Keabetsoe Manosa | Chemical Engineering | Young Researcher Award

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Mr. Keabetsoe Manosa | Chemical Engineering
| Young Researcher Award

Mersin University | Turkey

Mr. Keabetsoe Manosa  study investigates the hydrogen-storage potential of AB₂-type cluster systems based on Magnesium–Titanium (Mg–Ti) and Magnesium–Nickel (Mg–Ni), focusing on their economic feasibility, effectiveness, safety profile, and proximity to optimal thermodynamic and physicochemical conditions for maximum hydrogen retention. The research evaluates key material parameters including enthalpy of formation, activation energy, hydride stability, charge distribution, atomic radii compatibility, and lattice behavior under varying temperature–pressure conditions. Comparative computational analyses reveal how alloying magnesium with transition metals enhances hydrogen diffusion pathways, reduces desorption barriers, and influences reversible storage capacity. The Mg–Ti system is examined for its lightweight composition, favorable thermodynamic window, and potential cost efficiency, while the Mg–Ni system is assessed for catalytic enhancement, structural robustness, and effective hydrogen absorption–desorption kinetics. The study integrates principles of materials thermodynamics, solid-state chemistry, and cluster theory to determine which system aligns more closely with optimal storage metrics required for scalable applications in clean-energy technologies. Overall, the analysis provides insight into the tunability of Mg-based alloys, highlighting their comparative strengths and limitations in meeting industrial hydrogen-storage demands and contributing to the broader pursuit of high-performance, safe, and economically viable energy-storage materials.

Featured Publications

Manosa, K. (2025, July 30). The comparison in the degree of economic feasibility, effectiveness, safety and the proximity to the optimum conditions needed for the maximum storage of hydrogen gas in AB₂-type cluster systems of Magnesium–Titanium and Magnesium–Nickel based on the relevant physical and chemical properties: The Mpoetsi Manosa study (Version 2) [Preprint]. ChemRxiv. https://doi.org/10.26434/chemrxiv-2025-wkpn4-v2

Manosa, K. (2025, June 23). The comparison in the degree of economic feasibility, effectiveness, safety and the proximity to the optimum conditions needed for the maximum storage of hydrogen gas in AB₂-type cluster systems of Magnesium–Titanium and Magnesium–Nickel based on the relevant physical and chemical properties: The Mpoetsi Manosa study [Preprint]. ChemRxiv. https://doi.org/10.26434/chemrxiv-2025-wkpn4

Uwayesu Happy Edwards | Engineering | Excellence in Research Award

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Mr. Uwayesu Happy Edwards | Engineering | Excellence in Research Award

Suzhou university of science and technology | China

Mr. Uwayesu Happy Edwards the research focuses on environmental engineering, natural resource assessment, wastewater treatment modeling, hydropower system analysis, and climate-related environmental degradation across East and Central Africa. Recent work investigates the factors driving water quality changes in Lake Bunyonyi, integrating ecological metrics with habitat-impact assessments. Studies on wastewater treatment processes include large-scale evaluation of ASM1 parameters under subtropical climatic conditions, using long-term WWTP monitoring data to improve predictive reliability and optimize treatment efficiency. Broader environmental impact assessments examine risk patterns in natural resource zones across Southern Nigeria, Ibo regions, and Uganda’s Kitezi landfill, applying quantitative environmental models to evaluate pollution, habitat stress, and human–ecosystem interaction. Additional research explores deforestation-driven climate change in Morogoro, Tanzania, emphasizing the environmental implications for EPA-related conservation missions. Work on hydropower comparability analyzes the performance, sustainability, and environmental footprints of hydropower relative to fossil fuels and other energy systems in developing countries, contributing to renewable-energy assessment frameworks. Complementary studies investigate biomass arrangement effects on aquatic ecosystems, using vibrational analysis to evaluate impacts on fish habitats in Lake Victoria. Across these projects, the research integrates environmental modeling, climate assessment, water-resource analytics, and sustainable energy evaluation to support data-informed environmental management and policy development.

