Center of Excellence in Higher Education
The First Private University in Bangladesh

Dr. Zaid Bin Mahbub

Full Time Faculty
Associate Professor

PhD, University of Nottingham, UK
Post Doc, University of Edinburgh, UK

Phone: +880-2-55668200 Ext: 6216
Email: zaid.mahbub@northsouth.edu
Office: Room South Academic Building (SAC) 1065B

 
 

Dr Zaid Bin Mahbub completed his PhD in Physics from the University of Nottingham, UK, in 2014. His PhD works were conducted in the Sir Peter Mansfield Imaging Centre -SPMIC, the birthplace of MRI. His research was focused on Quantitative MRI, including diffusion, magnetization transfer, T2 of peripheral nerves in the brachial plexus and combined EMG-MRI study.

After PhD completion, he continued research in the field of MRI and joined as an EPSRC Research Associate at the University of Edinburgh, UK. During 2015-2018, his post-doctoral research works mainly dealt with accelerated MRI and MR fingerprinting (MRF).

Since 2004, Dr Zaid has been involved in bio-medical physics research. He began with biomedical physics research during a post-graduate program at the University of Dhaka, where he dealt with time and frequency domain studies of EMG signals from median nerves. He completed a B.Sc (4 years) and MS degrees in Physics from the University of Dhaka, Bangladesh.
Dr Zaid’s fields of interest include Biomedical physics and engineering, Biomedical image and signal analysis. He has extensive expertise in MRI and MRI physics, especially Quantitative MRI, MR pulse sequence design, modelling MR signals, and optimizing the pulse sequences. He is also an expert on EMG and nerve conduction studies.


Dr Zaid published his works in the renowned journals. He also presented his research works at many international conferences, such as ISMRM and ESMRMB and the British chapter of ISMRM meetings in different countries.

Book Chapter:

  • ‘Nanosensors in biomedical and environmental applications: Perspectives and prospects’, Mamun Rabbani, Md Enamul Hoque, Zaid Bin Mahbub, Nanofabrication for Smart Nanosensor Applications, Elsevier, Chapter 7, 2020

 Journal Papers:

