Biography
Excellence personified, result driven and a Doctoral candidate in Radiography on course for Distinction, with a proven track record and wealth of professional experience acquired in Africa (Nigeria), Asia (Malaysia) and Europe (United Kingdom), spread across Private health firms, Public hospital facilities, Non-governmental/ International organizations (NGOs), and Academic settings.
He is HCPC registered Diagnostic Radiographer, kickstarted his career quite early as Diagnostic Radiographer at University of Nigeria Teaching Hospital following graduation from undergraduate studies in 2016. He grew to Senior Radiographer and later went on to Head the department of Radiography at Catholic Maternity Hospital, Nigeria (2019-2020). Between 2020-2022, transitioned into the NGO space, working as Lead Radiographer in USAID funded health projects (KP Care 1, TB-LON and MHAC) with Heartland Alliance International, headquartered in Chicago (United states), partnered with KNCV Tuberculosis and later with International Organization for Migration-UN Migration. Within this time, was an MSc student researcher /tutor at University of Suffolk United Kingdom. In 2022, he assumed the role as Educator and Lead Researcher in Radiography at Lincoln University College, Malaysia; also concurrently taking up remote research positions as Research Lead/ Research Associate, Program manager and Associate Director with Life science Nigeria, Patient.ng and NaijaPatient.org respectively.
He has Scopus publications, undergone extensive certified CPD trainings, hold editorial and peer-reviewer positions in multiple top scientific journals (Current Medical Imaging, International Journal of Clinical Case Reports and Reviews, Clinical Cardiology and Cardiovascular Interventions, Case Chronicles and Clinical reports, LatIA, etc.), participated in several international workshops/summits, invited as guest speaker in global conferences, and earned numerous national/international awards and accolades, including Proficiency in ICT (AfriHub Scholarship, 2010), Distinction in undergraduate Research (Nigeria, 2016), Distinction in Global Health Research (United Kingdom, 2022), Outstanding Author Award (JMAI, 2024), Outstanding Oral Presenter (Thailand, 2024), and Scholarships for both MSc (United Kingdom) and PhD (Malaysia) studies in 2020 and 2022 respectively to mention but a few. He joined Health Sciences University as Senior Lecturer in Diagnostic Radiography in 2025 and has recently been appointed as Course Lead for the BSc Radiography (Diagnostic Imaging) degree. He is currently working towards Fellowship of the Higher Education Academy (FHEA).
Experience, Areas of interest/expertise
Highly skilled in research (qualitative, quantitative, mixed methods), teaching, academic writing, quality paper reviews, conference presentations and training of students; with expertise in the principle, physics and AI use in Medical Imaging (Conventional Radiography, Ultrasound, CT/MRI and Mammography), as well as public health radiography approaches to improving health outcomes.
Qualifications 
- Doctor of Philosophy in Medical Sciences (Radiography)- Lincoln University College, Malaysia (2025)
- Master of Science in Public Health- University of Suffolk, United Kingdom (2022)
- Diploma in Artificial Intelligence (2024)
- Postgraduate certificate in Ultrasound- Nigerian Institute of Radiographers (2018)
- Bachelor of Science in Radiography – University of Calabar, Nigeria (2016)
Membership
- Health and Care Professions Council (HCPC)
- European Society of Radiology (ESR)
- Radiographers Registration Board of Nigeria (RRBN)
- Association of Radiographers of Nigeria (ARN)
- Junior Engineers Technicians and Scientist Club (JETS)
Research Interest
Artificial Intelligence (ML, DL NLP, Fuzzy logic, Expert system, Robotics), Medical Imaging, Radiography Education, Public Health and Radiology
Research
- Assessing the Performance and Clinical impact of Artificial Intelligence in Chest Imaging: Workflow, Dose optimization and Image interpretation in Chest Radiography
- Convolution theorem in Convolutional Neural Network (CNN): Applicability in Imaging Techniques and Analysis
- Radiography Education and Training: Simulation placement, Virtual placement and Hands on experience
- Molecular Imaging and AI applicability
- 4D Computed Tomography
Publications
- The Genesis of AI: A road map to unlocking future technologies and transforming radiology practice (2025)
- Promoting Breast Cancer Screening among Undeserved Women: An on-site dual approach involving Breast Health Education and AI-assisted 3D Mobile Mammography (2025)
- Emerging multifaceted application of Artificial Intelligence in chest radiography: A Narrative review (2024)
- AI-assisted abnormal CXR findings and correlation with behavioural factors: A Public Health Radiography guide to formulating policies and effective interventions (2025)
- Evaluation of Queue Management System (QMS) use in Chest X-ray for Tuberculosis screening: A case study (2025)
- Image perception by analogue and digital viewing (2016)
Contact details
Email: VChigbunduNwaiwu@aecc.ac.uk
