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Professor Hsun-Ping Hsieh Receives ACM KDD 2024 Test of Time Award in Data Science and AI
Professor Hsun-Ping Hsieh of the Department of Electrical Engineering at National Cheng Kung University (NCKU) has received the prestigious ACM KDD （Knowledge Discovery and Data Mining）2024 Test of Time Award, a recognition for impactful research that has stood the test of time over the past decade in the fields of data science and artificial intelligence.
The award was announced during the ACM International Conference on Knowledge Discovery and Data Mining (ACM KDD 2024) held in Barcelona, Spain. This accolade honors research that has made a significant long-term impact on the field of big data analysis and AI knowledge discovery, highlighting Professor Hsieh’s exceptional contributions and influence in these areas over the past ten years.
ACM KDD is the largest international organization dedicated to data mining and knowledge discovery, renowned in artificial intelligence, machine learning, and data science. Each year, the conference attracts top universities (such as Stanford, Illinois, MIT, and Cambridge) and leading global companies (like NVIDIA, Google, Facebook, and Microsoft), with thousands of paper submissions and a very low acceptance rate. Professor Hsieh’s award-winning research, conducted in collaboration with the Microsoft Asia Research and Development Center, introduced innovative AI algorithms and machine training frameworks capable of accurately estimating environmental data across extensive urban areas. This research effectively addresses issues related to insufficient sensor deployment and energy consumption in smart cities, with applications in air quality, noise pollution, traffic congestion, tourism flow, public grievances, crime rates, and disease transmission—key issues for sustainable environments. This pioneering work has not only led innovations in academia over the past decade but continues to influence the development directions and technical applications in the realm of spatiotemporal big data analysis and AI.
The ACM KDD Test of Time Award recognizes previously published academic papers or research outcomes that, upon evaluation over time, have had a profound impact on contemporary academic research and industry applications. Professor Hsieh’s outstanding research achievements and long-term contributions to the fields of AI and data science have rightfully earned him this honor. His recent research continues to focus on the key challenges of applying AI and data science across domains, particularly in dynamically handling large-scale data and developing AI technologies for real-time analysis and precise interpretation in vast urban environments. His proposed algorithms and model innovations have made breakthrough advances in improving the accuracy and efficiency of AI interpretation, addressing many technical and policy challenges in urban governance. These research findings have had a substantial impact in academia and have been widely applied to practical industry problems, such as semiconductor process defect detection, branch location recommendations for banks, and medical MRI image interpretation. As a result, Professor Hsieh was named one of the Top 100 Most Influential Scholars in Artificial Intelligence (Data Mining) by the internationally recognized academic influence analysis platform AMiner in 2023, the only scholar from Taiwan to receive this distinction.
The awarding of the Test of Time Award not only affirms Professor Hsieh's past research contributions but also celebrates his tireless efforts and professional contributions over the years. His research continues to maintain its influence, demonstrating that it is both forward-looking and capable of consistently leading advancements in the AI field. This honor also highlights the academic strength and impact of NCKU in artificial intelligence and data science. Professor Hsieh has always adhered to the philosophy of integrating academic research with practical applications, dedicating himself to cultivating the next generation of data science and AI talent. His accomplishments extend beyond research to teaching and mentoring graduate students, nurturing many outstanding scholars and industry professionals.
The award was announced during the ACM International Conference on Knowledge Discovery and Data Mining (ACM KDD 2024) held in Barcelona, Spain. This accolade honors research that has made a significant long-term impact on the field of big data analysis and AI knowledge discovery, highlighting Professor Hsieh’s exceptional contributions and influence in these areas over the past ten years.
ACM KDD is the largest international organization dedicated to data mining and knowledge discovery, renowned in artificial intelligence, machine learning, and data science. Each year, the conference attracts top universities (such as Stanford, Illinois, MIT, and Cambridge) and leading global companies (like NVIDIA, Google, Facebook, and Microsoft), with thousands of paper submissions and a very low acceptance rate. Professor Hsieh’s award-winning research, conducted in collaboration with the Microsoft Asia Research and Development Center, introduced innovative AI algorithms and machine training frameworks capable of accurately estimating environmental data across extensive urban areas. This research effectively addresses issues related to insufficient sensor deployment and energy consumption in smart cities, with applications in air quality, noise pollution, traffic congestion, tourism flow, public grievances, crime rates, and disease transmission—key issues for sustainable environments. This pioneering work has not only led innovations in academia over the past decade but continues to influence the development directions and technical applications in the realm of spatiotemporal big data analysis and AI.
The ACM KDD Test of Time Award recognizes previously published academic papers or research outcomes that, upon evaluation over time, have had a profound impact on contemporary academic research and industry applications. Professor Hsieh’s outstanding research achievements and long-term contributions to the fields of AI and data science have rightfully earned him this honor. His recent research continues to focus on the key challenges of applying AI and data science across domains, particularly in dynamically handling large-scale data and developing AI technologies for real-time analysis and precise interpretation in vast urban environments. His proposed algorithms and model innovations have made breakthrough advances in improving the accuracy and efficiency of AI interpretation, addressing many technical and policy challenges in urban governance. These research findings have had a substantial impact in academia and have been widely applied to practical industry problems, such as semiconductor process defect detection, branch location recommendations for banks, and medical MRI image interpretation. As a result, Professor Hsieh was named one of the Top 100 Most Influential Scholars in Artificial Intelligence (Data Mining) by the internationally recognized academic influence analysis platform AMiner in 2023, the only scholar from Taiwan to receive this distinction.
The awarding of the Test of Time Award not only affirms Professor Hsieh's past research contributions but also celebrates his tireless efforts and professional contributions over the years. His research continues to maintain its influence, demonstrating that it is both forward-looking and capable of consistently leading advancements in the AI field. This honor also highlights the academic strength and impact of NCKU in artificial intelligence and data science. Professor Hsieh has always adhered to the philosophy of integrating academic research with practical applications, dedicating himself to cultivating the next generation of data science and AI talent. His accomplishments extend beyond research to teaching and mentoring graduate students, nurturing many outstanding scholars and industry professionals.
Professor Hsun-Ping Hsieh has received the prestigious ACM KDD 2024 Test of Time Award in the field of international data science and artificial intelligence, recognizing research that has stood the test of time and maintained significant influence over the past decade.
ACM KDD (Knowledge Discovery and Data Mining) is the largest international organization for data mining and knowledge discovery in the world, renowned in the fields of artificial intelligence, machine learning, and data science.
The awarding of the Test of Time Award is not only a high recognition of Professor Hsieh's past research work but also a commendation of his years of relentless effort and professional contributions.
