Dr. Uzzal Biswas
Professor

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Dr. Uzzal Biswas received a Bachelor of Science degree in Electronics and Communication Engineering with distinction from Khulna University, Bangladesh in 2011. Later in 2011, he joined in Electronics and Communication Engineering (ECE) discipline as a faculty member. In 2014, he received a Master of Science degree in Electronics and Communication Engineering with distinction from Khulna University, Bangladesh. In 2015, he received a President Gold Medal Award from Khulna University for securing 1st position with distinction and obtaining the highest CGPA in the undergraduate program among all disciplines under the Science, Engineering and Technology (SET) School of Khulna University.  In 2016, he received the prestigious Endeavour Postgraduate Research Scholarship from the Education Ministry of Australian Government to pursue his PhD degree at the University of New South Wales (UNSW), Sydney, Australia. In 2021, he received a Doctor of Philosophy degree in Biomedical Engineering from UNSW, Sydney, Australia. Currently, he is working as a Professor in the ECE discipline, Khulna University, Khulna, Bangladesh.

His research interests are Biomedical Signal Processing, Telehealth-based Remote Patient Monitoring, Data Mining, Time Series Analysis, Machine Learning-based Classification and Prediction Modeling.


Current Research Project:
An Effective Bengali Sign Language Communication Tool for Deaf & Dumb People. Funded By: Khulna University Research and Innovation Center (KURIC), Khulna University 9208, Bangladesh

  • PhD in Biomedical Engineering

           University of New South Wales (UNSW), NSW 2152, Australia

  • MSc in Electronics and Communication Engineering

           Khulna University, Khulna 9208, Bangladesh

  • BSc in Electronics and Communication Engineering

           Khulna University, Khulna 9208, Bangladesh

Biomedical Signal Processing

Telehealth-based Remote Patient Monitoring

Data Mining

Time Series Analysis

Machine Learning-based Classification and Prediction Modeling

Current Research Project/Collaboration

SL Title Research Role Awarded Date Completion Date Funding Agency
1 A comprehensive smartphone application-centric model of care for remote monitoring and outcome improvement of patients affected with COVID-19 Co-Principal Investigator 15th June, 2021 Ongoing International
2 A comprehensive smartphone application-centric model of remote monitoring for vulnerable patients with heart failure (TCC-HF) in the community during the COVID-19 pandemic Co-Principal Investigator 15th January, 2021 25th December, 2021 International
3 A randomized controlled trial of a comprehensive smartphone application-centric model of care to improve outcomes in patients with cardiovascular disease Co-Principal Investigator 18th February, 2018 31st October, 2020 International
4 Enhancement of Research Facilities of Bio-Medical Engineering Lab Co-Principal Investigator 24th June, 2014 30th June, 2015 National
5 An Effective Bengali Sign Language Communication Tool for Deaf & Dumb People. Principal Investigator 9th September, 2022 Ongoing National
6 An intelligent smartphone application-based model for remote monitoring and quality of life improvement of patients with heart failure (TCC-HF) Co-Principal Investigator 5th January, 2022 Ongoing International

Teaching Experience:


Professor, Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Duration: October 18, 2023 – to date

Associate Professor, Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Duration: October 18, 2019 – October 17, 2023

Assistant Professor, Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Duration: July 01, 2014 – October 17, 2019

Lecturer, Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.
Duration: December 28, 2011 – June 30, 2014


Other Professional Experience:

Assistant Provost, Aparajita Hall, Khulna UUniversity, Khulna 9208, Bangladesh.

Duration: December 13, 2023 - to date


Research Assistant/Biomedical Engineer (Part-time), Telehealth Research Lab, Graduate School of Biomedical Engineering, University of New South Wales (UNSW), Sydney, Australia.
Duration: June 15, 2021 – to date

Research Assistant, Telehealth Research Lab, Graduate School of Biomedical Engineering, University of New South Wales (UNSW), Sydney, Australia.
Duration: March 03, 2017 – June 14, 2021

No Data Available

Supervision

SL Title Degree Role Start Date End Date
1 Prosthetic hand control using machine learning-based EMG signal analysis Bachelor Co-Supervisor 1st January, 2021 27th February, 2022
2 Prediction of Arrhythmia after Acute Myocardial Infarction Using Machine Learning and Statistical Analysis Techniques Bachelor Supervisor 1st January, 2022 9th February, 2023
3 An Effective Approach for the Prediction of Heart Disease Using Statistical Analysis and Machine Learning Model Masters Supervisor 1st January, 2023 Ongoing
4 An mHealth-based Smart Baby Incubator Masters Supervisor 1st January, 2022 Ongoing
5 An Effective Approach for the Prediction of Type I and Type II Diabetes Bachelor Supervisor 1st January, 2023 Ongoing
6 Prediction of C-section Delivery Using Machine Learning and Statistical Analysis Techniques Bachelor Supervisor 1st January, 2023 Ongoing

No Data Available

coming soon...

