Mr. Ardan Zhanegizov | Biomedicine | Research Excellence Award

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Mr. Ardan Zhanegizov | Biomedicine | Research Excellence Award

Satbayev University | Kazakhstan

Mr. Ardan Zhanegizov is an emerging researcher in Machine Learning and Computer Vision specialist based in Almaty, Qazaqstan, with strong academic and practical experience in AI-driven data analysis and software engineering. He holds a Master’s degree in Computer Science from the University of Wollongong, Australia, supported by the Bolashak Scholarship, and a Bachelor’s degree in Computer Science from Nazarbayev University. His expertise spans machine learning, computer vision, data mining, Biomedicine and deep learning, with hands-on experience using PyTorch, TensorFlow, Keras, and OpenCV. His capstone project focused on Sign Language Recognition, achieving high accuracy on ASL and Auslan datasets, alongside research in Human Action Recognition and sentiment analysis. Currently working as a Machine Learning Engineer at the Institute of Information and Computational Technologies, he contributes to AI models for medical image analysis and signal processing. His background also includes cloud deployment, DevOps practices, and prior roles in software quality assurance and research assistance, with a published article on facial expression recognition using edge computing.

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Featured Publications

Dr. Azhar Imran | Healthcare | Young Scientist Award

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Dr. Azhar Imran | Healthcare | Young Scientist Award

Beijing University of Technology | China

Dr. Azhar Imran Mudassir is an Associate Professor in the Department of Computer Science at Beijing University of Technology, China, with many years of academic and research experience. His expertise spans Artificial Intelligence, Data Science, and Machine Learning, with a strong focus on real-world applications in healthcare and cybersecurity. Dr. Imran has published more than 85 research articles in high-impact international journals and conferences and has delivered keynote speeches at several prestigious global events, including ICBDDM-24, ICCTEC, CCET25, CVIT-24, ICDSP24, and CVIT-23. He is a Senior Member of IEEE and actively serves on academic committees and editorial boards of reputed journals. Throughout his career, he has received multiple honors, including the Outstanding Graduate Award and Best Researcher Award from BJUT, the Embassy Honored Award from the Pakistan Embassy in Beijing, and the Excellent International Students Award from China’s Ministry of Education. His research and teaching contributions reflect a strong commitment to advancing AI-driven technologies and academic excellence.

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Featured Publications

Dr. Paolo Ingallinella | Diagnostics | Best Researcher Award

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Dr. Paolo Ingallinella | Diagnostics | Best Researcher Award

Diasorin | Italy

Dr. Paolo Nunzio Ingallinella is a distinguished biotech director at Diasorin Italia Spa, with over many years of expertise in peptide and protein chemistry for therapeutic and diagnostic applications. he holds a master’s degree in chemistry from the university of naples and began his career at irbm, where he contributed to groundbreaking antiviral research, developing potent hcv peptide inhibitors and an hiv fusion inhibitor that advanced antiviral drug design. He has been leading innovative diagnostic projects at diasorin, including the development of the first automated immunoassays for hdv and hev antibodies and Diagnostics broad-spectrum legionella antigen detection systems. his extensive research portfolio includes 25 completed or ongoing projects, 23 journal publications indexed, and 20 patents published or under process. According to scopus metrics, Dr. Ingallinella has an h-index of 19 with a total of 1,616 citations, reflecting his strong influence in the biotechnology and immunodiagnostics fields. his work focuses on recombinant protein and monoclonal antibody development, biomarker discovery, and molecular biology applications in diagnostics and therapeutic peptide chemistry. A member of the Italian peptide society, Dr. Ingallinella continues to shape the landscape of modern biotechnology through innovation and scientific leadership.

Profile: Scopus

Featured Publications

Ingallinella, P. N., et al. (2025). The LIAISON® Legionella Urinary Ag assay: A novel high-throughput, fully automated dual-antigen detection method with improved sensitivity and expanded Legionella species and serogroup coverage. Respiratory Investigation.

Ingallinella, P. N., et al. (2014). Development of a neuromedin U–human serum albumin conjugate as a long-acting candidate for the treatment of obesity and diabetes: Comparison with the PEGylated peptide. Journal of Peptide Science.

Ingallinella, P. N., et al. (2013). A PEGylated analog of the gut hormone oxyntomodulin with long-lasting antihyperglycemic, insulinotropic, and anorexigenic activity. Bioorganic & Medicinal Chemistry.