Noorul Islam Centre for Higher Education

Education

Ph. D - Information and Communication Engineering, Anna University, Tirunelveli (2015)
M.E - CSE, Noorul Islam College of Engineering (2004)
B. E - CSE, Institute of Road and Transport Technology, Erode (1999)

Experience

Associate Professor, Noorul Islam Centre for Higher Education (2004-12-10 - Present)
Lecturer, NarayanaGuru College of Engineering (2004-03-05 - 2004-03-08)
Lecturer, M. Kumarasamy College of Engineering (2001-06-08 - 2002-09-09)

Journal Publications

Improving Academic Performance and Career Mobility Through Hybrid Clustered Graph Neural Networks by Jisha Isaac and V Mary Amala Bai, Transactions on Emerging Telecommunications Technologies (2025)
Next-generation offloading using hybrid deep learning network for adaptive mobile edge computing by P. Anusha, V. Mary Amala Bai, International Journal of Electrical and Computer Engineering (2025)
Variable Kernel Feature Fusion and Transfer Learning for Pap Smear Image- Based Cervical Cancer Classification by Priya S. A. , Mary Amala Bai. V, SSRG International Journal of Electronics and Communication Engineering (2024)
Beyond Pixels: Exploring Deep Learning Methods for Image Forgery Detection by Pramod Chathampally, V. Mary Amala Bai, SSRG International Journal of Electronics and Communication Engineering (2024)
Optimizing Breast Cancer Recurrence Forecasting Using ANOVA Feature Selection and GRU Models by Arathi Chandran R I, V Mary Amala Bai, SSRG International Journal of Electronics and Communication Engineering (2024)
Deep Neural Network for the Detection and Classification of Spontaneous Abortion Associated with Cervical Cancer by Priya S. N. A, V. Mary Amala Bai, Journal of Advanced Research in Applied Sciences and Engineering Technology (2024)
Breast cancer recurrence prediction with deep neural network and feature optimization by Arathi Chandran R I & V Mary Amala Bai, Automatika, Journal for Control, Measurement, Electronics, Computing and Communications (2024)
Deep Neural Network for the Detection and Classification of Spontaneous Abortion Associated with Cervical Cancer by Priya S. N. A, V. Mary Amala Bai, Journal of Advanced Research in Applied Sciences and Engineering Technology (2024)
Evaluation of security framework for BYOD device in cloud environment by Jimshith V. T & V. Mary Amala, AUTOMATIKA (2024)
Optimized deep convolutional neural network for the prediction of breast cancer recurrence by Arathi Chandran R I, V Mary Amala Bai, Journal of Applied Engineering and Technological Science (2023)
Online computation offloading via deep convolutional feature map attention reinforcement learning and adaptive rewarding policy by P. Anusha, V. Mary Amala Bai, Wireless Networks (2023)
Krill herd optimization algorithm with deep convolutional neural network fostered breast cancer classification using mammogram images by Pratheep Kumar P, Mary Amala Bai V. , Ram P. Krish, Concurrency and Computation: Practice and Experience (2023)
State-Of-The-Art Techniques for Classification of Breast Cancer Using Machine Learning and Deep Learning Methods: A Review by Pratheep Kumar P , Mary Amala Bai V, State-Of-The-Art Techniques for Classification of Breast Cancer Using Machine Learning and Deep Learning Methods: A Review (2023)
Breast Cancer Detection on Mammographic Images using Hyper Parameter Tuning & Optimization: A Convolutional Neural Network & Transfer Learning Approach by 8. Pratheep Kumar P , Mary Amala Bai V , International Journal of Engineering Trends and Technology (2022)
An efficient classification framework for breast cancer using hyper parameter tuned Random Decision Forest Classifier and Bayesian Optimization by Pratheep Kumar P , Mary Amala Bai V , Geetha G. Nair, Biomedical Signal Processing and Control (2021)
Challenges and Solutions in CNN based Diagnostic Techniques on Breast Mammographic images: A Survey by Pratheep Kumar P. , Mary Amala Bai V. , and Geetha Nair G, International Journal of Pharmaceutical Research (2020)
AI based classification of Chest Xray for Covid -19 Diagnosis : A Study by Pratheep Kumar P., Mary AmalaBai V., Bioscience Biotechnology Research Communications (2020)
Analysis of feature selection measures for text categorization by Mary Amala Bai, V & Manimegalai, International Journal of Enterprise Network Management (2017)
A document level measure for text categorization by Mary Amala Bai, V & Manimegalai, International Review on Computers and Software (2013)
A probability based relevance frequency measure for centroid based text classifier by Mary Amala Bai, V & Manimegalai, European Journal of Scientific Research (2013)

Books Published

We?ghtOpt?m?zed Fuzzy Grav?tat?onalClass?f?er For Imbalanced Med?cal Datasets, ISBN: 978-981-16-3690-5, Publisher: Springer

Patents

No patents available.

