Jiahao Fan | Agricultural and Biological Sciences | Best Researcher Award

Posted on by Phenomenological Research Awards

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.

Lwin Saing | Plants Taxonomy | Best Researcher Award

Posted on by Phenomenological Research Awards

Prof. Lwin Saing | Plants Taxonomy | Best Researcher Award

Professor at  Ministry of Higher Education,Myanmar | Myanmar

Prof. Lwin Saing is a highly accomplished botanist and academic leader serving at the Ministry of Higher Education, Myanmar, and the Department of Botany, Mohnyin University. She holds a Ph.D. in Botany with a specialization in Plant Taxonomy and Evolution from the University of Yangon, where her doctoral research focused on the taxonomy and systematics of wild cereal species in Myanmar’s Tanintharyi coastal region. With over two decades of teaching and research experience, she has contributed significantly to advancing the understanding of Myanmar’s diverse flora through her expertise in taxonomy, systematics, and environmental conservation. Her extensive research encompasses wild plants taxonomy, evolutionary studies of grasses and cereals, and the conservation of endangered species. Prof. Lwin Saing has led and collaborated on numerous research projects under the Ministry of Higher Education, focusing on biodiversity conservation, endangered species classification, and ecological sustainability. She has published widely in national and international journals, including MDPI’s Plants, and has received several prestigious awards recognizing her scientific excellence, such as multiple Best Research Awards from the Ministry of Higher Education and distinguished recognitions from major universities in Myanmar. She has also supervised a large number of postgraduate theses, contributing to the development of future researchers in taxonomy and environmental science. In addition to her research, she actively participates in regional academic initiatives, including the South and Southeast Asian University Network, and represents Myanmar in international biodiversity programs. Her involvement in SEAMEO and UNESCO workshops reflects her commitment to advancing sustainable education and promoting ecological awareness. Prof. Lwin Saing’s work bridges taxonomy, ecology, and conservation, playing a vital role in preserving Myanmar’s botanical heritage while contributing to global plant science. Through her research, mentorship, and leadership, she continues to inspire a new generation of botanists, positioning herself as a key figure in Southeast Asia’s efforts toward sustainable biodiversity management and scientific innovation in plant taxonomy.

Profile: Orcid | Researchgate 
Featured Publication:

Saing, L. M. (2025). Evolutionary trends of some wild cereal from In-Daw-Gyi Lake, Mohnyin Township, Kachin State. Myanmar Academy of Arts and Science Journal, 24(1).

Saing, L. M. (2024). The differences in morphological characters between some wild species of genus Mussaenda Burm. ex L. Universities Research Journal, 14(5).

Saing, L. M. (2023). Significant differences in morphological characters of Poaceae and Cyperaceae families. Myanmar Academy of Arts and Science Journal, 22(1).

Saing, L. M. (2023). Studying the characters of taxonomy and evolution in giant grass and some crops derived from grass. Mohnyin University Research Journal, 3(2).

Saing, L. M. (2022). Distinct spot characters of some variegated foliage leaves species in Mohnyin University campus. Mohnyin University Research Journal, 2(2).