Sheikh Shanawaz Mostafa
Biography
Sheikh Shanawaz Mostafa received a Ph.D. from Instituto Superior Técnico, of the University of Lisbon, Portugal, in 2020. Previously received the M.Sc. engineering degree from Khulna University of Engineering & Technology, Bangladesh, in 2012 and B.Sc. in engineering from the University of Khulna, Bangladesh, in 2010. He won several awards and funding. He worked on biomedical signals, image processing, and hardware implementation research projects. His research interests include biomedical signal processing, image processing, natural language processing, artificial neural networks, and hardware implementations.
Currently, he works as a postdoctoral research fellow in ITI with ARDITI. Previously he worked on several research projects such as vision 3D, Marítimo Training LAB ect.. Besides his personal research, he is currently precipitating in RRSO – Restaurant Review Sentiment Output; BASE – BAnana Sensing; Sentiment and Rating Understanding of Portuguese Review for Restaurants using Machine Learning and Natural Language Processing and Sleep Revolution project.
Related Projects
Publications
2018
Automatic Detection of a Phases for CAP Classification Proceedings Article
In: ICPRAM, pp. 394–400, SciTePress, 2018.
2017
A Method for Designing EMG Integrator using an FPGA Conference
2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI), 2017.
Full image-processing pipeline in field-programmable gate array for a small endoscopic camera Journal Article
In: Journal of Electronic Imaging, vol. 26, 2017.
A minimally invasive portable system for sleep apnea detection Conference
2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI), 2017.
Optimization of Sleep Apnea Detection using SpO2 and ANN Proceedings
IEEE, Sarajevo, Bosnia and Herzegovina, 2017.
SpO2 based Sleep Apnea Detection using Deep Learning Conference
21st International Conference on Intelligent Engineering Systems (INES 2017), IEEE IEEE, Larnaca, Cyprus., 2017.
Full image-processing pipeline in field-programmable gate array for a small endoscopic camera Journal Article
In: J. Electronic Imaging, vol. 26, no. 1, pp. 13005, 2017.
Optimization of sleep apnea detection using SpO2 and ANN Proceedings Article
In: ICAT, pp. 1–6, IEEE Computer Society, 2017.
A minimallyinvasive portable system for sleep apnea detection Proceedings Article
In: IWOBI, pp. 1–5, IEEE, 2017.
A Minimally Invasive Portable System for Sleep Apnea Detection Proceedings Article
In: IWOBI, pp. 1–5, IEEE, 2017.