Arun Kumar Sao | Mechanical Engineering | Young Scientist Award

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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)

50

40

30

20

10

0

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

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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

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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.

 

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.

Hakim Azizi | Engineering | Best Researcher Award

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Dr.Hakim Azizi | Engineering | Best Researcher Award

Ziane Achour Djelfa university,  Algeria

Azizi Hakim is an experienced academic and researcher currently serving as a Maitre de Conférences Classe A at Ziane Achour University of Djelfa, Algeria. Born on August 8, 1985, in Taher, Algeria, he has devoted his career to teaching and research in the field of electrotechnics. His work primarily focuses on the impact of electromagnetic disturbances on high-power equipment and the development of intelligent diagnostic systems for industrial applications.

Profile

Scopus

Education 🎓

PhD in Electrotechnics from the University of Science and Technology Houari Boumediene, Algiers (2020). His doctoral thesis focused on the influence of external electromagnetic disturbances on high-field equipment. Magister in Electrical Engineering from the Ecole Militaire Polytechnique, Algiers (2011). His thesis explored the design of a measurement cell for evaluating radiated electromagnetic disturbances. Engineering Degree in Electrotechnics from Jijel University (2009), where he specialized in electrical networks and graduated with honors.

Experience 💼

Teaching practical and theoretical courses in electrotechnics, electromagnetic wave propagation, and algorithmic systems at institutions such as the Military Polytechnic School of Algiers and the University of Médéa. He has held academic positions at Ziane Achour University since 2013 and has conducted scientific research stays at the prestigious Ecole Centrale de Lyon in France (2016-2017, 2018-2019).

Research Interests 🔍

Electromagnetic systems, with a particular focus on how disturbances affect industrial equipment. Electrical power networks and the design of diagnostic tools for fault detection in high-power installations. Machine learning applied to industrial diagnostic systems, with a strong focus on intelligent monitoring and control systems.

Awards 🏆

A highly honorable mention for his doctoral thesis on electromagnetic disturbances. Acknowledgments for his contributions to the advancement of electrotechnic diagnostics and innovative approaches to electrical systems engineering.

Publications Top Notes📚

  1. Arc plasma energy evolvement in 60 kV network circuit breakers | Ocena energii łuku plazmowego w wyłącznikach sieciowych 60 kV
    • Authors: Belkhir, S., Ziani, A., Azizi, H., Moulai, H.
    • Year: 2022

 

  1. Sequential adaptive sampling based on cubic spline interpolation to accelerate the near field scanning
    • Authors: Kihal, M.C., Moulai, H., Azizi, H., Smartt, C., Thomas, D.W.P.
    • Year: 2022

 

  1. Analytical and numerical models compared with measurements for analysis of electromagnetic radiation through apertures of a metallic enclosure
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. A model assisted probability of detection approach for ECNDT of hidden defect in aircraft structures
    • Authors: Chebout, M., Azizi, H., Mekideche, M.R.
    • Year: 2020

 

  1. Electromagnetic shielding performance of a metallic enclosure with apertures
    • Authors: Azizi, H., Chebout, M., Moulai, H., Bréard, A., Vollaire, C.
    • Year: 2020

 

  1. Electromagnetic interference from shielding effectiveness of a rectangular enclosure with apertures – Circuital approach, FDTD and FIT modelling
    • Authors: Azizi, H., Tahar Belkacem, F., Moussaoui, D., Bendaoud, A., Bensetti, M.
    • Year: 2014