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
2023
Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review Journal Article
In: Sensors, vol. 23, no. 2, pp. 738, 2023.
A-phase index: an alternative view for sleep stability analysis based on automatic detection of the A-phases from the cyclic alternating pattern Journal Article
In: Sleep, vol. 46, no. 1, pp. zsac217, 2023.
Visual Explanations of Deep Learning Architectures in Predicting Cyclic Alternating Patterns Using Wavelet Transforms Journal Article
In: Electronics, vol. 12, no. 13, pp. 2954, 2023.
Automated Aviation Wind Nowcasting: Exploring Feature-Based Machine Learning Methods Journal Article
In: Applied Sciences, vol. 13, no. 18, pp. 10221, 2023.
The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review Journal Article
In: Computers, vol. 12, no. 10, pp. 206, 2023.
2022
Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection Journal Article
In: Entropy, vol. 24, no. 5, pp. 688, 2022.
Automatic detection of cyclic alternating pattern Journal Article
In: Neural Comput. Appl., vol. 34, no. 13, pp. 11097–11107, 2022.
ProBoost: a Boosting Method for Probabilistic Classifiers Journal Article
In: CoRR, vol. abs/2209.01611, 2022.
Variational Autoencoder Kernel Interpretation and Selection for Classification Journal Article
In: CoRR, vol. abs/2209.04715, 2022.
Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection Journal Article
In: Entropy, vol. 24, no. 5, pp. 688, 2022.