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EAMCET | ICET | ECET | CODE: BVRI

PGECET | CODE: BVRI1 | NIRF

Research and Development

Journals: 

  1. Uday Kiran, G., Srilakshmi, V., Lavanya, B., Priyanka, B., “IntelliForecast: A Machine Learning Framework with Feature Engineering for Efficient Forecasting of Electricity Load”, International Research Journal of Multidisciplinary Technovation, Vol 7, No 5, pp. 14-30, 2025.
  2. Lella, K.K., Thatha, V.N., Pamula, U., Uday Kiran, G., Jagadesh, B.N., Vatambeti, R., “Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis”, IEEE Access, Vol 12, pp. 28972-28987, 2024. DOI: 10.1109/ACCESS.2024.3367889.
  3. Bhagat, H.V., Uday Kiran, G., Singh, M., “ImpClust: An Algorithm to Cluster Chemical Datasets for Drug Discovery”, International Journal of Intelligent Engineering and Systems, Vol 17, No 1, pp. 54-64, 2024. DOI: 10.22266/ijies2024.0229.06.
  4. G Uday Kiran, Sneha Raga Soujanya, M Mounika, Narasimha Chary CH, “A Machine Learning Pipeline and Application for Automatic Classification of Clinical Documents”, International Journal on Recent and Innovation Trends in Computing and Communication, Vol 11, Issue 10, 2023. DOI:17762/ijritcc.v11i10.8512.
  5. Stateczny, A., Uday Kiran, G., Bindu, G., Ravi Chythanya, K.R., Ayyappa Swamy, K., “Spiral Search Grasshopper Features Selection with VGG19-ResNet50 for Remote Sensing Object Detection”, Remote Sensing, Vol 14, No 21, pp. 5398, 2022. DOI: 10.3390/rs14215398.
  6. Sivakami, R., Uday Kiran, G., Arun, M., David, L.G., Manur, M., “Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System”, Journal of System and Management Sciences, Vol 12, No 4, pp. 398-412, 2022. DOI: 10.33168/JSMS.2022.0428.
  7. G Uday Kiran, D Vasumathi, “Predicting Parkinson’s Disease using Extreme Learning Measure and Principal Component Analysis based Mini SOM”, Annals of the Romanian Society for Cell Biology, Vol 25, No 4, 2021.
  8. Uday Kiran, G., Vasumathi, D., “Disease detection using enhanced K-means clustering and davies-bouldin index in big data-safe engineering application”, Journal of Green Engineering, Vol 10, No 12, pp. 13089-13106, 2020.
  9. Uday Kiran, G., Vasumathi, D., “Overlap clustering technique based on the improved hierarchical agglomerative clustering”, Journal of Green Engineering, Vol 10, No 11, pp. 11594-11607, 2020.
  10. G Uday Kiran, “A Hybrid Clustering Algorithm to Reduce Dimensions and Optimal Selection of K-Centroids for Healthcare Datasets”, Journal of Applied Science and Computations, Vol 07, Issue 11, pp 110-119, 2020.

Conferences:

  1. Uday Kiran, G., Srilakshmi, V., Reddy, G.J.P., Divya, B., Laxmi, H.B., “SynapGraph: A Lightweight Adaptive Spatio-Temporal GNN for Robust EEG Emotion Recognition”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  2. Uday Kiran, G., Srilakshmi, V., Padmini, G., Anvith Reddy, G., Sai Shivani, B., “VISAGE-X: Interpretable Graph-Based and Explainable Scene Reasoning for Vision-Language Understanding”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  3. Uday Kiran, G., Diana, P.H., Bineesha, P., Paswan, S., Veerasekharreddy, B.V.S., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  4. Lavanya, B., Uday Kiran, G., Srilakshmi, V., Laukya, G., Karthik Reddy, L., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  5. Srilakshmi, V., Varun Reddy, V., Uday Kiran, G., Snigdha, K.S., Josiah, D.C., “Enhancing Aspect-Based Sentiment Analysis Through Knowledge Graphs and Multiview Representation Learning”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  6. Priyanka, B., Uday Kiran, G., Sanapala, S., Karthik, V., Gopika, V.S., “Hybrid Motion Synthesis for Speech-to-Sign Translation Using Deterministic Linguistic Parsing and Gated Recurrent Units”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  7. Veerasekharreddy, B.V.S., Thatha, V.N., Bellamkonda, S., Uday Kiran, G., Sanapala, S., “A hybrid ensemble classification model for predicting heart diseases”, AIP Conference Proceedings, Vol 3342, No 1, pp. 030039, 2025.
  8. Srilakshmi, V., Uday Kiran, G., Moulika, B., Laukya, G., Ruthick, M., “Integrating NAS for Human Pose Estimation”, Procedia Computer Science, Vol 252, pp. 182-191, 2025.
  9. Uday Kiran, G., Srilakshmi, V., Padmini, G., Ramana, V.B., Reddy, P.G., “Neural Architecture Search-Driven Optimization of Deep Learning Models for Drug Response Prediction”, Procedia Computer Science, Vol 252, pp. 172-181, 2025.
  10. Uday Kiran, G., Chaitanya, K., Sreenidhi, G., Prabhakar Nathan Raju, K., Prashanth, B., “AI-Powered Allergen Prediction Using Protein Language Model”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  11. Uday Kiran, G., Priyanka, B., Nikhil, N., Jethin, P., Priya, N.S., “Image Super-Resolution Using ESRGAN Model”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  12. Srilakshmi, V., Uday Kiran, G., Akhila, P., Abhinav Reddy, K., Varun Reddy, E., “Automated Retinal Image Analysis for Early Detection of Eye Disorders”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  13. Uday Kiran, G., Srilakshmi, V., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Optimized Shared Embedding Space For Seamless Cross-Modal Search”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
  14. Srilakshmi, V., Uday Kiran, G., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Augmented Multimodal Sentiment Detection Using Embedding Systems”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
  15. Uday Kiran, G., Srilakshmi, V., Mounika, M., Padmini, G., Dubey, S., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques”, Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications (Inc4 2025), 2025.
  16. Srilakshmi, V., Uday Kiran, G., Priyanka, B., Smarandas, K., Prashanth, C.S.R.K., “Stack-Based Ensembles for Robust Neural Image Captioning”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  17. Uday Kiran, G., Srilakshmi, V., Harshith, K.S., Mokshith, L.V.S., Sowmya, A., “Learning Correspondences Across Domains for Exemplar-Based Image Translation”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  18. Uday Kiran, G., Srilakshmi, V., Padmini, G., Priyanka, B., Bhagya Laxmi, H., “One-Shot Stylization for Transformative Facial Art using StyloMorph”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  19. Uday Kiran, G., Srilakshmi, V., Moulika, B., Laukya, G., Ruthick, M., “Unlearning”, 4th International Conference on Sustainable Expert Systems (ICSES 2024) – Proceedings, pp. 1115-1121, 2024.
  20. Changala, R., Lakshmi, H.N., Krishna, G.V., Uday Kiran, G., Thatha, V.N., “Sentiment analysis Optimization using Hybrid Machine Learning Techniques”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
  21. Uday Kiran, G., Gandi, R., Lavanya, M., Rao, C.U., Veerasekharreddy, B.V.S., “Deep Learning based Abstractive text Summarization: A Survey”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
  22. Uday Kiran, G., Gajula, S., Sravanthi, A., Veditha, T., Reddy, D.V., “Inception V3 Model-Based Approach for Detecting Defects on Steel Surfaces”, 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT 2024), pp. 331-335, 2024.
  23. Uday Kiran, G., Srilakshmi, V., Deepika, R., Vamsi, R.M., Srivarsha, T., “Intelligence for Image Classification”, Procedia Computer Science, Vol 230, pp. 669-678, 2023.
  24. Srilakshmi, V., Uday Kiran, G., Mounika, M., Akhil, V.N.S., Manasa, M., “Evolving Convolutional Neural Networks with Meta-Heuristics for Transfer Learning in Computer Vision”, Procedia Computer Science, Vol 230, pp. 658-668, 2023.
  25. Veerasekharreddy, B.V.S., Thatha, V.N., Uday Kiran, G., Raja Sekhar Reddy, N.V., Raju, Y.R., “Diet Recommendation System for Human Health Using Machine Learning”, 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS 2023) – Proceedings, 2023.
  26. Kusumasri, B., Srilakshmi, V., Satyavada, S., Uday Kiran, G., “Crop Recommendation Application using Ensemble Classifiers”, 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) – Proceedings, 2023.
  27. Joy, S., Savadatti, M.B., Mukesh, T.B., Ahmed, M.M., Uday Kiran, G., “Real Time Road Lane Detection using Computer Vision Techniques in Python”, International Conference on Automation, Computing and Renewable Systems (ICACRS 2022) – Proceedings, pp. 1228-1232, 2022.
  28. Srilakshmi, V., Uday Kiran, G., Guntupalli, Y., Gayathri, C.N., Raju, A.S., “Automatic Visual Inspection – Defects Detection using CNN”, 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2022) – Proceedings, pp. 584-589, 2022.
  29. Uday Kiran, G., Srilakshmi, V., Nandhini, C.H., Gagan Chandra, B., Yamini Keerthi, K., “Estimating 3D Human Pose using Point Based Pose Estimation and Single Stage Method”, ICAN 2022 – 3rd International Conference on Computing, Analytics and Networks – Proceedings, 2022.
  30. Uday Kiran, G., Srilakshmi, V., Hussain, M.M., “Deep learning Support Vector Machine Application Management for Prediction Binding Elements”, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE 2022), pp. 2493-2497, 2022.

