Dr Pavan Kumar Vadrevu

@svecw.edu.in

Professor in Department of Information Technology
Shri Vishnu Engineering College for Women(A)

Dr Pavan Kumar Vadrevu


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https://researchid.co/vadrevu.pavan
Working as a Professor in the Department of Information Technology at Shri Vishnu Engineering College for Women(A), Bhimavaram

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science Applications, Computer Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition
12

Scopus Publications

49

Scholar Citations

4

Scholar h-index

Scopus Publications

  • Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model
    M. Archana, D L Shanthi, Pavan Kumar Vadrevu
    Communications in Computer and Information Science, 2025
  • Harvesting Growth: Leveraging Random Forests for Advancing Agricultural Productivity with Machine Learning
    G. A. K. S. Rajeev Kumar, Pavan Kumar Vadrevu, Chandra Sekhar Kolli, Ramesh Naidu Goda, B. Ravi Kumar
    Advances in Science Technology and Innovation, 2025
  • Encrypted File Sharing using Cloud for Educational Institutions
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Sustainable Teaching and Learning E-learning Model towards Redesigning Transformative Learning Model for Knowledge Sharing & Infrastructure Enhancements Post COVID-19
    Veeramanickam M.R.M., Gaganpreet Kaur, Amevi Acakpovi, Pavan Kumar Vadrevu, Ciro Rodriguez R., A. V. Kalpana
    Recent Patents on Engineering, 2025
    Background: Recently, e-learning has become a very basic, integral part of technologybased learning. Wide trends are increasing day by day because of the demands and its usage based on working remotely due to highly penetrated mobile handheld devices and digital media. The smart campus infrastructure has played a vital role to its full extent towards Z millennium students in the 20th century. The teaching and learning accessibility depends on terms of various cost-based affordable platforms, either with synchronous learning or asynchronous mode of learning. Methods: The current research explores the changeling leading to infrastructural reforms as per the need for digital media for e-learning during and after COVID-19 spreads. The perspectives in 2 forms of research study are: 1st working on infrastructural needs and demands for the smart campuses and online learning challenges and 2nd is working on platforms technology utilization for better accessible resources for all learners. This work studied different aspects during and after COVID-19, leading to the importance of uninterrupted internet access, phone, hardware and reliability, etc. In this work, the importance of gamification study and flipped classrooms for enhancing learner performance to highly engage them in learning environments focused research model on learner engagement on Gamified perceiving study with Smart PLS-SEM was investigated. Promoting sustainability in its entirety through knowledge transfer and contributions to address various challenges in the redesign of learners' syllabi to meet educational needs, emphasizing online learning to integrate various modes of learner platforms, personalized teaching and learning, peer-to-peer communication for learner enhancement, and student engagement through gamification are studied. Results: Learners who are enrolled at the school, college, and university levels of education increased exponentially post-COVID-19. More than 90% responded to school closures with different learning abilities. Nearly 50% of countries in the world are merging guidance with faculty training. The enrolment in online courses has surged to more than 80%, and the success rates for online courses have increased to more than 70%. The eventual outcome is to emphasize the two aspects of the online platform of teaching and learning by giving students higher outcomes and intelligent aspects of a smart campus. The learners progress in terms of less network connectivity loss, efficient chat system, knowledge sharing, online assessments, micro-learning, increasing engagement, and gamification rewards in online learning. PLS-SEM results indicate the fitness values for a fit model with x2/df as 1.50 and RMSEA as 0.059. Conclusion: From the learning prospective, the research focuses on inferring the importance of gamified learning applications for student learning satisfaction levels. This enhances and improves their fun learning competence.
  • Ensemble Knowledge Distillation-based Federated Learning for Effective Intrusion Detection in Heterogeneous Networks
    16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
  • Exploiting Random Forest Algorithm Toward Forecasting Chronic Obstructive Pulmonary Disease Exacerbations
    Ravi Kumar Suggala, Pavan Kumar Vadrevu, Sri Krishna Adusumalli, D. V. Nagaraju, Ratna Kanth Gudala, Sasi Kumar Bunga
    Lecture Notes in Networks and Systems, 2025
  • Secure Pool Mining through SVM-Based Miner Classification and Computation Validation in Blockchain Networks
    Srinuvas Kumar Battina, Ravi Kumar Suggala, Srinivasa Rao Dangeti, Meriga Kiran Kumar, Pavan Kumar Vadrevu, Naga Sravanthi Puppala
