G Sunil Reddy

@sru.edu.in

Assistant Professor, Department of Computer Science and Engineering
SR University ( formally S R Engineering College)

G Sunil Reddy


               Download Compact PDF  
https://researchid.co/sunilreddy

RESEARCH INTERESTS

Cyber Security, Computer Forensics, Data Mining, IoT, Network security,
140

Scopus Publications

627

Scholar Citations

13

Scholar h-index

18

Scholar i10-index

Scopus Publications

  • Intelligent cybersecurity systems for phishing attack detection - An overview
    Avula Vennela, Ramesh Babu Akarapu, Bairi Levi Rakshith, Lazarus Godson Asirvatham, G. Sunil
    Computers and Electrical Engineering, 2026
  • Skin Disease Diagnosis by using MobileNetV3Large
    G Sunil, Shanvi Chauhan, Saurabh Fulara, Chandra Kishore, Neha Sharma
    2026 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2026, 2026
  • An Optimized Framework to Monitor Remotely Gis Data in Urban Cities
    Sandeep Kumar Thota, Venkata Ramana Gudelli, G. Sunil, Neeraj Varshney, Anandakumar Haldorai, et al.
    Lecture Notes in Networks and Systems, 2026
  • Optimizing internet of things security through blockchain enabled software defined networking
    Sridevi Tumula, Y. Ramadevi, M. Rudra Kumar, Premkumar Chithaluru, Ramesh Babu Palamakula, et al.
    Scientific Reports, 2025
  • Evaluating the Performance of a Fine-Tuned Xception Network for Skin Cancer Classification
    Ritu Rani, G Sunil
    Proceedings 3rd International Conference on Advancement in Computation and Computer Technologies Incacct 2025, 2025
    Still a major global health issue, skin cancer depends mostly on early and correct diagnosis to lower mortality rates. For medical image analysis, especially with regard to skin cancer classification, deep learning has become a transforming tool. In this work, we present an Xception-based fine-tuned deep learning model to categorize multiclass skin lesions. By means of architectural changes and transfer learning, the model was tuned to extract strong features and enhance generalization over a heterogeneous dataset. With cutting-edge methods including Swish activation, dropout regularization, and batch normalization, the network attained an accuracy of 88%. We examined training and validation performance to assess the model and observed a consistent drop in training loss while preserving a constant validation loss, hence indicating efficient learning and lower overfit. Comparative experiments demonstrated the efficacy of the fine-tuned Xception model using currently used hybrid and ensemble-based techniques such RvXmBlendNet and IncepX-Ensemble Model. Moreover, dropout layers significantly improved the generalizing ability of the network, hence addressing usual overfitting in medical data sets. This work advances automated diagnosis systems by showing the possibilities of transfer learning and optimized architectures in skin cancer detection. The suggested model presents a good tool for helping doctors classify and early detect skin lesions.
  • Automated Bone Fracture Detection in Radiographic Images Using a Fine-Tuned AlexNet Model
    Ritu Rani, G Sunil
    Proceedings 3rd International Conference on Advancement in Computation and Computer Technologies Incacct 2025, 2025
    Bone fractures are major medical problems requiring correct diagnosis and fast treatment for effective patient care. This paper explores the implementation of a modified AlexNet model for automated bone fracture detection utilizing radiographic X-ray images. Deep learning and transfer learning let training on a dataset of 10,580 X-ray images split into test, validation, and training sets produce a model. The AlexNet model achieved an overall accuracy of 94% with precision and recall values of 92% and 95% for non-fractured cases and respectively 96% and 94%. These tests reveal the model's degree of discrimination between non-fractured and fractured contexts. Preprocessing techniques, including data augmentation, normalization, and contrast enhancement, improved the model’s robustness and adaptability to diverse imaging conditions. Despite a minor discrepancy between training and validation accuracies, the results indicate the model’s potential to support radiologists by enhancing diagnostic efficiency and accuracy in clinical workflows. Future work aims to address current limitations by expanding the dataset, exploring advanced architectures, and integrating the model into clinical systems for real-time diagnosis. This study highlights the potential of deep learning in reducing manual diagnostic workloads and improving patient outcomes through reliable and efficient automated fracture detection.
  • Privacy and Security of Vehicular Ad Hoc Network in Intelligent Transport System
    G. Sunil, Malatesh Akkur, Dhiraj Kapila
    Lecture Notes in Electrical Engineering, 2025
  • Integrating CNN and KNN for Automated Diagnosis of Stripe Rust in Wheat
    G Sunil, Deepak Banerjee, Zaeid Ajsan Salami
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
