Ministry of Education
Sabavath Raju
VIDWAN ID: 606079

Mr Sabavath Raju

Male Master of Technology
Assistant Professor
Pallavi Engineering College
Telangana
Expertise: Computer Science Artificial Intelligence
ORCID 0009-0002-7453-7196 Scopus 59170580700 ResearcherID PFQ-9047-2025 Google Scholar XMGGcgcAAAAJ
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5 Publications
0 Projects
0 Scopus Citations
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10 Years 8 Months Total Experience
Publications
5 Total
Articles
2
Chapters
1
Proceedings
2
Activity

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Professional Recognition

Best Student of State
2004
Andhra Pradesh State Government
Best Faculty
2024
Pallavi Engineering College
Best Faculty
2026
Knowledge Research Academy

Community & Membership

Website & IT Cell
In-charge
Jan 2023
Discipline Committee
Member
Jan 2024
The Institution of Engineers (India)
Member
Jan 2023
Computer Society of India
Member
Jan 2022

Personal Details

Master of Technology
2015
N/A
Bachelor of Technology
2013
N/A
Higher Secondary Certificate (Class 12)
2009
N/A
Secondary School Examination (Class 10)
2007
N/A
Assistant Professor
Nov 2020 – Present
Pallavi Engineering College
Assistant Professor
Mar 2019 – Nov 2020
Brilliant Institute of Engineering & Technology
Assistant Professor
Jan 2016 – Feb 2019
Nishitha College of Engineering and Technology
Engineering and Technology
Computer Science Artificial Intelligence

Related Profiles

Scholarly Work

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Blockchain-Assisted IoT Framework for Automatic Accident Detection and Human Rescue Operations

PALLAVI ENGINEERING COLLEGE
- Patent No. : 48/2025 Filed : 16-10-2025
Published : 28-11-2025 Published

Quantum-Resistant Encryption Method for Secure Data Transmission in Public Networks

Pallavi Engineering College
- Patent No. : 2/2025 Filed : 28-12-2024
Published : 10-01-2025 Published

Deep Learning Approach for Crop Disease Detection and Classification with Pesticide Suggestion

Varugu Ramesh Babu
K.Nagalatha
Jyothi Macharla
Sudhakar Rao Pendyala
Dr. D. Bhakiaraj
Dr. V.Thrimurthulu
Sabavath Raju
Dr. CH. Asha Immanuel Raju
- Patent No. : 202441084502 A Filed : 05-11-2024
Published : 15-11-2025 Published

MACHINE LEARNING BASED APPROACH TO STUDY THE POSITIVE ASPECTS OF VARIOUS BIOENERGY SYSTEMS

REMALLI NAVEEN
- Application No. : 202341013318 A Filed : 28-02-2023
Published : 17-03-2023 Filed

Scholarly Publications

Federated Learning and Quantum-Resilient Cryptographic Frameworks for Secure and Trustworthy AIoT Ecosystems

Book Chapter
Year: 2026. Pages: 1-30 .
Authors: Ravikumar Ch; Burri Naresh; Mandala Rajkumar; A. Pramod Reddy; Yemineni Sowjanya; Sabavath Raju
DOI 10.4018/979-8-2600-1433-2.ch001

A Novel Approach of Deep Neural Network Performance Analysis for Predicting Chronic Kidney Disease

Conference Paper
Year: 2024. Pages: 821-830 .
Authors: Rupani, R.K.; C., R.; Adilakshmi, V.; Raju, S.
DOI 10.1007/978-3-031-51167-7_78

NETFALCON: AI-Based Network Traffic Analyzer with Tactical Threat Intelligence

Journal Article
Year: 2026. Volume: 14 , Issue: 4 , Pages: 4350-4356 .
Authors: Sabavath Raju
DOI 10.22214/ijraset.2026.80209

Smart Shield: Machine Learning-Based Intrusion Detection System

Journal Article
Year: 2026. Volume: 14 , Issue: 4 , Pages: 4484-4489 .
Authors: Sabavath Raju
DOI 10.22214/ijraset.2026.80148

A Comparative Study using Random Forests and SVM Models for Machine Learning Techniques to Predict Heart Disease Accurately

Conference Paper
Year: 2025. Pages: 288-294 .
Authors: Naresh, B.; Ravikumar, C.H.; Betty, M.; Raju, S.; Shanker, P.; Prasad, M.S.
DOI 10.1109/ICECMSN68058.2025.11383194