NAMEET KUMAR SETHY

Distinguished professional at the intersection of engineering systems and pedagogical leadership, with 6.5 years of experience in technical operations and academic instruction. Expertise includes diagnosing organizational growth vectors and executing complex operational frameworks. Committed to evidence-based career coaching, utilizing a structured methodology to empower clients in navigating professional transitions and achieving their highest potential. A proven track record of fostering growth and innovation within diverse environments enhances the ability to drive impactful results.

1. Ideal IoT Based Overhead Conductor for Optimizing the Performance of a Small Hydropower Project

NK Sethy, ...

Journal of Nano and electronic physics 15 (No 4), 04006-1 - 04006-5

2. Intelligent production scheduling a case study

NK Sethy, DK Behera

International Journal of Mechanical Engineering and Technology 8 (2), 283-298 2017

3. Convolutional Neural Network with Mix-Up Data Augmentation for Ball Bearing Fault Diagnosis

R Baral , D. K. ., Patra , K. C. ., Behera , A. ., Sethy , N. K. ., Behera ...

International Journal of Basic and Applied Sciences 15 (1), 68-78

4. Comparative analysis of genetic algorithms and CDS for optimizing flow shop scheduling under industrial constraints

NK Sethy, DK Behera

Recent Trends in Engineering, Science and Technology, 187

5. Computational study of M-job flow shop scheduling issues using CDS, NEH, and DE algorithms

NK Sethy, DK Behera, RP Dash, A Behera, L Sahoo

AIP Conference Proceedings 3258 (1), 020008

6. Optimizing Flow Shop Scheduling for Energy Efficiency and Sustainability in SemiconductorManufacturing: A Comparative Study of NEH and PIG_NEH Algorithms

NKS Dhiren Kumar Behera

Journal of Nano- and Electronic Physics 17 (5), 05032-1 - 05032-5

7. Resilient Heuristics for Permutation FS Scheduling: A Comparative Study of NEH And CDS Techniques with Priority and Tie-Breaking Rules

NK Sethy, DK Behera

Available at SSRN 5089007