Dr. Dipanwita Thakur

Assistant Professor
Computer Engineering
University of Calabria, Italy

Publications

Patent

  1. D. Thakur, A SYSTEM USING CONVOLUTIONAL AUTO-ENCODER LONG SHORT-TERM MEMORY NETWORK FOR SMARTPHONE-BASED HUMAN ACTIVITY RECOGNITION, 2022. published by IPR, Government of India.

Journal

  1. Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, and Francesco Piccialli. Green Federated Learning: A New Era of Green Aware AI. ACM Computing Surveys Just Accepted (February 2025). https://doi.org/10.1145/3718363

  2. Xu Xu, Junxin Chen, Dipanwita Thakur, Duo Hong, "Multi-modal disease segmentation with continual learning and adaptive decision fusion", Information Fusion, Volume 118, 102962, ISSN 1566-2535, doi: 10.1016/j.inffus.2025.102962, 2025.

  3. Dipanwita Thakur, Antonella Guzzo, and Giancarlo Fortino, "Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities", IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3431628, (August 2024).

  4. Dipanwita Thakur, Antonella Guzzo, and Giancarlo Fortino, "Hardware-algorithm co-design of Energy Efficient Federated Learning in Quantized Neural Network", Internet of Things, 26, 101223, (May 2024).

  5. Dipanwita Thakur, Antonella Guzzo, and Giancarlo Fortino, "A Feature Fusion Method Integrating Gradient Boosted Feature Selection and Deep Learning for Performance-Aware Physical Activity Recognition", Human-centric Computing and Information Sciences, 14, 14–18, (March 2024).

  6. Dipanwita Thakur and Suparna Biswas, "Permutation importance based modified guided regularized random forest in human activity recognition with smartphone", Engineering Applications of Artificial Intelligence, 129, 107681. March 2024.

  7. Dipanwita Thakur and Arindam Pal, "Subsampled Randomized Hadamard Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition", ACM Trans. Comput. Healthcare 5, 1, Article 5 (January 2024), 23 pages.

  8. D. Thakur, A. Guzzo and G. Fortino, "Attention-based Multihead Deep Learning Framework for online activity monitoring with Smartwatch Sensors", IEEE Internet of Things Journal, Vol. 10, No. 20, pp. 17746–17754, October 2023.

  9. D. Thakur and S. Biswas, "Online Change Point Detection in Application With Transition-Aware Activity Recognition", IEEE Transactions on Human-Machine Systems, Vol. 52, No. 6, pp. 1176–1185, December 2022.

  10. D. Thakur and S. Biswas, "An Integration of feature extraction and Guided Regularized Random Forest feature selection for Smartphone based Human Activity Recognition", Journal of Network and Computer Applications, Vol. 204, pp. 103417, August 2022.

  11. D. Thakur and S. Biswas, "Attention-Based Deep Learning Framework for Hemiplegic Gait Prediction With Smartphone Sensors", IEEE Sensors Journal, Vol. 22, No. 12, pp. 11979–11988, June 2022.

  12. D. Thakur and S. Biswas, "Guided regularized random forest feature selection for smartphone based human activity recognition", Journal of Ambient Intelligence and Humanized Computing, Vol. 14, No. 1, pp. 9767–9779, May 2022.

  13. D. Thakur, S. Biswas, E.S.L. Ho and S. Chattopadhyay "ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition", IEEE Access, Vol. 10, pp. 4137–4156, January 2022.

  14. D. Thakur and S. Biswas, "Feature fusion using deep learning for smartphone based human activity recognition", International Journal of Information Technology, Vol. 13, pp. 1615–1624, June 2021.

  15. D. Thakur and M. Khatua, "Multi-Domain Virtual Network Embedding with Dynamic Flow Migration in Software-Defined Networks", Journal of Network and Computer Applications, Vol. 162, July 2020.

  16. D. Thakur and S. Biswas, "Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey", Journal of Ambient Intelligent Humanized Computing, Vol. 11, pp. 5433–5444, March 2020.

Conference Proceedings

  1. D. Thakur, A. Guzzo and G. Fortino, "Analyzing the Fusion of Federated Learning and Large Language Model", "The 5th IEEE International Conference on Human Machine Systems 2025 (IEEE ICHMS'25)", 26-28 May 2025, Abu Dhabi, UAE.

  2. D.Thakur, A. Guzzo, G. Fortino and S.K. Das, "Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning", The 1st Workshop on Federated Learning for Unbounded and Intelligent Decentralization (FLUID) in conjunction with AAAI 2025, February 25 – March 4, 2025, Philadelphia, Pennsylvania, USA.

  3. V. Altomare, D.Thakur, A. Guzzo and F. Piccialli, "Client Specific Dynamic Aggregation for Non-IID Federated Learning", IEEE Big Data, December 15-18, 2024, Washington DC, USA.

