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RESEARCH
SYSTEM STATUS: ONLINE · MVGR COLLEGE OF ENGINEERING

DR. P. RAMA
SANTOSH NAIDU

AI · Machine Learning · Deep Learning · Research · Teaching · Innovation
Ph.D Academician · 11+ Years Teaching · 2 Years Industry · 24+ Publications · MVGR

prsn1988@gmail.com Vizianagaram, AP, India
EXPLORE BLOGS VIEW RESEARCH PUBLICATIONS
/// AI RESEARCHER/// DISTINGUISHED ASST. PROFESSOR/// EXPLAINABLE AI/// DEEP LEARNING/// FEDERATED LEARNING/// CYBER SECURITY/// Ph.D ANDHRA UNIVERSITY/// 20+ PUBLICATIONS/// MVGR COLLEGE OF ENGINEERING/// VIZIANAGARAM /// AI RESEARCHER/// DISTINGUISHED ASST. PROFESSOR/// EXPLAINABLE AI/// DEEP LEARNING/// FEDERATED LEARNING/// CYBER SECURITY/// Ph.D ANDHRA UNIVERSITY/// 20+ PUBLICATIONS/// MVGR COLLEGE OF ENGINEERING/// VIZIANAGARAM
Dr. P. Rama Santosh Naidu Dr. P. Rama Santosh Naidu DR.PRSN.JPG www.drprsnaidu.in
Dr. P. Rama Santosh Naidu
Distinguished Assistant Professor & Independent Researcher
MVGR College of Engineering, Vizianagaram
prsn1988@gmail.com
Vizianagaram, AP, India
Ph.D — Andhra University (2023)
ORCID: 0000-0002-6841-757X
LinkedIn GitHub Website ORCID

Who Am I?

I am a Ph.D-qualified academician and researcher blending 11+ years of teaching excellence with 2 years of industry experience in AI, Machine Learning, and Deep Learning. My focus lies in building adaptive, explainable AI systems that bridge cutting-edge research with real-world healthcare applications.

Serving as Distinguished Assistant Professor at MVGR College of Engineering, Vizianagaram, I have mentored 500+ students and published 24+ peer-reviewed research papers in reputed international journals and conferences.

> Specialized in Explainable AI, Federated Learning & Deep Learning.
> Obsessed with making AI transparent, secure, and impactful.
> 11+ years shaping minds in the classroom, 2 years solving real-world problems in industry.
VIZIANAGARAM, AP, INDIA STATUS: AVAILABLE
11+Years in Classroom
2Years Industry
24+Publications
500+Students Mentored
/// PYTHON /// C / C++ /// JAVASCRIPT /// UNIX SHELL SCRIPTING /// TENSORFLOW /// PYTORCH /// SCIKIT-LEARN /// KERAS /// OPENCV /// PANDAS /// NUMPY /// JUPYTER /// GIT /// DOCKER /// LATEX /// PYTHON /// C / C++ /// JAVASCRIPT /// UNIX SHELL SCRIPTING /// TENSORFLOW /// PYTORCH /// SCIKIT-LEARN ///
02 — Education

ACADEMIC QUALIFICATIONS

2018 — 2023
Ph.D — Computer Science
Andhra University
Visakhapatnam, AP

Thesis: Explainable & Adaptive AI Systems for Healthcare Intelligence
Doctorate
2012 — 2014
M.Tech — Computer Science
MVGR College of Engineering
Vizianagaram, Andhra Pradesh
Post Graduate
2007 — 2011
B.Tech — Computer Science
MVGR College of Engineering
Vizianagaram, Andhra Pradesh
Under Graduate
03 — Experience

PROFESSIONAL LOGS

JULY 2016 — PRESENT · 11+ YEARS
Distinguished Assistant Professor
@ MVGR COLLEGE OF ENGINEERING

Leading academic delivery in AI, ML, Deep Learning and Cybersecurity. Conducting lab instruction & practical sessions. Mentoring UG/PG students through research projects. Publishing peer-reviewed papers in reputed journals. Active in institutional committees, quality improvement initiatives (NBA/NAAC).

AI/ML TeachingResearch SupervisionPlacement SupportPublicationsNBA/NAAC
2015 — 2016
Assistant Professor
@ JNTUK-UCEV

Jawaharlal Nehru Technological University Kakinada — University College of Engineering Vizianagaram. Delivered undergraduate engineering courses in Computer Science.

