Hongwei Qu | Wind Turbines | Best Researcher Award

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Dr. Hongwei Qu | Wind Turbines | Best Researcher Award

Professor at northeast electric power university, China

Dr. Hongwei Qu is a Professor at Northeast Electric Power University, specializing in new energy, photovoltaic modules, and wind turbines. He leads the Jilin University-Enterprise Joint Technology Innovation Laboratory, focusing on solar panel efficiency, dust accumulation diagnosis, and wind turbine optimization. He has secured multiple research grants, published 20+ academic papers (SCI/EI-indexed), and holds six patents. His industry collaborations have resulted in cost-saving innovations worth over 20 million yuan. A recipient of the Jilin Provincial Science and Technology Progress Award, Dr. Qu is dedicated to advancing renewable energy solutions. ⚡📡🔍

 

Publication Profile

Scopus

Academic and Professional Background

Dr. Hongwei Qu, Ph.D., is an Associate Professor and Master’s Supervisor at the School of Energy and Power Engineering, Northeast Electric Power University. He leads the Jilin University-Enterprise Joint Technology Innovation Laboratory for New Energy Industry, focusing on renewable energy and energy storage. His research covers solar photovoltaic efficiency, dust accumulation diagnosis, hot spot and hidden crack EL detection, wind turbine blade wake analysis, and intelligent operation and maintenance of wind turbines. Dr. Qu’s work advances sustainable energy solutions, enhancing the efficiency and durability of solar and wind energy systems. ⚡🔍🌞

🚀 Research & Innovations

Dr. Hongwei Qu has made remarkable contributions to renewable energy research. He has participated in two projects under the National Natural Science Foundation of China Youth Fund and received the Second Prize of Jilin Provincial Science and Technology Progress 🏆. He has led multiple projects, including 2 by Jilin Science and Technology Department, 2 by Jilin Education Department, and 2 by Jilin Science and Technology Bureau, along with 20+ horizontal research projects. His work includes 20 academic papers 📄, 10+ indexed in SCI & EI, 6 invention patents, 9 software copyrights, and 1 textbook 📚, driving technological advancements in energy innovation. ⚡🌍

🌞🔬 Research Focus

Dr. Hongwei Qu’s research revolves around photovoltaic (PV) efficiency, dust accumulation effects, and advanced coatings for energy applications. His work covers dust deposition impact on PV output ⚡, localized shadowing effects, and fault diagnosis using probabilistic neural networks 🤖. He also explores temperature-dependent PV performance, optimal cleaning cycles for solar panels, and optical transmission models for dusty modules. His expertise extends to superhydrophobic PTFE coatings 🏭, anti-scale polydopamine coatings, and PV-PCM systems under varying tilt angles, wind conditions, and ambient temperatures 🌬️. His findings enhance renewable energy efficiency, sustainability, and smart PV maintenance. 🌍🔋

Publication Top Notes

🔹 Qu, H., Zhao, H., Wang, W., Zhang, J. (2025). Experimental study on the losses of dusty PV modules considering irradiance levels and tilt angles. Energy Reports. Cited by: 0 📄⚡

🔹 Guo, S., Deng, X., Guo, T., Li, X., Tian, J. (2025). Optimization of biomass torrefaction densification process parameters: Impact on hydrogen-rich syngas generation in the gasification process. Biomass and Bioenergy. Cited by: 0 🌱🔋

🔹 Guo, S., Gan, J., Yang, L., Li, X., Zhao, D. (2025). Simulation and mechanistic exploration of the mid to late-stage hydrothermal carbonization process in biomass. Process Safety and Environmental Protection. Cited by: 0 🔥🌍

Conclusion

Dr. Hongwei Qu is a highly suitable candidate for the Best Researcher Award due to his extensive contributions to renewable energy research, technological innovations, and industry collaborations. His work in solar photovoltaic efficiency, energy storage, and wind turbine optimization demonstrates a strong impact on both academia and industry. While his citation index and editorial appointments could be improved, his patents, funded projects, and cost-saving solutions position him as a leading researcher in the field of energy and power engineering.

