Dr Sharnil Pandya

Assistant Professor

School: Computer Science

Sharnil Pandya is an Assistant Professor in Computer and Information Sciences at Northumbria University. He earned his doctorate in the field of the Internet of Things and a master's in information technology from Swinburne University, Australia. With 15 years of teaching experience, he has instructed various subject modules in AI & Data Science, IoT and Embedded Systems. His research interests encompass AI for Sensors and information processing, AI for Wellness, AI for Acoustics, and AI for Computer Vision. He is particularly passionate about interdisciplinary research and projects, with over 90 papers published or presented in esteemed international conferences and scientific journals along with 4 published and 1 granted patents. Sharnil Pandya is the recipient of the prestigious Marie Skłodowska-Curie postdoc Fellowship for the year 2021 and has also secured a notable € 222,727,68 research project grant as a co-investigator, sponsored by the European Union's Horizon 2020 program. Furthermore, he has also received a KMDT Research grant of 100,000 SEK in the domain of heartbeat Classification and another 100,000 EUR research grant from Disability Research Centre, King Saud University in the domain of elderly ADLs monitoring and Dementia. Additionally, he serves as a reviewer for esteemed journals such as IEEE Transactions on Industrial Electronics, IEEE Internet of Things, Scientific Reports, Nature, and IEEE Sensors, and works as an academic editor for venues including JBHI, Sensors, Electronics, Journal of Healthcare Engineering, Frontiers in Computer Science, and IEEE Sensors. His primary research areas include AI for Sensors and information processing, AI for Wellness, AI for Acoustics, and AI for Computer Vision.

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Research Themes and Scholarly Interests

AI for Acoustics, AI for Sensors and Information Processing, AI for Wellness, and AIoMT.

Key Publications

Please visit the Pure Research Information Portal for further information
InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events, Pandya, S., Gadekallu, T., Reddy, P., Wang, W., Alazab, M. 1 Jun 2024, In: IEEE Transactions on Computational Social Systems
Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence, Pandya, S., Ghayvat, H. Jan 2021, In: Advanced Engineering Informatics
COUNTERSAVIOR: AIoMT and IIoT-Enabled Adaptive Virus Outbreak Discovery Framework for Healthcare Informatics, Pandya, S., Ghayvat, H., Reddy, P., Gadekallu, T., Khan, M., Kumar, N. 1 Mar 2023, In: IEEE Internet of Things Journal
Tear film breakup time-based dry eye disease detection using convolutional neural network, Vyas, A., Mehta, M., Kotecha, K., Pandya, S., Alazab, M., Gadekallu, T. 1 Jan 2024, In: Neural Computing and Applications
STRENUOUS: Edge-Line Computing, AI, and IIoT Enabled GPS Spatiotemporal Data-Based Meta-Transmission Healthcare Ecosystem for Virus Outbreaks Discovery, Ghayvat, H., Pandya, S., Awais, M., Dev, K. 15 Feb 2023, In: IEEE Internet of Things Journal
FVEstimator: A novel food volume estimator Wellness model for calorie measurement and healthy living, Kadam, P., Pandya, S., Phansalkar, S., Sarangdhar, M., Petkar, N., Kotecha, K., Garg, D. 1 Jul 2022, In: Measurement: Journal of the International Measurement Confederation
CP-BDHCA: Blockchain-Based Confidentiality-Privacy Preserving Big Data Scheme for Healthcare Clouds and Applications, Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M., Rashid, M., Hakak, S., Dev, K. 1 May 2022, In: IEEE Journal of Biomedical and Health Informatics
AI-enabled radiologist in the loop: novel AI-based framework to augment radiologist performance for COVID-19 chest CT medical image annotation and classification from pneumonia, Ghayvat, H., Awais, M., Bashir, A., Pandya, S., Zuhair, M., Rashid, M., Nebhen, J. 1 Jul 2023, In: Neural Computing and Applications
ReCognizing SUspect and PredictiNg ThE SpRead of Contagion Based on Mobile Phone LoCation DaTa (COUNTERACT): A system of identifying COVID-19 infectious and hazardous sites, detecting disease outbreaks based on the internet of things, edge computing, and artificial intelligence, Ghayvat, H., Awais, M., Gope, P., Pandya, S., Majumdar, S. 1 Jun 2021, In: Sustainable Cities and Society