SR University

S. P. Namala, S. Chintala, and D. R. Edla. "A ConvNeXt–Liquid Neural Network Framework for Accurate RL Disease Classification." Computers and Electronics in Agriculture, Vol. 254, Article 112271, 2026. DOI: 10.1016/j.compag.2026.112271.

K. Gouthami, S. Chintala, S. K. Henge, D. Nandan, and C. K. Choubey. "Dense Channel Spatial Semantic Guidance Attention U-Net for Robust Road Lane Detection in Autonomous Vehicles." Discover Computing, Vol. 29, Article 753, 2026. DOI: 10.1007/s10791-026-10689-7.

S. K. Henge, D. Mehta, S. Chintala, D. Nandan, K. Suneetha, and C. K. Hinge. "Quantum Kernel Layered Inception ResNet-Based Optimization Techniques for Early Detection of Diabetic Retinopathy and Liver Disease." Archives of Computational Methods in Engineering, pp. 1–44, 2026.

S. K. Henge, S. Chintala, and D. Nandan. "Analytical Survey: Early Detection of Kidney Tumor Consequences and Auto Decision Making Through Tomography Images Using Rule-Based Systems Augmenting Deep Learning." Archives of Computational Methods in Engineering, pp. 1–49, 2026.

M. M. Afonso, D. R. Edla, S. Chintala, and R. Ravi. "Enhanced Feature Vector Reduction of S-Transformed Electroencephalography Signal for Optimal Parkinson’s Disease Detection." Biomedical Signal Processing and Control, Vol. 108, Article 107922, 2025. DOI: 10.1016/j.bspc.2025.107922.

V. Shirodkar, D. R. Edla, A. Kumari, and S. Chintala. "Event-Related Desynchronization Detection and Electroencephalography Motor Imagery Classification Using Vision Transformer." Intelligent Data Analysis, Vol. 29(6), pp. 1598–1614, 2025.

N. Gudikandula, R. Janapati, R. Sengupta, and S. Chintala. "Brain Computer Interface Based Emotion Recognition with Error Analysis and Challenges: An Interdisciplinary Review." Discover Applied Sciences, Vol. 7(8), Article 857, 2025. DOI: 10.1007/s42452-025-06692-0.

S. Chintala, A. Nimmala, and V. Bijalwan. "Intelligent Farming: Crop Recommendation System Powered by Decision Tree Classification." GRENZE International Journal of Engineering and Technology, Vol. 11(2), pp. 2341–2344, 2025.

S. Chintala, N. Shree Deepthi, and V. Bijalwan. "Enhanced Classification of Iris Species Using KMedoids with Explainable AI." GRENZE International Journal of Engineering and Technology, Vol. 11(2), pp. 2365–2369, 2025.

S. Chintala, M. B. Reddy, S. Gude, D. R. Edla, and B. Ravi. "Least Mean Square/Fourth Adaptive Algorithm for Excision of Ocular Artifacts from EEG Signals." Applied Acoustics, Vol. 221, Article 110009, 2024.

S. Chintala, J. Thangaraj, and D. R. Edla. "Elimination of EOG Signals from Raw EEG Signals Using Step Size Based Recursive Least Squares–Least Mean Fourth Adaptive Algorithm." Applied Acoustics, Vol. 180, Article 108097, 2021. DOI: 10.1016/j.apacoust.2021.108097.

S. Chintala, J. Thangaraj, and D. R. Edla. "Mixed Step Size Normalized Least Mean Fourth Adaptive Algorithm for Artifact Elimination from Raw EEG Signals." Biomedical Signal Processing and Control, Vol. 65, Article 102392, 2021. DOI: 10.1016/j.bspc.2020.102392.

A. Bablani, D. R. Edla, D. Tripathi, S. Dodia, and S. Chintala. "A Synergistic Concealed Information Test with Novel Approach for EEG Channel Selection and SVM Parameter Optimization." IEEE Transactions on Information Forensics and Security, Vol. 14(11), pp. 3057–3068, 2019. DOI: 10.1109/TIFS.2019.2913798.

P. Bhardwaj, M. K. Das, A. Kumar, and S. Chintala. "Performance Evaluation of Different Dielectric Substrates for Microstrip Antenna at Terahertz Frequencies." 2026 IEEE Guwahati Subsection Conference (GCON), pp. 1–6, 2026.

S. Mothe, S. Chintala, and R. C. Janapati. "Removal of Artifacts from EEG Signal Using Adaptive Learning Methods: A Review." Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications, 2026.

S. K. Henge, S. Chintala, and C. K. Hinge. "Quantum Inception-ResNet with Hybrid Angle Amplitude Encoding with Parity ReadoutPairs for Diabetic Retinopathy and Liver Disease Classification and Segmentation." 2026 IEEE International Conference on Emerging Computing and Intelligent Technologies, 2026.

Y. Eshwari, S. Chintala, and B. Maram. "Ocular Artifacts Removal from EEG Signals Using Machine/Deep Learning Algorithms." 2026 IEEE International Conference on Emerging Computing and Intelligent Technologies, 2026.

N. S. Rani and S. Chintala. "Deep Learning-Based Brain Stroke Prediction: A Proposed X-LSTM Approach." 2026 IEEE International Conference on Emerging Computing and Intelligent Technologies, 2026.

B. Eramma, K. A. Jyosthna, K. Surekha, N. Jyothi, S. Chintala, and K. U. Maheswari. "An Explainable-AI 3D-CNN Based Multi-Class Brain Tumor Detection and Grading System with Visual Interface." 2026 6th International Conference on Image Processing and Capsule Networks, 2026.

