Barnokhon Temerbekova | Youth and Women Leadership in Green Energy | Women Researcher Award Published on 20/03/202620/03/2026 by Green Energy Award Dr. Barnokhon Temerbekova | Youth and Women Leadership in Green Energy | Women Researcher Award Almalyk Branch of the National University of Science and Technology | Uzbekistan Dr. Barnokhon Temerbekova An emerging researcher in metallurgical and information-control systems, this author demonstrates growing scholarly impact through interdisciplinary work integrating machine learning and industrial applications. With 6 publications and 17 citations, and an h-index of 3, the research profile reflects consistent contributions to data-driven modeling, including advanced architectures such as hybrid LSTM–DNN frameworks. Collaboration with 11 co-authors highlights active engagement in scientific networks and knowledge exchange. The work emphasizes adaptive forecasting, system reliability, and optimization in complex industrial environments, contributing to improved efficiency and decision-making. Overall, the research shows promising potential for advancing intelligent systems with practical societal and technological relevance. Citation Metrics (Scopus) 20 15 10 5 0 17 Citations 6 Documents 3 h-index Citations Documents h-index View Scopus Profile View Google Scholar Profile View ORCID Profile Featured Publications Intelligent Control Technology for Reliability of Measuring Information Chemical Technology, Control and Management, 2018 Software and Technical Implementation for Improving Measurement Information Reliability Vestnik NTUU KPI, 2012 Noise Immunity Criterion for Complex Automated Technological Processes E3S Web of Conferences, 2023 Hybrid Cloud-Based Information and Control System Using LSTM-DNN Neural Networks Processes, 2025 Development of Integrated Digital Twins of Control Systems Using Cloud Technologies Chernye Metally, 2023
Acacio Amaral | Renewable Energy Systems | Excellence in Research Award Published on 20/03/202620/03/2026 by Green Energy Award Assist. Prof. Dr. Acacio Amaral | Renewable Energy Systems | Excellence in Research Award Polytechnic University of Coimbra | Portugal Dr. Acácio Amaral is a recognized researcher in power electronics and intelligent diagnostic systems, with expertise in reliability analysis, signal processing, and machine learning applications in electromechanical systems. His work emphasizes predictive maintenance, fault detection, and optimization of power converters, contributing to advanced energy solutions. He has authored 53 scientific publications, achieving 1,162 citations and an h-index of 18, reflecting strong academic impact . His collaborative research spans interdisciplinary domains, advancing smart engineering methodologies. His contributions support sustainable technological development, enhancing system efficiency, reliability, and innovation in modern energy and industrial applications. Citation Metrics (Scopus) 1200 1000 800 600 400 200 0 1162 Citations 53 Documents 18 h-index Citations Documents h-index View Scopus ProfileView ORCID Profile Featured Publications Enhancing Power Converter Reliability Through a Logistic Regression-Based Non-Invasive Fault Diagnosis Technique Applied Sciences • 2025 Intelligent Estimation of ESR and C in AECs for Buck Converters Using Signal Processing and ML Regression Computers, Materials & Continua • 2025 Optimized Preventive Diagnostic Algorithm for Assessing Aluminum Electrolytic Capacitor Condition Using DWT and Kalman Filter Electronics • 2024 An Intelligent Framework for Accurate Identification of Open-Circuit Faults in Asymmetrical Six-Phase Induction Motors Conference Paper • 2024 Assessment of the Integrity of Aluminum Electrolytic Capacitors Using a Logistic Regression Model Conference Paper • 2024
Armayau Sani | Renewable Energy Systems | Research Excellence Award Published on 18/03/202620/03/2026 by Green Energy Award Dr. Armayau Sani | Renewable Energy Systems | Research Excellence Award University of Nizwa | Oman Dr. Sani Armaya’u Alhaji is an emerging researcher in energy economics and sustainability, focusing on renewable energy, green finance, and natural resource management. Research contributions emphasize the nexus between financial inclusion, foreign direct investment, and green energy technologies, addressing global sustainability challenges. With 30 Scopus-indexed publications, 74 citations, and an h-index of 5, the work reflects growing academic influence and consistent scholarly output. Active collaborations with international researchers enhance interdisciplinary perspectives and research impact. Contributions support evidence-based policy development and sustainable economic growth. Overall, the research demonstrates strong potential to advance knowledge in green energy transitions and financial sustainability while contributing to broader societal and environmental outcomes Citation Metrics (Scopus) 120 100 80 60 40 20 0 74 Citations 30 Documents 5 h-index Citations Documents h-index View Scopus ProfileView Google Scholar ProfileView ORCID Profile Featured Publications CEO discretion, political connection and real earnings management in Nigeria Management Research Review • 2020 The Effect of Forensic Accounting Investigation in Detecting Financial Fraud: A Study in Nigeria International Journal of Academic Research in Business and Social Sciences • 2019 An empirical analysis of free cash flow and dividend policy in the Nigerian oil and gas sector Research Journal of Finance and Accounting • 2016 Corporate board attributes and dividend pay out policy of listed deposit money banks in Nigeria International Journal of Research in IT, Management and Engineering • 2017 Does ownership concentration matter for the relationship between CEO characteristics and real earnings management: evidence from Jordan EuroMed Journal of Business • 2023
