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

Professor – Department of BME, BUET (Dhaka, Bangladesh) – Jul 2023 – Present

Adjunct Faculty – Department of BME, Johns Hopkins University, Baltimore, MD (USA) – Jan 2023 – Present

Guest Lecturer – Massachusetts Institute of Technology, Boston, MA (USA) – April 2025

Consultant – UNICEF (Dhaka, Bangladesh) – May 2024 – May 2025

Associate Professor – Department of BME, BUET (Dhaka, Bangladesh) – Nov 2019 – Jul 2023

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

Patents

Taufiq Hasan, Kawsar Ahmed, Meemnur Rashid, Kaisar Ahmed, Farhan Muhib, “Needle Based Precision Venturi Flow-generator for Positive Pressure Ventilation”, U.S. Patent No. 11,793,958. 24 Oct. 2023.
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

Ali, Shams Nafisa, Md Tazuddin Ahmed, Tasnim Jahan, Joydip Paul, SM Sakeef Sani, Nawsabah Noor, Anzirun Nahar Asma, and Taufiq Hasan. “A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity.” Biomedical Signal Processing and Control 98: 106742 (2024).
Salman Fazle Rabby, Muhammad Abdullah Arafat, and Taufiq Hasan. “BT-Net: An end-to-end multi-task architecture for brain tumor classification, segmentation, and localization from MRI images” Array, Volume 22, July 2024 (2024).
Mohammad Zunaed, Md. Aynal Haque, and Taufiq Hasan, “Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays”, IEEE Journal of Biomedical and Health Informatics (2024).
Md Iqbal Hossain, Mohammad Zunaed, Md Kawsar Ahmed, SM Jawwad Hossain, Anwarul Hasan, and Taufiq Hasan. “ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification.” IEEE Access. Dec 2023.
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.

Awards

Gold Medal – Bangladesh Academy of Sciences (Dr. M. O. Ghani Memorial award) as a distinguished scientist in physical, biological, engineering, and agricultural sciences (2024).
1st Prize – Biomedical Engineering Society (BMES) Medtronic Student Design Competition for the project: “OsteoAssist: An Opportunistic Screening Tool for Osteoporosis and Fracture Risk Analysis through Bone Mineral Density Prediction” (2024).
1st Prize – Digital Poster Competition on the International Pathology Day 2024 organized by The Royal College of Pathologists, 2024 on “HISTOSCOPE: AI-Assisted Classification of Breast Cancer Histopathology Images.” (2024)
2nd Prize – Johns Hopkins University Healthcare Design Competition (Digital Health track) for the project: “DengueDrops: An IV fluid calculator for hospitalized dengue patients” (2024).
2nd Prize – Johns Hopkins University Healthcare Design Competition (Global Health track) for the project: “FetoSynth: A Real-Time Acoustic System for Fetal Heart Sound Localization and Heart Rate Monitoring” (2024).
Crystal Sea Award – RICE Global Health Technologies Design Competition for the project “Vector Vigilantes: An AI-based smartphone app for mosquito detection” (2024).
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, “Chest X-ray Image Analysis: Addressing Domain Variability, Anatomy-awareness and Image Superimposition”, Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology (MIT), Boston, MA (April 2025). [link]
Taufiq Hasan, “Biomedical Engineering Innovation in Bangladesh: From Frugal Devices to AI-Driven mHealth Solutions for Advancing Population Health”, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (March 2025). [link]
Taufiq Hasan, “The Impact of Demographic Variability on AI Performance: A Case Study on AI-based Detection of Infectious Diseases”, ASCODD 2024, Kathmandu, Nepal (Dec 2024).
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]

Professor