CS TeachingJNTUKMentoring
2014 — 2015
Information Security Consultant
@ CYBER Q PVT LTD

Conducted security assessments, vulnerability analysis, and penetration testing for enterprise clients. Provided strategic information security advisory services.

InfoSecPen TestingRisk Management
2011 — 2012
Web Developer
@ SCHEMAX TECHNOLOGIES

Developed and maintained web applications for clients. Front-end and back-end development, database integration, and deployment.

Web DevHTML/CSS/JSDatabase
/// EXPLAINABLE AI/// FEDERATED LEARNING/// COMPUTER VISION/// CYBER SECURITY/// CRYPTOGRAPHY/// DISTRIBUTED SYSTEMS/// HEALTHCARE AI/// NLP/// DEEP LEARNING/// REINFORCEMENT LEARNING/// IOT SECURITY /// EXPLAINABLE AI/// FEDERATED LEARNING/// COMPUTER VISION/// CYBER SECURITY/// CRYPTOGRAPHY/// DISTRIBUTED SYSTEMS/// HEALTHCARE AI/// NLP/// DEEP LEARNING/// REINFORCEMENT LEARNING/// IOT SECURITY
04 — Skills

TECH_STACK

>> Hover to activate.

>_ PROGRAMMING LANGUAGES
Python
>_ PROGRAMMING LANGUAGES
C
>_ PROGRAMMING LANGUAGES
JavaScript
>_ PROGRAMMING LANGUAGES
UNIX Shell Scripting
>_ SUBJECT EXPERTISE
Artificial Intelligence
>_ SUBJECT EXPERTISE
Machine Learning
>_ SUBJECT EXPERTISE
Deep Learning
>_ SUBJECT EXPERTISE
Operating Systems
>_ SUBJECT EXPERTISE
Linux Administration
>_ SUBJECT EXPERTISE
Distributed Systems
>_ SUBJECT EXPERTISE
Cyber Security
>_ SUBJECT EXPERTISE
Network Security
>_ SUBJECT EXPERTISE
Cryptography
>_ SUBJECT EXPERTISE
Web App Security
>_ SUBJECT EXPERTISE
Information Security
>_ SUBJECT EXPERTISE
Penetration Testing

>> DOMAINS & EXPERTISE

Artificial IntelligenceMachine LearningDeep LearningExplainable AIFederated LearningComputer VisionNLPReinforcement LearningCyber SecurityNetwork SecurityCryptographyDistributed SystemsLinux AdminOperating SystemsWeb App SecurityInformation SecurityTransfer LearningNeural NetworksIoT SecurityBlockchain
05 — Research

RESEARCH AREAS

🧠

AI-Driven Healthcare Analytics

ML and deep learning models for disease detection, ECG classification, Parkinson detection, depression prediction, and intelligent clinical decision support.

👀

Computer Vision

Image classification, object detection, skin disease identification, and biomedical image analysis using CNNs and vision transformers.

⚡

Biomedical Signal Intelligence

ECG, EEG, and physiological signal processing using deep learning for real-time health monitoring and intelligent diagnosis systems.

🔎

Explainable AI (XAI)

Developing transparent ML models using SHAP, Grad-CAM, LIME, and counterfactual explanations for trustworthy AI in critical decision environments.

🔒

Secure Intelligent Systems

Integrating cryptographic protocols and cybersecurity with AI/ML for privacy-preserving, adversarially robust, and trustworthy intelligent systems.

🌐

Distributed Computing

Federated learning architectures, edge intelligence, and distributed AI frameworks with differential privacy and secure aggregation protocols.

