By Mr Nariddh Khean

Book Chapters

Düring S; Koenig R; Khean N; Elshani D; Galanos T; Chronis A, 2022, 'Machine Learning, Artificial Intelligence, and Urban Assemblages', in , Wiley, pp. 445 - 452, http://dx.doi.org/10.1002/9781119815075.ch32

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, http://dx.doi.org/10.1007/978-981-13-8410-3_18

Journal articles

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, 18, pp. 353 - 370, http://dx.doi.org/10.1177/1478077120948742

Conference Papers

Khean N; Düring S; Chro-Nis A; König R; Haeusler MH, 2022, 'AN ASSESSMENT OF TOOL INTEROPERABILITY AND ITS EFFECT ON TECHNOLOGICAL UPTAKE FOR URBAN MICROCLIMATE PREDICTION WITH DEEP LEARNING MODELS', in Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia, pp. 273 - 282, http://dx.doi.org/10.52842/conf.caadria.2022.1.273

Brown L; Yip M; Gardner N; Haeusler H; Khean N; Zavoleas Y; Ramos C, 2020, 'Drawing Recognition - Integrating Machine Learning Systems into Architectural Design Workflows', in Proceedings of the 38th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2], Education and Research in Computer Aided Architectural Design in Europe (eCAADe), pp. 289 - 298, presented at Proceedings of the 38th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2], 16 September 2020 - 17 September 2020, http://dx.doi.org/10.52842/conf.ecaade.2020.2.289

Reinhardt D; Haeusler H; Loke L; de Oliveira Barata E; 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 Proceedings of the 37th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) & 23rd Conference of the Iberoamerican Society Digital Graphics [Volume 3], eCAADe, presented at eCAADe 2019: Architecture in the Age of the 4th Industrial Revolution, 11 September 2019 - 13 September 2019, http://dx.doi.org/10.52842/conf.ecaade.2019.3.207

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, http://papers.cumincad.org/cgi-bin/works/paper/caadria2019_126

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 Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, pp. 207 - 216, http://dx.doi.org/10.5151/proceedings-ecaadesigradi2019_549

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, http://papers.cumincad.org/cgi-bin/works/paper/ecaade2018_111

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, http://papers.cumincad.org/data/works/att/caadria2018_126.pdf

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