Dr Naveen Kumar Rangaraju

@kitsw.ac.in

Asst Professor, Dept. of CSE(Networks)
KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCE WARANGAL

Dr Naveen Kumar Rangaraju


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https://researchid.co/naveensmitha
Currently working as in Dept of CSE(Networks), KITS as an Assistant professor in the Computer Science department at CCIS, Majmaah University, Kingdom of Saudi Arabia. Through the 26 years of my teaching experience, I have covered a wide range of courses in computer science.
I have been granted with for research and skill development
1) Aspirational Scheme of AICTE, Govt of INDIA, Grant of Sanctioned- Principal Investigator. Dt: 08-03-2022.
2) Smart IoT Based Solution for Assisting the Needy in Emergency Sandstorms and landslides (9,100 OMR), University of Technology and Applied Sciences, Muscat. Dt: 09-11-2023.
My research in Machine Learning, IOT, wireless networks area (MANET) and Network Security with my advisor Dr. SSVN Sarma and Dr A Govardhan, has provided me with the opportunity to understand wireless systems as well as improve their performance by providing better network designs to avoid the previous designs shortcomings.

EDUCATION

MCA, M.TECH(IT), PhD

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Computer Networks and Communications, Artificial Intelligence, Information Systems
5

Scopus Publications

30

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Enhancing Liver Health Diagnostics with Machine Learning: A Comparative Analysis of Classifiers
    Kurmachalam Sri Sathya, Srikanth Jannu, Chaitanya Thuppari, R.Naveen Kumar, Thalla Sushma
    6th IEEE International Conference on Recent Advances in Information Technology Rait 2025, 2025
  • IoT-Enabled Smart System for Real-Time Alerts and Management of Sandstorms and Landslides
    Thirupathi Regula, Warda Al Hoqani, Sunitha Cheriyan, Sharmila Karramareddy, Naveen Kumar Rangaraju, et al.
    Lecture Notes in Networks and Systems, 2025
  • Smart IoT-Based Solution for Emergency Assistance during Sandstorms and Landslides
    Thirupathi Regula, Warda Al Hoqani, Sunitha Cheriyan, Sharmila K. Reddy, Naveen Kumar, et al.
    International Conference on Engineering and Emerging Technologies Iceet, 2024
    Natural disasters, which are caused by changes in the climate and geography, pose a major threat to human life and economic stability. These events, which include cyclones, tsunamis, landslides, and earthquakes, can result in serious ecological damage as well as fatalities. The speed at which climate change is occurring increases the unpredictability of such disasters, especially in vulnerable regions like deserts and forests. This study offers a solution to the challenges of rescuing those who are stranded by such catastrophes, where traditional rescue methods and communication may not be effective. The system uses Internet of Things (IoT) and mobile phone technologies to send location information and real-time alerts through Global Positioning System (GPS) and Geographic Information System (GIS), enabling the timely location of a person or vehicle for effective emergency response. This approach aims to improve disaster preparedness and survival rates in remote, catastrophe-prone areas.
  • Methane Gas Prediction Model in Underground Coalmines: A Deep Learning Approach
    Tharun Satla, Srikanth Jannu, Chaitanya Thuppari, Naveen Kumar Rangaraju
    Proceedings of the 2023 6th International Conference on Recent Trends in Advance Computing Icrtac 2023, 2023
    The environment of underground coal mines (UCMs) is susceptible to many environmental problems and consequential hazard. Among those problems, mine fire is a liable threat that causes the loss of lives of mine workers and other valuable infrastructure and resources in the mines. Moreover, methane gas concentration in the mine area is one of the major causes of fire explosion. Therefore, continuous monitoring is very important for prediction of methane gas in UCMs. Internet of Things (IoT), nowadays, is widely utilized for continuous monitoring of the environment of UCMs. For the purpose of monitoring, deploy sensor nodes in the region of UCMs to sense the environmental conditions and transfer the information to base station for further process. As the monitoring data are estimated and indistinct in nature, it is necessary to consider the data for taking precautions. In this paper, we propose a method to predict the methane concentration in UCMs by using multilayer perceptron. The multilayer perceptron model applied on the dataset sequentially to train the model by dividing the dataset into training and testing datasets. The training dataset is utilized to train a model. On the other hand, the testing dataset is utilized to evaluate the trained model. The overall process is implemented at the sink instead of control stations. In case of any hazardous situation, the sink takes immediate and necessary actions based on the sensed data rather than the control station. The trained model is simulated using WEKA tool for the data of continuous monitoring on different hazard conditions. This model is more reliable and works effectively when compared to other existing models in any kind of hazards situations in UCMs. The simulated results show the accuracy of proposed model outperforms the existing models.
  • Fault tolerant implementation of xilinx vertex FPGA for sensor systems through on-chip system evolution
    S. P. Anandaraj, R. Naveen Kumar, S. Ravi, S. S. V. N. Sharma
    Communications in Computer and Information Science, 2010

