Budharaju VenkataVarma
VIDWAN ID: 621742

Mrs Budharaju VenkataVarma

Male Doctor of Philosophy
Assistant Professor | Department of Computer Science and Engineering- Data Science
SREYAS INSTITUTE OF ENGINEERING & TECHNOLOGY, TATTIANNNARAM
Telangana
Expertise: Computer Science Artificial Intelligence
6 Publications
0 Projects
4 Scopus Citations
5 CrossRef
2 Years 11 Months Total Experience
Publications
6 Total
Articles
1
Proceedings
5
Activity

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Scopus Scopus
4 Citations
1 h-index
CrossRef CrossRef
5 Citations
2 h-index
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Professional Recognition

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Personal Details

Doctor of Philosophy
2024
N/A
Master of Technology
2010
Ajmal Khan Tibbiya College
Assistant Professor
Oct 2023 – Present
SREYAS INSTITUTE OF ENGINEERING & TECHNOLOGY, TATTIANNNARAM | Department of Computer Science and Engineering- Data Science
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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AI-Machine learning based early detection of neuro functional disorders like Autism,Alzhim, tumors using strong deep learning algorithms Ann/CNN among children

Dr G.NAGA Rama DEVI
- Patent No. : Temp/E-1/68900/2023 Filed : 10-10-2023
Published : 16-12-2023 Published

Scholarly Publications

Diabetes Prediction using Machine Learning and Deep Neural Models with Hybrid Resampling Techniques

Conference Paper
Year: 2025. Pages: 902-907 .
Authors: G.Kumari; UdayaLaxmi Aditya Teki; Budharaju VenkataVarma; Vunnava Dinesh Babu; Rangam Suresh; Naladi Ram Babu

Advanced Deep Learning Techniques for Multivariate Weather Prediction Using RNN and LSTM Models

Conference Paper
Year: 2025.
Authors: Chintha Venkata Ramana; B.Venkata Varma; U. V. Ramesh; P. Anand Kumar; A. Lakshmanarao; Raja Rao PB V

Alzheimer's Disease Detection using Hybrid Machine Learning and Deep Learning Technique

Conference Paper
Year: 2025. Pages: 267-272 .
Authors: Koujalagi, A.; Anuradha, S.; Venkata Varma, B.; Chandra Sekhar Reddy, P.; Lakshmanarao, A.; Babu, N.R.

An Optimized Capsule Network Architecture for Brain Tumor Classification with Comparative Insights from Transfer Learning Models

Conference Paper
Year: 2025. Pages: 337-342 .
Authors: Kumar, K.R.; Varma, B.V.; Vullam, N.; Rupa, K.S.; Lakshmanarao, A.; Krishna, P.G.

An Efficient Hybrid CNN-LSTM Framework for Network Intrusion Detection Using UNSW Data

Conference Paper
Year: 2026.
Authors: Kistam Gopi; Kanakala Raja Sekhar; G.Narsamma; B.Venkata Varma; B.S.S.Ganesh Pardhu; A.Lakshmanarao

AI-Powered Personal Fitness Coach Using Deep Learning

Journal Article
Year: 2025. Volume: 12 , Issue: 6 , Pages: 1-9 .
Authors: Budharaju Venkata Varma; Movva Sai Charan; Gopu Manopsitha; Andhugulapathi tarun; Dadigala Anvith