Ms. Swati Jain Kansal

Assistant Professor

Interest Area(s)

  • NLP
  • Machine Learning

Ms. Swati is presently an Assistant Professor at K.R. Mangalam University with over 12 years of experience in education and 2 years of experience industry. She is currently pursuing Ph.D. in Computer Science.

Pursuing PH. D. in computer Science
MTech Computer Science & Engg.

1.   Netaji Subhas University of Technology, New Delhi – Sep 2022 to August 2025 (3 yrs.)

  • Worked as a Visiting Faculty in Bachelor of Technology (B.Tech.)
  • Courses Undertaken: Data Structures, Web Technology, Operating Systems, Theory of Formal Languages and Automata, Python, Design and Analysis of Algorithm

2.   Integrated Institute of Technology (IP University), New Delhi – Aug 2016 to Mar 2022] (5.5 yrs.)

  • Worked as a Visiting Faculty in BCA
  • Courses Undertaken: E-Commerce, Core Java, net, Free and Opensource Systems, PHP, Software Testing

3.   Bhai Parmanand Institute of Business Studies, Delhi – Aug 2014 to May 2015 (10 months)

  • Worked as Visiting Faculty
  • Courses Undertaken: Fundamentals of Information Technology, Database Management System

4.   Ideal Institute of Technology (UP Technical University), Ghaziabad, U.P. – Aug 2010 to Jul 2013 (3 years)

  • Worked as Full Time Lecturer in Computer Science & Engineering Department
  • Courses Undertaken: Computer Concepts & Programming in ‘C’, Operating

System

Industry Experience

January 2008 to June 2010 (2 Years 6 Months)

1. Software Engineer at SDG Software India Pvt. Ltd. (Jan’08 – Sep’09)

Roles & Responsibility

  • Experience of directly interacting with US based Clients
  • Understanding of the Software Development Lifecycle
  • Worked as a developer on multiple technologies like: PHP, JavaScript, XSLT, XML, MYSQL and HTML

2.Bharat Electronics Limited – Central Research Laboratory (Oct’09 – Jun’10)

  • A study on Equivalent Mutants Detecting Techniques.” VSRD international Journal of Computer Science And Information Technology

An Intelligent NLP -Based Framework for Automated Depression Detection in Social Medi Networks. (IEEE conference on Big Data & Machine Learning)