Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

Assistant Professor | NFC Institute of Engineering and Technology | Pakistan

Assist. Prof. Dr. Muhammad Punhal Sahto is a distinguished academic and researcher in Mechanical Engineering, currently serving as an Assistant Professor at the Department of Mechanical Engineering, NFC IET Multan, Pakistan (since June 2024). Previously, he worked at The University of Lahore as Assistant Professor (2015–2024) and Lecturer (2009–2015). Dr. Sahto earned his Ph.D. in Mechanical Engineering from the University of Electronic Science and Technology of China (2017–2023), where he conducted advanced research on the Analysis and Performance of Static and Dynamic Characteristics of Aerostatic Bearings. He holds an M.S. in Mechanical Engineering from the University of Engineering and Technology, Lahore (2007–2014), and a B.E. in Mechanical Engineering from Quaid-e-Awam University of Engineering, Science, and Technology, Nawabshah (2002–2006). His research interests encompass aerostatic and porous bearings, tribology, advanced materials, micro-electromechanical systems, and renewable energy integration. He has published extensively in high-impact journals such as IEEE Access, Micromachines, Results in Engineering, and MRS Energy & Sustainability, with multiple works under review in leading journals. His research skills include proficiency in AutoCAD, ANSYS Workbench, MATLAB, Origin, Microsoft Office, and LATEX, coupled with expertise in analytical modeling, experimental design, and numerical simulation. Dr. Sahto has served as a reviewer for international journals including IEEE Access and Micromachines, and actively contributes to the global research community. His awards and honors include the Academic and Research Achievement Award (2023) from UESTC, a University Scholarship (2017) for his Ph.D. studies, and recognition as a PEC-registered professional engineer (MECH/19629). Fluent in English, Sindhi, and Urdu, Dr. Sahto combines academic excellence, research innovation, and teaching expertise, contributing significantly to the advancement of precision engineering and sustainable technological solutions.

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

Featured Publications

  1. Sahto, M. P., Wang, W., Imran, M., He, L., Li, H., & Weiwei, G. (2020). Modelling and simulation of aerostatic thrust bearings. IEEE Access, 8, 121299–121310. https://doi.org/10.1109/ACCESS.2020.2999748 Cited by: 25

  2. Sahto, M. P., Wang, W., Sanjrani, A. N., Hao, C., & Shah, S. A. (2021). Dynamic performance of partially orifice porous aerostatic thrust bearing. Micromachines, 12(8), 989. https://doi.org/10.3390/mi12080989 Cited by: 9

  3. Sahto, M. P., Wei, W., Jamil, M. F., Mehmood, A., Sattar, M., Raza, A., Rahman, M. U., & others. (2024). Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing. Results in Engineering, 24, 102893. https://doi.org/10.1016/j.rineng.2024.102893 Cited by: 6

  4. Sanjrani, A. N., Huang, H. Z., Shah, S. A., Hussain, F., Punhal, M., Narejo, A., & Zhang, B. (2024). High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment. Results in Engineering, 25, 103696. https://doi.org/10.1016/j.rineng.2024.103696 Cited by: 5

  5. Jamil, M. F., Sahto, M. P., & Mehmood, A. (2025). Comprehensive study on high-performance machining (HPM) of Inconel-718: A review. The International Journal of Advanced Manufacturing Technology, 1–33. https://doi.org/10.1007/s00170-025-16225-z Cited by: 3

Ilyas Smailov | Tribology | Best Research Article Award

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Mr. Ilyas Smailov | Tribology | Best Research Article Award

PhD student at Institute of Energy and Mechanical Engineering Named After A. Burkitbayev, Kazakhstan

Smailov Ilyas is an ambitious and accomplished young professional from Kazakhstan, known for his dedication to engineering, youth leadership, and social development. At just 25, he has amassed an impressive portfolio of academic accolades, leadership awards, and national recognitions. He has actively contributed to national volunteerism and youth policy, earning honors such as the “Qazaqstannyn altyn zhastary – 2020” and the prestigious “Halyk Alǵysy” state medal. His dynamic involvement in student organizations, leadership councils, and public service initiatives demonstrates a unique blend of technical knowledge and civic commitment. He is widely respected for his creativity, public speaking, and organizational skills, making him a rising figure in Kazakhstan’s engineering and youth development landscape. Through internships, workshops, and active community service, Ilyas continues to demonstrate his passion for combining innovation with impact. His long-term vision includes contributing significantly to research, technology, and nation-building through academic and industrial channels.

