Ms. Blessing Ayegba | Clean Energy | Research Excellence Award
Concordia University | Canada
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Amin Arzhangi is a dedicated Master’s student in Water Engineering and Hydraulic Structures at the University of Bojnord, recognized for academic excellence with a top-class ranking and strong research productivity. His work spans interdisciplinary domains of hydrology, ecohydrology, environmental hydraulics, sedimentology, river engineering, and water quality assessment. He has developed a robust research profile through active involvement in advanced modeling, machine learning applications in environmental systems, and hydro-geomorphic analyses. His research contributions focus on critical issues such as hypoxia prediction in rivers and reservoirs, water quality index modeling, biodegradability assessment, sediment pollution, and river system hydraulics. He has authored numerous peer-reviewed papers in reputable international journals—including Nature Communications Sustainability, Science, and Ecosystem Health and Sustainability—with several manuscripts under review. His publications reflect methodological depth, spanning machine learning models, hydrological process modeling, reaeration estimation, and spatial analysis of riverine and coastal systems. His work has accumulated meaningful citations, demonstrating its contribution to the scientific community. In parallel to his academic research, he has presented at well-regarded international conferences in Turkey, Portugal, and Iran, addressing river morphology, organic carbon dynamics, and land-use impacts on water quality. He also contributes professionally as a reviewer for established journals such as Science of the Total Environment, Journal of Hydrology, Results in Engineering, and others, and serves on an editorial board. His applied skills include machine learning for environmental prediction, hydrodynamic and hydraulic modeling (HEC-RAS, QUAL2K, Hydrus), GIS and remote sensing, and programming in Python and R. He is actively engaged in multiple ongoing projects involving sediment source tracing, coastal ecosystem analysis, turbulence modeling, water quality forecasting, and remote sensing-based hydrological assessments. Through strong academic rigor, interdisciplinary collaborations, and impactful research output, he demonstrates a clear trajectory toward becoming an emerging researcher in water resources engineering and environmental hydro systems.
Partani, S., Arzhangi, A., Danandeh Mehr, A., Ezzati, F., & Saber, A. (2025). Integrated hydraulic and reaeration analysis for sustainable water quality management in river systems. SSRN. https://doi.org/10.2139/ssrn.5365496
Arzhangi, A., & Partani, S. (2025, November). A multi-scale framework for BOD5 prediction from water quality to hydro-geomorphic interpolation. iScience. https://doi.org/10.1016/j.isci.2025.114177
Arzhangi, A., Partani, S., Danandeh Mehr, A., Ezzati, F., & Saber, A. (2025, September 12). Instant water quality index (WQI) prediction via reaeration process and hydraulic parameters in the river system (Version 1) [Preprint]. Research Square. https://doi.org/10.21203/rs.3.rs-7481412/v1
Partani, S., & Arzhangi, A. (2025, August 17). Developing a reliable predictive model for the biodegradability index in industrial complex effluent. Scientific Reports, 15(1), 30108. https://doi.org/10.1038/s41598-025-15866-0
Arzhangi, A., & Partani, S. (2025, August 12). Development of a biodegradability index for urban rivers using detergent concentration: A case study from Tehran, Iran. American Journal of Environmental Science and Engineering, 458, Article 142521. https://doi.org/10.11648/j.ajese.20250903.17
Getahun Ayele Tessema is an emerging researcher and PhD Candidate at the Indian Institute of Technology Roorkee (IITR), specializing in energy efficiency and sustainable built environments. He holds a B.Tech and Master’s degree with distinction and previously served as a Lecturer at Adama Science and Technology University, where he earned the Best Teacher Award for his academic excellence. Currently supported by the prestigious ICCR Africa PhD Scholarship from the Government of India, he continues to advance impactful research in the Built Environment Lab at IIT Roorkee. His academic and professional journey reflects consistent excellence, with active engagement in research, teaching, and community-oriented scientific contributions. He has completed or is working on five research projects, published two journal papers, and maintains a growing citation record accessible through Google Scholar. His collaborative work spans international and institutional partnerships, and he holds memberships in two professional organizations aligned with his research areas. Getahun’s research focuses on energy-efficient buildings, energy modelling, energy-use behaviour, and energy analysis. His contributions offer significant insights into the determinants of household energy-saving behaviour in Ethiopian urban settings. By integrating personal norms with the Theory of Planned Behaviour, he has developed a comprehensive framework that helps understand and influence energy-conscious behaviour. This work supports the development of national energy conservation strategies and provides a scientific basis for formulating building energy codes—an urgent need for sustainable urban growth in Ethiopia. His findings aim to guide policymakers, enhance occupant awareness, and contribute to cleaner energy access through practical, community-responsive solutions. Through his multidisciplinary research, academic leadership, and commitment to sustainable development, Getahun exemplifies innovation, scholarly excellence, and societal impact. His work aligns strongly with the vision of promoting energy-efficient built environments and positions him as a strong candidate for the Best Researcher Award.
Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Analysis of residential electricity consumption in Ethiopian condominiums: Leveraging cluster analysis for targeted electrification interventions. In 2025 IEEE 13th International Conference on Smart Energy Grid Engineering (SEGE). IEEE.
Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Modelling energy-saving behaviour in Ethiopian urban households: Integrating personal norms and demographic moderators to the theory of planned behaviour. Energy and Buildings, —, 116709.
Dr. Mahdi Salehi is a highly respected Professor of Accounting at Ferdowsi University of Mashhad, known for his extensive scholarly contributions to the fields of auditing, financial management, and corporate governance. Born in Hidaj City, Zanjan Province, he has established a strong academic presence through a combination of rigorous research, influential teaching, and active engagement in the professional accounting community. Dr. Salehi’s academic background includes degrees in business management, financial management, and accounting. His early academic work explored the role of financial intermediaries in supporting companies listed on the Tehran Stock Exchange, while his doctoral research examined the corporate audit expectation gap in Iran. These foundational studies helped shape his research trajectory and continue to inform his scholarly outlook. His research interests encompass financial management, ownership structure, auditing, banking, corporate governance, and capital markets. He has authored an extensive body of publications in well-regarded refereed and indexed journals. His work addresses key issues such as audit expectations, audit independence, fraud detection, capital market behavior, financial distress prediction, customer satisfaction in banking and insurance, and the relationship between corporate governance structures and organizational performance. Dr. Salehi’s research often focuses on emerging markets, offering valuable insights into the dynamics of financial systems, regulatory environments, and organizational behavior. His comparative studies—particularly those examining audit practices across different countries—have contributed to a deeper global understanding of audit quality and stakeholder expectations. He is fluent in English, Farsi, and Turkish, enabling him to collaborate widely and contribute to international academic dialogue. With active profiles on major scholarly platforms such as Google Scholar and Scopus, Dr. Salehi is recognized for the reach and impact of his research. Through continuous publication, academic leadership, and engagement with diverse research themes, he has become a prominent and influential voice in the field of accounting.
Salehi, M., & Rostami, V., & Mogadam, A. (2010). Usefulness of accounting information system in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(2), 186–195.
Salehi, M., & Alipour, M. (2010). E-banking in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(1), 201–209.
Alipour, M., Salehi, M., & Shahnavaz, A. (2009). A study of on the job training effectiveness: Empirical evidence of Iran. International Journal of Business and Management, 4(11), 63–68.
Hemmatfar, M., Salehi, M., & Bayat, M. (2010). Competitive advantages and strategic information systems. International Journal of Business and Management, 5(7), 158–168.
Salehi, M., Fakhri Mahmoudi, M. R., & Daemi Gah, A. (2019). A meta-analysis approach for determinants of effective factors on audit quality: Evidence from emerging market. Journal of Accounting in Emerging Economies, 9(2), 287–312.
A highly skilled engineering professional with extensive experience in mechatronics, renewable energy systems, additive manufacturing, and Internet of Things (IoT) technologies. With a strong academic foundation including advanced research in hybrid energy harvesting systems, this expert has contributed significantly to cutting-edge developments in sustainable power solutions for sensor networks and pipeline monitoring applications. Current work in additive manufacturing and reverse engineering involves leading research and development initiatives, operating advanced 3D printing technologies (FDM, SLA), managing high-precision 3D scanning, and conducting specialized training programs. This blends practical engineering with innovation-driven problem-solving across industrial and applied research environments. Previously, research contributions in sensor and energy harvesting systems included the design and development of micro Kaplan and Crossflow turbines, IoT-based pipeline monitoring solutions, energy-efficient wireless sensor nodes, and experimental setups for testing hybrid energy harvesters. These projects demonstrate strong proficiency in mechanical design, simulation, prototyping, and system integration. With several years of experience in academia, this professional has taught undergraduate theory and laboratory courses in mechanics of materials, fluid mechanics, robotics, and engineering software tools such as MATLAB and SolidWorks. Extensive involvement in STEM capacity-building programs further highlights commitment to engineering education and technology dissemination. Research expertise spans renewable energy, hybrid and flow-based energy harvesting, control systems, self-powered systems, power management circuits, wireless sensors, and IoT technologies. Published work includes multiple journal articles in reputable international outlets focusing on piezoelectric, electromagnetic, and hybrid energy harvesters, turbine modeling, RF energy harvesting, and sensor network applications. Professional development includes specialized training in IoT, Arduino, Raspberry Pi, MATLAB, image processing, robotics, content writing, and digital marketing, demonstrating a broad multidisciplinary skillset. Overall, this profile reflects a dynamic researcher and engineer dedicated to advancing sustainable energy solutions, intelligent monitoring systems, and modern manufacturing technologies.
