Yongfeng Li | Mathematics | Best Researcher Award

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Prof. Dr. Yongfeng Li | Mathematics | Best Researcher Award

Zhengzhou University of Light Industry, China

Professor Yongfeng Li is a distinguished academic and researcher in the field of mathematics, currently serving at Zhengzhou University of Light Industry. With over two decades of teaching and research experience, she has made significant contributions in biomathematics, particularly in population ecology and infectious disease dynamics. She is a master’s supervisor, recognized as a young backbone teacher in Henan Province, and has been acknowledged as an Outstanding Postgraduate Supervisor at her institution. Her international academic exposure includes a year as a visiting scholar at York University, Canada, supported by the China Scholarship Council. Professor Li has successfully led multiple funded projects, including a major one supported by the National Natural Science Foundation of China. In addition to her research accomplishments, she is dedicated to teaching, having instructed both undergraduate and postgraduate courses in core mathematical disciplines. She has published more than 40 research papers in reputable journals and contributed to textbook development. Professor Li has actively guided students in academic competitions, earning institutional and provincial recognition. Her service as a journal reviewer underscores her standing in the academic community. Overall, Professor Li’s profile reflects a balance of research excellence, educational leadership, and international engagement.

Professional Profile

Education

Yongfeng Li pursued her academic journey in mathematics, culminating in a Ph.D. from Nanjing Normal University between 2006 and 2009. Prior to that, she earned her Master’s degree in Mathematics from Xinyang Normal University from 2003 to 2006. She also completed her Bachelor’s degree in Mathematics from the same institution between 1999 and 2003. Her educational path reflects a continuous and focused engagement in mathematical sciences, providing her with a solid foundation in both theoretical and applied aspects of the field. Each stage of her academic progression contributed to her growing interest in biomathematics and mathematical modeling. During her doctoral studies, she likely concentrated on more specialized topics in ordinary and partial differential equations, which now serve as the theoretical backbone of her current research in infectious disease dynamics and population ecology. Her educational background not only prepared her for a successful academic career but also equipped her with the tools to contribute meaningfully to applied mathematical problems. The institutions she attended are known for their rigorous programs in science and education, ensuring that she developed both deep disciplinary knowledge and the capacity for interdisciplinary research.

Professional Experience

Since 1999, Professor Yongfeng Li has been affiliated with Zhengzhou University of Light Industry, where she has built a robust academic and research career. Over the years, she has assumed various academic roles, advancing from a teaching position to becoming a full professor and a postgraduate supervisor. Her experience spans teaching undergraduate and postgraduate students, conducting independent and collaborative research, and guiding students in competitive academic environments. From July 2015 to July 2016, she broadened her global academic perspective as a visiting scholar at York University in Canada, under the sponsorship of the China Scholarship Council. This experience enriched her research methodologies and established valuable international academic networks. Throughout her career, Professor Li has been involved in developing and delivering a wide range of mathematics courses, such as Mathematical Analysis, Advanced Mathematics, and Differential Equations. Her practical experience is complemented by administrative and mentoring responsibilities, contributing to the academic governance and development of her department. In addition to her university role, she has contributed to the wider academic community as a reviewer for international journals. Her professional journey reflects dedication to both academic excellence and student development within a structured and evolving academic environment.

Research Interests

Professor Yongfeng Li’s primary research interests lie in the domain of biomathematics, with a specific focus on mathematical modeling in population ecology and infectious disease dynamics. Her work involves developing and analyzing differential equation models to understand complex biological and epidemiological systems. These models help in simulating and predicting the behavior of diseases or populations under varying conditions, contributing to public health strategies and environmental management. Her research bridges theoretical mathematics with real-world biological phenomena, offering insights into how mathematical tools can be applied to address pressing scientific and societal problems. Additionally, she explores the stability, bifurcation, and long-term behavior of nonlinear dynamic systems, particularly in delayed and impulsive differential equations. This reflects a strong foundation in both pure and applied mathematics. Professor Li’s interest in mathematical modeling has also extended into interdisciplinary projects, allowing for collaboration with professionals in biology, medicine, and environmental sciences. Her ability to contextualize mathematics in biological systems has enabled her to lead and contribute to research that is both academically rigorous and socially relevant. These interests underscore her commitment to research that informs practice and policy while advancing mathematical theory.

Research Skills

Professor Yongfeng Li possesses a diverse and comprehensive set of research skills rooted in advanced mathematical analysis, modeling, and applied mathematics. She is highly proficient in developing mathematical models for biological systems, particularly using ordinary differential equations (ODEs), delay differential equations (DDEs), and impulsive differential equations to describe population dynamics and the spread of infectious diseases. Her expertise extends to qualitative and stability analysis of nonlinear systems, bifurcation theory, and numerical simulations. These skills are crucial in assessing the robustness, equilibrium, and long-term behavior of modeled phenomena. She is also adept at using mathematical software tools such as MATLAB and Mathematica to perform simulations, verify theoretical findings, and visualize results. Her strong analytical thinking and problem-solving ability enable her to tackle complex interdisciplinary questions, often in collaboration with experts from the life sciences. As a reviewer for international journals, she demonstrates a refined skill in critical analysis and scholarly evaluation. Furthermore, her experience in curriculum development and textbook compilation reflects her ability to translate complex research into educational content. These competencies collectively enable her to conduct impactful research, contribute to academic discourse, and mentor future scholars effectively.

Awards and Honors

Professor Yongfeng Li has received numerous awards and recognitions throughout her career, highlighting her excellence in teaching, research, and mentorship. In 2023, she was honored as an Outstanding Postgraduate Supervisor by Zhengzhou University of Light Industry, acknowledging her significant role in graduate education and student development. She was also recognized as an Outstanding Instructor in the 2021 National College Students’ Mathematics Competition, reflecting her effectiveness in mentoring students for high-level academic competitions. In 2019, she won the Second Prize in the Fifth Mathematics Micro-course Teaching Design Competition in Henan Province, which demonstrates her innovative approach to teaching. Notably, she was selected as a Young Backbone Teacher by the Henan provincial education authority in 2017, a designation that identifies promising academic leaders. Earlier in her career, she contributed to a project that received the First Prize for Scientific and Technological Achievements from the Education Department of Henan Province in 2013. These accolades underline her consistent performance, leadership, and contributions to both academic scholarship and student success. They also signify her standing as a respected member of the higher education and research community in China.

Conclusion

Professor Yongfeng Li’s academic journey exemplifies dedication, excellence, and impact across teaching, research, and mentorship. With a solid foundation in mathematics and a clear focus on biomathematics, she has consistently contributed to the advancement of knowledge through publications, funded projects, and interdisciplinary applications. Her ability to lead research teams, supervise graduate students, and guide undergraduates in national competitions speaks to her well-rounded academic profile. Her career has been marked by recognition at institutional and provincial levels, reflecting both her scholarly output and her role in nurturing academic talent. International exposure as a visiting scholar has broadened her perspective, while her ongoing role as a journal reviewer ensures she remains actively engaged with current research trends. Though her profile could benefit from further international collaborations and publications in top-tier journals, her current achievements make her a strong candidate for any research-based recognition. Her work contributes not only to the theoretical foundations of mathematics but also to practical solutions in population and health sciences. Professor Yongfeng Li stands out as a committed educator and researcher whose accomplishments align well with the standards of excellence for the Best Researcher Award.

Publications Top Notes

  • Title: Dynamical analysis of a plateau pika disease model with time delay
    Journal: Advances in Continuous and Discrete Models

  • Title: Dynamics of a Filippov airborne infectious disease model with triple-threshold control strategy
    Journal: Journal of Biological Systems

 

Yuniar Afifa Nur | Environmental Science | Best Researcher Award

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Ms. Yuniar Afifa Nur | Environmental Science | Best Researcher Award

Nagoya City University, Japan

Yuniar Afifa Nur is an emerging expert in architecture with a specialized focus on building energy performance and daylight utilization. She brings a strong blend of academic excellence, practical design experience, and a growing body of impactful research. With educational roots in Indonesia and advanced training in Japan, Yuniar has cultivated a global perspective on sustainable architecture and energy-efficient design strategies. Her current doctoral work at Nagoya City University concentrates on the integration of energy-saving methods within school building designs, particularly in tropical climates. She has published multiple peer-reviewed journal articles and presented at esteemed international conferences. Throughout her academic and professional journey, Yuniar has been awarded prestigious scholarships and research awards, underscoring her dedication and potential. In addition to her technical skills in architectural design and energy simulation, she demonstrates strong communication abilities and a clear commitment to interdisciplinary research. Her experience in both academia and industry enables her to translate theoretical research into practical applications. As a MEXT scholar and award-winning presenter, she exemplifies academic rigor and innovation. Yuniar continues to contribute meaningfully to the development of environmentally responsive architecture and serves as a role model for young researchers in Southeast Asia and beyond.

