Sharnil Pandya
Researcher
Department of Computer Science and Media Technology
Faculty of Technology
Sharnil Pandya is a Researcher at the Department of Computer Science and Media Technology, Linnéuniversitetet, Sweden. He has done his doctorate in the domain of Internet of Things and Masters in Infomation Technology from Swinburne University, Australia. He has teaching experience of 12 years and various subjects in the domain of AI & Datascience and Embedded systems. His research interests include AI for Sensors and and Infomation Processing, AI for Wellness, AI for Acoustics and AI for Computer Vision. He has a special interest in inter-disciplinary research and projects. He has more than 90 papers published/presented in reputed international conferences and Sci journals to his credit and 4 published patents.
Sharnil Pandya is a winner of prestigious Marie Skłodowska-Curie postdoc Fellowship for the year 2022. He has received prestigious Horizon 2020 research project grant of € 222,727,68 as a co-Investigator, sponsored by European Union. He is also a reviewer for reputed journals such as, IEEE Transactions on Industrial Electronics, IEEE Internet of things, Scientific Reports, Nature, IEEE Sensors and serving as academic editor in venues such as JBHI, Sensors, Electronics, Journal of Healthcare Engineering, Frontiers in Computer Science, IEEE Sensors, etc.
Research Area: AI for Sensors and and Infomation Processing, AI for Wellness, AI for Acoustics and AI for Computer Vision.
DBLP
Scopus
Teaching
Subjects Taught:
Introduction to Data Science, Deep Learning - an introduction, Project with Embedded System, Computer Vision, AI in Health, Speech and Audio Technology, Embedded Technology for IoT.
Research
Research Projects
Currently I am working as a Co-Investogator on the Horizon 2022 project titiled "A Novel Framework for Contactless Diagnosis and Forecasting of Cardiovascular Diseases". The project has received a research grant fund of € 222,727,68 from the EU.
CORDIS Project Link: https://cordis.europa.eu/project/id/101065536
My ongoing research projects
Publications
Article in journal (Refereed)
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Vyas, A.H., Mehta, M.A., Kotecha, K., Pandya, S., Alazab, M., et al. (2024). Tear film breakup time-based dry eye disease detection using convolutional neural network. Neural Computing & Applications. 36. 143-161.
Status: Published -
Pandya, S., Ghayvat, H., Reddy, P.K., Gadekallu, T.R., Khan, M.A., et al. (2023). COUNTERSAVIOR : AIoMT and IIoT enabled Adaptive Virus Outbreak Discovery Framework for Healthcare Informatics. IEEE Internet of Things Journal. 10 (4). 4202-4212.
Status: Published -
Jasmine Pemeena Priyadarsini, M., Kotecha, K., Rajini, G.K., Hariharan, K., Utkarsh Raj, K., et al. (2023). Lung Diseases Detection Using Various Deep Learning Algorithms. Journal of Healthcare Engineering. 2023.
Status: Published -
Pandya, S., Srivastava, G., Jhaveri, R., Babu, M.R., Bhattacharya, S., et al. (2023). Federated learning for smart cities : A comprehensive survey. Sustainable Energy Technologies and Assessments. 55.
Status: Published -
Ghayvat, H., Pandya, S., Awais, M., Dev, K. (2023). STRENUOUS : Edge-Line Computing, AI, and IIoT Enabled GPS Spatiotemporal Data-Based Meta-Transmission Healthcare Ecosystem for Virus Outbreaks Discovery. IEEE Internet of Things Journal. 10 (4). 3285-3294.
Status: Published -
Rajput, V., Mulay, P., Pandya, S., Mahajan, C., Deshpande, R. (2023). Blood Pressure Estimation Using Emotion-Based Optimization Clustering Model. Acta Informatica Pragensia. 12 (1). 123-140.
Status: Published -
Javed, A.R., Ahmed, W., Pandya, S., Maddikunta, P.K.R., Alazab, M., et al. (2023). A Survey of Explainable Artificial Intelligence for Smart Cities. Electronics. 12 (4).
Status: Published -
Karn, A.L., Pandya, S., Mehbodniya, A., Arslan, F., Sharma, D.K., et al. (2023). An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart cities. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 27. 5159-5175.
Status: Published -
Arikumar, K.S., Prathiba, S.B., Alazab, M., Gadekallu, T.R., Pandya, S., et al. (2022). FL-PMI : Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems. Sensors. 22 (4).
Status: Published -
Pandya, S., Gadekallu, T.R., Maddikunta, P.K.R., Sharma, R. (2022). A Study of the Impacts of Air Pollution on the Agricultural Community and Yield Crops (Indian Context). Sustainability. 14 (20).
Status: Published -
Pandya, S., Gadekallu, T.R., Reddy, P.K., Wang, W., Alazab, M. (2022). InfusedHeart : A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events. IEEE Transactions on Computational Social Systems. 1-10.
Status: Epub ahead of print -
Boobalan, P., Ramu, S.P., Pham, Q., Dev, K., Pandya, S., et al. (2022). Fusion of Federated Learning and Industrial Internet of Things : A survey. Computer Networks. 212.
Status: Published -
Kadam, P., Pandya, S., Phansalkar, S., Sarangdhar, M., Petkar, N., et al. (2022). FVEstimator : A novel food volume estimator Wellness model for calorie measurement and healthy living. Measurement. 198.