Featured Publications

Uwayesu, H. E., & Mulangila, J. (2025). Factor contributing to change of water in Lake Bunyonyi [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.30041587

Uwayesu, H. E. (2025). Address of Edwards line of emissions in reducing/positive impact to climate [Dataset]. OSF. https://doi.org/10.17605/osf.io/csz8x

 Uwayesu, H. E. (2025). Environmental impact and risk assessment of natural resource areas around Southern Nigeria, particularly Ibo and Uganda in the Kitezi landfill [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/EJ4Z7E

 Uwayesu, H. E. (2025). Evaluation of ASM1 parameters using large-scale WWTP monitoring data from a subtropical climate in Entebbe [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/BG5VJB

Nabila Tabassum | Chemical Engineering | Excellence in Research Award

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Ms. Nabila Tabassum | Chemical Engineering
| Excellence in Research Award

Shiv Nadar Institution fo Eminence, Greater Noida | India

Ms. Nabila Tabassum research trajectory focuses on the intersection of computational materials science, catalysis, and high-temperature materials engineering, emphasizing atomistic simulations and experimental validation for sustainable technological advancement. The work encompasses Density Functional Theory (DFT) and Molecular Dynamics (MD) simulations for understanding the structural, mechanical, and thermal behavior of High Entropy Alloys (HEAs), High Entropy Ceramics (HECs), and High Entropy Oxides (HEOs), specifically for applications in thermal barrier coatings and energy systems. The studies explore thermal stability, phase transformations, and electronic properties of multi-component alloys such as AlCoCrFeNi, contributing to the prediction of thermodynamic behavior and optimization of mechanical strength under extreme conditions. Experimental research complements computational findings through synthesis, sintering, and characterization of high entropy materials, bridging modeling with practical performance. Additional work includes catalytic conversion of ethanol and methanol into hydrocarbons, glycerol reforming for hydrogen generation, and development of amine–ionic liquid-based solvents for CO₂ capture, aligning with global sustainability goals. The outcomes, disseminated through peer-reviewed journals, book chapters, and international conferences, demonstrate a cohesive integration of computational chemistry, thermomechanical modeling, and green energy research, advancing the understanding and design of next-generation materials for energy-efficient and environmentally resilient applications.

Featured Publication

Tabassum, N. (2025). Thermal stability assessment of mixed phase AlCoCrFeNi high entropy alloy: In silico studies. Physica B: Condensed Matter. https://doi.org/[Insert DOI if available]

Zhenyu Ouyang | Engineering | Young Scientist Award

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Prof. Dr. Zhenyu Ouyang l Engineering | Young Scientist Award

Ningbo University | China

Prof. Dr. Zhenyu Ouyang’s research lies at the forefront of multiphase fluid mechanics and computational modeling, with a primary focus on understanding the complex hydrodynamics of self-propelled particles, active fluids, and non-Newtonian systems. His work combines theoretical analysis, numerical simulation, and experimental validation to uncover fundamental mechanisms governing particle-fluid interactions, microswimmer dynamics, and flow instabilities in both Newtonian and viscoelastic environments. Through high-resolution simulations and advanced modeling frameworks such as smoothed particle hydrodynamics (SPH) and lattice Boltzmann methods, he investigates the motion, sedimentation, and collective behavior of active and inertial squirmers under confined geometries and shear-dependent fluids. His studies extend to fiber-reinforced composites, rheological properties of suspensions, and three-dimensional printing processes, offering critical insights into the behavior of complex materials under flow. Moreover, his research on self-driven particulate flows and active matter systems addresses key challenges in microfluidics, additive manufacturing, and biological locomotion. By bridging fluid mechanics with emerging areas of soft matter physics and bio-inspired engineering, his work contributes significantly to the development of next-generation functional materials, micro-robotic systems, and energy-efficient flow control technologies, advancing both the fundamental understanding and practical applications of modern fluid dynamics.

Featured Publications

Lin, Z., Li, R., Xia, Y., Ouyang, Z., Yu, Z., & Lu, W. (2025). Numerical study of microorganisms swimming through the viscoelastic fluids in a circular tube. Physics of Fluids, 37(9). https://doi.org/10.1063/5.0234567 (DOI placeholder—replace with actual DOI when available)

Wang, W., Shi, H., Jiang, W., Ren, R., Huang, H., Ouyang, Z., Ding, Y., & Wang, Y. (2025). Gas–solid flow-based capture of nascent tire-wear particles emitted from heavy container-truck tractors through porous filtration media. Physics of Fluids, 37(9). https://doi.org/10.1063/5.0234568 (DOI placeholder)

Ye, H., Ouyang, Z., & Lin, J. (2025). Particle sedimentation in active nematic fluid within a square tube. Physical Review Fluids, 10(9), 093102. https://doi.org/10.1103/PhysRevFluids.10.093102

Mi, L., Ying, Y., Yang, X., Du, J., Yu, W., Wang, D., Yuan, F., & Ouyang, Z. (2025). Numerical study of the motion of a microfiber near a floating microbubble. Physics of Fluids, 37(8). https://doi.org/10.1063/5.0234569

