 |
|
|
Examination |
Board / University |
Year |
Division/ Grade |
Subjects |
|
PhD |
Manonmaniam Sundaranar University |
2012 |
Recommended |
Computer Science and Engineering |
|
M.Tech |
Manonmaniam Sundaranar University |
2006 |
First Class with distinction |
Computer and Information Technology |
|
B.E |
Madurai Kamaraj University |
1998 |
First Class |
Computer Science and Engineering |
|
Job Title |
Employer |
From |
To |
|
Assistant Professor |
National Institute of Technology, Tiruchirappalli |
2007 |
Present |
|
Title of Project |
Funding Agency |
Duration |
Status |
|
|
From |
To |
Ongoing/ Completed |
||
|
Artificial Intelligence Based Integrated Logistics Management System (ILMS) |
NRB - DRDO |
2020 |
2022 |
Ongoing |
|
|
|
|
|
|
|
Name of the Ph.D. Scholar |
Title of Ph.D. Thesis |
Role(Supervisor/ Co-Supervisor) |
Year of Award |
|
Selvi C |
Design and Implementation of Efficient Collaborative Based Filtering Techniques for Recommender Systems |
Supervisor |
2018 |
|
Vijaya J |
Enactment of Data Analytics Techniques for Customer Churn Prediction in Telecommunication Sector |
Supervisor |
2018 |
|
Krishnakumari K |
Design and Implementation of Domain Adaptation Techniques for Sentiment Classification |
Supervisor |
2021 |
|
Title of Activity |
Level of Event (International/ National/ Local) |
Date (s) |
Role |
Venue |
|
Database Management Systems Held Under National Mission on Education Through ICT |
National
|
21/05/2013to31/05/2013 |
Coordinator |
National Institute of Technology, Tiruchirappalli |
|
Data Analytics Concepts and Techniques for Business Intelligence |
National |
08/08/2016to 13/08/2016 |
Convenor |
National Institute of Technology, Tiruchirappalli |
|
Workshop on Data Mining and Big Data Analytics |
National |
26/09/2016to 30/09/2016 |
Coordinator |
National Institute of Technology, Dimapur |
|
Introduction to Soft Computing Techniques |
National |
26/10/2017to 30/10/2017 |
Coordinator |
National Institute of Technology, Tiruchirappalli |
|
Introduction to Cryptography |
National |
01/11/2017to 05/11/2017 |
Coordinator |
National Institute of Technology, Tiruchirappalli |
|
Advanced Concepts in Databases and Data Analytics |
National |
06/11/2017to 11/11/2017 |
Coordinator |
National Institute of Technology, Tiruchirappalli |
|
Blockchain and Smart Contract |
National |
07/11/2019to11/11/2019 |
Secretary |
National Institute of Technology, Tiruchirappalli |
|
Artificial Intelligence and Machine Learning Techniques for Data Analytics |
National |
15/02/2021to19/02/2021 |
Coordinator |
National Institute of Technology, Tiruchirappalli |
|
Computational Intelligence for Multimedia |
National |
13/05/2021to 17/09/2021 |
Coordinator |
National Institute of Technology, Tiruchirappalli |
|
Type of Membership (Ordinary Member/ Honorary Member / Life Member ) |
Organization |
Membership No. with date |
|
Life Member |
IEEE |
|
|
Life Member |
Web of Science |
AAY-5197-2021 |
(A) Refereed Research Journals:
|
Author(s) |
Title of Paper |
Journal |
Volume (No.) |
Page numbers
|
Year |
|
E. Sivasankar, R. S. Rajesh and S. R. Venkateswaran |
Diagnosing Appendicitis Using Backpropagation Neural Network and Bayesian Based Classifier |
International Journal of Computer Theory and Engineering |
Vol. 1(4) |
358-363 |
Oct-2009 |
|
E. Sivasankar And R. S. Rajesh
|
Implementation of Support Vector Machines for Classification of Clinical Datasets |
International Journal of Information Acquisition |
07(04) |
347-356 |
2010 |
|
E. Sivasankar, Rengan Sivagurunathan Rajesh |
Appendicitis diagnosis system using fuzzy logic-and neural network-based classifier” |
International Journal of Medical Engineering and Informatics |
