Team

Simon Dennis (Chief Executive Officer)

Professor Simon Dennis is the Director of the Complex Human Data Hub in the School of Psychology at the University of Melbourne and an expert in human memory. He holds a BSc (honours) in mathematics and computer science, a BA in psychology and a PhD in computer science from the University of Queensland.

Links

Simon's University of Melbourne profile

Publications

Dennis, S., Yim, H., Garrett, P., Sreekumar, V. & Stone, B. (2019). A system for collecting and analyzing experience-sampling data. Behavior Research Methods, 51(4), pp. 1824-1838. doi:10.3758/s13428-019-01260-y

Dennis, S., Garrett, P., Yim, H., Hamm, J., Osth, A. F., Sreekumar, V. & Stone, B. (2019). Privacy versus open science. Behavior Research Methods, 51(4), pp. 1839-1848. doi:10.3758/s13428-019-01259-5

Nielson, D. M., Smith, T. A., Sreekumar, V., Dennis, S., & Sederberg, P. B. (2015). Human hippocampus represents space and time during retrieval of real-world memories. Proceedings of the National Academy of Sciences,112(35), 11078-11083.

Osth, A. F., & Dennis, S, (2015). Sources of interference in item and associative recognition memory, Psychological Review, 122 260-311.

Sreekumar, V., Dennis, S., Doxas, I., Zhuang, Y., & Belkin, M. (2014). The Geometry and Dynamics of Lifelogs: Discovering the Organizational Principles of Human Experience. PLoS One, 9(5).

Turner, B. M., Dennis, S., & Van Zandt, T. (2013). Likelihood-free Bayesian analysis of memory models. Psychological Review, 120(3), 667.

Doxas, I., Dennis, S., & Oliver, W. L. (2010). The dimensionality of discourse. Proceedings of the National Academy of Sciences, 107(11), 4866-4871.

Dennis, S. (2004). An unsupervised method for the extraction of propositional information from text. Proceedings of the National Academy of Sciences, 101(suppl 1), 5206-5213.

Dennis, S., & Humphreys, M. S. (2001). A context noise model of episodic word recognition. Psychological Review, 108(2), 452.

Humphreys, M. S., Wiles, J., & Dennis, S. (1994). Toward a theory of human memory: Data structures and access processes. Behavioral and Brain Sciences, 17(04), 655-667.

Mikhail Belkin (Chief Scientific Officer)

Associate Professor Mikhail Belkin is a faculty member in the Department of Computer Science and Engineering at Ohio State University. His research focuses on designing and analyzing practical algorithms for machine learning based on non-linear structure of high dimensional data, in particular manifold and spectral methods.

Ben Stone (Chief Technology Officer)

Dr Ben Stone is a Software Engineer in the Complex Human Data Hub at the University of Melbourne. Previously he worked as a R&D Web Search Engineer with YourAmigo. His Ph.D. was in the area of HCI, and focused on the modeling of human navigation behavior through web-based environments using computational models of lexical semantics. While working at Ohio State University, Ben developed software applications for Defence Research and Development Canada (DRDC) and the United States' Air Force Office of Scientific Research (AFOSR).

Links

Ben's Linkedin profile

Publications

Dennis, S., Yim, H., Garrett, P., Sreekumar, V. & Stone, B. (2019). A system for collecting and analyzing experience-sampling data. Behavior Research Methods, 51(4), pp. 1824-1838. doi:10.3758/s13428-019-01260-y

Dennis, S., Garrett, P., Yim, H., Hamm, J., Osth, A. F., Sreekumar, V. & Stone, B. (2019). Privacy versus open science. Behavior Research Methods, 51(4), pp. 1839-1848. doi:10.3758/s13428-019-01259-5

J. Hamm, B. Stone, M. Belkin & S. Dennis, Automatic Annotation of Daily Activity from Smartphone-based Multisensory Streams, Fourth International Conference on Mobile Computing, Applications and Services (MOBICASE), 2012

Stone B., Dennis S. & Kwantes, P. J. (2011). Comparing Methods for Single Paragraph Similarity Analysis. Topics in Cognitive Science, 3 (1), 92-122.

Stone, B. & Dennis, S. (2011). Semantic models and corpora choice when using semantic fields to predict eye movement on web pages. International Journal of Human-Computer Studies. 69 (11), 720-740.

Stone, B. & Dennis, S. (2009). Comparative Analysis of Semantic Models and Corpora Choice when using Semantic Fields to Predict Eye Movement on Webpages. In N. Taatgen, H. van Rijn, L. Schomaker & J. Nerbonne (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1924-1929). Austin, TX: Cognitive Science Society.

Jihun Hamm (Chief Privacy Officer)

Dr Jihun Hamm is a Research Scientist in the Department of Computer Science and Engineering at Ohio State University. He is interested in all aspects of Machine Learning. In particular, efficient and privacy preserving Machine Learning for the Internet of Things.

Links

Jihun's OSU homepage

Publications

Hamm, J (2015). Preserving Privacy of Continuous High-dimensional Data with Minimax Filters. International Conference on Artificial Intelligence and Statistics (AISTATS)

Hamm, J., Champion, A., Chen, G., Belkin, B., & Xuan, D. (2015) Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices. IEEE International Conference on Distributed Computing Systems (ICDCS)

Hamm, J., Stone, B., Belkin, B., & Dennis, S. (2012) Automatic Annotation of Daily Activity from Smartphone-based Multisensory Streams. Fourth International Conference on Mobile Computing, Applications and Services (MOBICASE)