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Bianca Ogbo

Dr, Mrs

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Personal profile

Academic Biography

Dr Bianca is a lecturer in Computer Science in the School of Computing, Engineering and Digital Technologies at Teesside University. She obtained her PhD in Computer Science from Teesside University, United Kingdom in 2023. She also holds an MSc in eBusiness from Oxford Brookes University, United Kingdom in 2014 and a BSc in Information Systems and Software Engineering from Oxford Brookes University in 2011.

Bianca started teaching in Teesside University in 2021 as a part time staff whilst undertaking her PhD before joining Teesside University as a full time member of staff in 2023. Prior to this, she has industry experience as a Business Analyst, Bill of Material Analyst/Engineer and a Business Intelligence Consultant.

Bianca's current research interests span a wide range of topics within Artificial Intelligence and Multidisciplinary research, including behavioural modelling, dynamics of human cooperation, evolutionary game theory, agent-based modelling and technology adoption dynamics.  

Summary of Research Interests

  • Technology Adoption Dynamics
  • Mathematical Modelling and Agent-based Simulation
  • Evolutionary game theory
  • Behavioural Modelling

Enterprise Interest and Activities

  • Actively involved in a team developing AI projects for academia and industry
  • Actively involved in Business Intelligence Applications
  • AI projects targeted at industry 4.0

Learning and Teaching Interests and Activities

Teaching Experience

  • Project supervisor for Masters and Undergraduate Final Year Projects
  • Guiding students in research and project development
  • Modules Covered: Big Data and Business Intelligence using PowerBi and Research Methods
  • Instructor for Masters in Applied Data Science and Artificial Intelligence Program

Educational Initiatives:

  • Actively involved in enhancing the curriculum for the Applied Artificial Intelligence Program
  • Developing updated course materials and resources
  • Integrating industry best practices into the curriculum
  • Promoting innovative teaching methods and tools to enhance student learning experiences
  • Incorporating real-world case studies and practical exercises into classes
  • Encouraging collaborative and project-based learning
  • Actively contributing to a dynamic team dedicated to the development of AI Companions



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