Mr. G. Sangar
Teaching Research Fellow
Department Of Computer Science And Engineering
Contact Information
Email : sg5772@srmist.edu.in
- Ph.D., Computer Science and Engineering, SRM Institute of Science and Technology (Pursuing)
- M.E., Computer Science and Engineering, VELS University,2014
- B.E., Computer Science and Engineering, Annamalai University, 2010
- Data Communication and Networking
- Web Technology
- Cryptography and Network Security
- Data Structures in C Programming
- Basics of Python
- Database Management Systems
- Object Oriented Analysis and designed(OOAD)
- Engineering Graphics
- Problem Solving and Python Programming
- Resource Management Techniques
- Total Quality Management
- Android Development Program
- Computer Organization and Architecture
- Machine Learning
- Data Science
- Machine Learning
- Deep Learning
- Cyber Security
- Image Processing.
- Paper presented in IEEE conference at “ International Conference on Data Science ,Agents and Artificial Intelligence (ICDSAAI 2022) “ paper titled “Lung cancer prediction and Stage classification in CT scans using the Convolution neural networks –A deep learning Model” conducted by Chennai Institute of Technology which will be held on Aug 11-13, 2022,Paper id L201.
- Paper presented in Springer Conference at ”4th International Conference on Data Sciences, Machine
Learning and Applications (ICDSMLA 2022} paper titled “ Analysis of the Seer dataset for Lung cancer
diagnosis for the Stage classification and Survival Analysis “ conducted by Vasavi college of Engineering
,Hydrabad which will be held on 28 th December 2022 ,Paper id 7. - Published a paper titled “Analysis of various techniques for Knowledge Mining in electronic Health
records “ in European Journal of Molecular & Clinical Medicine ,2020 Volume 7,Issue 11,Pages 2381-
2390 (Scopus) - Published a paper titled “Detection of Lung Cancer Disease Using Optimized Long Short-Term Memory
Based on Improved Gray Wolf Optimization” in International Journal of Intelligent Systems and Applications in Engineering ,2024 Volume 12 issue 3 Pages 2732–2744, ISSN number : 2147-6799
(Scopus Journal ) - Published a paper titled “Deep-Shrimpnet fostered Lung Cancer Classification from CT Images” in International Journal of Image, Graphics and Signal Processing (MECS Press),2023,Volume 15 Issue 4
pages 59-68, DOI: 10.5815/ijigsp.2023.04.05 - Published paper on “Stage Classification of Lung Cancer using the Comparative Analysis of the Machine
Learning Techniques” in International Journal of Scientific Research in Computer Science, Engineering
and Information Technology ,2022, Volume 8,Issue 1 ,Pages 32-41, ISSN number : 2456-3307 (UGC
Journal) - Published Paper Titled “Prediction of the Tetrology of Fallot using the Fuzzy Clustering” in the Journal
Recent Advances in Computer science and Communication - Published Paper Titled “Effective on Demand Blood Sharing app for Medical Emergency” in the Journal
“International Journal of Innovative Technology and Exploring “. - Publishes Paper Titled “Vechicular Adhoc networks using the cellular Technology” in the Journal
Journal of the computational and Theoretical Nano science.
- Optimization techniques in the Lung cancer Prediction and stage classification in machine Learning
Technique - Parameter Tuning techniques and Parameter evaluation in Lung cancer Stage Classification
- Diagnosis of the Skin Cancer Prediction using the Transfer Learning Techniques
- Enhancing Lung Cancer Prediction with Generative Adversarial Networks (GAN) and Extreme Learning
Machines (ELM) Utilizing Transfer Learning
- Presented Research Paper on IEEE 5th INTERNATIONAL CONFERENCE OF EMERGING TECHNOLOGY (INCET 24) present the topic “Potato Leaf Disease Classification using Pre Trained Deep Learning Techniques – A Comparative Analysis” Jain College of Engineering, Bangalore, India date of 24th to 26th May 2024.
- Presented Research Paper on INTERNATIONAL RESEARCH CONFERENCE ON COMPUTING TECHNOLOGIES FOR SUSTAINABLE DEVELOPEMENT(IRCCTSD 24) present the topic “Crop Disease
Recognition and Classification A Deep Dive into Machine Learning Techniques – A Survey” SRMIST, Vadapalani, Chennai, India year of 2024. - Presented Research Paper on IEEE 3rd INTERNATIONAL CONFERENCE ON INNOVATION IN
TECHNOLOGY (INOCONF 24) present the topic “Generating captions from images using unsupervised
MO-CNN in Deep Learning” Sai Vidya Institute of Technology, Bengaluru, India year of 2024. - Presented Research Paper on IEEE 2024 2nd Global Conference on Information Technologies and
Communications (GCITC) present the topic “Optimizing Brain Tumor Classification through Innovative
Texture-Based MRI Analysis: A Fusion of Novel GLCM and LBP with SVM Ensemble for Enhanced
Accuracy” Reva University, Bangalore, India date of 25th and 26th of October 2024. - Presented Research paper on International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data processing(AAIMB-2023) present the topic “Enhanced Disease Recognition and Classification in Black Gram Plant Leaves Using Deep Learning” SA Engineering College, Thiruverkadu, Chennai-77 year of 2023.
- Presented Research paper on International Conference on Research in Electronics Engineering and
Communication Techniques(ICREACT 23) and present the topic “Black Gram Plant Leaf Disease Detection and Classification Using Deep Learning” SRMIST, Vadapalani Campus year of 2023. - Presented Research paper on International Conference on Advances in Intelligent Computing, Electrical, Electronics and Smart Systems (ICAICEESS) – 2023 and present the topic “Generating Text Description from images using Unsupervised CNN in Deep Learning” Prathyusha Engineering College Year of 2023.
- Lecturer, Sakthi Mariamman Engineering College, July 2010 – May 2012.
- Assistant Professor, Sakthi Mariamman Engineering College, June 2014 – June 2019
- Assistant Professor, Mother Teresa Institute of EngG & Tech, June 2019 – January 2023.
- Full Time – Research Scholar, SRMIST. Vadapalani, February 2023 – Till Date.
- NIL