About myself

Mr. K Chandra Mouli is currently working as an Assistant professor in the Dept. of CSE at Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad. He obtained his M.Tech (CSE) from Vaagdevi Institute of Technology and Science & B.Tech (IT) from KORM College of Engineering Kadapa in the year 2014 & 2011 respectively. He had teaching experience of 7 years. He had 13 publications in International Conferences and reputed Journals. His research interests include Cloud Computing, Machine Learning, Artificial Intelligence.

☎ Contact Details
Mr. K Chandra Mouli
Assistant Professor, Department of Computer Science and Engineering,
Gokaraju Rangaraju Institute of Engineering and Technology,
Bachupally, Hyderabad, Telangana, India (500090)
kcm7961.1852@gmail.com
Ph:9966007961

      Curriculam Vitae

Educational Details

Pursuing P.hD from REVA University, Banglore.
M.Tech (CSE) from Vaagdevi Institute of Technology and Science 2014.
B.Tech (IT) from KORM College of Engineering Kadapa in 2011.

Professional Background

Presently working as an Assistant Professor in the dept of CSE, Gokaraju Rangaraju Institute of Engineering and Technology (Autonomous) Bachupally, Hyderabad, since July 2021.
Assistant professor in Dept of CSE(AI&ML), CMRIT, Hyderabad from March 2021 to November 2022
Assistant professor in Dept of CSE, Holy Mary Institute of Engineering and Technology, Hyderabad from Jan 2015- March 2021.

Courses Taught

Cloud Computing
Design and Analysis of Algorithms
Data Base management Systems
MFCS
STM
SE

Publications

International Journals & Conferences

Research papersResearch paper published for the topic” Single to Multi Clouds for Security in Cloud Computing by using Secret Key Sharing” for the A. Y. 2012-13.
Research paper published for the topic” Providing security in cloud computing with hierarchical identity-based cryptography using federated management” for the A. Y. 2017-18.
Research paper published for the topic “A Proposal on integrating vehicle documents in QR Code” for the A. Y. 2017-18.
Research paper published for the topic “Data Segregation in Cloud Computing Using Map Reduce” for the A. Y. 2018-19.
Research paper published for the topic “Preventing Intrusions into Networks Using Honey pot Servers” for the A. Y. 2019-20.
Research paper published for the topic “Advanced System for Drivers Drowsiness Detection with Alarm Buzzer” for the A. Y. 2019-20.
Research paper published for the topic “Network Intrusion Detection by SVM & ANN With Feature Selection” for the A. Y. 2019-20.
Research paper published for the topic “COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms” for the A. Y. 2020-21.
Research paper published for the topic “Retrieval of Data with Web Crawling to Benefit Data Science for the A. Y. 2021-22.
Research paper published for the topic “Acute Commitment Based Access Control for Health Care Data” for the A. Y. 2021-22.
Research paper published for the topic “An Introduction to DevOps Architecture, Tools, And Methods for Safe and Secure Software Development” for the A. Y. 2021-22.
Presented Research paper Titled “The Analysis of COVID-19 Data: A Study” In A Two Days Online International Conference on “Recent Trends in Computer Science and Information Technology”.
Presented Research paper Titled “Pattern Recognition by Using Machine Learning to Improve Accuracy” In A Two Days Online International Conference on “Recent Trends in Computer Science and Information Technology”.

SCI/ESCI/ScopusJournalPublications

●A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarksJournal: Scientific Reports (Sci Rep) DOI: 10.1038/s41598-026-37672-y
●Machine Learning for Coronary Heart Disease Risk Prediction: A Conventional and Ensemble Classification Model ApproachJournal: Journal of Engineering and Technology for Industrial Applications DOI: 10.5935/jetia.v12i57.2753
●Ethereum Price Prediction Using Time Series and Deep Learning TechniquesJournal: Applied Computational Intelligence and Soft Computing DOI: 10.1155/acis/6167862
●Performance analysis of linear and non-linear machine learning models for forecasting compressive strength of concreteJournal: Cogent EngineeringDOI: 10.1080/23311916.2024.2368101
●An analysis on classification models for customer churn predictionJournal: Cogent EngineeringDOI: 10.1080/23311916.2024.2378877

Scopus Conferences

●Presented Research paper titled "The Analysis of COVID-19 Data: A Study" in a Two Days Online International Conference on "Recent Trends in Computer Science andInformation Technology".
●Presented Research paper titled "Pattern Recognition by Using Machine Learning to Improve Accuracy" in a Two Days Online International Conference on "Recent Trends in Computer Science and Information Technology".
●Presented Research paper titled "An Intelligent Network Intrusion Detection System for Anomaly Analyzer Using Machine Learning for Software Defined Networks" in 3rd International Conference on Manufacturing, Material Science and Engineering (ICMMSE 2021).
●Presented Research paper titled "Network Intrusion Detection System Using ML Techniques" in E3S Web of Conference 15th International Conference on Materials Processing and Characterization (ICMPC 2023) for A.Y. 2023–24.
●Presented Research paper titled "Automatic Student Attendance System Based on Face Recognition" in a Three Days AIP 5th International Conference on Design and Manufacturing Aspects for Sustainable Energy for A.Y. 2023–24.
●Presented Research paper titled "Bibliographic Analysis of Data Dissemination in Vehicular Adhoc Networks" in AIP 16th International Conference on Materials Processing and Characterization – 2024.
●Presented Research paper titled "A Novel Approach to Detect Paddy Crop Diseases Using Deep Learning" in AIP 16th International Conference on MaterialsProcessing and Characterization – 2024.
●Presented Research paper titled "Adaptive Self-Healing in Mobile Networks ●Using Levy Flight-Based Bat Algorithm" in 2024 International Conference on IoTCommunication and Automation Technology (ICICAT).
●Presented Research paper titled "Weapon Detection in Real-Time CCTV Videos Using Deep Learning" in AIP 15th International Conference on MaterialsProcessing and Characterization – 2023.
●Presented Research paper titled "Predictive Modeling of Energy Consumption in Smart Grids Using Artificial Neural Networks" in E3S Web of Conference Empowering Tomorrow 2024: Clean Energy, Climate Action, and Responsible Production.

