Taysir Dyhoum

Dr Taysir Dyhoum is a Senior Lecturer in Artificial Intelligence within the School of Computing and Mathematics at Manchester Metropolitan University. They serve as Programme Leader for the BSc (Hons) AI and Data Science programme and act as External Examiner for the MSc Sensors, Data, and Management Programme at Liverpool John Moores University.

Educational qualifications include a PhD, MSc, and BSc. Additional credentials comprise a Postgraduate Certificate in Learning and Teaching in Higher Education (PGCert LTHE) and ongoing pursuit of an MA in Higher Education, both from Manchester Metropolitan University.

Research spans Artificial Intelligence, Machine Learning, Inverse Problems, and Mathematical Modelling with applications in economic policy analysis, thermal dynamics, wave propagation, and medical data. Dr Dyhoum develops computational frameworks to solve complex inverse problems and model interdisciplinary systems.

Recent publications demonstrate strong interdisciplinary integration, particularly applying machine learning to economic policy evaluation and mathematical modelling to physical/biological systems. Key patterns include inverse problem solutions for non-local boundary conditions and statistical innovations for medical datasets.

Scientific recognition includes:

• Fellow of Advance HE (FHEA)
• Fellow of the Institute of Mathematics and its Applications (FIMA)

Dr Dyhoum actively supervises PhD students and mentors through the University of Leeds Mentoring Networking (SUMAC) since 2017. Academic service encompasses peer-reviewing for four journals and membership on PhD examination boards at University of Madras and Teesside University.

Within Manchester Metropolitan University, Dr Dyhoum contributes to the Data Science Research Group and Mathematical Modelling Group, driving collaborative projects in computational methodology development.