Professional Profile 

Education🎓

Ilyas began his academic journey at Karaganda Technical University (KarTU), where he earned a Bachelor of Engineering and Technology in Mechanical Engineering in 2020. He continued his education with a Master of Technical Sciences, graduating in 2022. His academic excellence earned him several prestigious scholarships, including those from the Shakhmardan Yessenov, Konrad Adenauer, and Nursultan Nazarbayev foundations. Currently, he is pursuing a PhD in Mechanical Engineering at Satbayev University in Almaty, a leading research institution in Kazakhstan. Alongside his formal education, Ilyas completed advanced training in machining operations and earned the qualification of a 2nd-grade lathe operator. He has consistently combined academic pursuits with extracurricular engagement, attending seminars and workshops on leadership, management, and self-education at nationally significant platforms such as the Library of the First President. His educational background lays a strong foundation for future research and industrial innovation.

Professional Experience📝

Ilyas has built a diverse and evolving professional portfolio that spans engineering, academic coordination, and policy leadership. From 2022 to 2024, he served as a methodologist at the Department of Youth Policy at KarTU, where he also headed the Center for Creative Development, guiding student programs and innovation events. Earlier, he worked as an engineer at Caspian Constructors Trust, contributing to industrial mechanical systems. Currently, he is employed as a process technician at the final assembly workshop of Astana Motors Manufacturing, where he applies his academic knowledge in real-world production environments. In addition, he has actively led student and youth organizations, including serving as chairman of the “Zhas Orda” student union and Youth Association. These roles sharpened his leadership and strategic planning capabilities. His mix of industrial, academic, and civic experience uniquely positions him as a multidisciplinary professional capable of driving innovation both in technical and societal spheres.

Research Interest🔎

Smailov Ilyas’s research interests lie primarily in the field of mechanical engineering, with a focus on advanced manufacturing technologies, machine design, and process optimization. As a current PhD student at Satbayev University, he is committed to exploring innovative engineering solutions that improve production efficiency, sustainability, and material performance. He is particularly interested in integrating practical industrial processes with academic research to solve real-world engineering challenges. His exposure to lathe operations, assembly line processes, and mechanical system diagnostics further fuels his interest in developing automated systems and enhancing precision engineering. Ilyas also shows a growing inclination toward applied mechanics, especially in the context of Kazakhstan’s industrial development. His academic background and professional roles in both educational and manufacturing institutions position him well to bridge the gap between research theory and engineering application. In future work, he aims to contribute to academic publications and collaborative industrial research in the mechanical and manufacturing domains.

Award and Honor🏆

Smailov Ilyas has earned numerous awards and honors that reflect his exceptional academic, leadership, and social contributions. Notably, he was a laureate of the Republican Youth Award “Qazaqstannyn altyn zhastary – 2020” for his excellence in higher education leadership. He received the CIS Medal of Honor as the “Best Student of the Commonwealth of Independent States – 2020,” recognizing his efforts in education, science, and sports. His volunteer work during the COVID-19 pandemic earned him the state medal “Halyk Alǵysy” by presidential decree. He has also received scholarships from the Yessenov Foundation, Konrad Adenauer Foundation, and Nursultan Nazarbayev Foundation. Ilyas’s contributions to youth policy and student development have been acknowledged by prestigious organizations, including the Presidential Office, Ministry of Information and Social Development, and regional Akims. These accolades highlight his strong commitment to leadership, community service, and the advancement of technical education.

Research Skill🔬

Smailov Ilyas possesses a well-rounded set of research skills that support his work in mechanical engineering. He demonstrates proficiency in technical drawing, mechanical system analysis, and engineering diagnostics, grounded in both academic and practical training. His hands-on experience in machinery operations, especially as a certified 2nd-grade lathe operator, complements his ability to conduct experimental research. Ilyas is skilled in data collection, process simulation, and problem-solving methodologies, vital for applied research projects. He has developed early experience in project design, technical documentation, and literature reviews, which are essential for academic writing and publication. His participation in internships and seminars has improved his critical thinking and cross-disciplinary collaboration skills. While his current English proficiency (IELTS 5.5) is developing, he continues to grow his communication abilities through international workshops and training. As a young researcher, Ilyas shows promise in advancing innovative solutions and contributing to industrial research and scientific literature.

