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

Avivit Levy began her academic journey with a B.Sc. in Computer Science from Bar-Ilan University, graduating Summa Cum Laude in 1995. Simultaneously, she pursued a B.A. in Musicology, also earning Summa Cum Laude honors in 1999. Her early academic excellence was further demonstrated during her M.Sc. studies in Computer Science at Bar-Ilan University, where she graduated Magna Cum Laude in 1998 under the guidance of Dr. Yonatan Aumann.

💻 PROFESSIONAL ENDEAVORS

Levy’s professional career is marked by her tenure at Shenkar College, where she has held various positions in the Department of Software Engineering. Starting as a lecturer in 2003, she progressed to Senior Lecturer by 2010 and became an Associate Professor in 2015. Her roles extended beyond teaching, as she chaired the department and led several key initiatives, including the Analytical Computing/Data and Information Engineering specialization.

📚 CONTRIBUTIONS AND RESEARCH FOCUS

Levy’s research spans multiple facets of computer science, particularly combinatorial pattern matching and string processing. Her work has been published in numerous prestigious conferences and journals, highlighting her contributions to the field. She has also developed algorithms Ecology Informatics addressing complex computational problems, demonstrating her prowess in both theoretical and applied aspects of computer science.

🏆 ACCOLADES AND RECOGNITION

Throughout her academic journey, Levy has received numerous honors, including the President Fellowship for Ph.D. students, multiple Dean’s Prizes, and the Rector’s Prize during her undergraduate studies. Her accolades reflect her consistent academic excellence and contributions to Ecology Informatics the field of computer science.

🌍 IMPACT AND INFLUENCE

Levy’s influence extends beyond her institution. She has been an active member of various program committees, including the Annual Symposium on Combinatorial Pattern Matching and the International Symposium on String Processing and Information Retrieval. Her Ecology Informatics participation in these conferences has helped shape the direction of research in her areas of expertise.

🔍 LEGACY AND FUTURE CONTRIBUTIONS

Levy continues to impact the academic community through her involvement in Shenkar College's AI Center and her leadership of the Software Engineering M.Sc. Program. Her ongoing research and contributions to scholarly activities ensure that her legacy in computer science will endure, inspiring future generations of researchers and students.