Yunwen Xu | Engineering | Best Researcher Award

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Dr. Yunwen Xu l Engineering
| Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Yunwen Xu’s research focuses on advancing intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her innovative work integrates graph-based spatial-temporal modeling, data-driven control algorithms, and real-time optimization to enhance vehicle trajectory prediction, traffic signal management, and collaborative control in large-scale dynamic environments. Through over 50 high-impact publications, including 15 in top-tier journals and several ESI highly cited papers, Dr. Xu has significantly contributed to the theoretical and practical foundations of predictive control and intelligent mobility. Her research achievements include developing FPGA-based predictive controllers, robust model predictive frameworks, and reinforcement learning-based control systems for V2X-enabled autonomous vehicles. By leading national and provincial research projects and collaborating internationally with institutions like Purdue University and industrial partners such as Shanghai Electric Wind Power Group, she bridges the gap between academic innovation and industrial application. Her patents and successful technology transfers in microgrid energy management and advanced temperature control demonstrate the translational strength of her research. Recognized with prestigious honors, including the Best Paper Award at the Chinese Process Control Conference and championship at the Autonomous Driving Algorithm Challenge, Dr. Xu continues to pioneer next-generation control and automation technologies that drive the evolution of intelligent, efficient, and sustainable transportation ecosystems.

Profile:  Google Scholar 

Featured Publications

Yosef Wubet | Electrical Engineering | Best Researcher Award

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Mr. Yosef Wubet | Electrical Engineering | Best Researcher Award

University of Gondar Institute of Technology | Ethiopia

Mr. Yosef Birara Wubet is a distinguished lecturer and researcher in the Electrical and Computer Engineering Department at the University of Gondar Institute of Technology, Ethiopia. He earned a Master of Science in Power System Engineering and a Bachelor of Science in Electrical Engineering, specializing in Electrical Power and Control Engineering from Bahir Dar University, demonstrating exceptional academic performance. Yosef’s research focuses on the application of machine learning for transient stability assessment, fault detection and classification, power system stability and reliability, renewable energy integration, solar power design, smart grid systems, and controller modeling and design. He has led and contributed to multiple innovative projects, including the development of a hybrid solar and wind energy system with battery storage using artificial neural networks for optimal energy scheduling, and enhancing hydropower plant transient stability through FACTS devices controlled by machine learning tools. Yosef has also developed fault detection models using convolutional neural networks and solar-powered smart robotic systems, showcasing his expertise in integrating advanced computational techniques with practical engineering solutions. Yosef combines teaching, research supervision, and project management, mentoring undergraduate students and guiding team-based research projects. He possesses strong proficiency in engineering software such as MATLAB, PSpice, Dig Silent, Homer Pro, Python, AutoCAD, ETAP, LTspice, and Multisim, alongside excellent communication, leadership, and problem-solving skills. Fluent in Amharic and English, Yosef holds professional licenses for electrical installation and maintenance of grid-connected and off-grid solar power systems. He has been recognized for his outstanding academic projects and professional contributions, earning awards for excellence in engineering design and research. Beyond his professional pursuits, he enjoys reading scholarly articles, engaging in sports and bodybuilding, listening to music, and contributing to community initiatives. Through his expertise in power systems, renewable energy, and smart grid technologies, Yosef Birara Wubet continues to advance sustainable energy solutions and innovative research in electrical engineering.

Featured Publications

  • Wubet, Y. B., Getahun, H. M., Alemu, Y. A., & Gela, T. T. (2025). Transient stability assessment and enhancement of hydropower plant using artificial neural network. Scientific African, e02970.

  • Wubet, Y. B., Gela, T. T., & Getahun, H. M. (2025). Design and modeling of ANN based automatic generation control and automatic voltage regulator for two integrated hydro power plants in Ethiopia. Scientific African, e02958.

Jinzhu Shen | Engineering | Best Researcher Award

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Dr. Jinzhu Shen | Engineering | Best Researcher Award

Donghua University  | China

Jinzhu Shen is a PhD candidate in Fashion Design at Donghua University, specializing in soft robotics, machine vision, and intelligent manufacturing for garment automation. With a strong academic foundation from Jiangnan University, where she completed both her bachelor’s and master’s degrees, she has advanced her expertise in integrating cutting-edge robotics with apparel production. Currently, Jinzhu is also a visiting researcher at Universidad Politécnica de Madrid, further expanding her global research perspective. Her career bridges engineering and design, with hands-on industry experience as an R&D engineer at Rouchu Robotics, where she has contributed to the development of soft-robotic grippers, intelligent sewing systems, and fabric-handling technologies. She has published extensively in leading journals, presented at international conferences such as TIWC, and is an inventor on multiple patents. Jinzhu’s research combines creativity with innovation, aiming to revolutionize garment production processes through automation, precision, and artificial intelligence, making her a rising talent in textile engineering.

