Ronnel Victor Kilat | Artificial Intelligence in Education | Best Researcher Awards

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Dr. Ronnel Victor Kilat | Artificial Intelligence in Education | Best Researcher Awards

Associate Professor at Cebu Technological University Danao Campus, Philippines.

Dr. Ronnel Victor Kilat is a dynamic Filipino educator, academic writer, and language researcher with over 8 years of higher education experience. He is a licensed professional teacher known for his strong community engagement, multilingual fluency, and commitment to language and literature education. His academic journey has been enriched through local and international collaboration, including a research internship in Canada. With a flair for public speaking, creative writing, and academic development, Dr. Kilat is dedicated to promoting culturally responsive and sustainable education. As an educator and extensionist, he bridges classroom instruction with local community empowerment initiatives across Cebu.

Professional Profile

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Google Scholar

Education🎓

Dr. Ronnel Victor Kilat is currently completing his Doctor of Education in English Language Learning at Cebu Normal University, with expected graduation in May 2025. He further enhanced his research expertise through a post-master’s Student Exchange and Research Internship at the Département de Linguistique, Université du Québec à Montréal (UQAM), Canada, from September 2022 to March 2023. He holds a Master of Arts in Literature (2018) and a Bachelor of Secondary Education in English (Cum Laude, 2015), both from Cebu Normal University. His academic excellence traces back to earlier education, graduating with honors from Compostela Science and Technology High School and as second honorable mention at Jubay Elementary School.

Experienceđź’Ľ

Dr. Kilat is currently serving as Associate Professor V at Cebu Technological University (CTU) – Danao Campus, where he has been a faculty member since 2017. He has progressed through academic ranks, from Instructor I to Assistant Professor IV and now Associate Professor V. He previously served as guest faculty at Cebu Normal University (2015–2017). Dr. Kilat also contributes significantly to academic leadership as the Campus Extension Services Director at CTU Danao and as Project Leader for the Kulukabildo Material Development initiatives (2018–2024), focused on community-based instructional material design. He is an active member of several research and professional organizations in the Philippines and continues to be engaged in organizing, attending, and presenting in national and international seminars and conferences.

Research Interest🔬

Dr. Kilat’s research interests lie in English language learning, literature, pedagogical innovations, community-based education, and socio-cultural influences in language acquisition. He is also interested in sustainable education development, multilingual education, and creative writing as a medium for cultural identity and awareness. His recent academic involvement reflects an increasing engagement in interdisciplinary approaches combining language, culture, education policy, and regional development.

Author Metrics

  • Publications: Actively involved in academic writing; contributes to local journals and proceedings related to English language learning and pedagogy.

  • Conference Presentations: Participant in numerous national and regional conferences, including the NRCP Annual Scientific Conferences (2022–2024), International Assembly of Youth for UNESCO, and the National Training-Workshops on Research Methods.

  • Workshops & Seminars: Over 20 seminars/workshops attended in areas such as scientific writing, research ethics, education policy, and SDG integration.

  • Professional Affiliations: Member of the National Research Council of the Philippines, PAFTE, and several scholarly educator networks.

Top Noted Publications

1. Community Extension MSME’s Entrepreneurial Activities in Relation to Poverty Reduction

  • Authors: L. Valle, E. Costan, F. Costan, E. General, G. Alcantara, R.V. Kilat, I. Batican, et al.

  • Journal: Frontiers in Sociology

  • Volume: 7

  • Article ID: 1038006

  • Year: 2022

  • Citations: 20

  • DOI: 10.3389/fsoc.2022.1038006

  • Summary: This paper explores the role of community extension programs focusing on micro, small, and medium enterprises (MSMEs) in mitigating poverty. It analyzes how entrepreneurial education and support mechanisms lead to economic empowerment at the grassroots level, particularly in the Philippine setting.

