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.

Ms. Juman Alsadi | Smart Manufacturing Systems | Best Researcher Award

Published on by Robotics and Automation

Ms. Juman Alsadi | Smart Manufacturing Systems | Best Researcher Award

Khalifa University | United Arab Emirates

Ms. Juman Alsadi is a Ph.d. candidate in engineering systems and management at Khalifa University, Abu Dhabi, UAE, with a research focus on the digitalization of operational excellence methodologies, particularly the integration of lean six sigma and industry 4.0. her academic journey includes a master’s degree in engineering systems and management from the same university, she continues to maintain outstanding academic performance. Her research aims to develop a conceptual framework for lss 4.0 adoption, emphasizing organizational maturity, change management, and sustainable digital transformation. beyond research, Dr. Alsadi has served as a teaching and research assistant, mentoring students, supporting course design, and contributing to scholarly publications. she has also gained professional experience in logistics, supply chain, Smart Manufacturing Systems and project management through roles at digital qatalyst, reda chemicals, and julphar pharmaceuticals. Her academic influence is reflected in her 7 published documents, 41 citations, and an h-index of 3, highlighting her growing contribution to the fields of industrial engineering, lean transformation, and digital innovation. driven by a passion for excellence, Dr. Alsadi continues to bridge research with real-world impact across academia and industry.

Profiles: Scopus | Orcid

Featured Publications

Alsadi, J., Antony, J., Goonetilleke, R., Romero, D., Chiarini, A., Tortorella, G., & Maalouf, M. (2025). A qualitative global study on the digitalization of Lean Six Sigma: Insights from scholars and practitioners. Production Planning & Control.

Alsadi, J., Alkhatib, F., Antony, J., Garza-Reyes, J. A., Tortorella, G., & Cudney, E. A. (2024). A systematic literature review with bibliometric analysis of Quality 4.0. The TQM Journal.

Saad, A., Alsadi, J., Al Absi, D., Almulla, M., Simsekler, M. C. E., Sadeq, A. A., Omar, F., Basha, M., Khattab, I., & Abu Khater, N., et al. (2024). An integrative risk assessment approach to enhancing patient safety in continuous renal replacement therapy (CRRT). Journal of Safety Science and Resilience.

Alkhatib, F. Y., Alsadi, J. K., Ramadan, M. A., Antony, J., & Swarnakar, V. (2024). Industry 4.0 applications in the healthcare sector. In Industry 4.0 and Quality Management (pp. 27–48). Routledge.

Alsadi, J., Antony, J., Mezher, T., Jayaraman, R., & Maalouf, M. (2023). Lean and Industry 4.0: A bibliometric analysis, opportunities for future research directions. Quality Management Journal.