Masum Billah

Senior Lecturer

Digital, Tech, Innovation & Business

Masum obtained his electronic engineering-related academic, research and industrial experience from England and Bangladesh. His main area of interest is the real-world problems for ‘Health and Wellbeing’.

Masum has a multi-disciplinary academic/research/industrial experience in data analytics, telecommunications, wireless body area network, artificial intelligence, and machine learning. He has been researching, lecturing and supervising students (MSc/BEng) at Staffordshire University on Engineering at both under-graduate and post-graduate levels, in face-to-face and distance learning modes of study. He is an extremely active STEM Ambassador, promoting engineering within schools, colleges and at University at many events and competitions.

Professional memberships and activities

  • Fellow of The Higher Education Academy (FHEA)
  • STEM Ambassador
  • Member of the IEEE (MIEEE) 

Academic qualifications

  • MSc in Computer & Network Engineering
  • Postgraduate Certificate in Higher and Professional Education (PgCHPE)
  • Postgraduate Certificate in Research Methods (PgCRM)
  • BSc in Computer & Network Engineering


  • Wireless Sensor Network design, implementation & optimisation
  • Machine learning techniques
  • Implementation of flipped learning in engineering
  • IoT Cyber security

Research interests

  • Healthcare research
  • Telecommunications

Enterprise and commercial interests

  • Data analytics
  • Engineering Consultancy and short courses



  • ELEC50302 Communications (DL)
  • MECH50497 Applications of Control (DL)
  • ELEC51000 Automation And Control Engineering
in the UK for Quality Education

Sustainable Development Goal 4, Times Higher Education Impact Rankings 2023

for Career Prospects

Whatuni Student Choice Awards 2023

for Facilities

Whatuni Student Choice Awards 2023

for Social Inclusion

The Times and The Sunday Times Good University Guide 2023

of Research Impact is ‘Outstanding’ or ‘Very Considerable’

Research Excellence Framework 2021

of Research is “Internationally Excellent” or “World Leading”

Research Excellence Framework 2021

Four Star Rating

QS Star Ratings 2021