|
| Designation | : | Assistant Professor |
| Nature of Employment | : | Regular |
| Qualification | : | B.E.,M.E.,Ph.D |
| Phone | : | +91 44 2275 1347,48,50 (Office) |
| Email ID | : | dharini@byt.digital/wordpress/crescent |
Education
| Degree | Discipline | Year of Passing | University |
|---|---|---|---|
| Ph.D | Computer Science | 2021 | Vellore Institute of Technology, Chennai |
| M.E. | Software Engineering | 2011 | Anna University, Chennai |
| B.Tech. | Information Technology | 2009 | Anna University, Chennai |
Work Experience
| Designation | Institution | Duration | No. of Years |
|---|---|---|---|
| Assistant Professor | B.S. Abdur Rahman Crescent Institute of Science & Technology | September 2021 to till date | Till date |
| Assistant Professor | Rajalakshmi Engineering College, Chennai | June 2011 To December 2013 | 30 months |
Lecture Courses
- Full stack mobile application development – Back End
- Gaming Technology
- Usability Engineering
Area of Research Interest
- Social Media Text Analytic
- Artificial Intelligence
Publication
- Dharini Ramachandran, and Parvathi Ramasubramanian. ”Event detection from Twitter– a survey.” International Journal of Web Information Systems 14.3 (2018): 262-280, Scopus Indexed (https://doi.org/10.1108/IJWIS-11-2017-0075)
- Dharini Ramachandran, and R. Parvathi. ”Enhanced Event Detection in Twitter Through Feature Analysis.” International Journal of Information Technology and Web Engineering (IJITWE) 14.3 (2019): 1-15, Scopus Indexed (https://doi.org/10.4018/IJITWE.2019070101)
- Dharini Ramachandran, and R. Parvathi. ”Analysis of Twitter Specific Preprocessing Technique for Tweets.” Procedia Computer Science 165 (2019): 245-251, Scopus Indexed(https://doi.org/10.1016/j.procs.2020.01.083)
- Dharini Ramachandran, and R. Parvathi, ”Enhanced Classification of Crisis Related Tweets Using Deep Learning Models and Word Embeddings” in International Journal of Web Engineering and Technology, 16(2), pp.158-186. – Scopus Indexed (https://doi.org/10.1504/IJWET.2021.117773)
- Dharini Ramachandran, and R. Parvathi. ”A Novel Domain and Event Adaptive Tweet Augmentation Approach for Enhancing the Classification of Crisis Related Tweets”, in Data & Knowledge Engineering (2021) – In Press- SCI and Scopus Indexed (https://doi.org/10.1016/j.datak.2021.101913)