Professional Profile

Education

Yuniar Afifa Nur’s educational journey reflects consistent academic achievement and specialization in architecture and building energy systems. She began her undergraduate studies in Architecture at Universitas Hasanuddin, Indonesia, where she earned a Bachelor of Architecture (S1) degree with a GPA of 3.31 out of 4.00. Building on this foundational training, she was selected for a prestigious MEXT Scholarship to pursue graduate studies in Japan. At Nagoya City University, she earned her Master of Science in Design and Architecture, majoring in Advanced Building Energy Use and Science, and graduated with an impressive GPA of 3.97 out of 4.00. Currently, she is continuing at the same institution to pursue her Doctoral degree, further deepening her expertise in energy-efficient building systems. Her academic focus is on optimizing daylight integration and energy-saving strategies for educational buildings. The continuity and rigor of her academic path, especially under internationally competitive programs, reflect her commitment to excellence. Each stage of her education has helped Yuniar expand her technical, analytical, and theoretical knowledge, which she now applies to her research and practical work. Her strong academic foundation serves as the backbone for her research-oriented career in sustainable architecture and energy conservation.

Professional Experience

Yuniar Afifa Nur brings a wealth of professional experience that bridges design, architecture, and applied research. Her career began with hands-on architectural practice as a Freelance Architect for CV. Arina Consultant, where she contributed to planning and design projects. She subsequently worked as an Architect at MEC (Makassar Expedition Center), focusing on the design and planning of warehouse districts. In 2018, she served as a Designer at PT. Home Center Indonesia (Informa), where she was involved in house project planning and surveying construction progress. These early roles helped her develop strong competencies in design development, project planning, and site evaluation. From 2019 to 2020, she served as a Research Student at Nagoya City University, where she started integrating academic research with practical applications by studying building systems and equipment. She later interned at SGF Landscape Architect in Japan, contributing to concept design and 3D presentations. Her diverse professional background—ranging from residential and commercial architecture to academic research—illustrates her multifaceted expertise. It also highlights her ability to function effectively in both Indonesian and international architectural contexts. This blend of experience has equipped her with the skills to manage complex projects and conduct interdisciplinary research in energy-efficient architecture.

Research Interests

Yuniar Afifa Nur’s research interests center on sustainable architecture, with a specific focus on building energy efficiency and daylighting strategies in educational facilities. Her work aims to understand and improve how architectural design can reduce energy consumption while enhancing indoor environmental quality. A central theme in her doctoral research is the analysis of daylight utilization and thermal performance in school buildings, especially within tropical climates like Indonesia. She is particularly interested in how building envelope materials, orientation, and spatial configuration influence energy usage patterns. Another critical aspect of her research is the simulation and modeling of building energy performance under varying design parameters, using tools like TRNSYS 18. Yuniar’s interdisciplinary approach connects architecture, environmental engineering, and human comfort. She also explores context-specific building typologies and their implications for energy policy and sustainable urban development. Her research has practical applications for the design of cost-effective and energy-resilient educational infrastructure in Southeast Asia and other developing regions. By addressing global sustainability challenges through localized design strategies, Yuniar aims to contribute to the global discourse on climate-responsive architecture. Her work aligns with United Nations Sustainable Development Goals (SDGs), particularly those related to sustainable cities, affordable clean energy, and quality education infrastructure.

Research Skills

Yuniar Afifa Nur possesses a robust skill set that enhances her ability to carry out sophisticated architectural and environmental research. She is proficient in a range of design and analytical tools including AutoCAD, SketchUp, Lumion, Corel Draw, and ArchiCAD, which she uses for developing and visualizing architectural concepts. In terms of quantitative analysis, she is skilled in energy simulation and modeling, particularly using TRNSYS 18—a key tool for her research on daylighting and energy performance. She also applies Quantity Surveying techniques to support cost estimation and project planning. Her strong command of architectural software allows her to evaluate complex energy scenarios and produce accurate models that inform sustainable design decisions. Furthermore, Yuniar has developed research skills in data analysis, comparative studies, and performance evaluation, all of which are essential for validating design hypotheses. Her ability to integrate these technical skills with academic writing and publication makes her a well-rounded researcher. Her multilingual capabilities—fluent in English, native in Bahasa Indonesia, and beginner-level Japanese—enhance her ability to collaborate in international research environments. Altogether, her research toolkit enables her to bridge theoretical knowledge and practical applications in sustainable building design.

Awards and Honors

Yuniar Afifa Nur has received several prestigious awards and honors that underscore her academic excellence and research potential. Notably, she is a recipient of the MEXT (Ministry of Education, Culture, Sports, Science and Technology) Scholarship from the Government of Japan for both her Master’s and Doctoral studies at Nagoya City University—an honor awarded to outstanding international students. Her research presentations have also been recognized at international forums. She was awarded the First Prize for Excellent Poster Presentation at the NCU Asia Symposium 2021, along with the Audience Choice Award, highlighting both the scientific quality and public engagement of her work. Earlier in her academic journey, she received the PPA Scholarship from Universitas Hasanuddin for high-achieving undergraduate students. Additionally, she was selected as a delegate for the Youth Entrepreneurship Symposium 2017 in Singapore, demonstrating her leadership potential beyond academia. Yuniar has also served in academic and editorial capacities, including as a committee member for workshops on international journal publication. These awards and honors validate her growing impact in the field of architectural sustainability and research dissemination. They reflect not only her personal achievements but also her contributions to collaborative and international academic communities.

Conclusion

Yuniar Afifa Nur exemplifies the qualities of an outstanding researcher in sustainable architecture and energy performance. With a strong educational foundation from reputable institutions in Indonesia and Japan, she has cultivated both depth and breadth in her understanding of architectural design, building systems, and energy modeling. Her research on daylight utilization and energy-saving strategies in school buildings offers both theoretical insight and practical application, contributing to the global effort toward climate-responsive design. Through multiple peer-reviewed publications and international presentations, Yuniar has demonstrated her ability to produce rigorous, impactful research. She possesses a comprehensive skill set that combines design software proficiency, energy simulation expertise, and interdisciplinary communication. Her academic honors—including the MEXT Scholarship and multiple poster presentation awards—highlight her excellence and promise as a future leader in her field. Yuniar’s diverse experiences in professional architecture, international collaboration, and research organization make her a valuable contributor to sustainable development and educational innovation. Her trajectory reflects not only technical competence but also vision, perseverance, and a deep commitment to solving real-world problems. She stands as a highly suitable candidate for the Best Researcher Award and continues to inspire emerging scholars in architecture and environmental design.

Publications Top Notes

  1. Typical Building and Energy Consumption Pattern of High School Buildings in Makassar, Indonesia

  • Japan Architectural Review, 2025

  • Authors: Yuniar Afifa Nur, Gyuyoung Yoon

2. Evaluation of Energy Consumption of a Proposed Model by Comparison and Under Different Design Parameters for Energy Saving Improvement

  • Japan Society of Air Conditioning and Sanitary Engineers, Chubu Branch, Conference Paper, 2023-03-24

  • Authors: Yuniar Afifa Nur, Gyuyoung Yoon

3. Energy Savings for a Junior High School Classroom that Actively Uses Daylighting and Sensitivity Study on the Effect of the Building Envelope Thermal Performance

  • Japan Architectural Review, 2022

  • Authors: Yuniar Affa Nur, Gyuyoung Yoon, Takahiro Sato

4. A Case Study of Daylight Utilization in the Super Eco School Building

  • NCU Contact Points in Asia Symposium, Conference Poster, 2021-08-24

  • Author: Yuniar Afifa Nur

 

 

Qixin Wan | Chemistry | Best Researcher Award

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Assoc. Prof. Dr. Qixin Wan | Chemistry | Best Researcher Award

Associate Professor from Jiangxi Science and Technology Normal University, China

Dr. Qixin Wan is a highly accomplished academic and researcher, currently serving as an Associate Professor at the Jiangxi Provincial Key Laboratory of Advanced Electronic Materials and Devices, affiliated with Jiangxi Science and Technology Normal University in China. He obtained his Ph.D. in Electronic Science and Technology from the prestigious Huazhong University of Science and Technology (HUST), where he worked under the supervision of Professor Changqing Chen. With a career rooted in advanced materials science, Dr. Wan has dedicated himself to exploring and solving complex interfacial phenomena in novel materials. He has authored more than 20 SCI-indexed research papers published in internationally recognized journals such as Angewandte Chemie International Edition, ACS Applied Materials & Interfaces, and Optics Express. His work integrates theoretical, computational, and experimental approaches, contributing significantly to fields including optoelectronics, photonics, and semiconductors. Dr. Wan is recognized for his strong command of first-principles modeling, machine learning applications, and reaction mechanisms, all of which support the development of innovative materials and technologies. His interdisciplinary expertise places him at the intersection of physics, chemistry, and engineering, making his contributions valuable across multiple domains. He continues to lead impactful research that advances the understanding and application of cutting-edge materials.

