معرفی
Dr. Zeeshan Tariq is a Lecturer in Computer Science at Ulster University's School of Computing, Belfast campus. His research bridges theoretical computer science with practical applications in telecommunications, healthcare, and smart infrastructure through the School's Computer Science department.
His research focuses on:
- Advanced process mining techniques for business process optimization
- Machine learning applications in IoT and smart home systems
- Medical image analysis using deep learning for ultrasound interpretation
- Security and privacy frameworks for federated process analytics
Recent publications demonstrate strong industry relevance, particularly in telecommunications (BT collaboration) and healthcare diagnostics. His work shows increasing integration of semi-Markov models with deep learning architectures, addressing challenges in sparse data environments and real-time process monitoring across domains.
Scientific recognition includes:
- TM Forum Catalyst Award for industry contribution to Beyond Connectivity (2022)
Dr. Tariq actively contributes to major research initiatives including BTIIC Phase 2 (2024-2028) and the PwC Advanced Engineering Centre (2021-2026), with consultancy engagements through Innovation Voucher and Innovation Boost projects. His work aligns with UN Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure) through technology transfer and industry-academia collaboration.
He maintains active research leadership within Ulster's Computer Science group, focusing on practical implementations of process mining in industrial settings and medical diagnostics.