Journals:

  1. Nagabotu, V., Sana, P. K. R., Bhavani, B. L., & Srikanth, D., “Adaptive feature fusion network for fetal head segmentation in ultrasound images,” IAES International Journal of Artificial Intelligence (IJ-AI), vol. 15, no. 1, pp. 841–851, Feb. 2026, doi: 10.11591/ijai.v15.i1.pp841-851.
  2. S. P. Reddy, G. Pradeep Reddy and A. Kumar, “Sleep Stage Classification Using Variational Mode Decomposition and Wrapper-Based Feature Selection From the Single Channel EEG,” in IEEE Access, vol. 13, pp. 117224-117238, 2025, doi: 10.1109/ACCESS.2025.3585963(SCI)
  3. S. Pavan Kumar Reddy and J. Harikiran,”Cast Shadow Angle Detection in Morphological Aerial Images using Faster R-CNN,” Treatment du Signal, Vol. 39, No. 4, pp. 1313-1321. https://doi.org/10.18280/ts.390424. (SCI).
  4. S. Pavan Kumar Reddy and Gokul Nath Kandasamy, “Cusp Pixel Labelling Model for Objects Outline Using R-CNN,” in IEEE Access, vol. 10, pp. 8883-8890, 2022, (doi: 10.1109/ACCESS.2021.3139896) (SCI).
  5. Pavan Kumar Reddy Sana, B. Lakshmi Bhavani, Donapati Srikanth, ” Adaptive feature fusion network for fetal head segmentation in ultrasound images ,” in IAES International Journal of Artificial Intelligence, vol. 15,issue 1 DoI: 10.11591/ijai.v15.i1.pp841-851(SCOPUS).
  6. S Pavankumar Reddy,Nagavarapu, Sateesh “An experimental research on outsourced data science for file seeking”,, 2019, 8(6 Special Issue 4), pp. 629–634.(SCOPUS)
  7. Mandru, Deenababu,Suhasini, Nittala Swapna, S Pavankumar Reddy “Data summarization based on multiple attributes in unreliable categorical data” International Journal of Recent Technology and Engineering,2019, 8(2 Special Issue 11), pp.2430–2434
  8. Reddy, Sana Pavan Kumar, Jonnadula Harikiran, and Bolem Sai Chandana. “Deep CNN Based Multi Object Detection And Tracking In Video Frames With Mean Distributed Feature Set.” Procedia Computer Science 235 (2024): 723-734.(SCOPUS)
  9. S. Pavan Kumar Reddy, V Manikyala Rao” A Survey on Deep Learning For Hand Written Recognition by Digit & Character”, an International Journal of Creative Research Thoughts (IJCRT)  ISSN: 2320-2882, Volume-8, Issue- 6, JUNE  2020
  10. S. Pavan Kumar Reddy ” An Experimental Research on Outsourced Data Science for File Seeking”, an International Journal of Innovative Technology and Exploring Engineering (IJITEE)  ISSN: 2278-3075, Volume-8, Issue- 6S4, April 2019
  11. S. Pavan Kumar Reddy” An Experimental Detail Analysis of Cloud Computing For Security & Privacy Issues”, an International Journal of Advanced Science and Technology (IJAST) ISSN:2005-4238E-ISSN:2207-6360 Vol-127-June-2019
  12. S. Pavan Kumar Reddy” Investigation Outcomes of IR Protocol Using Data Mining In Cloud”, an International Journal of Research in Advent Technology, Special Issue, NCRCEST 2019  E-ISSN: 2321-9637
  13. S. Pavan Kumar Reddy” Cloude: Data Mining Algorithm on Massive Datasets Through Hadoop”, an International Journal of Advanced in Management, Technology and Engineering Sciences Volume 8, Issue III, MARCH/2018 with ISSN NO : 2249-7455”
  14. S. Pavan Kumar Reddy, G.Sireesha and  U.Seshadri ” The Security Issues of Cloud Computing Over Normal & IT Sector”, an International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
  15. S. Pavan Kumar Reddy,M. D. Sirajul Huque, C.Surekha,Vidhisha Yadav ” The Common    Difference Between MIMO With Other Antennas”, CSCV01I1, August 2012 (https://doi.org/10.48550/arXiv.1207.0665)
  16. S. Pavan Kumar Reddy, Y. Ganesh Kumar Reddy, K. Chandra Mouli, U. Seshadri“Underwater Efficient Energy Communication in Wireless Sensor Networks”, (https://doi.org/10.48550/arXiv.1211.1451)
  17. S. Pavan Kumar Reddy, U Seshadri ” A Bootstrap Aggregating Technique on Link-Based Cluster Ensemble Approach for Categorical Data Clustering”, an International Journal of Computers & Technology,Vol 10, No 8 (https://doi.org/10.24297/ijct.v10i8.1468)

Conferences:

  1. S. P. K. Reddy, N.Bhargavi, A.Maheedhar, Ch.Mounika and K.Likith, “Explainable Brain Tumor Classification from MRI Images using Transfer Learning and Grad-CAM,” 2026 7th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, 2026, pp. 1548-1554, doi: 10.1109/ICICV68925.2026.11554639.
  2. S. P. K. Reddy, M. Pasunuri, S. Malipatel and P. S. Nakka, “Boosted Inception Shared-Backbone using KD for Fine-Grained Animal Image Classification,” 2026 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India, 2026, pp. 171-176, doi: 10.1109/ICESIC67389.2026.11496439.
  3. S. P. K. Reddy, K. E. Priya, A. Chouhan and C. Mounika, “AI-Powered Clinical Decision Support System for Chronic Kidney Disease Staging and Dialysis Surveillance with Role-Specific Functions and Embedded Chatbot,” 2026 Fourth International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2026, pp. 1807-1812, doi: 10.1109/ICAISS68683.2026.11525760.
  4. J. Sunil Kumar Kumar, Chanumolu, Kiran Kumar, Sana Pavankumar Reddy”COVID-19 Detection Using Enhanced BiLSTM from Paper Based ECG Signals”Lecture Notes in Networks and Systems,2026, 1770 LNNS, pp. 267–278
  5. Reddy S. P.K., Aishu N., Harshavardhan T., Vamshi N.” Unified Representation for Image Generation and Segmentation” 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 volume 2 page no: 6740- 6750.
  6. Reddy S. P.K., Reddy M.H., Yashasree G., Abhishek R.” Real-Time Hate Speech Detection with Robust Dis-tilBERT-SVM” 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2025 volume 2 page no: 6993- 7000.
  7. S.Pavan Kumar Reddy, C Mounika, B Geervani, A Meghana Tomato Plant Leaf Diseases Classification usingEnhanced LSTM and BiLSTM,2025 International Conference on Intelligent Computing and Knowledge Extraction, Bangalore, India, 2025, DOI: 10.1109/ICICKE65317.2025.11136687.
  8. S.Pavan Kumar Reddy, M. Mounika and U. Nagavelli Edge Computing and Federated Learning:Enhancing Privacy and Efficiency in Cloud-Based Machine Learning Systems,2025International Conference on Next Generation Communication Information Processing (INCIP),Bangalore, India, 2025, pp. 339-345, doi: 10.1109/INCIP64058.2025.11020061
  9. S.pavan kumar Reddy, Mrs.M.Mounika,J. Harikiran and B. Sai Chandana Design of An Improved Model for Pothole Detection Using Multiple Scale CNNs and Deep Neural Decision Forest Ensemble Process, 2024 2nd International Conference on Signal Processing, Communication, Powerand Embedded System (SCOPES), Paralakhemundi Campus, Centurion University of Technology and Management, Odisha., India, 2024, pp. 1-6, doi: 10.1109/SCOPES64467.2024.10991311.
  10. s pavan kumar Reddy, U. Nagavelli, Y. S. Kiran, C. S. Kondoju, S. Bushmoni and A. Yashaswi, Deep Learning for Zero-Day Threat Detection and Mitigation, 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS), Bengaluru, India, 2024, pp. 1362-1368, doi:10.1109/ICICNIS64247.2024.10823270.
  11. S. P. Kumar Reddy, N. Sreevani, R. V, S. Babu, N. Singh and A. Kareem, Combining the AIML Model with Acoustic Signal to Evaluate the Bowel Sound, 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES), Lucknow, India, 2024, pp. 1-6, doi: 10.1109/IC3TES62412.2024.10877599.
  12. Nagavelli, Mrs Umarani, Niladri Sekhar Dey, and S. Pavan Kumar Reddy. “Energy-Efficiency Optimization in IoT Networks: Algorithms, Techniques, and Case Studies.” AIDE-2023 and PCES-2023 (2023): 414.
  13. Mounika, M., Reddy, S. P. K., Abhinaya, A., & Akshay, G. (2024, June). Quantum Machine Learning: Bridging the Gap Between Theory and Practice. In International Conference on Intelligent Computing and Big Data Analytics (pp. 89-105). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-74682-6_7
  14. Reddy, Sana Pavan Kumar, et al. Quantum-Inspired Machine Learning Models for Cyber Threat Intelligence. International Conference on Intelligent Computing and Big Data Analytics. Cham: Springer Nature Switzerland, 2024. https://link.springer.com/chapter/10.1007/978-3-031-74682-6_8
  15. Dr S.Pavan Kumar Reddy,Jakkula Suryateja,K.Shriya BushanAllapu ManaswiniB.Venkata Pavan Sai “CG-FER : A Hybrid CNN and GAN based Facial Expression Recognition”,International Conference on Automation, Computing and Renewable Systems [ICACRS 2024].
  16. Dr sana pavan kumar Reddy, Mrs.M.Mounika,J. Harikiran and B. Sai Chandana “Design of An  Improved Model for Pothole Detection Using Multiple Scale CNNs and Deep Neural Decision Forest Ensemble Process” , International Conference on Signal Processing, Communication, Power and Embedded Systems 19th – 21st December 2024 [SCOPES-2024].
  17. Dr sana pavan kumar Reddy,Mrs.M.Mounika,Mrs.Umarani Nagavelli “Edge Computing and Federated Learning: Enhancing Privacy and Efficiency in Cloud-Based Machine Learning Systems” [INCIP-2024].
  18. N. S. Dey, S. P. K. Reddy and L. G, “Serverless Computing: Architectural Paradigms, Challenges, and Future Directions in Cloud Technology,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 406-414, doi: 10.1109/I-SMAC58438.2023.10290253.
  19. S.Pavan Kumar Reddy, J.Harikiran “Deep CNN Based Multi Object Detection and Tracking In Video Frames With Mean Distributed Feature Set”. 2nd International conference on Machine Learning and Data Engineering (ICMLDE 2023).
  20. J. Harikiran, S. P. Kumar Reddy and B. S. Chandana, “Detection of Monkeypox Using Modified ResNet50,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 317-322, doi: 10.1109/ICIRCA57980.2023.10220681.
  21. S. P. Kumar Reddy, J. Harikiran and B. S. Chandana, “Multi Object Detection and Shadow Identification in Images: State-of-Art,” 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2022, pp. 1640-1650, doi: 10.1109/ICIRCA54612.2022.9985653.
  22. S. Pavan Kumar Reddy” Data Summarization Based on Multiple Attributes in Unreliable Categorical Data”, an International Conference on Computing Communication And Electrical Technologies (DOI:10.35940/ijrte.B1282.0982S1119) held on Aug 29-30th 2019.
  23. S. Pavan Kumar Reddy “CLOUDE: Huge Datasets Using HADOOP over Data mining”, an national conference on Innovations In Computation Communication and Cybernetics (I3C 2018) on Feb 2018 in BITCON-2018 Drug.