  1. ‘Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model’, K Kanti Podder, M Ezeddin, M EH Chowdhury, Md S Islam Sumon, A M Tahir, M Arselene Ayari, P Dutta, A Khandakar, Zaid Bin Mahbub, M Abdul Kadir, Sensors, 2023, 23(16), 7156; https://doi.org/10.3390/s23167156
  2. ‘Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model’, A Rahman, S Mahmud, M EH Chowdhury, H C Yalcin, A Khandakar, O Mutlu, Zaid Bin Mahbub, Reema Yousef Kamal, Shona Pedersen, Engineering Applications of Artificial Intelligence, Vol 123 C, August 2023. https://doi.org/10.1016/j.engappai.2023.106414
  3. ‘MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals’, Bioengineering, 2023, 10(5), 579, M S Hossain, S Mahmud, A Khandakar, N Al-Emadi, F A Chowdhury, Zaid Bin Mahbub, M B Ibne Reaz, M EH Chowdhury, https://doi.org/10.3390/bioengineering10050579
  4. ‘BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data’, T Rahman, M EH Chowdhury, A Khandakar, Zaid Bin Mahbub, M S Abrar Hossain, A Alhatou, E Abdalla, S Muthiyal, K Farzana Islam, S Bin Abul Kashem, M Salman Khan, Susu M Zughaier, Maqsud Hossain, Neural Computing and Applications, May 2023, Volume 35, pages 17461–17483, https://doi.org/10.1007/s00521-023-08606-w
  5. ‘Increase in conduction velocity in myelinated nerves due to stretch–An experimental verification’, Sabrina Sharmin, Mohammad Abu Sayem Karal, Zaid Bin Mahbub, Khondkar Siddique-e Rabbani, Neurosci., April 2023, https://doi.org/10.3389/fnins.2023.1084004
  6. ‘NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern’, M A Atick Faisal, M EH Chowdhury, Zaid Bin Mahbub, S Pedersen, M U Ahmed, A Khandakar, M Alhatou, M Nabil, I Ara, E H Bhuiyan, S Mahmud, M Abdul Moniem, Applied Intelligence, 27 March 2023, V 53, 20034–20046, https://doi.org/10.1007/s10489-023-04557-w
  7. ‘Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals’, Md Nazmul Islam Shuzan, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Amith Khandakar, Farhan Fuad Abir, Md Ahasan Atick Faisal, Sawal Hamid Md Ali, Ahmad Ashrif A Bakar, Moajjem Hossain Chowdhury, Zaid B Mahbub, M Monir Uddin, Mohammed Alhatou, Biomedical Signal Processing and Control, Volume 81, March 2023, 104448, https://doi.org/10.1016/j.bspc.2022.104448
  8. ‘Fiber Bragg Gratings based smart insole to measure plantar pressure and temperature’, Sakib Mahmud, Amith Khandakar, Muhammad EH Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M Murugappan, Mohammed Alhatou, Sensors and Actuators A: Physical, Volume 350, 1 February 2023, 114092, https://doi.org/10.1016/j.sna.2022.114092            
  9. ‘Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature’, Amith Khandakar, Sakib Mahmud, Muhammad E. H. Chowdhury,Mamun Bin Ibne Reaz, Serkan Kiranyaz, Zaid Bin Mahbub, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Mohamed Arselene Ayari, Mohammed Alhatou, Mohammed Abdul-Moniem and Md Ahasan Atick Faisal, Sensors 2022, 22(19), 7599; https://doi.org/10.3390/s22197599
  10. ‘Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques’, Amith Khandakar, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Tariq O Abbas, Tanvir Alam, Mohamed Arselene Ayari, Zaid B Mahbub, Rumana Habib, Tawsifur Rahman, Anas M Tahir, Ahmad Ashrif A Bakar, Rayaz A Malik, Sensors, 22, February 2022, https://doi.org/10.3390/s22051793
  11. ‘Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model’, Kanchon Kanti Podder, Muhammad EH Chowdhury, Anas M Tahir, Zaid Bin Mahbub, Amith Khandakar, Md Shafayet Hossain, Muhammad Abdul Kadir, Sensors, 22(2), January 2022, https://doi.org/10.3390/s22020574
  12. ‘Recent developments in the kinetics of ruptures of giant vesicles under constant tension’, Mohammad Abu Sayem Karal, Md. Kabir Ahamed, Marzuk Ahmed and Zaid Bin Mahbubb; Royal Society of Chemistry Advances, 47; August 2021, https://doi.org/10.1039/D1RA04647K
