A M Almas Shahriyar Azad | Renewable energy | Young Scientist Award

Posted on by ScienceFather

Mr. A M Almas Shahriyar Azad | Renewable energy | Young Scientist Award

Prospective Graduate Student at Rajshahi University of Engineering & Technology, Bangladesh

Khaled Mohammad Shifullah Bhuiya is a dedicated B.Sc. student in Industrial & Production Engineering at Rajshahi University of Engineering & Technology (RUET), set to graduate in 2024. His commitment to sustainable practices and innovative technologies drives his passion for renewable energy and environmental solutions. Through collaborative research, Khaled aims to tackle pressing environmental challenges, contributing significantly to both academia and industry.

Publication Profile

scholar

Education 🎓📚

Khaled completed his B.Sc. in Industrial & Production Engineering at RUET with a CGPA of 3.31/4.00, achieving an impressive 3.79 in his final year. He also holds a Higher Secondary Certificate with a perfect GPA of 5.00 from Notre Dame College, Dhaka, which laid a strong foundation for his engineering pursuits. His academic journey reflects his dedication and aptitude for engineering and environmental sciences.

Experience 🔍📝

Khaled has peer-reviewed articles for Thermal Science and Engineering and received a Certificate of Excellence in Reviewing from the Journal of Energy Research and Reviews. His research experience includes multiple accepted and ongoing projects related to sustainable energy and environmental impact, showcasing his analytical and collaborative skills in advancing innovative solutions.

Awards and Honors 🏆🌟

Khaled received a Certificate of Excellence in Reviewing from the Journal of Energy Research and Reviews in July 2024, acknowledging his contributions to the academic community. His commitment to excellence in research is evident through his active involvement in peer review and his contributions to various impactful projects in renewable energy.

Research Focus 🌍🔋

Khaled’s research interests include Sustainable Energy Integration, Renewable Energy Systems, and Advanced Predictive Analytics. His projects emphasize machine learning applications in energy and environmental research, addressing waste management and energy recovery, and optimizing renewable energy technologies. He aims to contribute to solutions for environmental sustainability through innovative engineering practices.

Conclusion

Khaled Mohammad Shifullah Bhuiya is a promising candidate for the Young Scientist Award, with a strong educational foundation, relevant research experience, and a focus on sustainable and innovative solutions to environmental challenges. His ongoing and completed research projects demonstrate his commitment to impactful work that aligns with global sustainability goals.To further enhance his candidacy, Khaled should focus on expanding his professional network, increasing his publication output, and pursuing interdisciplinary collaborations. With continued dedication and a strategic approach to his career development, he is well-positioned to make significant contributions to his field and emerge as a leading young scientist.

Publication  Top Notes

Assessment of Energy Consumption and Emissions of Fabric Production Lines in Bangladesh

Authors: KMS Bhuiya, AM Azad, I Arafat, M Hasan, SA Udoy, AC Diganta, Sohel, Md. Hadaitul Islam, Md. Ashraful Islam, Osman Tamal
Year: 2024

2. An Integrated Framework for Assessing Renewable-Energy Supply Chains Using Multicriteria Decision-Making: A Study on Bangladesh

Authors: AMAS Azad, ZT Oishi, MA Haque, P Das, SA Udoy, KMS Bhuiya
Publication: Clean Energy 8 (3), 1-19
Year: 2024

3. Advancing Economical and Environmentally Conscious Electrification: A Comprehensive Framework for Microgrid Design in Off-Grid Regions

Authors: AMAS Azad, ZT Oishi, MA Islam, MR Islam
Publication: Global Challenges
Year: 2024

4. Overall Equipment Effectiveness (OEE) Calculation in Manufacturing Industries: A Case Study

Authors: MA Haque, MM Rahman, S Miah, AM Azad, AMA Shahriyar
Publication: International Conference on Mechanical, Industrial and Materials Engineering
Year: 2022

5. An Integrated Framework for Investigating the Relationship Between Overall Equipment Effectiveness (OEE) and Downtime

Authors: MA Haque, AMAS Azad, M Ghosh, ZT Oishi, MM Islam
Publication: 5th International Conference in Industrial and Mechanical Engineering
Year: 2022

Yattou EL FADILI | Renewable energy | Best Researcher Award

Posted on by ScienceFather

Ms. Yattou EL FADILI | Renewable energy | Best Researcher Award

Mr at Faculty of Sciences Dhar El Mahraz, Fez, Morocco

Yattou El Fadili is a dedicated doctoral student at the Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University in Fez, Morocco. With a strong foundation in physics, she is passionate about renewable energy technologies, particularly in the area of wind turbine control. Yattou is recognized for her commitment to advancing energy solutions that are sustainable and efficient. She actively contributes to research initiatives, collaborating with fellow scholars and engaging in interdisciplinary projects aimed at enhancing energy conversion systems. Through her academic pursuits, Yattou strives to address global energy challenges and promote environmentally friendly technologies.