Journals:

  1. Bhupesh Deka, Dipwanita Debnath, G Shyama Chandra Prasad3, Vanam Gopinath, Pavan Kumar Varma Kothapalli, Ramireddy Navatejareddy, Sayanti Chatterjee.” Bio-inspired Dual-scale Attention Fusion Network for Explainable Cardiovascular Risk Profiling via Fundus Imaging”, International Journal of Intelligent Engineering & Systems,19, No.8, 2026, June 13, 2026, DOI: 10.22266/ijies2026.0831.21
  2. Sayanti Chatterjee, Archana Kalidindi, S. Rao Chintalapudi, Dipanwita Debnath, Sasmita Tripathy, Srikanth Lukka, Jajala Nikitha, and Bhupesh Deka. “Transformer Based Explainable AI framework: A Case Study on Colorectal Cancer Diagnosis.” International Journal of Intelligent Engineering & Systems 19, no. 5 (2026): 404.
  3. Aik Janbhasha, Venkateswarlu Sunkari, Dipanwita Debnath, Venkat Rao Pasupuleti, Aketi Naresh, Lakshmanarao Talapakula, Jutu Gopaiah, Rohtih Bala Jaswanth B8 Integrating Adversarial Autoencoders With Gated Recurrent Units To Identify Anomalies In Ecg Signals, Journal of Theoretical and Applied Information Technology, 15th March 2026. Vol.104. No.5, ISSN: 1992-8645, E-ISSN: 1817-3195.
  4. Sayanti Chatterjee, Bhupesh Deka, Dipanwita Debnath, Sasmita Tripathy, and Bindu Agarwalla. “Robust Fault Detection Of A Hybrid Control System Using Derivative Free Estimator And Reinforcement Learning Method.” Journal of Electronics, Electromedical Engineering, and Medical Informatics 7, no. 1 (2025): 231-242.
  5. Ranjita Das, Dipanwita Debnath, Partha Pakray, and Naga Chaitanya Kumar. “A binary grey wolf optimizer to solve the scientific document summarization problem.” Multimedia Tools and Applications (2023): 1-23.
  6. Dipanwita Debnath, Ranjita Das, and Partha Pakray, ”Extractive single document summarization using multi-objective modified cat swarm optimization approach: ESDS-MCSO.” Neural Computing and Applications (2021): 1-16.(published)[Science Citation Index Expanded (SCIE) indexed journal with Impact Factor: 5.130]
  7. Dipanwita Debnath, Ranjita Das, and Partha Pakray, ”Single document text Summarization addressed with a cat swarm optimization approach.” Applied Intelligence (2022): 1-20.(published) [Science Citation Index indexed journal with Impact Factor: 5.019]
  8. Dipanwita Debnath, Ranjita Das, Partha Pakray, and Ruzina Laskar, ”Extractive single-document summarization using adaptive binary constrained multi-objective differential evaluation.” Innovations in Systems and Software Engineering (2022): 1-13.(published) [Clarivate Analytics -Emerging Sources Citation Index (ESCI) and SCOPUS Indexed Journal]

Conferences:

  1. Cherukuvada, Srikanth, Dipanwita Debnath, Sachin Mahesh Nalluri, Jethin Pokala, and Hansika Sudula. “Ensemble Deep Learning Framework for Automated Diabetic Retinopathy Detection using EfficientNet Models.” In 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), pp. 1-6. IEEE, 2026.
  2. Debnath, Dipanwita, Amika Achom, Ranjita Das, Partha Pakray, and Sandeep Kumar Dash. “Optimization-Driven Text Summarization for Legal Documents: A.” In Proceedings of International Conference on Data, Electronics and Computing: ICDEC 2023, Volume 1, vol. 1102, p. 143. Springer Nature, 2025.
  3. Awasthi, Ganesh Kamalnarayan, Dipanwita Debnath, Roshna Ravindran, Srikanth Cherukuvada, and J. Raja. “Towards Digital Forensics 4.0: A Multilevel Digital Forensics Framework for Internet of Things (IoT) Devices.” In International Conference on Microelectronics, Electromagnetics and Telecommunication, pp. 579-593. Cham: Springer Nature Switzerland, 2025.
  4. Ch N. Narasimha Rao, Dipanwita Debnath, Gaurav Gautam, and Allam Balaram. “Improved Energy Efficiency and Power Quality Monitoring in Smart Grid using Signal Processing Techniques.” (2024).
  5. L. M. Prasad, Venkateswarlu Sunkari, and Dipanwita Debnath. “Detection of Crop Yield Prediction Using Multi Sensor Fusion Approach with Resolution Satellite Approach Using Deep Learning with Computer Vision.” (2024).
  6. Debnath, Dipanwita, Ranjita Das, and Shaik Rafi. “Sentiment-Based Abstractive Text Summarization Using Attention Oriented LSTM Model.” Intelligent Data Engineering and Analytics. Springer, Singapore, 2022. 199-208.
  7. Debnath, Dipanwita, and Ranjita Das. “Automatic Citation Contextualization Based Scientific Document Summarization Using Multi-objective Differential Evolution.” International Conference on Emerging Applications of Information Technology. Springer, Singapore, 2021.
  8. Debnath, Dipanwita, Ranjita Das, and Partha Pakray. “Extractive Single Document Summarization Using an Archive-Based Micro Genetic-2.” 2020 7th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2020.
  9. Dipanwita Debnath, Amika Achom, and Partha Pakray. NLP-NITMZ@ CLScisumm-18. In: Proceedings of the 3nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL2018).SIGIR, Ann Arbour, Michigan.
  10. Debnath, Dipanwita, Suman Deb, and Nirmalya Kar. “An advanced image encryption standard providing dual security: Encryption using hill cipher & RGB image steganography.” 2015 International Conference on Computational Intelligence and Networks. IEEE, 2015.
  11. Debnath, Dipanwita, Partha Pakray, and Alexander Gelbukh. “An Abstractive Text Summarization using Recurrent Neural Network”, CICLING

Journals:

