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USD 15 /hr

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Hire Dr. Leena N.

India

USD 15 /hr

Experienced Researcher (PhD) | AI, Machine Learning, Data Science | Publications in IEEE, Springer & Scopus Journals

Profile Summary

AI & ML Researcher (PhD) with 14+ years of academic experience. Specialized in healthcare analytics, medical image analysis, and explainable AI. Published in Springer, IEEE, Web of Science, and Scopus journals. Open to research collaborations in AI and healthcare analytics.

Subject Matter Expertise

• ★ Predictive Modeling & Analytics
• ★ Deep Learning
• ★ Computer Vision
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Algorithm Design
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Machine Learning
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Business Analytics
• ☆ Fuzzy Logic
• ☆ Publishing
• ☆ R

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing, Copywriting, General Proofreading & Editing

Research Market Research, User Research, Feasibility Study, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Prototyping

Work Experience

SRM Institute of Science and Technology

- Present

Assistant Professor (Full Time)

SRM Institute Of Science & Technology ( Deemed University)

September 2024 - Present

ASSISTANT PROFESSOR

Vel Tech Ranagrajan Dr. Sagunthala R&D Institute of Science and Technology

June 2023 - June 2024

Technical Trainer

LeewayHertz Technologies Pvt. Ltd, India

March 2022 - May 2023

Technical Support Executive

Geo Mines Engineering Pvt. Ltd, India

February 2012 - March 2018

Senior Lecturer

Rajalakshmi Engineering College, Chennai, India

June 1999 - November 2004

Education

PhD

Dr.M.G.R.Eucational and Research Institute

July 2019 - August 2022

Certifications

• Data Science & AI

  Intellipaat

  September 2022 - Present

Publications

JOURNAL ARTICLE

Murugadoss, R., Nesamani, S.L., Banushri, A., Monica, K.M., Vairavel, M., Rajini, S.N.S., Gopi, P.(2024). A review of using deep learning from an ecology perspective to address climate change and air pollution . Global Nest Journal. 26. (2).

Murugadoss, R., Nesamani, S. Leena, Banushri, A., Monica, K. M., Vairavel, M., Rajini, S. Nirmal Sugirtha, P., Gopi (2024). A review of using deep learning from an ecology perspective to address climate change and air pollution . Global Nest Journal.

Leena Nesamani ACCOMPLISHMENT OF IoT IN THE FIELD OF HEALTHCARE. Impact of Smart Technologies and Artificial Intelligence (AI) Paving Path Towards Interdisciplinary Research in the Fields of Engineering, Arts, Humanities, Commerce, Economics, Social Sciences, Law and Management-Challenges and Opportunities.

Leena Nesamani Brain Tumor Segmentation from MRI Images using Deep Learning-based CNN with SVM Classifier.

BOOK CHAPTER

Bajaj, S.H., Nesamani, S.L., Dharmalingam, G., Jeeva, R., Niveditha, V.R.(2024). The Artificial Intelligence-Based Revolution in Material Science for Advanced Energy Storage . Introduction to Functional Nanomaterials. p. 85-92.

Leena, N.S., Rajini, S.N.S.(2022). Predictive modeling for classification of breast cancer dataset using feature selection techniques . Research Anthology on Medical Informatics in Breast and Cervical Cancer. p. 166-177.

S. Leena Nesamani, S. Nirmala Sugirtha Rajini, M. S. Josphine, J. Jacinth Salome(2021). Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine . Advances in Automation, Signal Processing, Instrumentation, and Control. p. 371--383. Springer Nature Singapore

Leena Nesamani S., S. Nirmala Sigirtha Rajini(2021). Predictive Modeling for Classification of Breast Cancer Dataset Using Feature Selection Techniques . Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies. p. 204--215. {IGI} Global

Leena Nesamani, S., Nirmala Sigirtha Rajini, S.(2021). Predictive modeling for classification of breast cancer dataset using feature selection techniques . Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies. p. 204-215.

LeenaNesamani S, NirmalaSugirthaRajini S(2020). Evaluation of Ensemble Machines in Breast Cancer Prediction . Intelligent Systems and Computer Technology. {IOS} Press

CONFERENCE PAPER

P.T. Kasthuri Bai, D. Lissy, S. Leena Nesamani (2023). Role of IoT in Precision Agriculture and Detecting and Classifying Rice Leaf Diseases using CNN Method of Deep Learning . 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE).

S. L. Nesamani, D. Lissy, S. Sumathy and S. N. S. Rajini, "Breast Cancer Diagnosis in Radiology Images Using Transfer Learning Technique," 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/ICCAMS60113.2023.10526195. keywords: {Training;Logistic regression;Transfer learning;Computer architecture;Radiology;Mammography;Breast cancer;Breast Cancer;Transfer Learning;Mammogram;VGG19;ResNet50;Xception;Feature extraction;Logistic Regression;Classification;Malignant;Benign}, .

Bai, P.T.K., Lissy, D., Nesamani, S.L.(2023). Role of IoT in Precision Agriculture and Detecting and Classifying Rice Leaf Diseases using CNN Method of Deep Learning . 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023.

Rajini, S.N.S., Nesamani, S.L., Abirami, P., Anuradha, K., Soundharyadevi, R., Marappan, R.(2022). Dermatitis Diagnosis - Modeling and Analysis using Machine Learning . Proceedings - 2022 2nd International Conference on Innovative Sustainable Computational Technologies, CISCT 2022.

Leena Nesamani, S., Nirmala Sugirtha Rajini, S., Josphine, M.S., Jacinth Salome, J.(2021). Deep Learning-Based Mammogram Classification for Breast Cancer Diagnosis Using Multi-level Support Vector Machine . Lecture Notes in Electrical Engineering. 700. p. 371-383.

Sunori, S.K., Kumar, S., Anandapriya, B., Nesamani, S.L., Maurya, S., Singh, M.K.(2021). Machine Learning Based Prediction of Soil pH . Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021. p. 884-889.

BOOK

Leena Nesamani, S., Nirmala Sugirtha Rajini, S.(2020). Evaluation of ensemble machines in breast cancer prediction . Advances in Parallel Computing. 37. (1). p. 391-395.