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Dr Ling Ma

BEng, MSc, PhD, SFHEA, MACM, MIET
Reader in Software Engineering

Research interests

Dr Ling Ma's recent research interests are on modern software development methods, information retrieval, case analytics and decision making for legal research. Her other research interests include pedagogy and engineering education.

Her early career research was focused on context-aware computing and environmenal noise classification. Details of this research can be found on the UEA Website.

Publications

Book chapters

  • Atm S. Alam, Ling Ma, Andy Watson, Vindya Wijeratne and Michael Chai, Transnational Education and E-Learning during a Pandemic: Challenges, Opportunities, and Future, January 2022. DOI: 10.5772/intechopen.101089.

Journals

  • Sajjad Hussain, Kelum A. A. Gamage, Md Hasanuzzaman Sagor, Faisal Tariq, Ling Ma and Muhammad Ali Imran, A Systematic Review of Project Allocation Methods in Undergraduate Transnational Engineering Education, Education Sciences, 2019, 9(4), 258, October 2019. Open Access 10.3390/educsci9040258.
  • Ling Ma, Dan Smith and Ben Milner, Acoustic environment classification, ACM Transactions on Speech and Language Processing (TSLP), Volume 3, Issue 2, Pages 1-22, July 2006. Access from ACM DL: 10.1145/1149290.1149292.
  • Dan Smith, Ling Ma, and Nick Ryan, Acoustic environment as an indicator of social and physical context, Journal of Personal and Ubiquitous Computing: Theme issue on Interactive Mobile Information Access, Volume 10, Issue 4, Pages 241 - 254, 2006. Access from ACM DL. or Access from Springer: 10.1007/s00779-005-0045-4.

Conferences

  • Ling Ma, Joint Teaching and Learning Centre: Evolving the UK-China Transnational Education, Advance HE's Annual Teaching and Learning Conference 2023: Shaping the future of HE, Keele University, Stoke-on-Trent, July 2023.
  • Ling Ma, Flexible mode of final year project supervision, assessment and management in a UK-China TNE context, Advance HE's Annual Teaching and Learning Conference 2022: Where next for enhancing student success?, Newcastle, July 2022.
  • Ling Ma, Effective Assessment and Feedback in Software Engineering Group Project, Advance HE’s Annual Teaching and Learning Conference 2019: innovation for teaching excellence, Newcastle, July 2019.
  • Jin Han, Jingyi Zhu, Ling Ma, Bindu Chib, A Visualization Tool for Intellectual Property Law Research in China. IEEE VIS 2018. Berlin. Video preview.
  • Ling Ma and Matthew Tang, Cross-course collaboration between Software and Hardware modules, HEA’s Annual Teaching and Learning Conference 2018: Teaching in the spotlight, Birmingham, July 2018.
  • Ling Ma and Dan Smith, Acoustic environment as an indicator of social and physical context, International workshop on Mobile and Ubiquitous Information Access, MobileHCI 04, Glasgow, Scotland, September 2004.
  • Ling Ma, Dan Smith and Ben Milner, Environmental Noise Classification for Context-Aware Applications, 14th International Conference on Database and Expert Systems Applications - DEXA 2003, In Conference Proceedings with LNCS 2736(Springer Verlag) 360-370, Prague, Czech Republic, September 2003. Access from Springer: 10.1007/978-3-540-45227-0_36.
  • Ling Ma, Dan Smith and Ben Milner, Context Awareness using Environmental Noise Classification, 8th European Conference on Speech Communication and Technology - Eurospeech 2003, In Conference Proceedings 2237-2240, Geneva, Switzerland, September 2003. Access from ISCA.

CONTACT
Email: ling.ma@qmul.ac.uk
Phone: +44 (0)20 7882 7343
LinkedIn: http://www.linkedin.com/in/dr-ling-ma
Office: E307, Engineering Building, Mile End Campus
Address: School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK