Shen Zhenda

Graduate, College of Science
National First Prize, Contemporary Undergraduate Mathematical Contest in Modeling

“Learning how to apply knowledge to real-world problems is my priority.”

Zhenda (left) has built a strong foundation in computing mathematics at CityUHK.

Zhenda participated in a research project at the University of Cambridge in the UK.

Zhenda (right) and his team won the National First Prize at the Contemporary Undergraduate Mathematical Contest in Modeling.

With a strong passion for applying knowledge to real-world problems, Shen Zhenda has made outstanding accomplishments in his academic life, culminating in his admission to the Harvard Graduate School of Arts and Sciences.

Thanks to the world-class facilities and well-designed course curriculum at CityUHK, Zhenda has built a strong foundation in computing mathematics, equipping him to bridge the gap between academia and practical problem-solving and to excel in his academic pursuits.

In 2022, Zhenda assumed the leadership of a team competing in the Contemporary Undergraduate Mathematical Contest in Modeling, an annual mathematics contest for undergraduates from around the world, organised by the China Society for Industrial and Applied Mathematics.

Their groundbreaking algorithm for a bearing-only passive location for unmanned aerial vehicles (UAVs) in formation flight, characterised by rapid convergence and minimal error, earned them the National First Prize, distinguishing them as the sole representatives from Hong Kong among 49,424 participating teams and demonstrating the outstanding calibre of their efforts.

In 2023, because of his exceptional aptitude, Zhenda was recommended by one of his professors at CityUHK to join a prestigious research project at the University of Cambridge in the UK for a month, offering him a valuable opportunity to collaborate with researchers from around the world. He and his team focused on enhancing the performance of implicit neural representation (INR), a powerful tool to parameterise continuous signals in computer vision, for solving inverse problems by calculating from a set of observations to figure out the causal factors behind them.

The significance of their novel innovative computation techniques led to an invitation for Zhenda to present their findings at the 10th International Congress on Industrial and Applied Mathematics (ICAIM 2023), a renowned international congress in the field of applied mathematics, held under the auspices of the International Council for Industrial and Applied Mathematics.

Through these transformative experiences, Zhenda has nurtured a vision to utilise his mathematical knowledge and skills to contribute to the global community, tackle complex problems in our increasingly intricate world, and have a real-life impact.

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