Chitkara University Punjab | India
Dr. Deepam Goyal is an accomplished Assistant Professor at Chitkara University, Punjab, with a Ph.D. in Mechanical Engineering. Renowned for his commitment to academic excellence, he actively mentors doctoral scholars, leads the Chitkara University Doctoral Consortium, and facilitates interdisciplinary collaborations. His expertise spans renewable energy, combustion, machine fault diagnosis, and education technologies. With 42 journal publications, 20 patents, and editorial roles in reputed conferences and journals, Dr. Goyal has emerged as a key figure in advancing research and innovation.
Professional profileđ¤
Google Scholar
Scopus
ORCID
Strengths for the Awardsâ¨
Dr. Deepam Goyal exhibits a robust and well-rounded research profile characterized by both depth and diversity. His citation countâ3036 on Google Scholar and 2185 on Scopusâclearly reflects the high impact and relevance of his research. His inclusion in the Worldâs Top 2% Scientists by Stanford University underscores global recognition and academic excellence. Dr. Goyalâs strong publication record (42 indexed journal articles), two ISBN-registered books, and an impressive 20 patents (10 granted) showcase a productive career in innovation and applied research. Additionally, his editorial involvement, academic collaborations across reputed national and international institutions, and leadership in doctoral consortia further elevate his research standing.
His active mentorship, interdisciplinary work involving AI, manufacturing technologies, and sustainable practices, and his consistent contributions to digital transformation in education demonstrate visionary thinking and research leadership. His awards from leading organizations such as the Department of Science & Technology (INSPIRE Fellowship), CII (Gold MILCA), and various academic institutions further highlight his academic credibility and industry relevance.
đ Education
Dr. Goyal earned his Ph.D. in Mechanical Engineering, building upon a strong academic foundation that includes a Gold Medal in his M.E. from Panjab University, Chandigarh. His consistent academic excellence is marked by distinctions such as the Dr. S P Luthra Memorial Gold Medal and Certificate of Merit from NITTTR Chandigarh.
đź Experience
With extensive academic and administrative experience, Dr. Goyal plays a pivotal role in shaping research culture at Chitkara University. He coordinates PhD coursework, viva-voce sessions, and expert evaluations, and collaborates with IITs, NITs, and international institutions. He has worked with CRC Press and Taylor & Francis, contributing as an editor and reviewer. His involvement in program committees like SPIE and doctoral boards highlights his influence in academia.
Dr. Goyal’s research interests lie at the intersection of Mechanical Engineering and emerging technologies. His focus areas include manufacturing technology, vibration dynamics, condition monitoring, machine fault diagnosis, sensors, machine learning, and optimization. He continuously explores innovative solutions for sustainable engineering and digital transformation.
đ Awards
Dr. Goyal has been recognized globally and nationally for his contributions. He is among the Worldâs Top 2% Scientists (Stanford University), recipient of the INSPIRE Fellowship (Govt. of India), and winner of the Gold MILCA Award (CII). Other accolades include the Dr. S P Luthra Memorial Gold Medal, Best Research Paper Award, and even the Best Table Tennis Player Award from NITTTR Chandigarh.
đ Publications
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The vibration monitoring methods and signal processing techniques for structural health monitoring: a review
Authors: D. Goyal, B.S. Pabla
Year: 2016
Citations: 577
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Condition monitoring and fault diagnosis of induction motors: A review
Authors: A. Choudhary, D. Goyal, S.L. Shimi, A. Akula
Year: 2019
Citations: 344
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Infrared thermography-based fault diagnosis of induction motor bearings using machine learning
Authors: A. Choudhary, D. Goyal, S.S. Letha
Year: 2020
Citations: 225
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Condition based maintenance of machine toolsâA review
Authors: D. Goyal, B.S. Pabla
Year: 2015
Citations: 219
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Support vector machines based non-contact fault diagnosis system for bearings
Authors: D. Goyal, A. Choudhary, B.S. Pabla, S.S. Dhami
Year: 2020
Citations: 188
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Condition Monitoring Parameters for Fault Diagnosis of Fixed Axis Gearbox: A Review
Authors: D. Goyal, B.S. Pabla, S.S. Dhami
Year: 2016
Citations: 109
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Condition based maintenance of bearings and gears for fault detectionâA review
Authors: S. Kumar, D. Goyal, R.K. Dang, S.S. Dhami, B.S. Pabla
Year: 2018
Citations: 94
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Non-contact fault diagnosis of bearings in machine learning environment
Authors: D. Goyal, S.S. Dhami, B.S. Pabla
Year: 2020
Citations: 71
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Machine LearningâBased Fault Diagnosis of SelfâAligning Bearings for Rotating Machinery Using Infrared Thermography
Authors: A. Mehta, D. Goyal, A. Choudhary, B.S. Pabla, S. Belghith
Year: 2021
Citations: 66
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Intelligent predictive maintenance of dynamic systems using condition monitoring and signal processing techniquesâA review
Authors: D. Goyal, A. Saini, S.S. Dhami, B.S. Pabla
Year: 2016
Citations: 61
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Development of non-contact structural health monitoring system for machine tools
Authors: D. Goyal, B.S. Pabla
Year: 2016
Citations: 55
đ Conclusion
Dr. Deepam Goyal stands out as a dynamic researcher and academic leader, whose contributions have significantly influenced the fields of mechanical engineering, diagnostics, and digital education. His recognition among the world’s top scientists and a proven record of patents, publications, and awards underscore his eligibility for the Best Researcher Award. With a passion for innovation and collaborative excellence, Dr. Goyal continues to inspire the next generation of forensic and engineering professionals.