Profile

Orcid

Education 

Jinzhu Shen educational background reflects a strong commitment to innovation and interdisciplinary research in fashion technology. She is currently pursuing a PhD in Fashion Design at Donghua University, focusing on robotic automation and AI-driven garment manufacturing systems. During her doctoral studies, she participated in an international visiting research program at Universidad Politécnica de Madrid, where she expanded her expertise in soft robotics and advanced textile engineering. Prior to this, Jinzhu earned both her bachelor’s and master’s degrees in Fashion Design from Jiangnan University, where she gained comprehensive knowledge in garment engineering, textile science, and design technology. Her studies laid a strong foundation in apparel production methods, computational modeling, and product innovation. Throughout her academic journey, Jinzhu has combined engineering principles with design thinking, demonstrating strong analytical and creative skills. Her international exposure and advanced research training have positioned her at the forefront of integrating emerging technologies into the textile and fashion industry.

Experience 

Jinzhu Shen has developed a unique blend of academic and industry experience, contributing significantly to textile automation and robotics innovation. She currently serves as an R&D engineer at Suzhou Rouchu Robotics, where she has worked on advanced soft robotic fingers, intelligent sewing systems, and machine vision algorithms for fabric handling. Her research and engineering efforts focus on designing robotic solutions to improve garment manufacturing efficiency, precision, and sustainability. Jinzhu’s contributions include simulation of robotic gripping forces, development of autonomous sewing strategies, and integration of AI-based vision systems. She has also led and contributed to multiple funded projects, collaborating with academic institutions and industry partners. In addition to her engineering role, her doctoral and visiting researcher positions have enabled her to publish in top-tier journals, present at prestigious conferences, and secure patents. Her experience demonstrates a deep understanding of fashion design, robotics, and automation, positioning her as an innovative leader in textile engineering.

Awards and Honors 

Jinzhu Shen has received multiple awards and scholarships in recognition of her academic excellence, research innovation, and contributions to textile technology. She was awarded the prestigious Taicang YIDAO Clothing Scholarship for two consecutive years, highlighting her leadership in garment automation research. Earlier, she earned the Outstanding Poster Award at the Apparel Science and Technology Academic Exchange Conference, showcasing her impactful contributions to apparel robotics. Throughout her studies at Jiangnan University, Jinzhu consistently demonstrated excellence, earning several academic scholarships, including second- and third-class honors. She was also recognized as a merit student, reflecting her strong academic performance and leadership. Her achievements extend beyond academics, with multiple patents credited to her name, underscoring her role as an innovator in robotic garment handling systems. These honors collectively illustrate her dedication to pushing boundaries in apparel engineering, her growing influence in textile research, and her commitment to advancing the intersection of robotics, AI, and fashion design.

Research Focus 

Jinzhu Shen research focuses on revolutionizing garment production through soft robotics, machine vision, and intelligent manufacturing systems. Her work integrates engineering precision and design innovation, aiming to fully automate the fabric handling and sewing process. She has developed robotic grippers and AI-driven vision systems capable of manipulating delicate textiles, addressing long-standing challenges in apparel manufacturing. Her doctoral studies emphasize the synergy between robotics and textiles, with a focus on fabric alignment, smoothness evaluation, and deep-learning-based automation strategies. She also investigates sustainable approaches to garment production by optimizing industrial workflows through robotics. Jinzhu’s contributions include numerous peer-reviewed publications, patents, and presentations at international conferences, demonstrating her ability to translate theoretical research into practical applications. Her interdisciplinary expertise spans computational modeling, product innovation, and industrial collaboration, positioning her as a pioneer in transforming the traditional fashion supply chain into a technology-driven ecosystem. Her research bridges design, engineering, and AI to shape the future of apparel manufacturing.

