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Dr. Veena N

Associate Professor


Qualification : B.E, M.Tech , Ph.D

Teaching Experience : 17 Years

Research Experience : 3 Years

Specialization : Brain Computer Interface



Memberships in Professional Bodies
  • LMISTE
Skills
  • c
  • c++
  • WEB
  • Java
  • Python
Invited Talks Delivered : ---

Workshops Attended/Organized/Invited Talks
  • A Survey on Face Recognition Technology (NCRTIT-16)
  • Classification of physiological diseases using EEG Signals and Machine Learning Techniques((IJRET)
  • Comparative Analysis of Classification Algorithms for Student Performance

Additional Responsibilities
  • Feedback Coordinator from 2016 till date
  • Proctor Coordinator from 2016 till date
  • BIMS Coordinator
  • NBA Criteria 6 coordinator at Dept Level
  • Stock verfication coordinator in 2015
  • Time Table Coordinator from February 2020
  • Acadamic Monitoring Coordinator from February 2020

Journals
Journal Name Journal Type Volume Number Issue Number ISSN ISBN Paper Title
Jour of Adv Research in Dynamical & Control Systems, Vol. 10, 08-Special Issue, 2018 Scopus Indexed 10 08-Special Issue ISSN 1943-023X Cloud Based Remote Diagnosis and Treatment System Using ANN
International Journal of Applied Engineering Research Google Scholar 13 ISSN 0973-4562 Heart Disease Prediction on Continuous Time Series Data with Entropy Feature Selection and DWT Processing
International Journal of Recent Technology and Engineering Scopus 3 2 2277-3878 Converting Intent of Physically Impaired into Text using Eye Blink Detection
International Journal of Biomedical Engineering and Technology A review of non-invasive BCI devices
International Journal of Science Technology & Engineering (IJSTE). 4 2 2349-784x Comparative Analysis of Classification Algorithms for Student Performance

Conferences
Conference Name Venue Date Paper Title

Awards/Recognition/Achievements/Others
  • Secured 2nd Rank in MTech, from VTU
  • Received an Award for successfully getting 100% Result in Cambridge Institute of Technology
  • Maintained consistent Feedback above 90%

MOOCs
  • Machine Learning - Stanford University
  • Machine Learning With Big Data (2015) - University of California San Diego
  • Programming for Everybody (Getting Started with Python) - University of Michigan
  • Learn to Program: The Fundamentals - University of Toronto
  • Java Tutorial for Complete Beginners - Udemy
  • Basics of Scrum, Agile and Project Delivery - Udemy
  • Modern web development course: beginner to advanced - Udemy
  • Welcome to M001: MongoDB Basics - MongoDB University
  • Web Development - Udemy
  • Datastructures - Udemy