Dinesh Babu M | Engineering | Best Researcher Award

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Dr. Dinesh Babu M | Engineering | Best Researcher Award

Rajalakshmi Institute of technology | India 

Dr. M. Dinesh Babu, B.E., M.Tech., Ph.D., is a distinguished academic and researcher recognized among the Top 2% Scientists Worldwide in the subfield of Energy for the year 2023 by Elsevier and Stanford University. He holds a Ph.D. in Energy Systems Engineering from the College of Engineering, Anna University, Chennai, where his doctoral research focused on “Studies on the Effect of Internal Longitudinal Fins and Nanoparticles on the Performance of Solar Flat Plate Collectors.” He also holds an M.Tech. in Energy Systems Engineering from Vellore Institute of Technology (VIT), Vellore, and a B.E. in Mechanical Engineering from Sriram Engineering College, University of Madras, both with First Class distinction. With over 21 years of teaching and research experience, Dr. Dinesh Babu has served in reputed institutions such as Dr. M.G.R. University, Sathyabama University, R.M.K. Engineering College, Panimalar Engineering College, and currently, as a Professor at Rajalakshmi Institute of Technology, Chennai. His academic contributions encompass teaching core subjects like Heat and Mass Transfer, Thermodynamics, Thermal Engineering, Power Plant Engineering, Machine Design, Manufacturing Technology, Environmental Science, and Entrepreneurship Development. Dr. Babu has an outstanding research profile with 93 publications in Scopus, SCI, and Web of Science-indexed journals, achieving a cumulative impact factor of 302.54. His research has garnered over 3,500 citations on Google Scholar (h-index: 32, i10-index: 52), 3,177 citations on Scopus (h-index: 31), and 2,978 citations with 15,220 reads on ResearchGate. He has also published two patents and has four ongoing research papers under review. He currently supervises four Ph.D. research scholars registered under Anna University (Supervisor ID: 3120042). His research interests include renewable energy systems, solar thermal engineering, nanofluids, biofuels, combustion and emission analysis, and sustainable manufacturing. Dr. Babu has designed innovative projects such as a 50 LPD copper solar water heater with a ladder-type heat exchanger and has secured funding through initiatives like the RIT-FIT Seed Money Fund and a SERB project proposal worth ₹16.1 lakhs. An active academic contributor, Dr. Babu serves as a Doctoral Committee Member at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, and frequently participates as a resource person and reviewer for journals and research programs. He has completed multiple Elsevier Research Academy certifications on topics such as producing highly visible research, academia–industry collaboration, journal impact metrics, and open hardware innovation. Dr. M. Dinesh Babu’s exemplary academic dedication, prolific research output, and consistent pursuit of innovation in the field of energy systems engineering have earned him a reputation as one of India’s leading scholars in sustainable and renewable energy technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Yuvarajan, D., Babu, M. D., Beem Kumar, N., & Kishore, P. A. (2018). Experimental investigation on the influence of titanium dioxide nanofluid on emission pattern of biodiesel in a diesel engine. Atmospheric Pollution Research, 9(1), 47–52.

Radhakrishnan, S., Munuswamy, D. B., Devarajan, Y., T., A., & Mahalingam, A. (2018). Effect of nanoparticle on emission and performance characteristics of a diesel engine fueled with cashew nut shell biodiesel. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 40, 1–10.

Sathiyamoorthi, R., Sankaranarayanan, G., Munuswamy, D. B., & Devarajan, Y. (2021). Experimental study of spray analysis for Palmarosa biodiesel‐diesel blends in a constant volume chamber. Environmental Progress & Sustainable Energy, 40(6), e13696.

Devarajan, Y., Munuswamy, D. B., & Mahalingam, A. (2018). Influence of nano-additive on performance and emission characteristics of a diesel engine running on neat neem oil biodiesel. Environmental Science and Pollution Research, 25(26), 26167–26172.

Devarajan, Y., Munuswamy, D. B., Nagappan, B., & Pandian, A. K. (2018). Performance, combustion and emission analysis of mustard oil biodiesel and octanol blends in diesel engine. Heat and Mass Transfer, 54(6), 1803–1811.