3(4) |
337-350 |
Jan-2011 |
|
Sivasankar Elango, H. Sridhar, V. Balakrishnan, Rengan Sivagurunathan Rajesh, K Ashwin |
Comparison of dimensionality reduction techniques using a backpropagation neural network-based classifier |
International Journal of Information Acquisition |
Vol. 08 |
161-169 |
2011 |
|
Siva Brahmasani, E. Sivasankar |
Two-level verification for detection of DNS rebinding attacks |
International Journal of System Assurance Engineering and Management |
4(2) |
138–145 |
Apr-2013 |
|
Muhunthaadithya C, Rohit J.V., Sadhana Kesavan and Dr. E. Sivasankar |
Clustering of Deep WebPages: A Comparative Study |
International Journal of Computer Science and Information Technology |
7(5) |
157-166 |
Oct-2015 |
|
Nithya B, Mala C, E. Sivasankar |
Channel status-based sliding contention window (CS-SCW) algorithm is a fuzzy control approach for medium access in wireless networks |
Soft Computing |
Vol. 21(8) |
1991–2004 |
Apr-2017 |
|
Sivasankar Elango Kalyan Krishnakumari |
Aspect-based summarisation in the big data environment |
International Journal of Advanced Intelligence Paradigms |
10 |
|
Jan-2018 |
|
Selvi, C., |
A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using a modified k-means clustering approach |
Multimedia Tools and Applications |
Vol. 11 |
4303-14330 |
Nov-2018 |
|
Vijaya J, Sivasankar E |
Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in the telecommunication sector |
Computing |
100 |
839-860 |
Aug-2018 |
|
Selvi, C., |
A novel similarity measure toward effective recommendation using the Matusita coefficient for Collaborative Filtering in a sparse dataset |
Sādhanā |
43 |
202 |
2018 |
|
Selvi C, Sivasankar E |
A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach |
Soft Computing |
23 |
901-1916 |
Mar-2019 |
|
Sivasankar, E., J. Vijaya |
A study of feature selection techniques for predicting customer retention in the telecommunication sector |
International Journal of Business Information Systems |
31(1) |
1-26 |
May-2019 |
|
Vijaya J, Sivasankar E |
An efficient system for customer churn prediction through particle swarm optimization-based feature selection model with simulated annealing |
Cluster Computing |
22 |
10757-10768 |
Sep-2019 |
|
Sivasankar E, Vijaya J |
Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network |
Neural Computing and Applications |
31 |
7181-7200 |
Nov-2019 |
|
Sivasankar, E., Pradeep, R., Sivanandham, S |
Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms |
International Journal of Medical Engineering and Informatics |
Vol. 11 |
|
2019 |
|
Sivasankar E, Selvi C, Mahalakshmi S |
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method |
Soft Computing |
24 |
3975-3988 |
Mar- 2020 |
|
Krishnakumari, K., E. Sivasankar, Sam Radhakrishnan |
Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC) |
Soft Computing |
24(5) |
3511-3527 |
Mar-2020 |
|
Madasu Avinash, Sivasankar Elango
|
Efficient feature selection techniques for sentiment |
Multimedia Tools and Applications |
Vol. 79 |
9-10 |
Mar- 2020 |
|
Sivasankar E, Krishnakumari K, Balasubramanian P |
An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA) |
Soft Computing |
25(5) |
3697-3711 |
Mar-2021 |
|
E. Sivasankar, A. Sathish Kumar, J. Sanjivi, P. Balasubramanian |
Analysis and prediction of breast cancer through feature selection and classification techniques |
International Journal of Medical Engineering and Informatics |
13(5) |
359-375 |
Sep-2021 |
|
Balasubramanian P, Sivasankar E, Vignesh Viswanathan |
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT |
Multimedia Tools and Applications |
81 |
5587–5620 |
Dec-2021 |
|
Divakaran Adwaith, Ashok Kumar Abishake, Siva Venkatesh Raghul. Elango Sivasankar |
Enhancing multimodal disaster tweet classification |
Multimedia Tools and Applications |
81 |
18483–18501 |
Mar-2022 |
(B) Conferences/Workshops/Symposia Proceedings:
|
Author(s) |
Title of Abstract/ Paper |
Title of the Proceedings |
Page numbers |
Conference Theme |
Venue |
Year |
|
Sivasankar, E., and R. S. Rajesh |
Knowledge discovery in medical datasets using a Fuzzy Logic rule-based classifier |
International Conference on Electronic Computer Technology Conference |
208-213 |
|
Kuala Lumpur |
2010 |
|
Sivasankar, E., and R. S. Rajesh, |
Design and Development of a Clinical Decision Support System for diagnosing appendicitis Computing |
IEEE Communications and Applications Conference |
316-321 |
|
Hong Kong |
2012 |
|
Nithya, B; Mala, C; Sivasankar, E |
A novel cross-layer approach to enhance QoS performance in multihop Adhoc networks |
IEEE Network-Based Information Systems (NbiS) 2014 17th International Conference |
229-236 |
|
Salerno, Italy |
2014 |
|
Srikrishnan, V; Sivasankar, E; Pitchiah, R |
Performance comparison of scheduling distributed mining in cloud |
Networks & Soft Computing (ICNSC) 2014 First International Conference |
375-379 |
|
Guntur, India |
2014 |
|
Sridevi, M; Mala, C; Sivasankar, E; You, Ilsun |
Optimized multilevel threshold selection using evolutionary computing |
IEEE Network-Based Information Systems (NBiS) 2014 17th International Conference |
149-156 |
|
Salerno, Italy |
2014 |
|
Ramya, AV; Sivasankar, E |
Distributed pattern matching and document analysis in big data using the Hadoop MapReduce model |
Parallel, Distributed and Grid Computing (PDGC) 2014 IEEE International Conference |
312-317 |
|
Solan, India |
2014 |
|
Srikrishnan, V; Sivasankar, E; Pitchiah, R |
A log data analytics-based scheduling in open source cloud software |
Parallel, Distributed and Grid Computing (PDGC) 2014 IEEE International Conference |
390-395 |
|
Solan, India |
2014 |
|
Raja, P Vignesh; Sivasankar, E |
A modern framework for distributed healthcare data analytics based on Hadoop |
Information and Communication Technology-Eur Asia Conference, Springer |
348-355 |
|
Bali, Indonesia |
2014 |
|
Selvi, C; Ahuja, Chakshu; Sivasankar, E |
A Comparative Study of Feature Selection and Machine Learning Methods for Sentiment Classification Movie Data Set |
Intelligent Computing and Applications, Springer |
367-379 |
|
New Delhi |
2015 |
|
Mahalakshmi, S; Sivasankar, E |
Cross-domain sentiment analysis using different machine learning techniques |
Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO-2015), Springer |
77-87 |
|
Cham |
2015 |
|
Raja, P Vignesh; Sivasankar, E; Pitchiah, R |
Framework for smart health: toward connected data from big data |
Intelligent Computing and Applications, Springer |
423-433 |
|
New Delhi |
2015 |
|
Muhunthaadithya C, Rohit J.V, Sadhana Kesavan, Sivasankar Elango
|
Topic Modeling: Clustering of Deep Webpages |
Fifth International Conference on Advances in Computing and Information Technology |
19-27 |
Technical and practical aspects of high-performance computing, green computing, pervasive computing, cloud computing |
Chennai, India |
2015 |
|
Sivasankar, E; Vijaya, J |
Customer Segmentation by Various Clustering Approaches and Building an Effective Hybrid Learning System on Churn Prediction Dataset |
Computational Intelligence in Data Mining, Springer |
181-191 |
Advances in Intelligent Systems and Computing |
|
2017 |
|
Sivasankar, E; Selvi, C; Mala, C |
A Study of Dimensionality Reduction Techniques with Machine Learning Methods for Credit Risk Prediction |
Computational Intelligence in Data Mining, Springer |
65-76 |
Advances in Intelligent Systems and Computing |
