The University of Southampton

Dr. Shre Kumar Chatterjee


Dr. Shre Kumar Chatterjee passed his B.Eng (Electronics and Communications) from Visvesvaraya Technological University, Belgaum, India in 2004. He worked as a trainee consultant and soon headed a newly formed division (which included training students in Microprocessor/Microcontroller programming etc., and liasing with corporates and educational organizations for recruitment of engineering graduates). Thereafter he pursued an MSc in Nanotechnology at University of Southampton during 2005-06. After the successful completion of his MSc, he was involved in several high profile projects in the industry in the microfabrication domain, specializing in Organic Thin Film Transistors (for active matrix flexible and rollable displays). In 2012, he left the industry to pursue a full time PhD under Dr Koushik Maharatna and Dr Srinandan Dasmahapatra to pursue his interests in Machine Learning and Signal Processing. 


Research interests

Application of Machine learning / Signal Processing techniques in health care domain and IoT based health care monitoring are my interests. 



B.Eng (Electronics and Communications)

MSc (Nanotechnology)



Chatterjee, Shre Kumar, Ghosh, Sanmitra, Das, Saptarshi, Manzella, Veronica, Vitaletti, Andrea, Masi, Elisa, Santopolo, Luisa, Mancuso, Stefano and Maharatna, Koushik (2014) Forward and inverse modelling approaches for prediction of light stimulus from electrophysiological response in plants. Measurement, 53, 101-116.

Chatterjee, Shre Kumar, Das, Saptarshi, Maharatna, Koushik, Masi, Elisa, Santopolo, Luisa, Mancuso, Stefano and Vitaletti, Andrea (2015) Exploring strategies for classification of external stimuli using statistical features of the plant electrical response. Journal of the Royal Society, Interface, 12 (104), 20141225. (doi:10.1098/rsif.2014.1225). (PMID:25631569)

Das, Saptarshi, Ajiwibawa, Barry Juans, Chatterjee, Shre Kumar, Ghosh, Sanmitra, Maharatna, Koushik, Dasmahapatra, Srinandan, Vitaletti, Andrea, Masi, Elisa and Mancuso, Stefano (2015) Drift removal in plant electrical signals via IIR filtering using wavelet energy. Computers and Electronics in Agriculture, 118, 15-23.

Biswas, Dwaipayan, Bono, Valentina and Scott-South, Michael et al. (2016) Analysing wireless EEG based functional connectivity measures with respect to change in environmental factors. At The IEEE International Conference on Biomedical and Health Informatics (BHI2016) The IEEE International Conference on Biomedical and Health Informatics (BHI2016), United States. 25 - 27 Feb 2016. pp. 1-4.

Snow, Stephen, Gough, Hannah, Chatterjee, Shre, Soska, Anna and schraefel, m.c. (2016) Exploring the influence of social factors on indoor environment quality. Indoor Air, 1-8.

Snow, Stephen, Soska, Anna, Chatterjee, Shre and schraefel, monica (2016) Keep calm and carry on: exploring the social determinants of indoor environment quality. In CHI EA '16 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM. 0 pp, pp. 1476-1482. (doi:10.1145/2851581.2892490).

Chatterjee, Shre Kumar, Das, Saptarshi, Maharatna, Koushik, Masi, Elisa, Santopolo, Luisa, Colzi, Ilaria, Mancuso, Stefano and Vitaletti, Andrea (2017) Comparison of decision tree based classification strategies to detect external chemical stimuli from raw and filtered plant electrical response. Sensors and Actuators B: Chemical, 249, 278-295. (doi:10.1016/j.snb.2017.04.071).

Chatterjee, Shre (2017) An approach towards plant electrical signal based external stimuli monitoring system. University of Southampton, Doctoral Thesis, 262pp.

Chatterjee, Shre Kumar, Malik, Obaid and Gupta, Siddharth (2018) Chemical sensing employing plant electrical signal response-classification of stimuli using curve fitting coefficients as features. Biosensors, 8 (3). (doi:10.3390/bios8030083).



Fax: +44 (0)23 8059 3045

Additional contact details

Dr. Shre Kumar Chatterjee

B.Eng, MSc, PhD

Cyber Physical Systems (CPS) Group,

Faculty of Physical Sciences and Engineering (FPSE),

Mountbatten 53/4033, Bay 2,

School of Electronics and Computer Science,

University of Southampton,

Southampton SO17 1BJ



Tel:  +44 (0)23 8059 4506

Fax:  +44 (0)23 8059 3045


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