K. Venu Gopala Rao
VIDWAN ID: 327062

Dr K. Venu Gopala Rao

Male Doctor of Philosophy
Dean | Department of Computer Science and Engineering
Maturi Venkata Subba Rao (MVSR) Engineering College
Telangana
Expertise: Computer Science Artificial Intelligence
54 Publications
2 Projects
51 Scopus Citations
32 CrossRef
29 Years 4 Months Total Experience
Publications
54 Total
Articles
38
Books
4
Proceedings
12
Activity

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Scopus Scopus
51 Citations
5 h-index
CrossRef CrossRef
32 Citations
4 h-index
Google Scholar Google Scholar

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Professional Recognition

Best Teacher Award
2010
GNITS
Best Teacher Award
2012
ISTE
Best project mentor award
2013
Anveshana
Best Distinguished Professor
2014
INSA
CONFERENCE CHAIR AND CONVENOR
2023
MVSREC HYDERABAD

Community & Membership

AICTE inspection Team panel member
Professor
Jan 2014
BOS Committee
Member
Jan 2012
CSI
Life
Jan 2004
ISTE
Life
Jan 2008
IEI
Life
Jan 2008

Personal Details

Doctor of Philosophy
2008
Kota University, Kota
Master of Technology
1997
N/A
Bachelor of Technology
1985
N/A
Dean
Sep 2021 – Present
Maturi Venkata Subba Rao (MVSR) Engineering College | Department of Computer Science and Engineering
Professor
Dec 2008 – Sep 2016
G.Narayanamma Institute of Technology & Science for Women | Department of Computer Science and Engineering
Assistant Professor
Sep 2002 – Jun 2011
G.Narayanamma Institute of Technology & Science for Women | Department of Computer Science and Engineering
Assistant Engineer
Apr 1985 – Jun 1995
ECIL Bangalore
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

UGC PROJECT
Completed
Agency: Department of Science and Technology Role: Other
UGC PROJECT
Completed
Agency: Department of Science and Technology Role: Principal Investigator

Source Cod Analyzer for improving software Quality

University JNTUH
Year 2021
Downloads 0

Improved Key Generation and Encryption mechanisms using identity based techniques

University JNTUH
Year 2020
Downloads 0
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Scholarly Publications

Ensemble classifiers with drift detection (ECDD) in traffic flow streams to detect DDOS attacks

Other

A MODEL DRIVEN APPROACH TO REGRESSION TESTING OF REUSABLE SOFTWARE

Other
Year: 2018.

An Experiential Metrics-Based Machine Learning Approach for Anomaly Based Real Time Prevention (ARTP) of App-DDoS Attacks on Web

Book
Year: 2018.

Recommendation System Based on Generalized-Weighted Tree Similarity Algorithm

Book
Year: 2018.

Relative-Feature Learning through Genetic-Based Algorithm

Other
Year: 2018.

Semantic relevance scale for text data plagiarism detection

Journal Article
Year: 2018.
Authors: Dasari, D.B.; Venu Gopala Rao, K.

Review on Application of Data Mining Technologies for Student Performance Analysis

Journal Article

BARTD: Bio-inspired anomaly based real time detection of under rated App-DDoS attack on web

Other
Year: 2020.
Showing 41 to 48 of 54 publications