Heuisoo Kim | Agricultural and Biological Sciences | Best Researcher Award

Posted on by Phenomenological Research Awards

Prof. Heuisoo Kim | Agricultural and Biological Sciences | Best Researcher Award 

Biological Sciences at Pusan National University | South Korea

Prof. Heuisoo Kim is a prominent academic leader and influential researcher in the biological sciences, widely recognized for his significant contributions to genomics, molecular genetics, phylogeny, marine biology, and bioinformatics. He completed his Ph.D. in Genomics from Kyoto University, where he developed expertise in molecular analyses related to primate genetics, followed by an M.S. and B.S. in Biology from Pusan National University. His early postdoctoral work at leading institutes, including the Weizmann Institute of Science and the University of Oxford, provided a strong foundation for his long-standing academic career. Since joining Pusan National University as a professor, he has played key roles in advancing both research and academic leadership, including serving as Dean of the College of Natural Sciences and as President of the Genetics Society of Korea. His research portfolio is diverse and impactful, spanning the study of transposable elements, microRNA evolution, regulatory non-coding RNAs, endogenous retroviruses, host–pathogen interactions, and genome structure variations. He has published extensively on topics such as viral infection mechanisms in aquatic organisms, alternative splicing events induced by genomic integrations, enhancer functions of retroelement-derived microRNAs, and biomolecular dynamics associated with cancer progression. His work appears in high-impact journals across molecular biology, evolutionary genetics, aquaculture biotechnology, and immunology. With 4,659 citations by 3,884 documents, 299 published works, and an h-index of 36, his scholarly output reflects sustained excellence and global influence. Beyond research, he has contributed to national scientific development through roles such as Director of the Division of Life Sciences at the National Research Foundation of Korea and has been recognized with multiple prestigious national and international awards for outstanding research and academic service. His ongoing work continues to push the boundaries of molecular and genomic science, offering new insights into biological complexity and applied biotechnology. Prof. Heuisoo Kim’s career exemplifies dedication to advancing scientific knowledge, fostering collaborative research environments, and shaping the next generation of innovation in agricultural and biological sciences.

Profile: Scopus | Orcid

Featured Publications:

  • Kim H-S.,Hsa-miR-422a Originated from Short Interspersed Nuclear Element Increases ARID5B Expression by Collaborating with NF-E2. Molecules and Cells, 45(7), 465–478, 2022.

  • Kim H-S.,Z-DNA–Containing Long Terminal Repeats of Human Endogenous Retrovirus Families Provide Alternative Promoters for Human Functional Genes. Molecules and Cells, 45(8), 522–530, 2022.

  • Kim H-S.,Human Endogenous Retrovirus-H-Derived miR-4454 Inhibits the Expression of DNAJB4 and SASH1 in Non-Muscle-Invasive Bladder Cancer. Genes, 14, 1410–1422, 2023.

  • Kim H-S.,,Human Endogenous Retrovirus (HERV)-K env Gene Knockout Affects Tumorigenic Characteristics of nupr1 Gene in DLD-1 Colorectal Cancer Cells. International Journal of Molecular Sciences, 22(8), 3941, 2021.

  • Kim H-S.,A Study of Transposable Element–Associated Structural Variations (TASVs) Using a De Novo Assembled Korean Genome. Experimental & Molecular Medicine, 53, 615–630, 2021.

  • Kim H-S.,Disposable microRNA biosensors based on dual-role polymer-dispersed silver nanowires for diagnosis of viral hemorrhagic septicemia virus infection in olive flounder. Aquaculture, 580, 740287–780294, 2024.

  • Kim H-S.,Exploring the Key Signaling Pathways and ncRNAs in Colorectal Cancer. International Journal of Molecular Sciences, 25, 4548–4577, 2024.

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.