Azadeh mirvakili | Bioremediation | Best Researcher Award

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Dr. Azadeh mirvakili | Bioremediation | Best Researcher Award

Assistant Prof. at Persian Gulf University

Dr. Azadeh Mirvakili (b. 1984) is an Assistant Professor at the School of Chemical and Petroleum Engineering, Persian Gulf University. She earned her Ph.D. in Chemical Engineering from Shiraz University in 2016. Her research focuses on microalgae, industrial waste treatment, hydrogen energy, renewable energies, and process simulation. With 40+ journal articles and 6 conference papers, her expertise spans energy, environmental technology, computational fluid dynamics, and chemical engineering. She teaches courses in reaction engineering, process control, and combustion engineering. 🔥♻️⚡

Publication Profile

Orcid

Academic Background🎓🔬

Dr. Azadeh Mirvakili (b. 1984) is an Assistant Professor at the School of Chemical and Petroleum Engineering, Persian Gulf University, Bushehr, Iran. She earned her Ph.D. in Chemical Engineering from Shiraz University in 2016, following her M.S. (2011) and B.S. (2007) from the same institution. Her research focuses on microalgae, industrial waste treatment, reaction engineering, hydrogen energy, renewable energies, and environmental technology. She specializes in energy conversion, fuel processing, process simulation, and optimization. Dr. Mirvakili actively contributes to advancements in sustainable energy and environmental engineering. 🌱⚡🔬

Professional Experience 👩‍🏫🔬

Dr. Azadeh Mirvakili (b. 1984) is an Assistant Professor in the Chemical Engineering Department at the School of Chemical and Petroleum Engineering, Persian Gulf University, Bushehr, Iran, since September 2017. She specializes in chemical engineering, energy systems, and environmental technology, contributing significantly to research and academia. With extensive experience in process simulation, reaction engineering, and renewable energy, Dr. Mirvakili plays a key role in advancing sustainable industrial solutions. Her expertise extends to fuel processing, hydrogen energy, and waste treatment technologies. 🌱⚡🔬

🔬 Research Focus of Dr. Azadeh Mirvakili

Dr. Azadeh Mirvakili’s research primarily focuses on sustainable energy ⚡, environmental engineering 🌱, and chemical process optimization 🏭. Her expertise spans microalgae-based biofuels 🦠, industrial waste treatment ♻️, reaction engineering ⚗️, and hydrogen energy systems 🔋. She actively explores renewable energy conversion ☀️, fuel processing technologies ⛽, and advanced separation & purification methods 🌊. Additionally, she contributes to computational fluid dynamics 🖥️ for process simulation and optimization 📊. Her interdisciplinary work bridges chemical engineering 🏗️, environmental science 🌍, and energy sustainability 🔄, fostering innovative solutions for cleaner and more efficient industrial practices.

Publications Top Notes

🔬 Reaction Engineering – Designing novel reactor configurations for energy-efficient processes.


♻️ Renewable Energy & Hydrogen Economy – Investigating hydrogen as a sustainable energy carrier.


🏭 Gas-to-Liquid (GTL) & Fischer-Tropsch Synthesis – Optimizing fuel production from natural gas.


⚗️ Environmental & Industrial Waste Treatment – Reducing emissions and improving process efficiency.


📊 Process Simulation & Optimization – Enhancing industrial reactions using computational methods.

Her work contributes significantly to clean energy and environmental sustainability. 🌍✨

 

Davit Davtyan | Catalyst | Best Researcher Award

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Dr. Davit Davtyan | Catalyst | Best Researcher Award

Dr. Davit Davtyan, Institute of Chemical Physics named after A.B. Nalbandyan NAS RA, Armenia

Dr. Davit Davtyan is an accomplished researcher and educator in the field of chemical sciences, specializing in catalysis, materials synthesis, and chemical analysis. He holds a Bachelor’s and Master’s degree in Chemistry from Yerevan State University, Armenia, and earned his Candidate of Chemical Sciences title from the Institute of Chemical Physics after A.B. Nalbandyan NAS RA in 2021. With extensive training in advanced analytical techniques across Italy, Estonia, and Finland, Dr. Davtyan is currently the Head of the Laboratory of Catalysis at the Institute of Chemical Physics, Yerevan. His research interests include the synthesis of nanopowders, catalytic processes, and the application of microwave-assisted methods in materials chemistry. He has authored several publications in prestigious journals such as Ceramics International and Chemical Engineering Journal. 🧪🔬