  1. R. Kulkarni, D. Barani, B. VeeraSekharreddy, and L. Guganathan, “ Blockchain Cybersecurity Framework for 5G/6G Industrial IoT: Enhancing Industrial and Healthcare Applications With Neural and Graph Networks,” International Journal of Communication Systems 39, no. 9 (2026): e70503, https://doi.org/10.1002/dac.70503.(SCI Q2)
  2. Bhumireddypalli Veerasekharreddy, P. Chinniah, P. Varaprasada Rao, Krishna Prakash Arunachalam, Efficient medical image encryption and attack detection using hyperchaotic fibonacci polynomial convolutional neural network in IoT healthcare networks, Neurocomputing, Volume 656, 2025, 131537, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2025.131537. (SCI Q1)
  3. VeeraSekharReddy, B., Rao, K.S. & Koppula, N. “An Attention Based Bi-LSTM DenseNet Model for Named Entity Recognition in English Texts”, in Wireless Personal Communications 130, 1435–1448 (2023). https://doi.org/10.1007/s11277-023-10339-x (SCI Q1)
  4. Bhumireddypalli, VSR, Koppula, SR, Koppula, N. “Enhanced conditional random field-long short-term memory for name entity recognition in English texts”, in Concurrency Computation: Practice and Experience. 2023; 35(9):e7640. doi: 10.1002/cpe.7640 (SCI Q1)
  5. Neerumalla, A. S. Hanuman, B. V. Reddy, and K. Saikumar, “ACDPSNet: Adaptive Cross Domain Polarity Aspect Level Learning Scalable Computing Model for Sentiment Classification and Quantification,” Scalable Computing: Practice and Experience, vol. 26, no. 4, pp. 1671–1683, Jun. 2025. (Scopus)
  6. B. VeeraSekharReddy, K. S. Rao and N. Koppula “A Semi Supervised Approach For Named Entity Recognition Using Label Propagation Along With Conditional Random Field”,  Journal For Basic Sciences, 23 (4), 1420-1427. (Scopus)

Conferences:

  1. Koppula, K. S. Rao and B. VeeraSekharReddy, “Word Sense Disambiguation Using Context Dependent Methods”, 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2021, pp. 1582-1590, doi: 10.1109/ICOEI51242.2021.9452823.
  2. VeeraSekharReddy, K. S. Rao and N. Koppula, “Parts of Speech Tagging using Conditional Random Field with Long Short Term Memory for English texts,” 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-3, doi: 10.1109/ICCCNT54827.2022.9984380.
  3. VeeraSekharReddy, K. S. Rao and N. Koppula, “Named Entity Recognition using CRF with Active Learning Algorithm in English Texts,” 2022 6th International Conference on Electronics, Communication and Aerospace Technology, Coimbatore, India, 2022, pp. 1041-1044, doi: 10.1109/ICECA55336.2022.10009592.
  4. Philip, V. N. Thatha, M. Harshini, I. V. S. L. Haritha, S. Patil and B. Veerasekhar Reddy, “Classification of Covid-19 Vaccines tweets using Naïve Bayes Classification,” 2022 6th International Conference on Electronics, Communication and Aerospace Technology, Coimbatore, India, 2022, pp. 1384-1387, doi: 10.1109/ICECA55336.2022.10009511.
  5. B. VeerasekharReddy, S. Sarath, J. Philip, U. S. Reddy, L. Naresh and K. Tejaswini, “Water Quality Monitoring System using IoT and Cloud,” 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2023, pp. 1036-1042, doi: 10.1109/ICSCSS57650.2023.10169212.
  6. Philip, B. VeerasekharReddy, M. Harshini, I. V. S. L. Haritha, S. Patil and S. K. Shareef, “A Comparative Study of Text Classification using Selective Machine Learning Algorithms,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 482-484, doi: 10.1109/ICICCS56967.2023.10142474.
  7. Koppula Srinivas Rao, Neeraja Koppula, B. Veera Sekhar Reddy; “Real time malicious bot detection for Twitter”. AIP Conference Proceedings 22 May 2023; 2492 (1): 030015. https://doi.org/10.1063/5.0113369
  8. B. Veerasekhar Reddy, K. Srinivas Rao, K. Neeraja; “Named entity recognition on different languages: A survey”. AIP Conference Proceedings 22 May 2023; 2492 (1): 030043. https://doi.org/10.1063/5.0113210
  9. Koppula Srinivas Rao, Neeraja Koppula, B. Veera Sekhar Reddy; “Certificate verification using blockchain”. AIP Conference Proceedings 22 May 2023; 2492 (1): 030068. https://doi.org/10.1063/5.0113374
  10. VN. Thatha, B. VeerasekharReddy, D. Aravind, S. Meghana, N. Sindhu and V. S. Sathvik, “Fuzzy WordNet-Based Document Representation and Clustering using Regularized K-Means,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 953-958, doi: 10.1109/ICIRCA57980.2023.10220868
  11. B. VeerasekharReddy, V. N. Thatha, A. Maanasa, S. S. Gadupudi, S. K. Japala and L. H. Goud, “An ANPR-Based Automatic Toll Tax Collection System Using Camera,” 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India, 2023, pp. 133-140, doi: 10.1109/ICPCSN58827.2023.00028.
  12. B. V. Reddy, T. V. Nagaraju, K. Laya, S. Fatima, T. Charan and C. Vagdevi, “Skin Disease Classification Using Machine Learning,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-10, doi: 10.1109/ICCCNT56998.2023.10306716.
  13. P Deepak, B. Veerasekharreddy,Venkata Ramana Banka, “Employing Data Transfer In Deep Learning Techniques For Automated Lung Cancer Detection”, National Conference On Revolutionary Applications Of Nutraceuticals and Functional Foods as Next-generation Metabolites – A Biotechnological Approach via Sustainable Agriculture, ISBN: 978-93-5527-772-5.
  14. Ch.Ithvika, B. Veerasekharreddy, J. Sunil Kumar,” A Novel Algorithm For Machine Learning-Enhanced Image Processing For Liver Cancer Prediction”, National Conference On Revolutionary Applications Of Nutraceuticals and Functional Foods as Next-generation Metabolites – A Biotechnological Approach via Sustainable Agriculture, ISBN: 978-93-5527-772-5.
  15. Dr Ajmeera Kiran, B. Veerasekharreddy, Dr.Vempaty prashanthi, “Assessment Of Different Machine Learning Methods For The Identification Of Bone Cancer In Mri Scan” National Conference On Revolutionary Applications Of Nutraceuticals and Functional Foods as Next-generation Metabolites – A Biotechnological Approach via Sustainable Agriculture, ISBN: 978-93-5527-772-5.
  16. B. VeerasekharReddy, V. N. Thatha, N. S. Biyyapu, J. S. V. G. Krishna, D. A. Sundaram and D. Sandeep, “Named Entity Recognition on Medical text by using Deep Nueral Networks,” 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/GCAT59970.2023.10353439.
  17. B. VeerasekharReddy, V. N. Thatha, G. U. Kiran, S. K. Shareef, N. V. RajaSekharReddy and Y. R. Raju, “Diet Recommendation System for Human Health Using Machine Learning,” 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-5, doi: 10.1109/CSITSS60515.2023.10334162.
  18. VN. Thatha, B. VeerasekharReddy, G. VenuGopal, K. Ashok, S. Maddu and S. V, “An Enhanced Support Vector Machine Based Pattern Classification Method for Text Classification in English Texts,” 2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/CSITSS60515.2023.10334170.
  19. VN. Thatha, B. VeeraSekharreddy, B. H. Onyx, P. S. Reddy, Y. Manisha and V. D. Chowdary, “A Machine Learning Model for Timely Autism Spectrum Disorder Detection,” 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India, 2024, pp. 1-6, doi: 10.1109/ISCS61804.2024.10581067.
  20. B. V. Reddy, V. N. Thatha, G. Bhumika, A. Sanjana, R. V. Sai and V. Jashwanth, “Access Control Technique for data Storage and sharing in Cloud Computing,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1436-1441, doi: 10.1109/ICACCS60874.2024.10716876.
  21. Sandeep, B. V. Reddy, M. Revathi, G. D. Prasanna, G. Vaishali and M. H. Priyanka Reddy, “Hierarchical Attribute-Based Encryption: Achieving a Harmony Between Safeguarding Privacy and Ensuring Accountability,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2024, pp. 1448-1453, doi: 10.1109/ICACCS60874.2024.10717160.
  22. G. U. Kiran, R. Gandi, M. Lavanya, G. B. Desale, C. U. Rao and B. V. Reddy, “Deep Learning Based Abstractive Text Summarization: A Survey,” 2024 Parul International Conference on Engineering and Technology (PICET), Vadodara, India, 2024, pp. 1-5, doi: 10.1109/PICET60765.2024.10716176.
