Raheem Sarwar

Raheem Sarwar is Senior Lecturer at Manchester Metropolitan University Business School with expertise in Natural Language Processing, AI, and Data Science. Holding a PhD from City University of Hong Kong, he teaches courses in Advanced Web Programming, Data Management, and Fundamentals of Programming while supervising doctoral candidates in NLP applications.

His research spans NLP model development, federated learning optimization, and AI applications in healthcare diagnostics. Recent publications examine communication efficiency in personalized federated learning, fairness in algorithmic systems, transformer-based Urdu captioning, and medical image analysis for melanoma detection.

Sarwar maintains an interdisciplinary research profile with applications in healthcare, sustainability, and digital security. Current projects include developing federated learning frameworks with strategic client selection and improving diagnostic accuracy through AI-CNN synergies.