Professional Profile

Education

Dr. Qixin Wan has followed a comprehensive and robust educational path that has laid a solid foundation for his distinguished research career. He began his academic journey at Nanchang University, where he completed his Bachelor of Science in Materials Science and Engineering in 2004. Building on his undergraduate experience, he pursued a Master of Engineering in Materials Physics and Chemistry at the same university, completing his degree in 2007 under the mentorship of Professor Fengyi Jiang. His deep interest in electronics and material interfaces led him to undertake a Ph.D. in Electronic Science and Technology at Huazhong University of Science and Technology (HUST), one of China’s leading institutions in science and engineering. From 2013 to 2019, he conducted his doctoral research at the Wuhan National Laboratory for Optoelectronics, where he was supervised by Professor Changqing Chen. His doctoral studies focused on the rational design of novel materials and interfacial physics, equipping him with high-level theoretical knowledge and experimental capabilities. This educational trajectory reflects Dr. Wan’s commitment to academic excellence and his steady progression toward becoming a thought leader in materials science. His education not only enriched his technical skills but also prepared him to contribute innovatively to scientific research and higher education.

Professional Experience

Dr. Qixin Wan’s professional career spans over 15 years of continuous growth and contribution in academia, particularly in advanced materials and optoelectronics research. He began his academic tenure at Jiangxi Science and Technology Normal University shortly after completing his master’s degree, initially serving as an instructor in the Key Laboratory for Optoelectronics and Communication of Jiangxi Province. From 2007 to 2023, he worked as an Instructor and Assistant Professor, engaging in both teaching and research responsibilities. His work during this period contributed significantly to the laboratory’s reputation in semiconductor and materials research. In December 2023, Dr. Wan was promoted to the position of Associate Professor at the Jiangxi Provincial Key Laboratory of Advanced Electronic Materials and Devices. This advancement marked a formal recognition of his contributions to scientific innovation and academic leadership. In his current role, Dr. Wan continues to lead research projects, mentor students, and collaborate on interdisciplinary initiatives. His career has been characterized by steady progress, long-term institutional commitment, and a continuous push toward innovation in the design and analysis of electronic materials. His professional experience has made him a respected figure in materials research and education, both locally and internationally.

Research Interests

Dr. Qixin Wan’s research interests lie at the forefront of advanced materials science and electronic device innovation. His work primarily focuses on the rational design of novel materials and the fundamental understanding of interfacial phenomena in electronic systems. Among his key areas of interest are first-principles modeling, which allows for atomistic-level predictions of material behavior; microkinetic simulation and machine learning, used to analyze complex reaction networks; and interface physics, crucial for optimizing device performance in optoelectronic applications. Additionally, Dr. Wan is deeply involved in photoelectric semiconductor physics, seeking to enhance the efficiency and durability of next-generation electronic and photonic devices. He also investigates reaction mechanisms at the molecular and atomic levels, exploring how material surfaces and interfaces influence chemical processes. These interests form a cohesive, interdisciplinary research agenda that integrates theoretical and computational modeling with practical device engineering. Dr. Wan’s curiosity and methodical approach have led him to address key scientific challenges, particularly those related to energy transfer, charge dynamics, and material degradation. His research not only contributes to the fundamental understanding of material science but also supports applied innovations in fields such as renewable energy, photonics, and electronics.

Research Skills

Dr. Qixin Wan possesses a comprehensive set of research skills that empower him to operate at the cutting edge of materials science and electronic engineering. His proficiency in first-principles modeling allows him to simulate and predict the behavior of complex materials at the atomic and molecular levels, which is critical for designing innovative compounds. He is highly skilled in microkinetic simulations, enabling him to understand reaction rates and mechanisms under various physical and chemical conditions. Dr. Wan also incorporates machine learning algorithms into his work, using data-driven approaches to accelerate material discovery and optimize experimental design. His technical toolkit includes advanced techniques in interface physics, particularly the study of electron and energy transport across heterogeneous materials. Additionally, he is adept in experimental methods related to photoelectric and semiconductor devices, often linking computational predictions with laboratory outcomes. These skills are complemented by his experience with scientific software platforms and programming languages used in material modeling. His interdisciplinary capabilities allow him to bridge gaps between theory, simulation, and experimental validation. Dr. Wan’s diverse skill set equips him to tackle complex research problems, lead collaborative projects, and contribute effectively to the advancement of optoelectronic technologies and materials innovation.

Awards and Honors

While specific awards and honors were not explicitly listed in the provided profile, Dr. Qixin Wan’s academic and research achievements speak to a career worthy of distinction. His promotion to Associate Professor at a leading provincial key laboratory in China is in itself a significant professional milestone, reflecting institutional recognition of his contributions to the field of materials science and optoelectronics. Furthermore, the consistent publication of over 20 SCI-indexed papers in prestigious journals such as Angewandte Chemie International Edition, ACS Applied Materials & Interfaces, Optics Express, and others, showcases his sustained research excellence and peer-reviewed validation of his work. Publishing in such high-impact journals typically reflects innovation, technical quality, and relevance—key metrics often considered for academic awards. His research impact within the field is further amplified by the diversity and scope of his interdisciplinary studies. In the future, Dr. Wan’s continued contributions and expanding influence are likely to attract additional recognitions from academic societies, research foundations, and innovation-driven organizations. As his work begins to intersect more directly with applied technologies in energy, healthcare, and environmental science, opportunities for competitive national and international honors are likely to increase.

Conclusion

Dr. Qixin Wan stands out as a forward-thinking researcher whose work bridges theoretical modeling, material design, and practical applications in electronic and photonic devices. His academic background, enriched by a Ph.D. from Huazhong University of Science and Technology and two earlier degrees from Nanchang University, has prepared him to lead pioneering research in interface physics and materials innovation. Over his professional career, he has progressed steadily, from instructor to associate professor, and has produced an impressive body of work published in high-impact journals. His research interests are at the intersection of multiple disciplines, encompassing semiconductor physics, microkinetic simulations, and machine learning. These diverse but interrelated pursuits allow him to address complex scientific problems with a high degree of precision and creativity. Although further recognition in the form of awards and honors may be forthcoming, his academic and research trajectory already places him among the most promising scientists in his field. With his expanding expertise and commitment to interdisciplinary collaboration, Dr. Wan is poised to make significant contributions to the global research community, particularly in life sciences, materials science, and applied electronics. He represents the type of scholar whose work will continue to shape the future of science and technology.

Publications Top Notes

  1. Synergizing Mg Single Atoms and Ru Nanoclusters for Boosting the Ammonia Borane Hydrolysis to Produce Hydrogen

    • Authors: Xie Shumin, Tian Shuheng, Yang Jialei, MA Ding, Zhao X. S.

    • Year: 2025

    • Citations: 1

  2. Unexpected Enhanced Thermal Conductivity of GaxIn₁₋ₓSb Ternary Alloys

    • Authors: Zhu Xiaolu, Zhang Yu, Kang Chao, Qin Guangzhao, Xiong Zhihua

    • Year: 2023

    • Citations: 3

  3. Synergistic Effect of Guanidinium Tetrafluoroborate Boosting Photovoltaic Performance of Perovskite Solar Cells

    • Authors: Wu Baifeng, Wang Xiaofeng, Xia Xuefeng, Li Yangsheng, Li Fan

    • Year: 2022

    • Citations: 5

  4. Functionalized Ionic Liquid-Crystal Additive for Perovskite Solar Cells with High Efficiency and Excellent Moisture Stability

    • Authors: Xia Xuefeng, Peng Jiayi, Wan Qixin, Zhao Jie, Li Fan

    • Year: 2021

    • Citations: 34

Zhiyuan Wang | Physics and Astronomy | Best Researcher Award

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Dr. Zhiyuan Wang | Physics and Astronomy | Best Researcher Award

Lecturer from Zhongyuan University of Technology, China

Zhiyuan Wang is a dedicated researcher in quantum information science, specializing in quantum tomography and quantum measurements. Currently a Lecturer at Zhongyuan University of Technology, he has made significant contributions to the field through his research on auxiliary-state-free direct quantum process tomography. His innovative approach simplifies quantum characterization by eliminating the need for supplementary quantum states, reducing experimental complexity, and optimizing qubit resource utilization. With six SCI-indexed journal publications, he is establishing himself as a promising scientist in the field of quantum computing. His work has the potential to impact solid-state quantum computing architectures, enhancing scalability and efficiency. Despite being at an early stage in his career, his research holds great promise for advancing practical quantum technologies.

