Dr J.G.R. SATHIASEELAN
Associate Professor
| Department of Computer Science
Bishop Heber College, Tiruchirappalli
(2022 - 2021)
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
56
Publications
0
Projects
211
Scopus Citations
123
CrossRef
33 Years 5 Months Total Experience
Scopus
211
Citations
8
h-index
CrossRef
123
Citations
5
h-index
Google Scholar
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Professional Recognition
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Community & Membership
Board of Studies, UG, Bharathidasan University, Tiruchirappalli, India
Subject ExpertBoard of Studies, CAUVERY COLLEGE FOR WOMEN Bharathidasan University
Subject ExpertBoard of Studies, CAUVERY COLLEGE FOR WOMEN Bharathidasan University
Subject ExpertBoard of Studies, CAUVERY COLLEGE FOR WOMEN Bharathidasan University
Subject ExpertBoard of Studies, CAUVERY COLLEGE FOR WOMEN Bharathidasan University
Subject ExpertBoard of Studies,,St. Joseph’s College (Autonomous)Bharathidasan University, Tiruchirappal
Subject ExpertBoard of Studies,St. Joseph’s College (Autonomous),Bharathidasan University, Tiruchirappal
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Personal Details
Doctor of Philosophy
2013
NATIONAL COUNCIL FOR CEMENT AND BUILDING MATERIALS
Associate Professor
Jul 2022 – Sep 2021
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Vice Principal
Sep 2021 – Jun 2022
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Dean
Jul 2014 – Jul 2020
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Dean
Jul 2014 – Jun 2022
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Associate Dean
Jun 2012 – Jun 2014
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Associate Professor
Jul 2007 – Jul 2023
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Lecturer
Mar 1990 – Jun 2007
Bishop Heber College, Tiruchirappalli
| Department of Computer Science
Engineering and Technology
Scholarly Work
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Multi-Objective Optimization For Knowledge Extraction Using Evolutionary Clustering Techniques
Text Classification Using Support Vector Machien And Instance Selection For Knowledge Discovery
An Improved Candidate Transaction Page Rank Algorithm For Web Search Engines Using Classification Techniques
An Integrated SPIHT And Adaptive Multi wavelet Transform Technique For Video Compression
A HYBRID APPROACH FOR IMPROVING THE CLASSIFICATION ACCURACY OF MEDICAL IMAGES COMBINING ENHANCED K NEAREST NEIGHBOR (EKNN) AND ADVANCED CLASSIFICATION AND REGRESSION TREE (ACART
Optimization Of QoS-Based Reusable Service Selection Using Multi-Objective Constraints
Context Aware Document Search using Semantically Enhanced Clustering and Reverse Indexing Techniques
Enhanced Image Processing Techniques
Optimization of Frequent Itemset Mining using Enhanced Pattern Growth Techniques
Enhanced Stemming and Lexicon Based Techniques for Opinion Mining
Enhanced Image Processing Techniques for Automated Glaucoma Prediction through Sensitive Mirror Analyzer and Retina Tracker System
Enhancing the Accuracy in Social Network Data using Feature Selection Techniques
Novel Graph Analytic Techniques for large scale data retrieval in social networks towards enhancement of reachability and reduction of search time
FORECASTING OF SOIL NUTRIENTS WITH PH RANGE IN FARMING USING DEEP LEARNING TECHNIQUES
Dr J.G.R Sathiaseelan
-
Patent No. :
20189
Filed :
07-03-2022
Published :
18-03-2022
Published
Scholarly Publications
A novel feature extraction method for identifying quality seed selection
10.1504/IJIEI.2022.129094
Scopus: 2
Anomaly detection and oversampling approach for classifying imbalanced data using CLUBS technique in IoT healthcare data
Segmentation of Mammography Breast Images Using Automatic SEGMEN Adversarial Network with UNET Neural Networks
Ensemble regression model-based missing not at random type missing data imputation on the internet of medical things
Dual strategy based missing completely at random type missing data imputation on the internet of medical things
RoCC framework for anomaly detection in IoT healthcare data
10.1063/5.0225066
Scopus: 2
AN ENSEMBLE FRAMEWORK OF STACKED MULTI REGRESSORS AND GRADIENT BOOSTING ALGORITHMS WITH TUNED HYPER PARAMETERS – ENSTAR TO PREDICT EMPLOYEE PERFORMANCE SCORE USING HR ANALYTICS
Open AccessAn Ensemble of Stacked Classifiers with Optimization Framework—Optuna, Interpreted with XAI—SHAP to Predict Employees’ Performance Ratings Using IBM HR Analytics
Showing 1 to 8 of 56 publications