Publications

Journal Publication (SCI):

• Parui, Sricheta, et al. "Artificial intelligence and sensor-based autism spectrum disorder diagnosis using brain connectivity analysis." Computers and Electrical Engineering 108 (2023): 108720.

• Chakraborty, Pritam, et al. "OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction." PLOS ONE 20.8 (2025): e0328967.

• Parui, Sricheta, et al. "Agentic Hypergraph Contrastive Shapelet Learning for Interpretable Autism Spectrum Disorder Diagnosis" IEEE Journal of Biomedical and Health Informatics (2026) [Under Review]

• Parui, Sricheta, et al. "A Lightweight EEG-Based Affective Intelligence Framework for Women’s Emotional Well-being in Wearable Consumer Electronics" IEEE Transactions on Consumer Electronics (2026) [Under Review]

• Parui, Sricheta, et al. "Leveraging Ensemble AI Models for EEG-Based Emotion Prediction Toward 6G-Enabled Clinical Decision Support in IoMT" IEEE Internet of Things Journal. (2026) [Under Review]

Book Chapters:

• Parui, Sricheta, and Anjali Diwan. "Unlocking the mind: Artificial intelligence powered insights into brain signals and human behavior." Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 4. Singapore: Springer Nature Singapore, 2025. 215-234.

• Ghosh, Archita, et al. "Computer aided diagnosis: Approaches to automate hematological tests: Approaches to automate hematological tests." Modern Techniques in Biosensors: Detection Methods and Commercial Aspects. Singapore: Springer Singapore, 2021. 111-134.

Conference Papers (Scopus):

• Parui, Sricheta, et al. "Adaptive Spatial Filtering and Linear Discriminant Learning for Robust Motor Imagery EEG Classification." 2025 Seventh International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2025.

• Parui, Sricheta, Srinithi Mitra, and Anjali Diwan. "Advancing eeg-based emotion detection with fusion of f-connectivity and emd features and ensemble classification." International Conference on Pattern Recognition. Cham: Springer Nature Switzerland, 2024.

• Parui, Sricheta, et al. "Enhanced techniques for multi-emotion detection from eeg signals: Focus on channel and feature selection." 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). IEEE, 2024.

• Parui, Sricheta, et al. "Emotion recognition from EEG signal using XGBoost algorithm." 2019 IEEE 16th India council international conference (INDICON). IEEE, 2019.

• Parui, Sricheta, et al. "A brain to uav communication model using stacked ensemble csp algorithm based on motor imagery eeg signal." ICC 2022-IEEE international conference on communications. IEEE, 2022.

• Parui, Sricheta, Debasis Samanta, and Nishant Chakravorty. "An advanced healthcare system where internet of things meets brain-computer interface using event-related potential." Proceedings of the 24th International Conference on Distributed Computing and Networking. 2023.

• Parui, Sricheta, et al. "A study on seizure detection performance in an automated process by extracting entropy features." 2022 5th International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 2022.

• Parui, Sricheta, et al. "Artificial intelligence induced multi-level attention states recognition from brain using eeg signal." 2021 4th international conference on signal processing and information security (ICSPIS). IEEE, 2021.

• Parui, Sricheta, Debasis Samanta, and Nishant Chakravorty. "Sec-end: Stacked ensemble correlation-based feature selection method for emotion detection." 2022 IEEE Silchar Subsection Conference (SILCON). IEEE, 2022.

• Parui, Sricheta, and Deborsi Basu. "A cognitive framework to detect aud patients from eeg signal using hybrid super learning model." 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021.

• Parui, Sricheta, and Deborsi Basu. "AIM-Scan: AI-Enabled Mobile Healthcare Unit to Detect the Emotional State of Autistic Children." Doctoral Symposium on Human Centered Computing. Singapore: Springer Nature Singapore, 2024.

• Parui, Sricheta, Lidia Ghosh, and Amit Konar. "N400 repetition effects on olfactory memory learning." 2018 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2018.

