C. Selvi

Asst. Professor, Computer Science, School of Engineering, Coimbatore
Qualification: 
M.E, BE
c_selvi@cb.amrita.edu

C. Selvi currently serves as an Assistant Professor at the department of Computer Science and Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore.

Education

  • 2013-2018: Ph. D. (CSE) (Thesis Submitted on July 5, 2018)
    National Institute of Technology, Tiruchirappalli
  • 2010-2012: M. E.(CSE)
    Gnanamani College of Technology, Namakkal
  • 2006-2010: B. E. (Information Technology)
    Avinashilingam University for Women, Coimbatore

Work Experience

Year Affiliation
July 9, 2018 – Present Assistant Professor, Amrita School of Engineering, Coimbatore
July 31, 2013 – July 5, 2018 Research Scholar (Full Time), National Institute of Technology
June 4, 2012 – April 30, 2013 Assistant Professor, Selvam College of Technology, Namakkal

Seminars, Workshops and Conference Attended

S.No. Name of the Seminars / Workshops / Conference Date Name of Organizing Institution & Venue
1. International Conference on Advanced Computing Technology (ICACT 2012) March 9-10, 2012 J.K.K.Nattaraja College of Engineering and Technology, Komarapalayam, Tamil Nadu
2. Intelligent Computing and Applications December 22-24, 2014 National Institute of Technology, Durgapur
3. Computational Intelligence in Data Mining December 10-11, 2016 KIIT University Bhubaneswar
4 International Symposium on Data Science and Big Data Analytics January 5-6, 2018 Sri Aurobindo Institute of Technology, Indore
5 International Conference on Cloud Computing, Data Science & Engineering January 11-12, 2018 Amity University, Noida
6 Advanced Communications and Networking January 8, 2009  Avinashilingam University for Women, Coimbatore
7 Fourth National Conference on Recent Trends in Information and Intelligent System (RTIIS 12) March 17, 2012 Velalar College of Engineering and Technology, Thindal, Erode, Tamil Nadu
8. DRDO Sponsored Third National Conference on Innovations in Information Technology (NCIIT 12) February 24-25, 2012 Bannari Amman Institute of Technology, Coimbatore, Tamil Nadu
9. National Conference on Distributed Machine Learning (NCDML’15) February 20-21, 2015 SSN College of Engineering, Chennai, Tamil Nadu
10 Theory of Computation February 17, 2012 Sengunthar Engineering College, Tiruchengode
11 TEQIP-II Sponsored workshop on Research Methods and LaTeX September 20-21, 2013 National Institute of Technology, Tiruchirappalli
12 TEQIP-II sponsored One Week Faculty Development Programme on Data Mining Techniques and Tools-Research Perspective November 11-17, 2013 Coimbatore Institute of Technology, Coimbatore
13 Workshop on Introduction to CUDA C/C++ March 21, 2014 National Institute of Technology, Tiruchirappalli
14 Workshop on Big Data Analytics using Hadoop Eco System Tools August 12-14, 2014 CDAC Chennai
15 CIT-IBM one weel research programme on Statistical and Mathematical Modelling for Computer Science Research February 10-16, 2014 Coimbatore Institute of Technology, Coimabtore
16 TEQIP-II sponsored Five Days Technology Workshop on Architecture, Algorithms, Analytics for Big Data using Cloud and Distributed Computing March 7-11, 2014 NIT Warangal and CDAC Pune
17 Two Days Workshop on R Programming Languages, October 16-17, 2015 National Institute of Technology, Tiruchirappalli
18 TEQIP-II sponsored Workshop on Data Analytics Concepts and Techniques for Business Intelligence August 8-13, 2016 National Institute of Technology, Tiruchirappalli
19 Four Days Short Term Course on Analytics January 19-22, 2017 National Institute of Technology, Tiruchirappalli
20 One Week Short Term Course on Introduction to Soft Computing Techniques October 26-30, 2017 National Institute of Technology, Tiruchirappalli
21 One Week Short Term Course on Advanced Concepts in Databases and Data Analytics November 6-10, 2017 National Institute of Technology, Tiruchirappalli
22 Emerging trends in Nanotechnology February 23, 2007 Avinashilingam University for Women, Coimbatore
23 National level workshop on Soft Computing Techniques using MATLAB- A Practical Approach August 26-27 2013 Kongu Engineering College, Perundurai, Tamil Nadu
24 Tutorial session on Systematic Approach towards Research on Machine Learning and Distributed Computing February 20-21, 2015 SSN College of Engineering, Chennai

Reviewer

  • 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018) (still in progress)

Honors / Awards / Recognitions

Name of the Honor/Award / Recognition Received Name of the Agency Month & Year of Receiving the Honor/Award / Recognition
Secured 82% of mark Online edx conducted by Indian Institute of Management Bangalore January 12- 20, 2016
Secured rank 27 The Ultimate Student Hunt conducted by Analytics Vidhya September 24, 2016 to October 2, 2016
Secured Rank 17, won 25% discount on the tickets of DataHack Summit 2017 - Conference on Artificial Intelligence & Machine Learning Student Hunt conducted by Analytics Vidhya October 14-15, 2017