  23. Gupta, R. T. Hemanth, G. Lalitha, M. Gupta, B. V. Reddy and R. Emad, “Application of Swarm Intelligence Techniques for Optimization in Speech-to-Text Translation Systems,” 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), Gautam Buddha Nagar, India, 2024, pp. 1140-1145, doi: 10.1109/IC3SE62002.2024.10593175.
  24. Philip, M. Harshini, S. Patil, S. K. Shareef, B. V. Reddy and S. Sridevi, “Deep Learning for Web Intrusion Detection,” 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2024, pp. 580-585, doi: 10.1109/ICSCSS60660.2024.10624888.
  25. Balaram, B. V. Reddy, T. Dedeepya, B. Kalva, N. Budige and K. Katravath, “Deep Sentiment Analysis Methods using Machine Learning for Extraction of Brand Value for Various Consumer Products,” 2024 International BIT Conference (BITCON), Dhanbad, India, 2024, pp. 1-4, doi: 10.1109/BITCON63716.2024.10985037.
  26. Manjunatha, G. Nijhawan, B. V. Reddy, R. Najm, M. Upadhya and K. V. S. L. Harika, “Detecting Deceptive Narratives in Social Media Using Advanced Natural Language and Signal Processing Techniques,” 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 795-800, doi: 10.1109/IC363308.2025.10957242.
  27. B. V. Reddy et al., “Adaptive Evolutionary Neural Networks for Resilient Anomaly Detection in Decentralized Swarm Robotic Communication Systems,” 2025 International Conference on Intelligent Control, Computing and Communications (IC3), Mathura, India, 2025, pp. 573-578, doi: 10.1109/IC363308.2025.10956475.
  28. V. N. Thatha, B. VeeraSekhsrReddy, G. Dastageer, A. Ahmad, M. Nikitha and S. Akshitha, “An Integrated Transfer Learning Model for American Sign Language Recognition,” 2025 International Conference on Intelligent Computing and Control Systems (ICICCS), Erode, India, 2025, pp. 936-941, doi: 10.1109/ICICCS65191.2025.10985419.
  29. VN. Thatha, B. VeeraSekharReddy, K. Ryveshma, G. S. Karthik, G. Shiva and C. Vikram, “An Enhanced CNN-RNN based Deep Learning Approach for Image Captioning,” 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2025, pp. 337-340, doi: 10.1109/ICAISS61471.2025.11041703.
  30. B. VeeraSekharReddy, V. N. Thatha, R. B. K. Reddy, R. S. Kumar, K. K. Reddy and H. P. Kumar, “Enhancing Intra-Vehicle Network Security using Intelligent Data-Driven Models,” 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2025, pp. 508-511, doi: 10.1109/ICAISS61471.2025.11041759.
  31. B. VeeraSekharReddy, V. N. Thatha, M. Vaishnavi, C. K. Priya, G. Shiva Rohan and J. Kishore, “An Enhanced Distributed DoS Attack Classification in Digital Transactions using Hybrid Machine Learning Algorithms,” 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2025, pp. 585-589, doi: 10.1109/ICAISS61471.2025.11042181.
  32. N. Thatha, B. V. Reddy, N. Akshitha, M. Lahari, M. Kavya and G. C. Kona, “Enhancing Financial Security: Machine Learning with Block Chain for Fraud Detection,” 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE), Virudhunagar, India, 2025, pp. 1-5, doi: 10.1109/ICCRTEE64519.2025.11052948.
  33. NV. R. Reddy, B. VeeraSekharReddy, J. P. Kumar, S. K. Kalavari, S. Samayamantri and R. K. Dubey, “ForeStock: Smart Sales Quantity Forecaster for Warehouse Stock Management,” 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), Tirunelveli, India, 2025, pp. 448-452, doi: 10.1109/ICICV64824.2025.11085923.
  34. VS. Bhumireddypalli, V. N. Thatha, S. Bellamkonda, U. K. Goru, and S. R. Sanapala, “A hybrid ensemble classification model for predicting heart diseases,” in AIP Conference Proceedings, vol. 3342, no. 1, pp. 030039-1–030039-7, AIP Publishing, Sept. 2025, doi: 10.1063/5.0296330.
  35. N. Thatha, V. S. Bhumireddypalli, S. S. Nandeti, and P. K. Jakkulla, “Hybrid intrusion detection system: Integrating particle swarm optimization and Bayesian neural networks,” in AIP Conference Proceedings, vol. 3342, no. 1, pp. 030040-1–030040-8, AIP Publishing, Sept. 2025, doi: 10.1063/5.0296367.
  36. B. VeerasekharReddy, V. N. Thatha, A. Rishitha, J. S. S. V. Prasad, C. Bhavya and J. Manideepak, “Deep Learning-Driven Skin Disease Detection and Classification System for Enhanced Medical Diagnosis,” 2025 1st International Conference on Advancement in Futuristic Technologies (ICAFT), Belagavi, India, 2025, pp. 1-7, doi: 10.1109/ICAFT66710.2025.11453014.
  37. V. N. Thatha, B. V. Reddy, M. K. Venkat, P. P. K. Reddy, A. B. Reddy and S. N. Reddy, “Machine Learning and Transfer Learning Approaches for Handling Known and Zero Day Cyber Attacks in Intrusion Detection System,” 2025 4th International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2025, pp. 891-896, doi: 10.1109/ICACRS67045.2025.11324242.
  38. J. Philip, B. VeeraSekharReddy, N. K. Reddy, K. Maroju, G. S. Jaideep and J. Janakiram, “Safe Descent: A Machine Learning Approach for Predicting Hard Landings in Aircraft Operations,” 2025 4th International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2025, pp. 1812-1818, doi: 10.1109/ICACRS67045.2025.11324171.
  39. A. Balaram, B. V. Reddy, K. L. Sree, V. P. Kumar, D. V. Kumar and K. V. K. Reddy, “An Improved LSTM-CRF Based Method for Sentiment Analysis Through Knowledge Based Integration,” 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom), Delhi, India, 2025, pp. 1-6, doi: 10.23919/INDIACom66777.2025.11115553.
  40. B. Veera Sekhar Reddy, J. Pradeep Kumar, J. Prashanth, P. S. Chowdary, J. Nikhitha and K. J. Rao, “AI-Powered Lung Cancer Detection, Staging, and Prognosis from CT Scans,” 2026 IEEE 1st International Conference on Intelligent Technologies for a Sustainable and Inclusive Future (ICITSIF), Indore, India, 2026, pp. 1218-1222, doi: 10.1109/ICITSIF69060.2026.11609074.
  41. N. V. R. Reddy, B. VeerasekharReddy, L. L. Reddy, P. D. Reddy, M. S. Ahmed and K. A. Reddy, “Technical Interview Evaluation System using Rule based NLP,” 2026 International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT), Erode, India, 2026, pp. 1058-1064, doi: 10.1109/ICCNCT68477.2026.11590607.
  42. G. U. Kiran, P. H. Diana, P. Bineesha, R. R. Kumar, S. Paswan and B. VeeraSekharReddy, “Universal Motion Representation for Cross-Category and Zero-Shot Image Animation,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-5, doi: 10.1109/I3CTCON68242.2026.11507927.
  43. S. V, V. R. V, U. K. G, B. V. Reddy, K. S. Snigdha and D. C. Josiah, “Enhancing Aspect-Based Sentiment Analysis Through Knowledge Graphs and Multiview Representation Learning,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-5, doi: 10.1109/I3CTCON68242.2026.11507920.
  44. N. V. R. S. Reddy, B. V. Reddy, T. Satvika, P. Meghana, Y. Yeshashwini and K. Badrinath, “Mind Mirror: An AI-Enhanced Digital Companion for Mental Wellness and Self-Care,” 2026 International Conference on Machine Learning and Autonomous Systems (ICMLAS), Bangkok, Thailand, 2026, pp. 377-382, doi: 10.1109/ICMLAS67792.2026.11483641.
  45. V. N. Thatha, B. V. S. Reddy, N. L. Meghana, M. Madhu, M. P. Kumar and G. Jokhana, “Hybrid Machine Learning Approaches for Passive Blind Image Splicing Forensics,” 2026 International Conference on Visual Analytics and Data Visualization (ICVADV), Tirunelveli, India, 2026, pp. 667-672, doi: 10.1109/ICVADV67766.2026.11470339.
  46. B. VeeraSekharReddy, V. N. Thatha, K. Sailatha, R. Ramya, P. A. Varshine and N. K. Swamy, “A Scalable Blockchain-Based Storage Solution for Cloud and Edge Environments,” 2026 8th International Conference on Intelligent Sustainable Systems (ICISS), Tirunelveli, India, 2026, pp. 427-431, doi: 10.1109/ICISS67859.2026.11453980.
  47. V. N. Thatha, B. VeeraSekharReddy, M. Harshavardan, B. Poojitha, K. S. Y. V. Bharadwaj and K. Hemanth, “Spatiotemporal Pattern-based Flexible Machine Learning Framework for Cyberattack Detection in Smart Grid Distribution Systems,” 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC), Pathum Thani, Thailand, 2026, pp. 151-158, doi: 10.1109/ICAUC68182.2026.11441045.
  1. Greedy Heuristics for Team Formation in Social Networks: Optimizing Diversity and Collaboration
  2. Realistic Benchmark Datasets for Team Formation Problem in Social Networks
  3. Team Formation Based on the Degree Distribution of the Social Networks