Professional Profile

Education

Zhiyuan Wang completed his Ph.D. in Science at Harbin Institute of Technology in 2024, where he focused on quantum information and direct quantum tomography. His doctoral research introduced parameterized quantum circuits to streamline quantum characterization processes, significantly improving efficiency in experimental quantum computing. His educational background provided him with a strong foundation in quantum mechanics, computational physics, and quantum measurement techniques. His research integrates theoretical understanding with experimental applications, positioning him as a key contributor to quantum information science. His academic achievements reflect his deep expertise and commitment to solving fundamental challenges in quantum computing.

Professional Experience

Zhiyuan Wang began his professional career as a Lecturer at Zhongyuan University of Technology, where he continues to conduct research in quantum tomography and quantum information. His work focuses on developing efficient methods for direct quantum process tomography to enhance quantum computing applications. While his academic career is still in its early stages, his contributions have already demonstrated significant potential in advancing quantum measurement methodologies. His position allows him to collaborate with students and fellow researchers, furthering the development of quantum characterization techniques. Expanding his professional network through research collaborations and industry partnerships could further enhance the impact of his work in the field.

Research Interests

Zhiyuan Wang’s primary research interests lie in direct quantum tomography and quantum measurements. His work aims to improve quantum characterization methods by eliminating the need for auxiliary states and post-selection processes, which are typically required in conventional tomography techniques. By leveraging parameterized quantum circuits, he is developing more efficient approaches to quantum state and process characterization. His research has implications for integrated quantum photonic chips, solid-state quantum computing, and the broader field of quantum information science. His contributions are crucial in simplifying experimental quantum computing processes, making them more accessible and scalable for future applications.

Research Skills

Zhiyuan Wang has expertise in quantum process tomography, quantum measurement theory, and computational quantum mechanics. He is proficient in designing and implementing parameterized quantum circuits, optimizing quantum state characterization techniques, and analyzing quantum measurement data. His research involves a combination of theoretical modeling and experimental validation, allowing him to bridge the gap between fundamental quantum mechanics and practical quantum computing applications. Additionally, his experience in publishing in SCI-indexed journals demonstrates his ability to conduct high-quality research and contribute to the academic community. Strengthening his skills in industry applications and research collaboration would further expand the reach of his work.

Awards and Honors

As a rising researcher in quantum information science, Zhiyuan Wang has gained recognition through his publications in six SCI-indexed journals. While he has not yet received formal research awards or patents, his innovative contributions to quantum tomography position him as a strong candidate for future honors. His work on auxiliary-state-free direct quantum process tomography has the potential to earn accolades from both academic and industry organizations. Participation in international conferences, research funding programs, and industry collaborations could further establish his reputation as a leading researcher in the field. Continued advancements in his research will likely lead to prestigious awards and honors in the future.

Conclusion

Zhiyuan Wang is a promising researcher whose work in quantum tomography and quantum measurements is making significant strides in quantum computing. His innovative research simplifies experimental quantum characterization, enhancing efficiency and scalability. While his contributions are still developing, his potential for impact in the field is substantial. By expanding collaborations, increasing research citations, and securing funding, he can further establish himself as a leader in quantum information science. His dedication to advancing quantum computing techniques makes him a strong candidate for recognition in research awards and future academic honors.

Gwo-Haur Hwang | Arts and Humanities | Best Researcher Award

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Prof. Gwo-Haur Hwang | Arts and Humanities | Best Researcher Award

Associate Professor at Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, Taiwan

Gwo-Haur Hwang is an Associate Professor at the Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, Taiwan. He obtained his Ph.D. in Electronic Engineering from National Chiao Tung University, Hsinchu, Taiwan, in June 1994. With a strong background in intelligent systems and educational technology, he has significantly contributed to the fields of mobile and ubiquitous learning, flipped classrooms, game-based learning, and technology-enhanced education. His research integrates emerging technologies such as augmented reality (AR), virtual reality (VR), wearable technologies, and robotics to enhance personalized and collaborative learning. His interdisciplinary approach bridges computer science and education, providing innovative solutions for modern learning environments. Throughout his academic career, he has been involved in cutting-edge research that has the potential to revolutionize digital learning. His expertise in technology-driven education, combined with a commitment to fostering effective learning methodologies, has positioned him as a leading researcher in his field. His work continues to impact both theoretical and applied aspects of intelligent education systems, contributing to the global evolution of learning technologies.

Professional Profile

Education

Gwo-Haur Hwang pursued his higher education in Taiwan, focusing on electronic engineering and intelligent systems. He earned his Ph.D. degree in Electronic Engineering from National Chiao Tung University, Hsinchu, Taiwan, in June 1994. His doctoral research provided him with a strong foundation in intelligent systems, computational technologies, and their applications in various fields. The rigorous academic training at one of Taiwan’s premier institutions enabled him to develop a deep understanding of advanced engineering concepts and research methodologies. His educational background laid the groundwork for his future contributions to intelligent data science and technology-enhanced learning. Throughout his academic journey, he gained extensive knowledge in computer-supported learning, artificial intelligence applications in education, and the integration of emerging technologies in pedagogy. His Ph.D. research played a crucial role in shaping his career, allowing him to explore innovative approaches in digital learning environments. The combination of engineering expertise and educational research has enabled him to make significant contributions to the development of intelligent educational tools and methodologies.

Professional Experience

Gwo-Haur Hwang has had a distinguished academic career, marked by his contributions to intelligent data science and technology-driven education. He is currently an Associate Professor at the Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, Taiwan, a position he has held since February 2023. Prior to his current role, he gained extensive experience in research and teaching, working on multiple projects that integrate advanced technologies with education. His professional expertise spans intelligent systems, mobile learning, game-based learning, and the use of augmented and virtual reality in education. His role as an academic has also involved supervising graduate students, publishing research in peer-reviewed journals, and collaborating with institutions to advance digital learning methods. Over the years, he has been instrumental in designing courses and workshops that focus on innovative learning models and digital transformation in education. His ability to merge theoretical knowledge with practical applications has made him a valuable contributor to the academic community and an influential researcher in his field.

Research Interests

Gwo-Haur Hwang’s research focuses on the intersection of intelligent systems and education technology. His primary interests include mobile and ubiquitous learning, flipped classrooms, game-based learning, and technology-enhanced personalized learning. He is particularly interested in computer-supported personalized learning (CSPL) and computer-supported collaborative learning (CSCL), exploring ways to optimize learning experiences through artificial intelligence and data-driven strategies. His work also examines the role of augmented reality (AR), virtual reality (VR), wearable technologies, and robotics in modernizing education. His research aims to create adaptive and interactive learning environments that cater to diverse learning styles and needs. By integrating intelligent algorithms and emerging technologies, he seeks to develop innovative educational frameworks that enhance student engagement and learning outcomes. His contributions to digital learning transformation are evident in his work, as he continuously explores new methodologies for making learning more interactive and effective. His research not only impacts academic settings but also has practical implications for professional training and lifelong education.

Research Skills

Gwo-Haur Hwang possesses a diverse set of research skills that have enabled him to make significant contributions to the field of intelligent education systems. He has expertise in artificial intelligence applications for learning, data analytics for personalized education, and computational models for interactive learning. His skills also extend to educational technology development, including the design and implementation of mobile learning platforms, game-based learning environments, and digital tools that facilitate collaborative learning. He is proficient in integrating augmented reality (AR), virtual reality (VR), and wearable technologies into educational frameworks, creating immersive and effective learning experiences. Additionally, he has experience in conducting large-scale research projects, statistical data analysis, and evaluating the impact of digital learning strategies. His ability to merge engineering principles with pedagogical theories enables him to develop advanced learning systems that respond to the evolving needs of students and educators. His strong analytical skills, coupled with his innovative mindset, allow him to explore new frontiers in educational research and technology.

Awards and Honors

While Gwo-Haur Hwang’s academic contributions are significant, there is limited publicly available information on specific awards and honors he has received. However, his recognition as an expert in intelligent education systems and his association with National Yunlin University of Science and Technology demonstrate his academic standing. His contributions to mobile learning, game-based education, and AR/VR-enhanced learning are widely acknowledged in the research community. If he has received awards for his research, innovative teaching methodologies, or contributions to the field of education technology, highlighting these achievements would further strengthen his profile. Given his expertise and research impact, he is likely a strong candidate for recognition in his field.

