Dr. Mahbubunnabi Tamal
Associate Professor (Biomedical Engineering) And Founder & Director (Center For AI In Medical Imaging), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Dammam,Saudi Arabia
Summary
A highly motivated, hardworking and passionate individual would like to build an internationally acclaimed academic career based on more than 15 years of research and teaching experience in the field of Artificial Intelligence (AI) in medical physics and imaging, biomedical engineering, computer vision and image processing aiming to improve and develop technologies for human welfares through high quality research and teaching.
Overview
18
18
years of professional experience
8
8
years of post-secondary education
5
5
Certifications
2
2
Languages
Work History
Founder&Director Center for AI in Medical Imaging
Imam Abdulrahman Bin Faisal University
Dammam, Saudi Arabia
10.2019 - Current
- Established preclinical medical imaging center with the first preclinical PET/MRI and spectral micro CT machine in the middle east.
- Obtain and maintain license to use PET radioisotopes for preclinical imaging.
- Lead and manage multidisciplinary research teams consisting of biomedical engineers, radiologists, radiochemists and biologists.
- Regularly attend collaborative meetings with international collaborators (KU Lueven - Belgium and Universiti Sains Malaysia - Malaysia).
- Actively engage in research and development with industries (Mediso Imaging Systems - Hungary and Imdetek - China).
- Publish research results and findings in high quality journals and conferences.
- Produce regular reports for the funding body.
- Acquire further funding.
Associate Professor in Biomedical Engineering
Imam Abdulrahman Bin Faisal University
Dammam, Saudi Arabia
11.2021 - Current
- Supervise postgraduate and undergraduate student projects.
- Teach postgraduate and undergraduate students.
- Produce portfolio according to ABET requirements.
- Develop curriculum for MSc. and MEng. in Biomedical Engineering.
- Serve as a council member for the department.
- Serve as committee heads and members for different department and college committees.
Assistant Professor in Biomedical Engineering
Imam Abdulrahman Bin Faisal University
Dammam, Saudi Arabia
08.2015 - 10.2021
- Supervise postgraduate and undergraduate student projects.
- Teach postgraduate and undergraduate students.
- Produce course portfolio according to ABET requirements.
- Member of the curriculum development team for MSc. and MEng. in Biomedical Engineering.
- Serve as a council member for the department.
- Serve as committee heads and members for different department and college committees.
Postdoctoral Senior Research Associate
Wolfson Molecular Imaging Center, The University of Manchester
MANCHESTER, United Kingdom
06.2011 - 08.2015
Worked on application of AI and computer vision for medical image analysis (e.g., visualization, filtering, segmentation, object recognition and motion estimation), analysis and pharmacokinetic modelling for challenging medical images. I have been involved in developing algorithms and tools to make the analysis as much automatic as possible to minimise error propagation due to user interaction.
The other duties included:
- Contributed to and actively participated in research conception, design and execution to address defined problems.
- Maintained accurate records of research findings and provided statistical analysis of data results.
- Wrote and published peer-reviewed articles concerning findings and highlighted possible applications for findings.
- Published research results in peer-reviewed journals and presented at different seminars and conferences.
- Pursued independent and complementary research interests.
- Leveraged interpersonal and communication skills to mentor PhD, graduate and undergraduate students.
- Contributed to manuscript writing process for publication of research papers.
- Liaised with supervisor to review grants and manuscripts to develop potential publications.
Assistant Professor
Department of Electronics and Communication, East West University
Dhaka, Bangladesh
01.2011 - 05.2011
- Took attendance, graded assignments and maintained student records to assist teachers with administrative tasks and maintain smooth daily operations.
- Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations.
- Contributed to campus activities to promote positive university image.
- Revised course objectives, course materials, instructional and assessment strategies for [Type] courses.
- Proctored exams and provided remediation for learning improvement goals.
- Applied innovative teaching methods to encourage student learning objectives.
Postdoctoral Research Associate
Imaging Sciences and Biomedical Engineering, The University of Manchester
Manchester, United Kingdom
09.2008 - 12.2010
While working as a post-doctoral research associate, I developed several automatic and semi-automatic segmentation and analysis methods using local adaptive threshold and level techniques for different types of medical images (e.g., CT, MRI, PET etc.).
The other duties included:
- Contributed to and actively participated in research conception, design and execution to address defined problems.
- Maintained accurate records of research findings and provided statistical analysis of data results.
- Wrote and published peer-reviewed articles concerning findings and highlighted possible applications for findings.
- Published research results in peer-reviewed journals and presented at different seminars and conferences.
