Research output per year
Research output per year
Personal profile
Biography
Bharat Lal (Senior Member, IEEE) received the B.Eng. degree in electronics engineering and the M.Eng. degree in automation and control from the Mehran University of Engineering and Technology, Jamshoro, Pakistan, in 2016 and 2018, respectively, and the Ph.D (Hons.) degree in information and communication technologies from the University of Calabria, Rende, Italy, in 2025. He is currently a MSCA Postdoctoral Research Fellow at the CÚRAM, Research Ireland Centre for Medical Devices, University of Galway, Galway, Ireland. His research interests include compressive sensing, digital healthcare, wearable computing, IoT, embedded systems design, and signal processing.
Education/Academic qualification
PhD, M.E., B.E.
Keywords
- TK Electrical engineering. Electronics Nuclear engineering
- Compressed Sensing
- Signal Processing
- digital healthcare
- Embedded System Design
- Biomedical Signal Processing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Efficient ECG compression and reconstruction via deep compressive sensing and hardware-efficient models
Lal, B., Ajbani, M., Sodhro, A. H., Gravina, R. & O'Keeffe, D., Jul 2026, In: Array. 30, 100791.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Open AccessFile8 Downloads (Pure) -
Compressed Learning for Real-Time ECG Signals Classification
Lal, B., Abolghasemi, V., Gravina, R., O'Keeffe, D. & Roshan, D., 2026, (Accepted/In press) In: IEEE Sensors Journal.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Open AccessFile1 Citation (Scopus)2 Downloads (Pure) -
A Novel Compressive Sensing Method for Secure and Energy Efficient ECG Signal Transmission Applications
Spagnolo, F., Lal, B., Corsonello, P. & Gravina, R., 2025, In: IEEE Journal of Biomedical and Health Informatics. 29, 5, p. 3439-3450 12 p.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
7 Citations (Scopus) -
Data-driven compressive sensing approach for ECG signals in IoT healthcare applications
Lal, B., Corsonello, P. & Gravina, R., Sept 2025, In: Internet of Things (The Netherlands). 33, 101690.Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review
Open Access4 Citations (Scopus) -
ECG Compressed Measurements and Fast Reconstruction with Sparse Sensing Matrix and Lightweight Neural Network
Lal, B. & Gravina, R., 2025, 20th Edition of the IEEE International Symposium on Medical Measurements and Applications, MeMeA 2025 - Proceedings. 2025 ed. Institute of Electrical and Electronics Engineers Inc.Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review