Asst. Prof Soumyajit Das: Assistant Professor at Techno India University, Kolkata, India
Soumyajit Das is a multidisciplinary engineer specializing in Industrial and Mechanical Engineering with a passion for ergonomics, smart manufacturing, and advanced digital technologies like augmented reality and Industry 4.0. He holds a postgraduate degree from Maulana Abul Kalam Azad University of Technology and has combined his academic rigor with hands-on research and teaching experience. Soumyajit’s work bridges human factors engineering and emerging technology to create safer, more efficient, and sustainable industrial solutions.
Online Profiles
Soumyajit actively maintains professional and academic profiles on platforms such as Google Scholar, ResearchGate, and LinkedIn, where he showcases his published research, patents, and conference presentations. These platforms serve as a hub for collaboration and knowledge dissemination, connecting him with a global community of researchers and industry professionals focused on ergonomics, manufacturing innovations, and digital transformation.
Since 2020, Soumyajit Das has accumulated a total of 72 citations, reflecting the impact and recognition of his research within the academic community. His work has contributed to an h-index of 4, indicating that at least four of his publications have each been cited four or more times. Additionally, he has an i10-index of 1, with at least one publication receiving ten or more citations, highlighting his growing influence in the fields of industrial engineering and applied research.
Education
He completed his Master’s in Industrial Engineering and Management at MAKAUT in 2021 with a distinguished DGPA of 9.71, demonstrating academic excellence in both theoretical and applied domains. His Bachelor of Technology in Mechanical Engineering, also from MAKAUT (formerly WBUT), was completed in 2017 with a DGPA of 7.72. Prior academic achievements include strong performances in Higher Secondary and Secondary examinations from Howrah Zilla School, reflecting a solid foundation in science and mathematics.
Research Focus
Soumyajit’s research primarily focuses on ergonomic assessment and cognitive workload analysis of industrial and transport workers to improve workplace safety and productivity. He applies advanced analytical methods including Fault Tree Analysis, Work Ergonomic Risk Assessment (WERA), and Lean Six Sigma techniques. Additionally, he explores augmented reality applications in marketing and education, and the development of functionally graded materials with an emphasis on thermal and mechanical performance.
Experience
Currently a Junior Research Fellow at NIT Jamshedpur, Soumyajit has contributed significantly to government-sponsored projects involving thermal shock analysis and smart tribal eco-platforms at IIT Kanpur. His previous roles include assistant professorship at Techno India University and lecturer positions, where he taught mechanical engineering fundamentals. His industrial background spans machine operation, maintenance engineering, and hands-on training at Visakhapatnam Steel Plant and the Electric Locomotive Assembly Factory, providing him with practical insights into manufacturing processes.
Research Timeline
Starting with his undergraduate thesis on tool-workpiece interactions during machining operations in 2016-17, Soumyajit has evolved his research portfolio to include comprehensive studies on musculoskeletal disorders among e-rickshaw and bus drivers between 2019 and 2021. From 2021 onwards, he engaged in advanced material analysis and smart eco-platform development through prestigious research fellowships, culminating in multiple publications and patents that reflect his progressive growth as a researcher.
Awards & Honors
Soumyajit has been recognized for his academic and research excellence with awards such as the Best Paper Award at the 2021 International Conference on Industrial Engineering and first place in oral presentations at the 2020 National Science Day organized by MAKAUT. He has also earned accolades in inter-school academic contests and received multiple certifications including Lean Six Sigma Green Belt and Industrial Safety training, underscoring his commitment to professional development.
Top-Noted Publication
His influential 2024 publication, “Recent developments in modeling and analysis of rotating functionally graded panels: A review,” featured in Materials Today: Proceedings, provides a comprehensive overview of advances in functionally graded materials. This work is widely cited for its in-depth analysis of material behavior under thermal and mechanical stress, and its relevance to aerospace and manufacturing industries aiming to enhance component reliability and performance.
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Narayan, P., & Das, S. (2025). Socio-Cultural Variations in Consumer Preferences on Sexual Wellness Products in Urban and Rural Communities: A Comprehensive Analysis. Danadyaksa: Post Modern Economy Journal, 2(1), 58-77. [Citations: 1]
An insightful study examining how cultural and social factors influence consumer behavior regarding sexual wellness products across diverse communities. -
Das, S. (2024). Design for the Body: How Ergonomics Transforms Modern Clothing into Comfortable, Functional, and Stylish Garments. Ergonomics International Journal (EOIJ), 8(4), 1-8. [Citations: 1]
This publication explores the role of ergonomic principles in revolutionizing modern apparel design to enhance comfort and functionality. -
Das, S. (2023). An Article on Food Supply Chain: Find Risk of System Disruptions through Blockchain Technology. [Citations: 1]
A research article investigating the application of blockchain technology to identify and mitigate risks in food supply chains. -
Das, S. (2023). An Article On: Augmented Reality Contrast to Ergonomic Design. Human-Computer Interaction eJournal, 6(7). [Citations: 1]
This paper discusses how augmented reality interfaces can be contrasted with traditional ergonomic design methodologies in human-computer interaction. -
Das, S., Mallick, B., & Danda, S. (2021). Application of the Workplace Ergonomic Risk Assessment (WERA) Methodology on E-rickshaw Drivers. Available at SSRN 3965806. [Citations: 1]
A significant study applying the WERA methodology to evaluate ergonomic risks faced by e-rickshaw drivers, highlighting implications for occupational health and safety.