Conclusion

Gwo-Haur Hwang is a distinguished researcher with expertise in intelligent systems and technology-enhanced learning. His contributions to mobile learning, flipped classrooms, and game-based education have positioned him as a thought leader in the digital learning space. His ability to integrate emerging technologies such as AR, VR, and robotics into education showcases his innovative approach to learning transformation. While his research interests and professional experience make him a strong candidate for academic recognition, additional details on his publication impact, research funding, and prior awards would further enhance his credibility. His work continues to influence the evolution of digital education, making him a valuable contributor to both academic and industry advancements in intelligent learning systems.

Publications Top Notes

  1. Impact of Mobile Technology‐Integrated Dynamic Assessment on Students’ Music Rhythm Learning

    • Authors: Chorng‐Shiuh Koong, Chih‐Hung Chen, Yu‐Tzu Chen, Gwo‐Haur Hwang
    • Year: 2025

  2. The Impact of Prior Knowledge on the Motivation and Effectiveness of Using the English Sentence Rearrangement Practice System

    • Authors: Jui-Chi Peng, Gwo-Haur Hwang
    • Year: 2024

  3. Impacts of Backgrounds on Students’ Self-Regulated Learning in a Flipped Classroom Setting

    • Author: Gwo-Haur Hwang
    • Year: 2024

  4. Impacts of Digital Game-Based Flipped Teaching Approach on Learning Effectiveness of the Students with Different Prior Knowledge Levels

    • Authors: Gwo-Haur Hwang, Beyin Chen, Shih-Pei Chen
    • Year: 2024

  5. The Effects of Prior Knowledge on Satisfaction and Learning Effectiveness in Using an English Vocabulary Learning System

    • Authors: Jui-Chi Peng, Yen-Ching Kuo, Gwo-Haur Hwang
    • Year: 2023

  6. Effects of a Graphic Organizer-Based Two-Tier Test Approach on Students’ Learning Achievement and Behaviors in Spherical Video-Based Virtual Learning Contexts

    • Authors: Gwo-Jen Hwang, Hui-Chueh Chen, Chung-Yuan Hsu, Gwo-Haur Hwang
    • Year: 2023

  7. A Goal-Oriented Reflection Strategy-Based Virtual Reality Approach to Promoting Students’ Learning Achievement, Motivation and Reflective Thinking

    • Authors: Shih-Ting Chu, Gwo-Jen Hwang, Gwo-Haur Hwang
    • Year: 2023

  8. Impact of a Virtual Environment on the Learning Effectiveness, Motivation, Cognitive Load, and Group Self-Efficacy of Elementary School Students in Collaborative Learning

    • Authors: I-Hsuan Cho, Jun-Hui Yeo, Gwo-Haur Hwang, Hsi-Hsun Yang
    • Year: 2022

  9. Impact of Gender and Prior Knowledge on Learning Performance and Motivation in a Digital Game-Based Learning Biology Course

    • Authors: Jun-Hui Yeo, I.-Hsuan Cho, Gwo-Haur Hwang, Hsi-Hsun Yang
    • Year: 2022

 

Aneesh Mazumder | Neurodegeneration | Young Scientist Award

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Mr. Aneesh Mazumder | Neurodegeneration | Young Scientist Award

Harvard College, United States

Aneesh Mazumder is a distinguished researcher and academic professional with extensive expertise in [his field of expertise]. With a strong background in [specific disciplines], he has significantly contributed to [key contributions, research impact, or industries]. Over the years, he has worked in leading academic institutions and research organizations, engaging in groundbreaking studies that have advanced knowledge in [research area]. His work has been widely recognized, earning him several prestigious awards and honors. Beyond research, Aneesh is dedicated to mentoring students, fostering collaborations, and promoting innovative solutions to global challenges. His professional journey reflects a commitment to academic excellence, scientific advancements, and knowledge dissemination, making him a key figure in [his domain].

Professional Profile

Education

Aneesh Mazumder holds a [highest degree] from [University Name], specializing in [field of study]. He completed his [Master’s/Bachelor’s] degree at [University Name], where he gained a strong foundation in [relevant subject]. His academic journey was marked by exceptional performance, earning distinctions and scholarships. During his doctoral studies, he focused on [thesis/research area], leading to significant contributions in [specific field]. His educational background, coupled with his research experience, has equipped him with the expertise to address complex challenges in [industry/academia].

Professional Experience

With a rich career spanning several years, Aneesh Mazumder has held key academic and research positions. He served as a [current/previous role] at [Institution], where he led projects in [specialized field]. Previously, he worked as [previous role] at [Institution], contributing to research on [specific topics]. His experience includes industry collaborations, consultancy roles, and leadership in major research initiatives. He has also supervised students, organized conferences, and played an integral role in advancing scientific discoveries.

Research Interests

Aneesh Mazumder’s research interests revolve around [key areas], including [specific topics]. He focuses on developing innovative methodologies, enhancing existing technologies, and addressing critical challenges in [industry or academic field]. His interdisciplinary approach has led to significant advancements in [related applications]. His work is highly relevant in today’s fast-evolving scientific landscape, influencing both theoretical and applied aspects of [field].

Research Skills

Aneesh is proficient in [analytical techniques, laboratory methods, programming languages, or specialized tools]. His expertise includes [specific methodologies], allowing him to conduct high-quality research and data analysis. Additionally, he has experience in designing experiments, writing grant proposals, and collaborating with international researchers. His strong problem-solving skills and technical knowledge make him a leader in his domain.

Awards and Honors

Aneesh Mazumder has received numerous accolades for his contributions to research and academia. These include [notable awards, fellowships, or recognitions]. His achievements highlight his dedication and impact in [field]. He has been invited as a speaker at prestigious conferences, recognized by professional societies, and honored for his innovative contributions.

Conclusion

Aneesh Mazumder’s journey exemplifies excellence in academia and research. His expertise, dedication, and contributions continue to shape advancements in [field]. Through his work, he has not only expanded scientific understanding but also inspired future researchers. His impact extends beyond academia, influencing industries and global scientific communities. As he continues to innovate, his legacy as a researcher and mentor remains strong.

Publication Top Notes

  1. Exploring the accuracy of embedded ChatGPT-4 and ChatGPT-4o in generating BI-RADS scores: a pilot study in radiologic clinical support

    • Authors: Dan Nguyen, Arya Rao, Aneesh Mazumder
    • Year: 2024

  2. Towards A Binary Classification Algorithm for the Prediction of Alzheimer’s Disease

    • Authors: Aneesh Mazumder, Anirudh Mazumder
    • Year: 2024

  3. Towards the Development of an Automated Pipeline for Cilia Detection

    • Authors: Aneesh Mazumder, Anirudh Mazumder
    • Year: 2024

  4. An Evaluation of Gerrymandering in the US

    • Authors: Aneesh Mazumder, Mahati Dharanipathhi, Gracie Adams, Anirudh Mazumder
    • Year: 2024

  5. Analysis of cpA Nerve-Blocking Compounds to Inhibit Functionality of Carbon Dioxide-Sensitive Receptors in Mosquitoes

    • Authors: R Dempsey, S Bullen, E Thomas, Aneesh Mazumder, D Pitafi
    • Year: 2022

  6. The Merits of a Universal Basic Income

    • Authors: A Mehta, V Mittal, Aneesh Mazumder, D Schwartzman, S Sparacio, D Dodda
    • Year: 2022

  7. Banned Books: Are Schools Erasing History?

    • Authors: G Adams, Aneesh Mazumder, A Fecke, V Velez, S Rehm

  8. Right to Privacy vs. Right to Life

    • Authors: Aneesh Mazumder, S Rehm, G Adams, E Miller

  9. Make Housing Affordable Again

    • Authors: Aneesh Mazumder, AA Klaits, G Adams, J Priest, E Miller

Haoqing Sun | Path Optimization | Best Researcher Award

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Mr. Haoqing Sun | Path Optimization | Best Researcher Award

Ms at Liaoning Technical University, China

Haoqing Sun is a dedicated and innovative researcher specializing in logistics optimization and sustainable delivery solutions. His work primarily focuses on enhancing the efficiency and environmental sustainability of logistics systems, particularly in the fresh food industry. By leveraging advanced algorithms and multi-objective optimization models, he addresses key challenges in logistics, such as reducing costs, improving delivery efficiency, and minimizing carbon emissions. Sun’s research is widely recognized in academic circles, and his work has been published in top journals. He is also actively involved in leading various research projects and academic competitions. Sun is known for his strong leadership skills and commitment to exploring new technological solutions in logistics.

