Sharnil Pandya

Sharnil Pandya

Researcher
Department of Computer Science and Media Technology Faculty of Technology
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Teaching

Teaching Experience: I have more than 12 years of teaching experience and have served at various institutions as Associate Professor, and Assistant Professor positions. 

Subjects Taught:

Internet of Things, Wireless Sensors Network, Embedded Systems, Digital Signal Processing, Computer Vision(Image Processing), Machine Learning, Deep Learning, Artificial Intelligence.

Research

Interests:

  • Acoustics and Sound
  • Digital Enhanced Living
  • Behavioral pattern generation and Anomaly Detection
  • Image processing for the healthcare
  • Assistive Technology for wellness
  • Intelligent Non-Speech Audio Assistance
  • Neonatal Preventive Healthcare Monitoring
  • Transfer Learning
  • HL7 Version 2, Clinical Document Architecture (CDA) & Fast Health Interoperability Resources (FHIR)

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

Article in journal (Refereed)

Pandya S., R. Gadekallu, P. K. Reddy, W. Wang and M. Alazab, "InfusedHeart: A Novel Knowledge-Infused Learning Framework for Diagnosis of Cardiovascular Events," IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2022.3151643.

Ghayvat, H., Pandya, S., Bhattacharya, P., Zuhair, M. et al., CP-BDHCA: Blockchain- based Confidentiality-Privacy preserving Big Data scheme for healthcare clouds and applications, IEEE Journal of Biomedical and Health Informatics(J-BHI), doi: 1109/JBHI.2021.3097237.

Ghayvat, H., Awais, M., Bashir, Pandya S., K. et al. 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. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-07055-1.

Ghayvat, H., Pandya, S., M. Awais, K. Dev, “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, doi: 10.1109/JIOT.2022.3147428.

Vyas, A. H., Mehta, M. A., Kotecha, K., Pandya, S., Alazab, M., & Gadekallu, T. R. (2022). Tear film breakup time-based dry eye disease detection using convolutional neural network. Neural Computing and Applications, 1-19.https://doi.org/10.1007/s00521-022-07652-0

Arikumar, K.S.; Prathiba, S.B.; Alazab, M.; Gadekallu, T.R.; Pandya, S.; Khan, J.M.; Moorthy, R.S. FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Sensors 2022, 22, 1377. https://doi.org/10.3390/s22041377 

Parimala Boobalan, Swarna Priya Ramu, Quoc-Viet Pham, Kapal Dev, Sharnil Pandya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Thien Huynh-The, Fusion of Federated Learning and Industrial Internet of Things: A survey, Computer Networks, Volume 212, 2022, 109048, Elsevier.

Patil S, Pandya S. “Forecasting Dengue Hotspots Associated with Variation in Meteorological Parameters Using Regression and Time Series Models.” Frontiers in public health. 2021;9. 

Pandya Sharnil, Sur, A, Solke, N, COVIDSAVIOUR: A Novel Sensor-Fusion and Deep Learning-Based Framework for Virus Outbreaks, Frontiers in Public Health, doi: 10.3389/fpubh.2021.797808

Pandya, S. and Ghayvat, H., Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence. Advanced Engineering Informatics, 47, p.1012, 2021, Elsevier.

Ghayvat, H., Awais, M., Gope, P., Pandya, S. and 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, p.102798, Elsevier. 

Pandya, Sharnil, Aanchal Thakur, Santosh Saxena, Nandita Jassal, Chirag Patel, Kirit Modi, Pooja Shah, Rahul Joshi, Sudhanshu Gonge, Kalyani Kadam, and Prachi Kadam. A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions, Sensors, 2021, 23: 7786. https://doi.org/10.3390/s21237786.

Prachi Kadam, Sharnil Pandya, Shraddha Phansalkar, Mayur Sarangdhar, Nayana Petkar, Ketan Kotecha, Deepak Garg,
FVEstimator: A novel food volume estimator Wellness model for calorie measurement and healthy living, Measurement, Volume 198, 2022, 111294,

Abolfazl Mehbodniya, L. Arokia Jesu Prabhu, Julian L. Webber, Dilip Kumar Sharma, Pandya, Sharnil, Fetal Health Classification from Cardiotocographic Data Using Machine Learning, Expert Systems, Wiley,

Mishra, N. and Pandya, S. Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review, IEEE Access, April 2021. 

Nivedita Mishra, Pandya, Sharnil Chirag Patel et al. Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT applications”, Sensors, 2022.