Conclusion💡

Smailov Ilyas demonstrates strong leadership, academic excellence, and social engagement. However, for the Best Research Article Award, the critical factor is the quality, impact, and publication of a research article

Publication Top Noted✍️

  • 📘 Title: An Analysis of the Tribological and Thermal Performance of PVDF Gears in Correlation with Wear Mechanisms and Failure Modes Under Different Load Conditions

  • ✍️ Authors: Enis Muratović, Adis Muminovic, Łukasz Gierz, Ilyas Smailov, Maciej Sydor, Muamer Delić

  • 📅 Year: 2025

  • 🔢 DOI: 10.3390/coatings15070800

  • 📚 Journal: Coatings (Published by MDPI)

  • 🔎 Citation Format (APA):
    Muratović, E., Muminovic, A., Gierz, Ł., Smailov, I., Sydor, M., & Delić, M. (2025). An Analysis of the Tribological and Thermal Performance of PVDF Gears in Correlation with Wear Mechanisms and Failure Modes Under Different Load Conditions. Coatings, 15(7). https://doi.org/10.3390/coatings15070800

Yonglin Tao | Mechanical design | Best Researcher Award

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Mr. Yonglin Tao | Mechanical design | Best Researcher Award

Postgraduate at Zhejiang University, China

Taoyong Lin is an emerging researcher in the field of mechanical engineering, specializing in intelligent manufacturing, digital twin systems, and data-driven process optimization. With a strong foundation in both theoretical principles and hands-on applications, he has contributed to cutting-edge research in spatial metal tube bending, integrating deep learning models with multi-objective evolutionary algorithms. His work demonstrates a rare balance of computational intelligence and mechanical innovation, as evidenced by first-author publications in high-impact Q1 journals and successful implementation of industry-oriented systems. Beyond academic excellence, Taoyong has shown leadership through project management roles, software development, and mentoring. His ability to convert abstract models into practical tools—such as springback compensation systems and parametric design platforms—sets him apart as a future leader in digital manufacturing. He is also committed to community engagement, having participated in volunteer teaching and student leadership roles. Taoyong continues to pursue research that blends engineering insight with societal and industrial impact.

Professional Profile 

Education🎓

Taoyong Lin began his academic journey at Central South University, a prestigious Double First-Class institution under Project 985 and 211, where he earned his Bachelor’s degree in Mechanical Design, Manufacturing and Automation (Mechatronics Engineering). He graduated in June 2023 with a weighted GPA. His coursework included over 30 subjects scoring above 90, such as Electrical Engineering, Robotics, Machine Vision, and Mechanical Control Engineering. He passed both CET-4 and CET-6 English proficiency tests and developed proficiency in reading technical literature and academic writing in English. Currently, he is pursuing a Master’s degree in Mechanical Engineering at Zhejiang University. His graduate studies focus on intelligent optimization and digital manufacturing, allowing him to further integrate computational models with advanced mechanical systems, reinforcing his commitment to interdisciplinary research and academic excellence.

Professional Experience📝

Taoyong Lin has developed a well-rounded portfolio of research and professional experience focused on intelligent mechanical systems, digital twin platforms, and smart manufacturing. As the first author, he led the design and implementation of a sparse expert decomposition framework and X-MOEA algorithm for optimizing variable curvature tube bending, with a paper submitted to a top-tier journal (IF = 9.4). He also co-authored an LSTM-based axial prediction model for spatial bending, applying advanced tuning techniques like AWPSO. As a core developer, he contributed to a provincial-level project building a digital twin system for tube component bending, including UI design and subsystem development in MATLAB and SolidWorks. His innovation has led to one granted utility patent and one invention patent under review. Additionally, he has held leadership roles in national innovation programs, developed temperature-controlled dispersion devices, and led multiple university-level design and modeling projects. His experience bridges academic research with practical, real-world engineering solutions.