Papers Presented in Conferences, Seminars, Workshops, or Symposia

S. No. Title of the Paper Name & Location of the International Conference/ Seminar/ Workshop/ Symposium Names of Co-authors if any Date and or Month, and Year of Presentation
1 Connected Component and Region based Approach to Detect Color Texts in Natural Scence Images International Conference on Advanced Computing Technology (ICACT 2012) Selvi C J.K.K.Nattaraja College of Engineering and Technology, Komarapalayam, Tamil Nadu
2 A Comparative Study of Feature Selection and Machine Learning Methods for Sentiment Classification on Movie Data Set Intelligent Computing and Applications Selvi, C., Chakshu Ahuja, and E. Sivasankar. National Institute of Technology, Durgapur
3 A Study of Dimensionality Reduction Techniques with Machine Learning Methods for Credit Risk Prediction Computational Intelligence in Data Mining Sivasankar, E., C. Selvi, and C. Mala. KIIT University Bhubaneswar
4 An efficient Context-aware Music Recommendation based on Emotion and Time Context International Symposium on Data Science and Big Data Analytics Selvi, C., and E. Sivasankar. Sri Aurobindo Institute of Technology, Indore
5 A Novel Singularity based Improved Tanimoto Similarity Measure for Effective Recommendation using Collaborative Filtering International Conference on Cloud Computing, Data Science & Engineering Selvi, C., and E. Sivasankar. Amity University, Noida
6 Detecting and Localizing Color Text in Natural Scene Images using Region based and Connected Component method Fourth National Conference on Recent Trends in Information and Intelligent System (RTIIS 12) Selvi C Velalar College of Engineering and Technology, Thindal, Erode, Tamil Nadu
7 A Novel Hybrid Approach To Detect and Localize Color Texts in Natural Scene Images DRDO Sponsored Third National Conference on Innovations in Information Technology (NCIIT 12) Selvi C Bannari Amman Institute of Technology, Coimbatore, Tamil Nadu
8 Explainable Recommendation System Based on Aspect- Level Sentiment Analysis National Conference on Distributed Machine Learning (NCDML’15) Selvi, C., and E. Sivasankar. SSN College of Engineering, Chennai, Tamil Nadu

Publications

Publication Type: Journal Article
Year of Publication Publication Type Title

2018

Journal Article

C. Selvi and Sivasankar, E., “A Novel Similarity Measure Towards Effective Recommendation using Matusita Coefficient for Collaborative Filtering in a Sparse Dataset”, International Journal-Academy Proceedings in Engineering Sciences, 2018.

2017

Journal Article

C. Selvi and Sivasankar, E., “A Novel Optimization Algorithm for Recommender System using Modified Fuzzy C-means Clustering Approach”, Soft Computing, pp. 1 - 16, 2017.

2013

Journal Article

C. Selvi, Mohanabharathi, R., and Surender, K., “Detecting and Localizing Color Text in Natural Scene Images Using Region Based & Connected Component Method”, International Journal of Modern Engineering Research, vol. 3, no. 1, pp. 331- 335, 2013.

2013

Journal Article

C. Selvi, ,, and Dhivya, S., “Efficient Image Retrieval Using Indexing Technique”, International Journal of Modern Engineering Research, vol. 3.1, pp. 472 - 476, 2013.

Publication Type: Conference Proceedings
Year of Publication Publication Type Title

2018

Conference Proceedings

C. Selvi and Sivasankar, E., “An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context”, Lecture Notes on data Engineering and Communications Technologies. Indore, 2018.[Abstract]


The enormous growth of Internet facilities, the user finds difficulties in choosing the music based on their current mindset. The context-aware recommendation has turned out to be well-established technique, which recommends a music based on the mindset of the user in various contexts. To enhance the potential of music recommendation, the emotion and time interval are considered as the most important context. Emotion context is not explored due to the difficulty in acquisition of emotions from user's microblogs on the particular music. This paper proposes an algorithm to extract the emotions of a user from microblog during a different time interval and represented at different granularity levels. Each music piece crawled from online YouTube repository is represented in a triplet format: (User{\_}id, Emotion{\_}vector, Music{\_}id). These triplet associations are considered for developing several emotion-aware techniques to provide music recommendations. Several trial of experimentation demonstrates that the proposed method with user emotional context enhances the recommendation performance in terms of hit rate, precision, recall, and F1-measure.

More »»

2018

Conference Proceedings

C. Selvi and Sivasankar, E., “A Novel Singularity based Improved Tanimoto Similarity Measure for Effective Recommendation using Collaborative Filtering.”, International Conference on Cloud Computing, Data Science & Engineering. Noida, 2018.

2016

Conference Proceedings

E. Sivasankar, C. Selvi, and Mala, C., “A Study of Dimensionality Reduction Techniques with Machine Learning Methods for Credit Risk Prediction”, Computational Intelligence in Data Mining. Springer Singapore, Singapore, 2016.[Abstract]


With the huge advancement of financial institution, credit risk prediction assumes a critical part to grant a loan to the customer and helps the financial institution to minimize their misfortunes. Despite the fact that there are different statistical and artificial intelligent methods available, there is no single best strategy for credit risk prediction. In our work, we have used feature selection and feature extraction methods as preprocessing techniques before building a classifier model. To validate the feasibility and effectiveness of our models, three credit data sets are picked namely Australia, German, and Japanese. Experimental results demonstrates that the SVM classifier performs better among several classifier methods, i.e., NB, LogR, DT, and KNN with LDA feature extraction technique. Test result demonstrates that the feature extraction preprocessing technique with base classifiers are the best suited for credit risk prediction.

More »»

2014

Conference Proceedings

C. Ahuja, Sivasankar, E., and C. Selvi, “A Comparative Study of Feature Selection and Machine Learning Methods for Sentiment Classification on Movie Data Set”, Intelligent Computing and Applications. ACM, New York, NY, USA, 2014.
Faculty Research Interest: 
Data Mining, Data Base Management Systems, Machine Learning, Recommender System, Sentiment Analysis and Predictive Analytics
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