Shah A, Ahirrao S, Pandya S, Kotecha K and Rathod S, Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk, Frontiers in Public Health, doi: 10.3389/fpubh.2021.762303

Sushruta Mishra,Hrudaya Kumar Tripathy,Hiren Kumar Thakkar,Deepak Garg,Ketan Kotecha*,Sharnil Pandya, An Explainable Intelligence Driven Query Prioritization using Balanced Decision Tree Approach for Multi Level Psychological Disorders Assessment, Frontiers in Public Health, 2021 doi: 3389/fpubh.2021.797808 

Ghayvat, ; Awais, M.; Pandya, S.; Ren, H.; Akbarzadeh, S.; Chandra Mukhopadhyay, S.; Chen, C.; Gope, P.; Chouhan, A.; Chen, W. Smart Aging System: Uncovering the Hidden Wellness  Parameter   for   Well-Being   Monitoring   and   Anomaly Detection. Sensors, 19, 766. [IF: 3.5]

Pandya, S, Sur, A. and Kotecha, K., "Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection", International Journal of Pervasive Computing and Communications, Emerald Publishing.

Srivastava, A., Jain, S., Miranda, R., Patil, S., Pandya, S., Kotecha K. 2021. Deep learning-based respiratory sound analysis for detection of chronic obstructive pulmonary PeerJ Computer Science 7:e369. ]

Karn, A.L., Pandya, S., Mehbodniya, A. et al. An integrated approach for sustainable development of wastewater treatment and management system using IoT in smart Soft Computing, Springer, 2021. https://doi.org/10.1007/s00500-021-06244-9.

Pandya, S., Ghayvat, H., Sur, A., Awais, M., Kotecha, K., Saxena, S., Jassal, N., Pingale, G. Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Sensors, 2020, 20, 5448.

Awais, , Ghayvat, H., Krishnan Pandarathodiyil, A., Nabillah Ghani, W.M., Ramanathan, A., Pandya, S., Walter, N., Saad, M.N., Zain, R.B., Faye, I. 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, 2020, 20, 5780. 

Patel, C.I., Labana, D., Pandya, S., Modi, K., Ghayvat, H. and Awais, M., 2020. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sensors, 20(24), p.7299. [IF: 3.5]

Pandya, , Ghayvat, H.; Kotecha, K.; Awais, M.; Akbarzadeh, S.; Gope, P.; Mukhopadhyay, S.C.; Chen, W. Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol. Appl. Syst. Innov.

Barot, V., Kapadia, V., & Pandya, S., QoS Enabled IoT Based Low Cost Air Quality Monitoring System with Power Consumption Optimization, Cybernetics and Information Technologies, 2020, 20(2), 122-140, Bulgarian Academy of Science. 

Pandya, S., Wakchaure MA, Shankar R, Annam JR. Analysis of NOMA-OFDM 5G wireless system using deep neural network. The Journal of Defense Modeling.

Mehta P, Pandya S., Kotecha K. 2021. Harvesting social media sentiment analysis to enhance stock market prediction using deep learning, PeerJ Computer Science 7:e369. 

Sur S., Pandya, S., Ramesh P. Sah, Ketan Kotecha & Swapnil Narkhede, Influence of bed temperature on performance of silica gel/methanol adsorption refrigeration system at adsorption equilibrium, Particulate Science.

Sur, A., Sah, R., Pandya, S., Milk storage system for remote areas using solar thermal energy and adsorption cooling, Materials Today, Volume 28, Part 3,

Conference Papers:

Ghayvat, Pandya, S., and A. Patel, "Deep Learning Model for Acoustics Signal Based Preventive Healthcare Monitoring and Activity of Daily Living," 2nd International Conference on Data, Engineering and Applications (IDEA), Bhopal, India, 2020, pp. 1-7, doi: 10.1109/IDEA49133.2020.9170666

Pandya, S., Shah, J., Joshi, N., Ghayvat, H., Mukhopadhyay, S.C. and Yap, M.H., 2016, A novel hybrid based recommendation system based on clustering and association mining. In Sensing Technology (ICST), 2016 10th International Conference on (pp. 1-6). IEEE.

Pandya, S., W. Patel, H. Ghayvat, “NXTGeUH: Ubiquitous Healthcare System for Vital Signs Monitoring & Falls Detection”, IEEE International Conference, Symbiosis International University, December

Garg D., Patel P., Pandya, S., K. Kotecha, “A Deep Learning Approach for Face Detection using YOLO”, IEEE International Conference, Symbiosis International university, December

Ghayvat, , Pandya, S., “Wellness Sensor Network for modeling Activity of Daily Livings– Proposal and Off-Line Preliminary Analysis” IEEE International Conference, Galgotias University, New Delhi, December 2018.

