Dr. Anita Sebasthiyar | Deep Learning | Best Researcher Award
Doctorate at ST. Anne’s College of Engineering and Technology, India
Profiles
Early Academic Pursuits
Dr. Anita Sebasthiyar embarked on her academic journey with a strong foundation in Electronics and Communication Engineering (ECE). Her passion for technology and innovation led her to pursue advanced studies, where she specialized in Digital Image Processing, Machine Learning, Deep Learning Algorithms, and Antenna Design.
Professional Endeavors
With an impressive 16 years of teaching experience, Dr. Anita Sebasthiyar has played a pivotal role in engineering education. She is currently a Professor at St. Anne’s College of Engineering & Technology, where she has been a faculty member since 2009. Over the years, she has served in various capacities, including Associate Professor (2017–2023), Assistant Professor (2013–2017), and Lecturer (2009–2013). Before joining St. Anne’s, she worked as a Lecturer at Annai Velankanni Polytechnic College (2007–2009), contributing significantly to shaping young minds.
Contributions and Research Focus
Dr. Anita Sebasthiyar’s research contributions span across Deep Learning, Image Processing, Antenna Design, and AI-driven medical diagnostics. She has been actively involved in filing and securing patents, with notable inventions such as:
- “Computer Operator Name with Location, Tracking New System” (Patent No. 202241005961 A, 2022)
- “Shoe for Visually Impaired” (Patent No. 424219-001, 2024)
- “A System for Analyzing Single Photon Emission Computed Tomography (SPECT) Images” (Patent No. 202241017033 A, 2024)
Her research has paved the way for technological advancements in healthcare, AI applications, and accessibility solutions.
Impact and Influence
As a resource person, Dr. Anita Sebasthiyar has delivered numerous expert talks and workshops, sharing her knowledge with students, researchers, and industry professionals. Some of her notable sessions include:
- “Basics to Advanced: Machine Learning” (September 2021)
- “Artificial Intelligence in Nursing: Transforming Patient Care” (January 2025)
- “Diagnosing Early Stage of Parkinson’s Disease using JAN Net” (London, October 2024)
She has also played an instrumental role in training students in design thinking, research writing, and innovation.
Academic Contributions and Technical Expertise
Dr. Anita Sebasthiyar is actively involved in academic curriculum development, examination panels, and question paper setting. She served as a Question Paper Setter for EC3551/Transmission Lines and RF Systems at Indira Ganesan College of Engineering and Technology. Additionally, she has led several faculty development programs (FDPs) and workshops on Digital Image Processing using MATLAB, AI Tools, and Biomedical Deep Learning Applications.
Teaching Experience
Throughout her career, Dr. Anita Sebasthiyar has been committed to enhancing the learning experience for students. She has taught a wide range of subjects in Electronics and Communication Engineering, integrating the latest advancements in AI, Deep Learning, and Digital Image Processing into her teaching methodologies.
Recognitions and Awards
Dr. Anita Sebasthiyar’s research excellence has been recognized at prestigious international conferences. She received:
- Best Paper Award at the Fifth International Conference on Bio-Signals, Images, and Instrumentation (2019)
- Best Paper Award at the Ninth International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2023), Norway, for her work on Hybrid Optimal Fine-Tuning in Deep Learning for Parkinson’s Disease Diagnosis
Legacy and Future Contributions
Dr. Anita Sebasthiyar continues to push the boundaries of research and education, mentoring students and researchers in cutting-edge AI-driven medical diagnostics, antenna design, and deep learning applications. As a Coordinator of the MSME Innovative Scheme Incubation Component and UBA, she actively fosters entrepreneurial and research-based learning. Her contributions to engineering education, research, and technological innovations will undoubtedly leave a lasting impact on the academic and industrial landscape, inspiring the next generation of engineers and researchers.
Publications
Modified Exigent Features Block in JAN Net for Analysing SPECT Scan Images to Diagnose Early-Stage Parkinson’s Disease.
- Authors: S Jothi, S Anita, S Sivakumar
- Journal: Current Medical Imaging
- Year: 2023
Improved classification accuracy for diagnosing the early stage of Parkinson’s disease using alpha stable distribution
- Authors: S Anita
- Journal: IETE Journal of Research
- Year: 2023
Mathematical model for early stage identification of Parkinson’s disease using neurotransmitter: GABA
- Authors: S Anita, R Arokiadass
- Journal: International Journal of Information Technology
- Year: 2022
Diagnosis of Parkinson’s disease at an early stage using volume rendering SPECT image slices
- Authors: S Anita, P Aruna Priya
- Journal: Arabian Journal for Science and Engineering
- Year: 2020
Three dimensional analysis of SPECT images for diagnosing early Parkinson’s disease using Radial Basis Function kernel− Extreme learning machine
- Authors: Sebasthiyar Anita, Panchnathan A Priya
- Journal: Current Medical Imaging
- Year: 2019