Muhammad Awais


Accepting PhD Students

PhD projects

Accepting self funded PhD students and supporting PhD students for state/national/international funding applications in the domain of AI, machine learning, deep learning, Applied and Digital Health, Wearable Computing, Data science, AI enabled Internet of Things and Industry 4.0. Awais supervised several master and PhD research students in the past and participated in national and international funding proposals.

Personal profile

Academic Background

He is a Biomedical and Electrical Engineer working in the domain of data science/mining, AI, applied machine learning and deep learning and AI enabled internet of things (IOT), Industry 4.0, data analytics, signal processing to develop ICT (Information and communication Technologies) based systems for wearable computing, remote sensing, digital health and industry 4.0. Prior to joining UEA, Awais worked as a senior lecturer at the Edge Hill University, UK.

He previously worked as research fellow at EEI, University of Hull, UK; ICON, University of Leeds, UK; PHS, University of Bologna, Italy and visting fellow at GeMS, NTNU, Norway. He is member of Institute of Electrical and Electronic Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS). 

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or