  13. ‘A new purification technique to obtain specific size distribution of giant lipid vesicles using dual filtration’, Mohammad Abu Sayem Karal, Tawfika Nasrin, Marzuk Ahmed, Md. Kabir Ahamed, Shareef Ahammed, Salma Akter, Sharif Hasan, Zaid Bin Mahbub, PLOS ONE, July 2021, https://doi.org/10.1371/journal.pone.0254930.
  14. ‘A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model’, Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad E.H. Chowdhury, Mamun Ibne Reaz, Monir Uddin, Amith Khandakar, Zaid B. Mahbub, and Sawal Hamid Md. Ali, IEEE Access, vol 9, 96775 - 96790, July 2021. https://doi.org/10.1109/ACCESS.2021.3095380
  15. ‘Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization’, T Rahman, A Khandakar, M A Kadir, K R. Islam, K F. Islam, R Mazhar, T Hamid, M T. Islam, Zaid Bin Mahbub, M A Ayari, M E. H. Chowdhury, IEEE Access, vol 8. 191586- 191601, October 2020, https://doi.org/10.1109/ACCESS.2020.3031384
  16. ‘Can AI help in screening Viral and COVID-19 pneumonia?’, M E H Chowdhury, T Rahman, A Khandakar, R Mazhar, M A Kadir, Zaid Bin Mahbub, K R Islam, M Salman Khan, A Iqbal, N Al-Emadi, M B Reaz, M. T. Islam, IEEE Access, 1-12, July 2020, https://doi.org/10.1109/ACCESS.2020.3010287
  17. ‘Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques’, Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E.H. Chowdhury, Zaid B. Mahbub, M. Monir Uddin, Amith Khandakar and Mamun Ibne Reaz, Sensors, 20, 3127, June 2020, https://doi.org/10.3390/s20113127
  18. ‘Bangla Sign Language Alphabet Recognition Using Transfer Learning Based Convolutional Neural Network’, Kanchon Kanti Podder, M E H Chowdhury, Zaid Bin Mahbub and Muhammad Abdul Kadir, Bangladesh Journal of Scientific Research, June 2020
  19. ‘Deformation and poration of giant unilamellar vesicles induced by anionic nanoparticles’, M Abu Sayem Karal, S. Ahammed, Victor Levadny, Marina Belaya, M Kabir Ahamed, Marzuk Ahmed, Zaid Bin Mahbub, A.K.M. Atique Ullah, Journal of Chemistry and Physics of Lipids, 230, 104916, May 2020, https://doi.org/10.1016/j.chemphyslip.2020.104916
  20. ‘Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray’, Tawsifur Rahman, M. E. H. Chowdhury, A Khandakar, K R. Islam, K F. Islam, Zaid B. Mahbub, Muhammad A. Kadir, and S Kashem, Journal of Applied Sciences, vol 10, 3233, May 2020, https://doi.org/10.3390/app10093233
  21. ‘Location of Peptide-Induced Submicron Discontinuities in the Membranes of Vesicles Using ImageJ’, Mohammad Abu Sayem Karal, Md. Kabir Ahamed, Marzuk Ahmed, Shareef Ahamed, Zaid Bin Mahbub, Journal of Fluorescence, 30, pages735–740, May 2020, https://doi.org/10.1007/s10895-020-02560-9
  22. ‘Study of molecular transport through a single nanopore in the membrane of a giant unilamellar vesicle using COMSOL simulation’, M Abu Sayem Karal, M Kamrul Islam, Zaid Bin Mahbub, European Biophysics Journal, vol 49, 59–69, December 2019, https://doi.org/10.1007/s00249-019-01412-0
  23. ‘Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: An alternative to conventional spiral MR Fingerprinting’, A Julian V Benjamin, Pedro A. Gómez, M Golbabaee, Zaid Bin Mahbub, T Sprenger, Marion I. Menzel, Michael Davies, Ian Marshall, Magnetic Resonance Imaging, vol 61, 20–32, May 2019, https://doi.org/10.1016/j.mri.2019.04.014
  24. ‘Presence of time dependent diffusion in the Brachial Plexus’, Zaid Bin Mahbub, A.Peter, P A Gowland, Magnetic Resonance in Medicine, volume/issue 79/2, 789-795, February 2018, https://doi.org/10.1002/mrm.26733
  25. ‘Analysis of evoked EMG using wavelet transformation’, Zaid B Mahbub, Jamil H Karami, K S Rabbani, Bangladesh Journal of Medical Physics, 5:1,41-51, 2012.
  26. ‘Analysis of evoked EMG responses for automated test of Cervical Spondylosis’, Zaid B Mahbub, Jamil H Karami, K S Rabbani, AUST Journal of Science and Technology, 1:1,70-83, 2009.

