Mr. Kamal Deen Moro | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Kamal Deen Moro | Renewable Energy Systems | Research Excellence Award

Administration | Northwestern Polytechnical University | China

Kamal Deen Moro is a Graduate Research Assistant at Northwestern Polytechnical University, specializing in applied economics with core expertise in development economics, energy and environmental economics, and financial economics. He holds an MSc in Applied Economics with advanced training in econometrics, statistical modeling, and industrial economics, as well as a Bachelor of Commerce in Accounting with strong foundations in microeconomics, quantitative methods, and financial reporting. His professional experience includes supporting research design, conducting literature reviews, analyzing complex datasets, contributing to academic publications, developing grant proposals, and participating in interdisciplinary international projects, complemented by earlier roles in internal auditing, financial administration, and institutional service. His research focuses on renewable energy transitions, environmental sustainability, industrialization dynamics, policy uncertainty, and economic growth, resulting in multiple peer-reviewed publications that examine green technology deployment, environmental Kuznets relationships, hydropower impacts, and cleaner energy transitions. He has led and contributed to student organizations, coordinated projects, and engaged in community education initiatives. Kamal holds professional certifications in data analysis, visualization, and advanced STATA, with additional proficiency in R, EViews, Excel, and Python. His achievements include academic honors, recognition for outstanding participation in international academic programs, and excellence in mathematics. He is also an active member of the Institute of Chartered Accountants Ghana, strengthening his professional engagement. His scholarly contributions are reflected in 21 citations, 7 documents, and an h-index of 2, underscoring his growing impact in the fields of applied and environmental economics.

Profile: Scopus

Featured Publications

Moro K.D.*, Xi J., Fumey M.P., Awuye S.K., Sackitey G.M. Industrialization, energy demand and environmental pollution nexus in MINT economies: Does cleaner energy transition and environmental technology play a mitigating role? J. Environ. Manage., 2025, 376, 124451.

Moro K.D.* Resource dependencies, market concentration, trade barriers and green technology deployment: A comparative analysis of solar, wind, and hydropower installation patterns. Renew. Energy, 2025.

Dr. Liu Bai | Renewable Energy Systems | Editorial Board Member

Published on by Electrical Engineering

Dr. Liu Bai | Renewable Energy Systems | Editorial Board Member

Postdoctoral Fellow | Harbin Institute of Technology | China

Liu Bai is an Assistant Researcher and Postdoctoral Fellow at the Harbin Institute of Technology, specializing in predictability, energy forecasting, solar forecasting, and structural failure prediction, where he contributes to advancing energy meteorology and data-driven engineering analysis. He holds a Ph.D. in Structural Engineering from the Harbin Institute of Technology and a Bachelor’s degree in Civil Engineering from Northeast Agricultural University, with academic training that supports his interdisciplinary research spanning renewable energy systems and structural behavior modeling. His professional experience includes leading multiple scientific research projects, serving as a visiting scholar at prominent research institutes, and contributing to national-level postdoctoral research initiatives, reflecting strong leadership in collaborative and applied research environments. His research outputs include more than 30 peer-reviewed publications in high-impact journals covering solar irradiance predictability, deep-learning-based solar forecasting, structural performance assessment, and concrete behavior modeling, alongside contributions to innovation through several granted patents. He also serves as a youth editor for multiple scientific journals, reviews manuscripts for leading international publications in energy and computational fields, and is an active member of professional societies, including roles within the Chinese Particle Society and the Aerosol Professional Committee, demonstrating recognized expertise and service within the research community.

Profile: Scopus

Featured Publications

Liu Bai*, Predictability and forecast skill of solar irradiance across large-scale regions using advanced statistical and machine-learning frameworks. Renewable & Sustainable Energy Reviews, Accepted.

Liu Bai*, Deep-learning–enhanced solar irradiance prediction and uncertainty quantification based on multi-task and physically constrained modeling approaches. Solar Energy, Accepted.

Liu Bai, Data-driven structural performance assessment and failure prediction of reinforced concrete and masonry systems under complex loading conditions. Structural Concrete, Accepted.

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Published on by Electrical Engineering

Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award

Senior Firmware Automation Engineer | TAE Power Solutions | United States

Ms. Soujanya Reddy Annapareddy is a Senior Firmware Automation Engineer at TAE Power Solutions, recognized for her expertise in embedded systems, firmware validation, and automation engineering. She holds advanced degrees in Computer Technology and Electronics and Communication Engineering, forming a strong interdisciplinary foundation that bridges software and hardware innovation. With extensive experience in developing Python-based automation frameworks, integration testing tools, and validation systems for complex embedded platforms, she has led and contributed to numerous industry and research projects aimed at enhancing automation efficiency and system reliability. Her research primarily focuses on firmware automation, embedded systems validation, IoT test architectures, software quality engineering, and cloud-integrated automation solutions. She has authored and co-authored more than twenty papers in international peer-reviewed journals and conferences, presenting impactful findings on energy-efficient embedded systems and adaptive control algorithms for battery energy storage systems. Beyond research, Ms. Annapareddy has served as a peer reviewer and judge for multiple reputed international journals, evaluating technical manuscripts across software automation and data-driven technologies. Her professional affiliations include membership in IEEE and active collaborations with multidisciplinary teams in academia and industry. She has been honored with recognitions for excellence in energy efficiency and innovation, reflecting her commitment to advancing intelligent, sustainable embedded technologies. Through her technical leadership, scholarly contributions, and dedication to continuous innovation, Ms. Soujanya Reddy Annapareddy exemplifies the qualities of a forward-thinking engineer and researcher in the global field of firmware automation and embedded systems engineering.

Profile: Google Scholar 

Featured Publications

Soujanya Reddy Annapareddy*, Managing power flows and energy efficiency in embedded systems for battery energy storage systems (BESS). Int. J. Adv. Innov. Dev. Res., Accepted.

Soujanya Reddy Annapareddy*, Python-based automation frameworks for firmware validation and integration testing in embedded platforms. Int. J. Innov. Res. Comput. Technol., 2024, 8(3), 245–252.

Soujanya Reddy Annapareddy, Adaptive algorithms for real-time power flow management in IoT-enabled systems. Int. J. Autom. Control Technol., 2024, 7(2), 118–129.

Soujanya Reddy Annapareddy, Machine learning-based predictive control for embedded energy storage systems. Int. J. Firmware Modern. Res., 2024, 6(4), 342–350.

Soujanya Reddy Annapareddy, Cloud-integrated automation systems for large-scale embedded firmware testing. Int. J. Latest Res. Publ., 2024, 5(1), 97–105.