Journals:

  1. G Uday Kiran, M.Mounika et al. (2023). A Machine Learning Pipeline and Application for Automatic Classification of Clinical Documents. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10), 481–490. https://doi.org/10.17762/ijritcc.v11i10.8512
  2. Published a paper on Predicting The Winter Olympic Medals: Logistic Regression, JASC Volume VII, Issue VI, June/2020, Page No:80

Conferences:

  1. U. Kiran, V. Srilakshmi, G. J. P. Reddy, M. Mounika, B. Divya, and H. B. Laxmi, “SynapGraph: A lightweight adaptive spatio-temporal GNN for robust EEG emotion recognition,” in *2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON)*, 2026, pp. 1–6, doi: 10.1109/I3CTCON68242.2026.11507454.
  2. Venu Gopal, T. Ashwini, M. Mounika, Ch. Lakshmi Vignesh Reddy, Mohd Ghouse, and A. Mahesh Kumar, “A multi-phase reliability-aware framework for human motion-based behavioral evidence analysis,” in *2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON)*, 2026, pp. 1–6, doi: 10.1109/I3CTCON68242.2026.11507181.
  3. U. Kiran, V. Srilakshmi, M. Mounika, B. Lavanya, B. Priyanka, P. Gudavalli, and S. Dubey, “Exploring the impact of neural architecture search on human pose detection techniques,” in *2025 IEEE International Conference on Contemporary Computing and Communications (InC4)*, 2025, pp. 1–5, doi: 10.1109/InC465408.2025.11256496.
  4. Kiran, M. Z. Anwar, U. S. Samyuktha, S. Valaboju, M. Mounika, and M. A. Reddy, “Advanced traffic flow optimization for intelligent transportation system,” in *2025 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)*, 2025, pp. 1–8, doi: 10.1109/ASSIC64892.2025.11158065.
  5. P. K. Reddy, M. Mounika, and U. Nagavelli, “Edge computing and federated learning: Enhancing privacy and efficiency in cloud-based machine learning systems,” in *2025 International Conference on Next Generation Communication & Information Processing (INCIP)*, 2025, pp. 339–345, doi: 10.1109/INCIP64058.2025.11020061.
  6. Srilakshmi, V., Uday Kiran, G., Mounika, M., Akhil, V.N.S., Manasa, M., “Evolving Convolutional Neural Networks with Meta-Heuristics for Transfer Learning in Computer Vision”, Procedia Computer Science, Vol 230, pp. 658-668, 2023.
  7. Sirisha, A. Kiran, M. Arshad and M. M, “Automating ML Models Using MLOPS,” in 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), Bhubaneswar, India, 2024, pp. 1-5, doi: 10.1109/ASSIC60049.2024.10507923.
    keywords: {Adaptation models;Automation;Machine learning algorithms;Computational modeling;Pipelines;Machine learning;Production}
  8. Mounika, S. H. Sharma, S. Harshini, and G. Srilaxmi, “Lung cancer detection using convolutional neural networks and virtual reality,” in *2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS)*, 2024, pp. 1507–1512, doi: 10.1109/ICACRS62842.2024.10841699.
  9. Mounika, S. P. K. Reddy, A. Abhinaya, and G. Akshay, “Quantum machine learning: Bridging the gap between theory and practice,” in *Intelligent Computing and Big Data Analytics*, vol. 2234, *Communications in Computer and Information Science*, pp. 89–105, 2024, doi: 10.1007/978-3-031-74682-6_7.
  10. P. K. Reddy, M. Mounika, J. Harikiran, and B. S. Chandana, “Design of an improved model for pothole detection using multiple scale CNNs and deep neural decision forest ensemble process,” in *2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)*, 2024, pp. 1–6, doi: 10.1109/SCOPES64467.2024.10991311.
  11. Das, N. S. Dey and M. Mounika, “Automated Brain Tumor Segmentation in MRI : An Enhanced Mask Generation Approach,” 2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2023, pp. 891-897, doi: 10.1109/I-SMAC58438.2023.10290265.
  12. Published a paper on Object Detection Using Single shot multibox detector in world Conference, WCSEM.

Journals:

  1. Uday Kiran, G., Srilakshmi, V., Lavanya, B., Priyanka, B., “IntelliForecast: A Machine Learning Framework with Feature Engineering for Efficient Forecasting of Electricity Load”, International Research Journal of Multidisciplinary Technovation, Vol 7, No 5, pp. 14-30, 2025.
  2. Stella Maragatham, R., Baker El-Ebary, Y.A., Srilakshmi, V., Sreenivasa Rao, V., Godla, S.R., “Enhancing HCI Through Real-Time Gesture Recognition with Federated CNNs: Improving Performance and Responsiveness”, International Journal of Advanced Computer Science and Applications, Vol 15, No 4, pp. 859-868, 2024.
  3. Praveena, H.D., Srilakshmi, V., Rajini, S., Kolluri, R., Manur, M., “Balancing module in evolutionary optimization and Deep Reinforcement Learning for multi-path selection in Software Defined Networks”, Physical Communication, Vol 56, pp. 101956, 2023.

Conferences:

  1. Uday Kiran, G., Srilakshmi, V., Reddy, G.J.P., Divya, B., Laxmi, H.B., “SynapGraph: A Lightweight Adaptive Spatio-Temporal GNN for Robust EEG Emotion Recognition”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  2. Uday Kiran, G., Srilakshmi, V., Padmini, G., Anvith Reddy, G., Sai Shivani, B., “VISAGE-X: Interpretable Graph-Based and Explainable Scene Reasoning for Vision-Language Understanding”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  3. Lavanya, B., Uday Kiran, G., Srilakshmi, V., Laukya, G., Karthik Reddy, L., “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  4. Srilakshmi, V., Varun Reddy, V., Uday Kiran, G., Snigdha, K.S., Josiah, D.C., “Enhancing Aspect-Based Sentiment Analysis Through Knowledge Graphs and Multiview Representation Learning”, 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON 2026), 2026.
  5. Srilakshmi, V., Uday Kiran, G., Moulika, B., Laukya, G., Ruthick, M., “Integrating NAS for Human Pose Estimation”, Procedia Computer Science, Vol 252, pp. 182-191, 2025.
  6. Uday Kiran, G., Srilakshmi, V., Padmini, G., Ramana, V.B., Reddy, P.G., “Neural Architecture Search-Driven Optimization of Deep Learning Models for Drug Response Prediction”, Procedia Computer Science, Vol 252, pp. 172-181, 2025.
  7. Srilakshmi, V., Uday Kiran, G., Akhila, P., Abhinav Reddy, K., Varun Reddy, E., “Automated Retinal Image Analysis for Early Detection of Eye Disorders”, 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE 2025), 2025.
  8. Uday Kiran, G., Srilakshmi, V., Padmini, G., Sri Snigdha, K., Siva Praneetha, K., “Cache-Optimized Shared Embedding Space For Seamless Cross-Modal Search”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
  9. Srilakshmi, V., Uday Kiran, G., Sai Sreeja, S., Karthik, V., Sridar Chowdary, P., “Cache-Augmented Multimodal Sentiment Detection Using Embedding Systems”, 8th World Engineering Conference on Contemporary Technologies (WECON 2025): NextGen Sustainable Technologies, 2025.
  10. Uday Kiran, G., Srilakshmi, V., Mounika, M., Padmini, G., Dubey, S., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques”, Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications (Inc4 2025), 2025.
  11. Srilakshmi, V., Uday Kiran, G., Priyanka, B., Smarandas, K., Prashanth, C.S.R.K., “Stack-Based Ensembles for Robust Neural Image Captioning”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  12. Uday Kiran, G., Srilakshmi, V., Harshith, K.S., Mokshith, L.V.S., Sowmya, A., “Learning Correspondences Across Domains for Exemplar-Based Image Translation”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  13. Uday Kiran, G., Srilakshmi, V., Padmini, G., Priyanka, B., Bhagya Laxmi, H., “One-Shot Stylization for Transformative Facial Art using StyloMorph”, Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON 2024), 2024.
  14. Uday Kiran, G., Srilakshmi, V., Moulika, B., Laukya, G., Ruthick, M., “Securing Personal Identity in Facial Recognition: The Shift to Machine Unlearning”, 4th International Conference on Sustainable Expert Systems (ICSES 2024) – Proceedings, pp. 1115-1121, 2024.
  15. Nagavelli, U., Sreeja, T., Srilakshmi, V., Vijay Kumar, M., “Precision Agriculture with Remote Sensing: Integrating Deep Learning for Crop Monitoring”, Sustainable Farming through Machine Learning Enhancing: Productivity and Efficiency, pp. 174-187, 2024. (Book Chapter)
  16. Chegoni, R., Srilakshmi, V., Rajendran, R., Changala, R., Thatha, V.N., “Image Classification Using Optimized Convolution Neural Network”, 2024 Parul International Conference on Engineering and Technology (PICET 2024), 2024.
  17. Uday Kiran, G., Gajula, S., Sravanthi, A., Veditha, T., Reddy, D.V., “Inception V3 Model-Based Approach for Detecting Defects on Steel Surfaces”, 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT 2024), pp. 331-335, 2024.
  18. Uday Kiran, G., Srilakshmi, V., Deepika, R., Vamsi, R.M., Srivarsha, T., “Dynamic Ensemble Learning with Evolutionary Programming and Swarm Intelligence for Image Classification”, Procedia Computer Science, Vol 230, pp. 669-678, 2023.
  19. Srilakshmi, V., Uday Kiran, G., Mounika, M., Akhil, V.N.S., Manasa, M., “Evolving Convolutional Neural Networks with Meta-Heuristics for Transfer Learning in Computer Vision”, Procedia Computer Science, Vol 230, pp. 658-668, 2023.
  20. Kiran, A., Vidhya, V., Duvvuri, B.K., Srilakshmi, V., Paulraj, D., “An AI Based Chat Bot For Banking Applications using Intelligent Chat Bots”, 2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE 2023), 2023.
  21. Thatha, V.N., Veerasekharreddy, B.V.S., Gaddam, V., Maddu, S., Srilakshmi, V., “An Enhanced Support Vector Machine Based Pattern Classification Method for Text Classification in English Texts”, 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS 2023) – Proceedings, 2023.
  22. Kusumasri, B., Srilakshmi, V., Satyavada, S., Uday Kiran, G., “Crop Recommendation Application using Ensemble Classifiers”, 2nd Edition of IEEE Delhi Section Owned Conference (DELCON 2023) – Proceedings, 2023.
  23. Srilakshmi, V., Chakradhar, K.S., Suneetha, K.R., Yamsani, N., Reddy Madhavi, K., “Artificial Intelligence for Detecting Prevalence of Indolent Mastocytosis”, Lecture Notes in Networks and Systems, Vol 648 LNNS, pp. 33-43, 2023.
  24. Srilakshmi, V., Uday Kiran, G., Guntupalli, Y., Gayathri, C.N., Raju, A.S., “Automatic Visual Inspection – Defects Detection using CNN”, 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2022) – Proceedings, pp. 584-589, 2022.
  25. Uday Kiran, G., Srilakshmi, V., Nandhini, C.H., Gagan Chandra, B., Yamini Keerthi, K., “Estimating 3D Human Pose using Point Based Pose Estimation and Single Stage Method”, ICAN 2022 – 3rd International Conference on Computing, Analytics and Networks – Proceedings, 2022.
  26. Uday Kiran, G., Srilakshmi, V., Hussain, M.M., “Deep learning Support Vector Machine Application Management for Prediction Binding Elements”, 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE 2022), pp. 2493-2497, 2022.
  27. Participated in International Conference ICMCECE – 16 and presented a paper on “Storage Solutions in Hadoop “in BTI, Bangalore on April 23, 2016.

