Dr Soumya Rana


NameDr Soumya Rana
Job titleResearch Associate
Organisational UnitElectrical and Electronic Engineering
ORCIDhttps://orcid.org/0000-0002-8014-8122

Research outputs

Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data.

Rana, S., Dey, M., Loretoni, Riccardo, Duranti, Michele, Sani, Lorenzo, Vispa, Alessandro, Ghavami, M., Dudley, Sandra and Tiberi, Gianluigi (2021). Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data. Diagnostics. 11 (10). https://doi.org/diagnostics11101930

Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network

Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2021). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. London South Bank University. https://doi.org/10.18744/lsbu.8xz49

Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning

Dey, M., Rana, S., Simmons, Clarke V. and Dudley-Mcevoy, S. (2021). Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning. Applied Energy. 303, p. 117656. https://doi.org/10.1016/j.apenergy.2021.117656

Automated terminal unit performance analysis employing x-RBF neural network and associated energy optimisation – A case study based approach

Dey, M., Rana, S. and Dudley-Mcevoy, S. (2021). Automated terminal unit performance analysis employing x-RBF neural network and associated energy optimisation – A case study based approach. Applied Energy. 298, p. 117103. https://doi.org/10.1016/j.apenergy.2021.117103

3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon

Rana, S., Dey, M., Ghavami, M. and Dudley-McEvoy, S. (2021). 3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon. IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3069044

A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building

Dey, M, Rana, SP and Dudley, S (2020). A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building. Smart Cities. 3 (2), pp. 401-419. https://doi.org/10.3390/smartcities3020021

ITERATOR: A 3D Gait Identification from IR-UWB Technology

Rana, S., Dey, M, Ghavami, M and Dudley, S (2019). ITERATOR: A 3D Gait Identification from IR-UWB Technology. International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019). Berlin, Germany 23 - 27 Jul 2019

Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data

Rana, S., Dey, M, Tiberi, G, Sani, L, Vispa, A, Raspa, G, Duranti, M, Ghavami, M and Dudley, S (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports. 9, p. 10510. https://doi.org/10.1038/s41598-019-46974-3

Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor

Rana, S., Dey, M, Ghavami, M and Dudley-McEvoy, S (2019). Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2926238

A robust FLIR target detection employing an auto-convergent pulse coupled neural network

Dey, M., Rana, S.P. and Siarry, P. (2019). A robust FLIR target detection employing an auto-convergent pulse coupled neural network. Remote Sensing Letters. 10 (7), pp. 639-648. https://doi.org/10.1080/2150704x.2019.1597296

Signature Inspired Home Environments Monitoring System using IRUWB Technology

Dudley, S, Rana, S., Dey, M and Ghavami, M (2019). Signature Inspired Home Environments Monitoring System using IRUWB Technology. MPDI Sensors. 19 (2), p. 385. https://doi.org/10.3390/s19020385

Boosting content based image retrieval performance through integration of parametric & nonparametric approaches

Rana, S., Dey, M. and Siarry, P. (2019). Boosting content based image retrieval performance through integration of parametric & nonparametric approaches. Journal of Visual Communication and Image Representation. 58, pp. 25-219. https://doi.org/10.1016/j.jvcir.2018.11.015

Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System

Dudley, S, Dey, M and Rana, S. (2018). Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System. IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2018). Volos, Greece 05 - 07 Nov 2018

A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building

Rana, S., Dey, M and Dudley, S (2018). A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building. Sensors. 18 (11), pp. 1-15. https://doi.org/10.3390/s18113766

Remote Vital Sign Recognition Through Machine Learning Augmented UWB

Dudley, S, Rana, S., Dey, M, Brown, R and Siddiqui, H (2018). Remote Vital Sign Recognition Through Machine Learning Augmented UWB. European Conference on Antennas and Propagation. Excel London, Docklands 09 - 13 Apr 2018 London South Bank University. https://doi.org/10.1049/cp.2018.0978

Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis

Dudley, S, Dey, M and Rana, S. (2018). Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis. Future Generation Computer Systems. 108, pp. 950-966. https://doi.org/10.1016/j.future.2018.02.019

A PID Inspired Feature Extraction for HVAC Terminal Units

Dey, M, Gupta, M, Rana, S., Turkey, M and Dudley, S (2017). A PID Inspired Feature Extraction for HVAC Terminal Units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE).

UWB Localization Employing Supervised Learning Method

Rana, S., Dey, M., Siddiqui, H., Tiberi, G., Ghavami, M. and Dudley, S (2017). UWB Localization Employing Supervised Learning Method. IEEE International Conference on Ubiquitous Wireless Broadband 2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICUWB.2017.8250971
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