Research Assistant

Mr Nariddh Khean

Computer Science and Engineering
  • Book Chapters | 2019
    Haeusler M; Khean N; Fabbri A; Gerber D, 2019, 'Examining Potential Socio-economic Factors that Affect Machine Learning Research in the AEC Industry', in Lee J-H (ed.), Computer-Aided Architectural Design. "Hello, Culture" 18th International Conference, CAAD Futures 2019, Daejeon, Republic of Korea, June 26–28, 2019, Selected Papers, Springer, pp. 247 - 263,
  • Journal articles | 2020
    Reinhardt D; Haeusler MH; London K; Loke L; Feng Y; De Oliveira Barata E; Firth C; Dunn K; Khean N; Fabbri A; Wozniak-O’Connor D; Masuda R, 2020, 'CoBuilt 4.0: Investigating the potential of collaborative robotics for subject matter experts', International Journal of Architectural Computing, vol. 18, pp. 353 - 370,
  • Conference Papers | 2019
    Reinhardt D; Haeusler MH; Loke L; Barata EDO; Firth C; Khean N; London K; Feng Y; Watt R, 2019, 'CoBuilt Towards a novel methodology for workflow capture and analysis of carpentry tasks for human-robot collaboration', in Sousa JP; Henriques GC; Xavier JP (eds.), Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, ECAADE-EDUCATION & RESEARCH COMPUTER AIDED ARCHITECTURAL DESIGN EUROPE, Univ Porto, Fac Architecture, Porto, PORTUGAL, pp. 207 - 216, presented at 37th Conference on Education-and-Research-in-Computer-Aided-Architectural-Design-in-Europe (eCAADe) / 23rd Conference of the Iberoamerican-Society-Digital-Graphics (SIGraDi), Univ Porto, Fac Architecture, Porto, PORTUGAL, 11 September 2019 - 13 September 2019,
    Conference Papers | 2019
    NG JMY; Khean N; Madden D; Fabbri A; Gardner N; Haeusler M; Zavoleas Y, 2019, 'Optimising Image Classification: Implementation of Convolutional Neural Network Algorithms to Distinguish between Plans and Sections within the Architectural, Engineering and Construction (AED) Industry', in Haeusler M; Schnabel MA; Fukuda T (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference, CAADRIA, Victoria University of Wellington, pp. 795 - 804, presented at CAADRIA, Victoria University of Wellington, 15 April 2019 - 18 April 2019,
    Conference Papers | 2018
    Khean N; Doherty B; Fabbri A; Gardner N; Haeusler M, 2018, 'The Introspection of Deep Neural Networks Towards Illuminating the Black Box: Training Architects Machine Learning via Grasshopper Definitions', in Proceedings of the 23rd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2018, association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Tsinghua University, Beijing, pp. 237 - 246, presented at Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference, Tsinghua University, Beijing, 17 May 2018 - 19 May 2018,
    Conference Papers | 2018
    Khean N; Fabbri A; Haeusler M, 2018, 'Learning Machine Learning as an Architect, How to? Presenting and evaluating a Grasshopper based platform to teach architecture students machine learning', in Kępczyńska-Walczak A; Białkowski S (ed.), computing a better tomorrow - 36th eCAADE, Lodz, Poland, pp. 95 - 102, presented at 36th eCAADe conference, Lodz, Poland, 19 September 2018 - 21 September 2018,