    Proceedings 2024 Oits International Conference on Information Technology Ocit 2024, 2024
    Since the adoption of the Blockchain network by modern technologies, which benefit from its immutability and secure access provided by its consensus process, blockchain mining has gained popularity. Blockchain networks' miners rely on the consensus procedure to contribute data to the network. Miners use their resources to publish new blocks and receive rewards, and they participate in the mining process. Since solo mining might be difficult, most miners decided to join a mining pool. Several issues surrounding the miner's choice with pool mining remain unanswered because of the range of many mining pools and the potential adoption of various incentive systems. There are a few issues to consider, though, about maintaining a miner's trust throughout the consensus and mining processes. As part of the consensus, miners that are part of a mining pool contribute their processing power toward the task of adding a block. The pool will be rewarded if they are successful in their endeavors. To guarantee the execution of the consensus protocol in pool mining, a trust evaluation model is presented in our study. As a result, trust assessment among miners is formulated in this research it is evaluated as a classification problem, and an innovative approach using machine learning is offered to classify trust. First, the vector for the trust features is built using the parameters of the Blockchain. A trust classifier can then be created by training it with samples of data that miners have acquired and that contain transaction activities. Also, the provided Trust model verifies that the total computing power of the pool for which miners are requested and the miner's computation power should be 50 percent greater than or equal to the total computation power this is for to mitigate attacks brought on by untrusted miners through forks in the Blockchain. The Hyperledger tool was used as the framework to assure robustness in analyzing transaction delay, and transaction throughput, and to achieve improved Blockchain performance. The research was carried out to demonstrate the viability of our Trust Model and to show that the trained trust classifier has comparatively high processing power.
  • Real-Time Multilingual Farming Assistance using NLP Integrated Web API
    N. Shirisha, M. Srivani, K. Kowsalyadevi, G Bhaskar Phani Ram, Pavan Kumar Vadrevu, V. Bhaskara Murthy
    3rd International Conference on Automation Computing and Renewable Systems Icacrs 2024 Proceedings, 2024
    This research introduces a smart helper designed to assist farmers in remote locations. The proposed system provides timely and relevant information on various aspects of farming, including soil management, pest control, and crop selection. Key features include personalized advice, real-time weather updates, market insights, and multilingual support. By providing farmers with easy access to critical information and decision-making tools, this system aims to enhance agricultural productivity, improve livelihoods, and promote sustainable farming practices.
  • Sign Language Recognition for Needy People Using Machine Learning Model
    Pavan Kumar Vadrevu, M. R. M. Veeramanickam, Sri Krishna Adusumalli, Sasi Kumar Bunga
    Smart Innovation Systems and Technologies, 2023
  • Hybrid of DNN Feature Extraction and Ensemble Classification for Identification of Esophagitis and Barretts in Upper Gastrointestinal Tract Images
    Vikas Khullar, Veeramanickam M. R.M, S. Muthukumarasamy, Chander Prabha, Harjit Pal Singh, Vadrevu Pavankumar
    2023 International Conference on Computer Electronics and Electrical Engineering and their Applications Ic2e3 2023, 2023
    The main focus of this work is to perform a computer vision classification method for upper gastrointestinal tract image analysis with a pre-trained deep learning features extraction stage. An open-source dataset was used containing images of upper gastrointestinal tract problems including Esophagitis (260 images) and Barretts (94 images). In the given input, image pre-processing with image re-sizing, and noise removal was applied, and then finally working extraction of features using pre-trained deep neural networks. The extracted data from the second last layer of pre-trained models represents the most prominent features. The extracted features are then classified with the help of machines and ensemble learning methods. The improved classification results have been identified using pre-trained models based on feature extraction techniques in comparison to traditional deep learning models.
  • A new framework to classify the cancerous and non-cancerous pap smear images using filtering techniques to improve accuracy
    M.S Saravanan., J Cruz Antony, V. Pavan Kumar, M.R.M Veeramanickam, Makarand Upadhyaya
    2022 1st International Conference on Artificial Intelligence Trends and Pattern Recognition Icaitpr 2022, 2022
  • A survey on personal privacy preserving data publication in IoT
    International Journal of Innovative Technology and Exploring Engineering, 2019