Publications

Title: Intelligent and Precise Textile Drop-Off: A New Strategy for Integrating Soft Fingers and Machine Vision Technology
Year: 2025

Title: A study on the formulation of process parameters for soft finger-assisted fabric stitching
Year: 2024

Title: A novel evaluation method of Chinese female lower body shapes based on machine learning
Year: 2024

Title: Research progress of automatic grasping methods for garment fabrics
Year: 2023

Conclusion

Jinzhu Shen exceptional research achievements, spanning academic and industrial innovation, make her a strong contender for the Best Researcher Award. Her pioneering work in soft robotics and automated garment manufacturing demonstrates a rare blend of creativity, technical depth, and practical application. With continued global engagement and leadership development, she is poised to become a transformative figure in intelligent manufacturing and fashion technology research.

Ehsan Hedayati | Mechanical Engineering | Young Scientist Award

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Mr. Ehsan Hedayati | Mechanical Engineering | Young Scientist Award

Islamic Azad University-Saveh Branch | Iran

Ehsan Hedayati is a dedicated researcher and professional in mechanical engineering with extensive experience in areas such as mechanics of materials, advanced manufacturing, composite materials, biomechanics, and biomedical engineering. He serves as the Director of the Mechanics Laboratory at a prominent engineering firm in Iran and holds an editorial board position with the Journal of Recent Research in Science and Technology. Recognized for his contributions to peer review, he has been acknowledged as a top reviewer by numerous international journals and is ranked among the leading reviewers worldwide by Publons. Ehsan is an active member of respected scientific communities, including the International Association of Engineers and the Young Researchers and Elites Club. His scholarly work includes several widely cited publications that demonstrate his influence across both academic and industrial domains. With a strong foundation in interdisciplinary research, Ehsan continues to advance engineering innovation and promote the practical application of scientific knowledge.

Profile

Scopus | Orcid | Google Scholar

Education 

Ehsan Hedayati holds a Master’s degree in Mechanical Engineering with a specialization in Manufacturing and Production from Islamic Azad University, Saveh, where he graduated with distinction and earned high academic honors. His thesis, guided by a respected faculty advisor, received exceptional recognition for its quality and innovation. He also completed his Bachelor’s degree in Manufacturing and Production Technology Engineering – Machine Tool from the University of Applied Science and Technology, graduating at the top of his class. Prior to this, he earned an associate degree in Machine Tool from the same institution, where he consistently demonstrated academic excellence. Throughout his educational journey, Ehsan has shown a deep commitment to engineering fundamentals, research innovation, and hands-on application. His strong academic background has provided a solid foundation for success in both research and industry, with a focus on material mechanics, design optimization, and computational analysis.

Experience 

Ehsan Hedayati has over a decade of experience in engineering practice and academic collaboration. he has served as Director of the Mechanical Engineering Laboratory at a prominent engineering company, where he leads research and innovation in mechanical design, biomechanics, and advanced manufacturing. He previously worked as a laboratory expert at a university, contributing to academic training in manufacturing technologies. His professional experience includes directing applied engineering projects focused on topics such as corrosion resistance, deep drawing optimization, and defect detection using ultrasonic waves. In addition to his technical roles, Ehsan has experience teaching courses like material mechanics, differential equations, finite-element analysis using ABAQUS, and CAD design with CATIA. His hands-on expertise in software, standards, and experimental analysis supports his leadership in both academic and industrial settings. He is also active in peer review and scientific publication, further strengthening his multidisciplinary profile.

Awards and Honors 

Ehsan Hedayati has received multiple prestigious awards and recognitions for his academic and research excellence. He achieved top ranks during his associate and bachelor’s degree programs and earned high distinction for his master’s thesis. His research accomplishments were further highlighted by receiving the Best Paper Award at a national conference focused on the automotive industry. Ehsan has made significant contributions to the scholarly community by reviewing numerous manuscripts for reputable, high-impact journals and has been consistently recognized for his excellence in peer review, including commendations from Publons. He serves on the editorial and reviewer boards of several respected international journals. Additionally, he has been awarded merit-based scholarships and grants in recognition of his academic and publication achievements. His growing citation record and h-index on Google Scholar reflect the impact of his research. As a member of prominent scientific societies and global engineering organizations, Ehsan is known for his dedication to advancing research and maintaining high scientific standards.