Journals:

  1. NIKHILA, R., LAVANYA, B., VARASREE, B., & PURNACHAND, D. (2026). ADNET-AI: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MULTI-CLASS ECG ARRHYTHMIA DETECTION IN CLINICAL DECISION SUPPORT SYSTEMS. Journal of Theoretical and Applied Information Technology, 104(1).
  2. Uday Kiran G, Srilakshmi V, Lavanya B, Priyanka B, “IntelliForecast: A Machine Learning Framework with Feature Engineering for Efficient Forecasting of Electricity Load”, International Research Journal of Multidisciplinary Technovation, Vol 7 Iss 5,2025, page- 14-30, DOI: 0.54392/irjmt2552

Conferences:

  1. Lavanya, B. Priyanka, H. V. Bhagat, T. Shashank and T. Ravali, “Exploring the Capability of Generative Models for Generating Adversarial Instances,” 2024 2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV), Hyderabad, India, 2024, pp. 1-6, doi: 10.1109/ICPEEV63032.2024.10931935.
  2. K. G. et al., “One-Shot Stylization for Transformative Facial Art using StyloMorph,” 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India, 2024, pp. 1-8, doi: 10.1109/DELCON64804.2024.10866661.
  3. U. Kiran et al., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques,” 2025 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2025, pp. 1-5, doi: 10.1109/InC465408.2025.11256496.
  4. V, H. D. P, C. Abhinaya, U. K. G, L. B and M. M, “Behavior-Aware Framework for Account and Deposit Recommendations Using LSTM-Based Sequence Modeling and Retrieval-Augmented Explanations,” 2026 International Conference on Emerging Trends in Mobile Computing and Sustainable Informatics (ICEMCSI), Bengaluru, India, 2026, pp. 1-6, doi: 10.1109/ICEMCSI67638.2026.11603060.
  5. B, U. K. G, S. V, S. P. D, L. G and K. R. J, “Integrating Knowledge Graph Reasoning for Explainable Question Answering in NLP Systems,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-6, doi: 10.1109/I3CTCON68242.2026.11507631.

Conferences:

  1. “Advancing Heart Disease Detection Using Ensemble Meta-Feature Integration,” in Proceedings of the 5th IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT-2024), IEEE, 2024, doi:10.1109/IC2PCT60090.2024.10486612

Journals:

  1. Uday Kiran G, Srilakshmi V, Lavanya B, Priyanka B, “IntelliForecast: A Machine Learning Framework with Feature Engineering for Efficient Forecasting of Electricity Load”, International Research Journal of Multidisciplinary Technovation, Vol 7 Iss 5,2025, page- 14-30, DOI: 0.54392/irjmt2552
  2. An Offensive Alert Based Novel Algorithm Of A Forced Entry Scheme In Wireless Ad hoc Network, International Journal Of Advanced Research and Innovation -Vol.7, Issue .I

Conferences:

  1. K. G. et al., “One-Shot Stylization for Transformative Facial Art using StyloMorph,” 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India, 2024, pp. 1-8, doi: 10.1109/DELCON64804.2024.10866661.
  2. Lavanya, B. Priyanka, H. V. Bhagat, T. Shashank and T. Ravali, “Exploring the Capability of Generative Models for Generating Adversarial Instances,” 2024 2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV), Hyderabad, India, 2024, pp. 1-6, doi: 10.1109/ICPEEV63032.2024.10931935.
  3. V. et al., “Stack-Based Ensembles for Robust Neural Image Captioning,” 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON), New Delhi, India, 2024, pp. 1-6, doi: 10.1109/DELCON64804.2024.10866694.
  4. U. Kiran et al., “Exploring the Impact of Neural Architecture Search on Human Pose Detection Techniques,” 2025 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2025, pp. 1-5, doi: 10.1109/InC465408.2025.11256496.
  5. U. Kiran, B. Priyanka, N. Nikhil, P. Jethin and N. S. Priya, “Image Super-Resolution Using ESRGAN Model,” 2025 10th International Conference on Research in Intelligent Computing in Engineering (RICE), Hyderabad, India, 2025, pp. 1-8, doi: 10.1109/RICE67503.2025.11439990.
  6. Mounika, B. Priyanka, P. Suresh, P. Nithin and P. H. Kiran, “Early Detection of Alzheimer’s Disease using Transfer Learning and Explainable AI,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-5, doi: 10.1109/I3CTCON68242.2026.11507550.
  7. Priyanka, G. U. Kiran, S. Sanapala, S. Jella, V. Karthik and V. Gopika, “Hybrid Motion Synthesis for Speech-to-Sign Translation Using Deterministic Linguistic Parsing and Gated Recurrent Units,” 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-7, doi: 10.1109/I3CTCON68242.2026.11507164.

Journals:

  1. A. Kumar, D. Boreda and S. Vishwakarma, “Redesigned Cloud Service Migration Techniques for Improved Portability,” 2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), Jabalpur, India, 2024, pp. 550-554, doi: 10.1109/CSNT60213.2024.10545936.
  2. Boreda Divya, Dr.Ashok Kumar Nanda, Jalda C.S, Dr. V. Pradeep Kumar, Gautam K, 2024. “An Approach to Blockchain Based E-Voting System Using Peer-to-Peer Protocol”, In: Devi, B.R. Kumar, K.Raju, Raju K.S., Sellathurai.M. (eds) Proceedings of Fifth International Conference on Computer and Communication Technologies. IC3T 2023. Lecture Notes in Networks and Systems, vol 897. Springer, Singapore. http://doi.org./10.1007/978-981-99-9704-6_31
  3. Rani, K. & Divya, Boreda & Uyyala, Ravi & Changala, Ravindra & Kumar, G. & Priya, R.. (2025). Graph‐Based Representation in Artificial Neural Networks. 10.1002/9781394302628.ch15.
  4. Nanda, Ashok Kumar & Jalda, Chaitra & Kumar, V. & Chakali, Venkata & Munavath, Krishnaveni & Marukanti, Srihari & Divya, Boreda. (2024). Opinion Mining for Online Customer Reviews. 10.1007/978-981-97-8031-0_96.

Conferences:

  1. Presented a paper entitled “SynapGraph: A Lightweight Adaptive Spatio-Temporal GNN for Robust EEG Emotion Recognition” in 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON) during 13th and 15th March 2026.
  2. Presented a paper in “Springer 5th International Conference on Computer & Communication Technologies (IC3T-2023)” organized by the Department of Electronics and Communication Engineering, Kakatiya Institute of Technology & Science, Warangal, Telangana during 6-7 October, 2023 for the paper titled “An Approach to Blockchain Based E-Voting System using Peer-to-Peer Protocol.

Conferences:

  1. Ashwini, Dr.K. Subba Rao Published a Paper ” Performance Improvement of Software through Genetic Algorithm by using Automatic Test Case Generation ” on International Conference on Cognitive and Intelligence Computing (ICCIC2023), Organized by Vasavi College of Engineering, Hyderabad, Telangana, 8th and 9th, Dec 2023-Springer Conference.

Conferences:

  1. “Particle Swarm Optimization for Efficient Brain Tumor Classification using InceptionV3 Deep Learning Model”(2024-2025)
  2. “Interpretable Deep Learning Model for Pneumonia Diagnosis from Chest X-Rays “(2025-2026)

Journals:

  1. Automatic Street Light Using LDR And IR”, Journal of Nonlinear Analysis and Optimization Vol. 13, Issue. 2 : 2022 ISSN : 1906-9685
  2. “A Study On Big Data Analytics And Visualization Tools With Special Reference To data On Covid 19”, Recent Trends & Innovations in Science, Engineering and Social Sciences 2022
  3. “User Preference Based Recommendation Method on MapReduce with Big Data Application” International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN: 0976-1353 Volume 13 Issue 4 –MARCH 2015.
  4. “A Systematic Exploration Security Of Data Traffic In Distributed Firewall Network”, Recent Trends & Innovations in Science, Engineering and Social Sciences 2023
  5. “User Personalized Search on Big Data” Application International Journal of Engineering Research & Technology (IJERT), Vol 3, Issue 10, October 2014.
  6. “A Study on Big Data” International Journal of Engineering Research & Technology (IJERT)
    Vol 3, Issue 9, September 2014.

