Full Name
Dr. NAGAMANI T
Department
Artificial Intelligence & Machine Learning
Designation
Head of the Department
Qualification
PhD
Area of Expertise
Artificial Intelligence
Short Bio
Dr. T. Nagamani completed her Ph.D. in Information and Communication Engineering from Anna University, Chennai, in 2025. She completed her ME Computer Science and Engineering at Bannari Amman Institute of Technology during 2011 and obtained her BE Computer Science and Engineering at Madras University, Chennai, during 1998. With over 19 years of academic experience, she is currently serving as an Assistant Professor (Selection Grade) in the Department of Computer Science and Engineering (AI & ML) at Kangeyam Institute of Technology. Her research interests include Deep Learning and Artificial Intelligence. Dr. T. Nagamani has published more than 18 papers in national and international reputed journals, presented at more than 18 national and international conferences, and has filed three patents.
Journal Publications
|
S.No. |
Title |
Published in & Period |
Scopus/ SCIE/
WoS |
|
|
1 |
A Clinical Decision Support System Based
on AutoML with HPO for Coronary Artery Disease Diagnosis |
Journal of Environmental Protection and Ecology & 2023 |
SCIE |
|
|
2 |
Cervical Cancer Prediction using Optimized
Meta-learning |
Springer & 2023 |
Scopus |
|
|
3 |
Advanced Cardiac Health
Care Monitoring using IoT |
International Journal of Aquatic Science (WoS) & 2021 |
WoS |
|
|
4 |
Interactive Music Player
Design on Smart Phone |
GIS International journal & 2021 |
Peer-reviewed Journal |
|
|
5 |
Heart Disease Prediction and Classification using
Machine Learning Algorithms Optimized by Grey
Wolf Optimization combined with Swarm Intelligence |
PENSEE International Journal & 2021 |
Peer-reviewed
Journal |
|
|
6 |
Automatic Attendance System
with Face Recognition using Machine Learning |
International of Journal of Innovative Technology and Recent Technology and Engineering(IJRTE)
& 2020 |
|
Scopus |
|
7 |
Heart Disease Prediction using Data Mining
with MapReduce Algorithm |
International Journal of Innovative Technology and Exploring Engineering &
2019 |
Scopus |
|
|
8 |
A Survey on Heart Disease
Prediction using Data Mining and Big Data Analytics |
Journal of Advanced Research in Dynamical and Control Systems & 2018 |
Scopus |
|
|
9 |
A Survey on disease Prediction from Healthcare Communities over Big Data |
CiiT
International Journal of Biometrics and Bioinformatics &
2018 |
Peer-reviewed Journal |
|
|
10 |
Secure Keyword
Search with Public Key Encryption by Cloud storage |
International Journal of Computational Engineering Research & 2017 |
UGC |
|
|
11 |
Prediction of Coronary Artery Disease using Genetic
Algorithm based Feature
Selection and Random
Forest Classifier |
International Journal of Advance Research and
Science in Engineering, 2017 |
Peer-reviewed Journal |
|
|
12 |
Multi Key word Ranked Search
over Cloud Data |
CiiT International Journal
of Artificial Intelligent Systems and Machine Learning &
2017 |
Peer-reviewed Journal |
|
|
13 |
Effective Identification of Malicious Threats and Security Issues in Android Apps |
CiiT International Journal
of Automation and Autonomous System &
2016 |
Peer-reviewed Journal |
|
|
14 |
Identifying and Ranking
Risk using Probabilistic Generative Models |
CiiT International Journal
of Artificial Intelligent Systems and Machine Learning &
2016 |
Peer-reviewed Journal |
|
|
15 |
Efficient Search over Encrypted Mobile Cloud using TEES |
CiiT International Journal
of Networking and Communication Engineering &
2016 |
Peer-reviewed Journal |
|
|
16 |
Camera Shake Elimination using
Weighted Fourier Burst Accumulation |
CiiT International Journal of Digital Image Processing &2016 |
Peer-reviewed Journal |
|
|
17 |
Task Scheduling in Grid
Computing Platform |
Journal of Computing Technologies &
2014 |
Peer-reviewed Journal |
|
National / International Conferences
|
S.No |
Title |
