Shipon Chandra Barman Portrait
Researcher • Scientist • National Interest

Shipon Chandra Barman

Supplier Quality Engineer • GameChange Solar • Norwalk, Connecticut, USA
"Advancing Renewable Energy, Quality Engineering & Smart Energy Systems research to support global green transition objectives, optimize solar manufacturing quality, and address U.S. clean energy resilience priorities."
11
Publications
70
Citations
6
h-index
3
i10-index

Professional Summary

About The Researcher

I am a Specialist in Renewable Energy, Quality Engineering, and Smart Energy Systems, with an extensive academic foundation bridging chemical engineering, industrial engineering, advanced manufacturing, and sustainable energy systems. My career and scholarly output address real-world bottlenecks in domestic solar infrastructure reliability, supply chain resilience, and quality optimization.

Through rigorous experimental research and AI-driven methodologies, my work contributes to advancing the state-of-the-art in photovoltaic module manufacturing, green energy policies, and microgrid security. My research program is designed with U.S. clean energy mandates in mind, specifically aiming to enhance domestic production yields, safeguard utility grids, and lower structural failures in next-generation solar tracker assemblies.

As a process and supplier quality expert, I have applied robust lean manufacturing principles, Six Sigma methodologies, and statistical process controls to streamline operations at leading manufacturing plants. My contributions include the invention of a UK-registered Solar Power Output Quality Optimizing Device, showing my focus on developing translational technologies that directly support the energy transition.

Core Research & Industry Expertise
Renewable Energy Systems Supplier Quality Engineering AI Energy Grid Optimization Lean Manufacturing & Six Sigma Photovoltaic Supply Chains Statistical Process Control (SPC) Additive Manufacturing Root Cause & FMEA Analysis

Areas of Inquiry

Research Focus

Renewable Energy & Photovoltaic Manufacturing Quality

Investigating process optimization parameters in domestic solar manufacturing, focusing on lamination processes, defect prevention (micro-cracks, tabber-to-framer alignment errors), and steel fabrication quality. Applies Design of Experiments (DOE) and Statistical Process Control (SPC) to boost manufacturing yield.

U.S. National Importance

Directly aligns with U.S. goals under the Inflation Reduction Act to build secure, high-yield, and defect-free domestic photovoltaic supply chains.

AI-Enabled Smart Grid Systems & Energy Optimization

Developing cloud-enabled, stochastic frameworks that integrate artificial intelligence with smart utility infrastructure. This work builds low-carbon energy dispatch strategies, monitors grid stability, and optimizes energy storage parameters for smart urban systems.

U.S. National Importance

Addresses critical vulnerabilities in clean energy transmission networks, ensuring robust grid defense against sudden supply fluctuations and cybersecurity threats.

Advanced Manufacturing & Sustainable Materials

Formulating additive manufacturing standards and high-precision CNC setups. Focuses on lightweight, fire-resistant alloys and the evaluation of earth-abundant catalysts for sustainable industrial waste-to-energy processes.

U.S. National Importance

Boosts U.S. engineering capability in high-precision structural metals required for next-generation aerospace, military, and energy generation applications.

Evidence of Scholarship

Peer-Reviewed Publications

Journal Articles & Conference Proceedings
2025
Cloud Enabled AI Smart Energy Infrastructure for Industrial and Utility Applications M. Akhtaruzzaman, S. C. Barman, M. A. Hossain, M. Ahmad 8th International Conference on Energy, 2025.
2025
Experimental Optimization of Photovoltaic Module Lamination Parameters Using Design of Experiments and Statistical Process Control A. K. Chowdhury, S. C. Barman Energy Environment and Economy, 2025.
2025
A Hybrid GIS–MCDM Framework for Regional Renewable Energy Prioritization under Energy Security Constraints in the United States S. C. Barman, A. K. Chowdhury, A. Rahman Paradise Journal of Environmental Systems, 2025.
2026
Additive Manufacturing of Lightweight, Fire-Resistant Alloys for Automotive and Aerospace Applications M. A. Hossain, S. C. Barman, S. M. T. Islam Journal of Mechanical, Civil and Industrial Engineering, 2026.
2024
Artificial Intelligence Enabled Manufacturing Optimization Strategies for Enhancing Resilience and Scalability of Domestic Photovoltaic Supply Chains - A Systemic Review S. C. Barman, M. R. Haque Journal of Business and Social Sciences, 2024.
2024
Coupled dynamics of ecological footprints under energy transition, land use change, and urbanization: An econometric systems analysis N. Chinchwade, S. C. Barman, M. A. Hossain, M. Karmakar International Journal on Economics, Finance and Sustainable Development, 2024.
2023
Integrated artificial intelligence and stochastic optimization framework for resilient and low carbon renewable energy manufacturing systems S. C. Barman, A. I. Opy Energy Environment and Economy, 2023.
2023
Socioeconomic and institutional determinants of public acceptance of waste-to-energy policies: Evidence for sustainable energy transitions S. C. Barman, S. Raval, M. D. Hossian Innovative: International Multi-disciplinary Journal, 2023.
2022
Experimental validation of earth abundant heterogeneous catalysts toward sustainable energy conversion S. C. Barman, Z. Wang, G. Yasin, M. F. Wen Central Asian Journal of Theoretical and Applied Sciences, 2022.
2022
A study on hybrid manufacturing systems integrating additive manufacturing and CNC machining for high-precision industrial component production M. A. Hossain, S. C. Barman, W. Pi, S. M. T. Islam Journal of Mechanical, Civil and Industrial Engineering, 2022.
2021
Heterogeneous catalysis for industrial waste to energy conversion process design and environmental implications S. Chandra Journal of Primeasia, 2021.
Submitted Articles (Under Review)
2026
Enhancing Efficiency, Resilience, and Sustainability of Smart Grids and Micro grids for Next-Generation Energy Systems S. C. Barman Submitted to Springer Nature, Journal: Energy, Sustainability and Society (Q1 Journal).
2026
Climate Change Mitigation Through Renewable Energy and Electric Vehicles in Smart Urban Systems: A Multi-Criteria Decision Analysis S. C. Barman Submitted to Journal: Miscellane Geographica - Regional Studies on Development (Q3 Journal).
2026
Energy Efficiency and Environmental Sustainability in Dynamic Renewable Energy Systems Powered by Artificial Intelligence S. C. Barman Submitted to IEEE (Conference Paper).
View full profile on Google Scholar