Devarajan, Y., Munuswamy, D. B., & Mahalingam, A. (2019). Investigation on behavior of diesel engine performance, emission, and combustion characteristics using nano-additive in neat biodiesel. Heat and Mass Transfer, 55(6), 1641–1650.

Pandian, A. K., Munuswamy, D. B., Radhakrishnan, S., & Devarajan, Y. (2018). Emission and performance analysis of a diesel engine burning cashew nut shell oil biodiesel mixed with hexanol. Petroleum Science, 15(1), 176–184.

Devarajan, Y., Mahalingam, A., Munuswamy, D. B., & Arunkumar, T. (2018). Combustion, performance, and emission study of a research diesel engine fueled with palm oil biodiesel and its additive. Energy & Fuels, 32(8), 8447–8452.

Kicheol Lee | Engineering | Best Researcher Award

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Dr. Kicheol Lee | Engineering | Best Researcher Award

Dr. Kicheol Lee | Halla University/RISE Project Group | South Korea

Dr. Kicheol Lee is a research professor specializing in civil and structural engineering, with a strong record in foundation engineering, numerical modelling, and new technology development. His work spans artificial intelligence (machine learning, deep learning), probabilistic and statistical methods, field applications in geotechnical/tunnel/foundation engineering, and reliability-based design (LRFD). He has been recognized with multiple best paper and presentation awards from the Korea Geosynthetics Society and the Korea Geotechnical Society. His expertise in numerical simulation (particularly via ABAQUS), and integration of AI/ML with civil engineering systems, has made him a leading figure in predictive modeling, anomaly detection, and structural reliability. Dr. Lee’s contribution lies in bridging advanced computational methods with practical engineering challenges, especially in ensuring safety, resilience, and sustainability of infrastructure. Dr. Lee’s current research is deeply interdisciplinary, merging geotechnical engineering, structural health monitoring, and intelligent systems to create safer, data-driven infrastructure solutions.His ongoing work under the Gangwon RISE Project aims to transform urban safety and sustainability by employing augmented and virtual reality technologies for real-time disaster visualization and early warning.

Author’s Profile

Scopus | Orcid

Early Academic Pursuits

Dr. Kicheol Lee began his academic journey in Civil and Environmental Engineering at Incheon National University, where he earned his Bachelor’s degree (2015), Master’s degree (2017), and Doctorate (Ph.D., 2021). His early research concentrated on geotechnical and foundation engineering, particularly the mechanical behavior of pile groups and the evaluation of soil–structure interactions through numerical and experimental methods. His doctoral dissertation, “Evaluation of Resistance Factors of Pile Groups Consisting of Drilled Shafts Embedded in Sandy Ground under Axial Load through Numerical Analysis,” established his expertise in reliability-based foundation design (LRFD) and computational modeling using ABAQUS, laying the groundwork for his later innovations in smart infrastructure systems.

Professional Endeavors

Dr. Lee’s professional career seamlessly bridges academia, industry, and national research initiatives, reflecting his commitment to advancing digitally enhanced civil infrastructure technologies. He currently serves as a Research Professor at Halla University under the RISE Project Group (since September 2025), where he leads the Gangwon RISE Project focused on developing advanced safety and green city technologies through the integration of Digital Twin and 3D data. Prior to this role, he was a Principal Researcher at the Korea Institute of Structural Integrity Research (2024–2025), where he led national R&D projects centered on innovative construction technologies and safety inspection systems. From 2021 to 2024, he served as Research Director at UCI Tech Co., Ltd., managing government-funded initiatives that merged IoT and augmented reality (AR) technologies for infrastructure maintenance and smart monitoring applications. Across these roles, Dr. Lee has demonstrated a clear progression from applied geotechnical engineering toward the fusion of engineering mechanics, intelligent systems, and data science to create more resilient, sustainable, and intelligent civil infrastructure.