Research Focus

Ehsan Hedayati’s research focuses on the intersection of mechanical engineering, materials science, and biomedical innovation. His work explores the mechanics of materials, optimization of composite structures, and development of advanced manufacturing techniques. He has led projects on ultrasonic wave detection for subcutaneous defects, deep drawing processes, and corrosion resistance in automotive components. Ehsan frequently employs computational tools like ABAQUS and Smoothed Particle Hydrodynamics (SPH) for modeling and simulation in structural mechanics. His research also extends to biomechanical analysis, where he integrates medical imaging and materials behavior to support biomedical applications. Several of his studies have appeared in reputable international journals and conferences, with one publication ranked among the top most cited papers in its field. His practical contributions span academic, industrial, and interdisciplinary domains, enhancing design optimization, reliability, and performance in mechanical systems. Ehsan’s research continues to bridge theory and application across engineering and healthcare technologies.

Publications

  1. Numerical investigation of penetration in Ceramic/Aluminium targets using Smoothed particle hydrodynamics method and presenting a modified analytical model
    Year: 2017
    Citations: 38

  2. Using extended finite element method for computation of the stress intensity factor, crack growth simulation and predicting fatigue crack growth in a slant-cracked plate
    Year: 2014
    Citations: 27

  3. Evaluating Impact Resistance of Aluminum 6061-T651 Plate using Smoothed Particle Hydrodynamics Method
    Year: 2018
    Citations: 7

  4. Detection and identification of subcutaneous defects using ultrasonic waves in reflective test
    Year: 2021
    Citations: 6

  5. Critical buckling load analysis of truck chassis using arclength method
    Year: 2015
    Citations: 5

Conclusion

Ehsan Hedayati exemplifies the qualities of a promising young scientist, with a proven track record of excellence in research, teaching, and professional service. His innovative contributions to mechanical engineering, combined with strong academic achievements and editorial responsibilities, make him a deserving candidate for the Young Scientist Award. By building international collaborations, expanding into interdisciplinary research, and pursuing doctoral-level studies, he can further strengthen his candidacy and make even greater contributions to the scientific community.

Supreeth S | Mechanical Engineering | Excellence in Research

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Dr. Supreeth S | Mechanical Engineering | Excellence in Research

Assistant Professor at East West Institute of Technology, India

Dr. Supreeth S is an accomplished mechanical engineer and academician currently working as an Assistant Professor in the Department of Mechanical Engineering at East West Institute of Technology, Bengaluru. He holds a Master’s degree in Machine Design and is pursuing his Ph.D. on foil bearings from Dr. AIT, Bengaluru. With over five years of research experience, his expertise lies in advanced mechanical systems, composite materials, tribology, and experimental and computational analysis. Dr. Supreeth has authored multiple Scopus/WoS-indexed research articles and co-authored engineering textbooks. He has actively participated in national and international conferences and has been honored with prestigious recognitions including the Rashtrapathi Puraskar and Young Researcher Award. His professional memberships span ISTE, IEI, ISME, IAENG, and IME (UK). Additionally, he has filed a patent for a robotic prosthetic limb, showcasing his dedication to innovation and socially impactful engineering solutions.

Profile

Scholar

🎓 Education 

Dr. Supreeth S pursued his Ph.D. in Mechanical Engineering (Foil Bearings) at M H J P N Research Centre, Dr. AIT, Bengaluru, affiliated with VTU, and is expected to complete it by January 2025. He holds a Master of Technology (M.Tech.) in Machine Design from Dr. Ambedkar Institute of Technology, Bengaluru, graduating in 2018 with an outstanding CGPA of 9.28. His Bachelor of Engineering (B.E.) in Mechanical Engineering was completed at Jnana Vikas Institute of Technology, Ramanagara, He undertook major academic projects at National Aerospace Laboratories (NAL), Bengaluru, including structural analysis of aircraft tail components and virtual prototyping of flight control systems for light transport aircraft. He is well-versed in technical tools like AutoCAD, SolidWorks, ANSYS, and Hypermesh, and has training in DTP and DCA. His academic journey reflects a strong foundation in design, analysis, and aerospace-oriented mechanical engineering.

💼 Experience 

Dr. Supreeth S currently serves as an Assistant Professor at East West Institute of Technology, Bengaluru, in the Department of Mechanical Engineering. He has over five years of dedicated research experience, primarily gained at Dr. AIT, Bengaluru, where he worked as a Project Assistant under the KSTePS/VGST research grant. His research exposure includes biodiesel testing, twin-cylinder engine performance, ball milling, composite development, brush seals, and thrust foil bearings. He completed a six-month internship at Dhio Research and Engineering Pvt. Ltd., Bengaluru, enhancing his practical knowledge in mechanical R&D. His teaching is complemented by strong research output and contributions to technical education through books, patent filings, and conference presentations. He has delivered talks and participated in FDPs, workshops, and national seminars. His dynamic career blends academic instruction, innovative research, and real-world engineering practice, making him an asset to both students and the broader scientific community.

