Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award

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Dr. Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award 

Biological Systems Engineering at University of Wisconsin-Madison | United States

Dr. Jiahao Fan is a highly accomplished researcher whose work lies at the intersection of artificial intelligence, computer vision, and biological systems engineering. His professional journey reflects a commitment to developing innovative, data-driven technologies that enhance agricultural productivity and environmental sustainability. He completed his advanced studies in Biological Systems Engineering with a focus on integrating machine learning and computational modeling into precision agriculture. His educational background also includes strong foundations in machine learning, data mining, and remote sensing, equipping him with the expertise to address complex, multidisciplinary challenges in modern biological sciences. Throughout his research career, Dr. Jiahao Fan has contributed to the advancement of multimodal deep learning frameworks, vision-language modeling, and sensor-based data fusion for agricultural applications. His pioneering projects include developing object detection and segmentation systems for plant monitoring, multimodal feature fusion methods for crop analysis, and efficient retrieval-based prediction algorithms that optimize computational performance in data-limited environments. His academic work demonstrates a deep understanding of artificial intelligence applied to biological processes, leading to several peer-reviewed publications and open-source innovations that support sustainable farming systems. Dr. Jiahao Fan’s research is characterized by technical precision, interdisciplinary collaboration, and a vision to bridge computational sciences with real-world agricultural needs. His efforts have earned notable recognition within the research community, as reflected in his 476 citations by 474 documents, 6 published works, and an h-index of 5, highlighting the scholarly influence and practical value of his contributions. Through his continuous pursuit of excellence in both theory and application, Dr. Jiahao Fan remains dedicated to advancing the frontiers of agricultural automation, digital phenotyping, and sustainable resource management. His work not only enriches the academic discourse in agricultural and biological sciences but also lays the groundwork for future innovations that integrate artificial intelligence with global food security and environmental resilience.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

  • Fan, J.(2022). Estimation of maize yield and flowering time using multi-temporal UAV-based hyperspectral data. Remote Sensing, 14(13), 3052.

  • Fan, J.(2023). Enhancing maize silage quality assessment through UAV-based high-throughput phenotyping and deep transfer learning. In AGU Fall Meeting, San Francisco.

  • Fan, J.(2023). Uncrewed aerial vehicle (UAV)-based high‐throughput phenotyping of maize silage yield and nutritive values using multi-sensory feature fusion and multi-task learning with attention mechanism. Remote Sensing, 17(21), 3654.

  • Fan, J.(2025). Mitigating NDVI saturation in imagery of dense and healthy vegetation. ISPRS Journal of Photogrammetry and Remote Sensing, 227,

  • Fan, J.(2022). Multi-temporal estimation of maize yield and flowering time using UAV-based hyperspectral data. Proceedings of the North American Plant Phenotyping Network (NAPPN) Annual Conference.

Kritsada Puangsuwan | Agriculture | Best Scholar Award

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Assist. Prof. Dr. Kritsada Puangsuwan | Agriculture | Best Scholar Award

Lecturer at Prince of Songkla University, Surat Thani Campus, Thailand.

🎓 Asst. Prof. Dr. Kritsada Puangsuwan (ผู9ช;วยศาสตราจารยD ดร. กฤษฎา พวงสุวรรณ) is a Thai academic and innovator serving as Assistant to the President for Information and Learning at Prince of Songkla University, Surat Thani Campus. He is also an Assistant Professor in the Faculty of Sciences and Industrial Technology. With a deep-rooted passion for smart systems and sustainable technology, he specializes in IoT, embedded systems, microwave engineering, and smart agriculture. 📡🌱 His research integrates practical engineering with environmental consciousness, aiming to revolutionize traditional systems with advanced tech. 📘 He is widely published and frequently presents at international conferences. 🎤🌍

Professional Profile:

Google Scholar

Suitability for Best Scholar Award – Asst. Prof. Dr. Kritsada Puangsuwan

Asst. Prof. Dr. Kritsada Puangsuwan stands out as a strong contender for the Best Scholar Award due to his exceptional academic journey, innovative research, and impact-driven contributions to engineering, sustainability, and digital transformation in education. With a Ph.D. in Computer Engineering and a career spanning teaching, research, and academic leadership, Dr. Puangsuwan exemplifies scholarly excellence. His interdisciplinary work in IoT, embedded systems, microwave engineering, and smart agriculture bridges theory and practice while contributing meaningfully to Thailand’s sustainable development goals.

