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
| Year of Publication | Publication Type | Title |
|---|---|---|
|
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. |
|
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 »» |
|
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. |
| 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, ,, and Dhivya, S., “Efficient Image Retrieval Using Indexing Technique”, International Journal of Modern Engineering Research, vol. 3.1, pp. 472 - 476, 2013. |
|
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. |
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