Dr Siyuan Chen
Lecturer

Dr Siyuan Chen

Ph.D. - Electrical Engineering (UNSW)
M.E. - Microelectronics (RMIT)

Engineering
Electrical Engineering and Telecommunications

Dr. Siyuan Chen obtained the PhD degree in Electrical Engineering from UNSW Sydney. After her PhD, she worked as a Research Intern at NII Tokyo, Research Fellow in the School of Computing and Information Systems at the University of Melbourne, Research Visitor at INRIA, France, then joined UNSW Electrical Engineering and Telecommunications as a Research Fellow. 

Dr. Chen is known internationally for her research on eye activity computing and mental state analysis. Her group has pioneered research methods for physiological computing, evidenced by publications in IEEE Transactions on Cybernetics and IEEE Transactions on Affective Computing.

She has been awarded NICTA Postgraduate Scholarship (2011-2013), Project Scholarship (2011-2013), Commercialization Training Scheme Scholarship (2012) and Australia Endeavor Fellowship (2015).

CALL FOR PAPER  - Special issue on Frontiers in Computer Science 

Recognizing the State of Emotion, Cognition and Action from Physiological and Behavioural Signals

Deadline: 13th November, 2021. Please visit: fron.tiers.in/rt/20500

Location
Rm 447 Electrical Engineering Building (G17) UNSW, Kensington Campus
  • Journal articles | 2021
    Chen S; Epps J, 2021, 'Task Load Estimation from Multimodal Head-Worn Sensors Using Event Sequence Features', IEEE Transactions on Affective Computing, vol. 12, pp. 622 - 635, http://dx.doi.org/10.1109/TAFFC.2019.2956135
    Journal articles | 2020
    Chen S; Epps J, 2020, 'Multimodal Coordination Measures to Understand Users and Tasks', ACM Transactions on Computer-Human Interaction, vol. 27, pp. 1 - 26, http://dx.doi.org/10.1145/3412365
    Journal articles | 2020
    Li H; Epps J; Chen S, 2020, 'Think before you speak: An investigation of eye activity patterns during conversations using eyewear', International Journal of Human Computer Studies, vol. 143, http://dx.doi.org/10.1016/j.ijhcs.2020.102468
    Journal articles | 2020
    Wong HK; Epps J; Chen S, 2020, 'A comparison of methods for mitigating within-task luminance change for eyewear-based cognitive load measurement', IEEE Transactions on Cognitive and Developmental Systems, vol. 12, pp. 681 - 694, http://dx.doi.org/10.1109/TCDS.2018.2876348
    Journal articles | 2019
    Chen S; Epps J, 2019, 'Atomic Head Movement Analysis for Wearable Four-Dimensional Task Load Recognition', IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 2464 - 2474, http://dx.doi.org/10.1109/JBHI.2019.2893945
    Journal articles | 2019
    Chen S; Epps J, 2019, 'Eyelid and Pupil Landmark Detection and Blink Estimation Based on Deformable Shape Models for Near-Field Infrared Video', Frontiers in ICT, vol. 6, http://dx.doi.org/10.3389/fict.2019.00018
    Journal articles | 2019
    Wong HK; Epps J; Chen S, 2019, 'Automatic Pupillary Light Reflex Detection in Eyewear Computing', IEEE Transactions on Cognitive and Developmental Systems, vol. 11, pp. 560 - 572, http://dx.doi.org/10.1109/TCDS.2018.2880664
    Journal articles | 2018
    Epps J; Chen S, 2018, 'Automatic Task Analysis', IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE, vol. 4, pp. 15 - 20, http://dx.doi.org/10.1109/MSMC.2018.2822846
    Journal articles | 2015
    Chen S; McKendrick AM; Turpin A, 2015, 'Choosing two points to add to the 24-2 pattern to better describe macular visual field damage due to glaucoma', British Journal of Ophthalmology, vol. 99, pp. 1236 - 1239, http://dx.doi.org/10.1136/bjophthalmol-2014-306431
    Journal articles | 2015
    Turpin A; Chen S; Sepulveda JA; McKendrick AM, 2015, 'Customizing structure-function displacements in the macula for individual differences', Investigative Ophthalmology and Visual Science, vol. 56, pp. 5984 - 5989, http://dx.doi.org/10.1167/iovs.15-17384
    Journal articles | 2014
    Chen S; Epps J, 2014, 'Efficient and robust pupil size and blink estimation from near-field video sequences for human-machine interaction', IEEE Transactions on Cybernetics, vol. 44, pp. 2356 - 2367, http://dx.doi.org/10.1109/TCYB.2014.2306916
    Journal articles | 2014
    Chen S; Epps J, 2014, 'Using task-induced pupil diameter and blink rate to infer cognitive load', Human-Computer Interaction, vol. 29, pp. 390 - 413, http://dx.doi.org/10.1080/07370024.2014.892428
    Journal articles | 2013
    Chen S; Epps J, 2013, 'Automatic classification of eye activity for cognitive load measurement with emotion interference', Computer Methods and Programs in Biomedicine, vol. 110, pp. 111 - 124, http://dx.doi.org/10.1016/j.cmpb.2012.10.021
    Journal articles | 2013
