0000-0001-6788-0952 About
Dr. Satish Kumar is a young researcher and a keen academician. He is captivated by technology-oriented innovative concepts and always looks ahead to execute interdisciplinary projects. He has expertise in application of Artificial Intelligence into a variety of crucial manufacturing processes, including quality enhancement, process improvement, and optimization. He is now working on several industrial 4.0 initiatives, including digital twin smart manufacturing, remaining usable life estimation, and others. He has authored more than 30 Scopus/WoS indexed international/national journal and conferences publications. He has recently published a patent on “Micro-Oxidation Coating device”. He is also currently editing Taylor & Francis's CRC Pressbook titled "Industry 4.0 in Small and Medium-Sized Enterprises (SMEs): Opportunities, Challenges, and Solutions." He has completed various research funded proposals at Symbiosis International Deemed University and is also currently working on two research proposals “Inferring quality and fault localization of 3D printer products using Digital twin” and “Artificial Intelligence-based fault detection in bearing using vibration and sound sensor”. One student was recently awarded a Ph.D under his supervision and is currently guiding 5 Ph.D research scholars.
Employment
Employment history is unavailable.
Education
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VTU India
Projects & Funding
Projects & funding information is unavailable.
Publications (92)
- Influence of Perforation Geometry and Lamination on the Acoustic Properties of Natural Fiber Composites Save
- Optimizing the machining parameters for turning operation using cryo-treated M2 tool Save
- Towards Intelligent Manufacturing: Machine Learning, Deep Learning, and Computer Vision for Tool Wear Estimation in Milling and Micromilling Processes Save
- Characterization of hBN nanoparticle reinforced aluminium metal matrix composites synthesized by high energy ball milling and conventional sintering Save
- GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification Save
- Effective skin cancer classification by modified and optimized inception-ResNet-V2 model Save
- Time-frequency analysis and autoencoder approach for network traffic anomaly detection Save
- Application of the Nadaraya-Watson estimator based attention mechanism to the field of predictive maintenance Save
- Robust Tool Wear Prediction using Multi-Sensor Fusion and Time-Domain Features for the Milling Process using Instance-based Domain Adaptation Save
- Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE Save