    In this painting, researchers created and assessed a version to categorize wheat leaf Stripe Rust ailment into ten wonderful Condition Intensity tiers. F1 rankings, consideration, and precision for all training display the right overall performance. The quality precision (97.77%), bear in mind (97.83%), and F1-rating (97.80%) had been proven by way of Condition Intensity nine, indicating the version’s accuracy in figuring out extreme ailment intensities. High overall performance was also verified utilizing the bulk of different conditions, including Condition Intensity 6 (97.58% precision, 97.50% bear in mind, 97.54% F1-rating) and Condition Intensity 7 (97.60% precision, 97.67% recall, 97.63% F1-rating). Even though Condition Intensity 10 had fairly decreased ratings, with 92.81% precision, 92.59% consider, and 92.70% F1-score, the model nonetheless maintained correct accuracy. All lessons were performed with an accuracy of 99%, and the consequences were uniform in terms of support and accuracy. With the most important assist matter (1,431) and a percentage of 0.14, Condition Intensity 9 verified the steadiness of the model whilst implemented to large datasets. With 10,245 photos used to train it, the simulation yielded a general accuracy of 93.02%. Lower depth conditions showed the model’s ability to address fewer, not unusual instances well; as an instance, Condition Intensity eight with a guide be counted of 532 and Condition Intensity 10 with 432 each maintained 99% accuracy. Overall, the consequences show that the model can accurately and precisely categorize numerous ailment depth degrees with sturdy recall, accuracy, F1 ratings, and precision, which makes it useful for actual-world wheat ailment management packages.
  • Hardware and Power Analysis of FPGA-Based Half Subtractor Implementations: A Comparative Study
    Mohit Kumar Goel, G Sunil, Zaeid Ajsan Salami
    2025 4th Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5 0 Otcon 2025, 2025
  • Oral Lesion Malignancy Detection using Pretrained Xception Model
    G Sunil, Seerat Singla, Sonal Malhotra, Kamlesh Kukreti
    Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025, 2025
  • Optimizing Energy-Efficient Clustering Algorithms for Prolonged Lifetime in WSN-IoT Deployments
    G Sunil, Gaurav Tuteja, Parul Nasra, Haayder M. Abbas
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
  • Chest X-Ray based Pneumonia Detection using EfficientNetB1
    G Sunil, Seerat Singla, Sonal Malhotra, Kamlesh Kukreti
    4th International Conference on Applied Artificial Intelligence and Computing Icaaic 2025, 2025
  • Deciphering Neural Patterns using LSTM from EEG Signals
    Anmol Rattan Singh, Gurjinder Singh, G Sunil, Mohhamied Husaein Fallaah
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
  • Apple Leaf Disease Classification using Transfer Learning with MobileNetV2
    G Sunil, Seerat Singla, Sonal Malhotra, Kamlesh Kukreti
    Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025, 2025
  • Leaf Disease Segmentation Using Hybrid U-Net Model: A Deep Learning Approach for Precise Plant Pathology Detection
    G Sunil, Gunjan Shandilya, Sonal Malhotra, Kamlesh Kukreti
    4th International Conference on Applied Artificial Intelligence and Computing Icaaic 2025, 2025
  • Seeing Smiles Clearly: Automated Detection of Common Dental Conditions with ResNet18
    G Sunil, Shanvi Chauhan, Saurabh Fulara, Chandra Kishore
    Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025, 2025
  • Bringing Intelligence to Skin Disease Diagnosis with MobileNetV3Large
    G Sunil, Shanvi Chauhan, Saurabh Fulara, Chandra Kishore
    Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025, 2025
  • Scalable Tea Leaf Disease Detection Using a Fine-Tuned EfficientNetV2B3 Model
    G Sunil, Shanvi Chauhan, Saurabh Fulara, Chandra Kishore
    Proceedings of the 2025 International Conference on Artificial Intelligence and Emerging Technology Global AI Summit 2025, 2025
  • Fruit and Vegetable Decay Detection using CNNs for Smart Agricultural Monitoring
    G Sunil, Gunjan Shandilya, Sonal Malhotra, Kamlesh Kukreti
    Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025, 2025
  • Channel-Shuffle UNet: An Efficient Boundary-Preserving Framework for Nucleus Segmentation
    Gunjan Shandilya, Sheifali Gupta, G Sunil, Sonal Malhotra, Kamlesh Kukreti
    Proceedings of 6th International Conference on Iot Based Control Networks and Intelligent Systems Icicnis 2025, 2025
  • Hand Fracture Detection Using Convolutional Neural Networks: A Deep Learning Approach for Automated Diagnostics
    Mohit Kumar Goel, Gurpreet Singh, G Sunil, Hasssan MuhamedAle, Gaurav Sharma
    2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
  • An Efficient HWPARMA-based Multi-Sector Analysis to Combat the Impact of Pandemic
    Sangeeta Gupta, Premkumar Chithaluru, Md. Aleem Pasha, Sunil Reddy Goli, Bhupesh Kumar Dewangan
    2025 4th Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 5 0 Otcon 2025, 2025
  • Improved Whale Optimization Algorithm Based Energy Efficient Secure Routing in Mobile Wireless Sensor Networks
    M. Naga Raju, G. Sunil, Zainab Abed Almoussawi, P. Ravi Kiran Varma, Subhra Chakraborty
    Lecture Notes in Electrical Engineering, 2025
  • Assessing the Societal Impact of Autonomous AI Agents
    Supraja Ayyamgari, Chaitanya Tumma, Abid Salati, Thamaraimanalan T, Anjani Kumar Rai, et al.
    2025 3rd International Conference on Computational Intelligence and Network Systems Cins 2025, 2025
  • Design and Implementation of a Compact Dual -Band Microstrip Antenna with DGS for sub-6 GHz, Satellite, and other X-Band Applications
    Praveen Kumar Malik, Rashmi Roges, Sandeep Sharma, Anurag Sharma, Sakshi Chamoli, et al.
    2025 5th International Conference on Advancement in Electronics and Communication Engineering Aece 2025, 2025

