Muhammad Awais is a Biomedical and Electrical Engineer working in the domain of data mining, internet of things, 5G/6g Communication Technologies, Industry 4.0, data analytics, signal processing, application based machine 1learning and deep learning to develop ICT (Information and Communication Technologies) based systems for remote sensing, digital health, and industry 4.0. He received the B.S. electronic engineering degree from Mohammad Ali Jinnah University, Pakistan, the M.S. degree in electrical and electronic engineering from the Universiti Teknologi PETRONAS, Malaysia and PhD in Biomedical, Electrical and System Engineering from the University of Bologna, Italy. He previously worked as research fellow in the University of Hull, UK; University of Leeds, UK, and University of Bologna, Italy. He is member of the Institute of Electrical and Electronic Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS).
Research Keywords & Expertise
artificial intelligenc...
Data Analytics
Industry 4.0
Biomedical signal proc...
Digital Health
Internet Of Things (Io...
Applied machine learni...
Fingerprints
20%
Internet Of Things (IoT)
12%
artificial intelligence
6%
Industry 4.0
Short Biography
Muhammad Awais is a Biomedical and Electrical Engineer working in the domain of data mining, internet of things, 5G/6g Communication Technologies, Industry 4.0, data analytics, signal processing, application based machine 1learning and deep learning to develop ICT (Information and Communication Technologies) based systems for remote sensing, digital health, and industry 4.0. He received the B.S. electronic engineering degree from Mohammad Ali Jinnah University, Pakistan, the M.S. degree in electrical and electronic engineering from the Universiti Teknologi PETRONAS, Malaysia and PhD in Biomedical, Electrical and System Engineering from the University of Bologna, Italy. He previously worked as research fellow in the University of Hull, UK; University of Leeds, UK, and University of Bologna, Italy. He is member of the Institute of Electrical and Electronic Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS).