Dr. E. Sivasankar

Dr.E.Sivasankar

Name

Dr.E.Sivasankar

Designation

Assistant Professor

Landline

0431-2503213

Mobile

9443744680

E-mail Id

sivasankar@nitt.edu, sivasankarelango@gmail.com

Specialization: Databases, Data Mining, Artificial Intelligence, Big Data Analytics
Google Scholar, Web of Science, NITT - IRINS

Academic Qualifications :

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

Employment Profile

Job Title

Employer

From

To

Assistant Professor

National Institute of Technology, Tiruchirappalli

2007

Present

Details of Academic Work:

  1. Courses taught at Postgraduate and Undergraduate levels
    • Database Management Systems
    • Operating Systems
    • Data Warehousing and Mining
    • Computer Organization
    • Artificial Intelligence
    • Big Data Analytics
  2. Projects guided at the Postgraduate level
    • Emil Richard Singh M.S (By Research) Enactment of Data-analytic Techniques for Credit Risk Analysis
    • Sivarajan A M.S (By Research) Neonatal Mortality Risk Classification using Machine Learning

Details of Major R&D Projects:

Title of Project

Funding Agency

Duration

Status

From

To

Ongoing/ Completed

Artificial Intelligence Based Integrated Logistics Management System (ILMS)

NRB - DRDO

2020

2022

Ongoing

 

 

 

 

 

Number of PhDs guided:

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

Workshops/ Symposia/ Conferences/ Colloquia/Seminars Organized :

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

Membership in Learned Societies:

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

Publications:

(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.,
E. Sivasankar

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.,
E. Sivasankar

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
analysis

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
using state-of-the-art deep learning networks

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

Contact Address

Dr. E. Sivasankar,
Assistant Professor,
Room No. 202 A,
Dept of Computer Science and Engineering,
National Institute of Technology,
Tiruchirapalli -620015.