Publication Profile

Orcid

Education & Training 🎓

Dr. Davit Davtyan, born on September 7, 1987, is an Armenian scientist with extensive training in chemistry and analytical sciences. He earned his Bachelor’s and Master’s degrees with honors in Applied Chemistry and Chemistry from Yerevan State University. Dr. Davtyan obtained his Candidate of Chemical Sciences degree from the Institute of Chemical Physics, NAS RA, in 2021. He has completed various specialized training courses, including MS-TOF and LC-MS Method Validation in Italy, Germany, Estonia, and Finland. His expertise extends to analytical instruments such as HPLC, UHPLC, GC, and elemental analyzers. Dr. Davtyan’s contact details are provided for further inquiries. 📚🔬

Work Experience 💼

Dr. Davit Davtyan has an extensive career in the field of chemical physics and catalysis. He is currently the Head and Acting Head of the Laboratory of Catalysis at the Institute of Chemical Physics after A.B. Nalbandyan, where he has been a researcher since 2021. Previously, he held the position of Junior Researcher at the same institution from 2016 to 2021. Dr. Davtyan also led the Medical Devices Registration Department at the Scientific Center of Drug and Medical Technology Expertise (2018–2021). His earlier roles include technical management and senior analysis in various research centers. Dr. Davtyan served as a Senior Sergeant and expert in chemical weapons defense in the RA Armed Forces. 🔬🧪

Research Focus 🔬🧪

Dr. Davit Davtyan’s research primarily focuses on the synthesis and catalytic applications of advanced materials, particularly carbides and nanopowders. His work includes the development of microwave-assisted synthesis techniques for producing various carbide-based catalysts like molybdenum and tungsten carbides, and their use in hydrogenation, desulfurization, and other catalytic reactions. He also explores the properties of rare-earth hexaborides, boron monophosphide, and rhenium diboride nanopowders for industrial applications. His contributions extend to enhancing the efficiency of catalytic processes, especially in fuel and environmental technologies. Dr. Davtyan’s expertise includes material characterization, catalyst design, and sustainable chemical processes. ⚗️🌍

Publication Top Notes

  • Microwave-Assisted Synthesis and Catalytic Activity of Nano-Sized Molybdenum Carbide in Naphthalene Hydrogenation – DOI: 10.2139/ssrn.4930994, 2024 | 🔬📈
  • Rapid Microwave-Assisted Synthesis of Rare-Earth Hexaborides Powders – DOI: 10.1177/17436753241302225, 2024 | ⚡💥
  • Catalytic Aerobic Desulfurization of Fuels in the Presence of Nanosized Mixed Carbide FeWC – DOI: 10.1016/j.cej.2023.142641, 2023 | 🔬💡
  • Microwave-Assisted Synthesis of Boron Monophosphide Nanopowder – DOI: 10.1016/j.ceramint.2022.10.330, 2023 | 🔄✨
  • Catalysts Based on Molybdenum Carbide Modified with Nickel and Alumina in Hydrogenation of Hydrocarbons and Hydrodesulfurization – DOI: 10.1134/s0040579522040042, 2022 | ⚙️🛢️
  • New Type of Catalyst for Efficient Aerobic Oxidative Desulfurization Based On Tungsten Carbide Synthesized by the Microwave Method – DOI: 10.1021/acsomega.1c06969, 2022 | 🔬🌿
  • Superhard B4C-ReB2 Composite by SPS of Microwave Synthesized Nanopowders – DOI: 10.1016/j.matlet.2020.129163, 2021 | 💪⚡
  • Hydrogenation of Alkenes on Molybdenum and Tungsten Carbides – DOI: 10.1134/s0040579520050036, 2020 | 🔬🔋
  • Microwave Synthesis of B4C Nanopowder for Subsequent Spark Plasma Sintering – DOI: 10.1016/j.jmrt.2019.09.052, 2019 | ⚡🧪
  • Microwave-Assisted Preparation and Characterization of Nanoscale Rhenium Diboride – DOI: 10.1016/j.ceramint.2018.08.359, 2018 | 🔬⚙️
  • Direct Reduction of Ammonium Molybdate to Elemental Molybdenum by Combustion Reaction – DOI: 10.1016/j.cej.2011.01.080, 2011 | 🔥🧪
  • Reduction of MoO3 by Zn: Reducer Migration Phenomena – DOI: 10.1016/j.ijrmhm.2010.05.005, 2010 | 🔄⚙️

 

Samia Moulebhar | Energy Award | Best Researcher Award

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Ms. Samia Moulebhar | Energy Award | Best Researcher Award

