Dr. Taufiq Hasan

Education

PhD, The University of Texas at Dallas, USA
MSc (EEE), Bangladesh University of Engineering and Technology (BUET), Bangladesh
BSc (EEE), Bangladesh University of Engineering and Technology (BUET), Bangladesh

Research Interests

Biomedical signal and image processing, machine learning for health, medical imaging informatics, wearable and mHealth systems, low-cost medical devices. Dr. Hasan leads the mHealth Research Group.

Work Experience

Associate Professor – Department of BME, BUET (Dhaka, Bangladesh) – Nov 2019 – present

Visiting Scholar – Technology Innovation Center (TIC), Johns Hopkins University, Baltimore, MD, USA. – October 2019

Assistant Professor – Department of BME, BUET (Dhaka, Bangladesh) – May 2016 – Nov 2019

Research Scientist – Robert Bosch RTC (Silicon Valley, CA, USA.) – Jan 2014 – May 2016

Research Assistant – The University of Texas at Dallas (USA) – Jul 2008 – Dec 2013

Patents

Taufiq Hasan, Shabnam Ghaffarzadegan, Zhe Feng, “System and Method for Monitoring Dietary Activity” (U.S. Patent Application No. 16/284,309, 2019).
Shabnam Ghaffarzadegan, Zhe Feng, Ahmed Imtiaz Humayun, Taufiq Hasan, “Method and System for Detecting Abnormal Heart Sounds” (Pending US Patent Application, Provisional 62/680404 filed on June 4, 2018).
Taufiq Hasan, “Speech Enhancement and Audio Event Detection for an Environment with Non-Stationary Noise”, United States Patent Application # 15586876, Nov 2017.
Fuliang Weng, Taufiq Hasan, Zhe Feng, “Speaker Verification in a Health Monitoring System”, United States Patent Application # 13340213, July 2013

Publication Search

Google scholar | Researchgate | Academia.edu

Selected Publications

Uday Kamal, Mohammad Zunaed, Nusrat Binta Nizam, Taufiq Hasan, “Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays”, IEEE Journal of Biomedical and Health Informatics (2022) (accepted).
Nusrat Binta Nizam, Shoyad Ibn Sabur Khan Nuhash, and Taufiq Hasan, “Hilbert-Envelope Features for Cardiac Disease Classification from Noisy Phonocardiograms”. Biomedical Signal Processing and Control, 78 (2022)
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan, and Mohammed Imamul Hassan Bhuiyan (2020): “A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using EMD-CWT-based hybrid scalogram” IEEE Journal of Biomedical and Health Informatics.
Ahmed Imtiaz Humayun, Md. Tauhiduzzaman Khan, Shabnam Ghaffarzadegan, Zhe Feng and Taufiq Hasan (2018): “An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification”, Interspeech 2018, Hyderabad, India.
Ahmed Imtiaz Humayun, Shabnam Ghaffarzadegan, Zhe Feng and Taufiq Hasan (2018): “Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection” Proc. EMBC 2018, Hawaii, USA.
John H. L. Hansen and Taufiq Hasan (2015): “Speaker Recognition by Machines and Humans: A tutorial review”, IEEE Signal Processing Magazine, October 2015. [pdf]
Taufiq Hasan and John H. L. Hansen (2014): “Maximum-Likelihood Acoustic Factor Analysis for Robust Speaker Verification in Noise”, IEEE Trans. on Audio Speech and Lang. Process., February 2014. [pdf]
Taufiq Hasan Hynek Boril, Abhijeet Sangwan, John H. L. Hansen (2013): “Multi-modal highlight generation for sports videos using an information-theoretic excitability measure,” EURASIP Journal on Advances in Signal Processing, November 2013. [pdf]
Taufiq Hasan and John H. L. Hansen (2012): “Acoustic Factor Analysis for Robust Speaker Verification,” IEEE Trans. Audio Speech and Lang. Process., vol. 21, no. 4, pp. 842-853, April 2013. [pdf]

