Syed Eirfan Atthar

About

Syed Eirfan Atthar is an M.Tech researcher in Mechanical Engineering (Thermal and Fluid Engineering) at Dibrugarh University, India. His research focuses on energy-efficient thermal systems, digital twin technologies, AI-driven logistics optimization, and sustainable cold-chain infrastructure for emerging markets. His work explores the integration of artificial intelligence, refrigeration engineering, and sustainable supply chain systems to enhance energy efficiency and carbon transparency in logistics networks.

Employment

• Journal of Global Economy Acedemic Fellowship
  2026 - Present

Education

• Andhra University Master of Business Administration
  2026 - 2028
• Dibrugarh University Master of Technology
  2025 - 2027
• Jawaharlal Nehru Technological University, Hyderabad Bachelor of Technology
  2020 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• AI-ASSISTED SUSTAINABLE CNC MANUFACTURING FOR INDUSTRIAL PRODUCTIVITY AND ENERGY EFFICIENCY “Advancing Smart and Sustainable Manufacturing through AI-Driven CNC Machining Optimization”
  Journal of Global Economy 2026
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• Data-Driven Thermo-Structural Optimization of Gas Turbine Blades Using Finite Element Analysis, Cooling Configurations and Thermal Barrier Coatings
  Parisankhya: Data-Driven Insights for Development Studies 2026
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• A Unified Mathematical Framework for Physics-Informed Digital Twins in Sustainable Engineering Optimization: Formulations, Convergence, and Pareto Frontiers
  Syed Eirfan Atthar
  Discover Applied Methametics 2026 DOI: 10.21203/rs.3.rs-10788710/v1
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• Formal Verification of Energy Conservation in Discrete Cyber-Physical Fluid Networks: An Algorithmic Proof Methodology Utilizing Mathematical Induction
  Syed Eirfan Atthar
  Discover Applied Sciences 2026 DOI: 10.21203/rs.3.rs-10693428/v1
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• Mixed Methods Assessment of Astrological Correspondences in Copper Mediated Bioactivity Elemental and Material Kinetics
  Mechanical Engineering Insights 2026
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• Predictive Computational Modeling in Thermo-Fluid Systems: Machine Learning Frameworks, Numerical Approximations, and Sustainable Engineering Applications
  Mechanical Engineering Insights 2026
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• Sustainable Parametric Optimization in CNC Machining
  Eliva Press 2026
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• Bridging the Pedagogical Gap in Thermal Sciences With Comparative Analysis of Empirical Heat Transfer and Predictive Surrogate Modeling
  Syed Eirfan Atthar, Nilomjyoti Saikia
  Springer Discover Education 2026 DOI: 10.21203/rs.3.rs-10432743/v1
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• Sustainable Cold-Chain Infrastructure for Viksit Bharat 2047: A Thermo-Fluid Engineering Perspective
  International Journal of Scientific Progress and Technology Research 2026
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• Surrogate Modeling of Regulatory Economic Impact: An ANN, SVR, and Random Forest Comparative Study "Code & Courts: Machine Learning for Economic Compliance"
  Syed Eirfan Atthar, Syeda Ezhana Arman
  Journal of Global Economy 2026 DOI: 10.1956/jge.v22i3.855
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• Hybrid Deep Learning Framework for Predictive Maintenance in Industrial IoT Systems A Multi-Sensor Fusion Approach with Explainability 
  Syed Eirfan Atthar
  Journal of Supercomputing Springer 2026 DOI: 10.21203/rs.3.rs-10228081/v1
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• A Project-Based Learning Approach for Teaching Multi-Objective Optimization in CNC Turning: An Interdisciplinary Case Study
  Syed Eirfan Atthar, Arnab Buragohain
  Journal of Engineering Education Transformations 2026 DOI: 10.16920/jeet/2026/v39is4/26118
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• Machine Learning Applications in Life Sciences for Sustainable Healthcare and Human Well-Being
  Zenodo 2026 DOI: 10.5281/ZENODO.20906728
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• <p dir="ltr">AI-Enabled Digital Twins for Low-Carbon Logistics in Emerging Markets: A Human-Centric Framework for Cold-Chain Energy Efficiency and CBAM-Ready Supply Chains in India</p>
  Syed Eirfan Atthar
  2026 DOI: 10.6084/m9.figshare.31567009
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• A Project-Based Learning Approach for Teaching Multi-Objective Optimization in CNC Turning: An Interdisciplinary Case Study "Multi-Objective Optimization in CNC Turning using Taguchi-ANOVA"
  2026 DOI: 10.2139/ssrn.7087618
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• A Unified Mathematical Framework for Physics-Informed Digital Twins in Sustainable Engineering Optimization: Formulations, Convergence, and Pareto Frontiers
  2026 DOI: 10.2139/ssrn.7337898
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• AI-Enabled Digital Twins for Low-Carbon Logistics in Emerging Markets: A Human-Centric Framework for Cold-Chain Energy Efficiency and CBAM-Ready Supply Chains in India "A Human-Centric Framework for Energy-Efficient and Sustainable Cold-Chain Supply Chai…
  2026 DOI: 10.2139/ssrn.6394418
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• Advanced Hybrid Thermal Management System for High-performance Electric Vehicle Battery Packs A Novel Integration of Phase Change Materials and Microchannel Cooling
  Syed Eirfan Atthar
  2026 DOI: 10.2139/ssrn.6984700
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• Computational Mathematics and Intelligent Digital Modeling for Sustainable Engineering Applications "Educational Outcomes, Computational Methods and Interdisciplinary Applications"
  Syed Eirfan Atthar
  2026 DOI: 10.2139/ssrn.6997618
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• Data-Driven Thermo-Structural Optimization of Gas Turbine Blades Using Finite Element Modeling, Cooling Configurations, and Thermal Barrier Coatings
  Nilomjyoti Saikia, Syed Eirfan Atthar
  2026 DOI: 10.2139/ssrn.6992566
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