RECENT SCHOLAR PUBLICATIONS

  • INTEGRATED ONLINE EXAMINATION SYSTEM TOWARDS LEVERAGING EXPERIENCE OF EDUCATORS AND LEARNERS USING ARTIFICIAL INTELLIGENCE
    GSL V.RANADHEER REDDY, NAVEEN KUMAR RANGARAJU
    CHAITANYA DEEMED TO BE UNIVERSITY , 2026
    2026
  • IoT-Enabled Smart System for Real-Time Alerts and Management of Sandstorms and Landslides
    STSGKK Thirupathi Regula, Warda Al Hoqani, Sunitha Cheriyan, Sharmila ...
    Proceedings of Tenth International Congress on Information and Communication … , 2025
    2025
    Citations: 2
  • Enhancing Liver Health Diagnostics with Machine Learning: A Comparative Analysis of Classifiers
    RNKTS KURMACHALAM SRI SATHYA, Srikanth Jannu, Chaitanya Thuppari
    2025 6th International Conference on Recent Advances in Information … , 2025
    2025
  • TRANSFORMING CLOUD PRIVACY PROTECTION WITH ATTRIBUTE-BASED ACCESS CONTROL
    MKBB Dr. Naveen Kumar R, Dr. Ramesh G
    Quaderns 13 (7), 60-66 , 2025
    2025
  • SECURING GOVERNMENT HEALTHCARE SERVICES: AN EFFICIENT FRAMEWORK UTILIZING G-CLOUD TECHNOLOGY
    MKBB Dr. Naveen Kumar R, Dr. Ramesh G
    Staps 11 (6), 784-789 , 2025
    2025
  • LIGHT WEIGHT FRAMEWORK IN NETWORK SECURITY FOR THE HEALTH CARE TO IDENTIFY BOTNET IN IOT BY USING STACK ENSEMBLE DEEP LEARNING
    DNKR Dr. Ramesh G
    STAPS 11 (4), 61-71 , 2025
    2025
  • Smart Emergency Response System Using IoT for Sandstorms and Landslides
    KKSG Thirupathi Regula co-author and speaker, Warda Al Hoqani, Sunitha ...
    International Conference on Engineering and Emerging Technologies, ICEET , 2024
    2024
  • Methane Gas Prediction Model in Underground Coalmines : A Deep Learning Approach
    CTNKR Tharun Satla, Srikanth Jannu
    2023 6th International Conference on Recent Trends in Advance Computing … , 2024
    2024
  • Preventing Network Abnormalities using Machine Learning Technique
    RG Naveen Kumar, Srinivas Reddy
    Journal of Systems Engineering and Electronics 9 (33), 63-69 , 2023
    2023
  • A Scalable Server Architecture for Mobile Presence Services in Social Network Applications
    DRNK Maloth Parshuram, K.Bhaskar Babu
    Quaderns 11 (12) , 2023
    2023
  • Identification of Symptoms in Eye Images to Predict the disease of Diabetic Retinopathy by Using A3 –Layered Convolution Neural Network
    DVB 11. Dr R Naveenkumar, Ms G Arunakranthi
    Journal of Systems Engineering and Electronics 31 (1), 254-264 , 2021
    2021
  • An improvement to the Role of the Wireless Sensors in Internet of Things
    SB Sriramoju, NK Rangaraju, DA Govardhan
    Academic Publications Ltd. 118 (24) , 2018
    2018
    Citations: 10
  • A Study on Machine Learning Techniques towards the Detection of Distributed Denial of Service Attacks
    DSS Naveen Kumar Rangaraju, Shoban Babu Sriramoju
    International Journal of Pure and Applied Mathematics 120 (6), 7407-7423 , 2018
    2018
    Citations: 7
  • Maximizing Lifespan of Mobile Ad Hoc Networks with QoS Provision Routing Protocol
    PSSVNS V. Bapuji, R. Naveen Kumar, Dr. A. Govardhan
    International Journal of Computer Engineering & Technology 3 (2), 150-156 , 2012
    2012
    Citations: 6
  • An Improvement to Trust Based Cross-Layer Security Protocol Against Sybil Attacks (DAS)
    RN Kumar, V Bapuji, A Govardhan, S Sarma
    Computer Engineering and Intelligent Systems 3 (6), 62-70 , 2012
    2012
    Citations: 2
  • Fault Tolerant Implementation of Xilinx Vertex FPGA for Sensor Systems through On-Chip System Evolution
    SR S. P. Anandaraj, R. Naveen Kumar, S. S. V. N. Sharma
    Communications in Computer and Information Science, 459-468 , 2010
    2010
