Mrs. Samatha R Swamy

Assistant Professor

Prof. Samatha's research area of interest are Big Data, Internet of Things and Machine Learning. She holds her Master's Degree in Computer Science and Engineering from Sri Jayachamarajendra College of Engineering (SJCE), Mysore under VTU, Belagavi. She is currently pursuing her Ph.D in Computer Science at Dr. Ambedkar Institute of Technology under VTU, Belagavi.

Computer Science

Undergraduate

Qualification
Qualification Institution Year
Ph.D (CSE) Dr. Ambedkar Institute of Technology (AIT), Bengaluru 2017
M.Tech (CSE) Sri Jayachamarajendra College of Engineering (SJCE), Mysore 2012
B.E (ISE) Vidya Vikas Institute of Engineering and Technology (VVIET), Mysore 2005

Experience
Designation Institution From To
Assistant Professor PES University, Bengaluru 2015 Current
Assistant Professor ACS College Of Engineering - Mysore Road in Bengaluru 2012 2013
Assistant Professor Atria Institute of Technology, Bengaluru 2011 2012
Lecturer R V College of Engineering, Bengaluru 2007 2008
Lecturer GSSS Institute Of Engineering And Technology For Women, Mysore 2005 2007

Awards / Achievement
  • Qualified GATE - 2008 for Master's Degree.


Institutional Membership
  • IEEE (Institute of Electrical and Electronics Engineers) Membership

Additional Information
  • DOJ : 9th March, 2015 Experience : 4.5 years
Responsibilities
  • Infrastructure Coordinator
  • Introduction to Operating Systems Laboratory In charge

Responsibilities Held
  • Theory Anchor
  • Lab Incharge
  • Teaching Assistant
  • Class Teacher
  • Faculty Advisor
Expertise / list of subjects handled
  • Object Oriented Modeling and Object Oriented Modeling and Design for 7th Semester students.
  • Unix System Programming for 6th Semester students.
  • Social Area Networks for 7th Semester students.
  • Problem Solving with C for 1st Semester students.
  • Introduction to Operating Systems for 5th Semester students.
  • Cloud Computing for 6th Semester students.
Research Interest
  • Big Data Analytics
  • Internet of Things
  • Machine Learning