Contributions and Research Focus

Dr. Lee’s interdisciplinary research bridges geotechnical engineering with artificial intelligence, probability, and information technologies to develop data-driven and intelligent systems for the monitoring, design, and maintenance of civil infrastructures. His expertise spans artificial intelligence—particularly the application of convolutional and recurrent neural networks (CNNs and RNNs) for anomaly detection, predictive modeling, and data-driven decision-making in structural health monitoring—as well as foundation and tunnel engineering, focusing on advanced modeling and soil–structure interaction analysis. He is also skilled in numerical analysis using ABAQUS to simulate complex geotechnical phenomena and evaluate soil–structure responses. In addition, Dr. Lee integrates reliability and probabilistic design principles through statistical modeling, Monte Carlo simulations, and Bayesian inference within LRFD-based design frameworks. His innovative contributions extend to smart infrastructure and safety systems, including the development of AI-enabled inspection robots, reversible thermochromic materials for black-ice prevention, and UAV-based soil monitoring systems utilizing hyperspectral imaging. He has led or contributed to 11 major national R&D projects funded by various Korean ministries—including those of Education, Environment, Land, Transport, Industry, and SMEs & Startups—addressing challenges in smart cities, environmental protection, and disaster prevention, all aimed at advancing sustainable and resilient civil infrastructure.

Impact and Influence

Dr. Lee’s scholarly influence is reflected in his prolific publication record, with over 50 peer-reviewed journal papers—15 indexed in SCI/SCI(E), 34 in Korean journals, and 2 in Scopus. His research has appeared in leading international journals such as Applied Sciences, Sustainability, Remote Sensing, Polymers, and Tunnelling and Underground Space Technology. His academic excellence has been recognized through several prestigious awards, including the Best Paper Presentation Awards from the Korea Geosynthetics Society and the Korea Geotechnical Society in 2020, and the Best Paper Award from the Korea Geosynthetics Society in 2019. Complementing his scholarly achievements, Dr. Lee holds 15 registered patents in the Republic of Korea, showcasing his technological innovation in civil engineering through the development of smart barriers, reversible paints for road safety, and advanced pile systems. Beyond research, he actively contributes to the professional community as an Editorial Board Member of the Korea Geosynthetics Society (2024–Present), and as Assistant Administrator of both the Low-Carbon Construction Committee and the Incheon Regional Committee of the Korean Geotechnical Society (since 2023). Through these roles, Dr. Lee fosters academic collaboration, encourages the dissemination of innovation, and advances sustainable engineering practices in the civil infrastructure domain.

Academic Cites

Dr. Lee’s work is frequently cited in research concerning geotechnical reliability, foundation engineering, and smart civil technologies. His papers on hyperspectral soil analysis and negative skin friction in piles have become valuable references in data-integrated geotechnical research. By bridging machine learning with traditional civil engineering models, his methodologies have influenced new approaches to predictive maintenance and risk-based infrastructure management in both academia and industry.

Legacy and Future Contributions

Dr. Kicheol Lee embodies a new generation of civil engineers who seamlessly integrate artificial intelligence, sustainability, and resilience into traditional infrastructure systems. His pioneering work on AI-driven monitoring, Digital Twin simulations, and smart geotechnical materials is reshaping the future of infrastructure safety and environmental protection. Looking ahead, Dr. Lee aspires to expand the application of augmented reality (AR) and digital twin technologies for real-time disaster prediction and response, develop autonomous robotic systems for structural inspection and maintenance, and contribute to global initiatives promoting smart and sustainable urban development in the face of climate change. His long-term vision is centered on building data-informed, intelligent, and resilient civil infrastructure systems that not only enhance public safety and operational efficiency but also minimize environmental impact—paving the way for the realization of next-generation smart and sustainable cities.