Research Interest🔎

Taoyong Lin’s research interests lie at the intersection of intelligent manufacturing, mechanical system optimization, and computational intelligence. He focuses on combining deep learning models (such as LSTM and CNN) with multi-objective evolutionary algorithms to enhance precision and efficiency in metal tube bending processes. His work seeks to solve real-world manufacturing challenges—such as springback compensation, curvature prediction, and process parameter tuning—through data-driven, interpretable models. In addition, he has a strong interest in digital twin systems, aiming to create real-time, virtual replicas of complex forming systems that enable simulation, optimization, and process control. His recent projects also explore frequency-domain analysis, neuroevolution, and process simulation, allowing him to develop intelligent frameworks for highly nonlinear mechanical operations. Taoyong is committed to advancing the digital transformation of mechanical engineering by integrating mechanical design with artificial intelligence, thereby contributing to smart factory initiatives, human-machine collaboration, and sustainable manufacturing technologies.

Award and Honor🏆

Taoyong Lin has received multiple prestigious awards and honors recognizing both his academic excellence and innovative capabilities. At Central South University, he was twice named an Excellent Student and received the Huang Qianheng Foundation Scholarship for outstanding academic performance. He earned Second-Class Scholarships for two consecutive years and was honored as an Excellent Graduate upon completing his bachelor’s degree. His innovation was also recognized through top placements in national and university-level competitions. He won the 2nd Prize in the Mechanical Design Competition during CSU’s “Xuanji Tech Festival” and received the S Award in the Mathematical Contest in Modeling (MCM). Additional accolades include the 3rd Prize in CSU’s Mathematical Modeling Contest and an Excellence Award in the “Huashu Cup” National College Mathematical Modeling Competition. These awards reflect his strong academic foundation, creative problem-solving ability, and leadership in research and innovation at both institutional and national levels.

Research Skill🔬

Taoyong Lin possesses a comprehensive set of research skills that span multiple domains of engineering, computation, and experimental design. His technical proficiency includes advanced deep learning techniques (LSTM, CNN using PyTorch), intelligent optimization algorithms (PSO, MOEA/D, NSGA-III), and finite element analysis using Abaqus. He is highly skilled in 3D modeling and CAD software such as SolidWorks and AutoCAD, and in simulation tools like Simulink. Taoyong is proficient in multiple programming languages, including Python, C++, MATLAB, and C#, enabling him to design custom neural networks, develop GUIs, and run computational simulations. His practical engineering abilities are complemented by experience with hardware development platforms like Arduino, STM32, and PLC systems. Additionally, he is fluent in academic writing using LaTeX, and skilled in data analysis tools such as Origin, Pandas, and SciPy. This diverse skillset empowers him to tackle interdisciplinary challenges and deliver innovative, high-impact research outcomes.

Conclusion💡

✅ Taoyong Lin is a highly suitable and promising candidate for the Best Researcher Award, especially in the context of early-career researchers or master’s-level recognition.

He showcases:

  • Technical excellence,

  • Original contributions,

  • Innovation-driven mindset, and

  • A well-rounded portfolio of leadership, social responsibility, and academic rigor.

Publication Top Noted✍️

  • Title: Spatial Spiral Tube Multi-Roller Bending: Accurate Axial Prediction Utilizing AWPSO-FECAM-LSTM Framework

  • Authors:

    Zili Wang, Yonglin Tao, Shuyou Zhang, Xiaojian Liu, Yaochen Lin, Liangyou Li, Jianrong Tan, Zheyi Li

  • Journal: Expert Systems with Applications

  • Publisher: Elsevier

  • Publication Type: Journal Article

  • Publication Date: January 16, 2026

  • Volume/Issue: [Not specified]

  • DOI: 10.1016/j.eswa.2025.128960

  • ISSN: 0957-4174

  • Indexed In: SCI (Q1 Journal), Elsevier

  • Primary Focus: Axial prediction in multi-roller bending using a hybrid model combining Adaptive Weight PSO (AWPSO), Frequency-Enhanced Channel Attention Mechanism (FECAM), and Long Short-Term Memory (LSTM) neural networks.