Postdoctoral Research Fellow
Department of Engineering, University of Central Lancashire
Preston, United Kingdom
01.2007 - 08.2008
I was involved in a project titled –“Metrology Guided Radiotherapy” in collaboration with The Developing Technologies Radiotherapy (DTRT) group at the Christie Hospital NHS Foundation Trust and The General Engineering Research Institute (GERI) at Liverpool John Moores University. I worked on developing methodology and tools in image processing that included natural feature and surface extraction from the surface images of the body, image segmentation and surface extraction from CT and MRI images, surface registration and motion estimation. I also developed a non-linear image filter to remove structured noise and enhance features for extraction.
The other duties included:
- Contributed to and actively participated in research conception, design and execution to address defined problems.
- Maintained accurate records of research findings and provided statistical analysis of data results.
- Wrote and published peer-reviewed articles concerning findings and highlighted possible applications for findings.
- Designed research projects and alternative approaches and discussed results with professor.
Education
Ph.D. - Biomedical Enigneering
The University of Manchester
Manchester, United Kingdom 01.2003 - 04.2007
Bachelor of Engineering (BE) - Electrical And Electronics Engineering
Birla Institute of Technology
Ranchi, India 08.1997 - 05.2001
Skills
Medical Image Reconstruction and Analysis with Artificial Intelligence (DL and ML)
Career Highlights
- Founder and director of $2.0 million funded "Center for AI in Medical Imaging" with the first preclinical PET/MRI system in the middle east (https://www.iau.edu.sa/en/news/funding-from-international-collaboration-initiative).
- Secured and managed several research projects with a total funding of more than $3.0 million related to Biomedical Engineering particularly AI in medical imaging (https://www.youtube.com/watch?v=RLToBMNcpm4 ).
- 3 granted, 2 published and 1 filed patents.
- Active international collaborations with universities and companies in the UK, Belgium, Malaysia, Hungary and China.
- Published article on COVID-19 diagnosis using machine learning has been covered in nature machine intelligence review (only 62 articles were selected from more than 2200 articles; https://www.nature.com/articles/s42256-021-00307-0).
- Published article was selected as a featured article by Insight into Imaging Journal (official journal of European Society of Radiology).
- Member of the committee for ABET accreditation.
- More than 30 publications in high quality international journals and conferences.
- Supervised 4 PhD students, 7 MSc students and around 10 Undergraduate Projects.
- Working as a reviewer for IEEE Transactions on Medical Imaging, European Radiology, PLOS One.
- Supervise the project that has been awarded as the best student project in IEEE GCC 2019.
- Taught different courses related to Biomedical, Electrical and Computer Engineering.
Research Interests
- Medical Image Reconstruction and Analysis with Artificial Intelligence (DL and ML)
- Monte Carlo Simulation (GATE: http://www.opengatecollaboration.org/)
- Application of nanoparticles in diagnostic imaging and therapy
- Signal and Image processing
- Biomedical Engineering
Courses Taught
Graduate Courses:
AI in Medical Image Computing, Physics of Medical Imaging, CT and Nuclear Medicine, Magnetic Resonance Imaging
Undergraduate Courses:
Medical Image Processing and Communication, Biomedical Imaging Systems, Biomedical Instrumentation I & II, Design of Medical Devices, Microprocessor, Computer Programming (Matlab, C++, Python), Introduction to Communication, Professional Practice and Ethics, Research Methodology
Certification
Experimental Design and Practical Data Analysis in Positron Emission Tomography (Imperial College, London).
