Assistant Professor | SRM Institute of Science and Technology | India
Y. Suganya, M.E., (Ph.D.), is a dedicated academic professional with over 14 years of teaching experience in Computer Science and Engineering. Her research focuses on machine learning and deep learning techniques for ovarian cyst classification and prediction. She has contributed significantly to academia through publications, conference presentations, and departmental leadership.
Professional profile👤
Google Scholar
Strengths for the Awards✨
- Research Excellence: Y. Suganya has a strong research background, with a focus on machine learning and deep learning applications in medical imaging, particularly ovarian cyst classification. Her Ph.D. work aligns well with contemporary research trends in AI-driven healthcare.
- Publication Record: She has published extensively in reputable journals and conferences, including Springer and IEEE Xplore, with multiple papers indexed in Scopus. These publications demonstrate the depth and quality of her research.
- Teaching and Mentorship: Nearly 15 years of teaching experience, with a proven track record of producing 100% results in several semesters, indicates her commitment to education and mentorship.
- Leadership and Service: She has taken on significant responsibilities such as coordinating accreditation processes (NBA), acting as Chief Superintendent for examinations, and serving as a journal reviewer. These roles highlight her leadership skills and service to the academic community.
- Technical Proficiency: Proficiency in programming languages like Python, C, C++, and Java supports her research in machine learning and data analysis, making her technically well-equipped.
🎓 Education
- Ph.D. (Computer Science and Engineering)
- Annamalai University, Tamil Nadu, India
- Thesis: “Classification and Prediction of Ovarian Cysts Using Machine Learning and Deep Learning Techniques” (Thesis Submitted: October 16, 2023)
- Master of Engineering (Computer Science and Engineering)
- MIET College of Engineering (Affiliated to Anna University), Tamil Nadu, India (June 2011) – CGPA: 8.22 (First Class)
- Bachelor of Engineering (Computer Science and Engineering)
- Royal College of Engineering (Affiliated to Anna University), Tamil Nadu, India (April 2005) – Percentage: 66.6% (First Class)
💼 Experience
- Assistant Professor
- Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
- Lecturer
- Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)
🔬 Research Interests On Engineering
- Machine Learning and Deep Learning
- Medical Image Processing
- Ovarian Cyst Classification and Prediction
- Artificial Intelligence in Healthcare
🏆 Awards
- Annual Membership in ACM Professional Membership (ID: 5666897)
- Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
- Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
- Coordinated NBA Accreditation Work for the Computer Science Department
📝 Publications
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Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
Year: 2023
Citations: 17
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Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
Authors: Y Suganya, S Ganesan, P Valarmathi
Year: 2022
Citations: 11
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Title: Classification of medical x-ray images for automated annotation
Authors: S Ganesan, TS Subashini
Year: 2014
Citations: 10
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Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
Year: 2021
Citations: 7
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Title: Classification of X-rays using statistical moments and SVM
Authors: S Ganesan, TS Subashini, K Jayalakshmi
Year: 2014
Citations: 7
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Title: An approach toward the efficient indexing and retrieval on medical X-ray images
Authors: S Ganesan, TS Subashini
Year: 2013
Citations: 7
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Title: A content based approach to medical X-Ray image retrieval using texture features
Authors: S Ganesan, TS Subashini
Year: 2014
Citations: 6
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Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
Authors: BY Krishna, Y Suganya
Year: 2011
Citations: 5
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Title: Fuzzy based detection and swarm based authenticated routing in MANET
Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
Year: 2014
Citations: 3
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Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
Authors: Y Suganya, S Ganesan, P Valarmathi
Year: 2022
Citations: 2
📊 Conclusion
Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.