Status: Published -
Mishra, S., Tripathy, H.K., Kumar Thakkar, H., Garg, D., Kotecha, K., et al. (2021). An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment. Frontiers In Public Health. 9.
Status: Published -
Srivastava, A., Jain, S., Miranda, R., Patil, S., Pandya, S., et al. (2021). Deep learning based respiratory sound analysis for detection of chronic obstructive pulmonary disease. PeerJ Computer Science. 7.
Status: Published -
Mehta, P., Pandya, S., Kotecha, K. (2021). Harvesting social media sentiment analysis to enhance stock market prediction using deep learning. PeerJ Computer Science. 7.
Status: Published -
Mishra, N., Pandya, S., Patel, C., Cholli, N., Modi, K., et al. (2021). Memcached : An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications. Sensors. 21 (23).
Status: Published -
Shah, A., Ahirrao, S., Pandya, S., Kotecha, K., Rathod, S. (2021). Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk. Frontiers In Public Health. 9.
Status: Published -
Mehbodniya, A., Lazar, A.J.P., Webber, J., Sharma, D.K., Jayagopalan, S., et al. (2021). Fetal health classification from cardiotocographic data using machine learning. Expert systems (Print). 39 (6).
Status: Published -
Patil, S., Pandya, S. (2021). Forecasting Dengue Hotspots Associated With Variation in Meteorological Parameters Using Regression and Time Series Models. Frontiers In Public Health. 9.
Status: Published -
Ghayvat, H., Awais, M., Gope, P., Pandya, S., Majumdar, S. (2021). 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. Sustainable cities and society. 69.
Status: Published -
Pandya, S., Wakchaure, M.A., Shankar, R., Annam, J.R. (2021). Analysis of NOMA-OFDM 5G wireless system using deep neural network. The Journal of Defence Modeling and Simulation : Applications, Methodology, Technology. 19 (4). 799-806.
Status: Published -
Pandya, S., Thakur, A., Saxena, S., Jassal, N., Patel, C., et al. (2021). A Study of the Recent Trends of Immunology : Key Challenges, Domains, Applications, Datasets, and Future Directions. Sensors. 21 (23).
Status: Published -
Pandya, S., Sur, A., Solke, N. (2021). COVIDSAVIOR : A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks. Frontiers In Public Health. 9.
Status: Published -
Mishra, N., Pandya, S. (2021). Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions : A Systematic Review. IEEE Access. 9. 59353-59377.
Status: Published -
Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., et al. (2020). Pollution Weather Prediction System : Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living. Sensors. 20 (18).
Status: Published -
Sur, A., Pandya, S., Sah, R.P., Kotecha, K., Narkhede, S. (2020). Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium. Particulate Science and Technology. 39 (5). 624-631.
Status: Published -
Pandya, S., Sur, A., Kotecha, K. (2020). Smart epidemic tunnel : IoT-based sensor-fusion assistive technology for COVID-19 disinfection. International Journal of Pervasive Computing and Communications. 18 (4). 376-387.
Status: Published -
Awais, M., Ghayvat, H., Krishnan Pandarathodiyil, A., Nabillah Ghani, W.M., Ramanathan, A., et al. (2020). Healthcare Professional in the Loop (HPIL) : Classification of Standard and Oral Cancer-Causing Anomalous Regions of Oral Cavity Using Textural Analysis Technique in Autofluorescence Imaging. Sensors. 20 (20).
Status: Published -
Barot, V., Kapadia, V., Pandya, S. (2020). QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization. Cybernetics and Information Technologies. 20 (2). 122-140.
Status: Published -
Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H., et al. (2020). Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences. Sensors. 20 (24).
Status: Published -
Ghayvat, H., Awais, M., Pandya, S., Ren, H., Akbarzadeh, S., et al. (2019). Smart Aging System : Uncovering the Hidden Wellness Parameter for Well-Being Monitoring and Anomaly Detection. Sensors. 19 (4).
Status: Published -
Pandya, S., Ghayvat, H., Kotecha, K., Awais, M., Akbarzadeh, S., et al. (2018). Smart Home Anti-Theft System : A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Applied System Innovation. 1.
Status: Published
Conference paper (Refereed)
- Sur, A., Sah, R.P., Pandya, S. (2020). Milk storage system for remote areas using solar thermal energy and adsorption cooling. 2020 International Conference on Aspects of Materials Science and Engineering, ICAMSE, Chandigarh, 29 - May, 2020. 1764-1770.
- Ghayvat, H., Pandya, S., Patel, A. (2020). Deep Learning Model for Acoustics Signal Based Preventive Healthcare Monitoring and Activity of Daily Living. 2nd International Conference on Data, Engineering and Applications, IDEA 2020.
- Patel, W.D., Pandya, S., Koyuncu, B., Ramani, B., Bhaskar, S., et al. (2018). NXTGeUH : LoRaWAN based NEXT Generation Ubiquitous Healthcare System for Vital Signs Monitoring & Falls Detection. 1st International Conference on Data Science and Analytics, PuneCon 2018 - Proceedings.
- Pandya, S., Shah, J., Joshi, N., Ghayvat, H., Mukhopadhyay, S.C., et al. (2016). A novel hybrid based recommendation system based on clustering and association mining. Proceedings of the International Conference on Sensing Technology, ICST.