Patents
Granted Patents:
- Gradient vector orientation based nonlinear diffusion filter ( US11049221B2 ) URL: https://patents.google.com/patent/US11049221B2/en
- Method for chromatic calibration of an embedded camera of a mobile wireless device ( US11035733B2 ) URL: https://patents.google.com/patent/US11035733B2/en
- System, device, and method for generating energy using a thermoelectric generator ( US11043624B2 ) URL: https://patents.google.com/patent/US11043624B2/en
Published Patents:
- Medical image denoising method ( US20210264573A1 ) URL: https://patents.google.com/patent/US20210264573A1/en
- Thermoelectric power generation method using a subteranean heat exchanger ( US20210202816A1 ) URL: https://patents.google.com/patent/US20210202816A1/en
Filed Patents:
- System, method and computer readable storage medium for accurate and rapid early diagnosis of COVID-19 from chest X-ray ( 17/507309 )
Journal Publications
- N. Anan, R. Zainon, M. Tamal (2022). A review on advances in 18F-FDG PET/CT radiomics standardisation and application in lung disease management. Insights into imaging 13 (1), 1-22. https://doi.org/10.1186/s13244-021-01153-9
- M. Tamal, M. Althobaiti, A. H. Alomari, S. T. Dipty, K. T. Suha, M. Al-Hashim (2022). Synchrotron X-ray Radiation (SXR) in Medical Imaging: Current Status and Future Prospects. Applied Sciences, 12(8), 3790. https://doi.org/10.3390/app12083790
- S. Z. Mat Isa, R. Zainon, M. Tamal (2022). State of the Art in Gold Nanoparticle Synthesisation via Pulsed Laser Ablation in Liquid and Its Characterisation for Molecular Imaging: A Review. Materials 15 (3), 875. https://doi.org/10.3390/ma15030875
- A. M. Alshami, T. K. Alshammari, M. I. AlMuhaish, T. M. Hegazi, M. Tamal and F. A. Abdulla (2021). Sciatic nerve excursion during neural mobilization with ankle movement using dynamic ultrasound imaging: a cross-sectional study. Journal of Ultrasound, 1-9
- M. Tamal, M. Alshammari, M. Alabdullaha, R. Hourania, H. A. Alola and T. M. Hegazi (2021). An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray. Expert Systems with Applications 180. https://doi.org/10.1016/j.eswa.2021.115152
- B. Alsunaidi, M. Althobaiti, M. Tamal, W. Albaker, I Al-Naib (2021) A review of non-invasive optical systems for continuous blood glucose monitoring. Sensors 21 (20), 6820. https://doi.org/10.3390/s21206820
- M. Tamal (2021). A Phantom Study to Investigate Robustness and Reproducibility of Grey Level Co-Occurrence Matrix (GLCM)-Based Radiomics Features for PET. Applied Sciences, 11(2). https://doi.org/10.3390/app11020535
- M. Tamal (2020). Intensity threshold based solid tumour segmentation method for Positron Emission Tomography (PET) images: A review. Heliyon, 6 (10), e05267. https://doi.org/10.1016/j.heliyon.2020.e05267
- M. Tamal (2019). A phantom study to assess the reproducibility, robustness and accuracy of PET image segmentation methods against statistical fluctuations. PLoS One, 14(7), e0219127. https://doi.org/10.1371/journal.pone.0219127
- M. Tamal (2019). A hybrid region growing tumour segmentation method for low contrast and high noise Nuclear Medicine (NM) images by combining a novel non-linear diffusion filter and global gradient measure (HNDF-GGM-RG). Heliyon, 5 (12), e02993. https://doi.org/10.1016/j.heliyon.2019.e02993
- M. Tamal (2019). A Fully Automatic Global Gradient Measure Based 3D Region Growing Solid Tumour Segmentation Method (3D-GGM-RG) for Low Contrast and Low Count Positron Emission Tomography. Journal of Medical Imaging and Health Informatics, 9(9), 2022-2030. https://doi.org/10.1166/jmihi.2019.2803
- A. Lamarca, P. Manoharan, P. J Julyan, M. Tamal, M. Rao, A. Cotterill, I. Trigonis, M. G. McNamara, R. A. Hubner, Z. Win, J. W. Valle and A. Saleem (2019). Fluorothymidine Positron Emission Tomography (FLT-PET) Repeatability and Response Evaluation in Advanced Pancreatic Cancer Patients Treated with Gemcitabine-Based Chemotherapy . Clinical Oncology and Research, 2(5), 1-11. 10.31487/j.COR.2019.05.17
- M Tamal, C Robinson, D Clarke, J Anton-Rodriguez, D Morris, A Jackson, M-C Asselin (2015). Investigation of the Factors Affecting Quantification of Heterogeneity derived from PET Images of the Torso NEMA Phantom. European Journal of Nuclear Medicine and Molecular Imaging, Vol 42, S302.
- I. Trigonis and P. Koh, B. Taylor, M. Tamal, M. Earl, D. Ryder, H. Young, C Faivre-Finn, F. Blackhall, M-C Asselin and A. Jackson (2014). Early reduction in tumour [F-18]fluorothymidine (FLT) uptake in patients with non-small cell lung cancer (NSCLC) treated with radiotherapy alone. European Journal of Nuclear Medicine and Molecular Imaging, vol. 41, pp. 682-693.
- M. Tamal, I. Trigonis, L. Horsley, B. Taylor, P. Manoharan, A. Jackson and M-C Asselin (2012). Semi-automatic extraction of image-derived input functions using Temporal Shape Driven Filter (TSDF) for improved quantification of whole body dynamic FLT-PET images. European Journal of Nuclear Medicine and Molecular Imaging, vol. 39(2), s.515.
