Information
- Designation : Associate Professor
- Email : suganya@cse.nits.ac.in
- Phone :
Key Notes
- Conference: International - 30 , National - 1
- Journals: 55
- Conferences: 32
- Book Chapters: 8
- Books: 17
- Patents: 5
- PhD: Guided: 17
- Post Graduates: Guided: 15
- Under Graduates: Guided: 7
112
PUBLICATIONS17
DOCTORAL STUDENTS5
PATENTSIntroduction [Biosketch]
- Dr. Suganya Devi K received the B.Tech. Degree in Computer Science Engineering from the University of Madras, an M.Tech(Gold Medal) Degree in Computer Science Engineering from Anna University, and a Ph.D. degree from Anna University. She is an Associate Professor with the Department of Computer Science Engineering, National Institute of Technology Silchar, India. Her research interests include Medical Image Processing, Deep Learning, Machine Learning, Pattern Recognition, Multimedia and Artificial Intelligence.
Areas of Interest
- Image Processing
- Medical Image Processing
- Multimedia
- Artificial Intelligence
- Machine learning
| Institution | Year | Degree |
|---|---|---|
| University of Madras | 2003 | B.Tech |
| Anna University | 2008 | M.Tech |
| Anna University | 2014 | Ph.D |
Teaching Experience
National Institute of Technology Silchar
Anna University, Chennai
Annai Teresa College of Engineering, Tamilnadu
IFET College of Engineering, Tamilnadu
uganya Devi K Sekar K, and Murali baskaran V, Dheepa T, Sheethal R, Suvarna Smita R S, Teja V Dixit, “Efficient Object Detection on Low-Resource Devices Using Lightweight MobileNet-SSD”, In Proceedings 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN), January 24th 2025, 2025, Bidar, India, Indexed in Others
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Detection of abnormalities in Mammograms
Nivedita Singh, Kaushik Borah, Dhiraj Kr. Sah , Subhra Jyoti Baroi
Completed :
Detection of COVID-19 from Chest X-Rays using Deep Learning and predicting severity score
Abhisek Ray , Manojeet Das , Padmanabha Chakraborty, Usmita Boro
Completed :
Detection of Abnormalities in RBC using Deep Learning Techniques
Mohit Kumar Singh ,Tanveer Ahmed , Neelotpal Choudhury Das , Chinmoy Talukdar ,Aminesh Kumar Sing
Completed :
Automated Skin Cancer Detection using Deep Learning with Self-Attention Mechanism
Himanshi Singh , Shraddha Singh Gaur , Jatoth Suman
Completed :
An image captioning model using combination of cnn and attention based lstm.
Nirmi barman,Sumalatha boddepalli , Sindhu Garikipati
Completed :
Classification and Analysis of Medical Forms for Healthcare Systems
Kodamanchi Karthik, Dadi Puneeth Kumar,Sara Uday Kiran, Kadam Aditya Ram
Ongoing
Indian Sign Language Recognition using Convolutional Vision Transformers
Ankan Dutta,Spandan Priyam Chetia, Mwktanghsa Daimari,
Ongoing
Unsupervised Anomaly Detection in Mammograms using Generative Modelling
Mr. Anandamoy Bandyopadhyay
Completed :
Lung Cancer Detection and Classification using 3DCNN
Mr. Rajashekar Gadde
Completed :
Concealed Object Detection through customized YOLO Model
Mr. A. Karthic
Completed :
Detection and classification of laryngeal cancer using CNN
Mr. Ramanuj Battacharjee
Completed :
Fracture Detection and classification
Mr. Rahul Kumar
Completed :
Personal Authentication based on IRIS Texture analysis
Ms.J.Jayachitra
Completed :
A Change in Sequence based speedy algorithm for Video Object Detection and Tracking
Mr.N.PrabuShankar
Completed :
Foreground Extraction based on OFBM and SMED approach
Mr.S.Aravindhkumar
Completed :
Efficient Background Subtraaction using Fuzzy CMEANS
Ms.S.Poornima
Completed :
Remote Monitoring and Security alert using Mobile
Ms.P.Jayabharathi
Completed :
Moving Region Segmentation from Compressed video using global motion estimation by macroblock classification and MRF model
Ms.H.Ambika
Completed :
Efficient foreground object detection using background subtraction
Ms.G.Selvasanthi
Completed :
Object motion detection using background matching framework
S.Manikandan
Completed :
Automated Video enhancement for image deblurring by using wavelet based fusion
Mr.S.Jayaraj
Completed :
Automatic VOETechniques using CRF and Visual Saliency Method
Mr.Sabarinathan M
Completed :
Enhanced Deep Learning model with pipelined preprocessing approach for identifying and classifying Diabetic Retinopathy
Mr. Hemant Kumar vasireddy
Enrolled: 12 August 2019
Completed :
10 February 2025
Analysis and Classification of Various Abnormal Morphologies in Red Blood Cells (RBCs)
Mr. Prasenjit Dhar
Enrolled: 10 August 2019
Completed :
12 September 2024
Pragmatic Prospects of Compressive Sensing for Energy-Efficient Data Collection in Wireless Sensor Networks
Mr. K. Sekar
Enrolled: 12 August 2019
Completed :
10 August 2023
An Advanced Driving Assistance System for Road Safety on Indian Structured Roads
Mr. Satish Kumar Satti
Enrolled: 11 August 2019
Completed :
19 June 2023
Identification and classification of Oryza Sativa plant leaf diseases using enhanced image processing and optimized deep convolutional neural network.