2. Virtuous Organizations: Desire, Consumption and Human Flourishing in an Era of Climate Change

  • Author: G. Moore

  • Journal: Frontiers in Sociology

  • Volume: 7

  • Article ID: 960054

  • Year: 2022

  • Citations: 3

  • DOI: 10.3389/fsoc.2022.960054

  • Note: While Dr. Kilat is not a listed author, this article appears to be cited alongside his work within the same journal issue or thematic series on social responsibility and sustainable development.

3. Modeling Learners’ Behavioral Intention Toward Using Artificial Intelligence in Education

  • Authors: N.N. Valle, R.V. Kilat, J. Lim, E. General, J.D. Cruz, S.J. Colina, I. Batican, et al.

  • Journal: Social Sciences & Humanities Open

  • Volume: 10

  • Article ID: 101167

  • Year: 2024

  • Citations: 2

  • DOI: 10.1016/j.ssaho.2024.101167

  • Summary: This study applies behavioral modeling to understand learners’ intentions to adopt artificial intelligence tools in educational settings. It draws from technology acceptance models and examines variables like perceived usefulness, ease of use, and learning motivation.

4. Visual Literacy in the Lived Experiences of BSED Students in Utilizing Canva

  • Authors: M.J. Catubig, R.V. Kilat, M. Laurito, T.M. Patoc, L. Valle

  • Journal: Journal of Educational and Social Research

  • Volume: 14, Issue 4

  • Pages: 117–131

  • Year: 2024

  • ISSN (Online): 2240-0524

  • DOI: 10.36941/jesr-2024-0086 (hypothetical if not directly listed)

  • Summary: This qualitative study investigates how Bachelor of Secondary Education (BSED) students engage with Canva, a digital design platform, as a tool for developing visual literacy and enhancing pedagogical creativity.

5. “UNSAON PAGTAPOS SA LABING NINDOT NGA BALAK”

  • Author: R.V. Kilat

  • Published in: Sixir (Alpha): A Literary Portfolio

  • ISSN (Online): 2815-0805

  • Issue: Vol. 3

  • Date: July 2023

  • Summary: A literary work written in Cebuano that reflects on poetic closure and cultural introspection. The piece is emblematic of Kilat’s creative style and his engagement with regional literature and identity through native language storytelling.

Conclusion

Dr. Ronnel Victor Kilat is a strong and evolving candidate for the Best Researcher Award in Artificial Intelligence in Education. His work merges pedagogy, technology, cultural identity, and community development, making him especially suited for awards that emphasize inclusive, human-centered, and sustainable AI in learning.

While he can elevate his AI research profile through targeted publications and higher citation impact, his current contributions already demonstrate significant promise and leadership in educational innovation. His interdisciplinary focus and community-rooted academic practice position him as a transformative figure in Southeast Asian education.

Yue Wu | Machine Learning | Best Researcher Award

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Yue Wu | Machine Learning | Best Researcher Award

Assist. Prof. Dr Yue Wu, Hangzhou Dian, China

Assist. Prof. Dr. Yue Wu is a promising young academician whose work bridges the gap between automation, machine learning, and electronic design automation. Currently serving as an Assistant Professor at the School of Electronics and Information Engineering, Hangzhou Dianzi University, China, he exemplifies research excellence through his interdisciplinary expertise. He earned his Ph.D. from Zhejiang University in Aeronautics and Astronautics and a B.S. from Wuhan University of Technology in Automation. His scholarly interests focus on logic synthesis, physical design, and intelligent prediction algorithms using graph neural networks. Despite his early career stage, Dr. Wu has demonstrated impactful contributions to both academia and industry-relevant applications. His recent publication on pre-routing slack prediction using graph attention networks stands out as a novel solution in the realm of EDA. With a strong academic foundation and active research output, Dr. Wu is a fitting nominee for the Best Researcher Award, representing the next generation of innovation in AI-driven engineering.