|
2017 |
|
Vijaya, J., E. Sivasankar, and S. Gayathri |
Fuzzy Clustering with Ensemble Classification Techniques to Improve the Customer Churn Prediction in Telecommunication Sector |
Recent Developments in Machine Learning and Data Analytics |
261-274 |
Advances in Intelligent Systems and Computing |
|
2018 |
|
Singh, B. Emil Richard, and E. Sivasankar |
Enhancing Prediction Accuracy of Default of Credit Using Ensemble Techniques |
First International Conference on Artificial Intelligence and Cognitive Computing |
427-436 |
Advances in Intelligent Systems and Computing |
Hyderabad, India |
2018 |
|
Avinash, M., and E. Sivasankar |
A study of feature extraction techniques for sentiment analysis |
Emerging Technologies in Data Mining and Information Security |
475-486 |
Advances in Intelligent Systems and Computing |
Kolkata, India |
2018 |
|
Selvi, C., and E. Sivasankar |
An efficient context-aware music recommendation based on emotion and time context |
Data Science and Big Data Analytics |
215-228 |
Big data analysis using computational intelligence techniques |
|
2018 |
|
Krishnakumari K, Sivasankar E |
Scalable Aspect-Based Summarization in the Hadoop Environment |
Big Data Analytics, Springer |
439-449 |
Advances in Intelligent Systems and Computing |
|
2018 |
|
Ahuja C, Sivasankar E |
Cross-Domain Sentiment Analysis Employing Different Feature Selection and Classification Techniques |
Information and Communication Technology for Sustainable Development |
167-179 |
Advances in Intelligent Systems and Computing |
Goa, India |
2018 |
|
Vijaya, J; Sivasankar, E |
Improved Churn Prediction Based on Supervised and Unsupervised Hybrid Data Mining System |
Information and Communication Technology for Sustainable Development |
485-499 |
Advances in Intelligent Systems and Computing |
Goa, India |
2018 |
|
Singh, B Emil Richard; Sivasankar, E |
Risk Analysis in Electronic Payments and Settlement System Using Dimensionality Reduction Techniques |
IEEE International Conference on Cloud Computing, Data Science & Engineering |
14-19 |
|
Noida, India |
2018 |
|
Selvi, C; Sivasankar, E |
A Novel Singularity Based Improved Tanimoto Similarity Measure for Effective Recommendation Using Collaborative Filtering |
IEEE International Conference on Cloud Computing, Data Science & Engineering |
256-262 |
|
Noida, India |
2018 |
|
Shriram S, Sivasankar E |
Anomaly detection on shuttle data using unsupervised learning techniques |
International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) |
221-225 |
|
Dubai, UAE |
2019 |
|
Sathyamoorthy, Sruthi, and E. Sivasankar |
A Clustering-based Framework for Fast Training of Classifiers |
International Conference on Innovative Trends in Information Technology (ICITIIT) |
1-6 |
|
Kottayam, India |
2020 |
|
Ganesh, Venkataramana, Vignesh Viswanathan, Harshitha Sanjeev Kumar, and E. Sivasankar. |
Financial Sentiment Analysis: A Study of Feature Engineering Methodologies |
Soft Computing and Signal Processing |
225-240 |
Advances in Intelligent Systems and Computing |
Hyderabad, India |
2021 |
|
A. Sivarajan, E. Sivasankar, Bala Adithya |
Comparing the predictive accuracy of machine learning algorithms for neonatal mortality risk classification |
3rd International Conference on Machine Intelligence and Signal Processing (MISP 2021) |
325-339 |
Lecture Notes in Electrical Engineering |
NIT Arunachal Pradesh |
2021 |
|
A. Sivarajan, Bala Adithya, E. Sivasankar |
Balancing an imbalanced dataset by applying SMOTE variants and predicting neonatal mortality using ensemble learning techniques |
2022 International Conference on Innovative Trends in Information Technology |
1-6 |
|
Online |
2022 |