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • An improvement to the Role of the Wireless Sensors in Internet of Things
    SB Sriramoju, NK Rangaraju, DA Govardhan
    Academic Publications Ltd. 118 (24) , 2018
    2018
    Citations: 10
  • A Study on Machine Learning Techniques towards the Detection of Distributed Denial of Service Attacks
    DSS Naveen Kumar Rangaraju, Shoban Babu Sriramoju
    International Journal of Pure and Applied Mathematics 120 (6), 7407-7423 , 2018
    2018
    Citations: 7
  • Maximizing Lifespan of Mobile Ad Hoc Networks with QoS Provision Routing Protocol
    PSSVNS V. Bapuji, R. Naveen Kumar, Dr. A. Govardhan
    International Journal of Computer Engineering & Technology 3 (2), 150-156 , 2012
    2012
    Citations: 6
  • Fault Tolerant Implementation of Xilinx Vertex FPGA for Sensor Systems through On-Chip System Evolution
    SR S. P. Anandaraj, R. Naveen Kumar, S. S. V. N. Sharma
    Communications in Computer and Information Science, 459-468 , 2010
    2010
    Citations: 3
  • IoT-Enabled Smart System for Real-Time Alerts and Management of Sandstorms and Landslides
    STSGKK Thirupathi Regula, Warda Al Hoqani, Sunitha Cheriyan, Sharmila ...
    Proceedings of Tenth International Congress on Information and Communication … , 2025
    2025
    Citations: 2
  • An Improvement to Trust Based Cross-Layer Security Protocol Against Sybil Attacks (DAS)
    RN Kumar, V Bapuji, A Govardhan, S Sarma
    Computer Engineering and Intelligent Systems 3 (6), 62-70 , 2012
    2012
    Citations: 2
  • INTEGRATED ONLINE EXAMINATION SYSTEM TOWARDS LEVERAGING EXPERIENCE OF EDUCATORS AND LEARNERS USING ARTIFICIAL INTELLIGENCE
    GSL V.RANADHEER REDDY, NAVEEN KUMAR RANGARAJU
    CHAITANYA DEEMED TO BE UNIVERSITY , 2026
    2026
  • Enhancing Liver Health Diagnostics with Machine Learning: A Comparative Analysis of Classifiers
    RNKTS KURMACHALAM SRI SATHYA, Srikanth Jannu, Chaitanya Thuppari
    2025 6th International Conference on Recent Advances in Information … , 2025
    2025
  • TRANSFORMING CLOUD PRIVACY PROTECTION WITH ATTRIBUTE-BASED ACCESS CONTROL
    MKBB Dr. Naveen Kumar R, Dr. Ramesh G
    Quaderns 13 (7), 60-66 , 2025
    2025
  • SECURING GOVERNMENT HEALTHCARE SERVICES: AN EFFICIENT FRAMEWORK UTILIZING G-CLOUD TECHNOLOGY
    MKBB Dr. Naveen Kumar R, Dr. Ramesh G
    Staps 11 (6), 784-789 , 2025
    2025
  • LIGHT WEIGHT FRAMEWORK IN NETWORK SECURITY FOR THE HEALTH CARE TO IDENTIFY BOTNET IN IOT BY USING STACK ENSEMBLE DEEP LEARNING
    DNKR Dr. Ramesh G
    STAPS 11 (4), 61-71 , 2025
    2025
  • Smart Emergency Response System Using IoT for Sandstorms and Landslides
    KKSG Thirupathi Regula co-author and speaker, Warda Al Hoqani, Sunitha ...
    International Conference on Engineering and Emerging Technologies, ICEET , 2024
    2024
  • Methane Gas Prediction Model in Underground Coalmines : A Deep Learning Approach
    CTNKR Tharun Satla, Srikanth Jannu
    2023 6th International Conference on Recent Trends in Advance Computing … , 2024
    2024
  • Preventing Network Abnormalities using Machine Learning Technique
    RG Naveen Kumar, Srinivas Reddy
    Journal of Systems Engineering and Electronics 9 (33), 63-69 , 2023
    2023
  • A Scalable Server Architecture for Mobile Presence Services in Social Network Applications
    DRNK Maloth Parshuram, K.Bhaskar Babu
    Quaderns 11 (12) , 2023
    2023
  • Identification of Symptoms in Eye Images to Predict the disease of Diabetic Retinopathy by Using A3 –Layered Convolution Neural Network
    DVB 11. Dr R Naveenkumar, Ms G Arunakranthi
    Journal of Systems Engineering and Electronics 31 (1), 254-264 , 2021
    2021

