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 📚

Rida Javed's academic journey began in Faisalabad, Pakistan, where she completed her Secondary and Higher Secondary School Certificates. Her passion for plant sciences led her to pursue a Bachelor of Science at Punjab College of Science, followed by a Master's degree in Botany at the University of Agriculture, Faisalabad. During her Master's, Rida's research focused on the "Distribution of Panicoideae in Faisalabad region," which solidified her foundation in plant biology and research methodologies.

PROFESSIONAL ENDEAVORS 🧪

Rida's professional career took a significant leap when she joined Kwangwoon University in Seoul, South Korea, as a Ph.D. researcher. Her research focuses on innovative plant stress biology, particularly the effects of plasma-treated water and high-power microwave on plants. Throughout her academic and research journey, she has developed expertise in a wide range of techniques, including PCR Expression Analysis, Histochemical Staining, and Metabolites Profiling. Her work experience also includes roles as a Principal Consultant in Data Science at Earth Now Private Limited.

CONTRIBUTIONS AND RESEARCH FOCUS 🌾

Rida's research has primarily centered on enhancing plant growth and tolerance to salinity stress, a critical issue exacerbated by climate change. Her Ph.D. thesis, "Enhancement of Plant Growth and Salinity Tolerance by Plasma-Treated Water and High-Power Microwave," investigates the Botantist physiological and molecular mechanisms underlying plant responses to these treatments. Her innovative approach combines plasma technology and microwave treatments to improve plant resilience, making significant strides in sustainable agriculture and environmental science.

ACCREDITATIONS AND RECOGNITION 🏆

Throughout her career, Rida has presented her findings at numerous international conferences and seminars, showcasing her research on plasma-treated water and its impact on plants. Notably, she has been an active participant in the International Conference on Microelectronics and Plasma Technology, the International Symposium on Plasma Bioscience, and the Korean Vacuum Society Annual Conferences. Her Botantist presentations and publications have earned her recognition in the scientific community for her groundbreaking work in plant science.

IMPACT AND INFLUENCE 🌍

Rida's research has had a profound impact on the field of plant stress biology, particularly in understanding and mitigating the effects of salinity stress on crops. Her innovative use of plasma-treated water and high-power microwave has opened new avenues for improving crop resilience Botantist and productivity, offering practical solutions to global agricultural challenges. Her work contributes to the broader goal of sustainable agriculture and environmental conservation, making a significant difference in the lives of farmers and communities.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Rida Javed's legacy lies in her pioneering contributions to plant stress biology and her commitment to advancing sustainable agricultural practices. Her work has set a new standard for the application of advanced technologies in plant science, and she continues to explore new frontiers in her field. As she progresses in her career, Rida aims to further enhance our understanding of plant responses to environmental stresses and develop innovative solutions for a more sustainable and resilient future.