Aymen saad | Energy Technologies | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Aymen saad | Energy Technologies | Best Researcher Award

Lecturer | University of Technology Malaysia | Iraq

Mr. Aymen Saad is a dedicated academic and researcher in the field of computer and microelectronic systems engineering. He has established himself as an experienced lecturer at Al-Furat Al-Awsat Technical University, Kufa Management Technical College, where he has been contributing to education and research for many years. His work bridges theory and practice, with a strong interest in artificial intelligence and advanced computing systems. Alongside his teaching responsibilities, he has developed a reputation for impactful research, particularly in deep learning, machine learning, and biomedical image analysis, while maintaining a strong presence in international research communities.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Mr. Aymen Saad began his academic journey by earning a bachelor’s degree in computer science from the Islamic University of Iraq. He later advanced his knowledge through a master’s degree in computer and microelectronics systems engineering at University of Technology Malaysia. Building on this foundation, he is currently pursuing his doctoral studies at the same institution, focusing on advanced applications of artificial intelligence and deep learning in computer vision and signal processing. His academic progression reflects a clear commitment to developing both technical expertise and research excellence in applied computer science and engineering fields.

Professional Experience

Mr. Aymen saad has served as a lecturer at Al-Furat Al-Awsat Technical University in Iraq, teaching within the Department of Information Technology Management. His professional career extends beyond teaching, as he actively engages in academic research and publications in reputed international outlets. With significant contributions in artificial intelligence applications, he has collaborated with researchers worldwide, presenting in conferences and publishing in peer-reviewed journals. He has also developed practical frameworks for disease detection, image enhancement, and pattern recognition, demonstrating the applied relevance of his work in solving modern engineering and healthcare challenges.

Awards and Honors

Throughout his academic journey, Mr. Aymen Saad has been recognized for his research contributions and teaching excellence. His growing h-index reflects the impact of his work in artificial intelligence and computer vision. His involvement in international conferences has earned him scholarly visibility and recognition, while his consistent publishing record in leading indexed journals highlights his dedication to advancing research in his field. Additionally, his professional profiles across platforms such as Google Scholar, ResearchGate, and Scopus emphasize his active participation and acknowledgment within the global academic community.

Research Focus

Mr. Aymen saad ’s research focuses on artificial intelligence, deep learning, and computer vision with applications across healthcare, security, and engineering systems. His studies span image and video processing, pattern recognition, optical character recognition, and medical image classification. He has contributed significantly to the development of robust models for cancer detection, COVID diagnostics, and brain tumor classification, as well as innovations in license plate recognition and fire detection. His current and future work aims to explore hybrid intelligent systems, bio-inspired algorithms, and advanced deep learning frameworks for solving real-world problems with greater efficiency and accuracy.

Publication Top Notes

Classification COVID-19 Based on Enhancement X-Ray Images and Low Complexity Model
Published Year: 2021
Citation: 56

Classification of Bird Sound Using High-and Low-Complexity Convolutional Neural Networks
Published Year: 2022
Citation: 42

An Optimized Deep Learning Approach for Robust Image Quality Classification
Published Year: 2023
Citation: 38

A Novel Deep Learning Approach for Brain Tumors Classification Using MRI Images
Published Year: 2023
Citation: 35

Automatic Vehicle License Plate Recognition Using Lightweight Deep Learning Approach
Published Year: 2023
Citation: 29

Conclusion

Mr. Aymen Saad is a skilled computer and microelectronic systems engineer, academic, and researcher with a strong background in artificial intelligence. His education, professional teaching experience, and extensive research portfolio reflect his dedication to both learning and sharing knowledge. With numerous publications, conference presentations, and ongoing projects, he continues to advance innovative solutions in medical diagnostics, intelligent systems, and computational modeling. His future research aspirations highlight his determination to contribute further to global knowledge in AI, ensuring that his work remains impactful in both academic and practical domains.

