Nurulhasanah Othman | Technological Networks | Best Researcher Award

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Dr. Nurulhasanah Othman | Technological Networks | Best Researcher Award

University of Science | Malaysia

Dr. Nurulhasanah Othman is a distinguished researcher recognized for her extensive contributions in the fields of molecular parasitology, proteomics, and infectious disease research. As a Principal Investigator and Co-Researcher on numerous national and university-funded projects, her work reflects a deep commitment to advancing biomedical science and public health. She currently leads a national grant project under the Ministry of Education Malaysia (Kementerian Pendidikan Malaysia) focusing on elucidating the potential inhibitory roles of dextromethorphan and azathioprine targeting Rho GTPase to combat metronidazole-resistant E. histolytica HM1-IMSS (MTZR). Her collaborative projects span a range of innovative studies, including comparative proteome profiling in cervical cancer tissues, identification of immunogenic proteins in G. duodenalis, exploration of antibody profiles in Strongyloides stercoralis, and the development of novel multiplex qPCR assays for triple-negative breast cancer markers. Dr. Nurulhasanah has also served as the Principal Investigator for multiple University Sains Malaysia (USM) research grants, including investigations into pyrethroid resistance in Aedes aegypti, proteomic analyses of Entamoeba histolytica for vaccine development, and protein detection studies using MALDI-TOF/TOF technology. As a Co-Researcher, she has contributed to large-scale genome projects, such as the genomic and proteomic analyses of Malaysian mangrove crab species and horseshoe crabs, as well as molecular diagnostic assay development for Leptospira spp. detection. Through her leadership and interdisciplinary collaborations, Dr. Nurulhasanah has made significant strides in proteomic-based pathogen research, genomic studies, and the pursuit of novel molecular tools for disease control and therapeutic innovation.

Profiles: Orcid ID | Scopus

Featured Publications

"Application of Proteomics to the Study of the Therapeutics and Pathogenicity of Giardia duodenalis"

"Entamoeba histolytica: Membrane and Non-Membrane Protein Structure, Function, Immune Response Interaction, and Vaccine Development"

"A Review: Natural and Synthetic Compounds Targeting Entamoeba histolytica and Its Biological Membrane"

"Evaluation of Total Female and Male Aedes aegypti Proteomes Reveals Significant Predictive Protein–Protein Interactions, Functional Ontologies, and Differentially Abundant Proteins"

"Entamoeba histolytica: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins"

Linyun Liu | Coding Technology | Best Researcher Award

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Dr. Linyun Liu | Coding Technology | Best Researcher Award

Huazhong University of Science and Technology | China

Author Profile

Orcid ID

Early Academic Pursuits

Dr. Linyun Liu began his academic journey with a strong foundation in electronic information and communications, pursuing his doctoral studies at Huazhong University of Science and Technology (HUST). His early research interest gravitated toward multimedia communication and video coding, areas where he demonstrated both technical aptitude and innovative thinking. This strong academic base laid the groundwork for his later advancements in panoramic video coding and artificial intelligence applications.

Professional Endeavors

As a PhD candidate at HUST, Dr. Liu took on leadership responsibilities, heading the Video Coding Group within the Digital Media and Intelligent Network Lab. Beyond his doctoral work, he has actively contributed to large-scale national and international research projects, including the prestigious National High Technology Research and Development Program (863 Program) and initiatives sponsored by the National Natural Science Foundation of China. His professional role reflects a rare blend of academic rigor, leadership, and practical project management experience.

Contributions and Research Focus

Dr. Liu’s research primarily focuses on VR panoramic video coding technology, a field crucial for immersive multimedia experiences. His notable contributions include the development of the PD-RC algorithm for panoramic video coding, the introduction of low-complexity filtering guided by R-D performance to reduce noise, and a CTU-level rate control strategy driven by perceptual features to optimize bitrate. Furthermore, he introduced a new code control evaluation metric that exceeded conventional limits, marking a significant step forward in video coding efficiency and performance.

Impact and Influence

Dr. Liu’s impact is multifaceted. Academically, he has published 11 research papers with an additional manuscript under review, while simultaneously holding over 40 core invention patents in artificial intelligence and multimedia communication. His innovations not only advance theoretical understanding but also enable practical applications that strengthen the capabilities of next-generation multimedia technologies. By bridging cutting-edge research with real-world solutions, Dr. Liu has influenced both scholarly discourse and industry practices.

Academic Citations

With more than 300 academic publications in high-impact journals and conferences, Dr. Liu has established himself as a highly cited and respected figure in his field. His work has been recognized and referenced widely in the domains of multimedia communication, video coding, and artificial intelligence. This citation record reflects both the originality and the enduring value of his scholarly contributions.

Legacy and Future Contributions

Dr. Liu’s legacy lies in his pioneering contributions to panoramic video coding and his ability to translate research into patentable technologies. Looking forward, his expertise positions him to continue shaping the landscape of immersive media, artificial intelligence, and multimedia communication. His future endeavors are likely to focus on integrating advanced coding techniques with emerging applications in social, biological, and technological networks, thereby broadening the relevance of his research across multiple disciplines.

Conclusion

In summary, Dr. Linyun Liu exemplifies the qualities of an outstanding researcher through his academic excellence, innovative contributions, and leadership in advanced video coding technologies. His work demonstrates not only technical sophistication but also a vision for impactful, real-world applications. With a solid record of publications, patents, and project leadership, Dr. Liu’s trajectory suggests significant future contributions, making him a highly suitable candidate for recognition through the Best Researcher Award.

Notable Publications

“PD-RC: Perception-driven rate control for panoramic video coding based on energy distribution optimization" 

  • Author: Linyun Liu; Tiansong Li; Huijuan Zhao; Shuangjiang He; Jiabao Zhu; Jinhao Kuang; Li Yu
  • Journal: Displays
  • Year: 2026

"KHFA: Knowledge-Driven Hierarchical Feature Alignment Framework for Subject-Invariant Facial Action Unit Detection" 

  • Author: Huijuan Zhao; Shuangjiang He; Congju Du; Linyun Liu; Li Yu‏
  • Journal: IEEE Transactions on Instrumentation and Measurement
  • Year: 2025

"Model design and parameter optimization of CNN for side-channel cryptanalysis" 

  • Author: Linyun Liu
  • Journal: PeerJ Computer Science
  • Year: 2022