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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Yin-Chi Chan, PhD
About me
Posts
More software recommendations
Published:
Some more software recommendations to go with my previous post, in no particular order:
Some of my favorite software
Published:
Below are some of my favorite software I use for my academic work:
Salabim: a discrete-event simulation library for Python
Published:
At one point in my research career, I was creating discrete-event simulation programs from scratch. I had even taught others how to do so as part of my teaching assistant duties at the City University of Hong Kong. Eventually, I discovered SimPy, which saved me the hassle of writing my own event loops, and I started teaching that as well – my GitHub contains a set of examples for this purpose. However, monitoring queues and resources in SimPy requires a bit of monkey-patching. Trying to find an existing solution, I turned to an alternate Python discrete-event simulation library called salabim.
portfolio
HarvardX PH125.9x: Movielens project
R project for partial completion of the edX course HarvardX PH125.9x: “Data Science: Capstone”.
HarvardX PH125.9x: Higgs dataset classification
R project for partial completion of the edX course HarvardX PH125.9x: “Data Science: Capstone”.
SimPy Examples
Code examples for the SimPy discrete-event simulation library.
preprints
Improved Performance and Stability in Overflow Loss Systems via Exchange of Congestion Information
Published:
Trials the use of congestion information exchange as a form of admission control for stabilising the performance of overflow loss systems in which overflow traffic is penalised with longer average service times.
Recommended citation:
E. W. M. Wong and Y. C. Chan, “Improved performance and stability in overflow loss systems via exchange of congestion information,” TechRxiv preprint, Jan. 2023. /files/wong2023_preprint.pdf
Stability analysis of an epidemic model with two competing variants and cross-infections
Published:
Proposes a two-strain epidemiological model with mutations, e.g., for COVID-19, and studies its equilibria and dynamical behaviour under various parameter settings.
Recommended citation:
R. Niu, Y.-C. Chan, S. Liu, E. W. M. Wong, and M. A. van Wyk, “Stability analysis of an epidemic model with two competing variants and cross-infections,” Research Square preprint, Aug. 2023. /files/niu2023_preprint.pdf
Building-Information-Modelling to Discrete-Event-Simulation Integration: Towards the Development of a Space-Process Digital Twin
Published:
Presents a framework for integrating building information modelling (BIM) data and discrete-event simulation for a digital twin of a healthcare process.
Recommended citation:
N. Moretti, Y.-C. Chan, M. Nakaoka, A. Mukherjee, J. Merino, and A. K. Parlikad, “Building Information Modelling to Discrete Event Simulation Integration Towards the Development of a Space-Process Digital Twin”. SSRN preprint, May 2024. /files/moretti2024_preprint.pdf
publications
Performance analysis for overflow loss systems of processor-sharing queues
Published in IEEE Conference on Computer Communications (INFOCOM), 2015-04-26
Applies the Information Exchange Surrogate Approximation to the blocking probability evaluation of overflow loss networks of processor-sharing queues.
Recommended citation:
Y.-C. Chan, J. Guo, E. W. M. Wong, and M. Zukerman, “Performance analysis for overflow loss systems of processor-sharing queues,” in 2015 IEEE Conference on Computer Communications (INFOCOM), (Hong Kong), IEEE, Apr. 2015. /files/chan2015_infocom.pdf
Surrogate models for performance evaluation of multi-skill multi-layer overflow loss systems
Published in Performance Evaluation, 2016-07-07
Applies the Information Exchange Surrogate Approximation to the blocking probability evaluation of a multi-layer network of processing-sharing queues with both non-hierarchical intra-layer and hierarchical inter-layer overflow of requests.
Recommended citation:
Y.-C. Chan, J. Guo, E. W. M. Wong, and M. Zukerman, “Surrogate models for performance evaluation of multi-skill multi-layer overflow loss systems,” Performance Evaluation, vol. 104, pp. 1–22, Oct. 2016. /files/chan2016_peva.pdf
Overflow models for the admission of intensive care patients
Published in Health Care Management Science, 2017-07-28
Proposes a new model for a network of ICUs and an efficient analytical method for evaluating the patient rejection rate. Patients are split into three types based on priority and whether they can be referred to an alternate ICU.
