nisy

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

NISYJP
Nisy John Panicker
Assistant Professor
Mob :9400727700
email :[email protected]
Profile
 Educational Qualifications

Qualification University /Institution Specialization Year 
B.Tech CUSAT Computer Science & Engineering  2012
M.Tech CUSAT Computer and Information Science 2015

 

Professional Experience

Teaching 1 year
Industry Nil
 Area of Interest

  • Data Mining
  • Machine Learning
  • Image Processing
Fellowship/Memberships in professional bodies

  • IEEE
  • Member of Internet Society (Member ID: 148400)
  • Member of International Association of Engineers (Member No: 182286)
  • IAENG Society of Artificial Intelligence (Member No: 182286)
  • IAENG Society of Computer Science (Member No: 182286)
  • IAENG Society of Data Mining (Member No: 182286)
  • Member of International Computer Science and Engineering Society (Membership ID: 882)
Details of International Journal Publication

  1. “Application to detect obscene images in external devices using CNN.” International Journal of Advanced Research Methodology in Engineering & Technology, 1.4 (2017): 53-57.
  2.  “Content based image retrieval using texture structure histogram and color.” Innovative trends in science, engineering and management (ICITSEM-16), Panaji, India (2016): 28-29
  3. “FILTERING THE WALLS IN ONLINE SOCIAL NETWORKS” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE): Volume 5, Isuue 5, May 2015 Page 718-722
Details of Conference papers

  1. “Content Based Image Retrieval Using Texture Structure Histogram and Color” in International Conference on “Innovative Trends in Science, Engineering and Management” held on 27th May 2016 at International Conference Centre YMCA, New Delhi.
  2. “Application to Detect Obscene Images Using CNN in External Devices” in International Conference on Research Trends in Engineering, Science & Technology (IER-RTEST’17) held on 15th July 2017 at Hotel Seven Hills, Trivandrum, Kerala organized by Institute of Engineering Research, Salem.
Details of Courses Taught

B.Tech

  1. Analysis and Design of Algorithms
  2. Distributed Computing
  3. Computer Graphics
  4. Design and Engineering
  5. Data Structures
  6. Mobile Computing
  7. Discrete Computational Structures
  8. Machine Learning

M.Tech

  1. Advanced Digital Image Processing
  2. Image Analysis and Recognition