- I. Trigonis, P. Koh, M-C Asselin, M. Tamal, B. Taylor, M. Earl, O. Ataman, A. Jackson, C. Faivre-Finn and F. Blackhall (2012). Imaging early radiotherapy (RT)-induced changes of proliferation in patients with non-small cell lung cancer (NSCLC) using FLT-PET. Journal of Thoracic Oncology, vol. 7(6), s50.
- I. Trigonis and P. Koh, M-C. Asselin, M. Tamal, B. Taylor, T. Goldstone, E. Dean, O. Ataman, A. Jackson, C. Faivre-Finn, F. Blackhall (2011). Evaluation of FLT PET as early predictor of response to radical RT in patient with non-small cell lung cancer. Journal of Thoracic Oncology, vol. 6(6), s1127-s1128.
- P. J. Markiewicz, M. Tamal, P. J. Julyan, D. L. Hastings and A. J. Reader (2007). High Accuracy Multiple Scatter Modelling for 3D Whole Body PET. Physics in Medicine and Biology, vol. 52(3), pp. 829-847.
- M. Tamal, A. J. Reader, P. J. Markiewicz, D. L. Hastings and P. J. Julyan (2006). Noise Properties of Four Strategies for Incorporation of Attenuation and Scatter Information in PET Reconstruction. IEEE Transaction on Nuclear Science, vol. 53(5), pp. 2778-2786.
· M. Tamal, A. J. Reader, P. J. Markiewicz, D. L. Hastings and P. J. Julyan (2006). Noise Properties of Four Strategies for Incorporation of Attenuation and Scatter Information in PET Reconstruction. IEEE Transaction on Nuclear Science, vol. 53(5), pp. 2778-2786.
Conference Records
- M. Tamal (2019). Grey Level Co-occurrence Matrix (GLCM) as a Radiomics Feature for Artificial Intelligence (AI) Assisted Positron Emission Tomography (PET) Images Analysis IOP Conference Series: Material Science and Engineering, Vol 646, 1-8.
- S. Talay, H. Mubarak, A. Aldarwish, F. Alhamoud, N. Aljabr, K. Hameed and M. Tamal (2018). Integration of 3D Virtual Reality (VR) in Diagnostic and Therapeutic Imaging. 5th International Conference on Radiation Medicine, Riyadh, March, 2018.
- M. Tamal (2017). Smart phone: a cost-effective point-of-care (POC) medical device for non-invasive diagnosis of anemia. 5th International Conference on Radiation Medicine, Riyadh, March, 2018.
- M. Tamal (2017). Nonlinear Diffusion Filter for Low Count Positron Emission Tomography Utilizing Orientation Information of Neighbouring Gradient Vectors The 9th IEEE-GCC Conference, Manama, Bahrain, May, 201
- M. Tamal (2015). Gradient vector orientation based nonlinear diffusion filter for low count Positron Emission Tomography – a novel parameter free approach. The 8th Saudi Medical Physics Conference (KFMC Conference on Physics & Engineering in Medicine), Riyadh, KSA, October,.
- A. Lamarca, P. Manoharan, M. C. Asselin, I. Trigonis, P. Hindmarsh, S. Wood, R. McMahon, M. Rao, R. Hubner, M. Tamal, D. O'Reilly, R. Deshpande, J. W. Valle and A. Saleem (2013). Pilot, proof-of-concept studies for determining the feasibility of the use of FLT-PET in patients with pancreatic adenocarcinoma. Presented at American Society for Clinical Oncology, Chicago, Illinois
- M. Tamal, I. Trigonis, M. C. Asselin, A. Armstrong, L. H. Horsely, G. Jayson and A. Jackson (2011). Temporal Shape Driven Filtering to Enhance Contrast of Liver Against Liver Metastases and Other Organs. NCRI Conference, Liverpool, UK, November, 201
- I. Trigonis and P. Koh, M. C. Asselin, M. Tamal, B. Taylor, T. Goldstone, E. Dean, O. Ataman, A. Jackson, C. Faivre-Finn, F. Blackhall (2011). FLT PET in RAdiation DAmage and Resistance in Lung Cancer Radiotherapy (RADAR). 14th World conference on lung cancer, Amsterdam, Netherlands.
- M. Tamal (2011). Positron Emission Tomography: A Multidisciplinary Endeavour in Functional Nuclear Medicine Imaging for in vivo cancer studies. National conference on physics for development, Dhaka, Bangladesh.
