Computer Science Engineering > Dr. K.C.Sreedhar

Dr. Chenchu Sreedhar Kakarla

Associate Professor
AICTE ID: 1-2921468068
JNTU ID: 6834-160225-110201
At Sreenidhi Institute of Science and Technology we have always endeavoured for excellence, aiming to equip the engineers of tomorrow with the skills and exposure to be forefront of their field

Educational Qualifications

Ph.D(CSE)

M.Tech(CS)

B.Tech(CSE)

Professional Experience

16 Years Exprience

Teaching Subjects

01

C Programming

02

Database Management System

03

Data Warehousing and Data Mining

04

Computer Organization and Architecture

05

Distributed Systems

06

Principles of programming Languages

07

Computer Graphics

08

Advanced Data Structures

09

Software Testing Methodologies

10

Web Technologies

11

Cloud Computing

12

Artificial Intelligence

13

Digital Logic Design and Computer Organistion

14

Artificial Intelligence and Neural Networks

Workshops & FDPs attended

01

An FDP of 10 days on "Database Management Systems" at NIT Warangal from 17-8-2015 to 27-10-2015.

02

An FDP of 5 days on "Database design and Programming with SQL" at QISCET,Ongole from 3-11-2014 to 7-11-2014.

03

An one day FDP on "Research Methodology and Innovation" at QISCET ,Ongole on 29-11-2014.

04

A two week FDP on "Recent Trends in Global Data Mining&Data Warehousing" at QISCET,Ongole from 16-5-2013 to 29-5-2013.

05

A two day FDP on "Research Methodology" at QISCET,Ongole during 19-10-2013 to 20-10-2013.

Publications

01

An optimal cloud-based e-healthcare system using k-centroid MVS clustering scheme

02

A genetic TDS and BUG with pseudo-identifier for privacy preservation over incremental data sets

03

An optimal decision making system for citizens in COVID-19 pandemic world

04

A novel approach to doctor’s decision making system using Q learning Privacy Preservation of e-health Data in Cloud through Optimal Item set Mining

05

Privacy Preservation of e-health Data in Cloud through Optimal Item set Mining

06

Green Personalized Privacy Preservation of e-health Data through Multi-objective Weighted Clustering and Optimal Item set Mining

07

Attacks in anonymizing incrementally updated data records

08

A novel approach to improve the training of Deep Convolutional Networks

09

An improved web information system through identification of faculty browsing patterns in affiliated engineering institutions

10

A cloud based privacy preserving e-healthcare system using whale optimization

11

A cloud based privacy preserving e-healthcare system using particle swarm optimization

12

A Framework For Protecting The Privacy In Web Search, International Journal of Science Engineering and Advance Technology, IJSEAT, Vol 3, Issue 10, OCTOBER – 2015

13

Ensuring Distributed Accountability for Data sharing in the cloud, G.Malleswari,K.C.Sreedhar,Int.J.Modern Computer Science and Applications,Volume No.-3, Issue No.-2, April, 2015

14

Improved Persuasive Cued Click Points For Knowledge-Based Authentication, M.Ashwini,,K.C.SreedharInt.J.Computer Technology &Applications,Vol 5 (6),

15

Scalable and Robust Hierarchical Group of Data in Wireless Sensor Networks,K.Venkata Narayana, K.C. Sreedhar,Int.J. Engineering Research and Applications, Vol. 4, Issue 12( Part 6), December 2014