UGC Care Journal Publications

●Research paper published for the topic "Single to Multi Clouds for Security in Cloud Computing using Secret Key Sharing" for the A.Y. 2012–13.
●Research paper published for the topic "Providing security in cloud computing with hierarchical identity-based cryptography using federated management" for theA.Y. 2017–18.
●Research paper published for the topic "A Proposal on integrating vehicle documents in QR Code" for the A.Y. 2017–18.
●Research paper published for the topic "Data Segregation in Cloud Computing Using Map Reduce" for the A.Y. 2018–19.
●Research paper published for the topic "Preventing Intrusions into Networks Using Honeypot Servers" for the A.Y. 2019–20.
●Research paper published for the topic "Advanced System for Drivers Drowsiness Detection with Alarm Buzzer" for the A.Y. 2019–20.
●Research paper published for the topic "Network Intrusion Detection by SVM & ANN With Feature Selection" for the A.Y. 2019–20.
●Research paper published for the topic "COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms" for the A.Y. 2020–21.
●Research paper published for the topic "Retrieval of Data with Web Crawling to Benefit Data Science" for the A.Y. 2021–22.
●Research paper published for the topic "Acute Commitment Based Access Control for Health Care Data" for the A.Y. 2021–22.
●Research paper published for the topic "An Introduction to DevOps Architecture, Tools, And Methods for Safe and Secure Software Development" for the A.Y. 2021–22.
●Research paper published for the topic "BDVC-Medical Big Data Voice Cloning for Health Care Systems".
●Research paper published for the topic "A Novel Mechanism of Integration of Cloud Data Using Data Chunks".

      Professional Work

Workshops Attended

Three-day workshop on “Machine deep learning, R programming” attended at JNTU Sultanpur.
One week FDP on “Internet of Things” attended Holy Mary Institute of Technology & Sciences.
One week FDP on “IoT-Architectures, Applications and Research Trends” attended at Sreenidhi Institute of Science & Technology.
NPTEL -AICTE FDP on Cloud Computing (Aug-Oct 2021).
NPTEL -AICTE FDP on Data Base Management System (Jan-Mar 2022).
NPTEL workshop on “Agile Testing & Methodology and Project Management & Test Automation”.
2 Day Workshop on “Python and Django” Organized by the FOSSEE (Free and Open-Source software for education), Project, IIT Bombay X-NMEICT.
NPTEL Workshop on “Cloud Architecture- Design Pattterns & PC on Cloud”.
NPTEL Workshop on “CICD -DevOps Automation and DevSecOps – Automation”.
NPTEL -AICTE FDP on Python for Data Science (Jan-Mar2023).
NPTEL -AICTE FDP on Foundation of Cloud IoT Edge ML (Feb-April 2023).
Edge Computing – NPTEL-AICTE FDP (Jan–Mar 2024)
Programming in Java – NPTEL-AICTE FDP (Jul–Oct 2024)

Certifications

NPTEL Online Certification course on Cloud Computing (Aug-Oct 2021).
NPTEL Online Certification course on Database Management System (Jan-Mar 2022).
NPTEL Online Certification course on Python for Data Science (Jan-March 2023).
NPTEL Online Certification course on Foundation of Cloud IoT Edge ML (Feb-April 2023).
Edge Computing (Jan–Mar 2024)
Programming in Java (Jul–Oct 2024)

SkillUpCertifications

●Getting Started with AWS – Simplilearn
●Introduction to Cloud Computing – Simplilearn
●Introduction to Google Cloud Platform – Simplilearn
●Business Analytics with Excel – Simplilearn
●Introduction to Cloud Security – Simplilearn
●Introduction to Kubernetes – Simplilearn
●Introduction to SQL – Simplilearn
●AWS Cloud Practitioner Essentials – AWS Skill Builder
●Introduction to AWS Organizations – AWS Skill Builder

Participations

●AWS Innovate AI/ML Edition & Summit – Online India
●AWSOME DAY Online Conference – 9th June 2022

Achievements

●AWS Certified Solutions Architect-Associate(SAA-C03) Validation Number:d3dbae2514be481aa07de922069e51e1
●Masters Program in DevOps Engineer by Simplilearn.
●Research Excellence Award at GRIET on 22 November 2024.
●Research Excellence Award at GRIET on 19 December 2025.
●Master’s Program in DevOps Engineer by Simplilearn
●Simplilearn Certification course on AWS Technical Essentials.
●Simplilearn Certification course on AWS Developer Associate.