Dr. Qian Guo | Energy technologies | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Qian Guo | Energy technologies | Best Researcher Award

Research Associate, University of Manchester, United Kingdom

Dr. Qian Guo is a dynamic researcher in the field of materials science and condensed matter physics, currently serving as a Postdoctoral Research Associate in the Department of Physics and Astronomy at the University of Manchester, UK. With a rich academic and professional background, she has made substantial contributions to solar-to-hydrogen conversion, 2D material ion intercalation, and energy devices. Her interdisciplinary work across physics, materials engineering, and sustainable energy technologies has earned her recognition at international levels. 🔬⚛️

Professional Profile

Google Scholar

ORCID

Scopus

🎓 Education Background

Dr. Guo holds a Ph.D. in Materials Science (2022) from Queen Mary University of London, where she specialized in photoelectrocatalysis for solar-to-hydrogen conversion under the supervision of Prof. Ana Sobrido and Prof. Magda Titirici. She obtained her Master of Engineering in Materials Engineering (2016) from the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, with a GPA of 90.9/100. Her academic journey reflects a strong foundation in both theoretical and applied materials science. 📘🎓

💼 Professional Experience

Since September 2022, Dr. Guo has been contributing to cutting-edge research on rechargeable ion batteries at the University of Manchester under Prof. Irina Grigorieva. Prior to that, she was a visiting Ph.D. student at Imperial College London, investigating biomass-derived carbon materials. Her earlier research includes innovative work on nanocomposites for electronic packaging during her master’s studies. Her collaborations span leading UK, European, and Chinese institutions, showcasing her strong international profile. 🌍🔧

🏅 Awards and Honors

Dr. Guo has received numerous prestigious awards, including the RSC Researcher Development Grant (2022), SuperSolar Conference Fund Award (2022), and SEMS Postgraduate Research Excellence Award (2021). She also earned the National Scholarship from the Ministry of Education of China (2015) and was recognized as an Outstanding Student for three consecutive years by the University of Chinese Academy of Sciences. Her accolades reflect her academic excellence and research innovation. 🥇📜

🔍 Research Focus

Her research centers on advanced functional materials for energy applications, particularly in photoelectrocatalysis, energy storage, and interfacial engineering of nanomaterials. Her expertise includes the design of novel materials for solar water splitting, carbon-based electrocatalysts, and graphene-based batteries. Dr. Guo’s interdisciplinary approach bridges material chemistry, physics, and engineering, driving forward next-generation clean energy technologies. ⚡🧫

📌 Conclusion

Dr. Qian Guo is an emerging leader in sustainable energy and materials research, known for her scientific rigor, innovation, and international collaborations. Her continued work in the field of rechargeable batteries and photoelectrocatalysis marks her as a vital contributor to the advancement of green energy technologies. 🌱🔋

📚 Top Notable Publications

  1. Single atom Ir on hematite photoanodes for solar water oxidation: catalyst or spectator?
    Journal of the American Chemical Society, 2023, 145(3), 1686–1695.
    ➤ Cited by 35+ articles.

  2. In-plane staging in lithium-ion intercalation of bilayer graphene
    Nature Communications, 2024, 15, 6933.
    ➤ Cited by 10+ articles.

  3. The role of carbon dots – derived underlayer in hematite photoanodes
    Nanoscale, 2020, 12, 20220–20229.
    ➤ Cited by 60+ articles.

  4. Carbon Dots in Solar to Hydrogen Conversion
    Trends in Chemistry, 2020, 2(7), 620–637.
    ➤ Cited by 85+ articles.

  5. Porous carbon nanosheets from biological nucleobase precursor as efficient pH-independent oxygen reduction electrocatalyst
    Carbon, 2020, 156, 179–186.
    ➤ Cited by 45+ articles.

  6. Study on the effects of interfacial interaction on the rheological and thermal performance of silica nanoparticles reinforced epoxy nanocomposites
    Composites Part B: Engineering, 2022, 245, 110214.
    ➤ Cited by 25+ articles.

  7. Photoelectrochemical imaging system with high spatiotemporal resolution for visualizing dynamic cellular responses
    Biosensors and Bioelectronics, 2021, 180, 113121.
    ➤ Cited by 40+ articles.

  8. High concentration Ti3+ in porous carbon‐doped TiO2 nanosheets for photocatalytic ammonia synthesis
    Advanced Materials, 2021, 33, 2008180.
    ➤ Cited by 50+ articles.

  9. Photoelectrochemical detection of calcium ions based on hematite nanorod sensors
    ACS Applied Nano Materials, 2022, 5, 17087–17094.
    ➤ Cited by 20+ articles.

  10. Label‑free imaging of cell apoptosis by a light‑addressable electrochemical sensor
    Analytical Chemistry, 2023, 95(23), 8898‑8905.
    ➤ Cited by 15+ articles.