Recommended citation:
Y.-C. Chan, E. W. M. Wong, G. Joynt, P. Lai, and M. Zukerman, “Overflow models for the admission of intensive care patients,” Health Care Management Science, vol. 21, pp. 554–572, Dec. 2018. /files/chan2017_hcms.pdf
Energy efficiency-QoS tradeoff in cellular networks with base-station sleeping
Published in GLOBECOM 2017 – 2017 IEEE Global Communications Conference, 2017-12-04
Models a network of base stations, with each BS as a processor-sharing queue with vacations (sleeping).
Recommended citation:
J. Wu, E. W. M. Wong, Y.-C. Chan, and M. Zukerman, “Energy efficiency-QoS tradeoff in cellular networks with base-station sleeping,” in GLOBECOM 2017 – 2017 IEEE Global Communications Conference, IEEE, Dec. 2017. /files/wu2017_globecom.pdf
Blocking probability evaluation for non-hierarchical overflow loss systems
Published in IEEE Transactions on Communications, 2017-12-18
An in-depth introduction to the Information Exchange Surrogate Approximation (IESA) for evaluating blocking probability in non-hierarchical overflow loss networks (NH-OLSs).
Recommended citation:
Y.-C. Chan and E. W. M. Wong, “Blocking probability evaluation for non-hierarchical overflow loss systems,” IEEE Transactions on Communications, vol. 66, pp. 2022–2036, May 2018. /files/chan2018_tcom.pdf
Performance Evaluation of 5G mmWave Networks with Physical-Layer and Capacity-Limited Blocking
Published in 2020 IEEE 21st International Conference on High Performance Switching and Routing (HPSR), 2020-05-11
Proposes a model of a 5G millimetre-wave network and a decomposition-based approximation method for evaluating its blocking probability.
Recommended citation:
J. Wu, M. Wang, Y.-C. Chan, E. W. M. Wong, and T. Kim, “Performance evaluation of 5G mmWave networks with physical-layer and capacity-limited blocking,” in 2020 IEEE 21st International Conference on High Performance Switching and Routing (HPSR), IEEE, May 2020. /files/wu2020_hpsr.pdf
Power Consumption and GoS Tradeoff in Cellular Mobile Networks With Base Station Sleeping and Related Performance Studies
Published in IEEE Transactions on Green Communications and Networking, 2020-06-05
Models a network of base stations, with each BS as a processor-sharing queue with vacations (sleeping), and examines the trade-off between blocking probability and energy consumption. Journal version of GLOBECOM 2017 paper.
Recommended citation:
J. Wu, E. W. M. Wong, Y.-C. Chan, and M. Zukerman, “Power consumption and GoS tradeoff in cellular mobile networks with base station sleeping and related performance studies,” IEEE Transactions on Green Communications and Networking, vol. 4, pp. 1024–1036, Dec. 2020. /files/wu2020_tgcn.pdf
Modeling the COVID-19 Pandemic Using an SEIHR Model With Human Migration
Published in IEEE Access, 2020-10-20
Proposes an SEIHR compartmental model with migration for COVID-19 and applies it to epidemiological data from Hong Kong and elsewhere.
Recommended citation:
R. Niu, E. W. M. Wong, Y.-C. Chan, M. A. Van Wyk, and G. Chen, “Modeling the COVID-19 pandemic using an SEIHR model with human migration,” IEEE Access, vol. 8, pp. 195503–195514, 2020. /files/niu2020_access.pdf
Evaluating Non-Hierarchical Overflow Loss Systems Using Teletraffic Theory and Neural Networks
Published in IEEE Communications Letters, 2021-01-18
Proposes hybrid learning combining the Information Exchange Surrogate Approximation and neural networks for blocking probability evaluation in non-hierarchical overflow loss systems.
Recommended citation:
Y.-C. Chan, E. W. M. Wong, and C. S. Leung, “Evaluating non-hierarchical overflow loss systems using teletraffic theory and neural networks,” IEEE Communications Letters, vol. 25, pp. 1486–1490, May 2021. /files/chan2021_comml.pdf
A stochastic SEIHR model for COVID-19 data fluctuations
Published in Nonlinear Dynamics, 2021-07-06
Proposes a stochastic SEIHR model for COVID-19, derives the basic reproduction number of the model, and provides a set of sufficient conditions for stochastic stability of the disease-free equilibrium.