RECENT SCHOLAR PUBLICATIONS

  • Exploiting Random Forest Algorithm Toward Forecasting Chronic Obstructive Pulmonary Disease Exacerbations
    SK Adusumalli, DV Nagaraju, RK Gudala
    Data Processing and Networking: Proceedings of ICDPN 2024, Volume 2 2, 1 , 2025
    2025
  • Secure Pool Mining Through SVM-Based Miner Classification and Computation Validation in Blockchain Networks
    SK Battina, RK Suggala, SR Dangeti, MK Kumar, PK Vadrevu, ...
    2024 OITS International Conference on Information Technology (OCIT) , 2025
    2025
    Citations: 2
  • A Detailed Exploration of Elevating Cybersecurity through Quantum Computing Innovative Deep Learning Strategies and Optimization Methods
    KC Pavan Kumar Vadrevu, Ravi Kumar Suggala, K Lakshmipathi Raju, Syamala Rao ...
    Communications on Applied Nonlinear Analysis 32 (9s), 2432 , 2025
    2025
  • EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES
    PKV Chandra Sekhar Kolli
    Proceedings on Engineering Sciences 7 (1), 329 , 2025
    2025
    Citations: 1
  • Sustainable Teaching and Learning E-learning Model towards Redesigning Transformative Learning Model for Knowledge Sharing & Infrastructure Enhancements Post COVID-19
    V MRM, G Kaur, A Acakpovi, PK Vadrevu, C Rodriguez R, AV Kalpana
    Recent Patents on Engineering 19 (2), E031123223099 , 2025
    2025
    Citations: 7
  • Harvesting Growth: Leveraging Random Forests for Advancing Agricultural Productivity with Machine
    GR Kumar, PK Vadrevu, CS Kolli, RN Goda
    Algorithms and Computational Theory for Engineering Applications, 7 , 2025
    2025
  • Ensemble Knowledge Distillation-based Federated Learning for Effective Intrusion Detection in Heterogeneous Networks
    N Shirisha, A Prashanthi, N Banupriya, SM Ali, G Amirthayogam, ...
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
  • Detection of Foliar Pathogens in Tomato Plant Using Deep Bidirectional Recurrent Neural Networks Optimized with Fennec Fox Optimizer
    KC Ravi Kumar Suggala, Pavan Kumar Vadrevu ,K Lakshmipathi Raju, Syamala Rao ...
    FOUNDRY JOURNAL 28 (5), 120 , 2025
    2025
  • Encrypted File Sharing using Cloud for Educational Institutions
    N Shirisha, MBR Kumar, MM Latha, M Sirisha, B Srinivasulu, PK Vadrevu
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
    Citations: 1
  • Ensemble Knowledge Distillation-based Federated Learning for Effective Intrusion Detection in Heterogeneous Networks
    PKV N. Shirisha, A. Prashanthi, N. Banupriya, Syed Muqthadar Ali, Dr. G ...
    Grenze International Journal of Engineering and Technology , 2025
    2025
  • Real-Time Multilingual Farming Assistance using NLP Integrated Web API
    N Shirisha, M Srivani, K Kowsalyadevi, GBP Ram, PK Vadrevu, VB Murthy
    2024 3rd International Conference on Automation, Computing and Renewable … , 2024
    2024
    Citations: 3
  • Optimized Triple Memristor Hopfield Neural Network fostered Automated Outbreak Prediction of Epidemic Diseases using Internet of Things
    SRD Ravi Kumar Suggala1 , Pavan Kumar Vadrevu2 , Ratna Kanth Gudala3 , Suma ...
    Library Progress International 44 (5), 699 , 2024
    2024
  • A BLOCKCHAIN-BASED SMART CONTRACT SYSTEM FOR AUTOMATED CROP INSURANCE AND A METHOD THEREOF
    PKV PUPPALA NAGA SRAVANTHI, RAVI KUMAR SUGGALA
    IN Patent App. 202441091789 A , 2024
    2024
  • System and Method for Automated Index Generation for Answer Booklets Using Deep Learning