06 — Publications

RESEARCH PAPERS

>> 20+ peer-reviewed publications · International journals & conferences

2022 LATEST
01

A Novel Hybrid Tracking Algorithm for Client-Server Connection Using a Machine Learning Technique

Proceedings of International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks · 2022, pp. 121-129
MLNetworking
02

Gaussian Scale Concept to Reduce the Computation in Detection of Surface Defects in Machine Vision

Proceedings of International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks · 2022, pp. 139-146
Computer VisionMachine Vision
03

Surface Damage Indicators Identification Through Simulation Studies in Computer Vision

Proceedings of International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks · 2022, pp. 131-137
Computer VisionSimulation
04

A Novel Self-Adapting Machine Learning Approach of ECG Signal Classification for Cardiac Arrhythmia

Proceedings of International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks · 2022, pp. 195-207
ECGMLHealthcare
2020
05

Analysing COVID-19 Cases by Eliminating False Negatives and False Positives Using Visual Exploratory Data Analysis

International Journal of Computer Sciences and Engineering · Vol. 8, 2020, pp. 61-66
COVID-19Data Analysis
06

A Generic Approach of ECG Signal Classification Using CNN

Helix Journal · Vol. 10, 2020, pp. 75-80
ECGCNN
07

ECG Heartbeat Classification through CNN & RNN — A Machine Learning Approach

International Journal of Innovative Technology and Exploring Engineering (IJITEE) · Vol. 10, 2020, pp. 143-147
ECGCNNRNN
08

Deep Residual Learning for ECG Signal Classification

Helix Journal · Vol. 10, 2020, pp. 81-86
Deep LearningECG
09

Effect of Excessive Alcohol on Liver: A Machine Learning Approach

Proceedings of International Conference on Communications and Cyber Physical Engineering · 2020, pp. 1565-1586
MLHealthcare
2019
10

Efficient Adaptive Reproducing Management in Hadoop Distributed File System

SpringerBriefs in Applied Sciences and Technology · 2019, pp. 121-132
HadoopDistributed Systems
11

Association Rule Hiding Using DBCT Technique

Helix Journal · Vol. 9, 2019, pp. 4781-4790
Data MiningPrivacy
2018 & Earlier
12

A Study on Distributed File System Security Using Symmetric and Asymmetric Cryptography

International Journal of Current Engineering and Scientific Research · Vol. 5, 2018, pp. 14-17
CryptographySecurity
13

Role of Virtual Machine in Bio-Applications

Helix Journal · Vol. 7, 2017, pp. 862-868
VMBio-Computing
14

Peer-to-Peer Mechanism Using Spray and Wait Routing Algorithm

Journal of Network Communications and Emerging Technologies · Vol. 6, 2016, pp. 47-58
P2PNetworking
15

Mining Association Rules for 3D Data Using RSM Framework

International Journal of Emerging Technologies in Engineering Research · Vol. 4, 2016
Data Mining3D
16

Mitigation of Energy Depletion in Wireless Ad-hoc Sensor Networks

International Journal of Computer Networks and Applications · Vol. 2, 2015, pp. 1-11
WSNIoT
17

Impact of HeartBleed Bug in Android and Counter Measures

International Journal on Computational Science & Applications · Vol. 5, 2015, pp. 87-93
SecurityAndroid
18

Classification of Images Based on Saliency Driven Non-Linear Diffusion Filtering

Journal of Network Communications and Emerging Technologies (JNCET) · Vol. 5, 2015, pp. 24-28
Image ProcessingCV
19

Vulnerability Detection of PHP Applications Using PHP-Code Analyzer

IJSRD · Vol. 3, 2015, pp. 45-50
Web SecurityPHP
20

Performance Evaluation and Testing of EAACK-Secure IDS for MANETs: Brief Study

International Journal of Computer Trends and Technology (IJCTT) · Vol. 17, 2014, pp. 44-52
IDSMANET
21

Empirical Model of Job Shop Scheduling

International Journal of Computer Networks and Applications · Vol. 1, 2014, pp. 26-32
SchedulingOptimization
22

Malicious Node Detection for Internet Traffic Analysis

International Journal of Computer Networks and Applications · Vol. 1, 2014, pp. 33-39
Network SecurityIDS
23

Automated Vulnerability Detection in PHP Applications Using PVRS

International Journal of Advanced and Innovative Research · Vol. 3, 2014, pp. 1-10
Web SecurityAutomation
24

IPv6 Threats Posed by Multicast Packets and Counter Measures

IOSR Journal of Computer Engineering · Vol. 15, 2013, pp. 66-75
IPv6Network Security
VIEW ALL ON ORCID
07 — Projects

PROJECTS & RESEARCH BUILDS

Done / Supervised

🔗

HikeChain

>> Tap for details

A Blockchain-Based Solution for Employee Performance Management using smart contracts and decentralized ledger technology.

