Dr James Baldwin BSc MSc PhD FHEA
Senior Lecturer
Summary
James is the course leader for the MSc Computing within the College of Business, Technology, and Engineering, Department of Computing at Sheffield Hallam University. He is a proactive lecturer that teaches on the foundation year, undergraduate and postgraduate modules. His main teaching focuses on Databases, Cloud Computing and Big Data Analytics. He has successfully supervised dissertations both at undergraduate and postgraduate level. James is an active researcher based on areas of Text Mining, Sentiment Analysis, Social Media, Big Data Analytics and Machine Learning.
Teaching
School of Computing and Digital Technologies
College of Business, Technology and Engineering
Subject Area:
Smart Computing
Courses Taught:
BSc (Honours) Computing
BSc (Honours) Computing with Foundation Year
MSc Computing
MSc Big Data Analytics
Research
BALDWIN, James, BRUNSDON, Teresa, GAUDOIN, Jotham and HIRSCH, Laurence (2018). Towards a social media research methodology: Defining approaches and ethical concerns. International journal on advances in life sciences, 10. https://shura.shu.ac.uk/id/eprint/23420
Publications
Conference papers
Baldwin, J., Brunsdon, T., Gaudoin, J., & Hirsch, L. (2018). Towards a social media research methodology: Defining approaches and ethical concerns. International journal on advances in life sciences, 10. http://www.iariajournals.org/life_sciences/
Theses / Dissertations
Baldwin, J. (2021). Analysing social media data using sentiment analysis in relation to public order. (Doctoral thesis). Supervised by Gaudoin, J. http://doi.org/10.7190/shu-thesis-00439
Presentations
Fernandes, C., Zasada-James, J., Adhikari,, K., Ul Hasan, N., Baldwin, J., & Hirsch, L. (2024). Fog Computing Assisted Anaesthesia Monitoring to Enhance Realtime Surgical Efficiency. Presented at: 4th International Symposium on Sensing and Instrumentation in IoT Era, Azores, Portugal, 2024 http://doi.org/10.1109/ISSI63632.2024.10720491