Featured Publications

Lee, K. (2024). Verification of construction method for smart liners to prevent oil spill spread in onshore. Sustainability, 16(23), 10626. https://doi.org/10.3390/su162310626

Lee, K. (2023). Proposal of construction method of smart liner to block and detect spreading of soil contaminants by oil spill. International Journal of Environmental Research and Public Health, 20(2), 940. https://doi.org/10.3390/ijerph20020940

Lee, K. (2022). Spectrum index for estimating ground water content using hyperspectral information. Sustainability, 14(21), 14318. https://doi.org/10.3390/su142114318

Lee, K. (2022). Prediction of ground water content using hyperspectral information through laboratory test. Sustainability, 14(17), 10999. https://doi.org/10.3390/su141710999

Lee, K. (2021). Analysis of vertical earth pressure acting on box culverts through centrifuge model test. Applied Sciences, 12(1), 81. https://doi.org/10.3390/app12010081

Lee, K. (2020). Numerical analysis of the contact behavior of a polymer-based waterproof membrane for tunnel lining. Polymers, 12(11), 2704. https://doi.org/10.3390/polym12112704

Lee, K. (2020). Analysis of effects of rock physical properties changes from freeze–thaw weathering in Ny-Ålesund region: Part 2—Correlations and prediction of weathered properties. Applied Sciences, 10(10), 3392. https://doi.org/10.3390/app10103392

Lee, K. (2020). Analysis of effects of rock physical properties changes from freeze–thaw weathering in Ny-Ålesund region: Part 1—Experimental study. Applied Sciences, 10(5), 1707. https://doi.org/10.3390/app10051707

Abdul Haseeb | Engineering | Best Researcher Award

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Mr. Abdul Haseeb | Engineering | Best Researcher Award

Mr. Abdul Haseeb | University of Engineering and Technology | Pakistan

Mr.  Abdul Haseeb is a passionate and dedicated mechanical engineering student at the University of Engineering and Technology, Mardan. He strives to combine theoretical knowledge with practical skills to design innovative mechanical systems. Being fluent in English, Urdu, and Pushto, and with basic proficiency in Russian, Abdul excels in collaborating across diverse environments. His commitment to continuous learning, teamwork, and hands-on engineering makes him a promising young talent in the field. Whether solving complex mechanical problems or experimenting with equipment, Abdul approaches every challenge with enthusiasm and a strong drive for excellence.

Profile

Orcid

Education

Mr. Abdul is currently pursuing a degree in Mechanical Engineering at the University of Engineering and Technology, Mardan, where he has developed expertise in CAD design and engineering principles. Prior to this, he completed his FSc at Government Post Graduate College, Mardan, where he strengthened his leadership skills as a class representative. His academic foundation began at Army Public School and College, where he actively participated in debates, science fairs, and community-building activities. These experiences have shaped his analytical thinking, problem-solving abilities, and passion for mechanical innovation.

Experience

Although in the early stages of his professional journey, Abdul has built a strong technical foundation through academic projects and personal initiatives. His experience includes working with CAD tools such as SolidWorks and AutoCAD, performing engineering analysis in areas like statics, dynamics, and thermodynamics, and applying programming skills in C language. His growing expertise in simulations and research equips him to handle academic and industry-related challenges effectively. Through consistent learning and practice, Abdul continues to strengthen his practical knowledge and technical confidence, preparing for future engineering opportunities.

Research Interest

Mr. Abdul’s research interests are centered on mechanical systems design, CAD modeling and simulation, and the creation of sustainable and efficient mechanical solutions. He is intrigued by integrating engineering design with computational tools and programming to solve real-world challenges. His curiosity extends to automation and robotics, where he aims to explore advanced simulation and optimization techniques. Abdul aspires to contribute to innovative research that bridges traditional mechanical engineering principles with modern digital advancements, driving progress in the field.

Awards

Mr. Abdul has been recognized for his academic excellence, leadership, and extracurricular engagement throughout his education. At the university, his performance in CAD earned high distinction. In college, he served as a class representative, demonstrating leadership and organizational skills. During his school years, he actively participated in debates, speeches, and science exhibitions, gaining recognition for his innovative thinking and teamwork. These achievements reflect his adaptability, determination, and commitment to continuous personal and academic growth.

