Ms Bharathi A – Bannari Amman Institute of Technology

Experience Type	Organization	Date of Joining	To	Total Experience
Engineering	BIT-Sathy	06.06.2016

Degree	Specialization	Institute	University	Year of Passing
B.E.	Computer Science and Engineering	University College of Engineering Tindivanam	Anna University, Chennai	2014
M.E.	Computer Science and Engineering	Government College of Technology Coimbatore	Anna University, Chennai	2016

Arun Shalin L.V, Bharathi A,Prasanth T, “Analysis of Multi Cluster Projection on High Dimensional Data Based on Forest Scenario”, IEEE International Conference on Advances in Computing, April 2019

A Bharathi , S Surya Prakash, “An approach to predict taxi passenger demand using quantitative histogram based on uber data”, IEEE International Conference on Advances in Computing and Communication Engineering (ICACCE â?? 2019), April 2019

K Priyadharsnee, “Robust Sybil Attack Detection mechanism for Social Networks”, International Conference on Cyber Physical Systems for Next Generation Computing, BIT, Department of CSE and IT, Sathyamangalam, March 2018

K Priyadharsnee , “IoT Based Smart Home and Irrigation Systems”, International Conference on Cyber Physical Systems for Next Generation Computing, BIT, Department of CSE and IT, Sathyamangalam, March 2018

A Bharathi, “Indoor Blind Navigation System Using QR Codes”, National Conference on Open Data Science and Computing, Department of Information Technology, BIT, March 2017

A Bharathi, “Robust Sybil Attack Detection Mechanism for Social Networks – A Survey”, International Conference on Advanced Computing and Communication Systems, Sri Eshwar College of Engineering, Coimbatore, January 2016

A Bharathi, “Hybrid Clustering Framework Using Concurrency and Constraints”, International Conference on Trends in Technology for Convergence, AVS Engineering College, Salem, April 2014

S.No.	Subject Area
1	Operating System
2	Data Analytics

S.No.	Title	Date	Reg. No.	Status	Level	Funding Agency
1	Antenatal Care	29.11.2019	201941049448	In Progress	National Level
2	SMART TEA LEAF QUALITY GRADING SYSTEM	16.10.2020	90751	In Progress	National Level