Dr. Gurudutt Sahni is a highly accomplished mechanical engineer, educator, and researcher from Jalandhar, India
. His lifetime achievements are characterized by a multifaceted career that spans academia, industry, and a remarkable commitment to mentorship. He holds multiple advanced degrees, including a Ph.D. and an MBA, showcasing his diverse expertise. Awards and recognitions
Dr. Sahni has received several awards and recognitions for his contributions, including the Outstanding Scientist Award from Science Father at the NESIN 2021 International Awards, the Bharat Gaurav Award, the EET CRS Award for Asia's Top 50 Scientists and Top 50 Researchers, the Best Research Excellence Award and Best Mentor Award from the Research Education Society (RES), the MBR Honorary Doctorate Award from the Magic Book of Record, and the A.P.J. Abdul Kalam Award - 2022. He has also been recognized as an Outstanding & Incredible Scientist, Academician, and Researcher of the World by the London Book of World Records.
Professional accomplishments
With over 26 years of experience, Dr. Sahni has held positions such as Head of Department at Leader Valves Ltd., Jalandhar City, Punjab, Adjunct Professor at DAV Institute of Engineering and Technology (DAVIET), Jalandhar, and Visiting Professor at various engineering institutes. He has completed over 70 academic projects and designed over 250 industrial valve and pipeline-related products. Dr. Sahni has authored and published over 500 research papers and has mentored numerous students and researchers. He holds multiple Lead Auditor certifications in QMS, EnMS, and OHSMS and serves on editorial boards and as a reviewer for journals and conferences.
Impact and contributions
Dr. Sahni's work has had a significant impact on the entrepreneurial landscape in Punjab through mentorship and industry-academia collaboration. His research covers areas such as thermal engineering, fluid engineering, industrial engineering, design of mechanical machine elements, and applications of soft computing and machine learning in engineering estimations.
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