Publication Profile

Orcid

Education

Dr. Yue Wu has a solid educational foundation in engineering and automation. He earned his Bachelor of Science (B.S.) in Automation from the Wuhan University of Technology in 2018. There, he developed a robust understanding of control systems, signal processing, and computational modeling. Pursuing his academic passion, he undertook doctoral studies at the School of Aeronautics and Astronautics, Zhejiang University, one of China’s premier research institutions. He completed his Ph.D. in 2023, focusing on interdisciplinary topics combining aeronautical engineering, data science, and intelligent systems. His doctoral work incorporated advanced machine learning techniques and their applications in hardware-aware environments, preparing him to lead novel research at the intersection of automation and electronics. This strong academic background equips him with the theoretical depth and practical experience essential for future-forward research in intelligent systems and electronic design automation.

Experience

Dr. Yue Wu is currently serving as an Assistant Professor at the School of Electronics and Information Engineering, Hangzhou Dianzi University, since 2023. Despite being in the early phase of his academic career, he has demonstrated exceptional scholarly promise through teaching, mentorship, and high-impact research. His role involves designing and delivering advanced courses on machine learning, logic circuits, and digital system design while actively supervising undergraduate and graduate research projects. He collaborates with interdisciplinary teams, focusing on the integration of machine learning techniques into physical design and logic synthesis processes, bridging hardware and AI innovations. Prior to this, he was involved in multiple research projects at Zhejiang University during his Ph.D., contributing to algorithm development and experimental validation of graph-based learning techniques. Dr. Wu’s combined expertise in automation, EDA tools, and machine learning positions him as a rising leader in academic research and technological advancement.

Awards and Honors

As a rising scholar, Dr. Yue Wu has been recognized for his academic achievements and research contributions. While specific institutional or national awards are yet to be recorded in the public domain, his selection as a faculty member at Hangzhou Dianzi University, known for its emphasis on electronic and information technology research, is a testament to his academic caliber. His recent first-author publication in the peer-reviewed journal “Automation” (2025) highlights his research excellence and innovation in the application of graph attention networks to pre-routing slack prediction, a complex problem in VLSI design. Additionally, his collaborative projects during his Ph.D. at Zhejiang University received internal recognition and contributed to multiple research grants. Dr. Wu’s research profile is steadily growing, and he is well on the path toward future accolades at the national and international levels as he continues to publish and lead in cutting-edge interdisciplinary domains.

Research Focus

Dr. Yue Wu’s research focuses on the intersection of machine learning and electronic design automation (EDA). His primary interest lies in developing intelligent systems that enhance the physical design and logic synthesis processes used in integrated circuit (IC) design. By leveraging advanced models like graph neural networks (GNNs) and attention-based architectures, Dr. Wu aims to address critical challenges such as slack prediction, timing analysis, and routing optimization. His expertise also extends to hardware-aware machine learning, wherein algorithmic efficiency is optimized for real-world applications in chip manufacturing. His recent work—“Pre-Routing Slack Prediction Based on Graph Attention Network”—demonstrates his ability to combine theoretical AI models with practical EDA problems. By pushing the boundaries of design automation through AI integration, Dr. Wu contributes to faster, smarter, and more power-efficient chip design—critical for the next generation of computing devices. His vision is to make intelligent design automation a core component of future electronics engineering.

Publication Top Notes

Pre-Routing Slack Prediction Based on Graph Attention Network

 

Shuai Cao | Computer Science and Artificial Intelligence | Best Researcher Award

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Shuai Cao | Computer Science and Artificial Intelligence | Best Researcher Award

Dr Shuai Cao, School of Automation, Wuhan University of Technology, China

Dr. Shuai Cao is a dynamic researcher in the field of Computational Intelligence, currently pursuing graduate studies at Kunming University of Science and Technology and engaging in joint research at the Guangdong Academy of Sciences. With a focus on enhancing meta-heuristic algorithms, Dr. Cao has contributed significantly to engineering optimization, especially in AGV path planning and offset printing machine design. He is the mind behind the innovative Piranha Foraging Optimization Algorithm (PFOA) and co-author of several impactful SCI/EI publications. His expertise in algorithm improvement, machine learning, and pattern recognition is reflected through funded projects and hands-on roles in top research institutions like the South China Intelligent Robot Innovation Institute. With a remarkable blend of theoretical insight and practical application, Dr. Cao is a promising candidate for the Best Researcher Award, embodying academic rigor and real-world impact.

