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Fluorescence lifetime assisted enhanced security feature in travel documents for border control and security applications. (2019)
Conference Proceeding
JOHNY, J., OFFICER, S., FUNG, W. K. and PRABHU, R. 2019. Fluorescence lifetime assisted enhanced security feature in travel documents for border control and security applications. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 3rd Counterterrorism, crime fighting, forensics, and surveillance technologies conference 2019: co-located with the Society of Photo-Optical Instrumentation Engineers (SPIE) Security and defence 2019 conference, 9-12 September 2019, Strasbourg, France. Proceedings of the SPIE, 11166. Bellingham, WA: SPIE [online], article ID 1116608. Available from: https://doi.org/10.1117/12.2535742

Border management and security challenges are increasing considerably in recent years. One of the major concerns is counterfeiting and fraudulent use of identity and other travel documents for crossing border controls. This poses serious threats and... Read More about Fluorescence lifetime assisted enhanced security feature in travel documents for border control and security applications..

Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. (2019)
Conference Proceeding
SABRA, A., FUNG, W.-K. and CHURN, P. 2018. Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. In Correll, N., Schwager, M. and Otte, M. (eds.) Distributed autonomous robotic systems: proceedings of the 14th International distributed autonomous robotic systems symposium 2018 (DARS 2018), 15-17 October 2018, Boulder, USA. Springer proceedings in advanced robotics, 9. Cham: Springer [online], pages 109-123. Available from: https://doi.org/10.1007/978-3-030-05816-6_8

Localization in large-scale underwater swarm robotic systems has increasingly attracted research and industry communities’ attention. An optimized confidence-based localization algorithm is proposed for improving localization coverage and accuracy by... Read More about Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms..