Md Rakibul Mowla
Born and grown up in Bangladesh. Received a Bachelor of Science (B.Sc) in electrical & electronic engineering from the Chittagong University of Engineering & Technology (CUET), Chittagong, Bangladesh, in 2010, and a Ph.D. degree in electrical & computer engineering from the Kansas State University, KS, USA, in May, 2020. Student member of IEEE, IEEE Engineering in Medicine and Biology Society (EMBS), IEEE Brain Community, and Brain-Computer Interface Society. Research interests include biomedical signal processing, brain-computer interfaces, neural engineering, and affective computing.
Education & Training
Postdoctoral Scholar (June 2021 - Present), Department of Neurosurgery, The University of Iowa, Iowa City, Iowa, USA
Postdoctoral Associate (June 2020 - May 2021), Electrical & Computer Engineering, University of Florida, Gainesville, FL, USA
Ph.D. in Electrical & Computer Engineering (2015-2020), Kansas State University, Manhattan, KS, USA
BSc. in Electrical & Electronic Engineering (2006-2010), Chittagong University of Engineering & Technology (CUET), Chittagong, Bangladesh.
Graduate Assistant- Electrical & Computer Engineering (Jan. 2015 -- May 2020), Kansas State University, Manhattan, KS
Worked on EEG-based brain-computer interface system. Specifically, performance enhancement of the P300 speller BCIs, affect (i.e., emotion) recognition using EEG.
Preprocessed EEG data (i.e., filtering, segmenting, extracting features), formal analysis, and applied machine learning methods for signal classification.
Used BCI2000 software suite for data acquisition and stimulus presentation for an affect recognition experiment and a P300 face speller experiment.
ECE431: Microcontrollers (Jan 2019 -- May 2019)
ECE 540: Applied Scientific Computing (Jan 2016 -- May 2019)
ECE519: Electric Circuits And Control (Jun 2018 -- Jul 2018)
ECE511: Circuit Theory II (Aug 2018 -- Dec 2018)
ECE431: Microcontrollers (Jan 2015 -- May 2015)
Research Assistant (July 2013 -- Oct 2014), Biomedical Engineering, University of Malaya, Kuala Lumpur, Malaysia
Worked on MATLAB based data synchronization for EEG acquisition using Mindo-64 coral wireless EEG.
Developed methods to remove EEG artifacts from noisy data.
Developed methods for estimating evoked potentials (EP) from EEG data.
Peer Review Activities (Sep 2015 -- Present), Reviewed articles on the following journals:
IEEE Journal of Biomedical and Health Informatics
IEEE Transactions on Affective Computing
IEEE Transactions on Biomedical Engineering
International Journal of Machine Learning and Cybernetics
Review of Scientific Instruments
Journal of Neural Engineering
Informatics in Medicine Unlocked
IET Signal Processing
International Journal of Big Data and Analytics in Healthcare (IJBDAH)
Medical & Biological Engineering & Computing
Co-Chair, Research Forum Committee, Graduate Student Council (Aug 2017 -- May 2018), Kansas State University.
Member, Research Forum Committee, Graduate Student Council (Aug 2016 -- May 2017), Kansas State University.
Graduate Recruitment Ambassador, College of Engineering (Aug 2016 -- May 2017), Kansas State University.