Professional Profile

 

Education:

Haoqing Sun is currently pursuing a Master’s degree in Logistics Engineering and Management at the School of Business Administration, Liaoning Technical University, where he has been studying since September 2022. He works under the supervision of Professor Manhui He, focusing on path optimization and heuristic algorithms. Before this, he completed his undergraduate studies in Tourism Management at Dalian University, where he gained a solid foundation in business and management principles. Sun’s academic journey reflects a blend of technical and managerial skills, positioning him as an emerging expert in logistics optimization.

Professional Experience:

Haoqing Sun’s professional experience includes academic research and leadership roles in various projects and competitions. He has served as the team leader for significant academic modeling competitions, including the “数维杯国际建模挑战赛” (Mathematical Modeling and Optimization of Washing Processes), where his team won a national second prize. In addition to his research, Sun has taken on leadership roles, such as the Learning Officer at Liaoning Technical University’s School of Business Administration. His entrepreneurial spirit is also demonstrated through a successful startup during his undergraduate years, where he was responsible for sourcing, sales, and logistics operations of sneakers.

Research Interests:

Haoqing Sun’s research interests are centered around logistics optimization, with a particular focus on improving the efficiency and sustainability of fresh food logistics. His work addresses key challenges in this field, including reducing environmental impact, optimizing delivery routes, and minimizing operational costs. He is particularly interested in multi-objective optimization models that balance various factors such as transportation costs, carbon emissions, and time constraints. Sun’s research also explores the integration of electric vehicles and drones in logistics, aiming to create more efficient and environmentally friendly delivery systems for rural and urban areas.

Research Skills:

Haoqing Sun has developed a strong skill set in optimization techniques, particularly in the application of heuristic algorithms for logistics path optimization. He is proficient in multi-objective optimization, utilizing algorithms such as the improved adaptive multi-objective ant colony algorithm to solve complex logistics problems. Sun is also skilled in data analysis and mathematical modeling, with a solid understanding of k-means++ clustering and robust optimization. His research involves both theoretical and practical aspects, with a strong emphasis on applying his findings to real-world logistics scenarios. Additionally, he has experience in leading collaborative research projects, demonstrating his ability to work effectively in team environments.

Awards and Honors:

Haoqing Sun has received several prestigious awards for his academic and research accomplishments. Notably, he won the national second prize at the “数维杯国际建模挑战赛” (International Mathematical Modeling Challenge), where he led his team in optimizing washing processes for efficiency and resource consumption. In addition to this, Sun has been recognized with the Graduate Second-Class Scholarship at Liaoning Technical University, awarded to the top 25% of students. His research papers have been accepted by high-impact journals and conferences, including “Mathematics” (JCR Q1) and ICMSEM (EI), further underscoring his academic excellence and contributions to the field of logistics optimization.

Madalin Costin | Energy | Best Researcher Award

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Mr. Madalin Costin | Energy | Best Researcher Award

Lecturer at Lower Danube” University of Galati, Romania

Madalin Costin is an accomplished academic and researcher with a strong foundation in Electrical Engineering. He specializes in electric drives, renewable energy systems, and the use of advanced control strategies for electromagnetic energy conversion processes. Currently a lecturer at “Dunarea de Jos” University of Galati, Romania, Madalin has consistently demonstrated a passion for teaching and research. His work spans both theoretical and applied aspects of energy efficiency and control systems, with a particular focus on improving performance through innovative methods. His ongoing projects, such as the evaluation of novel control strategies for PMSM motors, highlight his commitment to advancing the field. As a multilingual academic, Madalin is well-positioned to engage in international collaborations, furthering the impact of his research.

Professional Profile

Education

Madalin Costin holds a robust academic background in Electrical Engineering, starting with his undergraduate degree from “Dunarea de Jos” University of Galati in Romania, where he specialized in Electric Drives. He continued his education with a Master’s degree in Electrical Engineering, focusing on the Rational Use of Energy and Renewable Sources. Furthering his expertise, he completed his PhD at the same institution, where his research focused on energy-efficient control strategies. Currently, Madalin is pursuing a second PhD at Gheorghe Asachi Technical University of Iasi, demonstrating his commitment to continued academic growth.

Professional Experience

Madalin Costin has accumulated valuable professional experience, beginning his career as a Computer Scientist at “Dunarea de Jos” University of Galati. Over the years, he progressed to Assistant and then Lecturer positions, where he has been responsible for teaching both theoretical and practical aspects of Electrical Engineering. His experience in academic settings is complemented by his involvement in project management. As of June 2024, he is managing a significant research project focused on evaluating a novel control strategy for electromagnetic energy conversion. His professional journey reflects his evolving expertise and leadership in both academia and research.

Research Interests

Madalin Costin’s research interests are primarily focused on renewable energy systems, electric drives, and advanced control strategies for electromagnetic energy conversion. He has a strong interest in improving the efficiency of electric motors and developing new control methods that are both energy-efficient and adaptable to real-world applications. His ongoing work on Radial Basis Function Neural Networks (RBF-NN) and Model Predictive Control (MPC) for Permanent Magnet Synchronous Motors (PMSM) is aimed at optimizing energy conversion processes. He is particularly interested in how these technologies can be applied to renewable energy sources and contribute to more sustainable engineering solutions.

Research Skills

Madalin Costin is proficient in a variety of research skills related to electrical engineering and renewable energy. His expertise includes control theory, energy efficiency, and optimization techniques, particularly in the context of electric drives and renewable systems. He is skilled in using advanced computational methods, including neural networks and predictive control algorithms, to model and optimize energy systems. Madalin also possesses solid skills in project management, demonstrating an ability to lead and coordinate complex research initiatives. Additionally, his proficiency in academic writing and presenting research ensures that his work reaches both scientific and industrial audiences.

Awards and Honors

While Madalin Costin’s career is still in its developing stages, he has already shown significant promise in both his academic and research pursuits. His work on energy efficiency and control strategies for electric drives has been recognized within his university and research community. He is an active participant in various academic conferences and workshops, where his research is often acknowledged. His ongoing contributions to research on renewable energy systems, particularly in the context of electromagnetic energy conversion, are likely to garner more formal recognition as his research advances and his academic portfolio expands.

Conclusion

Madalin Costin is a highly capable and dedicated researcher with a strong academic foundation, a focus on renewable energy and advanced control strategies, and a steady record in teaching and project management. His current research and his approach to advanced energy systems place him in a strong position for the Best Researcher Award. By increasing his publication output, expanding industry collaborations, and exploring additional research areas, he could further elevate his impact and recognition in the academic and research community.

Publication Top Notes

  1. Induction Motor Improved Vector Control Using Predictive and Model-Free Algorithms Together with Homotopy-Based Feedback Linearization
    • Authors: Costin, M., Lazar, C.
    • Year: 2024
    • Journal: Energies, 17(4), 875
  2. Field-Oriented Predictive Control Structure for Synchronous Reluctance Motors
    • Authors: Costin, M., Lazar, C.
    • Year: 2023
    • Journal: Machines, 11(7), 682
    • Citations: 5
  3. Thermal Regime of Induction Motors After Rewinding for Other Characteristics Than Those Established by Design
    • Authors: Voncila, I., Selim, E., Paraschiv, I., Costin, M.
    • Year: 2023
    • Conference: 8th International Symposium on Electrical and Electronics Engineering, ISEEE 2023 – Proceedings
  4. Constrained Predictive Current Control in dq Frame for a Permanent Magnet Synchronous Machine
    • Authors: Costin, M., Lazar, C.
    • Year: 2023
    • Conference: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023
  5. Comparative Study of Predictive Current Control Structures for a Synchronous Reluctance Machine
    • Authors: Costin, M., Lazar, C.
    • Year: 2022
    • Conference: 26th International Conference on System Theory, Control and Computing, ICSTCC 2022 – Proceedings
    • Citations: 1
  6. Predictive Control of a Two-Input Two-Output Current System for Permanent Magnet Synchronous Machines
    • Authors: Costin, M., Lazar, C.
    • Year: 2021
    • Conference: 25th International Conference on Methods and Models in Automation and Robotics, MMAR 2021
    • Citations: 1
  7. The Influence of Saturation on the Performance of PMSM
    • Authors: Voncila, I., Paraschiv, I., Costin, M.
    • Year: 2021
    • Conference: ISEEE 2021: 7th International Symposium on Electrical and Electronics Engineering
  8. Predictive dq Current Control of an Induction Motor
    • Authors: Costin, M., Lazar, C.
    • Year: 2021
    • Conference: 25th International Conference on System Theory, Control and Computing, ICSTCC 2021
    • Citations: 1
  9. Active Flux Based Predictive Control of Interior Permanent Magnet Synchronous Machine
    • Authors: Costin, M., Lazar, C.
    • Year: 2020
    • Conference: International Symposium on Fundamentals of Electrical Engineering, ISFEE 2020
    • Citations: 1
  10. Evaluation of PV Panels by a Spline-Fuzzy Approximation and Classification Method
    • Authors: Costin, M., Bivol, I., Voncila, I.
    • Year: 2018
    • Conference: International Symposium on Fundamentals of Electrical Engineering, ISFEE 2018

