Dr. Gururaja Sethurao | Multi Sensors | Best Researcher Award
Dr. Gururaja Sethurao | Multi Sensors | Birla Institute of Technology & Science, Pilani – Hyderabad Campus | India
Dr. Sethurao Gururaja is a highly motivated researcher, academic, and innovator specializing in AI/ML-driven predictive modeling and adaptive process control for manufacturing systems, with his expertise spanning across smart manufacturing, micromachining, IoT-enabled production, and digital transformation of industrial systems. He earned his Ph.D. in AI/ML for Manufacturing from BITS-Pilani, Hyderabad, where his research focused on developing intelligent solutions for real-time failure prediction and dynamic stability analysis using multi-sensor fusion and machine learning algorithms. Prior to his doctoral studies, he completed his M.Tech in Machine Design from UBDTCE Davangere and a B.E. in Mechanical Engineering from PES College of Engineering, securing a department rank and building strong foundations in design and applied mechanics. Professionally, Dr. Sethurao Gururaja has served as Assistant Professor at Vidyavardhaka College of Engineering, Mysuru, worked as a Project Assistant at IIT-Madras in the Precision Engineering and Instrumentation Lab, contributed as a Research Scholar at BITS-Pilani, and is currently a Visiting Faculty at BITS-WILP while also serving as Co-founder and CEO of Sybilytics.ai, a data-driven solutions company for sustainable manufacturing. His research interests include applications of AI/ML in micromachining, IoT-based manufacturing, additive and hybrid manufacturing, digital twins, structural condition monitoring, and predictive maintenance. In terms of research skills, Dr. Sethurao Gururaja is proficient in AutoCAD, SolidWorks, Hypermesh, Abaqus, ANSYS, MATLAB, Python, and signal processing techniques, along with expertise in experimental modal analysis, bifurcation modeling, vibration analysis, and multi-sensor data fusion.
Selected Publications
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Design and fabrication of crusher machine for plastic wastes – 2017 – 30 Citations
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Effect of dry sliding wear parameters on the tribological behavior of aluminum hybrid metal matrix composites – 2021 – 6 Citations
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Parametric evaluation of chip formation in peripheral milling of single crystal Ni-based superalloy – 2024 – 5 Citations
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Development of smart manufacturing framework for micromilling of thin-walled Ti6Al4V – 2024 – 2 Citations