Mr. GNV Raja Reddy
Enrolled: 12 August 2019
Completed :
21 May 2023
Hidden Object Detection in Different Types of Images using Data Augmentation and Transfer Learning
Mr. Satyajit Swain
Enrolled: 23 August 2021
Ongoing
Deep Learning Based Automatic Epilepsy Detection Using Electroencephalogram Signals
Mr. Alagasan
Enrolled: 12 August 2022
Ongoing
Brain Tumor Segmentation and Grade Classification using Deep Learning Models and Explainable AI
Mrs. S. Berlin Shaheema
Enrolled: 12 August 2021
Secure Data Transfer in Telemedicine
Mr. Vuruvindi Vikranth
Enrolled: 13 August 2023
Ongoing
Breath pattern analysis
Mrs. Yamana satya veni
Enrolled: 12 August 2024
Ongoing
Quantum Computing in Health care
Mr. Suneetha Vesalapu
Enrolled: 3 August 2024
Ongoing
Automatic Detection of Groundnut Leaf Diseases using Machine Learning Algorithms
Ms. M.P. Vaishnnave
Enrolled: 5 May 2016
Completed :
5 October 2022
Concealed Object detection for Human Security Surveillance system
Ms. J.Jayachitra
Completed :
Detection of malaria cells and qualitative abnormalities of peripheral blood smear images using deep learning techniques
Mr. G.Arutperumjothi
Completed :
AI-Driven Outcome Prediction for Head and Neck Cancer: Leveraging Clinical and Imaging Data
Dr. S. Vijayakanth, MDS
Enrolled: 12 August 2022
Ongoing
Breast cancer staging using Deep Learning
Dr. Anuradha Talukdar, MBBS
Enrolled: 21 April 2022
Ongoing
Hybrid Compression and Hyperchaotic Encryption of Medical Images in Healthcare Systems
Mrs. Pauline Freeda D
Enrolled: 12 August 2017
Awards And Honours
- 1. Achieved Gold Medal in M.Tech.
- 2. Achieved Tmt. Vai. Mu. Kothainayaki Ammal Award for the contribution towards teaching and societal development.
- 3. Achieved Best paper Award for ‘Secure E-Pay System Using Steganography and Visual Cryptography ” World Academy of Science, Engineering and Technology conference 2017 singapore.
- 4. Achieved Best paper Award for “ICTS-Dataset: Indian Cautionary Traffic Sign Classification” in IEEE International Conference On Distributed Computing And Electrical Circuits And Electronics (ICDCECE-2022) from April 23 & 24, 2022, Bellari, Bangalore.
- 5. Achieved Best paper Award for “Detecting Laryngeal Cancer Lesions from Endoscopy Images using Deep Ensemble Model” in First International Conference on Signal Processing, Computation, Electronics, Power, Telecommunication (IConSCEPT 2023), NIT Puducherry, India, 25-26, May 2023.
- 6. Achieved Best paper Award for “Anisocytosis Abnormalities Classification using Spatial Attention Mechanism “, 3rd 2024 International Conference on Computing and Data Science (ICCDS-2024), , NOrganised by Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai,India, (IEEE), 26th to 27th April 2024.
A Method and System for Classification of RBC Morphology through Intelligent Image Processing
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
south Africa
Patent
Registration ID, No. 2023/06721
A Method and System for Classification of RBC Morphology through Intelligent Image Processing, (**GRANTED**)
A Dual Output Multistage switched Capacitor Quadratic Boost DC-DC Converter Device
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Germany
Patent
Registration ID, No. 20 2022 104 672
A Dual Output Multistage switched Capacitor Quadratic Boost DC-DC Converter Device, (**GRANTED**)
A Device for Assisting Respiration
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
India
Patent
Registration ID, 202231035556
A Device for Assisting Respiration, (**GRANTED**)
A System to Recognize Cautionary Traffic Signs in Real-Time Using an Optimized Adaptive Boosting Cascade Classifier and a Method Thereof
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
South Africa
Patent
Registration ID, 2022/05203
A System to Recognize Cautionary Traffic Signs in Real-Time Using an Optimized Adaptive Boosting Cascade Classifier and a Method Thereof, (**GRANTED**)
An Efficient Artificial Fish Swarm Optimization based method for Disease Detection in Oryza Sativa
“A SYSTEM FOR STUDYING AND PERFORMING THE PART-OF-SPEECH TAGGING FOR MIZO LANGUAGE”
Australia
Patent
Registration ID, 2021105554
An Efficient Artificial Fish Swarm Optimization based method for Disease Detection in Oryza Sativa, (**GRANTED**)