Awards

Winner – Biomedical Engineering Society (BMES) Medtronic Student Design Competition: “OxyJet: A low-cost electricity-free CPAP for ICU Prevention of COVID-19 Patients” (2021)
Global Winner of IMAGINE IF! – Innovation Forum (UK) for “OxyJet” (2021).
1st – IEEE Young Professionals Idea Contest: “To Mitigate Post-COVID Impact in Low- and Middle- Income Countries” (2020).
1st – IEEE Video and Image Processing Cup on “Real-time vehicle detection and tracking at junctions using a fisheye camera” (2020).
1st Runner-up – “ACT Covid-19: National Call” hackathon organized by the ministry of ICT (2020).
3rd – “Design For Life” ventilator design challenge organized by EDGE foundation (2020).
Winner – MIT Solve Tiger Challenge 2019 in partnership with Sonavi Labs (Baltimore, MD, USA) (2019).
3rd – IEEE Video and Image Processing Cup on “Activity Recognition from Body Cameras” (2019).
2nd best presenter – Bangladesh Cardiac Society Conference (2019).
ISCA Young Scientist Travel Grant to attend Interspeech 2017, Stockholm, Sweden (2017).
NVIDIA GPU Grant by NVIDIA corporation (2017).
IBM Research Spoken Language Technology Student Grant (ICASSP 2013, Vancouver, CN)

Grants

Awarded BUET Alumni donations of Tk. 13,75,000/- for the development of OxyJet non-invasive ventilator devices (2021).
Awarded $5000 promotional credits from the Amazon Web Services (AWS) Diagnostic Development Initiative (DDI) for radiological image analysis of Covid-19 patients (2020).
Awarded pre-seed funding of Tk. 10,00,000/- from the iDEA/StartupBangladesh for “OxyJet: A low-cost helmet based non-invasive ventilator for COVID-19 patients” (2020).
Awarded Tk. 10,00,000/- research grant from the Ministry of Information and Communication Technology (ICT) Division to develop an AI-Based teleradiology platform (2020).
Awarded Tk. 200,000/- research grant from the University Grants Commission (UGC) of Bangladesh on the project entitled “Automatic detection of pathologic cardiac conditions from Phonocardiogram (PCG) signals using multi-band deep convolutional neural networks” (2017).
Awarded Tk. 800,000/- research grant from the Ministry of Science and Technology, Government of Bangladesh to develop a Mobile Health (mHealth) Research Lab (2017).

Media Coverage

The Daily Star (front-page) “A breath of fresh air in Covid crisis: Buet researchers develop low-cost portable device to provide Oxygen to critical coronavirus patients” [link]
The Daily Observer (front-page) “BUET launches clinical trials of ‘OxyJet’: This non-electric and low-cost ventilator to meet oxygen need of corona patients”, May 12, 2021 [link]
BBC News (Bangla), “Oxygen: How BUET-made ‘OxyJet’ will benefit Coronavirus Patients”, May 4, 2021 [link]
Helmet Based Ventilation, “OxyJet CPAP – Simple Design and Low-Cost System for Non-Invasive Ventilation”, Oct 2020, Chicago, IL, USA. [link]
UT Dallas News Center, “Researchers Developing New Systems to Improve Voice Recognition”, UTD home page, 2013. [link]
Touch Display Research (blog), “AWE 2015 augmented reality, gesture and voice control market”, June 2015. [link]

Invited Talks

Taufiq Hasan, “OxyJet – Design and development of a low-cost non-invasive ventilator for hypoxemic Covid-19 patients”, Center for Bioengineering Innovation and Design (CBID), Johns Hopkins University, Baltimore, MD (October, 2022). [link]
Taufiq Hasan, “Deep Learning Applications in Healthcare: Recent works in BME, BUET”, Technology Innovation Center (TIC), Johns Hopkins University, Baltimore, MD (2019).
Taufiq Hasan, “Acoustic Factor Analysis for Robust Speaker Verification”, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Cambridge, MA, April 2013. [link]

Associate Professor