Conferences

BYOD In Advanced Learning: Potential And Problems’, International Conference on Networks, Image and Security, ICNIS2023 (August 23, 2025)
A Survey on Personal Identification and Tracking of Individuals using Biometrics and Behaviour Characteristics, ICRET 2025 (May 16, 2025)
Fake Image Detection using Deep Learning, ICIET – 2025 (April 2, 2025)
Cervical Cancer Classification and Prediction using Faster R-CNN , ICIET – 2025 (April 2, 2025)
Efficient and Accurate Image Forgery Detection via LSTM Autoencoder Architecture, ICIET – 2025 (April 2, 2025)
Enhancing Student Retention: A Data Driven Approach to Dropout Prediction, ICIET – 2025 (April 2, 2025)
Secure Multi-Modal User Authentication using Keystroke Analysis and Optimized Biometric Features, ICIET – 2025 (April 2, 2025)
Multi-Factor Authentication System Using Keystroke Dynamics and Biometric Face Recognition with Feature Optimization, ICCES (December 16, 2024)
Spotting the Deceptive: An In-Depth Study of Image Forgery Techniques, International Conference on Networks, Image and Security (August 23, 2023)
Development of Optimized Support Vector Machine Algorithm for Breast Cancer Recurrence Prediction, ICNIS2023 (August 23, 2023)
Enhancing Employability and Sustainability through Artificial Intelligence-Based Course Recommender System, ICNIS2023 (August 23, 2023)
Emergence of AI with edge computing: A review and new perspectives, ICNIS2023 (August 23, 2023)
Deep Learning Based Modeling And Analysis Of Auto Encoder For Resource Scheduling In MEC Networks, ICNIS2023 (August 23, 2023)
Back Propagation with Weighted Sum Neural Network for the Detection of Spontaneous Abortion Associated with Cervical Cancer, ICNIS2023 (August 23, 2022)
Online Computation offloading via Deep Convolutional Reinforcement Learning, International Conference on Recent Trends In Computing And Information Technology (February 11, 2022)
A comprehensive survey on breast cancer recurrence prediction using Artificial Intelligence, International Conference on Recent Trends in InformationTechnology (November 11, 2021)
A comprehensive survey on cervical cancer detection using Artificial Intelligence, International Conference on Recent Trends in InformationTechnology, (November 11, 2021)
A comprehensive survey on cervical cancer detection using Artificial Intelligence, International Conference on Recent Trends in InformationTechnology (November 11, 2021)
E-Learning Recommender system (E-LRS): A look over on the state-of-the-art, International Conference on Recent Trends in InformationTechnology (November 11, 2021)
Security Issues And Challenges In Educational System During Pandemic Condition, ICAISCS (October 23, 2021)
Augmentation techniques on mammogram images for CNN based breast cancer classification’, International Conference on Emergent Converging Technologiesand Biomedical systems (April 28, 2021)
A Survey on Machine Learning Algorithms used for the Diagnosis of Breast Cancer, International Conference on Networks, Image and Security (April 10, 2019)
Clinical Decision Support System based on a Standardized Clinical Protocol with a Machine Learning Component, International conference on Applied mathematics and theoretical computer science (February 1, 2018)

Projects

No projects available.

Faculty Development Programs (FDP)

Mastering the Technologies Shaping Education and Industry - FDP (May 19, 2025 to May 23, 2025)
Exploring Language Models- ANNs to LLMs - FDP (April 28, 2025 to May 3, 2025)
Artificial Intelligent in Education Integrating AI into computer science curriculum - FDP (June 24, 2024 to June 29, 2024)
Diseases due to Life style changes - FDP (May 15, 2024 to May 22, 2024)

Online Courses

No online courses available.

Events Organized

Dr. Mary Amala Bai V - Seminar On "Ethical hacking And Cyber Security"
Dr. Mary Amala Bai V - Workshop on "An Insight into Deep learning"
Dr. Mary Amala Bai V - International Conference on Innovations in Engineering and Technology
Dr. Mary Amala Bai V - Guest lecture on 'Cyber Security'
Dr. Mary Amala Bai V - Workshop on Embedded Intelligence
Dr. Mary Amala Bai V - Seminar on "Entrepreneur ship skill, Attitude and Behaviour Development

Awards

Dr. Mary Amala Bai V - Remarkable contributions in Research, Innovation and Institutional advancement

Guest Activities

No guest activities available.

Additional Contributions

Workshop - Artificial Intelligence and Deep Learning (May 20, 2025)
Other - Chaired the Technical Session for the International Conference on Future of Connected Systems - IoT, AI & 5G (May 2, 2025)
Other - Chaired a Technical Session for the International Conference on Control, Instrumentation, communication and Computational Technologies,ICCICCT-2025 (April 24, 2025)
Workshop - One day workshop on CYBER SECURITY (March 14, 2025)
Other - Professional Development Program on " Industry 4.0 and Digital Twin" (March 7, 2025)
Workshop - Professional Development Programme on " Transformers in AI: From Data to Dialogue and Personalization" (November 28, 2024)
Workshop - one day Workshop on " An insight into Deep Learning" (September 25, 2024)
Webinar - webinar on critical infrastructure Protection (January 24, 2014)

Dr. Mary Amala Bai V