Dr. Swami Nath Maurya | Thermodynamics of Materials | Best Researcher Award
Dr. Swami Nath Maurya is a Postdoctoral Researcher at the National Chin-Yi University of Technology (NCUT) in Taiwan, specializing in thermal management and precision manufacturing. He holds a Ph.D. in Precision Manufacturing, a Master’s in Green Energy Technology, and a B.Tech. in Instrumentation and Control Engineering. With 13 SCIE-indexed journal publications and an h-index of 5, Dr. Maurya merges experimental research with AI modeling to optimize energy and material efficiency. His multidisciplinary expertise spans semiconductors, machine tools, and advanced thermal systems.
Dr. Swami Nath Maurya | National Chin-Yi University of Technology | Taiwan
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Education
Dr. Maurya’s academic journey is marked by a solid foundation in engineering and sustainability. He earned his B.Tech. in Instrumentation and Control Engineering, followed by a Master’s in Green Energy Technology, which underpins his commitment to sustainable development. He then pursued a Ph.D. in Precision Manufacturing, focusing on intelligent process optimization. This academic progression reflects his strong theoretical understanding and applied engineering acumen in the areas of energy efficiency, thermal modeling, and manufacturing systems.
Experience
Dr. Maurya has worked extensively as a postdoctoral researcher, contributing to thermal management in machine tool systems, semiconductor crystal growth (Czochralski process), and graphene-enhanced membranes. He has authored studies on AI-driven optimization, multiobjective cooling, and microfluidic heat sink design. His work is known for solving practical engineering problems with academic rigor, and he collaborates across Taiwan and India. Despite having no current patents or editorial roles, his contributions stand out for their technical depth and industrial relevance.
Contributions
Dr. Swami Nath Maurya has made significant contributions to thermal management, semiconductor process optimization, and sustainable material engineering. His research includes the Czochralski crystal growth process, graphene-based membranes, and hybrid cooling systems for enhanced energy efficiency and system reliability. His 13 SCIE-indexed publications (h-index: 5) reflect innovation at the intersection of AI, thermal modeling, and advanced manufacturing. From machine tool spindle cooling to microfluidic heat sinks, his work promotes intelligent, eco-conscious engineering practices for future-ready industries.
Research Focus
Dr. Maurya’s research centers on thermal deformation modeling, energy-efficient systems, and AI-enhanced process optimization. His work targets complex engineering challenges in machine tools, semiconductor manufacturing, and sustainable material processing. He employs finite element methods, Monte Carlo simulations, and neuro-fuzzy inference systems to optimize system efficiency. By bridging artificial intelligence, green energy, and manufacturing, he is contributing to next-generation, eco-conscious industrial solutions.
Publications
Performance and Economic Enhancement of a Dewaxing Casting Process Using a Heat Pump Drying System
Authors: Win-Jet Luo, Amir Reza Ansari Dezfoli, Swami Nath Maurya, Bivas Panigrahi, Pei-Tang Wang
Journal: Case Studies in Thermal Engineering (2025)
Performance Analysis of Energy Recovery Membrane Coated with Graphene Oxide
Authors: Win Jet Luo, Prateek Negi, Swami Nath Maurya, Bivas Panigrahi, Janet Syah Putra Telaumbanua
Journal: Materials Research Express (2025)
Efficient Heat Dissipation with Hybrid Composite-Based Microfluidic Heat Sinks in Flexible Electronics
Authors: Pramod Vishwakarma, Swami Nath Maurya, Win Jet Luo, Bivas Panigrahi
Journal: Journal of Micromechanics and Microengineering (2025)
Optimization of Machine Tool Spindle Cooling for Enhancement of Thermal Prediction Accuracy and Energy Efficiency
Authors: Cheng-Kai Huang, Tsung-Chia Chen, Kun-Ying Li, Yuan-Hong Tsai, Swami Nath Maurya
Journal: International Journal of Precision Engineering and Manufacturing-Green Technology (2025)
Data-Driven Approach for Optimizing the Czochralski Process and Predictive Modeling: A Finite Element and Machine Learning Analysis
Authors: Swami Nath Maurya, Amir Reza Ansari Dezfoli, Li-Shang Lin
Journal: The International Journal of Advanced Manufacturing Technology (2025)
Process Parameter Optimization in Czochralski Growth of Silicon Ingots: A Monte Carlo-Finite Element Coupled Model
Authors: Amir Reza Ansari Dezfoli, Swami Nath Maurya, Zary Adabavazeh, Yi-Jen Huang
Journal: The International Journal of Advanced Manufacturing Technology (2025)
Impact of Top Cooling on Defect Suppression in Large-Scale Silicon Ingot Manufacturing
Authors: Yi-Jen Huang, Swami Nath Maurya, Amir Reza Ansari Dezfoli
Journal: The International Journal of Advanced Manufacturing Technology (2025)