Ms. Samia Moulebhar, universite mostaganem, Algeria

Ms. Samia Moulebhar is a dedicated researcher and PhD candidate in Embedded Electronic Systems at Université Mostaganem (2023). With a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent, her work focuses on applying artificial intelligence to diagnostics and renewable energy solutions. Samia has presented at international conferences on the performance of organic solar cells and has contributed significantly to publications in advanced solar technology, including a paper on optimizing solar cell efficiency using multiobjective genetic algorithms. Proficient in tools like Matlab, SCAPS-1D, and Proteus, Samia also lectures in electronics and physics. 💻📈

 

Publication Profile

Orcid

Academic Background 

Ms. Samia Moulebhar is currently pursuing a PhD in embedded electronic systems (2023) and holds a Master’s in Instrumentation from Université Belhadj Bouchaib Ain Temouchent (2022). Her Bachelor’s in Electrical Engineering focused on electronics, and she has also earned a BTS in database informatics. Proficient in tools such as Matlab, SCAPS-1D, Proteus, and Arduino, she demonstrates strong technical capabilities essential for advanced research in electronics and renewable energy systems.

Research Contributions

Ms. Moulebhar has a solid record of research publications, particularly in the field of organic solar cell technology. She has presented at multiple notable conferences, such as the First National Conference on Material Sciences and Renewable Energy, where she discussed improvements in organic solar cell efficiency, and at the International Conference on Renewable Energies and Power Systems (ICREPS 2024). Her presentation on absorber layer effects in organic solar cells at the Workshop on Sustainability and Advanced Technologies is a testament to her commitment to advancing sustainable energy solutions.

Research Focus

Her published work includes an influential paper on optimizing organic solar cells using hybrid approaches, incorporating NSGA-II, SCAPS-1D simulation, and response surface methodology. This research, featured in physica status solidi (a), showcases her focus on cutting-edge optimization techniques, addressing both performance and efficiency in solar technology.

Professional Experience

With teaching experience at Université Belhadj Bouchaib and roles in instrumentation and computer services, Ms. Moulebhar combines academic research with practical application. This background enhances her capability to bridge theoretical knowledge with real-world applications, particularly in the sustainable energy sector.

Conclusion

Ms. Samia Moulebhar is a promising candidate for the Best Researcher Award due to her focused research on organic solar cell technologies, extensive conference participation, and a track record of published research. Her technical expertise and ongoing contributions to renewable energy systems demonstrate her potential as an innovative researcher in the field of electronics and sustainable technologies.

 

Publication Top Notes

Hybrid Optimization Approach Using Multiobjective Genetic Algorithm NSGA‐II, SCAPS‐1D Simulation, and Response Surface Methodology for Organic Solar Cell Analysis

 

 

Obed Nelson ONSOMU | Energy | Best Researcher Award

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Mr. Obed Nelson ONSOMU | Energy | Best Researcher Award

Researcher , ANKARA YILDIRIM BEYAZIT UNIVERSITY , Kenya
🌟 Obed Nelson Onsomu is a dedicated Energy Systems Engineer with a strong academic foundation, holding an MSc in Energy Systems Engineering and currently pursuing a Ph.D. in the same field. He has a deep interest in sustainable energy solutions, particularly in the optimization of energy systems and Virtual Power Plants (VPP). With extensive research experience, he is passionate about scaling energy systems for sustainable development. Obed combines his technical expertise with strong communication skills, making him a valuable contributor to the field of energy engineering.

Publication Profile

ORCID

Strengths for the Award

  1. Strong Academic Background: Obed Nelson Onsomu holds an MSc in Energy Systems Engineering and is currently pursuing a Ph.D. in the same field. His focus on Virtual Power Plants (VPP) demonstrates a strong alignment with contemporary research areas in energy systems.
  2. Extensive Research and Technical Expertise: He has specialized skills in distributed generation, optimization of energy systems, and electricity markets. His experience with MATLAB-Simulink, C, C++, Python, and SCADA systems further solidifies his technical proficiency.
  3. Diverse Professional Experience: Onsomu has a solid track record as an R&D Project Engineer, where he worked on significant projects like developing a PID controller for energy storage systems. His roles have included project management, system design, and simulation, showcasing his ability to handle complex technical challenges.
  4. International Experience and Communication Skills: His work experience across different countries (Turkey and Kenya) highlights his adaptability and ability to work in multicultural environments. His proficiency in multiple languages, including English, Swahili, and Turkish, is an asset for international collaboration.
  5. Publications and Certifications: His publications on Virtual Power Plants and certifications in IoT, Blockchain, and Embedded Systems reflect his commitment to continuous learning and contribution to the field of energy systems.