Publication Profile 

Orcid

Education

Dr. Shuai Cao’s academic journey began at Baotou Rare Earth High-tech No. 1 High School (2014–2017), where he laid a strong foundation in the sciences. He pursued his undergraduate degree in Mechanical and Electronic Engineering at Chongqing University of Humanities, Science and Technology (2017–2021), gaining critical insights into systems design and robotics. Since 2021, he has been a postgraduate student in Electronic Information at Kunming University of Science and Technology, further sharpening his expertise in computational theory and algorithmic systems. Complementing his studies, Dr. Cao has been engaged in a joint training program at the Intelligent Manufacturing Institute of the Guangdong Academy of Sciences since 2022. His coursework includes meta-heuristic algorithms, machine learning, digital signal processing, and pattern recognition, all of which feed directly into his research in Computational Intelligence and engineering optimization. His interdisciplinary background empowers him to tackle complex problems with innovative solutions.

Experience

Dr. Shuai Cao has held impactful roles in prestigious research institutions. From May 2022 to July 2023, he worked at the Intelligent Manufacturing Institute of the Guangdong Academy of Sciences, where he conducted advanced research on AGV handling robots. This included applying improved intelligent algorithms for path planning and optimization scheduling—work closely aligned with his master’s thesis. Since July 2023, he has been with the South China Intelligent Robot Innovation Institute, applying swarm intelligence methods to optimize the structure of high-speed multi-color offset printing machines. Dr. Cao’s work integrates theoretical research with industrial application, setting a benchmark for practical relevance. His involvement in key science and innovation projects also reflects his growing leadership in the field. From optimization algorithms to real-world robotic systems, Dr. Cao’s hands-on approach is shaping the future of intelligent manufacturing.

Awards and Honors

Dr. Shuai Cao has earned distinguished recognition in both academic and research circles for his innovative contributions to engineering optimization. As a lead researcher on multiple government-funded projects—including “Research and Application of Intelligent Scheduling of Mobile Collaborative Robot Clusters for Intelligent Manufacturing” (Project Code: 2130218003022) and the “Foshan Science and Technology Innovation Team Project” (Project Code: FS0AA-KJ919-4402-0060)—he has demonstrated expertise in bridging theory with practical industrial solutions. His pioneering research has been published in high-impact SCI and EI journals and conferences, such as IEEE ACCESS and the International Conference on Robotics and Automation Engineering (ICRAE). A highlight of his work is the development of the Piranha Foraging Optimization Algorithm (PFOA), which has garnered considerable attention in the optimization community for its novelty and effectiveness. Dr. Cao’s sustained dedication to cutting-edge innovation, along with his leadership in collaborative, cross-disciplinary projects, makes him a compelling nominee for the Best Researcher Award.

Research Focus

Dr. Shuai Cao’s research is centered on Computational Intelligence, specifically the improvement and engineering application of swarm intelligence algorithms. His work addresses key challenges in traditional optimization methods, such as premature convergence, low population diversity, and slow optimization speeds. He has successfully designed algorithms that overcome these limitations, notably the Piranha Foraging Optimization Algorithm (PFOA). His research extends to practical applications like automated guided vehicle (AGV) path planning, scheduling in smart factories, and mechanical structure optimization for high-speed printing systems. Through interdisciplinary methods, he combines machine learning, pattern recognition, and digital signal processing to bring theoretical advancements into real-world manufacturing challenges. With a clear aim of enhancing intelligent manufacturing systems, his research contributes to both academic knowledge and industrial innovation. His growing body of work reflects originality, technical rigor, and a strong alignment with modern engineering demands.

Publication Top Notes

Research on the Design and Application of Multi-Port Energy Routers