Mrs. Radhika K R

BE M Tech, (PhD) , Assistant Professor

Experience:

Teaching : 15
Research : 3


4922

Specialization

  • Computer Science and Engineering

Memberships in professional bodies

  • IEEE
  • MIE

Skills

  • Technical:Data structure
  • OOPS
  • Operating Systems
  • Unix system Programming
  • DBMS
  • Advanced DBMS

Workshops/FDPs/Conferences/Seminars/Internships attended

Details Date
Computational Machine Learning and Artificial Intelligence: Enabling cutting edge skills to build the futureā€ 18-01-2018
Design & Analysis of Algorithms and Microprocessors Laboratory 23-01-2017
Six sigma for Engineering Faculty 17-06-2016
Design of Everything: opportunities in Internet of Things 11-01-2016
HPC,CUDA and Parallel Programming Using Mathematica 07-07-2014
Advances in Data Mining 06-09-2013
Mission 10X 21-12-2012
Evolution of Information Technology 14-05-2011
Linear Algebra 29-04-2011
Recent Advances in Data Mining and its Applications 11-03-2011
Ph.d in Computer science : A perspective 02-07-2010
Theory of Computing &Applications 28-06-2010

Courses Taught

  • Managing Big Data
  • Design and Analysis of Algorithms
  • Database Management Systems
  • Advanced Database Management Systems
  • Advanced Computer Architecture
  • Software Architecture
  • Object Oriented Programming System
  • Unix System Programming

Additional Responsibilities

  • Time Table Co-ordinator
  • Department PBL(Project Based Learning) Co-ordinator

Journals

Journal Name Journal Type Volume Number Issue Number ISSN ISBN Paper Title
International Journal of Scientific & Engineering Research Research Journal 6 11 ISSN 2229-5518 Insights to Existing Techniques of Subspace Clustering in High-Dimensional Data

Papers Presented In Conferences

Conference Name Conference Type Place Conference Date Days Paper Title
IEEE International Conference on Advances in Computing, Communication and Informatics International Manipal University 13-09-2017 4 RMSC:Robust Modeling of Subspace Clustering in High Dimensional Data
IEEE International Conference on Computational Techniques in Information and Communication Technlogy International GGIPU, New Delhi 11-03-2016 3 EDSC:Efficient Document Clustering in High Dimensional Data

Online/MOOC Courses Taken

Course Name Registration Details Completed
Machine Learning by Stanford University Coursera No