• Parui, Sricheta, and Deborsi Basu. "An improved cognitive approach for automated epileptic seizure detection from multichannel eeg." 2021 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE). IEEE, 2021.

• Parui, Sricheta, et al. "Daal: A deep aggregated assemble learning model for detecting epileptic patients from eeg." 2022 IEEE 4th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS). IEEE. 2022.

• Parui, Sricheta, Uttam Ghosh, and Puspita Chatterjee. "Parkinn: An integrated neural network model for parkinson detection." 2022 IEEE 4th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS). IEEE, 2022.

• Mitra, Srinithi, Utkarsh Patel, and Sricheta Parui. "Unraveling autism through FCN using hierarchical support vector machine (H-SVM) and interactive embedding-k nearest neighbors (INEM-KNN)." International Conference on Pattern Recognition. Cham: Springer Nature Switzerland, 2024.

• Arora, Aayush, et al. "Early detection of diabetic retinopathy: An explainable ai approach using dr-net." International Conference on Pattern Recognition. Cham: Springer Nature Switzerland, 2024.

• Dey, Anik, et al. "Enhancing Brain Painting with a Quick Contrast Speller: A Novel BCI Interface for Improved Communication and Creative Expression." International Conference on Smart Computing and Informatics. Cham: Springer Nature Switzerland, 2025.

• Paul, Anuruddha, et al. "An empirical analysis for predicting obesity levels using machine learning models." 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS). IEEE, 2024.

• Mukherjee, Arka, et al. "Predictive modeling for asthma disease detection: A comparative study of machine learning algorithms." 2024 IEEE 4th International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC). IEEE, 2024.

• Ghosh, Lidia, et al. "Eeg analysis for working memory modeling in face recognition task." 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 2017.

• Ghosh, Lidia, et al. "P-300 and n-400 induced decoding of learning-skill of driving learners using type-2 fuzzy sets." 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2018.

• Laha, Mousumi, et al. "Evaluation of density based odor classification by general type-2 fuzzy set induced pattern classifier." 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2018.

• Basu, Deborsi, et al. "In-heal: intelligent healthcare architecture using AI-based priority scheduling mechanism in VSDN-driven edge network." 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021.

• Kar, Reshma, et al. "An Interpretable Machine Learning Approach to Decode Event-Related Oscillations during Motor-Imagery." 2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). IEEE, 2025.

• Pandey, Priyam, et al. "Predictive models for liver disease: Unraveling patterns with machine learning algorithms." 2024 IEEE 4th International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC). IEEE, 2024.

• Bambharoliya, Arpita, et al. "Advanced road sign detection system utilizing convolutional neural networks." 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS). IEEE, 2024.

• Bambharoliya, Arpita, et al. "Skin Cancer Classification using Advanced Deep Learning Techniques." 2025 2nd International Conference on Integration of Computational Intelligent System (ICICIS). IEEE, 2025.

• Basu, Deborsi, et al. "Optimum e-health care resource provisioning using network slicing approach for future 5g networks." 2021 4th International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 2021.

• Basu, Deborsi, Ritu Chaudhary, and Sricheta Parui. "Federated Learning for e-Healthcare: A NextGen Holistic Framework Using Edge-Cloud Interplay." Doctoral Symposium on Human Centered Computing. Singapore: Springer Nature Singapore, 2024.

• Basu, Deborsi, Sricheta Parui, Imandi Deepak, and Mahendra Gourisaria. "EEG-Based Detection of ADHD: A Comparison of Keyboard and EMOTIV-Controlled Gameplay." In 2024 IEEE 6th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS), pp. 1-2. IEEE, 2024.

• Pati, Natasha, et al. "Safety Equipment Detection at Construction Site Using YOLOv8 and Varied Color Spaces." International Conference on Trends in Electronics and Health Informatics. Singapore: Springer Nature Singapore, 2024.