RECENT SCHOLAR PUBLICATIONS

  • Intelligent cybersecurity systems for phishing attack detection-An overview
    A Vennela, RB Akarapu, BL Rakshith, LG Asirvatham, G Sunil
    Computers and Electrical Engineering 130, 110829 , 2026
    2026
    Citations: 4
  • Skin Disease Diagnosis by using MobileNetV3Large
    G Sunil, S Chauhan, S Fulara, C Kishore, N Sharma
    2026 IEEE International Students' Conference on Electrical, Electronics and … , 2026
    2026
  • Chest X-Ray based Pneumonia Detection using EfficientNetB1
    G Sunil, S Singla, S Malhotra, K Kukreti
    2025 4th International Conference on Applied Artificial Intelligence and … , 2025
    2025
  • Leaf Disease Segmentation Using Hybrid U-Net Model: A Deep Learning Approach for Precise Plant Pathology Detection
    G Sunil, G Shandilya, S Malhotra, K Kukreti
    2025 4th International Conference on Applied Artificial Intelligence and … , 2025
    2025
  • Channel-Shuffle UNet: An Efficient Boundary-Preserving Framework for Nucleus Segmentation
    G Shandilya, S Gupta, G Sunil, S Malhotra, K Kukreti
    2025 6th International Conference on IoT Based Control Networks and … , 2025
    2025
  • Bringing Intelligence to Skin Disease Diagnosis with MobileNetV3Large
    G Sunil, S Chauhan, S Fulara, C Kishore
    2025 6th International Conference on IoT Based Control Networks and … , 2025
    2025
  • Fruit and Vegetable Decay Detection using CNNs for Smart Agricultural Monitoring
    G Sunil, G Shandilya, S Malhotra, K Kukreti
    2025 6th International Conference on IoT Based Control Networks and … , 2025
    2025
  • Apple Leaf Disease Classification using Transfer Learning with MobileNetV2
    G Sunil, S Singla, S Malhotra, K Kukreti
    2025 6th International Conference on IoT Based Control Networks and … , 2025
    2025
  • Oral Lesion Malignancy Detection using Pretrained Xception Model
    G Sunil, S Singla, S Malhotra, K Kukreti
    2025 6th International Conference on IoT Based Control Networks and … , 2025
    2025
  • Seeing Smiles Clearly: Automated Detection of Common Dental Conditions with ResNet18
    G Sunil, S Chauhan, S Fulara, C Kishore
    2025 6th International Conference on IoT Based Control Networks and … , 2025
    2025
    Citations: 1
  • Neural Network-based Predictive Models for Accurate Crop Yield Forecasting
    YR Sharma, SR Ch, S Bojja, PH Rao, G Sunil
    2025 5th International Conference on Evolutionary Computing and Mobile … , 2025
    2025
  • Design and Implementation of a Compact Dual-Band Microstrip Antenna with DGS for sub-6 GHz, Satellite, and other X-Band Applications
    PK Malik, R Roges, S Sharma, A Sharma, S Chamoli, G Sunil
    2025 5th International Conference on Advancement in Electronics … , 2025
    2025
  • Scalable Tea Leaf Disease Detection Using a Fine-Tuned EfficientNetV2B3 Model
    G Sunil, S Chauhan, S Fulara, C Kishore
    2025 2nd Global AI Summit-International Conference on Artificial … , 2025
    2025
  • Cross-Layer Optimization in AI-Powered Cognitive Radio Networks for Dynamic Spectrum Access
    T Sheela, D Kaleeswaran, ALNA Kumar, G Sunil
    2025 9th International Conference on Electronics, Communication and … , 2025
    2025