- M. Tamal, I. Trigonis, M. C. Asselin, A. Armstrong, L. H. Horsely, G. Jayson and A. Jackson (2010). Temporal Shape Driven Filtering to Enhance Contrast of Liver Against Liver Metastases and Other Organs. World Molecular Imaging Congress, Koyoto, Japan.
- B. J. Matuszewski, M. Tamal, G. Price and C. J. Moore (2008). Diffusion Filter for Structured Noise Removal. Medical Image Understanding and Analysis, Dundee, UK.
- M. Tamal, A. J. Reader, P. J. Markiewicz, P. J. Julyan and D. L. Hastings (2006). Impact of Scatter Modeling Error on 3D Maximum Likelihood Reconstruction in PET. Proc. Conf. Rec. IEEE NSS-MIC, vol. 5, pp. 3154-3158
- P. J. Markiewicz, M. Tamal, P. J. Julyan, D. L. Hastings and A. J. Reader (2006). A New, Dedicated, High Accuracy Multiple Order Scatter Model for 3D Whole Body PET. Proc. Conf. Rec. IEEE NSS-MIC, vol. 5, pp. 2840-2844, 2006
- P. J. Markiewicz, A. J. Reader, M. Tamal, P. J. Julyan and D. L. Hastings (2205). An Advance Analytical Method Incorporating the Geometrical Properties of Scatter and Radiation Emissions into the Sys- tem Model for the True Component of 3D PET Data. Proc. Conf. Rec. IEEE NSS-MIC, vol. 4, pp. 2310-2314.
- P. J. Markiewicz, A. J. Reader, M. Tamal, P. J. Julyan and D. L. Hastings (2005). Scattered Photon Infor- mation Inclusion in 3D PET Image Reconstruction. Fully Three-Dimensional Image Reconstruction Meeting in Radiology and Nuclear Medicine, Salt Lake City, Utah, USA.
- M. Tamal, A. J. Reader, P. J. Markiewicz, D. L. Hastings and P. J. Julyan (2004). Noise Properties of Four Strategies for Incorporation of Attenuation and Scatter Information in 3D Whole Body PET. Proc. Conf. Rec. IEEE NSS-MIC, vol. 5, pp. 2840-2844.
Working Papers
- AI based radiomics feature classification for preclinical PET/MRI for lung cancer and idiopathic pulmonary fibrosis models.
- Preclinical PET/MRI image reconstruction and quality assessment with radiolabeled gold nanoparticles.
- Automatic diagnosis and severity scoring system for infectious diseases (COVID-19, Tuberculosis and Pneumonia) from chest X-ray.
- Deep learning based CT image reconstruction for very limited views.
- Deep learning based CT lung image classification for cancer, infection and inflammation.
- Radiomics features classification for clinical lung PET images.
Affiliations
- Member of Institute of Physics in Engineering and Medicine (MIPEM)
- Member of Institute of Electrical and Electronics Engineers (IEEE)
- Member of Saudi Medical Physics Society
- Member of Bangladesh Medical Physics Society
References
Available Upon Request
Timeline
Associate Professor in Biomedical Engineering
Imam Abdulrahman Bin Faisal University
11.2021 - Current
Founder&Director Center for AI in Medical Imaging
Imam Abdulrahman Bin Faisal University
10.2019 - Current
Assistant Professor in Biomedical Engineering
Imam Abdulrahman Bin Faisal University
08.2015 - 10.2021
Postdoctoral Senior Research Associate
Wolfson Molecular Imaging Center, The University of Manchester
06.2011 - 08.2015
Assistant Professor
Department of Electronics and Communication, East West University
01.2011 - 05.2011
Postdoctoral Research Associate
Imaging Sciences and Biomedical Engineering, The University of Manchester
09.2008 - 12.2010
Postdoctoral Research Fellow
Department of Engineering, University of Central Lancashire
01.2007 - 08.2008
Ph.D. - Biomedical Enigneering
The University of Manchester
01.2003 - 04.2007
Bachelor of Engineering (BE) - Electrical And Electronics Engineering
Birla Institute of Technology
08.1997 - 05.2001
Experimental Design and Practical Data Analysis in Positron Emission Tomography (Imperial College, London).
Good Clinical Practice (Christie Hospital NHS Trust).
Statistical Image Reconstruction Methods (IEEE NSS-MIC).
Radiation Safety and Awareness Course (The University of Manchester).
Demonstrator Training Workshop (The University of Manchester).
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