Areas for Improvement

  1. Increased Research Output: While Onsomu has relevant publications, increasing the number and impact of his research publications, particularly in high-impact journals, could strengthen his candidacy.
  2. Expanded Network and Collaboration: Engaging in more collaborative research projects and international conferences could enhance his visibility and networking within the academic community.
  3. Focus on Innovation and Commercialization: While his technical skills are strong, focusing on the practical application and commercialization of his research, especially in energy markets, could add a valuable dimension to his work.

 

Education

🎓 Obed Nelson Onsomu has an impressive educational background in engineering. He earned his Bachelor of Science (B.S.) in Mechatronic Engineering from the University of Turkish Aeronautical Association, Ankara, Turkey, in 2017. He then completed his MSc in Energy Systems Engineering in 2020 from Yildirim Beyazit University, Ankara, Turkey. Currently, Obed is pursuing a Ph.D. in Energy Systems Engineering, focusing on Virtual Power Plants, from the same university, expected to complete in December 2023.

Experience

💼 Obed Nelson Onsomu has a diverse range of professional experiences. Since January 2020, he has been working as an R&D Project Engineer at INAVITAS in Turkey, where he has been involved in developing PID controllers for energy storage systems and working on grid-renewable power exchange projects. He also has experience as a Sales Engineer, Manager, STEM Instructor, and Installation Specialist, demonstrating his versatility and leadership in various roles across the energy and education sectors.

Research Focus

🔬 Obed Nelson Onsomu is primarily focused on research related to Virtual Power Plants (VPP), distributed generation, and the optimization of energy systems. His Ph.D. thesis is centered on the application of VPPs in sustainable energy development. He has also worked extensively on topics such as electricity markets, energy storage systems, and renewable energy integration.

Awards and Honours

🏅 Obed Nelson Onsomu has been recognized for his academic and professional contributions, although specific awards and honors are not detailed. His continued pursuit of excellence in his Ph.D. studies and professional projects reflects his commitment to advancing the field of energy systems engineering.

Publications Top Notes

  1. “Virtual Power Plant Application for Rooftop Photovoltaic Systems” – Published in [Journal Name, Year], cited by [Number of Articles].
  2. “Virtual Power Plant for Kenya Rural Energy Needs” – Published in [Journal Name, Year], cited by [Number of Articles].

Conclusion

Obed Nelson Onsomu demonstrates strong potential as a candidate for the Research for Best Researcher Award. His academic background, research expertise, and international experience make him a suitable contender. However, to enhance his candidacy, he could focus on increasing his research output, expanding his academic network, and emphasizing the practical impact of his work in the energy sector. Overall, he is a promising researcher with the potential to make significant contributions to the field of energy systems engineering.

 

Minseok Ryu | Energy | Best Researcher Award

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Minseok Ryu | Energy | Best Researcher Award

Assist Prof Dr Minseok Ryu, Arizona State University, United States

Dr. Minseok Ryu is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University, Tempe, AZ. He holds a Ph.D. in Industrial and Operations Engineering from the University of Michigan and an M.S. and B.S. in Aerospace Engineering from KAIST. Dr. Ryu’s research spans advanced scientific computing, privacy-preserving federated learning, and power system resilience. He has held notable positions at Argonne and Los Alamos National Laboratories and has been recognized by the Department of Energy for his highlighted research. He is a member of prominent societies like INFORMS and IEEE. 🌟🧑‍🏫🔬

Publication profile

google scholar

Education 

Her hold a Ph.D. in Industrial and Operations Engineering from the University of Michigan, Ann Arbor, completed in May 2020 🎓. Prior to this, I earned a Master’s degree in Aerospace Engineering from KAIST in Daejeon, Korea, in February 2014 🚀. My academic journey began with a Bachelor’s degree in the same field at KAIST, which I completed in February 2012 ✈️. This extensive background has equipped me with a robust understanding of both industrial systems and aerospace technologies, paving the way for a dynamic and interdisciplinary career 🛠️🌍.

Honors & Awards

In 2024, I had the honor of being an Alliance Fellow with the Mayo Clinic and ASU Alliance for Health Care during their esteemed Faculty Summer Residency program. My research has consistently been recognized, including being highlighted by the Department of Energy’s Advanced Scientific Computing Research in both 2023 and 2022 🌟. My academic journey has been supported by several prestigious awards, such as the Rackham Graduate Student Research Grant from the University of Michigan in 2016 🎓 and multiple fellowships in 2015. Additionally, my early academic achievements include the National Science Foundation Student Award 🏆 and recognition from the Government of Korea for outstanding scholarship 🌍.

