 2578–2592. https://doi.org/10.24200/sci.2022.55657

  • Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak. Applied Soft Computing, 110964. https://doi.org/10.1016/j.asoc.2023.110964

  • Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2021). Green closed-loop supply chain network design: A novel bi-objective chance-constraint approach. RAIRO-Operations Research, 55(2), 811–840. https://doi.org/10.1051/ro/2021035