Citation Metrics (Scopus) 120 100 80 60 40 20 0 74 Citations 30 Documents 5 h-index Citations Documents h-index View Scopus ProfileView Google Scholar ProfileView ORCID Profile Featured Publications CEO discretion, political connection and real earnings management in Nigeria Management Research Review • 2020 The Effect of Forensic Accounting Investigation in Detecting Financial Fraud: A Study in Nigeria International Journal of Academic Research in Business and Social Sciences • 2019 An empirical analysis of free cash flow and dividend policy in the Nigerian oil and gas sector Research Journal of Finance and Accounting • 2016 Corporate board attributes and dividend pay out policy of listed deposit money banks in Nigeria International Journal of Research in IT, Management and Engineering • 2017 Does ownership concentration matter for the relationship between CEO characteristics and real earnings management: evidence from Jordan EuroMed Journal of Business • 2023
Amro Alamaren | Renewable Energy Systems | Research Excellence Award Published on 18/03/202618/03/2026 by Green Energy Award Assist. Prof. Dr. Amro Alamaren | Renewable Energy Systems | Research Excellence Award Al al-Bayt university | Jordan Dr. Amro Saleem Alamaren is a researcher specializing in financial innovation, with a focus on renewable energy markets, green finance, and emerging digital assets. His work explores volatility dynamics, spillover effects, and interconnectedness among green bonds, cryptocurrencies, and energy systems. He has authored 8 Scopus-indexed publications, with 14 citations and an h-index of 1, reflecting early-stage but growing academic influence. His research demonstrates interdisciplinary collaboration and contributes to understanding financial stability and sustainable investment strategies. By addressing critical challenges in energy economics and financial systems, his work supports informed decision-making and promotes sustainable economic development in the context of global energy transitions. Citation Metrics (Scopus) 40 30 20 10 0 14 Citations 8 Documents 1 h-index Citations Documents h-index Scopus Profile Google Scholar ORCID Profile Featured Publications Volatility Spillovers among Leading Cryptocurrencies and US Energy and Technology Companies Financial Innovation • 2024 • Citations: 24 The Relationship between Financial Stability and Insurance International Business Management • 2019 • Citations: 5 Estimating Beta and the Security Market Line CAPM Test for Dow Jones 30 (2015–2019) Journal of Management Information and Decision Sciences • 2021 • Citations: 3 The Influence of Blockchain Technology on Reducing Cybersecurity Risks in Financial Transactions of Commercial Banks Frontiers in Blockchain • 2025 • Citations: 1 An Empirical Study of COVID-19 Vaccine Announcement of Selected Companies Using Event Study Methodology International Journal of Finance, Insurance and Risk Management • 2021 • Citations: 1
Muhammad Amir khan | Renewable Energy Systems | Research Excellence Award Published on 18/03/202618/03/2026 by Green Energy Award Mr. Muhammad Amir khan | Renewable Energy Systems | Research Excellence Award The Islamia University of Bahawalpur | Pakistan Mr. Muhammad Amir Khan is A researcher in electrical and electronic engineering, his work focuses on intelligent fault diagnostics, predictive maintenance, and machine learning applications in power and energy systems. His research integrates advanced data-driven techniques for induction motor analysis, photovoltaic system monitoring, and industrial reliability enhancement. He has authored 8 Scopus-indexed publications, receiving over 102 citations with an h-index of 4, reflecting a steadily growing academic impact. His collaborations with multidisciplinary researchers contribute to innovative and practical engineering solutions. His work supports improved system efficiency, sustainability, and operational reliability, demonstrating meaningful societal impact through advancements in smart energy systems and modern industrial applications Citation Metrics (Scopus) 200 150 100 50 0 102 Citations 8 Documents 4 h-index Citations Documents h-index View Scopus Profile View ORCID Profile Featured Publications Adaptive Deep Belief Networks and LightGBM-Based Hybrid Fault Diagnostics for SCADA-Managed PV Systems: A Real-World Case Study Electronics • 2025 Faults, Failures, Reliability, and Predictive Maintenance of Grid-Connected Solar Systems: A Comprehensive Review Applied Sciences • 2025 An Improved Hybrid Lightweight Approach for Bearing Fault Detection and Classification in Three-Phase Squirrel Cage Induction Motors Machines • 2026 An Advanced Diagnostic Approach for Broken Rotor Bar Detection and Classification in DTC Controlled Induction Motors Using DSHAP-IFS GBDT Methodology Machines • 2024 Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms Machines • 2023
The Islamia University of Bahawalpur | Pakistan Mr. Muhammad Amir Khan is A researcher in electrical and electronic engineering, his work focuses on intelligent fault diagnostics, predictive maintenance, and machine learning applications in power and energy systems. His research integrates advanced data-driven techniques for induction motor analysis, photovoltaic system monitoring, and industrial reliability enhancement. He has authored 8 Scopus-indexed publications, receiving over 102 citations with an h-index of 4, reflecting a steadily growing academic impact. His collaborations with multidisciplinary researchers contribute to innovative and practical engineering solutions. His work supports improved system efficiency, sustainability, and operational reliability, demonstrating meaningful societal impact through advancements in smart energy systems and modern industrial applications
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