Academic Information
Dr. Pubali De is an Associate Professor in the Department of Basic Science and Humanities, UEM Kolkata. She completed her Ph.D. from Jadavpur University in 2023, specializing in Machine Learning, Instrumentation, and Signal Processing, with a focus on dictionary learning-based systems for smart home activity monitoring. With over eight years of teaching experience, she has taught undergraduate courses. Dr. De has published in reputed international journals, including IEEE Transactions on Instrumentation and Measurement, IEEE Internet of Things Journal, IEEE Sensors Journal, Journal of Measurement Science and Technology, and IOP Science. She has also presented and published her research in several prestigious international conferences, including the IEEE Applied Signal Processing Conference (ASPCON), International Conference on Signal Processing and Communication (ICSC), International Conference on Emerging Technologies: Micro to Nano (ETMN), RAAISA, and Springer conferences such as CIPR and Advances in Control, Signal Processing and Energy Systems, and others. Dr. De actively serves as a reviewer for leading journals, including IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, IEEE Transactions on Communications, Engineering Applications of Artificial Intelligence, ISA Transactions, and OJIM. Dr. De actively serves as an Editor board member of the International Journal of Smart Sensing and Intelligent Systems. She is also a Member of the IEEE Instrumentation & Measurement Society.
Contact Information:
Kolkata, West Bengal, India
Email: [email protected] | [email protected] | [email protected]
Phone: +91 9874303838 | +91 7980773300
Google Scholar: https://scholar.google.com/citations?user=aBvpSbsAAAAJ
Scopus Author ID: 57200175339
ORCID ID: 0000-0003-0313-439X
LinkedIn ID: www.linkedin.com/in/pubali-de-4236a07a
Research Areas
Research Interests
Future Research Direction includes:
1. Development of Low-Cost Integrated AAL Systems
o Use novel dictionary learning (DL) techniques.
o Handle challenging environments (e.g., obstacles, varied shapes).
o Improve robustness for fall detection, human tracking, etc.
2. Application of DL Strategies to New Domains
o Industrial Internet of Things (IIoT).
o Internet of Medical Things (IoMT).
o Cybersecurity systems.
o Cyber-Physical Systems (CPS).
o Focus on predictive maintenance, health monitoring, and anomaly detection.
3. Online DL Techniques for Real-Time Processing
o Handle data latency.
o Manage missing or incomplete data.
o Ensure reliable real-time performance.
4. Development of Multiport Communication Systems for ADL
o Enable seamless communication between multiple devices and sensors.
o Support data exchange, control, and feedback loops in ADL environments.
5. DL-Based Artifact Reduction in Computer Vision
o Reduce visual artifacts in images/videos.
o Enhance applications in Industry 5.0 and smart cities.
Courses Taught
Positions Held
University of Engineering and Management, Kolkata
Associate Professor, Electrical & Electronics Engineering Division
18th September, 2023 to Present as Full-Time
2. Techno International Batanagar
Assistant Professor, EE Department
10th July, 2017 to 15th September as Full-Time
3. Gargi Memorial
Institute of Technology
Assistant Professor, EE Department
14th July, 2014 to 8th July, 2017 as Full-Time
Publications
S. Bhattacharyya, S., P. De, and A. Chatterjee, “Improved structural sparse representation and quantization constraint prior-based medical image compression artifact reduction: A gray wolf optimization-based approach,” Measurement Science and Technology, vol. 36, no. 11, p. 116011, 2025.
P. De, A. Rai, and A. Chatterjee, “Projected OMP Hybridized Discriminative K SVD based Dictionary Learning Algorithm for Human Activity Recognition from Accelerometer Signals”, IEEE Sensor Journal. vol. 24, no. 22, pp. 38222 - 38231, Sept. 2024.
P. De, A. Chatterjee and A. Rakshit “Hyperbolic Function based Hybrid Consistent Adaptive Sequential DL Algorithms for PIR Sensor based Intruder Detection”, IOP Science, vol.: 18, no. 7, July 2023
P. De, A. Chatterjee and A. Rakshit, “PIR-Sensor-Based Surveillance Tool for Intruder Detection in Secured Environment: A Label-Consistency-Based Modified Sequential Dictionary Learning Approach”, IEEE Internet of Things Journal, vol.: 9, no. 20, Oct. 2022
P. De, A. Chatterjee and A. Rakshit,” Regularized K-SVD based Dictionary Learning Approaches for PIR Sensor based Detection of Human Movement Direction”, IEEE Sensor Journal, vol. 21, no. 5, pp. 6459 - 6467, Mar. 2021.
P. De, A. Chatterjee and A. Rakshit, “PIR Sensor based AAL Tool for Human Movement Detection: Modified MCP based Dictionary Learning Approach”, IEEE Trans. Instrum. Meas., vol. 69, no. 10, pp. 7377-7385, Oct. 2020.
P. De, A. Chatterjee and A. Rakshit, “Recognition of Human Behavior for Assisted Living Using Dictionary Learning Approach”, IEEE Sensor Journal, vol. 18, no. 6, pp. 2434–2441, Mar. 2018
A. Rai, P. De, S. Ghosh, P. Paral, A. Chatterjee, and A. Rakshit, “Performance Comparison of K-SVD, Discriminative K-SVD, and Approximate K-SVD Dictionary Learning Algorithms for Public Road Type Recognition”, in Proc. 10th International Conference on Signal Processing and Communication (ICSC), Feb. 2025.
P. De, and A. Chatterjee, “An Intelligent Threshold Selection based Dictionary Learning with Structured Incoherence and Shared features for QCM Sensor Data based Alcohol Recognition”, in Proc. 6th International Conference on Emerging Technologies: Micro to Nano (ETMN), Nov. 2024.
S. Ghosh, P. Paral, P. De, A. Chatterjee, and S. Munshi, "Multi-color multi-shape visual cue recognition using a hybrid approach of cosine similarity based 2DLPP and granular computing," in Proc. Int. Conf. Rec. Adv. Artif. Intell. Smart Appl. (RAAISA), Dec. 2024.
P. De, A. Chatterjee, and A. Rakshit, “Label Consistency based Modified Sequential Dictionary Learning based Approach for PIR Sensor based Detection of Human Movement Direction”, in Computational Intelligence in Pattern Recognition (CIPR 2023), Springer, 2023.
P. De, A. Chatterjee, and A. Rakshit, “Human Behavior Recognition: An l1-ls KSVD-Based Dictionary Learning and Collaborative Representation Based Classification”, in Advances in Control, Signal Processing and Energy Systems, 1st Ed., Vol. 591, Tapan Kumar Basu, Swapan Kumar Goswami, and Nandita Sanyal, Ed. Singapore: Springer, 2018, pp. 97-105.
P. De, A. Chatterjee and A. Rakshit, “A Hybrid IRLS-KSVD based Dictionary Learning Algorithm for Human Behavior Recognition”, in Proc. IEEE Applied Signal Processing Conference (ASPCON), Kolkata, Dec. 2018.