Arun Kumar Sao | Mechanical Engineering | Young Scientist Award

Dr. Arun Kumar Sao | Mechanical Engineering | Young Scientist Award

NMDC DAV Polytechnic Dantewad | India

Dr. Arun Kumar Sao is a researcher in mechanical engineering with expertise in thermal engineering, heat and mass transfer, and refrigeration and air conditioning systems. His work focuses on enhancing energy efficiency and heat transfer performance using advanced methods such as phase change materials and computational analysis. He has contributed extensively through international journal publications, conferences, patents, and book chapters. His research also explores materials engineering, renewable energy applications, and manufacturing optimization. He has established a growing academic impact with multiple publications, patents, and research contributions, reflected in his citation record, including 29 citations, an h-index of 2, and an i10-index of 1.

Citation Metrics (Google Scholar)

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Citations
29

Documents
20

h-index
2

 


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Featured Publications

Computational Analysis of an Artificial Roughened Surface of Solar Air Heater

– International Journal of Innovative Research in Science, Engineering and Technology, 2015 | Citations: 14

The Scenario of Fly Ash Generation from Thermal Plants (Coal Based) in Chhattisgarh State

– Global Journal of Multidisciplinary Studies, 2016 | Citations: 4

Study of Inflation in OTR Tires with Nitrogen Filling

– 3rd DAV National Congress, 2016 | Citations: 2+

Study the Absorption of Waste Heat Recovery from Kitchen Utensils

– Global Journal of Multidisciplinary Studies, 2016 | Citations: 2

Marios Moutsos | Mechanical Engineering | Research Excellence Award

Mr. Marios Moutsos | Mechanical Engineering | Research Excellence Award

University of Patras | Greece

Mr. Marios–Nikolaos Moutsos is a mechanical and aeronautical engineer with a strong research focus on laser-based additive manufacturing and thermal modeling. His work emphasizes the numerical simulation and experimental investigation of processes such as Wire-Laser Directed Energy Deposition, particularly the influence of interlayer dwell time on thermal behavior. He has authored peer-reviewed publications in high-impact journals, contributing to advancements in process optimization and material performance. His research integrates computational modeling with practical engineering applications, bridging academic insight and industrial relevance. He has hands-on experience in experimental design, mechanical measurements, and environmental assessment of manufacturing processes. His technical expertise spans CAD design, multiphysics simulations, and material characterization, supporting rigorous research outcomes. Overall, his profile reflects a research-oriented mindset with a commitment to innovation in advanced manufacturing technologies.

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Featured Publications

Kumaran Thanikasalam | Mechanical Engineering | Young Scientist Award

Mr. Kumaran Thanikasalam | Mechanical Engineering | Young Scientist Award

Anna University| India

Mr. Kumaran Thanikasalam is an exceptional Master of Science candidate specializing in Aerospace Engineering with a focus on advanced propulsion systems and computational modeling. He holds a Bachelor of Engineering in Mechanical Engineering from College of Engineering Guindy, Anna University, Chennai, where he demonstrated academic excellence with a high CGPA. Kumaran has cultivated a deep understanding of fluid dynamics, physics, nuclear fusion propulsion, and aerospace systems, complemented by hands-on experience in machine design, hydraulic systems, and opto-electromechanical instrumentation. He has contributed to innovative research projects, including the development of a high-precision opto-electromechanical linear comparator, volumetric strain energy theory for material failure prediction, and advanced machine learning–driven measurement systems. His work integrates computational modeling, mechanism design, fabrication, and programming in Python and Arduino, showcasing interdisciplinary expertise. Kumaran has also designed and analyzed complex gear systems, hydraulic circuits, micro sandblasting machines, and automated devices for precision applications. Kumaran’s achievements extend beyond academia, earning numerous national and international awards for excellence in science, mathematics, aerospace engineering, and innovative problem-solving. His accolades include the Bharat Vibhushan Award, Genius Indian Achievers Award, and recognitions from multiple national and international record organizations, along with college-level gold medals and prizes for academic and co-curricular accomplishments. He has completed multiple internships and training programs, gaining practical experience in rocket engine projects, aerodynamic analysis, cryogenic technology, aircraft design, and product development with industry leaders and online platforms. Proficient in software tools such as ANSYS, COMSOL Multiphysics, SolidWorks, Catia, OpenFOAM, and MATLAB, he combines technical expertise with strong analytical, leadership, and project management skills. Fluent in English and Tamil, Kumaran is a professional member of several aerospace, engineering, and scientific societies, including AIAA, RAeS, IEEE, ASME, and the National Space Society. Through his innovative research, interdisciplinary skills, and leadership in project execution, he is poised to make significant contributions to aerospace engineering, advanced propulsion research, and precision measurement technologies.

Featured Publications

  • Thanikasalam, K. (2024). Design and kinematic analysis of a two-sided asymmetric scotch yoke mechanism with variable stroke lengths. Premier Journal of Engineering.

  • Thanikasalam, K. (2024, November 11). Design of a hydraulic circuit for a four-sided shaper machine. [Preprint].

  • Thanikasalam, K. (2024, November 11). Design of a hydraulic circuit for a two-sided shaper machine. [Preprint].

  • Thanikasalam, K., & MalarMohan, K. (2024, November 11). Volumetric strain energy theory of failure. [Preprint].

  • Thanikasalam, K., Srihari, S., Kaushik, S., & Samuel Raj, D. (2025). Machine learning-enabled high accuracy opto-electromechanical linear comparator. Measurement, Elsevier.