Book Chapter:

  1. U. Biswas, C. H. Goh, S. Y. Ooi, E. Lim, S. J. Redmond, N. H. Lovell, “Telemedicine Systems to Manage Chronic Disease”  Digital Health (Exploring Use and Integration of Wearables), Chapter 12, Academic Press, (2021): 177-195, DOI: https://doi.org/10.1016/B978-0-12-818914-6.00020-X.


Journal:

  1. A. A. J. Jim, I. Rafi, M. Z. Akon, U. Biswas, and A. Nahid, “KU-BdSL: An open dataset for Bengali sign language recognition,” Data in Brief, Vol. 51, Issue 109797, PP. 1-11, 2023, DOI: https://doi.org/10.1016/j.dib.2023.109797.
  2. U. U. Gronthy, U. Biswas, S. Tapu. M. A. Samad and A. A. Nahid, "A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022," Diagnostics, (Impact Factor: 3.992), Vol. 13, Issue 10, PP. 1-20, 2023, DOI: https://doi.org/10.3390/diagnostics13101732.
  3. P. Indraratna and U. Biswas et al., "A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial," JMIR Mhealth Uhealth (Impact Factor: 4.95), Vol. 10, No. 2, p. e32554, 2022, DOI: https://doi.org/10.2196/32554.
  4. P. Indraratna, U. Biswas, H. Liu, S. J. Redmond, J. Yu, N. H. Lovell and S. Y. Ooi, “Process Evaluation of a Randomised Controlled Trial for TeleClinical Care, a Smartphone-App Based Model of Care”, Frontiers in Medicine (Impact Factor: 5.05), PP. 1-12, 2022, DOI: https://doi.org/10.3389/fmed.2021.780882.
  5. P Indraratna, U Biswas, J Yu, G Schreier, S Y Ooi, N H Lovell, S J Redmond, “Trials and Tribulations: mHealth Clinical Trials in the COVID-19 Pandemic”, Yearbook of Medical Informatics, Vol. 30, Issue 01: 272-279, 2021, DOI: https//doi.org/10.1055/s-0041-1726487.
  6. P. Indraratna, J. Magdy, J. Li, J. McVeigh, N. Briggs, A. Mamo, U. Biswas, J. Yu, N. H. Lovell, and S. Ooi, “Patterns and predictors of smartphone ownership in a cardiology inpatient population”, European Heart Journal, Vol. 42, October, 2021, DOI: https://doi.org/10.1093/eurheartj/ehab724.3111.
  7. P. Indraratna, and U. Biswas et al., “A randomised control trial of TeleClinical Care–a smartphone-app based model of care for heart failure and acute coronary syndromes,” European Heart Journal, Vol. 42, October, 2021, DOI: https://doi.org/10.1093/eurheartj/ehab724.3083.
  8. P. Indraratna, U. Biswas, H. Liu, N. H. Lovell, and S. Ooi, “Process evaluation of the TeleClinical Care pilot study,” European Heart Journal, Vol. 42, October, 2021, DOI: https://doi.org/10.1093/eurheartj/ehab724.3100.
  9. P. Indraratna, and U. Biswas et al., “TeleClinical Care: A Randomised Control Trial of a Smartphone-Based Model of Care for Patients with Heart Failure or Acute Coronary Syndrome,” Heart, Lung and Circulation, Vol. 30, January, 2021, DOI: https://doi.org/10.1016/j.hlc.2021.06.026.
  10. P. Indraratna, U. Biswas, H. Liu, N. Lovell, and S. Ooi, “Process Evaluation of the TeleClinical Care Randomised Controlled Trial,” Heart, Lung and Circulation, Vol. 30, January, 2021, DOI: https://doi.org/10.1016/j.hlc.2021.06.436.
  11. P. Indraratna, and U. Biswas et al., “The Cost-effectiveness of TeleClinical Care: A Telemonitoring and Educational Smartphone App-based Model of Care,” Heart, Lung and Circulation, Vol. 30, January, 2021, DOI: https://doi.org/10.1016/j.hlc.2021.06.441.
  12. P. Indraratna, J. Magdy, J. Li, J. McVeigh, A. Mamo, N. Briggs, U. Biswas, J. Yu, N. Lovell, and S. Ooi, “Demographic Factors That Influence Smartphone Ownership in a Cardiology Inpatient Population,” Heart, Lung and Circulation, Vol. 30, January, 2021, DOI: https://doi.org/10.1016/j.hlc.2021.06.431.
  13. P. Indraratna, U. Biswas, J. Yu, J. McVeigh, A. Mamo, A. Ziegl, K. Holgate, J. Li,  N. Cholerton,  J. Fildes,  G. Figtree, R. Gallagher, C. Ferry, E. Loh, S. Redmond, G. Schreier, N. Lovell, S. Ooi, "The Impact of Age on Smartphone Ownership in a Cardiology Inpatient Population," Heart, Lung and Circulation, vol. 29, pp. S383-S384, 2020, DOI: https://doi.org/10.1016/j.hlc.2020.09.778.
  14. U. Biswas, M. Maniruzzaman, B. Sana and K. R. Hasan, “Removing Baseline Wander from ECG Signal Using Wavelet Transform,” Khulna University Studies, Bangladesh, vol. 15 (1&2), pp. 61-73, September 04, 2019, DOI: https://doi.org/10.53808/KUS.2019.16.1and2.1815-E.
  15. U. Biswas, and M. Maniruzzaman, “Power Line Interference Removal from ECG Signal Using Notch Filter, Adaptive Filter and Wavelet Packet Transform,” American International Journal of Contemporary Scientific Research (AIJCSR), Vol. 2, Issue 2, PP. 17-23, 2015, DOI: http://www.americanij.com/index.php/aij/article/view/77.