Recommended citation:
R. Niu, Y.-C. Chan, E. W. M. Wong, M. A. van Wyk, and G. Chen, “A stochastic SEIHR model for COVID-19 data fluctuations,” Nonlinear Dynamics, vol. 106, pp. 1311–1323, July 2021. /files/niu2021_nody.pdf
Modeling the Impact of Vaccination on COVID-19 and Its Delta and Omicron Variants
Published in Viruses, 2022-07-06
Proposes a compartmental model with vaccination (SVEIHR) for COVID-19 and explores thresholds for herd immunity. Notably, herd immunity via vaccination alone was shown to be impossible for the Omicron variant of the virus, even with a fully vaccinated population.
Recommended citation:
J. Wang, Y.-C. Chan, R. Niu, E. W. M. Wong, and M. A. van Wyk, “Modeling the impact of vaccination on COVID-19 and its Delta and Omicron variants,” Viruses, vol. 14, p. 1482, July 2022. /files/wang2022_viruses.pdf
A Century-Long Challenge in Teletraffic Theory: Blocking Probability Evaluation for Overflow Loss Systems With Mutual Overflow
Published in IEEE Access, 2023-06-07
Summarises the development of the Information Exchange Surrogate Approximation framework and contextualises it within the larger, century-long effort towards accurate and computationally efficient evaluation of blocking probability in overflow loss networks, a type of stochastic system, with mutual overflow between server groups.
Recommended citation:
E. W. M. Wong and Y.-C. Chan, “A century-long challenge in teletraffic theory: Blocking probability evaluation for overflow loss systems with mutual overflow,” IEEE Access, vol. 11, pp. 61274–61288, 2023. /files/wong2023_access.pdf
Healthcare process and variable mapping for identifying digitalisation opportunities and building a hospital digital twin
Published in 2023 European Conference on Computing in Construction, 2023-07-10
Identifies key variables informing opportunities for hospital digitalisation, provides a baseline for DT ideation, provides insights on where digital transformation can inform operational decision-making, and lists challenges towards Hospital DT development.
Recommended citation:
A. Mukherjee, N. Moretti, Y.-C. Chan, G. Yilmaz, M. Sasidharan, J. Merino, Z. Rosun, C. Carr, D. McFarlane, and A. K. Parlikad, “Healthcare process and variable mapping for identifying digitalisation opportunities and building a hospital digital twin,” in 2023 European Conference on Computing in Construction (EC3) and the 40th International CIB W78 Conference, EC3 2023, (Heraklion, Greece), European Council for Computing in Construction, July 2023. /files/mukherjee2023_ec3.pdf
Low-cost digitalisation opportunities in healthcare: a histopathology department case study
Published in Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), 2023-09-25
Proposes a set of methods to identify digital technology opportunities and prioritise their adoption in an histopathology department, using one in an East of England regional hospital as a case study.
Recommended citation:
N. Moretti, A. Mukherjee, Y.-C. Chan, G. Yilmaz, J. Merino, M. Sasidharan, Z. Rosun, C. Carr, D. McFarlane, and A. K. Parlikad, “Low-cost digitalisation opportunities in healthcare: a histopathology department case study,” in Low-Cost Digital Solutions for Industrial Automation (LoDiSA 2023), (Cambridge, UK), pp. 62–68, Sept. 2023. /files/moretti2023_lodisa.pdf
A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements
Published in 2023 Winter Simulation Conference (WSC), 2023-12-13
Describes a simulation model and web dashboard for estimating hospital bed demand based on generated scenarios.
Recommended citation:
Y.-C. Chan, K. Dreesbeimdiek, A. K. Parlikad, N. Matheson, B. Warne, and D. Franks, “A simulation model and dashboard for predicting Covid-19 bed requirements,” in 2023 Winter Simulation Conference (WSC), (San Antonio), pp. 1232–1243, INFORMS, Dec. 2023. /files/chan2023_wsc.pdf
Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks
Published in Applied Soft Computing, 2023-12-29
Proposes hybrid learning combining the Information Exchange Surrogate Approximation and neural networks for blocking probability evaluation in cellular mobile networks.
Recommended citation:
Y.-C. Chan, J. Wu, E.W.M. Wong, and C.S. Leung, “Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks”, Applied Soft Computing, Dec. 2023 /files/chan2023_asoc.pdf
talks
Performance analysis for overflow loss systems of processor-sharing queues
Published:
Applies the Information Exchange Surrogate Approximation to the blocking probability evaluation of overflow loss networks of processor-sharing queues.
A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements
Published:
Describes the application of discrete event simulation for COVID-19 bed demand prediction at a regional hospital in the East of England, and the development of a dashboard for this purpose.