BlockchainSmart Contracts
VIEW →
🏫

ShikshaAI

>> Tap for details

Offline Multilingual AI Tutor Using Local RAG and Voice Interaction for rural and low-connectivity environments.

RAGNLPEdTech
VIEW →
🤖

NextGenT

>> Tap for details

Multi-Agent AI System for Automated Requirement Gathering and Project Coordination using LLM-based agents.

Multi-Agent AILLM
VIEW →
⚡

TaskAI

>> Tap for details

Web-Based AI Task Planning System with Microservice Architecture and Roadmap Visualization using reinforcement learning.

MicroservicesRL
VIEW →
☁️

Dynamic Resource Allocation

>> Tap for details

Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environments with adaptive scheduling.

CloudVM
VIEW →
🛡️

Digital Signature Framework

>> Tap for details

Comprehensive Digital Signature Framework for Network Security using asymmetric cryptography and PKI infrastructure.

CryptographySecurity
VIEW →
💔

ECG Arrhythmia Classification

>> Tap for details

Classification of Cardiac Arrhythmia Patients Using Hybrid Machine Learning Features validated on PhysioNet MIT-BIH dataset.

CNN-LSTMHealthcare
VIEW →
🧐

Depression & Suicide Prediction

>> Tap for details

Prediction of Depression and Suicide Ideation Using Machine Learning-Based Self-Efficacy Analysis on social media text.

NLPML
VIEW →
🥚

COVID-19 Analysis

>> Tap for details

Analysing COVID-19 Cases by Eliminating False Negatives and False Positives Using Visual Exploratory Data Analysis.

Data AnalysisHealthcare
VIEW →
🍀

Skin Disease Prediction

>> Tap for details

Skin Disease Prediction and Classification Using Deep Learning Techniques with Grad-CAM interpretability on HAM10000.

CNNXAI
VIEW →
🥳

Parkinson’s Detection

>> Tap for details

Parkinson’s Disease Diagnosis Using Voice Recordings and Ensemble Machine Learning Techniques achieving 96.3% accuracy.

Signal ProcessingEnsemble ML
VIEW →
💳

Credit Card Fraud Detection

>> Tap for details

Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection on highly imbalanced financial datasets.

XGBoostFinance
VIEW →
📋

Plagiarism Detection

>> Tap for details

Plagiarism Detection Using Natural Language Processing (NLP) with BERT contextual embeddings and semantic similarity.

NLPBERT
VIEW →
📊

Social Media Impact Analysis

>> Tap for details

Impact Analysis of Social Media on Human Behaviour Using Machine Learning and sentiment analysis techniques.

MLSentiment
VIEW →
🧞

Cancer Genetic Variants

>> Tap for details

Machine Learning-Based Detection of Genetic Variants in Cancer and Inherited Disorders using genomic data analysis.

BioinformaticsML
VIEW →
💊

Drug Repurposing

>> Tap for details

Deep Learning Approaches for Drug Repurposing using graph neural networks and biomedical knowledge graphs.

Deep LearningPharma
VIEW →
🗻️

Election Prediction

>> Tap for details

Election Prediction Using Social Media Data Analytics and Machine Learning with real-time sentiment monitoring.

Data AnalyticsML
VIEW →
🕵️

Spam Zombie Detection

>> Tap for details

Detecting Spam Zombies through Monitoring of Outgoing Messages using network traffic analysis and anomaly detection.

Network SecurityML
VIEW →

Ongoing / Supervising

🧠

Pragma — Intelligent Consultant Agent

>> Tap for details

An AI-powered consulting agent that grounds every response in uploaded documents, reasons step-by-step through complex business problems, ranks competing options explicitly with trade-off analysis, and delivers a complete explanation block with source citations — closing the gap between a generic chatbot and a $300/hr consultant.

RAGAgentic AIDecision Support
VIEW →
🔬

Vela — Intelligent Academic Research Agent

>> Tap for details

A personalised research intelligence system delivering daily paper digests, deep paper analysis, 5-layer depth drill-down on any concept, cross-domain synthesis, research gap mapping, literature review drafting, and technology tracking — anchored by an in-process Originality Assurance Engine that detects semantic plagiarism in real time as you write, using embedding-based similarity search against the S2ORC 200M+ paper corpus and LLM-powered rewrite suggestions.