Peer-Reviewed Conference presentations:

  1. ‘Deep learning based liver segmentation using T1 weighted abdominal MRI’, Md. Sakib Abrar Hossain, Muhammad E. H. Chowdhury, Enamul H. Bhuiyan, Zaid B. Mahbub, Tawsifur Rahman, Amith Khandakar, Anas Tahir, Md Shafayet Hossain, M. Salman Khan, Annual Meeting 2022, International Society for Magnetic Resonance in Medicine, London, 7-12 May 2022.
  2. “Molecular Dynamics Study in Diffusion Weighted MRI - A computational model approach”, Raiyan Chowdhry, Ehtesam Azim, Abu Sayem, Asiful Islam, Zaid Bin Mahbub, 11th International Conference on Electrical and Computer Engineering (ICECE), IEEE- 978-0-7381-1102-5/20, 2020, DOI: 10.1109/ICECE51571.2020.9393099
  3. ‘Analysis of Continuous Motor Nerve Conduction Velocity Distribution from Compound Muscle Action Potential’, Zakaria Siam, R Hasan, M Masud, Abu Sayem, Zaid Bin Mahbub, 11th International Conference on Electrical and Computer Engineering (ICECE), IEEE- 978-0-7381-1102-5/20, 2020, DOI: 10.1109/ICECE51571.2020.9393039
  4. ‘Effect of stretching on myelinated nerves-observed through changes in conduction velocity and other variables associated with compound muscle action potential’, Sabrina Sharmin, Zaid Bin Mahbub, M Abu Sayem Karal, K S Rabbani, International Conference on Physics in Medicine- 2020, February 06-07, 2020
  5. ‘Prediction and Analysis of Nerve Fiber Conduction Velocity Distribution using Motor Unit Action Potential Model : An Approach to Analyze the Nerve Conduction using Inverse Problem’, Zakaria Shams Siam, Rubyat Tasnuva Hasan, M.A. Masud, Zaid Bin Mahbub, International Conference on Physics in Medicine- 2020, February 06-07, 2020
  6. ‘Driver drowsiness detection by heart rate variability (HRV) analysis using machine-learning algorithm’, A.N.M. Tawsifur Rahman, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, Muhammad Abdul Kadir, International Conference on Physics in Medicine- 2020, February 06-07, 2020 
  7. ‘Relation between demographic data and Photoplethysmography (PPG) signal features in estimating human health metrics’, Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad E.H. Chowdhury, Zaid B Mahbub, M. Monir Uddin, 2nd International Conference on Applied Statistics, 25-27 December 2019.
  8. ‘Study of the Change of Conduction Velocity of Myelinated Nerves due to Stretching’, Sabrina Sharmin, Zaid Bin Mahbub, M A Sayem Karal, M A Kadir, K S Rabbani, National Conference on Electronics and Informatics - 2019, 04-05 December, 2019.
  9. ‘Combined MRI and EMG study for peripheral neuropathy study in Bangladesh’, Zaid Bin Mahbub, Sabrina Sharmin, Abu Sayem Karal, KS Rabbani, ISMRM Workshop on Accessible MRI for the World, 29-31 March 2019, New Delhi, India.
  10. ‘MRI and MR Fingerprinting how it works’ Bangladesh Physical Society Conference, 7-9 February 2019, Department of Physics, University of Dhaka.
  11. ‘In vivo parametric mapping using piecewise constant flip angle and multi shot EPI MR Fingerprinting’, Zaid Mahbub, M Golbabaee, A J V Benjamin, M Davies and I Marshall, p-2892, ISMRM 26th Annual Meeting in Paris, 16 - 21 June 2018.
  12. ‘Balanced multi-shot EPI for accelerated Cartesian MR Fingerprinting: An alternative to spiral MR Fingerprinting’, A J V Benjamin, P Gómez, M Golbabaee, Zaid Mahbub, T Sprenger, M Menzel M Davies and I Marshall, p-2865, ISMRM 26th Annual Meeting in Paris, 16 - 21 June 2018.
  13. ‘Brain tumor identification through microstructure study using MRI’, S. D Gupta, KS Rabbani, Zaid B Mahbub, International Conference on Medical Engineering, Health Informatics and Technology (MediTec), 2016, IEEEXPlore: 30 January 2017, DOI 10.1109/MEDITEC.2016.7835395
  14. ‘MR neurography of the Brachial Plexus’, National Conference on Physics Research and education in Bangladesh, 24-25 April, 2015, Atomic energy commission, Dhaka, Bangladesh.
  15. ‘'MT spectra asymmetry and NOE studies in the Brachial plexus'’, ISMRM 23rd Annual Meeting in Toronto, 30 May - 5 June 2015, p-3362
  16. ‘Diffusion features of the Brachial Plexus’, International Conference on Physics in Medicine and Clinical Neuro Electrophysiology, 19-20 February, 2015, University of Dhaka.
  17. ‘Distribution of F-Latency and MRI study of the Brachial Plexus’, International Conference on Physics in Medicine and Clinical Neuro Electrophysiology, 19-20 February, 2015, University of Dhaka.
  18. ‘Is there any detectable NOE in the Brachial Plexus?’, Zaid Mahbub, P Glover, A Peters, O Mougin, P Gowland, British Chapter ISMRM, 19th Annual Scientific Meeting, University of York, 24-25 September 2013.
  19. ‘Measurement of Magnetization Transfer Effects in the Brachial Plexus: Comparison with T2 and Diffusion Effects’, ISMRM, 21st Annual Meeting, Salt Lake City, Utah, USA, 20-26 April, 2013.
  20. ‘Measurement of Magnetization transfer in the Brachial Plexus: comparison with T2 and Diffusion Effects’, Zaid Mahbub, P Glover, A Peters, O Mougin, P Gowland, British Chapter ISMRM, 22nd Postgraduate symposium, University College London, London, 20th March 2013.
  21. ‘IVIM, T2 and Time Dependent Diffusivity study of Nerve and Spinal cord’, ESMRMB, 29th Annual Scientific Meeting, Lisbon, Portugal, 4-6 October 2012.
  22. ‘IVIM, T2 and Diffusion features of Brachial Plexus’, British Chapter ISMRM’, 18th Annual Scientific Meeting, University of Cambridge, 11-13 September 2012.
  23. ‘The ADC, T2 and Diffusion Time Dependent Apparent Diffusion Coefficient of the Brachial Plexus’, British Chapter ISMRM, 21st Postgraduate symposium, University of Bristol, 20th March 2012.
  24. ‘Optimizing diffusion weighted imaging of the brachial plexus’, British Chapter ISMRM, 17th Annual Scientific Meeting, University of Manchester, 7-9 September 2011.