  • Development and Implementation of an IoT-Enabled CNC Router with Integrated Vibration Monitoring System for Industry 4.0
    PN Kumar, D Loganathan, D Poospadi, G Sunil, N Rajesha, PK Shukla
    2025 12th International Conference on Emerging Trends in Engineering … , 2025
    2025
  • Reinforcement Learning for Adaptive AI Systems
    S Powar, PS Tambe, S Joshi, G Sunil, P Jyothi
    2025 3rd World Conference on Communication & Computing (WCONF), 1-6 , 2025
    2025
  • Enhancing WSN Efficiency with SDN: A Deployment using SDN-WISE for Improved Routing anssd Network Longevity
    KV Guru, A Tudigani, N Duraichi, G Sunil, C Jency, P Shanmugaraja
    2025 Global Conference in Emerging Technology (GINOTECH), 1-5 , 2025
    2025
  • Automated bone fracture detection in radiographic images using a fine-tuned AlexNet model
    R Rani, G Sunil
    2025 3rd International Conference on Advancement in Computation & Computer … , 2025
    2025
    Citations: 3
  • Evaluating the Performance of a Fine-Tuned Xception Network for Skin Cancer Classification
    R Rani, G Sunil
    2025 3rd International Conference on Advancement in Computation & Computer … , 2025
    2025
    Citations: 2
  • An Efficient HWPARMA-based Multi-Sector Analysis to Combat the Impact of Pandemic
    S Gupta, P Chithaluru, MA Pasha, SR Goli, BK Dewangan
    2025 4th OPJU International Technology Conference (OTCON) on Smart Computing … , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Checking for identity-based remote data integrity cloud storage with perfect data privacy
    M Akarapu, S Martha, KR Donthamala, B Prashanth, G Sunil, K Mahender
    IOP Conference Series: Materials Science and Engineering 981 (2), 022034 , 2020
    2020.0
    Citations: 71
  • RETRACTED ARTICLE: Enhanced image diagnosing approach in medicine using quantum adaptive machine learning techniques
    S Suneel, R Krishnamoorthy, A Gopatoti, LP Maguluri, P Kuncha, G Sunil
    Optical and Quantum Electronics 56 (4), 534 , 2024
    2024.0
    Citations: 37
  • A Gated Recurrent Unit Based Continual Normalization Model for Arrythmia Classification Using ECG Signals
    C Manjunath, KL Hemalatha, V Sandya, G Sunil, AM Shakir
    2023 International Conference on Ambient Intelligence, Knowledge Informatics … , 2023
    2023.0
    Citations: 29
  • Role of blockchain technologies in goods and services tax
    J Kaur, R Khanna, R Kumar, G Sunil
    2024 3rd International Conference on Sentiment Analysis and Deep Learning … , 2024
    2024.0
    Citations: 25
  • IoT based saline level monitoring system
    G Sunil, S Aluvala, G Ranadheer Reddy, V Sreeharika, P Sindhu, ...
    IOP Conference Series: Materials Science and Engineering 981 (3), 032095 , 2020
    2020.0
    Citations: 25
  • Antioxidant activity in children with ADHD–a comparison in untreated and treated subjects with normal children
    K Ruchi, A Kumar, G Sunil, A Bashir, S Prabhat
    IIUM Medical Journal Malaysia 10 (1) , 2011
    2011.0
    Citations: 25
  • Rahman. 2011
    A Rahim
    Nilai-Nilai Utama Kebudayaan Bugis , 0
    Citations: 20
  • An IoT based obstacle avoidance robot using ultrasonic sensor and arduino
    R Mothe, S Tharun Reddy, G Sunil, C Sidhardha
    IOP conference series: materials science and engineering 981 (4), 042002 , 2020
