Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

Published on by Robotics and Automation

Mr. Nitin Desai | Industrial Robotics | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Dr. Nitin Desai is a distinguished researcher in industrial robotics and manufacturing automation, with a strong record of interdisciplinary contributions in both software and hardware domains. He is currently pursuing a Ph.d. in robotics at the Indian Institute of Technology Kharagpur, focusing on high-precision 6d pose estimation for robot manipulators using deep learning and 3d vision techniques. His expertise spans computer vision, vision-language models, large language models, reinforcement learning, Industrial Robotics and generative ai—applied to robotic motion planning, grasping, and autonomous decision-making. prior to his doctoral work, he earned his M.Tech. in cad cam and automation and robotics from veermata jijabai technological institute, mumbai, B.E. In mechanical engineering from dkte society’s textile & engineering institute, Kolhapur. Dr. Desai has served as a research scholar at the centre of excellence in advanced manufacturing technology, iit kharagpur, and as a technical consultant at scale ai, contributing to generative ai model training and data annotation for advanced automation systems. With 1 citation, 3 published documents, and an h-index of 1, his scholarly work reflects growing recognition in the academic community. his ongoing research continues to bridge artificial intelligence, robotics, and industrial automation for next-generation intelligent systems.

Profile: Scopus

Featured Publication

Desai, N. (2025). Implementation of Soft Computing-Based Metaheuristic Algorithms in Multiobjective Environmentally-Conscious Machining Operation Sequence Optimization with Carbon Emission Reduction.

Prof. Hsin-Yuan Chen | Smart Robot | Best Researcher Award

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Prof. Hsin-Yuan Chen | Smart Robot | Best Researcher Award

Zhejiang University | China

Prof.  Hsin-Yuan  Chen is a distinguished Chang Jiang Scholar Professor and director at the center of digital technology entrepreneurship and innovation, Zhejiang University, China, and serves as an adjunct distinguished professor at Patil University, India. She holds a Ph.d. in aerospace engineering from national Cheng Kung university, where she also earned her bachelor’s degree through a direct Ph.d. program. With extensive academic and industrial experience, Dr. Chen has held key positions including professor and dean at Fujian normal university, and ai chief technology officer at Geosat technology and mobiletron electronics. her expertise spans artificial intelligence, robotics, big data, cloud computing, Smart Robot and digital innovation. She has authored 78 scholarly documents, which have collectively received 1,761 citations from 1,556 sources, achieving an h-index of 27, reflecting her significant academic impact. her exceptional contributions have been recognized globally through prestigious honors such as the IET fellowship, Asean fellowship, global top engineers medal, and multiple international awards in ai, cloud technology, and robotics. a respected editor and reviewer for numerous international journals, Dr. Chen continues to advance interdisciplinary innovation in digital transformation, artificial intelligence, and emerging technologies worldwide.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Sharma, C., Chanana, N., & Chen, H.-Y. (2025, June). Mapping the evolution: A bibliometric analysis of employee engagement and performance in the age of artificial intelligence-based solutions. Information, 16(7), 555.

Chen, H.-Y., Sharma, K., Sharma, C., & Sharma, S. (2024, November 9). Advancements in handwritten Devanagari character recognition: A study on transfer learning and VGG16 algorithm. Discover Applied Sciences. Springer Nature.

Chen, H.-Y. (2023). Artificial intelligence robots and fuzzy logic – Robotics – AI – ICT. Scientific Journal Impact Factor.

Chen, H.-Y. (2023). Blockchain and cryptocurrency: A bibliometric analysis. Journal of Advanced Computational Intelligence and Intelligent Informatics, 27(6), 822–832.

Chiang, Y.-F., Lin, I.-C., Huang, K.-C., Chen, H.-Y., Ali, M., Huang, Y.-J., & Hsia, S.-M. (2023). Caffeic acid’s role in mitigating polycystic ovary syndrome by countering apoptosis and ER stress triggered by oxidative stress. Biomedicine & Pharmacotherapy, 166, 115327.