Publications

Enabling Blockchain Architecture for Health information exchanges (HIE)

Unleashing the Potentials of Blockchain Technology for Healthcare Industries, Elsevier, 2023

This paper proposes a blockchain-based architecture for Health Information Exchanges (HIEs), to improve security, privacy, and interoperability, while granting patients complete ownership over their electronic health records.

Recommended citation: Parekh, N., & Mangrulkar, R. (2023). Chapter 5 - Enabling blockchain architecture for health information exchanges. In M. M. Ghonge, P. N., A. Das, Y. Wu, & O. Pal (Eds.), Unleashing the Potentials of Blockchain Technology for Healthcare Industries (pp. 77–93). doi:10.1016/B978-0-323-99481-1.00011-0 https://www.sciencedirect.com/science/article/pii/B9780323994811000110

Text Style Transfer: A Comprehensive Study on Methodologies and Evaluation

Big Data, Machine Learning, and Applications, 2023

This paper provides a systematic review of Text Style Transfer (TST), categorizing past works based on machine learning and deep learning algorithms, discussing various TST subtasks, compiling available datasets, summarizing evaluation practices, and highlighting current challenges and future research directions in TST.

Recommended citation: Parekh, N., Trivedi, S., & Srivastava, K. (2024). Text Style Transfer: A Comprehensive Study on Methodologies and Evaluation. In M. D. Borah, D. S. Laiphrakpam, N. Auluck, & V. E. Balas (Eds.), Big Data, Machine Learning, and Applications (pp. 269–284). Singapore: Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-99-3481-2_22

Parkinson’s Disease Detection - An Interpretable Approach to Temporal Audio Classification

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 2022

This paper presents a novel deep learning model for Parkinson’s disease detection using vocal signals, with a focus on providing interpretable results through an innovative algorithm that assesses the significance of different audio chunks.

Recommended citation: Shah, R., Dave, B., Parekh, N., & Srivastava, K. (2022). Parkinson's Disease Detection - An Interpretable Approach to Temporal Audio Classification. 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 1–6. doi:10.1109/GCAT55367.2022.9971881 https://ieeexplore.ieee.org/document/9971881

A Federated Approach to Predicting Emojis in Hindi Tweets

2022 Conference on Empirical Methods in Natural Language Processing, 2022

This paper introduces a new dataset for Hindi emoji prediction and proposes a modified federated learning algorithm, CausalFedGSD, to balance model performance with user privacy.

Recommended citation: Gandhi, D., Mehta, J., Parekh, N., Waghela, K., D’Mello, L., & Talat, Z. (2022, December). A Federated Approach to Predicting Emojis in Hindi Tweets. In Y. Goldberg, Z. Kozareva, & Y. Zhang (Eds.), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (pp. 11951–11961). doi:10.18653/v1/2022.emnlp-main.819 https://aclanthology.org/2022.emnlp-main.819/

ChaDRaL: RGB Image Encryption based on 3D Chaotic Map, DNA, RSA and LSB

2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), 2022

This paper introduces ChaDRaL, an RGB image encryption method combining chaos theory, DNA sequencing, RSA encryption, and LSB steganography, offering secure key transfer and resistance to statistical and differential attacks.

Recommended citation: Parekh, N., & D’Mello, L. (2021). ChaDRaL: RGB Image Encryption based on 3D Chaotic Map, DNA, RSA and LSB. 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), 1–6. doi:10.1109/AIMV53313.2021.9670921 https://ieeexplore.ieee.org/document/9670921

Automatic Sleep Stage Scoring on Raw Single-Channel EEG : A comparative analysis of CNN Architectures

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021

This research explores the use of advanced Convolutional Neural Networks (CNNs) for classifying the complex stages of sleep through EEG data analysis, aiming to enhance the diagnosis and treatment of prevalent sleep disorders.

Recommended citation: Parekh, N., Dave, B., Shah, R., & Srivastava, K. (2021). Automatic Sleep Stage Scoring on Raw Single-Channel EEG : A comparative analysis of CNN Architectures. 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 1–8. doi:10.1109/ICECCT52121.2021.9616895 https://ieeexplore.ieee.org/document/9616895

TaxoDaCML: Taxonomy based Divide and Conquer using machine learning approach for DDoS attack classification

International Journal of Information Management Data Insights, 2021

This paper presents TaxoDaCML, a machine learning-based approach using a divide and conquer strategy for efficiently detecting and classifying various DDoS attacks with high accuracy.

Recommended citation: Thorat, O., Parekh, N., & Mangrulkar, R. (2021). TaxoDaCML: Taxonomy based Divide and Conquer using machine learning approach for DDoS attack classification. International Journal of Information Management Data Insights, 1(2), 100048. doi:10.1016/j.jjimei.2021.100048 https://www.sciencedirect.com/science/article/pii/S2667096821000410?via%3Dihub

Nirali Parekh