    Chen S; Epps J, 2013, 'Blinking: Toward wearable computing that understands your current task', IEEE Pervasive Computing, vol. 12, pp. 56 - 65, http://dx.doi.org/10.1109/MPRV.2013.45
  • Conference Papers | 2021
    Chen S; Epps J, 2021, 'What Does the Eye Best Tell? An Investigation of Eye Activity for Emotion, Cognitive load and Task Transition Recognition', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE, pp. 2258 - 2265, presented at 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 17 October 2021 - 20 October 2021, http://dx.doi.org/10.1109/SMC52423.2021.9659188
    Conference Papers | 2021
    Lam C; Epps J; Chen S, 2021, 'Wearable Fatigue Detection Based on Blink-Saccade Synchronisation', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 1186 - 1191, http://dx.doi.org/10.1109/SMC52423.2021.9659006
    Conference Papers | 2021
    Wang Z; Epps J; Chen S, 2021, 'An Investigation of Automatic Saccade and Fixation Detection from Wearable Infrared Cameras', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2250 - 2257, http://dx.doi.org/10.1109/SMC52423.2021.9658954
    Conference Papers | 2020
    Chen S; Epps J, 2020, 'Multimodal Event-based Task Load Estimation from Wearables', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206605
    Conference Papers | 2020
    Li H; Chen S; Epps J, 2020, 'Augmenting turn-taking prediction with wearable eye activity during conversation', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISCA, pp. 676 - 680, presented at Interspeech 2020, http://dx.doi.org/10.21437/Interspeech.2020-3204
    Conference Papers | 2020
    Liu Z; Osei-Brefo E; Chen S; Liang H, 2020, 'UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-Modal Memotion Analysis', in 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings, pp. 1201 - 1207
    Conference Papers | 2019
    Li H; Chen S; Epps J, 2019, 'Wearable Facial Action Unit Classification from Near-field Infrared Eye Images using Deformable Models', in 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019, pp. 343 - 349, http://dx.doi.org/10.1109/ACIIW.2019.8925131
    Conference Papers | 2017
    Chen S; Epps J; Ambikairajah E; Le PN, 2017, 'An investigation of crowd speech for room occupancy estimation', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, Stockholm, Sweden, pp. 324 - 328, presented at INTERSPEECH 2017, Stockholm, Sweden, 20 August 2017 - 24 August 2017, http://dx.doi.org/10.21437/Interspeech.2017-70
    Conference Papers | 2016
    Chen S; Bremond F; Nguyen H; Thomas H, 2016, 'Exploring depth information for head detection with depth images', in 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016, pp. 228 - 234, http://dx.doi.org/10.1109/AVSS.2016.7738060
    Conference Papers | 2013
    Chen S; Epps J; Chen F, 2013, 'An investigation of pupil-based cognitive load measurement with low cost infrared webcam under light reflex interference', in Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, pp. 3202 - 3205, http://dx.doi.org/10.1109/EMBC.2013.6610222
    Conference Papers | 2013
    Chen S; Epps JR; Chen F, 2013, 'Automatic and continuous user task analysis via eye activity', in International Conference on Intelligent User Interfaces, Proceedings IUI, Santa Monica, CA, United states, pp. 57 - 66, presented at 18th International Conference on Intelligent User Interfaces, IUI 2013, Santa Monica, CA, United states, 19 March 2013 - 22 March 2013, http://dx.doi.org/10.1145/2449396.2449406
    Conference Papers | 2011
    Chen S; Epps JR; Chen F, 2011, 'A Comparison of Four Methods for Cognitive Load Measurement', in Proceeding OzCHI '11 Proceedings of the 23rd Australian Computer-Human Interaction Conference, ACM, New York, USA, pp. 76 - 79, presented at Proc. Aust. Int. Conf. on Computer-Human Interaction (Canberra, Australia), 2011., Canberra, Australia, 28 November 2011 - 02 December 2011, http://dx.doi.org/10.1145/2071536.2071547
    Conference Papers | 2011
    Chen S; Epps JR; Ruiz N; Chen F, 2011, 'Eye activity as a measure of human mental effort in HCI', in Proceedings of the 15th International Conference on Intelligent User Interfaces, IUI'11, Association for Computing Machinery, New York, NY, United States, pp. 315 - 318, presented at 2011 15th ACM International Conference on Intelligent User Interfaces, IUI'11, Palo Alto, CA, United States, 13 February 2011 - 16 February 2011, http://dx.doi.org/10.1145/1943403.1943454
    Conference Papers | 2011
    Xu J; Li G; Wang Y; Chen S; Chen F; Hussain S; Ho C, 2011, 'Pupillary response based cognitive workload index under luminance and emotional changes', in Conference on Human Factors in Computing Systems - Proceedings, ACM, New York, NY, USA, pp. 1627 - 1632, presented at 29th Annual CHI Conference on Human Factors in Computing Systems, Vancouver, BC, 07 May 2011 - 12 May 2011, http://dx.doi.org/10.1145/1979742.1979819