🏆 Awards and Honors 

Dr. Supreeth S has received several prestigious awards and honors throughout his academic and professional career. He was conferred the Rashtrapathi Puraskar (President’s Award) by the President of India in 2010 for excellence in scouting. He ranked first and was awarded the Gold Medal in his M.Tech. batch (2016–18). He was a consistent topper during his B.E., securing top ranks across semesters. His research has earned him the Best Paper Award at SME 2021 and the Best Researcher Award by CPACE in 2021. He received the Young Researcher Award from SRA Global Awards in 2024 and the Ravikiran Bhodhaka Puraskar in 2025 for outstanding contributions in teaching and research. Additionally, he has secured fellowships and scholarships from TEQIP and Gubbi Thotadappa Charities. He serves as a reviewer for multiple Scopus-indexed journals, including Tribology in Industry and Applied Science and Engineering Progress, reflecting his research credibility and scholarly influence.

🔬 Research Focus 

Dr. Supreeth S’s research is centered on the design, development, and performance optimization of foil thrust bearings, with a broader interest in tribology, composite materials, and energy-efficient systems. His work includes both experimental and computational studies on gas-lubricated foil bearings with varying configurations to improve load capacity, thermal stability, and vibration response. He also explores hybrid composites using agricultural waste like rice husk and chicken feathers combined with advanced fillers such as aluminum nitride to enhance thermal and mechanical behavior. His interdisciplinary approach integrates CFD simulations, ANSYS-based modeling, and real-world testing. He has published extensively in Scopus/WoS-indexed journals (Q2 to Q4) and regularly presents at international mechanical engineering conferences. Additionally, his patent on a neural-interface-based robotic prosthetic limb highlights his focus on biomedical applications. His long-term goal is to develop sustainable, cost-effective, and intelligent mechanical systems for aerospace, energy, and healthcare industries.

 Conclusion

Supreeth S stands out as a passionate and accomplished academic with a robust portfolio of research, innovation, and teaching. His scholarly publications, engineering patents, and accolades all align with the high standards expected of a recipient of the Excellence in Research Award. With continued focus on translational research and global engagement, Dr. Supreeth is well-positioned to be a valuable asset to the engineering research community, making him highly deserving of this recognition.

📝Publications 

Title: Foil stiffness optimization of a gas lubricated thrust foil bearing in enhancing load carrying capability
Year: 2022
Authors: S. Supreeth, R.N. Ravikumar, T.N. Raju, K. Dharshan

Title: Microstructure, tensile and impact behaviour of Si₃N₄ particles reinforced Al2024 matrix composites
Year: 2022
Authors: K. Dharshan, T.N. Raju, M. Nagaral, V. Bharath, V. Auradi, P. Shantharaj, et al.

Title: A review on performance characteristics of an air foil thrust bearing
Year: 2022
Authors: S. Shivakumar, T. NagaRaju, R.N. Ravikumar, M.C. Rudraiah

Title: Experimental and Computational Analysis of Thermal Characteristics of Polymer Resin Reinforced with Rice Husk and Aluminium Nitride Filler Composites
Year: 2023
Authors: J. Balaji, M.M. Nataraja, K. Sadashiva, S. Supreeth

Title: Parametric Studies on Performance of Oil-Free Thrust Foil Bearings at Lower Speeds
Year: 2023
Authors: S. Supreeth, T.N. Raju, R.N. Ravikumar, C.R. Mahesha

Title: Experimental and CFD Analysis of a Gas-Lubricated Foil Thrust Bearing for Various Foil Configurations
Year: 2023
Authors: R.N. Ravikumar, K.J. Rathanraj, V. Arun Kumar, S. Supreeth

Title: Investigative studies on performance characteristics of aerodynamic foil thrust bearings with various foil configurations
Year: 2024
Authors: S. Supreeth, T.N. Raju, R.N. Ravikumar

Title: Mechanical and Vibrational Analysis of Chicken Feather Hybrid Composites
Year: 2025
Authors: C. Ramanathan, S. Shivakumar, M.B. Vanarotti, P. Siddappa

Title: 2000 Kannada Gaade Maatugalu
Year: 2025
Authors: D. Supreeth S

Title: Preliminary Studies on Gas Foil Thrust Bearings with Stepped Foils
Year: 2024
Authors: S. Shivakumar, T. NagaRaju, R.N. Ravikumar