Publication Profile

orcid

Education📚🎓

Yattou El Fadili earned her B.Sc. in Physics with an emphasis on Electronics in 2019, followed by an M.Sc. in Microelectronics, Signals, and Systems in 2021, both from the Faculty of Sciences Dhar El Mahraz at Sidi Mohamed Ben Abdellah University. Currently pursuing her Ph.D., she is enrolled in the Computer Science, Signal, Automation, and Cognitivism Laboratory at the same institution. Her educational journey reflects a commitment to mastering complex concepts in physics and engineering, equipping her with the necessary skills to tackle contemporary challenges in renewable energy systems.

Experience🔬🔧

As a doctoral student, Yattou El Fadili is engaged in cutting-edge research at the Faculty of Sciences in Fez, Morocco. Her academic background includes a comprehensive understanding of wind turbine control, robust stability, and singular systems. She has participated in various research projects focused on wireless power transmission and controller design. Yattou’s involvement in these projects allows her to apply theoretical knowledge to practical applications, enhancing her expertise in energy conversion systems and preparing her for a career dedicated to innovative energy solutions.

Awards and Honors 🏆🌍

Yattou El Fadili has received several accolades during her academic journey, recognizing her contributions to the fields of physics and renewable energy. Notably, she was awarded the best student award during her B.Sc. studies for her outstanding performance and dedication to learning. Additionally, she has been acknowledged for her research efforts at conferences and seminars, where her work on modeling and control of wind turbine energy conversion systems was presented. These achievements reflect her commitment to excellence and innovation in her field.

Research Focus 🔋🌪️

Yattou El Fadili’s research primarily revolves around renewable energy, with a particular emphasis on modeling and controlling wind turbine energy conversion systems. She explores robust stability, Lyapunov stability theory, and uncertain systems to develop effective controller designs and state-feedback control methods. Her work also encompasses the design of rectenna systems for wireless power transmission. By focusing on these critical areas, Yattou aims to contribute to the advancement of sustainable energy solutions and improve the efficiency of wind energy technologies.

Conclusion

Yattou El Fadili possesses a strong foundation and relevant expertise in renewable energy research, particularly in wind energy systems. Her educational background, diverse research interests, and active involvement in the academic community are significant strengths that support her candidacy for the Best Researcher Award. By focusing on increasing her publication output, broadening her research impact, engaging with the community, and fostering interdisciplinary collaborations, Yattou can further enhance her profile and contribution to the field. Recognizing her with the Best Researcher Award would not only honor her achievements but also encourage her continued contributions to renewable energy innovation.

Publication  Top Notes

  • A Novel Combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to Improve the Performance of a Controller in a Wind Power Application
    • Conference: 2024 International Conference on Circuit, Systems and Communication (ICCSC 2024)
    • Year: 2024
    • Type: Conference Paper
    • DOI: 10.1109/ICCSC62074.2024.10616435
    • EID: 2-s2.0-85201288677
    • ISBN: 9798350365306
    • Contributors: Yattou El Fadili, B. Youssef, B. Ismail
  • An Advanced Control Law Combining Sliding Mode and Fractional Calculus for Wind Energy Conversion Systems
    • Source: Lecture Notes in Networks and Systems
    • Year: 2024
    • Type: Book Chapter
    • DOI: 10.1007/978-3-031-68675-7_42
    • ISBN: 9783031686740, 9783031686757
    • ISSN: 2367-3370, 2367-3389
    • Contributors: Yattou El Fadili, B. Youssef, I. Boumhidi
  • Improved Sliding Mode Control Law for Wind Power Systems
    • Journal: International Journal of Dynamics and Control
    • Year: 2024
    • Type: Journal Article
    • DOI: 10.1007/s40435-024-01431-6
    • EID: 2-s2.0-85192023828
    • ISSN: 21952698, 2195268X
    • Contributors: Yattou El Fadili, Y. Berrada, I. Boumhidi
  • Novel Control Strategy for the Global Model of Wind Turbine
    • Journal: International Journal of Electrical and Computer Engineering
    • Year: 2024
    • Type: Journal Article
    • DOI: 10.11591/ijece.v14i1.pp258-267
    • EID: 2-s2.0-85183675868
    • ISSN: 20888708
    • Contributors: Yattou El Fadili, Y. Berrada, I. Boumhidi
  • Robust State‐Feedback Controller of Uncertain Systems Based on Non‐Monotonic Approach
    • Journal: International Journal of Adaptive Control and Signal Processing
    • Year: 2024-10-10
    • Type: Journal Article
    • DOI: 10.1002/acs.3922
    • Contributors: Yattou El Fadili, B. Boukili, M. N’Diaye, I. Boumhidi
  • Optimal Controller Design for Wind Turbine Using Sliding Sector and Genetic Algorithms
    • Source: E3S Web of Conferences
    • Year: 2023
    • Type: Conference Paper
    • DOI: 10.1051/e3sconf/202346900006
    • EID: 2-s2.0-85182939081
    • ISSN: 22671242, 25550403
    • Contributors: Yattou El Fadili, Y. Berrada, I. Boumhidi
  • Robust H∞ Performance of Uncertain System Based on Lyapunov Functions Using Non-Monotonic Terms
    • Conference: 2022 10th International Conference on Systems and Control (ICSC 2022)
    • Year: 2022
    • Type: Conference Paper
    • DOI: 10.1109/ICSC57768.2022.9993850
    • EID: 2-s2.0-85146487981
    • ISBN: 9781665465076
    • Contributors: Yattou El Fadili, A. Hmamed, B. Boukili, I. Boumhidi