    2020.0
    Citations: 16
  • Classifying lung cancer disease using random forest algorithm
    V Madaan, N Sharma, R Chauhan, K Joshi, BV Kumar, G Sunil
    2024 4th International Conference on Innovative Practices in Technology and … , 2024
    2024.0
    Citations: 15
  • Security Enhancement of Genome Sequence Data in Health Care Cloud
    SY G. Sunil, Srinivas Aluvala, Nagender Yamsani, Kanegonda Ravi Chythanya
    International Journal of Advanced Trends in Computer Science and Engineering … , 2019
    2019.0
    Citations: 15
  • Security and Safety in Amazon EC2 Service–A Research on EC2 Service AMIs‖
    KR Chythanya, G Sunil, KS Kumar, SN Korra, A Harshavardhan
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019.0
    Citations: 15
  • A SURVEY ON NEW APPROACHES OF INTERNET OF THINGS DATA MINING
    RK Mohmmad Sallauddin, G. Sunil
    International Journal of Advanced Research in Computer Science (IJARCS) 8 (8 … , 2017
    2017.0
    Citations: 14
  • EXTENT OF HEAVY METAL CONTAMINATION IN LEAFY VEGETABLES, SOIL AND WATER FROM SURROUNDING OF MUSI RIVER, HYDERABAD, INDIA.
    E Swapna Priya, G Sunil, K Shivaiah, A Gaddameedi, A Kumar
    Journal of industrial pollution control 30 (2) , 2014
    2014.0
    Citations: 13
  • Transfer learning empowered multi-class classification of kidney diseases: A deep learning approach
    G Sharma, V Anand, R Chauhan, HS Pokhariya, S Gupta, G Sunil
    2024 2nd International Conference on Advancement in Computation & Computer … , 2024
    2024.0
    Citations: 12
  • Implementing the XGBOOST classifier for bankruptcy detection and smote analysis for balancing its data
    K Garg, KS Gill, S Malhotra, S Devliyal, G Sunil
    2024 2nd International Conference on Computer, Communication and Control … , 2024
    2024.0
    Citations: 12
  • Classification of reptiles and amphibians using transfer learning and deep convolutional neural networks
    KS Gill, R Gupta, S Malhotra, S Devliyal, G Sunil
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-5 , 2024
    2024.0
    Citations: 11
  • Assessment of core capacities for antimicrobial stewardship practices in Indian hospitals: report from a multicentric initiative of global health security agenda
    M Purva, G Randeep, M Rajesh, CM Mahesh, G Sunil, K Subodh, ...
    Indian journal of medical microbiology 37 (3), 309-317 , 2019
    2019.0
    Citations: 11
  • InsightBrain: CNN-based binary classification of brain tumor images
    G Sharma, V Anand, R Chauhan, HS Pokhariya, S Gupta, G Sunil
    2024 2nd International Conference on Advancement in Computation & Computer … , 2024
    2024.0
    Citations: 10
  • Revolutionizing Fracture Diagnosis: A Deep Learning Approach for Bone Fracture Detection and Classification
    K Mittal, KS Gill, P Aggarwal, RS Rawat, G Sunil
    2024 OPJU International Technology Conference (OTCON) on Smart Computing for … , 2024
    2024.0
    Citations: 9
  • Advancing renal health: unleashing the power of CNNs in multi-class classification for precise kidney condition diagnosis
    R Rajora, H Gupta, S Malhotra, S Devliyal, G Sunil
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-5 , 2024
    2024.0
    Citations: 9