🎓 Education and Experience

  • 🎓 Ph.D. in Computer Engineering – Prince of Songkla University (2017)

  • 🎓 M.Eng. in Computer Engineering – Prince of Songkla University (2012)

  • 🎓 B.Eng. in Electronic Engineering Technology – King Mongkut’s University of Technology North Bangkok (2009, 2nd Class Honors)

  • 👨‍🏫 Assistant Professor – PSU Surat Thani Campus, Faculty of Sciences and Industrial Technology

  • 🧑‍🏫 Lecturer – Rajamangala University of Technology Srivijaya

  • 👔 Assistant to the President for Information and Learning – Prince of Songkla University

📚 Professional Development

Dr. Puangsuwan continuously enhances his academic and technical capabilities through collaborative research and professional training. 🧠📈 He actively engages in knowledge-sharing events, workshops, and seminars related to smart systems, AI applications, and renewable energy. ⚙️🔋 He frequently presents at high-level conferences such as IEEE TENCON, KST, and InCIT, establishing a strong professional network in Asia and beyond. 🌐🎤 His development extends to academic leadership, driving digital transformation and educational innovation within his university. 💻🏫 Passionate about lifelong learning, he also mentors students and young researchers, fostering future talent in engineering and sustainability. 🌱👨‍🎓

🔬 Research Focus

Dr. Puangsuwan’s research bridges innovation and sustainability across multiple domains. 🔬🌿 His core interests include Internet of Things (IoT), Embedded Systems, and Microwave & High-Frequency Circuit Design, particularly for applications in Smart Agriculture and Renewable Energy. 🌾⚡ He also explores Image Processing and Machine Learning for environmental and industrial monitoring. 🖼️🤖 His work emphasizes eco-conscious engineering, like optimizing microwave drying for palm fruit or developing IoT-based water quality systems. 💧📡 By integrating practical engineering with digital technologies, his research contributes to Thailand’s sustainable development goals and next-gen industrial transformation. 🇹🇭🌍

🏆 Awards and Honors

  • 🥇 IEEE TENCON Presenter – 2013

  • 🥇 Presenter at InCIT – 2023

  • 🥇 KST Conference Key Contributor – 2024

  • 📘 Top Q1 Journal Article – IEEE Transactions on Dielectrics and Electrical Insulation (2014)

  • 🏅 Recognized Innovator in Smart Agriculture and IoT at PSU Surat Thani

Publication Top Notes

  • 📄 Design of microwave heating continuous belt system for palm fruit – 14 citations 📊 | 2015 📅

  • 📄 Effective moisture diffusivity, activation energy and dielectric model for palm fruit using a microwave heating – 13 citations 📊 | 2015 📅

  • 📄 Hybrid infrared with hot air drying of Pisang‐Awak banana: Kinetics and shrinkage quality – 10 citations 📊 | 2021 📅

  • 📄 Complex permittivity of fully ripe palm fruit and its application for microwave heating – 10 citations 📊 | 2014 📅

  • 📄 Classification technique for real-time emotion detection using machine learning models – 6 citations 📊 | 2022 📅

  • 📄 Pretreatment of palm fruit by using a conveyor belt microwave prototype – 3 citations 📊 | 2021 📅

  • 📄 Recommendation System for Retail Business Using Customer Segmentation: Case Study of Tuenjai Company in Surat Thani, Thailand – 1 citation 📊 | 2024 📅

Conclusion

Dr. Kritsada Puangsuwan’s dedication to high-impact research, interdisciplinary innovation, and academic mentorship makes him a highly deserving recipient of the Best Scholar Award. His work is not only academically rigorous but also aligned with global sustainability and technological advancement priorities, embodying the essence of scholarly excellence in the 21st century.