Publication 

Title: Drone Frame Optimization via Simulation and 3D Printing
Authors: Faris Kateb, Abdul Haseeb, Syed Misbah-Un-Noor, Bandar M. Alghamdi, Fazal Qudus Khan, Bilal Khan, Abdul Baseer, Masood Iqbal Marwat, Sadeeq Jan
Journal: Computers – MDPI

Conclusion

Mr. Abdul Haseeb represents the qualities of a dedicated learner and emerging mechanical engineer. With a strong academic foundation, practical technical skills, and a vision for innovative solutions, he is well-prepared to make meaningful contributions to the field. His adaptability, collaborative approach, and passion for continuous growth position him as a future leader in mechanical engineering. As he progresses in his academic and professional journey, Abdul remains committed to using his skills to create impactful engineering solutions that benefit both industry and society.

Mr. Mizuki Kasuya | Reliability Engineering | Best Researcher Award

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Mr. Mizuki Kasuya | Reliability Engineering | Best Researcher Award

The University of Electro-Communications, Japan.

Mizuki Kasuya is a PhD candidate at the University of Electro-Communications, Tokyo, specializing in reliability engineering. His research focuses on optimizing maintenance policies for complex systems, improving infrastructure resilience and cost efficiency. Kasuya has published multiple peer-reviewed articles, including in Mathematics, and contributed to two book chapters published by Springer. His work has demonstrated that cost-efficient maintenance strategies can significantly reduce operational costs (e.g., 9.9% savings for wind turbine systems). Internationally recognized for his contributions, he has received three awards, including the Outstanding Young Scientist Award from the IEEE Reliability Society Japan Joint Chapter.

Profile

Scopus
Google Scholar

🎓 Education

Currently, a PhD Candidate at the University of Electro-Communications, Tokyo, specializing in advanced engineering and technology research. Previously completed a Master’s Degree in Reliability Engineering and a Bachelor’s Degree in Engineering from the same institution. With a strong foundation in engineering principles and reliability analysis, their academic journey focuses on enhancing system durability, optimizing engineering designs, and improving technological resilience. Their research contributes to cutting-edge developments in engineering reliability, with a particular emphasis on innovative methodologies and practical applications in technology-driven industries.

💼 Experience

Mr. Mizuki Kasuya, a PhD researcher at the University of Electro-Communications, Tokyo, specializes in developing optimal maintenance policies for complex systems through probabilistic modeling and optimization research. He has collaborated with a leading office equipment company to optimize replacement cycles and conducted data-driven predictive maintenance analysis to enhance system efficiency.

🔬 Research Interests

Reliability Engineering – Developing maintenance policies for critical systems

Optimization for Maintenance – Using stochastic models for cost-effective strategies

Condition-Based Maintenance – Integrating component dependencies in predictive maintenance

Infrastructure Resilience – Enhancing the lifespan of industrial assets

🏆 Awards & Honors

Outstanding Young Scientist Award – IEEE Reliability Society Japan Joint Chapter

Best Research Paper Award – International Conference on Reliability Engineering

Academic Excellence Award – University of Electro-Communications

📚 Selected Publications

📖 Book Chapters

Kasuya, M., & Jin, L. (2023). Optimal Maintenance Policy for a Two-State System with Population Heterogeneity Under Partial Observation. In Quantitative Demography and Health Estimates: Healthy Life Expectancy, Templates for Direct Estimates from Life Tables and other Applications (pp. 235-245). Cham: Springer Nature Switzerland.

Jin, L., & Kasuya, M. (2025). Two Approaches to Condition-Based Maintenance Optimization for Deteriorating Systems. In Reliability Analysis and Maintenance Optimization of Complex Systems: Essays in Honor of Professor Won Young Yun on his 65th Birthday (pp. 143-159). Cham: Springer Nature Switzerland.

📝 Journal Articles

Kasuya, M., & Jin, L. (2023). Condition-based maintenance for a Wiener deterioration process under consideration of heterogeneity in spare unit population. Total Quality Science, 9(1), 29-41.

Ogura, N., Kasuya, M., & Jin, L. (2025). Joint Optimal Policy for Maintenance, Spare Unit Selection and Inventory Control Under a Partially Observable Markov Decision Process. Mathematics, 13(3), 406.

Kasuya, M., & Jin, L. (2025). Structural Properties of Optimal Maintenance Policies for k-out-of-n Systems with Interdependence Between Internal Deterioration and External Shocks. Mathematics, 13(5), 716.