Kai Zhang | Fintech | Best Researcher Award

Posted on by ScienceFather

Mr. Kai Zhang | Fintech | Best Researcher Award

Chief Researcher at Eastmoney AI Research Institute, China

👤 Chief Researcher at Artificial Intelligence Research Institute, Head of Oriental Wealth Algorithm Department, and Senior Researcher in Data Intelligence. With over 10 years of experience, they specialize in AI, leading teams to build platforms that deliver text, image, and speech recognition solutions. They have created financial risk control systems, personalized recommendation engines, and secure data circulation platforms like “Safehouse.” A key contributor to AI and cloud computing projects, they have received the prestigious First Prize in Science and Technology (2019). This expert actively participates in drafting AI and data security standards.

Publication Profile

orcid

Education🎓 

B.Sc. in Computer Science from a top-tier university, with a specialization in AI and Fintech applications. Completed M.Sc. in Artificial Intelligence with a focus on machine learning, data security, and neural networks  Received National Artificial Intelligence Trainer Secondary Technician certification, advancing their understanding of AI technologies. Pursued various industry-recognized certifications and training in data security, AI ethics, and fintech, enhancing practical knowledge and expertise in AI applications for the financial sector.

Experience💼 

Chief Researcher at Artificial Intelligence Research Institute, overseeing AI innovations and data intelligence for over a decade Head of the Oriental Wealth Algorithm Department, delivering cutting-edge financial AI products and personalized recommendation engines. Participated in Ministry of Science and Technology cloud computing projects, contributing to secure data circulation platforms like “Safehouse” and driving key AI initiatives. Actively involved in drafting and writing national AI and data security standards, impacting policy and technology regulations across industries.

Awards and Honors🏆

First Prize in Science and Technology (2019) for contributions to cloud computing and data security projects like “Safehouse.” Recognized as a Shanghai Software Development Skills Talent, a prestigious title in AI and software innovation. Appointed Vice Chairman of the Financial Intelligence Committee, influencing fintech advancements in AI-driven finance. Acknowledged as a National Artificial Intelligence Trainer Secondary Technician, training the next generation of AI professionals.

Research Focus📚

Specializes in Artificial Intelligence and Fintech, building intelligent customer service, financial risk control, and public opinion analysis platforms. Focused on Intelligent Manufacturing through AI-driven automation and data intelligence for industrial applications. Expertise in Big Data Mining, developing innovative solutions for data security, including sandbox environments and secure data circulation platforms.  Published multiple papers in Agile Project Management in Big Data and AI applications, shaping the future of AI technology in both finance and manufacturing sectors.

Conclusion

Based on the candidate’s impressive track record, technical contributions, and leadership in artificial intelligence and financial technology, they are highly suitable for the Best Researcher Award. Their work, which spans key AI advancements and national standards, positions them as an influential figure in the AI community, capable of driving future innovation and setting new benchmarks in research excellence.

Publication  Top Notes

A New Era of Financial Services: How AI Enhances Investment Efficiency
Published: 2024-10-03 in International Studies of Economics
DOI: 10.1002/ise3.97
Contributors: Zhiyi Liu, Kai Zhang, Hongyi Zhang
This article explores the integration of artificial intelligence into financial services, highlighting improvements in investment efficiency through AI technologies.