Name of Conference |
Publisher |
Year
of Publication |
|
1 |
Enhancing Parkinson’s
Disease Diagnosis: A Deep Learning Framework for Image-Based Detection |
2025 IEEE International Conference on
Interdisciplinary Approaches in Technology and Management for Social
Innovation (IATMSI) |
IEEE |
2025 |
|
2 |
Grape Leaf Disease
Detection and Classification using Machine Leaning |
International Conference
on Computing and Intelligent Reality Technologies |
IEEE |
2025 |
|
3 |
Chronic Kidney Disease Prediction using Machine
Learning Algorithms |
2024 International
Conference on Advances in Modern Age Technologies for Health and Engineering
Science (AMATHE) |
IEEE |
2024 |
|
4 |
Enhancing Diagnostic
Accuracy in Echocardiography with Deep Learning Techniques |
International Conference
on Innovative Mechanisms
for Industry Applications |
IEEE |
2024 |
|
5 |
Provable Partition based
Transformation for Privacy Preserving Medical Data Publication |
International Conference
on AI and Smart Computing |
BIT |
2023 |
|
6 |
Football Match Prediction using RF Classifier |
International Conference
on AI and Blockchain technology |
BIT |
2023 |
|
7 |
Anti-Theft Monitoring for a Smart
Home |
IEEE International Conference on Smart Systems and Inventive Technology |
IEEE
|
2022 |
|
8 |
CAD prediction using
Machine Learning Techniques |
International Conference on Soft Computing and Intelligent Technologies |
Cheran College of
Engineering |
2021 |
|
9 |
Interactive Music Player Design on Smart Phone |
International Conference on Research and Developments in Engineering Pharmacy and Management |
IIRMSDT |
2021 |
|
10 |
Heart Disease
Prediction using
Logistic Regression in Machine Learning |
National Conference on Emerging Trends in Engineering & Technology |
Nandha College of Technology |
2020 |
|
11 |
Gradient Boosted
Decision Tree based
Classification for Recognizing Human Behavior |
IEEE International Conference on Advances in Computing and Communication Engineering & 2020 |
IEEE
|
2019 |
|
12 |
Heart Disease Prediction using
Machine Learning Alg. |
National Conference on
Recent Trends in Ubiquitous Computing and Communication Technology |
BIT |
2019 |
|
13 |
Diagnosis of Heart Disease using Big data. |
National Conference on Recent
Trends in Ubiquitous Computing and Communication Technology |
BIT |
2018 |
|
14 |
Heart Disease Prediction using Genetic Algorithm |
International Conference on Cyber Physical Systems for Next Generation Computing |
BIT |
2018 |
|
15 |
Prediction of Coronary Artery Disease using
Genetic Algorithm- based Feature Selection and Random Forest Classifier |
International Conference on Emerging Trends
in Engineering, Technology, Science and Management |
Institution of Electronics and Telecommunication, Bangalore |
2017 |
|
16 |
Health Care System for Disease
Diagnosis using Big Data |
ICMR Sponsored National Conference on Bioinformatics in Health Care using Big Data |
Vivekananda
College of Engineering for
Women |
2017 |
|
17 |
Novel Additive Multi
Keyword Search over
Cloud Data |
National conference on Recent Trends in Ubiquitous Computing & Communication Technology |
BIT |
2016 |
|
18 |
Multi Keyword Ranked Search over Cloud Data |
3rd National Conference on “Recent Trends
in Ubiquitous Computing & Communication Technology |
BIT |
2016 |
|
19 |
Independent Task Scheduling in Tree based Grid Computing |
3rd National Conference on Emerging issues in Computer Applications, |
K.S.R. College of Engineering, Tirunchengode |
2011 |
|
20 |
Push Pull Algorithm for Task Scheduling in Grid Computing Platform |
4th National Conference on Recent Advances in Computer
Vision & Information Technology |
Government College of Technology, Coimbatore |
2011 |
Patent
1. Smartest Remote
for Smart Home Automation System
– (Application No.: 201941049650), 2019
2. Smart Cane for Visually
Impaired People – (Application No.:202041040787), 2020
3. Filling Water Tank during
Emergency – (Application No.:350749-001), 2021.