GRANT DETAILS

1.(MODROB) - Aspirational Scheme of AICTE Grant of Sanctioned- Principal Investigator. Dt: 08-03-2022.
2.Smart IoT Based Solution for Assisting the Needy in Emergency Sandstorms and landslides (9,100 OMR) Dt: 09-11-2023.
PI: Dr. Thirupathi Regula (Information Technology Department)
Co PI: Dr Warda Al Hoqani (Information Technology Department)
Co-Investigators: Dr. Sharmila K. Reddy, Dr Naveen Kumar (collaborator – Vaagdevi Engineering College, India) and Dr. Shazia Tazeen (collaborator – Vaagdevi Engineering College, India)
3. AI Based Approach for fruit quality inspection in Post-Harvest Supply Chains, Grant of Rs. 3,00,000/- Sanctioned- Principal Investigator. Dt: April 23,2024.

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

1. Implementation LI_FI Based Shopping Mall Information System. Published Dt: 12-01-2024
2. AI-Driven IoT Robotics in Hazardous Waste Management for Safe and Efficient Solutions: Published Dt: 02/05/2025

Industry, Institute, or Organisation Collaboration

SITER ACADEMY, NORWAY
MEMBER OF ACM
MEMBER OF SWECHA(E-SWECHA) FORUM
LIFE MEMBER ISTE
LIFE MEMBER REDCROSS SOCIETY