International Conference/Symposium:

  1. U. Biswas, S. J. Redmond and N. H. Lovell, “Managing Cardiovascular Disease with a Smartphone: An Intelligent mHealth Smartphone App and System for Remote Monitoring of Patients with Cardiovascular Disease,” 5th Engineering Postgraduate Research Symposium 2019, University of New South Wales (UNSW), Sydney, Australia, December 9-10, 2019.
  2. U. Biswas, K. R. Hasan, B. Sana and M. Maniruzzaman, “Denoising ECG Signal Using Different Wavelet Families and Comparison with Other Techniques,” 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, pp. 1-6, May 21-23, 2015, DOI: https://doi.org/10.1109/ICEEICT.2015.7307469.
  3. U. Biswas, A. Das, S. Debnath and I. Oishee, “ECG Signal Denoising by Using Least-Mean-Square and Normalized-Least-Mean-Square Algorithm Based Adaptive Filter,” 2014 International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, pp. 1-6, May 23-24, 2014, DOI: https://doi.org/10.1109/ICIEV.2014.6850857.
  4. U. Biswas, and M. Maniruzzaman, “Removing Power Line Interference from ECG Signal Using Adaptive Filter and Notch Filter,” 2014 International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, pp. 1-4, April 10-12, 2014, DOI: https://doi.org/10.1109/ICEEICT.2014.6919072.
  5. M. Maniruzzaman, K. M. S. Billah, U. Biswas and B. Gain, “Least-mean-square Algorithm Based Adaptive Filters for Removing Power Line Interference from ECG Signal,” 2012 International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, pp. 737-740, May 18-19, 2012, DOI: https://doi.org/10.1109/ICIEV.2012.6317472.


Data:

  1. A. A. J. Jim, I. Rafi, M. Z. Akon, U. Biswas, and A. Nahid, “KU-BdSL: Khulna University Bengali Sign Language dataset”  Mendeley Data, V3, 2023, DOI: https://doi.org/110.17632/scpvm2nbkm.3.

Microwave Engineering

Running

Biomedical Engineering

Running

Measurements & Instrumentation

Running

Antennas
  • Microwave Engineering
  • Biomedical Engineering
  • Measurements & Instrumentation
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