 

Assist. Prof. Dr. Teerasak Somsak | renewable energy | Best Researcher Award

Published on by Computer Scientists Awards

Assist. Prof. Dr. Teerasak Somsak | renewable energy | Best Researcher Award

Lecturer, Ragamagala University of Technology Lann, Thailand

Asst. Prof. Teerasak Somsak (Ph.D.) is a dedicated academic and researcher in the field of Electrical Engineering, specializing in renewable energy and energy applications. Currently serving as a Lecturer at Rajamangala University of Technology Lanna, Thailand, he has made significant contributions to sustainable energy solutions, non-destructive testing, and rural development. With a strong background in photovoltaic systems, energy storage, and inductive wireless power transfer, he has been instrumental in advancing energy-efficient technologies. His extensive research and academic contributions continue to impact the fields of electrical engineering and environmental sustainability.

Publication Profile

Google Scholar

🎓 Education

Dr. Teerasak Somsak holds a Ph.D. in Electrical Engineering from Kanazawa University, Japan (2008). Prior to that, he earned an M.Eng. in Energy Technology (2000) and a Graduate Diploma in Energy Technology (1998) from King Mongkut’s University of Technology Thonburi. His academic journey began with a Higher Diploma in Electrical Power from Patumwan Institute of Technology in 1996, equipping him with a strong foundation in electrical and energy technologies.

💼 Experience

With over two decades of experience, Dr. Somsak has been actively engaged in research and academia. From 1998 to 2011, he worked as a researcher at King Mongkut’s University of Technology Thonburi, focusing on energy technology and sustainable power solutions. Since 2011, he has been a Lecturer at Rajamangala University of Technology Lanna, where he mentors students and leads research projects in renewable energy, energy storage, and rural electrification. His expertise extends to non-destructive testing and engineering solutions for agriculture.

🏆 Awards and Honors

Dr. Somsak’s contributions to renewable energy research have been widely recognized. In 2004, he received the Best Poster Presentation Award at the Photovoltaic Science and Engineering Conference (PVSEC-14) in Bangkok for his work on PV-Diesel Hybrid Systems. He was also a recipient of the prestigious Monbukagakusho (MEXT) Scholarship from the Japanese Ministry of Education, Culture, Sports, Science, and Technology, supporting his doctoral studies at Kanazawa University (2005-2008).

🔬 Research Focus

Dr. Somsak’s research primarily revolves around renewable energy applications, including photovoltaic, hydro, wind, and biomass energy systems. His work also extends to energy storage technologies and their applications in sustainable power generation. He has a keen interest in engineering solutions for agricultural sustainability (3EforA) and rural electrification. Additionally, he explores non-destructive testing methods using Eddy-current techniques, contributing to advancements in material evaluation and energy efficiency.

📚 Publications

A 10 kW Inductive Wireless Power Transfer Prototype for EV Charging in Thailand, IEEE Transactions on Electrical Engineering, Electronics, and Communications, 20(1), pp. 83-95. Cited in IEEE.

 Optimal solar energy on thermoelectric cooler of water generator in case study on flood crisis, Japanese Journal of Applied Physics, 57, 08RH05. Cited in JJAP.

 An economic evaluation comparison of solar water pumping system with engine pumping system for rice cultivation, Japanese Journal of Applied Physics, 54, 08KH01. Cited in JJAP.

Economic and Sensitivity Analyses for an Optimal Hybrid Power Generation for Stand-Alone Power Systems: Case of Klongrua, Phato, Chumphon, Thailand, 2022 International Electrical Engineering Congress (iEECON), Khon Kaen, Thailand. DOI: 10.1109/iEECON53204.2022.9741700.

A Prototype of Block UU Shape Ferrite Cores Inductive Wireless Power Transfer for EV Charger, 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand. DOI: 10.1109/ECTICON51831.2021.9454859.

🔚 Conclusion

Dr. Teerasak Somsak is a distinguished educator and researcher dedicated to advancing renewable energy solutions and sustainable power systems. His expertise in photovoltaic systems, wireless power transfer, and rural electrification has made a significant impact in the field of electrical engineering. Through his research, teaching, and numerous publications, he continues to contribute to global energy sustainability and technological advancements. 🌱⚡