Nitin Liladhar Rane
Papers
10
Total Citations
205
H-Index
8
About
Nitin Liladhar Rane is a prolific researcher at the forefront of artificial intelligence, machine learning, and their transformative applications across industry and society. His work spans several interconnected domains, including AI-driven corporate finance, intelligent construction systems, deep learning optimization, and the evolution of Industry 4.0, 5.0, and Society 5.0 paradigms. Rane has made substantial contributions to understanding how machine learning, natural language processing, and robotic process automation can enhance decision-making and governance in corporate environments, with his foundational work in this area accumulating nearly 50 citations within its first year of publication. His research into generative AI tools such as ChatGPT and their industrial implications has further cemented his relevance in contemporary technology discourse. Notably, Rane bridges theoretical frameworks with practical applications, examining AI adoption barriers in traditionally conservative sectors like construction. His explorations of digital twin technologies and deep learning algorithms demonstrate a commitment to broad, cross-sector impact. With over 200 cumulative citations across recent publications, Rane has rapidly established himself as an influential voice shaping how researchers and practitioners understand the convergence of artificial intelligence with modern industrial and societal transformation.
Research Focus
Key Achievements
Top Papers
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- 6Techniques and optimization algorithms in deep learning: A review19 citations · 2024
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