Conferences:

  1. “Iridology as a Predictive Tool for Human Health: Innovating Non-Invasive Diagnostics” , 2026 International Conference on NexGen Networks and Cybernetics (IC2NC)
  2.  “An Innovative Deep Learning-Based Predictive Maintenance Model for Smart Automotive System”,2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). 
  3. “Hybrid RF-DNN-LSTM Ensemble for Short-Term Solar Energy Forecasting”, International Conference on Inventive Computation Technologies, ICICT 2025.
  4. “Probabilistic Solar Irradiance Prediction Using XGBoost and KDE”. International Conference on Research in Intelligent Computing in Engineering 2025
  5. “Environmental Monitoring in Agriculture Using Wireless Sensor Networks (WSNs): Challenges and Applications”, Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 227–241.
  6. “Machine Learning Approaches for Sentiment Analysis in Social Media Using Soft Computing Techniques”, Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 659–670
  7. “User Preference Based Recommendation Method on MapReduce with Big Data Applications” in the International Conference on Advances in Emerging Technology ICAET 2015 held at Jaya Engineering college ,Chennai
  8. “Fault Diagnosis in Wireless Sensor Networks (WSNs) Using Machine Learning (ML) “Approach Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 733–746.
  9.  “Optimizing Energy Efficiency in Wireless Sensor Networks Using Machine Learning Techniques”, Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 599–610.
  10.   “Data Mining and Machine Learning Techniques in Knowledge Discovery” Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 1, pp 483–498.

Journals:

  1. “An Experimental Detail Analysis Of Cloud Computing For Security & Privacy Issues”, International Journal of Advanced Science and Technology (IJAST) ISSN:2005-4238E-ISSN:2207-6360 Vol-127-Scopus Indexed-June-2019.
  2. “Statistical Methods in the Usage of Correlation and Regression of the Machine Learning Models”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S11, Scopus Indexed in September 2019.

Journals:

  1. “Dynamic Administration of Setting and Substance Catchphrases for Individual Web Revisitation”, International Journal of Recent Technology and Engineering (IJRTE), Volume-7, Issue-6, March 2019.

Conferences:

  1. Neela Ravali, Sasidhar reddy Gaddam, DR. Swapna, Sriharsha Vikrutghi, “Deep Sensor Fusion Frame work for Autonomous Vehicle Perception”, 2025 International Conference on NextGen Networks and Cybernetics (IC2NC), 2025.
  • Innovative Blockchain-Integrated Crowdfunding Solution for Sustainable Business Startups
  • AI Healthcare Industry in Life Science Industry: A Perspective View

Conferences:

  1. “From Sensors to Solutions: A Survey on IoT and Machine Learning in Modern Agriculture,” IEEE International Conference on Data Science, Agents, and Artificial Intelligence (ICDSAAI 2025), Chennai Institute of Technology, Chennai.​
  2. “Intelligent Farming System: IoT and Adaptive Machine Learning for Sustainable Agriculture,” IEEE International Conference on Communication and Signal Processing, 2025.​
  3. “Real-Time Financial Fraud Detection with Autonomous Graph Neural Networks,” ICMCTC2025, Kuala Lumpur, Malaysia.

Journals:

  1. Nishath Ansari, Suresh Dara,  Jaala Shruthi  “Dual Shot Face Detecting using Deep Learning,”  International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-6, March 2020.

Journals:

  1. International Journal of Creative Research Thoughts (IJCRT): Communication Application for Hearing Impaired (Deaf and Dumb) with the help of Convolutional Neural Network of IJCRT Volume XI, Issue May/2023 ISSN NO:2320-2882.

Conferences:

  1. “Leveraging Ensemble Deep Learning Techniques For Underwater Image Enhancement”-Article has been Accepted.
  2. Published a patent titled: “Lesion-Aware Diffusion Super-Resolution(LAD-SR) framework designed to generate high resolution medical images” .
  3. Published a patent titled: “A Privacy-Preserving Federated Learning Framework with Adaptive Secure Aggregation and Heterogeneous Device Optimization”.
  4. Published a patent titled: “Deep Learning System for Synthesizing Drug-Reactive Materials Using Auto-Optimized Neural Networks”.
  5. CardioPredict – Explainable AI Framework for Early Detection And Risk Stratification of Cardiovascular Diseases.

Journals:

  1. Location Based Management System Sep’ 2012. IJRETM, ISSN 2347-7539
  2. Smart Traffic Control System Using ZIGBEE/RFID Networks, International Journal of Civil Engineering and Technology (IJCIET),(Scopus Indexed Journal),ISSN Print: 0976-6308 and ISSN Online: 0976-6316, Volume 8, Issue 6, June 2017.
  3. Efficient Method of Wireless Ad Hoc Networks Using Cooperative Aware Mac Protocol, IJRECS @ July – Aug 2017, V-10, I-7, ISSN-2321-5485(Online)
  4. LQN-MAC: A Location Based QoS Aware Novel Mac Protocol For Achieving High Throughput IN MANETS, International Journal of Advance Research in Science and Engineering, Volume 5, Special Issue (01), July 2017
  5. A Survey On Challenges And Directions Of Cyber Security, AIJREAS VOLUME 3, ISSUE 3, MARCH 2018, ISSN-2455-6300
  6. Recent Trends In Security And Privacy Of Sensitive Data In Cloud Computing, International Journal of Engineering & Technology (Scopus Indexed Journal)7 (4.6) (2018) 241-245, 2018
  7. Advancements Of Security And Privacy Of Sensitive Data Cloud Computing, Jour of Adv. Research in Dynamical & Control Systems(Scopus Indexed Journal)ISSN 1943-023X, Vol. 10, 11-Special Issue, 2018
  8. Server-Based Severtec-Encryption-Based Mixed-Feature encryption With Verifiable Authorization In Cloud Computing, IJRRECS, June 2018, Volume-6, Issue-6, ISSN 2321-5461
  9. Secure Data Access and Sharing On Outsourcing Information, International Journal of Research, Volume VIII, Issue VI, JUNE/2019, ISSN NO:2236-6124
  10. Mutli-Traffic Scene Perception Based ON Supervised Learning, International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), ISSN: 2582-5208, Volume:06/Issue:02/February-2024
  11. Network Traffic Analysis Using Machine Learning, International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), Volume:06/Issue:03/March-2024, ISSN NO: 2582-5208
  12. HADQ-Shield :Differentiable Wavelet Denoising and Integer Quantization with Spectral Consistency and Calibrated Robust Training ,International Journal of Intelligent Engineering and System(IJIES) vol.19,No.2, Jan 2026.
  13. SCOPE: Stochastic Consensus Purification with Explanation Consistency for Adversarially Robust Image Classification, Journal of Theoretical and Applied Information Technology (JATIT), Vol. 104, No. 12, June 2026, ISSN: 1992-8645, E-ISSN: 1817-3195.

Conferences:

  1. Presented a paper titled “Explainable Multi-Modal Pneumonia Detection Using MCASS-SSL” at the 3rd International Conference on Computing and Machine Learning (CML 2026), held during 07th–08th March 2026.
  2. Presented a paper titled “Universal Motion Representation for Cross-Category and Zero-Shot Image Animation” at the 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), held during 13th–15th March 2026
  3. Presented a paper titled “Physics-Informed Neural Networks for Sustainable Climate Simulation and Environmental Prediction” at CIGAI-2026 (Second International Conference on Mathematical Modeling in Computational Intelligence and Generative AI), held during 16th–17th July 2026.

Journals:

  1.  The paper, “AUTOMATED DRIVER ALERTNESS MONITORING SYSTEM USING EYE BLINK DETECTION“, authored by Devuni Sathish. has been published (In Press) 2025 of the journal Utilitas Mathematica. Indexed in the Scopus Database (Q4)
  2. “LegalEase: An AI-Powered Conversational Assistant for Simplified Legal Information Access” Volume 1, Issue 1: January, 2026, International Journal of Recent Trends in Technology and Engineering (IJRTTE)

Conferences:

  1. RAG-Sentinel: A Hybrid Tiered Defense System Against Indirect Prompt Injection in Retrieval-Augmented Generation (RAG) – Presented at the 3rd International Conference on Computing and Machine Learning (CML 2026), organized by Sikkim Manipal University, Majitar, Sikkim, India, held during 07–08 March 2026. Published in the Springer Conference Proceedings.
  2. PII Guard: Real-Time Multimodal Privacy Protection for Screenshots – Accepted for presentation at the 2026 IEEE International Conference on Contemporary Computing and Communications (InC4 2026) and publication in the IEEE Xplore Digital Library.

Journals:

  1. Published a paper titled “Uncovering Hidden Indications: Predicting Novel Drug-Disease Associations with Graph Neural Networks and Deep Embedded Clustering” in IJDDT, Volume 16 Issue 21s, 2026.
  2. Published a paper titled “Big Data Cyber Security Threats for Mutual Detection” in International Journal of Pure and Applied Mathematics(IJPAM),Volume 114,ISSN: 1311-8080,2017
  3. Published a paper titled “An Ensure Outsourcing System for Crystallizing (LE) Linear Equations using Cloud Computing”, IJCST, Vol. 5, Issue 4, Oct–Dec 2014

Conferences:

  1. Presented a paper titled “Big Data Cyber Security Threats for Mutual Detection” in International Conference on Contemporary Engineering and Technology-2017 at PSCMR College of Engineering and Technology, Vijayawada, April 2017  

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