Mr Muhammad Farooq Shaikh - PhD Student
Contact
Room D229, School of Engineering of Warwick, Coventry, CV4 7AL
Email: /
Phone: +44-7440669456 / +44-7957285666
Research Interests
- Artificial Intelligence.
- Medical Devices.
- Health Care:
- Innovative pediatric neurology solutions using AI and machine learning.
- Integration of blockchain technology for secure healthcare data management.
- Application of bioinformatics in pediatric neurological disorder diagnosis and treatment.
- Development of advanced machine learning models for medical imaging analysis in children.
Positions & Responsibilities
- PhD Researcher at Paperbox Health S.r.l. and University of Warwick (collaborated).
- Leading research in pediatric neurology solutions.
- Conducting doctoral studies in bioengineering/computer science.
- Collaborating on multidisciplinary projects.
- Applying expertise in bioinformatics, blockchain, and AI.
Bio-sketch
Awards and Grants
- WIE Events & Activities Fund Award - University of Warwick, United Kingdom (May 2026 – Jul 2026)
Awarded funding support for targeted digital promotion and accessibility-enhanced online engagement activities focused on inclusive participation, interdisciplinary collaboration, and public engagement in research and innovation. - PhD Sponsorship and Research Funding - University of Warwick & Paperbox Health SRL (Jan 2024 – Jul 2027)
Fully funded Doctor of Philosophy (PhD) research sponsorship supporting research in Artificial Intelligence, Blockchain, Digital Twins, and Healthcare Technologies. Funding includes tuition fees and stipend support jointly provided by the School of Engineering, University of Warwick, and Paperbox Health SRL.
Publications
- An ethical proof-of-authority blockchain framework for anti-corruption in public grant disbursement and fundraising: a multi-level governance and threat-modelled approach
- Serious gaming and eye-tracking for the screening, monitoring, and diagnosis of neurodevelopmental disorders in children: a systematic literature review
- A blockchain framework using proof of authority and smart contracts for ethical and secure healthcare asset management
-
Emotions classification using ML techniques on EEG dataset (BCI-brain computer interface)