  4. D.Thakur, A. Guzzo and G. Fortino, "Anomalous Client Detection in Federated Learning", The 17th International Symposium on Intelligent Distributed Computing (IDC 2024), 18-20 Sept 2024, University of Brighton – U.K.

  5. D. Thakur, A. Guzzo and G. Fortino, "Energy Aware Federated Learning with Application of Activity Recognition", in Proc. of PICom 2023, Abu Dhabi, UAE, 14 – 17 November, 2023.

  6. D. Thakur, S. Roy, S. Biswas, E.S.L. Ho, S. Chattopadhyay S. Shetty, "A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network", in Proc. of IEEE 24th International Conference on Information Reuse and Integration for Data Science (IEEE IRI'23), August 4–August 6, 2023. Bellevue, WA, USA, , 2023, pp. 146–153.

  7. D. Thakur, A. Guzzo and G. Fortino, "t-SNE and PCA in Ensemble Learning based Human Activity Recognition with Smartwatch*"", in Proc. of IEEE 2nd International Conference on Human-Machine Systems (ICHMS), 2021, Magdeburg, Germany, September 8–10, 2021 pp. 1–6.

  8. D. Thakur and S. Biswas, "Optimization of hyperparameters in Convolutional Neural Network for Human Activity Recognition", in Proc. of the ICMISC 2021, Lecture Notes in Networks and Systems, vol 237, pp. 535–546, Springer, Singapore, March 28–29, 2021.

  9. D. Thakur and S. Biswas, "Smartphone based Human Activity Pattern Identification using Unsupervised Learning", in Proc. of the ICDSA 2021Kolkata, India, Lecture Notes in Networks and Systems, vol 287, pp. 549–559, Springer, April 10–11, 2021.

  10. D. Thakur and S. Biswas, "A Novel Human Activity Recognition Strategy using Extreme Learning Machine Algorithm for Smart Health", in Proc. of the Emerging Technologies of Data Mining and Information Security, Advances in Intelligent Systems and Computing Kolkata, India, vol 1286, pp.215–222 Springer, July 2nd–04th, 2020.

  11. D. Thakur, "A Novel Load Balancing approach in Software Defined Network", in Proc. of the 4th International Conference on Information Systems and Computer Networks (ISCON 2019), Mathura India, IEEE, pp. 455–460, November 21–22, 2019.

  12. R. Kesharwani and D. Thakur, "Unsupervised Change Detection in Remote Sensing Images Using Multi-View Learning", in Proc. of the ICICICT 2019, Kannur, India, IEEE, pp. 239–246, July 5–6, 2019,

  13. D. Thakur and M. Khatua, "Cellular Learning Automata-based Virtual Network Embedding in Software-Defined Networks", in Proc. of ICCCN 2018, NITTTR Chandigarh, India, March 29–30, 2018, pp. 173–182.

Book Chapters

  1. D. Thakur, A. Guzzo and G. Fortino, "Exploring Process Mining in Human Activity Recognition: Challenges and Future Directions", Internet of Things Meets Business Process Management: A Synergistic Integration Actions G. Fortino and M. Mecella, Springer Nature Switzerland, Cham., 2025.

  2. D. Thakur and G. Fortino, "A Comprehensive Review of Deep Learning for Activity Recognition", Activity Recognition and Prediction for Smart IoT Environments. Internet of Things. M. Ianni, A. Guzzo, R. Gravina, H. Ghasemzadeh, Z. Wang, Springer, Cham., 2024.

  3. D. Thakur and A. Pal, "Human Activity Recognition: Trends and Challenges", Activity Recognition and Prediction for Smart IoT Environments. Internet of Things. M. Ianni, A. Guzzo, R. Gravina, H. Ghasemzadeh, Z. Wang, Springer, Cham., 2024.

  4. D. Thakur and S. Biswas, "Machine Learning in Sustainable Healthcare", Advanced Computational Techniques for Sustainable Computing, M. Rathi and A. Sinha, Taylor & Francis Group, LLC/CRC Press, USA, 2020.

  5. D. Thakur and S. Biswas and A. Pal, "Human Activity Recognition Systems based on Audio/Video data using Machine Learning and Deep Learning", Internet of Things based Smart Healthcare, Suparna Biswas, Chandreyee Chowdhury, Biswaranjan Acharya, Chuan-Ming Liu, Springer Nature, 2021.

Poster Presentation

  1. D. Thakur and S. Biswas, "An Adaptive Human Activity Recognition using Smartphones", 4th Regional Science \& Technology Congress (Southern Region), WB, 23–24 December, 2019.

Google Scholar Profile

A summary of publications till date in Google Scholar Profile.

Open Researcher and Contributor ID (ORCID)

https://orcid.org/0000-0002-8329-2429