Mr. Upendar Para

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Department:
Computer Science & Engineering
Faculty Id:
VCE1170
Designation:
Assistant Professor
Years of Experience:
8 Years
Employment Status:
Full Time – Ratified by JNTUH
Faculty Web Page:

Upendar Web Page

DOJ:

17/10/2017

JNTU ID:

06150402-152347

Years of Industry Experience:

Nil

Years of Research Experience:

Nil

Ph.D. Guide:

No

Number of PhDs Awarded under your supervision:

Nil

Number of PhD scholars, Currently Supervising:

Nil

Number of Patents Published:

Nil

Number of Patents Granted:

Nil

AICTE ID:

1-3538398464

Phone:
919666342420

Date of Birth:

14 August 1985

Areas of Specialization :

Data Mining, Machine learning, Image Processing

Qualification

Pursuing Ph.D from VTU, Belagavi, Karnataka,
PG Degree in M.TECH (Computer Science and Engineering), 2012, MIST College of Engineering, JNTUH,
UG Degree in B.Tech (Computer Science and Engineering), 2007, SRREC, JNTUH.

Subjects Taught:

  1. Big Data
  2. Computer networks
  3. C and Data Structures
  4. Database Management Systems
  5. Information Security
  6. Principles Of Programming Language
  7. Operating System
  8. Object Oriented Analysis and Design
  9. Object Oriented programming-java
  10. Software Engineering
  11. Web technologies

.

Papers Published:

  1. Upendar Para,”Knowledge Discovery Framework for Community Web Directories” (CIIT), Voume 4,No 4 (2012)
  2. Upendar Para Issue “A Novel Clustering Data based on K-Means” (CIIT) June-2012 DOI:DMKE062012006,
  3. Upendar Para “Maximizing Lifetime For Wireless Sensor Networks Using Swarm Optimization And Energy-Balanced Nodes” (IJSRET) Volume 3, Issue 6 September 2014 (ISSN 2278-0882)
  4. A Survey on Distortion Resistant Routing Framework in Wireless Multi Hop Networks Para Upendar IJRECS @ July 2016, V-5, I-6 ISSN-2321-5485(Online) ISSN-2321-5784
  5. UPENDAR PAARA “Group Key Agreement with Local Connectivity”  ISSN 2319-8885 Vol.05,Issue.17 July-2016, Pages:3403-3409
  6. Upendar Para,”A Novel Approach for Predicting nativity language of the authors by analyzing their written text”, 6th International Conference on Innovations in Computer Science & Engineering(ICICSE-2018 Springer) 17th-18th August,2018. (SCOPUS INDEXED)
  7. Upendar Para,”A New Document Representation Technique for Native Language Prediction of Authors from their Written Texts”, in Internationa Conference on New Trends in Engineering & Technology-2018 with catalog “CJP18P34-PRJ:978-1-5386-5629-7” Organized by GRJ Institute of Engineering & Technology, Tiruttani,Chennai,TN 7th & 8Th Sep-2018(SCOPUS INDEXED)

Books Published:

None

Research Projects Undertaken:

None