Theses:

MS: Neuromuscular Action Potential and Test of Cervical Spondylosis, University of Dhaka, Bangladesh, September 2006.

PhD: Quantitative MRI and EMG of the Brachial Plexus, University of Nottingham, United Kingdom, June 2014.

Trainee stipend for the ISMRM Workshop on Accessible MRI for the World, 29-31 March 2019, New Delhi, India.

Best presentation award ISMRM Workshop on Accessible MRI for the World, 29-31 March 2019, New Delhi, India.

Best Poster award at National Conference on Physics Research and education in Bangladesh, 24-25 April, 2015, Atomic energy commission, Dhaka, Bangladesh.

E.K. Zavoisky stipend for ISMRM annual meeting 2015.

University of Nottingham Scholarship 2011, for PhD study at University of Nottingham, United Kingdom.

BCISMRM travel award 2011 for PhD study at University of Nottingham, United Kingdom.

IOP travel award 2012 for PhD study at University of Nottingham, United Kingdom.

IDB Merit Scholarship 2011 for PhD study at University of Nottingham, United Kingdom.

Dhaka University Scholarship for excellence in Bachelor of Science (4 years Honors) Physics examination at the Dhaka University.

Doctor of Philosophy

School of Physics & Astronomy, University of Nottingham, Nottingham, United Kingdom, 2014

 

Master of Science in Physics (1st Class)

Department of Physics, University of Dhaka, Bangladesh, 2006

 

Bachelor of Science in Physics (1st Class)

Department of Physics, University of Dhaka, Bangladesh, 2004

 

Higher Secondary Certificate Science Group (1st Division)

Government Science College, Dhaka, 1996

     

Secondary School Certificate Science Group(1st Division)