    DRK Ravichandra Sriram, Dr. P.Kayal, P. V. Rama Raju, Dr. V. Pavan Kumar, Dr ...
    IN Patent App. 202441088721 A , 2024
    2024
  • Exploiting Random Forest Algorithm Toward Forecasting Chronic Obstructive Pulmonary Disease Exacerbations
    RK Suggala, PK Vadrevu, SK Adusumalli, DV Nagaraju, RK Gudala, ...
    International Conference on Data-Processing and Networking, 1-11 , 2024
    2024
  • Comprehensive Exploration of Generative Pre-trained Transformer
    CS Kolli, S Seelamanthula, VVK Reddy, S Suryanarayanaraju, E Elamathi, ...
    International Conference on Data Analytics & Management, 487-507 , 2024
    2024
    Citations: 1
  • Harvesting Growth: Leveraging Random Forests for Advancing Agricultural Productivity with Machine Learning
    GR Kumar, PK Vadrevu, CS Kolli, RN Goda, B Ravi Kumar
    International Conference on Algorithms and Computational Theory for … , 2024
    2024
  • Speech Emotion Recognition Using CNN Classifier Based on Deep Learning Model
    M Archana, D Shanthi, PK Vadrevu
    International Conference on Advances in Artificial Intelligence and Machine … , 2023
    2023
  • Hybrid of DNN feature extraction and ensemble classification for identification of esophagitis and barretts in upper gastrointestinal tract images
    V Khullar, MRM Veeramanickam, S Muthukumarasamy, C Prabha, ...
    2023 International Conference on Computer, Electronics & Electrical … , 2023
    2023
    Citations: 2
  • Prediction of Loan Approval from Financial Institutions: A Prototype Using Machine Learning
    SKB Dutta Ramya, Pavan Kumar Vadrevu
    International Journal of All Research Education and Scientific Methods … , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Sustainable Teaching and Learning E-learning Model towards Redesigning Transformative Learning Model for Knowledge Sharing & Infrastructure Enhancements Post COVID-19
    V MRM, G Kaur, A Acakpovi, PK Vadrevu, C Rodriguez R, AV Kalpana
    Recent Patents on Engineering 19 (2), E031123223099 , 2025
    2025
    Citations: 7
  • A hybrid approach for personal differential privacy preservation in homogeneous and heterogeneous health data sharing
    PK Vadrevu, SK Adusumalli, VK Mangalapalli
    High Technology Letters 26 (9) , 2020
    2020
    Citations: 6
  • A Review on Privacy Preservation Techniques in Surveillance and Health Care Data Publication
    SKS Pavan Kumar Vadrevu, Sri Krishna Adusumalli, Vamsi Krishna Mangalapalli
    International Journal of Engineering Research & Technology (IJERT) 9 (5), 356 , 2021
    2021
    Citations: 4
  • Survey: Privacy Preserving Data Publication in the age of Big Data in IoT Era
    VKM Pavan Kumar Vadrevu, Sri Krishna Adusumalli
    International Journal of Engineering, Science and Mathematics 6 (Issue 8 … , 2017
    2017
    Citations: 4
  • Real-Time Multilingual Farming Assistance using NLP Integrated Web API
    N Shirisha, M Srivani, K Kowsalyadevi, GBP Ram, PK Vadrevu, VB Murthy
    2024 3rd International Conference on Automation, Computing and Renewable … , 2024
    2024
    Citations: 3
  • Sign language recognition for needy people using machine learning model
    PK Vadrevu, MRM Veeramanickam, SK Adusumalli, SK Bunga
    Intelligent Computing and Applications: Proceedings of ICDIC 2020, 227-233 , 2022
    2022
    Citations: 3
  • Personal privacy preserving data publication: E-Differential privacy perspective
