Venkata Seshu Kumari Bandreddi
VIDWAN ID: 186238

Dr Venkata Seshu Kumari Bandreddi

Female Doctor of Philosophy
Associate Professor | Department of Information Technology
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology
Telangana
Expertise: Computer Science Software Engineering
30 Publications
0 Projects
30 Scopus Citations
17 CrossRef
9 Years 8 Months Total Experience
Publications
30 Total
Articles
19
Chapters
2
Proceedings
9
Activity

No publication activity to display.

Scopus Scopus
30 Citations
3 h-index
CrossRef CrossRef
17 Citations
2 h-index
Google Scholar Google Scholar

Loading Scholar statistics...

Professional Recognition

No Data Found

There is currently nothing to display here.

Community & Membership

No Data Found

There is currently nothing to display here.

ISTE
Life
IE
life

Personal Details

Doctor of Philosophy
2015
Institute of immunodhaemetology (indian counsil of medical research)
Associate Professor
Jan 2017 – Present
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology | Department of Information Technology
Engineering and Technology
Computer Science Software Engineering

Related Profiles

Scholarly Work

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

No Data Found

There is currently nothing to display here.

Scholarly Publications

Rethinking Software Engineering Skills in the Age of AI

Book Chapter
Year: 2026. Pages: 179-212 .
Authors: Rampelli Manojkumar; Aditya Sai Srinivas T.; Chamakura Krishna Reddy; Morri Prashanth; Bandreddi Venkata Seshukumari; Arunima Dutta

Introducing a security system for public auditing in public cloud storage

Other

Improving the usablility of statistical parsers by incorporating linguistic constraints

Journal Article

Improving Indian Language Dependency Parsing by Combining TransitiDependency Parsin

Other

IMPROVED Case SECURED ROUTING USING QOS Using S-DSR IN MOBILE AD-HOC NETWORKS

Journal Article

Developing Telugu CCG Resources from the Dependency Treebank

Conference Paper

A Hybrid Parsing Approach for Telugu Dependency Dependency Parsing,

Other

Hindi Dependency parsing using combined model of MALT and MST.

Conference Paper
Year: 2012.
Showing 1 to 8 of 30 publications