 

Farag Altalbawy | Organic Chemistry | Excellence in Research

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Prof. Dr. Farag Altalbawy | Organic Chemistry | Excellence in Research

Prof. Dr. at University of Tabuk, Saudi Arabia

Prof. Dr. Farag Mohamed A. Altalbawy is an esteemed Professor of Photoorganic Chemistry with a distinguished career marked by significant contributions to organic and nanomaterial chemistry. Born in Giza, Egypt, Prof. Altalbawy has held various academic roles in Egypt and Saudi Arabia, specializing in photoorganic chemistry and nanotechnology applications. His research focuses on organic and heterocyclic chemistry, spectroscopic analysis, and nanoparticle chemistry, with recent work addressing environmental applications, drug delivery systems, and cancer therapies. Prof. Altalbawy has an impressive publication record with studies appearing in prestigious international journals. His collaboration with researchers worldwide underlines his commitment to advancing scientific knowledge. Known for his expertise in Density Functional Theory (DFT) and spectroscopic methods, he leverages advanced analytical tools to tackle complex research questions. Prof. Altalbawy’s career showcases a dedication to innovative, interdisciplinary research and a global perspective on collaboration.

Professional Profile

Education

Prof. Altalbawy completed his B.Sc. in Chemistry with distinction at Cairo University in 1988. His academic journey took him to Monash University, Australia, where he earned an M.Sc. in 2001, focusing on photoorganic chemistry and gaining foundational expertise in organic synthesis. In 2005, he achieved his Ph.D. in Photoorganic Chemistry from Cairo University. His doctoral research delved into advanced photophysical and photochemical properties of organic molecules, equipping him with an in-depth understanding of spectroscopic analysis and reaction mechanisms. His comprehensive education, combining theoretical knowledge with practical training in experimental methodologies, laid the groundwork for his later research in nanomaterials and heterocyclic chemistry. Prof. Altalbawy’s academic background has been instrumental in shaping his innovative approach to chemical research, particularly in developing nano-based systems for biomedical applications.

Professional Experience

Prof. Altalbawy has accumulated over two decades of academic and research experience, beginning as a Demonstrator at Cairo University in 1997. He progressed to Assistant Lecturer in 2001 and Assistant Professor by 2006, solidifying his expertise in photoorganic and spectroscopic chemistry. In 2013, he advanced to Associate Professor at Cairo University, where he expanded his research into nanomaterials and computational chemistry. Currently, Prof. Altalbawy holds a professorship at the University of Tabuk in Saudi Arabia, a position he has occupied since 2018. His role there encompasses teaching, mentoring, and leading research initiatives in advanced chemistry topics. Throughout his career, Prof. Altalbawy has not only taught a wide array of chemistry courses but also contributed to numerous research projects with international collaborators, illustrating his commitment to fostering scientific exchange and innovation.

Research Interests

Prof. Altalbawy’s research interests lie at the intersection of organic chemistry, nanotechnology, and computational modeling. His work spans organic synthesis, heterocyclic chemistry, spectroscopic analysis, and the application of nanoparticles in environmental and biomedical fields. In recent years, he has focused on nanostructured materials for drug delivery, with significant contributions in Density Functional Theory (DFT) studies, providing theoretical insights into molecular interactions. Prof. Altalbawy’s exploration of metal-organic frameworks (MOFs) and other novel nanostructures for sensing and catalysis reflects his dedication to developing cutting-edge solutions for complex chemical challenges. Additionally, his research on anti-cancer drug delivery systems and nanosensors underscores his commitment to advancing healthcare through chemistry, positioning him as a key contributor to modern photochemistry and nano-biotechnology.

Research Skills

Prof. Altalbawy is proficient in a wide range of research skills, including advanced spectroscopic techniques, DFT computational modeling, and organic synthesis. He is skilled in the use of software tools like ChemDraw and ISIS for chemical structure visualization and analysis. His expertise in Microsoft Office and internet-based research applications supports his data management and presentation capabilities. Prof. Altalbawy has significant experience with spectroscopic instrumentation, employing techniques such as UV-Vis and FTIR to analyze molecular properties. Additionally, his computational skills enable him to conduct theoretical studies on nanostructured materials, investigating their potential applications in areas such as drug delivery and environmental remediation. His combined proficiency in both experimental and computational methods reflects a versatile approach to tackling interdisciplinary scientific problems.

Awards and Honors

Prof. Altalbawy’s contributions to the field of chemistry have earned him recognition both regionally and internationally. While specific awards are not listed in his CV, his achievements, including numerous high-impact publications in international journals, reflect his stature and influence in the scientific community. His work in advancing photoorganic and nanomaterial chemistry has likely brought him considerable respect among his peers, and his role at University of Tabuk as a professor underscores his academic distinction. Prof. Altalbawy’s collaborations across global research teams are a testament to his expertise and the value his insights bring to multi-disciplinary projects. His career achievements highlight his dedication to advancing knowledge and innovation in chemistry, making him a strong candidate for honors within academic and scientific circles.

Conclusion

Prof. Dr. Farag Mohamed A. Altalbawy’s strong research portfolio, international collaborations, and extensive publication record make him a robust candidate for the Best Researcher Award. His profile is distinguished by a commitment to innovative and relevant research areas in photoorganic chemistry and nanotechnology, which aligns well with the award’s criteria. Adding mentorship and greater diversity in research methods would further strengthen his candidacy, but overall, he demonstrates exceptional qualifications worthy of recognition.

Publication Top Notes

  1. The PDINH decorated NH2-UiO-67 MOF for promoted photocatalytic Cr(VI) reduction: Performance, and mechanism
    • Authors: Suliman, M., Altalbawy, F.M.A., Sur, D., Hamoodah, Z.J., Almoswee, M.
    • Year: 2025
    • Journal: Journal of Molecular Structure, 1322, 140374
  2. An overview of lncRNA NEAT1 contribution in the pathogenesis of female cancers; from diagnosis to therapy resistance
    • Authors: Ibraheem Shelash Al-Hawari, S., Abdalkareem Jasim, S., M. A. Altalbawy, F., Alsaadi, S.B., Hussein Zwamel, A.
    • Year: 2025
    • Journal: Gene, 933, 148975
  3. Incorporation anthracene and Cu to NH2-Zr-UiO-67 metal-organic framework: Introducing the simultaneous selectivity and efficiency in photocatalytic CO2 reduction to ethanol
    • Authors: Saadh, M.J., Mustafa, M.A., Altalbawy, F.M.A., Alam, M.M., Abosaoda, M.K.
    • Year: 2024
    • Journal: Journal of Molecular Structure, 1318, 139329
  4. Exploring green synthesis and characterization of ZIF-8 and recent developments in anti-infective applications
    • Authors: Suliman, M., Altalbawy, F.M.A., Kaur, M., Zwamel, A.H., Abualigah, L.
    • Year: 2024
    • Journal: Inorganic Chemistry Communications, 170, 113333
  5. Role of homeobox genes in cancer: immune system interactions, long non-coding RNAs, and tumor progression
    • Authors: Jasim, S.A., Farhan, S.H., Ahmad, I., Alsaadi, S.B., Abosaoda, M.K.
    • Year: 2024
    • Journal: Molecular Biology Reports, 51(1), 964
  6. Fe3O4@SiO2-APA-Amide/Imid-NiCl2 as a New Nano-Magnetic Catalyst for the Synthesis of 4H-Pyrimido[2,1-b]benzothiazole Derivatives via MCRs Under Solvent-Free Conditions
    • Authors: Altalbawy, F.M.A., Ballal, S., Chahar, M., Kalyani, T., Alhadrawi, M.
    • Year: 2024
    • Journal: ChemistrySelect, 9(42), e202403810
  7. A theoretical approach on the removal of elemental Cu and Cu (I) ions applying the g-C3N4S, g-C3N4O, g-C3N4N, and g-C3N4 nanosheets
    • Authors: Altalbawy, F.M.A., Mustafa Hameed, S., Rekha, M.M., Ali Mtasher, A., Seed, F.F.
    • Year: 2024
    • Journal: Computational and Theoretical Chemistry, 1241, 114917
  8. Synthesis, characterization, and applications of starch-based nano drug delivery systems for breast cancer therapy: A review
    • Authors: Mei, S., Roopashree, R., Altalbawy, F.M.A., Al-Abdeen, S.H.Z., Alhadrawi, M.
    • Year: 2024
    • Journal: International Journal of Biological Macromolecules, 280, 136058
  9. Harmonizing sustainability and sensing: Exploring green synthesis approaches and sensing advancements in Au-based nanostructures
    • Authors: Roopashree, R., Altalbawy, F.M.A., Krishna Saraswat, S., Warid Maya, R., Alhadrawi, M.
    • Year: 2024
    • Journal: Inorganic Chemistry Communications, 169, 113130
  10. Inhibitors of the mTOR signaling pathway can play an important role in breast cancer immunopathogenesis
    • Authors: Al-Hawary, S.I.S., Altalbawy, F.M.A., Jasim, S.A., Jawad, M.A., Zwamel, A.H.
    • Year: 2024
    • Journal: Cell Biology International, 48(11), 1601–1611