    PK Vadrevu, SK Adusumalli, V Krishna, M Sangram, K Swain
    Solid State Technology 63 (5), 7600-9 , 2020
    2020
    Citations: 3
  • PERSONAL PRIVACY PRESERVING DATA PUBLICATION OF COVID-19 PANDEMIC DATA USING EDGE COMPUTING
    SKS Pavan Kumar Vadrevu, Sri Krishna Adusumalli, Vamsi Krishna Mangalapalli
    Journal of Critical Reviews 7 (19), 8103 , 2020
    2020
    Citations: 3
  • Motion Detection to Preserve Personal Privacy from Surveillance Data using Contrary Motion
    VKM Pavan Kumar Vadrevu, Sri Krishna Adusumalli
    International Journal of Recent Technology and Engineering (IJRTE) 8 (6), 3892 , 2020
    2020
    Citations: 3
  • A Survey on Personal Privacy Preserving Data Publication in IoT
    PK Vadrevu, SK Adusumalli, VK Mangalapalli
    International Journal of Innovative Technology and Exploring Engineering … , 2019
    2019
    Citations: 3
  • Secure Pool Mining Through SVM-Based Miner Classification and Computation Validation in Blockchain Networks
    SK Battina, RK Suggala, SR Dangeti, MK Kumar, PK Vadrevu, ...
    2024 OITS International Conference on Information Technology (OCIT) , 2025
    2025
    Citations: 2
  • Hybrid of DNN feature extraction and ensemble classification for identification of esophagitis and barretts in upper gastrointestinal tract images
    V Khullar, MRM Veeramanickam, S Muthukumarasamy, C Prabha, ...
    2023 International Conference on Computer, Electronics & Electrical … , 2023
    2023
    Citations: 2
  • A new framework to classify the cancerous and non-cancerous pap smear images using filtering techniques to improve accuracy
    MS Saravanan., JC Antony, VP Kumar, MRM Veeramanickam, ...
    https://ieeexplore.ieee.org/document/9844216 , 2022
    2022
    Citations: 2
  • EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES
    PKV Chandra Sekhar Kolli
    Proceedings on Engineering Sciences 7 (1), 329 , 2025
    2025
    Citations: 1
  • Encrypted File Sharing using Cloud for Educational Institutions
    N Shirisha, MBR Kumar, MM Latha, M Sirisha, B Srinivasulu, PK Vadrevu
    Grenze International Journal of Engineering & Technology (GIJET) 11 , 2025
    2025
    Citations: 1
  • Comprehensive Exploration of Generative Pre-trained Transformer
    CS Kolli, S Seelamanthula, VVK Reddy, S Suryanarayanaraju, E Elamathi, ...
    International Conference on Data Analytics & Management, 487-507 , 2024
    2024
    Citations: 1
  • Multi-Criteria Fuzzy AHP Method for Analyzing the Importance of E-Learning Platforms during Covid-19
    MRM Veeramanickam, S Gorbachev, PK Vadrevu, D Shevchuk, ...
    Artificial Intelligence Impressions 1, 233-254 , 2022
    2022
    Citations: 1
  • Exploiting Random Forest Algorithm Toward Forecasting Chronic Obstructive Pulmonary Disease Exacerbations
    SK Adusumalli, DV Nagaraju, RK Gudala
    Data Processing and Networking: Proceedings of ICDPN 2024, Volume 2 2, 1 , 2025
    2025
  • A Detailed Exploration of Elevating Cybersecurity through Quantum Computing Innovative Deep Learning Strategies and Optimization Methods
    KC Pavan Kumar Vadrevu, Ravi Kumar Suggala, K Lakshmipathi Raju, Syamala Rao ...
    Communications on Applied Nonlinear Analysis 32 (9s), 2432 , 2025
    2025
  • Harvesting Growth: Leveraging Random Forests for Advancing Agricultural Productivity with Machine
    GR Kumar, PK Vadrevu, CS Kolli, RN Goda
    Algorithms and Computational Theory for Engineering Applications, 7 , 2025
    2025