A. Gadde and S. Chintala. "Comprehensive Study on Heart Disease Prediction and Risk Stratification Using Explainable Artificial Intelligence Technique." 2025 International Conference on Intelligent Systems and Computational Technologies, 2025.

A. Gadde and S. Chintala. "Hybrid Deep Learning Approach for Heart Disease Prediction Using Multi-Head Attention Network and Stacked Long Short-Term Memory." 2025 International Conference on Intelligent Computing and Knowledge Technologies, 2025.

N. Gaur and S. Chintala. "Enhancing Sentiment Analysis with Hybrid Transformer-ML Models: A Deep Learning and Explainable AI Approach." International Conference on Recent Trends in Machine Learning, IoT, and Smart Technologies, 2025.

G. Aruna, S. Chintala, T. Radhika, and S. Gude. "Anemia Detection Using Voting Classifier." 9th IET Smart Cities Symposium (SCS 2025), pp. 897–901, 2025.

S. Chintala, S. Cheepiri, V. Kokkisa, J. Kolluri, and D. S. Acharya. "Transparent Parkinson’s Risk Assessment via XGBoost and SHAP Explanations." 2025 IEEE 7th International Conference on Cybernetics, Cognition and Machine Learning Applications, 2025.

S. Chintala, M. Jagadeesh, K. Akshith, and D. S. Acharya. "Obesity Prediction Using Adaptive Moment Estimation Optimizer." 2025 2nd International Conference on Recent Trends in Electrical Engineering and Computing Technologies, 2025.

S. Chintala, S. C. Kota, and P. Bhardwaj. "Enhancing Obesity Prediction with Explainable AI: A DeepHealthNet-Based Comparative Study." 2025 International Conference on Communication and Smart Devices (ICCoSD), Vol. 1, pp. 1–4, 2025.

S. Chintala, D. S. Acharya, V. Adharasani, and R. Shireen. "Emotion Recognition of Golden Retriever Using Deep Learning." 2025 International Conference on Communication and Smart Devices (ICCoSD), Vol. 1, pp. 1–5, 2025.

S. Chintala, S. Cheepiri, T. Kokkula, T. Radhika, D. S. Acharya, and V. Bijanwal. "Heart Attack Prediction Using Random Forest." 2025 Seventh International Conference on Computational Intelligence and Communication Technologies, 2025.

N. Gudikandula, R. C. Janapati, R. Sengupta, and S. Chintala. "Recent Advancements in Online Ocular Artifacts Removal in EEG Based BCI: A Review." 2024 15th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2024.

N. Gudikandula, R. C. Janapati, R. Sengupta, and S. Chintala. "Automated Electroencephalogram-Based Emotion Detection: A Review." 2024 Second International Conference on Intelligent Cyber Physical Systems (ICoICI), 2024.

T. Radhika, S. Chintala, A. Soujanya, and P. Bhardwaj. "Breast Cancer Prediction Using Explainable Boosting Classifier." International Conference on Data Science, Machine Learning and Applications, 2024.

S. Mothe, S. Chintala, and R. C. Janapati. "Removal of Artifacts from EEG Signal Using Adaptive Learning Methods: A Review." International Conference on Data Science, Machine Learning and Applications, 2024.

S. Chintala, R. C. Janapati, P. Bhardwaj, and S. Gude. "NAFLD Detection Using Natural Gradient Boosting: A Probabilistic Ensemble Approach for Improved Accuracy and Calibration." International Conference on Data Science, Machine Learning and Applications, 2024.

S. Mothe, S. Chintala, R. C. Janapati, and P. Bhardwaj. "Modified Step Size Least Mean Fourth Algorithm for Artifact Elimination from EEG Signals." 2024 IEEE Silchar Subsection Conference (SILCON), pp. 1–5, 2024.

J. Podishetti, S. Chintala, and S. Gude. "An Application of Deep Learning Techniques in Trajectory Planning of Autonomous Vehicles." 2024 4th International Conference on Sustainable Expert Systems (ICSES), pp. 776–780, 2024.

S. Chintala and J. Thangaraj. "Ocular Artifact Elimination from EEG Signals Using RVFF-RLS Adaptive Algorithm." 2020 National Conference on Communications (NCC), pp. 1–6, 2020.

S. Chintala, A. Kumar, and J. Thangaraj. "Ocular Artifact Elimination from EEG Signals Using Robust Variable Step Size LMF Adaptive Algorithm." 2020 IEEE 17th India Council International Conference (INDICON), pp. 1–5, 2020.

S. Chintala, J. Mishra, and J. Thangaraj. "Variable Step Size NLMF Adaptive Algorithm for Elimination of Ocular Artifacts from EEG Signals." 2020 5th International Conference on Computing, Communication and Security, 2020.

S. Chintala, J. Thangaraj, and D. R. Edla. "GVFF-RLS Adaptive Algorithm for Elimination of Ocular Artifacts from EEG Signals." 2019 IEEE 16th India Council International Conference (INDICON), pp. 1–4, 2019.

N. Gaur and S. Chintala. "Sentiment Analysis with AI: Approaches, Datasets, Applications, Limitations, Challenges, and Future Directions." AI-Driven Threat Intelligence Frameworks: Revolutionizing Enterprise, 2026.

T. Radhika and S. Chintala. "Detection of Alzheimer’s Disease Using Deep Learning MobileNet Model." Security Issues in Communication Devices, Networks and Computing Models, 2025.

N. Gudikandula, R. Janapati, and S. Chintala. "Optimized Emotion Recognition Using Swarm Intelligence and Explainable AI for EEG Based Analysis." Source listed as SEED, pp. 18–19, 2025. Publication type requires verification.

Dr. Sridhar Chintala

Interests

Research Areas

Student Supervision

Key Publications