Government Science College, Dhaka, 1994

  • Tutoring since 2016 for the MSc Course in Neuro Imaging,  University of Edinburgh, UK.
  • Teaching in the Department of Arts and Sciences, Ahsanullah University of Science and Technology, Dhaka, Bangladesh since 2006. * Lecturer in Physics, from 2006-2009 (active service) * Assistant Professor in Physics, 2009-2010 (active service), 2010-2014 (study leave for PhD), 2014-2015 (active service).
  • Co-supervisor: Masters Student, Department of Biomedical Physics and Technology, University of Dhaka, dissertation project ‘MRI pulse sequences for microstructures: A simulation study’, 2014-2015.
  • Examiner: Masters theses, Department of Biomedical Physics and Technology, University of Dhaka, 2014-2015.
  • Workshop Demonstrator and Course work marking, School of Physics & Astronomy, University of Nottingham, United Kingdom, 2011-2013.
  • IT tutor, Student IT service, University of Nottingham, United Kingdom, 2011-2013.
  • Part time Faculty member, Department of Electrical and Electronic Engineering, United International University, Dhaka, Bangladesh, 2009-2010.
  • Part time Faculty member, Department of Physics, Dhaka University of Engineering & Technology, Gazipur, Bangladesh, 2009-2010.
  • Biomedical signal analysis and Machine learning applications.
  • Quantitative MRI and EMG study, University of Dhaka, BUET.
  • Research on Magnetic Resonance Fingerprinting (MRF) and its implementation, University of Edinburgh, UK since November 2015.
  • Research on EMG, nerve conduction in Dhaka, Bangladesh, June 2015.
  • Diffusion MRI pulse sequence implementation for 1.5T and 3.0T Siemens scanners for Neck imaging and Brain imaging in Dhaka, Bangladesh, February-May 2015
  • Research on Quantitative MRI in the University of Nottingham, UK, 2011-2014.
  •  

Phy 107 and Phy 107 Lab

Phy 108 and Phy 108 Lab

 

  • Member of International Society of Magnetic Resonance in Medicine (ISMRM)
  • Associate Member of European Society of Magnetic Resonance in Medicine & Biology (ESMRMB)
  • Life Member, Indian Chapter International Society of Magnetic Resonance in Medicine (ISMRM-IC)
  • Associate Member of Institute of Physics (IOP)
  • Associate Member of Institute of Physics & Engineering in Medicine (IPEM)
  • Life Member of 'Bangladesh Physical Society (BPS)
  • Member of 'Bangladesh Medical Physics Association (BMPA)

Occupational Training

  • Attended ESMRMB MR Lecture course: ‘MRI simulation for sequence development, protocol optimisation and education’, 28-30 June, 2017, Eindhoven, Netherlands.
  • GE MRI EPIC Pulse programming course, Amersham, UK, 2016
  • Working as an MRI competent person for Philips 3T MR scanner at Sir Peter Mansfield Magnetic Resonance Centre (SPMMRC), University of Nottingham, UK, from September 2012 to June 2014.
  • Diffusion MRI pulse sequence design for 1.5T Siemens scanner for body imaging at Apollo Hospital, Dhaka, Bangladesh, February 2015.
  • Diffusion MRI pulse sequence implementation on 3.0T Siemens scanner for brain imaging at National Institute of Neurosciences Hospital, Dhaka, Bangladesh, May 2015.
  • Setting up computerized EMG machine at Department of Arts & Sciences, AUST Dhaka, Bangladesh, June 2015.
  • Attended ESMRMB MR Lecture course: ‘Diffusion what it means and how to measure it’, Lisbon, Portugal, 1-3 October, 2013.
  • Attended Midlands Physics Alliance Graduate School (MPAGS), UK, courses between 2011 and 2012.
  • Completed the Functional imaging (F34FMI) course, School of Physics & Astronomy, University of Nottingham, 2011.
  • Participated in the ‘EU IndiaGrid workshop on Applications in Computational Biology’ May 5-9 2008. Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P.), India
  • Participated in the 'Bose Winter School on current topics: Quantization, Wavelets and their applications to Physics', December 15-19, 2007. Department of Physics, Dhaka University, Co-sponsor- ICTP, Trieste, Italy.

Biomedical Physics, MRI Physics, Quantitative MRI, Machine Learning in Biomedical Image and Signals, Nerve Conduction and EMG, Electromagnetic Interactions with cells, Synthetic cell Physical property study

Google Scholar: https://scholar.google.com/citations?user=xbK6n-MAAAAJ&hl=en        

Orcid: https://orcid.org/0000-0003-3877-0177   

Web of Science Researcher ID: AAY-9607-2020