About
**Priya Ranjan** is a metallurgical engineer, researcher, and management professional with extensive experience in the Indian steel industry and a growing research portfolio in Industry 5.0, artificial intelligence, digital transformation, and sustainable manufacturing. He currently serves as a **manager (projects)** at **Steel Authority of India Limited (SAIL), IISCO Steel Plant, Burnpur, West Bengal**, where he is actively involved in project planning, commissioning, production optimisation, technological modernisation, and strategic operational improvement initiatives.
He earned his **Bachelor of Technology (B.Tech.) in metallurgical engineering** from **BIT Sindri** in 2008 and completed his **Master of Technology (M.Tech.) in materials and metallurgical engineering** from **IIT Kanpur** in 2010. To strengthen his expertise in business strategy and financial management, he is currently pursuing an **MBA in finance** from **Mizoram University**.
With more than a decade of industrial experience, Priya Ranjan has made significant contributions to integrated steel manufacturing, process innovation, quality improvement, project execution, and digital transformation. Before joining SAIL, he served at **Rashtriya Ispat Nigam Limited (RINL)** from 2015 to 2024, where he contributed to operational excellence, production enhancement, and technology-driven modernisation projects.
His research focuses on **Industry 5.0, autonomous manufacturing systems, smart steel plants, artificial intelligence, the Industrial Internet of Things (IIoT), digital twins, robotics, human–machine collaboration, digital finance, fintech innovation, AI governance, and sustainable industrial development**. He has authored several research papers on advanced manufacturing technologies, digital transformation frameworks, financial technologies, organisational readiness assessment, and AI-driven industrial systems. His work aims to bridge the gap between academic research and industrial practice by developing practical frameworks and decision-support models for next-generation manufacturing enterprises.
In addition to his technical and research contributions, Priya Ranjan actively participates in national innovation initiatives, technical competitions, policy discussions, and creative outreach programmes covering cybersecurity awareness, AI ethics, financial inclusion, digital governance, and responsible technology adoption. His interdisciplinary approach combines engineering excellence, management insights, and evidence-based research to promote innovation, operational efficiency, sustainability, and responsible technological advancement.
His long-term professional vision is to contribute to the development of intelligent, autonomous, and sustainable industrial ecosystems by integrating advanced engineering, artificial intelligence, financial analytics, and strategic management. Through research, industrial leadership, and knowledge dissemination, he continues to support India's digital transformation and the evolution of globally competitive smart manufacturing systems.
Employment
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Steel Authority of India Ltd. MANAGER2025 - Present
Education
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Mizoram University MBA2025 - 2027
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IIT Kanpur M.Tech2008 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- <p><span>Blast Furnace Copper Stave Burnout and Water Circuit Accidental Boiling Risk Index (BF-SARI): An Explainable Neuro-Symbolic Edge Computing Framework for Megawatt-Scale Thermal Runaway</span></p> Save
- <p><span>QC-CastGuard: A Hybrid Quantum Variational and Edge Digital-twin Architecture for Real-Time Solidification Crack Prediction in Thin-slab Continuous Casting</span><span></span></p> Save
- <p><span>Real-Time Molten Steel Logistics and Ladle Optimization Using a Hybrid Quantum-Classical Framework</span></p> Save
- <p><span>TTS-GDAI: Physics-Informed Multimodal Edge Diagnostics for Blow-By Prevention in High-Capacity Blast Furnaces</span></p> Save
- <p>Digital Project Readiness Index (DPRI): A Quantitative Approach for Evaluating AI, BIM and Digital Twin Adoption in Steel Plant Expansion Projects</p> Save
- <p>Refractory Degradation and Thermal Loss Risk Index (RD-TLRI): A Quantitative Digital-Twin and Physics-Informed AI Framework for Ladle and Furnace Linings in Integrated Steel Plants</p> Save
- <p>Secondary Metallurgy Digital Readiness Index (SMDRI) for Integrated Steel Plants: A Novel Five-Level Framework for Assessing Digital Transformation, Process Stability, Steel Cleanliness and Autonomous Metallurgical Operations</p> Save
- <p>UPI Credit Risk Intelligence Index (UCRII): An Explainable Artificial Intelligence Framework for Real-Time Retail Lending Risk Assessment in India’s Digital Payment Ecosystem</p> Save
- Engineering Decision Intelligence Framework for Autonomous Shutdown Planning in Integrated Steel Plants: Integrating Industrial Knowledge Graphs, Digital Twins, and Generative AI Author Save
- Engineering Hallucination Risk Index (EHRI): A Quantitative Framework for Evaluating Trustworthiness of Generative AI in Engineering Decision Support Systems Save