Dr. Sue Han Lee - Computational Botany - Women Researcher Award

Swinburne University of Technology Sarawak Campus - Malaysia

Author Profile

Early academic pursuits 🎓

Lee Sue Han's academic journey began with a Bachelor of Engineering (Honours) in Electronics Engineering from Multimedia University, Malaysia. Her passion for technology and innovation propelled her to pursue a Master of Engineering in Electrical and Electronics at Shinshu University, Japan. Under the guidance of Professor Kiyoshi Tanaka, she focused on computer vision and machine learning, laying a solid foundation for her future research. Her quest for knowledge culminated in a Doctor of Philosophy in Computer Science & IT at University Malaya, where she further specialized in computer vision and deep learning under the mentorship of Professor Ir. Dr. Chan Chee Seng.

Professional endeavors 🏢

Since February 2020, Lee has served as a Lecturer at Swinburne University of Technology, Sarawak Campus, where she has taken on significant responsibilities, including Head of the Department of Information and Communication Technologies. Her role as an Interdisciplinary AI Research Driver emphasizes her commitment to advancing AI applications across various fields. Prior to this, she gained valuable experience as a Postdoctoral Fellow at INRAE in Montpellier, France, specializing in computational botany, which showcases her diverse expertise and adaptability in research.

Contributions and research focus 🔍

Lee's research is primarily centered on computer vision and deep learning, with a strong emphasis on machine learning applications. She has made significant strides in developing algorithms and techniques that enhance the understanding and analysis of visual data. Her contributions to computational botany highlight the Computational Botany intersection of technology and environmental science, where she explores innovative solutions for plant research through advanced computational methods. Her interdisciplinary approach not only enriches her field but also opens new avenues for research and application.

Accolades and recognition 🏅

Lee Sue Han's contributions to the field have been recognized through her active involvement in professional organizations. As a member of IEEE Young Professionals since 2019, she has engaged with a global community of engineers and technologists. Recently, she was designated a Graduate Technologist by the Malaysian Board Computational Botany of Technologists (MBOT) in 2023, acknowledging her expertise and commitment to the engineering profession. Her achievements reflect her dedication to excellence and her impactful role in the academic and professional landscape.

Impact and influence 🌍

Lee's work significantly influences the fields of computer vision, machine learning, and computational botany. Her research not only advances theoretical knowledge but also has practical implications for various industries, including agriculture and environmental science. By bridging the gap between technology and real-world Computational Botany applications, she contributes to solving pressing global challenges. Her mentorship and leadership at Swinburne University inspire the next generation of engineers and researchers to explore innovative solutions.

Legacy and future contributions 🔮

As Lee Sue Han continues her academic and research endeavors, her legacy is defined by her commitment to interdisciplinary collaboration and technological advancement. Her future contributions are expected to push the boundaries of knowledge in computer vision and AI, particularly in addressing environmental issues and enhancing agricultural practices. Lee's vision for the future is one where technology plays a pivotal role in creating sustainable solutions, and her ongoing work promises to have a lasting impact on both academia and industry.

Notable Publications

How deep learning extracts and learns leaf features for plant classification 2017

Deep-plant: Plant identification with convolutional neural networks 2015

New perspectives on plant disease characterization based on deep learning 2020

Multi-organ plant classification based on convolutional and recurrent neural networks 2018

Attention-based recurrent neural network for plant disease classification 2020

Early academic pursuits 🎓

Mantang Chen embarked on his academic journey by earning a ph.d. from the prestigious huazhong university of science and technology in 2019. his early research laid the foundation for his later work in the field of analytical chemistry and environmental science. his passion for developing innovative methods to solve complex scientific problems was evident during his doctoral studies, where he focused on advancing analytical techniques and improving sample preparation processes.

Professional endeavors 🏢

As an associate researcher at the key laboratory of tobacco chemistry, zhengzhou tobacco research institute of cntc, mantang has played a pivotal role in shaping the research landscape of tobacco science. his expertise in pollution control technologies and advanced analytical methods is highly valued in the industry. his current position allows him to lead cutting-edge research projects that explore novel approaches to analyzing and controlling pollutants, with a focus on tobacco chemistry.

Contributions and research focus 🔬

Mantang's research is centered around the development of new sample preparation methods and analytical techniques for complex systems. his innovative work addresses both environmental and chemical challenges, with applications in pollution control and tobacco chemistry. he has Analytical Chemistry and Environmental Chemistry made significant strides in improving the accuracy and efficiency of analytical processes, which are crucial for industries requiring precise chemical analysis and environmental monitoring.

Accolades and recognition 🏅

Throughout his career, mantang chen has received numerous awards and honors for his outstanding contributions. he was recognized as a "young science and technology talent in the tobacco industry" in the first batch of honorees, and he also received the innovation excellence Analytical Chemistry and Environmental Chemistry award from china national tobacco corporation. these accolades highlight his leadership in scientific innovation and his significant impact on the tobacco industry.

Impact and influence 🌍

Mantang's work has not only advanced the field of analytical chemistry but has also contributed to important environmental solutions, particularly in the tobacco industry. his research on pollution control technologies has helped address key environmental challenges, while his Analytical Chemistry and Environmental Chemistry innovations in sample preparation have improved the precision and effectiveness of chemical analysis. his contributions have influenced both scientific research and practical applications in the industry.

Legacy and future contributions 🔮

Mantang chen’s legacy is built on his commitment to scientific excellence and innovation. as a leader in his field, he is set to continue making significant contributions to analytical chemistry and environmental science. his future research will likely explore new frontiers in pollution control and advanced analytical methods, further enhancing his influence in the industry and leaving a lasting impact on both the scientific community and environmental sustainability efforts.