Faculty Profile

Name :

Ms. Surbhi Bhatia

Email :


Designation :

Assistant Professor


  • Ph.D. (Computer Science), 2014 (Pursuing) from Banasthali University, Rajasthan.
  • M.Tech. (Computer Science), 2010-2012 from Amity University, Noida.
  • B.E.  (Information Technology), 2006-2010 from Maharishi Dayanand university, Rohtak.


Work Experience

  • 2011-2012  :  Lecturer, V.V. Technologies Society (Sikkim Manipal University), Faridabad
  • 2012-2016  :  Assistant Professor (CSE), Echelon Institute of Technology, Faridabad
  • 2016-2017  :  Assistant Professor (CSE), SOET, KR Mangalam University, Gurgaon 

Prior to joining K.R.Mangalam University, Gurgaon, Surbhi Bhatia has worked at Echelon Institute of technology (CSE) as an Assistant Professor since 2012. She is pursuing Ph.D. (2014) in Computer Science in the area of Opinion Mining from Banasthali University, Rajasthan. She has done M.Tech. In Computer Sc.(2012) from Amity University and B.E. in Information Technology (2010) from Maharishi Dayanand University.

Surbhi Bhatia has a total of 6 years of teaching experience and has guided two  M.Tech.  Dissertations. She is member of professional bodies like CSI, IEEE. She has published 16 research papers in various International/National Journals and International/National Conferences.  Her area of interest includes Data mining, Sentiment Analysis, Information Extraction, Genetic algorithms. In addition to teaching conventional CS courses like Data Structures, Operating systems, Data warehousing & Data Mining. She is passionate about teaching and her critical thinking skills make her a good researcher. She is a great communicator having infallible optimism in every situation. She makes sure that whatever subject she is teaching meets the highest standards.

She has also participated in Industrial visit, student’s career development training and placements of B.TECH, MTECH students. She is the coordinator of Computer Club at SOET. So, has engaged herself in encouraging the students to organize, participate in event competitions, new software technology training, and school’s club activity.

Interest Area(s)

  • Data Mining
  • Sentiment Analysis
  • Information Extraction
  • Database Management systems

  • Data Mining
  • Sentiment Analysis
  • Information Extraction
  • Database Management systems
Conferences/ Symposiums


  1. Strategies for Mining Opinions: A Survey, In Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on 2015 Mar 11 (pp. 262-266). IEEE.
  2. Customer Churn Analysis in Telecom Industry, In Reliability, Infocom Technologies and Optimization (ICRITO)(Trends and Future Directions), 2015 4th International Conference on 2015 Sep 2 (pp. 1-6). IEEE.
  3. New improved technique for initial cluster centers of K means clustering using Genetic algorithm  In Convergence of Technology (I2CT), 2014 International Conference for 2014 Apr 6 (pp. 1-4). IEEE.
  4. Breaking AES using Genetic Algorithm ((ICECT) 2012, IEEE Conference, Kanyakumari, India. ISBN: 978-1-4673-1849-5.
  5. Quantum Cryptography, New Era of Security. (NCNGCIS-2011, IIMS Noida)
  6. Photonic Crystal Fibers: The Future of Telecommunications ((NCNS'11) IET, Alwar).
  7. Novel Approach to DNS based Cryptography(National Conference-RTCSIT-2013, Echelon Institute Of technology)
  8. 8.Comparative Analysis of K-Means Clustering using Genetic Algorithm(National Conference-RTCSIT-2013, Echelon Institute Of technology)



“Sentiment Analysis and Mining of Opinions”, In Book “Internet of Things and Big Data Analytics toward Next Generation Intelligence", Springer, 2017. (Accepted)