Profiles: Orcid | LinkedIn | Google Scholar
Rahman, W. U., & Khan, F. U. (2025). A hybrid flow energy harvester to power an IoT-based wireless sensor system for the digitization and monitoring of pipeline networks. Machines, 13(11). https://doi.org/10.3390/machines13111025
Rahman, W. U., & Khan, F. U. (2025). An integrated fluid flow and solar hybrid energy harvester for pipeline monitoring system. AIP Advances. https://doi.org/10.1063/5.0284001
Rahman, W. U., & Khan, F. U. (2025). A survey of flow-based energy harvesters for powering sustainable wireless sensor nodes. Journal of Renewable and Sustainable Energy. https://doi.org/10.1063/5.0237597
Rahman, W. U., & Khan, F. U. (2023). A hybrid flow energy harvester using combined piezoelectric and electromagnetic transductions for pipeline network monitoring. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389X221147647
Dr. Jie Shen, Associate Researcher at the Institute of Plasma Physics, HFIPS, Chinese Academy of Sciences, specializes in plasma energy applications for environmental and biotechnological innovations. His work focuses on plasma-induced biological effects, microalgae carbon sequestration, antibiotic strain enhancement, and waterborne organic compound degradation. With over 25 SCI publications (h-index 20) and 1,084 citations, he has led multiple national and industrial projects, secured patents, and collaborated internationally. His research has advanced low-temperature plasma technology as a sustainable tool for microbial breeding, environmental remediation, and high-value biochemical production.
Dr. Jie Shen earned his PhD in Nuclear Science and Engineering from the prestigious Chinese Academy of Sciences, where he developed expertise in plasma physics and its applications in environmental and biological systems. His doctoral research laid the foundation for his later contributions in plasma-induced mutagenesis, biological effects of reactive species, and environmental remediation technologies. The rigorous academic training combined with extensive laboratory work equipped him with deep theoretical knowledge and strong experimental skills, enabling him to integrate interdisciplinary approaches in solving complex scientific challenges.
Currently serving as an Associate Researcher at the Institute of Plasma Physics, HFIPS, Chinese Academy of Sciences, Dr. Shen leads a research team focused on advancing plasma energy applications for environmental sustainability and microbial biotechnology. His professional journey includes leading multiple high-impact national and industry-linked projects, notably in selective plasma mutagenesis for microalgae and antibiotic-producing strains. He has collaborated extensively with both academic and industrial partners, published in leading SCI journals, and contributed to technological innovations through patents and specialized devices. As a peer reviewer for numerous high-impact journals, he plays an active role in advancing the global scientific discourse on plasma technology.
Dr. Shen’s research centers on low-temperature plasma and its multifaceted applications in environmental and biological systems. He investigates plasma-induced liquid-phase reactive species, their biological interaction mechanisms, and their role in microbial breeding. His work extends to developing plasma technologies for enhancing carbon sequestration in microalgae, improving antibiotic strain productivity, sterilizing harmful microorganisms, and degrading organic pollutants in water. By combining plasma physics with biotechnology, his research aims to create sustainable solutions for environmental challenges while boosting industrial productivity in microbial and biochemical sectors.
Dr. Shen’s academic and research excellence has been recognized through multiple distinctions, including leadership roles in nationally funded projects and significant contributions to collaborative industrial innovations. His patents on plasma sterilization and therapy devices have demonstrated practical value in both healthcare and environmental applications. The impact of his work is reflected in his strong citation record, invitations for research collaborations, and his role as a reviewer for prominent scientific journals, marking him as a leading contributor in the field of applied plasma science.
Recent progress of atmospheric and room‐temperature plasma as a new and promising mutagenesis technology
Author: Dongao Li; Jie Shen; Qiang Ding; Jinyong Wu; Xiangsong Chen
Journal: Cell Biochemistry and Function
Year: 2024
Principles and Characteristics of Cold Plasma at Gas Phase and Gas-Liquid Phase
Author: jie shen
Journal: Applications Of Cold Plasma In Food
Year: 2022
Applications of atmospheric pressure plasma in microbial inactivation and cancer therapy: a brief review
Author: jie shen
Journal: Plasma Science and Technology
Year: 2020
Preferential production of reactive species and bactericidal efficacy of gas-liquid plasma discharge
Author: jie shen
Journal: Chemical Engineering Journal
Year: 2019
Dr. Jie Shen exemplifies the qualities of a world-class environmental scientist whose research blends innovation, impact, and practical application. His contributions to low-temperature plasma technology have advanced both scientific understanding and industrial practice, delivering measurable environmental and economic benefits. With a strong record of publications, patents, and successful collaborations, he stands as a model of scientific leadership and is highly deserving of the Best Researcher Award in Environmental Science.