LLM AgentsSemantic SearchAcademic AI
VIEW →
08 — Teaching

SUBJECTS TAUGHT

Programming & Systems

Unix Shell ProgrammingC ProgrammingOperating SystemsLinux AdministrationWeb Technologies

Security & Networks

Cryptography & Network SecurityInformation SecurityWeb Application SecurityPenetration Testing

Software Engineering

Software EngineeringOOAD & Design PatternsIoTDistributed Systems

Advanced Computing

Artificial IntelligenceMachine LearningDeep LearningData Science
09 — Roles & Memberships

ACADEMIC ROLES

Public Relations & Outreach

Managing social media presence, department outreach programs, and external communication for the CSE department.

Project In-Charge

Overseeing final year project allocations, student-industry collaboration, project evaluations and mentoring.

Alumni In-Charge

Managing alumni relations, organizing alumni meets, building a strong alumni network for mentoring current students.

Life Member — Institution of Engineers (India)

Active contributor to professional engineering community through IEI membership and national events.

Languages Known

Telugu (Native) · English (Proficient). Delivering academic content and research publications in both languages.

10 — Off Duty

SCREENS I KEEP REWATCHING

>> Click a title to see why it made the list.

🎬 Movies

📺 TV Series / Web Series

11 — Blog

MY INSIGHTS

>> Research, life, thoughts, career & everything in between.

ALL Research Life Thoughts Career AI Teaching Personal
📧

NEVER MISS
A POST

Every new post — on life, research, AI, career, human behaviour —
straight to your inbox. No spam. No noise. Just honest writing.

Free forever Zero spam Instant on publish Unsubscribe anytime
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> ACTIVITY.LOG
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12 — Contact

GET IN TOUCH

>> Research collaborations, student guidance, speaking invitations — always open!

CONTACT.INFO

Location
Vizianagaram, Andhra Pradesh, India
Institution
MVGR College of Engineering
> MIDNIGHT THOUGHTS.LOG

>> scrolls on its own · hover to pause and actually read

🐛 ON RUNNING IN CIRCLES

Life really does have a funny way of running the same bug in production until you finally realize you are the developer. Same problem, same pattern, same excuses — just a new day. Maybe the universe isn’t against you; maybe it’s simply waiting for you to change the condition instead of restarting the program. Break the loop, learn the lesson, and stop debugging the same version of yourself.

🙋 ON ASKING FOR HELP

There comes a point in every developer’s life when staring at the code for six hours becomes less productive than admitting, “Bro, I have absolutely no idea what’s happening.” 😂 Asking for help isn’t weakness — it’s actually a pretty advanced debugging technique called having common sense. You don’t need to know everything; you just need the humility to learn, the courage to ask, and the wisdom to move forward. Even the best developers know when to stop Googling and start asking.

😴 ON 2AM MOTIVATION

Everyone is motivated at 2 AM — planning their billionaire era, fixing their life, learning five skills, becoming unstoppable — then morning arrives and suddenly even getting out of bed feels like a premium subscription. 😭 Dreams are easy when motivation is high; character shows up when motivation disappears. Your goals describe who you want to become, but your standards on the bad days reveal who you’re actually becoming.

🐛 ON RUNNING IN CIRCLES

Life really does have a funny way of running the same bug in production until you finally realize you are the developer. Same problem, same pattern, same excuses — just a new day. Maybe the universe isn’t against you; maybe it’s simply waiting for you to change the condition instead of restarting the program. Break the loop, learn the lesson, and stop debugging the same version of yourself.

🙋 ON ASKING FOR HELP

There comes a point in every developer’s life when staring at the code for six hours becomes less productive than admitting, “Bro, I have absolutely no idea what’s happening.” 😂 Asking for help isn’t weakness — it’s actually a pretty advanced debugging technique called having common sense. You don’t need to know everything; you just need the humility to learn, the courage to ask, and the wisdom to move forward. Even the best developers know when to stop Googling and start asking.

😴 ON 2AM MOTIVATION

Everyone is motivated at 2 AM — planning their billionaire era, fixing their life, learning five skills, becoming unstoppable — then morning arrives and suddenly even getting out of bed feels like a premium subscription. 😭 Dreams are easy when motivation is high; character shows up when motivation disappears. Your goals describe who you want to become, but your standards on the bad days reveal who you’re actually becoming.