USCIS Criteria Evidence

Evidence of Impact & Recognition

Scholarly Citations
70
Total citations as of 2026 (Google Scholar)
6
h-index
3
i10-index
Approved
UK Patent: 6528715

Solar Power Output Quality Optimizing Device

Class 13 (Equipment for Production/Distribution of Electricity), Subclass 04 (Solar Equipment). Approved by the UK Intellectual Property Office. An innovative hardware-software system optimized for real-time monitoring and parameter correction to stabilize solar energy production under volatile environmental configurations.

Professional Industry Engineering Experience

Supplier Quality Engineer

GameChange Solar / GameChange Energy
01/2026 – Present
Execute supplier quality plans for raw material, in-process, and outgoing steel structures to ensure compliance with ASTM standards. Investigate field related non-conformities using 8D, FMEA, and MSA. Lead FAI/AQL audits across stamping, welding, machining, and galvanization processes to minimize supply risks for structural solar tracker assemblies.

Manufacturing Engineer

Altec Air, LLC
06/2025 – 10/2025
Optimized performance testing processes for solar cell manufacturing desiccant dryer testing. Implemented Value Stream Mapping (VSM) and 5S initiatives, reducing operational waste and improving line efficiency for new product introductions.

Process Engineer

Hanwha Qcells USA Inc
11/2024 – 05/2025
Optimized structural solar lamination and frame processes. Conducted EMI-driven data analysis from Tabber to Framer to reduce yield loss. Performed root cause audits on defects including micro-cracks, alignment gaps, lamination residue, and surface scratches.

Manufacturing Process Engineer I

Shanghai Hutchison White Cat Co. Ltd.
04/2020 – 08/2022
Analyzed liquid processing and packaging plant operations. Established testing specifications and statistical monitoring parameters utilizing Minitab and TapRoot software to troubleshoot process failures.

Honors, Awards & Professional Service

Mar 2026

Clean Energy Tech Award 2026

Awarded at the Sixth International Conference on Research Methodology (COM 6.0 2026) in recognition of pioneering research on solar lamination optimization and advanced manufacturing systems.

2026

Editorial Board Membership

Appointed as an Editorial Board Member for the journal Frontiers in Computer Science and Artificial Intelligence, contributing to the quality validation of emerging publications in machine learning applied to physics and grid automation.

Ongoing

Peer Reviewer Service

Invited journal reviewer for the research publication Energy Environment and Economy. Maintains active professional memberships in the Institute of Electrical and Electronics Engineers (IEEE) and the American Solar Energy Society (ASES).

Jan 2022

Dean Scholarship - University of New Haven

Awarded for academic excellence and research potential, supporting MS Industrial Engineering studies.

Sep 2018

Outstanding International Student Award

Granted by Beijing University of Chemical Technology in recognition of exemplary academic results, leadership, and chemical engineering project contributions.

Scholarly Endorsements

"Mr. Barman's work in utilizing Design of Experiments and statistical quality methods to improve the robustness of solar lamination is highly relevant to U.S. manufacturing sectors. His capacity to optimize solar process lines provides a clear roadmap for scaling up clean energy infrastructure without sacrificing manufacturing yields."

Dr. Nadiye Ozlem Edril, Ph.D., Associate Professor of Mechanical and Industrial Engineering, University of New Haven

"His background combining chemical processing logic with industrial quality engineering is unique. The solar optimization frameworks he has published contribute significantly to regional energy security calculations, proving that his methodologies represent a substantial contribution to our national interest."

Dr. Siddharth G. Chatterjee, Ph.D., Associate Professor, Department of Chemical Engineering, SUNY College of Environmental Science & Forestry

Inquiries & Collaboration

Contact Information

If you are an attorney, peer reviewer, or academic collaborator wishing to discuss my work, request formal recommendation letters, or coordinate evaluations regarding U.S. renewable energy resilience, please feel free to reach out.

Corporate Office

GameChange Solar / GameChange Energy
Norwalk, Connecticut, USA

Download Curriculum Vitae (PDF) Visit Google Scholar Profile