Designation : Associate Professor (Computer Science and Engineering)
Edu. Qualification : M Tech (CSE), Ph.D
Specialization :
Total Experience : 10 Years
JNTUH ID : 4382-150427-200333
AICTE ID : 1-7354084512
E-Mail : kmasthan@sphoorthyengg.ac.in
Teaching Experience
10 Years
Publications
“A Novel Machine Learning Framework for Tracing Covid Contact Details by using Time Series Locational data & Prediction Techniques”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol.11, No.2s (2017), 185-204. (Scopus Indexed Journal)
“Secured Information Sharing in Mobile Cloud Computing using Access Controls”, International Journal of Innovative Technology and Exploring Engineering. Vol.8, No.12 (2019) (Scopus Indexed Journal)
Patents Published
“PREDICTION OF DISEASES IN VEGETABLES USING MACHINE LEARNING ALGORITHM”
"SENSOR BASED INTELLIGENT DIGITAL NOSE FOR ANALYSING THE BREATHING LUNG CANCER PATIENTS USING MACHINE LEARNING",
Faculty development programs attended
FDP on “Advanced Web Technologies” conducted at C-DAC Hyderabad during from 18th to 27st May 2016
Participated in a Two Day National Level Workshop on Android App Development on 14th to 15th March 2016.
