In recent years, I have been focusing on the application of statistic methodologies to a wide variety of applications. I prefer to solve complex problems with simple models that can be easily explained and understood by all readers despite their background. The statistical challenge is obvious, but the main struggle lies in introducing change to what have been deemed the common approach in the literature.

The past…

It was during my PhD years when I was introduced to an exciting area of statistics known as computer experiments or uncertainty quantification. My PhD works involve the development of new models to calibrate unknown parameters through a combination of simulated data of different fidelities, and a small amount of observed data. This type of problem is relevant in many areas of research, and I hope to be able to apply the methodologies in real applications.

I also did some fun stuff with fractional factorial split-plot design – an area of research that holds a special place in me and I hope to return to it in the next year.

Published work

  • Ceha, J., Lee, K.J., Nilsen, E., Goh, J. and Law, E. (2021) “Can humorous conversational agent enhance learning experience and outcomes?” , CHI 2021. Best Paper Honorable Mention
  • Saberi, N. , Kelly, R. , Pan, J. , Durand, M. , Goh, J. , and Scott, K. A. (2021), “The use of a Monte Carlo Markov Chain method for snow water equivalent retrievals: A case study based on airborne microwave observations and emission modeling experiments of tundra snow”, IEEE Transactions on Geoscience and Remote Sensing, 59, 1876-1889.
  • D’Eon, G., Goh, J., Larson, K. and Law, E. (2019), “Paying Crowd Workers for Collaborative Work”, CSCW 2019.
  • Tomasson-Goodwin, J., Lithgow, K., Goh, J. and Verkoeyen, S. (2019), “Can students be taught to articulate employability skills?”, Education + Training, 61, 445-460.
  • Ceha, J., Chhibber, N., Goh, J., MacDonald, C., Oudeyer, P., Kulic, D., and Law, E. (2019), “Expression of Curiosity in Social Robots: Design, Perception and Effects on Behaviour”, CHI 2019.
  • Schaekermann, M., Goh, J., Larson, K. and Law, E. (2018), “Resolvable vs Irresolvable Disagreement: A Study on Worker Deliberation in Crowdwork”, CSCW 2018. Best Paper Award
  • Callaghan, W., Goh, J., Mohareb, M., Lim, A. and Law, E. (2018), “Mechanical Heart: A Human-Machine Framework for the Classification of Phonocardiograms”, CSCW 2018.
  • Chhibber, N., Syed, R., Teng,M., Goh, J., Collins-Thompson, K. and Law, E.. “Human Perception of Surprise: A User Study”, SIGIR Computational Surprise Workshop, 2018.
  • Law, E., Cai, V., Liu, E., Sajin, S., Goh, J., Blidaru, A. and Kulic, D. (2017), “A Wizard-of-Oz Study of Curiosity in Human-Robot Interaction”, RO-MAN 2017.
  • Williams, A., Goh, J., Willis, C., Ellison, A., Brusuelas, J., Davis, C. and Law, E. (2017), “Deja Vu: Characterizing Worker Reliability Using Task Consistency”, HCOMP 2017.
  • Rojas-Fernandez, C., Goh, J., Hart, J., Auber, R., Zarrin, A., Warkentin, M. and Hudaini, Z. (2017), “Assessment of Oral Anticoagulant Use in Residents of Long-term Care Homes: Evidence for Contemporary Suboptimal Use”, Annals of Pharmacotherapy.
  • Law, E., Yin, Ming, Goh, J., Chen, K., Terry, M. and Krzysztof, G. (2016), “Curiosity Killed the Cat, but Makes Crowdwork Better”, CHI 2016. Best Paper Honorable Mention
  • Goh, J., Bingham, D., Holloway, J.P., Grosskopf, M.J., Kuranz, C.C. and Rutter, E. (2013), “Computer Model Calibration and Prediction Using Outputs From Multi Fidelity Simulators”, Technometrics, 55, 501-512.
  • Kuranz, C.C., Drake, R.P., Krauland, C.M., Marion, D.C., Grosskopf, M.J., Rutter, E., Torralva, D., Holloway, J.P., D. Bingham, Goh, J., Boehly, T.R. and Sorce, A. (2013), “Initial Conditions of Radiative Shock Experiments”, Physics Plasma, 50.

Work in progress

  • Goh, J. and Bingham, D., “Design and Analysis of Fractional Factorial Split-plot Designs: A Bayesian Approach”.