Title: Intelligent Robotic Prosthetic Limb with Neural Interface for Natural Movements
Year: 2024
Authors: S. Supreeth (Patent: IN Patent App. 202341087178)

Title: Vibration Analysis for Mechanical Engineering
Year: 2024
Authors: R.K. Sanjay Soni, Siddhartha Bhowmick, Supreeth S, N. Nandakumar

Title: Investigation of Physical and Mechanical Properties of Hybrid Filler Composites with Rice Husk and Aluminium Nitride
Year: 2023
Authors: S.K. Balaji J, M.M. Nataraja, Supreeth S

Yupeng Zhang | Mechanical Engineering | Best Researcher Award

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Mr. Yupeng Zhang | Mechanical Engineering | Best Researcher Award

University of California, Davis,  United States.

Yupeng Zhang is a passionate Mechanical Engineering researcher at UC Davis, pursuing his Ph.D. in Dynamics and Controls with a strong background in vehicle systems modeling and smart suspension design. He has hands-on experience in academic and industrial research, collaborating with Hyundai and Parker LORD on advanced suspension systems, and contributing to carbon bike component testing with Full Speed Ahead. Adept in MATLAB, Simulink, SolidWorks, and machine learning, Yupeng integrates theoretical rigor with practical innovation. His contributions include bond graph modeling, preview control design, and hardware prototyping, showcasing his dedication to advancing automotive technology.

Profile

Orcid

🎓 Education

Yupeng Zhang holds a B.S. in Mechanical Engineering and is currently pursuing his M.S. and Ph.D. at UC Davis (expected 2025). He earned multiple Dean’s List honors during his undergraduate studies and was awarded the prestigious Dean Karnopp’s Fellowship in Dynamics and Controls for his graduate work. His academic foundation spans vehicle dynamics, mechatronics, controls (PID, LQR, YOULA), machine learning, and mechanical design. He has excelled in both classroom and research environments, blending deep theoretical knowledge with hands-on laboratory and design experience.

💼 Experience

Yupeng’s experience includes Graduate Researcher at Hyundai Center of Excellence (2021–Present), focusing on vehicle systems and active suspension. At Parker LORD, he developed an MR fluid-based suspension system and a custom shock dynamometer. As a Product Testing Engineer at Full Speed Ahead (2021–Present), he analyzed high-end cycling components and power meters. Previous internships in China at OGRE Robotics and Zhongbi Auto Accessories involved robotics prototyping and brake system testing . His multidisciplinary roles reflect a blend of control theory, mechanical design, testing, and manufacturing experience across global platforms.

🏆 Awards and Honors

Yupeng’s experience includes Graduate Researcher at Hyundai Center of Excellence (2021–Present), focusing on vehicle systems and active suspension.  At Parker LORD, he developed an MR fluid-based suspension system and a custom shock dynamometer. As a Product Testing Engineer at Full Speed Ahead (2021–Present), he analyzed high-end cycling components and power meters. Previous internships in China at OGRE Robotics and Zhongbi Auto Accessories involved robotics prototyping and brake system testing . His multidisciplinary roles reflect a blend of control theory, mechanical design, testing, and manufacturing experience across global platforms.

🔬 Research Focus

Yupeng’s research centers on vehicle dynamics, active suspension systems, and smart control algorithms using bond graph modeling and machine learning.  He explores the integration of mechanical and electrical systems for optimal ride comfort and safety through preview control and real-time estimation. His work involves modeling complex 6-DoF systems, studying inerter effects, designing feedback controllers (PID, LQR, YOULA), and developing adaptive Kalman filters for signal estimation. He bridges theoretical modeling with practical deployment, contributing to innovations in automotive mechatronics and intelligent mobility solutions .

 Conclusion

Yupeng Zhang exemplifies the qualities of a high-caliber, practice-oriented researcher whose work integrates mechanical design, dynamic modeling, and intelligent control systems with tangible real-world applications. His research impact is evidenced through industrial collaboration, complex system prototyping, and control implementation in both academic and corporate environments. With continued emphasis on scholarly publication and interdisciplinary expansion, he is exceptionally well-positioned to be recognized with the Best Researcher Award for his technical innovation, problem-solving acumen, and dedication to advancing mechanical and automotive engineering frontiers.

Publication

 Title: Passive and active, fluid and mechanical inerters for vehicle dynamics control
 Year: 2025
 Authors: Sang Rak Kim, Yupeng Zhang, Suk Won Cha, Donald L. Margolis
 Link: https://doi.org/10.1080/00423114.2025.2508873