Pandya, S., Ghayvat, H., Shah, J., Joshi, N., A Novel Hybrid based Recommendation System based on Clustering and Association Mining, 10th IEEE International Conference on Sensing technology and Machine Intelligence (ICST-2016), Nanjing, China, November

Pandya, S., W. Patel, An Adaptive Approach towards designing a Smart Health-care Real-Time Monitoring System based on IoT and Data Mining, 3rd IEEE International Conference on Sensing technology and Machine Intelligence (ICST- 2016), Dubai, November

Pandya, S., Ghayvat, H., Kotecha, K., Wandra, K., Advanced AODV Approach For Efficient Detection And Mitigation Of WORMHOLE Attack IN MANET, 10th IEEE International Conference on Sensing technology and Machine Intelligence (ICST-2016), Nanjing, China, November

Pandya, S., H. Dandvate ―New Approach for frequent item set generation based on Mirabit Hashing Algorithm‖, IEEE International Conference on Inventive Computation technologies (ICICT), 26 August, India,

Pandya, , Patel, W., Mistry, V., i-MsRTRM: Developing an IoT based iNTELLIGENT Medicare System for Real-time Remote Health Monitoring, 8th IEEE International Conference on Computational Intelligence and Communications Networks (CICN-2016), Tehari, India, 23-25th December 2016.

Pandya, , Shah, J., Joshi, N., Ghayvat, H., Mukhopadhyay, S.C. and Yap, M.H., 2016, November. A novel hybrid based recommendation system based on clustering and association mining. In Sensing Technology (ICST), 2016 10th International Conference on (pp. 1-6). IEEE.

Shah, J., Pandya, S., N. Joshi, K. Kotecha, D. B. Choksi, Load Balancing in Cloud Computing: Methodological Survey on Different Types of Load Balancing Algorithms‖, IEEE International Conference on Trends in Electronis and Informatics, Tamilnadu, India, May

Pandya, , Vyas, D. and Bhatt, D., A Survey on Various Machine Learning Techniques‖, International Conference on Emerging trends in Scientific Research (ICETSR-2015), ISBN no: 978-81-92346-0-5, 2015.

Pandya, S., Wandra, K., Shah, J., A Hybrid Based Recommendation System to overcome the problem of sparcity‖, International Conference on emerging trends in scientific research, December,

Vyas, , Pandya, S., A Survey on Various Issues in Wireless Sensor Networks, National Conference on Computer Science& Security (COCSS-2013), ISBN no: 978-81-92346-0-5.

Book Chapters

Pandya et al. (2021) Precision Agriculture: Methodologies, Practices and Applications. In: Singh P.K., Wierzchoń S.T., Tanwar S., Ganzha M., Rodrigues J.J.P.C. (eds) Proceedings of Second International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 203. Springer, Singapore. https://doi.org/10.1007/978-981-16-0733- 2_12

Pandya et al. (2021) A Novel Multicast Secure MQTT Messaging Protocol Framework for IoT- Related Issues. In: Singh P.K., Wierzchoń S.T., Tanwar S., Ganzha M., Rodrigues J.J.P.C. (eds) Proceedings of Second International Conference on Computing, Communications, and Cyber- Security. Lecture Notes in Networks and Systems, vol 203. Springer, Singapore. https://doi.org/10.1007/978-981-16-0733-2_24

Pandya et al. (2021) Smart Aging Wellness Sensor Networks: A Near Real-Time Daily Activity Health Monitoring, Anomaly Detection and Alert System. In: Singh P.K., Wierzchoń S.T., Tanwar S., Ganzha M., Rodrigues J.J.P.C. (eds) Proceedings of Second International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 203. Springer, Singapore. https://doi.org/10.1007/978-981-16-0733-2_

Rashmi W., Mahesh V., Anirban S., Sharnil P., Khalid M. (2021) Hybrid Solar PVT Systems for Thermal Energy Storage: Role of Nanomaterials, Challenges, and Opportunities. In: Tripathi D., Sharma R.K. (eds) Energy Systems and Nanotechnology. Advances in Sustainability Science and Springer, Singapore. https://doi.org/10.1007/978-981-16-1256-5_9