 

Sina Ebrahimi | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

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Mr. Sina Ebrahimi | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Research Assistant at Sharif University of Technology, Iran

Sina Ebrahimi is an accomplished researcher specializing in nano-bioengineering and mechanical engineering, with a focus on targeted drug delivery, microfluidics, and computational modeling. He holds a Master’s degree in Mechanical Engineering from Sharif University of Technology and a Bachelor’s from the University of Tabriz. His multidisciplinary research spans areas such as nano-microfluidic device design, single-cell analysis, and fluid-structure interactions. With over 260 citations and an h-index of 12, Ebrahimi’s work has made significant contributions to fields like cancer therapy and cardiovascular diseases. He has collaborated with renowned institutions, including Oregon Health & Science University, where he applies fluid-structure interaction techniques to biomedical problems. His hands-on experience with experimental projects, coupled with his strong technical skills in computational modeling and device fabrication, makes him a rising figure in the biomedical engineering landscape. His work in optimizing drug delivery systems demonstrates innovation and potential for impactful medical applications.

Professional Profile

Education

Sina Ebrahimi’s educational background reflects a strong foundation in mechanical engineering and a focus on advancing technology in biomedical applications. He earned his Master of Science (M.Sc.) in Mechanical Engineering from Sharif University of Technology in Tehran, where he achieved an impressive GPA of 3.9/4. His thesis, titled “Stability of Coronary Arteries Arteriosclerosis Using Fluid-Structure Interaction,” was supervised by Dr. Famida Fallah. Prior to his master’s degree, he completed his Bachelor of Science (B.Sc.) in Mechanical Engineering at the University of Tabriz, graduating with a GPA of 15.06/20. His undergraduate thesis involved a computational dynamic finite element simulation of the thoracic vertebrae under blunt loading, supervised by Dr. Hasan Biglari. This rigorous academic training, combined with hands-on research experiences, has equipped Ebrahimi with the expertise necessary to address complex challenges in nano-bioengineering and related fields.

Professional Experience

Sina Ebrahimi has cultivated a robust professional profile through various research assistant roles and teaching experiences in the field of mechanical and biomedical engineering. Currently, he works as a Research Assistant at the Nano-Bio Engineering Lab at Sharif University of Technology, where he focuses on designing and fabricating advanced microfluidic chips for targeted drug delivery systems. Additionally, Ebrahimi is involved in research at the Iranian Research Organization for Science and Technology, contributing to the development of microfluidic devices for circulating tumor cell sorting. He also serves as a Research Assistant at Oregon Health & Science University, applying fluid-structure interaction techniques to estimate biomechanical properties in biomedical contexts. Earlier, he gained valuable experience as a Teaching Assistant at Sharif University, where he guided master’s students in project development and scientific writing. This diverse professional experience demonstrates Ebrahimi’s commitment to advancing research in nano-bioengineering and his ability to mentor emerging scientists.

Research Interest

Sina Ebrahimi’s research interests lie at the intersection of mechanical engineering, bioengineering, and nanotechnology, with a particular focus on developing innovative solutions for biomedical applications. He is deeply engaged in the design and fabrication of nano-microfluidic devices, aiming to enhance targeted drug delivery systems. His work often involves biophysical analysis and single-cell analysis, contributing to advancements in understanding disease mechanisms at a microscopic level. Ebrahimi is also keen on exploring lab-on-a-chip technologies, which integrate multiple laboratory functions onto a single chip for more efficient diagnostics and therapeutics. Additionally, he employs finite element and volume modeling techniques to simulate complex biological systems, such as fluid-structure interactions in cardiovascular health. Through these research pursuits, Ebrahimi aims to address critical challenges in medical science, particularly in cancer therapy and cardiovascular diseases, demonstrating his commitment to bridging engineering principles with healthcare innovation.

Award and Honor

Sina Ebrahimi has received several notable awards and honors throughout his academic journey, highlighting his dedication and excellence in research. In 2023, he achieved an impressive score of 325 out of 340 on the GRE Subject Test, showcasing his strong aptitude in quantitative analysis and verbal reasoning. Ebrahimi was recognized as an elite student researcher in the Department of Mechanical Engineering at Sharif University of Technology in 2020, a testament to his significant contributions to academic research and his ability to engage in innovative projects. Additionally, he ranked 20th among over 17,000 participants in the nationwide university entrance exam for his Master’s program in Mechanical Engineering in 2017, reflecting his exceptional academic performance and potential. These honors not only underscore Ebrahimi’s commitment to his field but also establish him as a promising researcher poised to make impactful contributions to biomedical engineering and technology.

Conclusion

Sina Ebrahimi is a strong candidate for a Best Researcher Award, particularly within fields like biomedical engineering and nanotechnology. His interdisciplinary research, high citation count, and innovative approaches to cancer treatment and drug delivery make him a notable emerging researcher. While his work is impactful and well-recognized in academia, advancing leadership roles in funding, broader public engagement, and targeting top-tier journal publications would further bolster his candidacy for future awards.

Publication top noted

  • In-silico study of drug delivery to atherosclerosis in the human carotid artery using metal–organic frameworks based on adhesion of nanocarriers
    Authors: Shamloo, A., Naseri, T., Rahbary, A., Ebrahimi, S., Mirafzal, I.
    Journal: Scientific Reports (2023)
    Citation: 13(1), 21481. [DOI: 10.1038/s41598-023-48803-0] 📄
  • Investigation of the size and shape of nano-microcarriers for targeted drug delivery to atherosclerotic plaque in ischemic stroke prevention
    Authors: Sayah, M., Ebrahimi, S., Mirafzal, I., Shamloo, A.
    Journal: International Journal of Pharmaceutics (2024)
    Citation: 662, 124469. 📄
  • A comprehensive review of lessons learned from quantum dots in cancer therapy
    Authors: Mohammadi, J., Hheidari, A., Sardari, S., Rahdar, A., Pishbin, E.
    Journal: Biomedical Materials (Bristol) (2024)
    Citation: 19(5), 052004. 📄
  • Metal-based nanoparticle in cancer treatment: lessons learned and challenges
    Authors: Hheidari, A., Mohammadi, J., Ghodousi, M., Pishbin, E., Rahdar, A.
    Journal: Frontiers in Bioengineering and Biotechnology (2024)
    Citation: 12, 1436297. 📄
  • Magnetic sorting of circulating tumor cells based on different-level antibody expression using a divergent serpentine microchannel
    Authors: Ebrahimi, S., Rostami, Z., Alishiri, M., Shamloo, A., Hoseinian, S.M.A.
    Journal: Physics of Fluids (2023)
    Citation: 35(12), 121906. 📄
  • A curved expansion-contraction microfluidic structure for inertial based separation of circulating tumor cells from blood samples
    Authors: Ebrahimi, S., Alishiri, M., Pishbin, E., Afjoul, H., Shamloo, A.
    Journal: Journal of Chromatography A (2023)
    Citation: 1705, 464200. 📄
  • Optimizing the design of a serpentine microchannel based on particles focusing and separation: A numerical study with experimental validation
    Authors: Ebrahimi, S., Alishiri, M., Shamloo, A., Seifi, S., Shaygani, H.
    Journal: Sensors and Actuators A: Physical (2023)
    Citation: 358, 114432. 📄
  • Novel bilayer coating on gentamicin-loaded titanium nanotube for orthopedic implants applications
    Authors: Shaygani, H., Seifi, S., Shamloo, A., Alishiri, M., Ebrahimi, S.
    Journal: International Journal of Pharmaceutics (2023)
    Citation: 636, 122764. 📄
  • Effect of nano-microparticle shape on targeted drug delivery: A numerical study on Abdominal Aortic Aneurysm
    Authors: Ebrahimi, S., Rahbary, A., Mirafzal, I., Shamloo, A.
    Conference: 2023 30th National and 8th International Iranian Conference on Biomedical Engineering (ICBME 2023)
    Citation: pp. 364–370. 📄