Dr. Ramesh Karnati

Department:
Information Technology
Faculty Id:
VCE1261
Designation:
Associate Professor
Years of Experience:
15 years
Employment Status:
Not Ratified by JNTUH
Phone:
7702891853

Date of Birth:

11 March 1983

Areas of Specialization :

Data Mining, AI & Machine learning

Qualification

Ph.D. in Data Mining, 2017, National Institute of Technology, Warangal
PG Degree in CST-AI&R,2009, Andhra University College of Engineering (Autonomous), Visakhapatnam
UG Degree in CSE,2005, Lenora College of Engineering, Rampachodavaram

Subjects Taught:

  • Problem Solving using C, C & Data Structures
  • Data Science
  • Compiler Design
  • Data Base Management System
  • Data Structures using C++
  • Operating Systems
  • Principles of Programming Languages
  • Data Mining and Data Warehousing
  • Formal Languages & Automata Theory
  • Problem Solving with Python
  • Basics of IoT and Robotics

Papers Published:

  1. Ramesh Karnati and Dr.R.B.V Subramanyam, “Efficiently Maintaining and Discovering Sequential Patterns with Sequence Deletion using Discovered Sequences”, International Journal of Applied Engineering Research, vol. 11, no. 1, (2016), pp. 685-691. (Scopus)
  2. Mining Closed Sequential Patterns in Progressive Databases, Journal of Information and Knowledge Management (World Scientific), Vol.12, no: 3, 2013. (Scopus)
  3. Dr. Ramesh Karnati and Dr. Somaraju Suvvari, “A Sliding Window Based Approach for Closed Frequent Itemsets with Weight Decrease Concept over Data Streams”, Journal of Adv Research in Dynamical & Control Systems, Vol. 11, Issue-07, 2019. (Scopus)
  4. Ramesh Karnati, C Deekshitha Reddy, Sofia, Aarathi J: “Data Science Process Pipeline to Solve Employee Attenuation: Attrition Prediction: Turkish Online Journal of Qualitative Inquiry: Volume 12, Issue 3, July 2021: 5120-5128 (Scopus)

Poster Presentations:

  1. Presented poster presentation on “Sequential Patterns in Variable Size Sliding Window using Past Knowledge” at TCS Technical Architect’s conference (TACTICS) in Chennai from 27th -28th March 2012.
  2. Participated and presented work at “ANALYTICS: SCIENCES, TECHNOLOGY AND APPLICATIONS”, TACTICS SYMPOSIUM 2012-2013, 12th Feb 2013

Patents Published:

  1. A GENERIC FRAMEWORK FOR BUSINESS INNOVATION THROUGH SOCIAL NETWORKS, APNO: 202141010013, Date: 19/03/2021
  2. INTELLIGENT MOBILE AAPS: DETECT FACE, FINGER PRINT, VOICE THEN PROVIDE AGE, GENDER, COUNTRY NAME, FULL PROFILE WITH IMAGE, APNO: 202141005762, Date: 26/02/2021

Research Projects Undertaken:

None