Dr. Jagadish | Engineering | Best Researcher Award

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Dr. Jagadish | Engineering | Best Researcher Award

Assistant Professor | Indian Statistical Institute, Bengaluru Centre | India

Dr. Jagadish is a distinguished researcher and Assistant Professor at the Indian Statistical Institute, Bangalore Centre, known for his influential contributions in Engineering fields encompassing Industrial Engineering, Production Engineering, and Mechanical Engineering. His academic and research accomplishments reflect a deep commitment to advancing Engineering principles through innovation, optimization, and sustainable development. With a strong foundation in Engineering optimization techniques, Engineering management, and Engineering modeling, Dr. Jagadish has established a reputation for excellence in multidisciplinary Engineering research. He has published 52 documents and accumulated 853 citations, achieving an h-index of 15 on Scopus, underscoring the impact and visibility of his scholarly work. A prolific author, Dr. Jagadish has contributed significantly to high-impact international journals and has authored and co-authored numerous Engineering books and book chapters published by leading academic publishers such as Springer, IGI Global, and Elsevier. His Engineering research spans optimization in green manufacturing, additive manufacturing, sustainable composites, and decision-making methods in production systems. He has also collaborated extensively with academic and industrial partners across multiple Engineering disciplines, bridging theoretical analysis with practical applications. His Engineering consultancy and project leadership demonstrate a strong connection between academic research and industrial implementation, particularly in areas such as quality management, Six Sigma applications, and process optimization. Dr. Jagadish’s leadership in Engineering training programs, conferences, and applied research projects has contributed greatly to capacity building and knowledge transfer in the Engineering community. His research integrates computational methods, experimental design, and sustainable approaches, reflecting the evolving role of Engineering in addressing environmental and industrial challenges. Through his consistent scholarly excellence and dedication to innovation, Dr. Jagadish continues to advance the frontiers of modern Engineering, contributing meaningfully to both academia and society.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Performance Analysis and Optimization of Different Electrode Materials and Dielectric Fluids on Machining of High Carbon High Chromium Steel in Electrical Discharge Machining. (2022). Proceedings of the National Academy of Sciences India Section A: Physical Sciences.

2. Evaluation of Machining Properties of Short Bamboo Fiber-Based Green Composites Using CNC Drilling Process. (Conference Paper).

3. Performance Evaluation of Sand Coated Absorber Based Solar Air Collector. (2021). Journal of Building Engineering.

4. Energy, Exergy, and Environmental (3E) Analyses of Reverse and Cross-Corrugated Trapezoidal Solar Air Collectors: An Experimental Study. (2021). Journal of Building Engineering.

5. A Soft Computing-Based Study on WEDM Optimization in Processing Inconel 625. (2021). Neural Computing and Applications.

Dr. Minati Kumari Sahu | Engineering | Best Researcher Award

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Dr. Minati Kumari Sahu | Engineering | Best Researcher Award

Researcher | CSIR NML | India

Dr. Minati Kumari Sahu has established herself as a dedicated professional in Engineering, with strong expertise in materials science, non-destructive testing, and quality management systems, demonstrating excellence in Engineering through her academic achievements including B.Sc., M.Sc., M.Tech., and Ph.D. in areas closely aligned with Engineering applications. Her professional experience spans advanced Engineering roles in CSIR-NML, NIT Jamshedpur, and Tata Steel, where she applied Engineering-driven approaches for material characterization, creep damage evaluation, weld defect assessment, and optimization of electromagnetic stirring parameters. With significant research contributions in Engineering-focused domains such as nonlinear ultrasonic testing, acoustic wave simulation, and signal processing, she has authored numerous SCI journal papers, patents, and software copyrights, proving her Engineering research skills. Her research interests remain centered on Engineering-based microstructural analysis, advanced NDE techniques, and computational modeling. Recognized with the prestigious Dr. M. Pancholy Memorial Award for best oral presentation, she has shown distinction in advancing Engineering knowledge. Her technical skills extend to Engineering software tools like COMSOL, MATLAB, and LabVIEW, enhancing her research capabilities in Engineering simulations and testing. Throughout her journey, she has contributed to Engineering by integrating academic insights with industrial applications, thereby bridging theoretical concepts with practical problem-solving. With a strong foundation in Engineering, coupled with honors and impactful publications, Dr. Minati Kumari Sahu stands as a role model in Engineering research and innovation. In conclusion, her career reflects a consistent pursuit of excellence in Engineering, combining knowledge, skills, and dedication to drive forward advancements in the field of Engineering. Her Google Scholar citations 46, h-index 5, i10-index 1, showcasing measurable research impact.

Profiles: ORCID | Google Scholar

Featured Publications

1. Ghosh, A., Sahu, M., Singh, P. K., Kumar, S., Ghosh, M., & Sagar, S. P. (2019). Assessment of mechanical properties for dissimilar metal welds: A nondestructive approach. Journal of Materials Engineering and Performance, 28(2), 900–907.

2. Sahu, M. K., Swaminathan, J., Bandhoypadhyay, N. R., & Sagar, S. P. (2018). Creep damage evaluation in P92 steel using second harmonic of high power ultrasonic signal. Materials Today: Proceedings, 5(2), 4467–4474.

3. Sahu, M., Ghosh, A., Dutta, C., Kumar, J., & Sagar, S. P. (2025). Creep strain prediction in power plant material via ANN modelling of nonlinear ultrasonic test results. Nondestructive Testing and Evaluation, 40(3), 932–953.

4. Sahu, M. K., & Sagar, S. P. (2021). Nonlinearity in the propagation of acoustic waves: Simulation and experimental validation in a creep damaged material. Materials Today: Proceedings, 44, 2251–2256.

5. Balamurugan, S., Mathan, G., Dey, A., Mukherjee, G., Sahu, M., & Pandey, J. C. (2012). Cracking of tungsten carbide rolls during hot rolling of branded rebars in a bar mill. Engineering Failure Analysis, 26, 182–191.