Employment 💼

He is currently an Assistant Professor at Arizona State University (since August 2023), after a tenure as a Postdoctoral Appointee at Argonne National Laboratory from 2020 to 2023.

Research focus

M. Ryu’s research spans privacy-preserving federated learning frameworks, including differential privacy and distributed control of optimal power flow in electric grids. They also contribute to distributionally robust optimization techniques for scheduling and staffing problems, particularly in healthcare and power systems. Their work emphasizes practical algorithms and frameworks (like APPFL) for enhancing privacy and efficiency in distributed systems. Additionally, they explore mitigating uncertain impacts of geomagnetic disturbances on electric grids. Overall, M. Ryu’s research integrates optimization, privacy, and robustness into practical applications across diverse domains. 📊🔒

Publication top notes

Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

A Privacy-Preserving Distributed Control of Optimal Power Flow

An extended formulation of the convex recoloring problem on a tree

Nurse Staffing under Absenteeism: A Distributionally Robust Optimization Approach

Differentially private federated learning via inexact ADMM with multiple local updates

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Algorithms for Mitigating the Effect of Uncertain Geomagnetic Disturbances in Electric Grids

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx

 

 

Abdulla Al Mamun | Regenerative Power | Best Researcher Award

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Mr. Abdulla Al Mamun | Regenerative Power | Best Researcher Award

Mr. Abdulla Al Mamun, Green University of Bangladesh, Bangladesh

Abdulla Al Mamun is a dedicated graduate in Electrical and Electronics Engineering from Green University of Bangladesh 🎓. He possesses strong interpersonal skills and a passion for applying his knowledge to real-world challenges. With a keen interest in renewable energy, he conducted research on integrating PV-based energy production into urban infrastructure. As a Vice President of the Department of EEE, he showcased leadership and organizational skills. His academic achievements include publications in esteemed journals and presentations at international conferences 🌍. Abdulla is committed to making a positive impact in his field and beyond.

 

Publication Profile:

Scopus

Education and Qualification :

Abdulla Al Mamun pursued his Bachelor of Science in Electrical and Electronics Engineering (EEE) at Green University of Bangladesh, graduating between 2019 and 2023 🎓. Prior to that, he completed his Higher Secondary School Certificate at Noakhali Science & Commerce School & College from 2016 to 2018, followed by his Secondary School Certificate at K.B Union High School from 2014 to 2016. These educational experiences provided him with a strong foundation in academics and laid the groundwork for his subsequent achievements in the field of engineering and renewable energy research 📚.

Research Experience:

Abdulla Al Mamun’s research experience showcases his dedication to advancing renewable energy solutions. His paper titled “Integrating PV-based energy production utilizing the existing infrastructure of MRT-6 at Dhaka, Bangladesh” was accepted in Heliyon ELSEVIER Journal and presented at esteemed international conferences, including the 10th International Conference on Power System and the 2023 5th International Conference on Sustainable Technologies for Industry 5.0. Additionally, his work was acknowledged at the 10th International Power System Conference and the FoNeS-AIoT 2024 2nd International Conference, highlighting his contributions to the field of sustainable energy 📝.

Research Focus:

Abdulla Al Mamun’s research focus spans various areas, including renewable energy, deep learning, IoT-based systems, and predictive modeling using artificial intelligence. His notable contributions include research on integrating PV-based energy production into urban infrastructure, as well as developing deep learning approaches for lane marking detection and heart disease prediction. Additionally, he has explored topics such as smart energy metering systems and the inhibitory potential of natural compounds in diabetic complications. These diverse interests showcase his commitment to innovation and addressing contemporary challenges in technology and healthcare 🌱🔬.

Publication Top Notes:

 

Integrating PV-based energy production utilizing the existing infrastructure of MRT-6 at Dhaka, Bangladesh

Serum creatinine phosphokinase: A potential prognostic marker in assessing clinical severity with organophosphorus poisoning

A comprehensive review on clinically proven natural products in the management of nerve pain, with mechanistic insights

A deep learning approach for lane marking detection applying encode-decode instant segmentation network

IoT-Based Smart Energy Metering System (SEMS) Considering Energy Consumption Monitoring, Load Profiling and Controlling in the Perspective of Bangladesh