$711K of US Army for the research on wearable multimodal behavioural signal modelling for longitudinal automatic task performing as joint CI, 2019
$23K Australia Endeavor Fellowship, 2015

2015, recipient of Australia Endeavor Fellowship to conduct a research proposal in an overseas host institution. The project as carried out at INRIA, France.
2013, recipient of NII Internship program, NII Tokyo
2012, recipient of the Commercialization Training Scheme Scholarship, UNSW
2011, recipient of the NICTA Postgraduate Award Scholarship and The NICTA Research Project Award Scholarship, NICTA 

I have contributed to the overall research performance within the signal processing group in the EET School. Significantly based on my unique research built from my PhD, I successfully completed the projects of Automatic Task Analysis for Wearable Computing, and Human Behaviour Modelling and Analysis based on Processing of Wearable Sensor Signals with my colleagues. These research projects are conducted using a wearable, non-invasive approach with strengths in signal processing and machine learning. Significant outcomes have been produced, demonstrated by publishing high-impact journal papers, and attracting repeated funding.

Topic editor of a special issue on Frontiers in Computer Science

Membership
2020 – present, Associate Fellow of AdvancedHE
2011 – present, IEEE member

2020 – present, ACM member

My teaching interests are in the areas of fundamental electronics, electronic circuits design, signal processing and engineering ethics. I taught first year Engineering Design and Innovation course (ENGG1000) and tutored first year Electrical Engineering course (ELEC1111), second year Circuits and Signals course (ELEC2134) and Modelling and Simulation course (ELEC2146), third year Signal Processing course (ELEC3104), and fourth year & postgraduate Strategic Leadership and Ethics course (ELEC4622 & GSOE9510). Whatever my teaching role is, I endeavour to engage, challenge, and inspire learning in my students.