Applied Research Lab:: Projects

I am currently accepting new undergraduate / graduate research assistant. If you are interested in doing research with me, please contact me for more information!

[I] Active Projects

1) Human Activity Recognition

In this project, we aim to develop computational tools that assist artists in creating human movements with aesthetic value and meaning. By generating these movements, we can gain insights into the mechanics of human figure movement and uncover the significance behind them. The project encompasses various facets, including:

  • idanceForms2 – A creative choreography sketchbook on the iPad. Download idanceForms here.
  • Computational Conductor – A machine learning initiative focused on understanding and recognizing conducting gestures.

Publications (selected)

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2) RNA Prediction and Design

The RNA design algorithm takes a description of an RNA secondary structure as input and seeks to identify an RNA strand that will fold into this function-specific target structure. With recent advances in biotechnology and synthetic biology, a reliable RNA design algorithm is essential for creating new biochemical components. Our lab is focused on employing various computational intelligence techniques to establish a new paradigm for addressing the RNA design challenge. Recently, we developed an algorithm called SIMARD, which is based on the simulated annealing approach.

Publications (selected)

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3) Computational Crime Analysis

With the advance of big data and machine learning techniques, law enforcement agencies are keen to use computational techniques to help them to prevent criminal activities or even to solve crime. Our lab's work in this area has two main paradigms

  • Using a virtual environment to help with emergency preparedness
  • Employing computational techniques and crime data, to help law enforcement agencies visualize and resource management

Publications (selected)

  • A.J. Park, R.N. Quadari, and H.H. Tsang. “Phishing Website Detection Framework Through Web Scraping and Data Mining”, the 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, Vancouver, Canada, Oct 3-5, 2017. Received the best paper award
  • A.J. Park, B. Beck, D. Fletche, P. Lam, and H.H. Tsang. "Temporal Analysis of Radical Dark Web Forum Users", in Proceedings of the International Symposium on Foundations of Open Source Intelligence and Security Informatics, San Francisco, CA, USA, August 18-21, 2016, pp. 880-883.
  • B. Chersinoff, H.H. Tsang, and V. Spicer. "iPatrol+: Patterns of Public Disorder from a Community Volunteer Perspective," in Proceedings of the 43rd Annual Conference of the Western Society of Criminology, Vancouver, BC, Canada, February 4 -6, 2016, pp. 6.
  • A.J. Park and H.H. Tsang, “A Systematic Approach to Develop a Computational Framework for Counter-terrorism and Public Safety” Martin Bouchard, editor, Social Networks, Terrorism and Counter-terrorism: Radical and Connected, Routledge, 2015, 196-217.
  • A.J. Park, H.H. Tsang, M.Sun, and U. Glässer, “An Agent-Based Model and Computational Framework for Counter-Terrorism and Public Safety Based on Swarm Intelligence.” Journal of Security Informatics, 2012, 1:23.

4) Mobile Applications Development

In my classroom and lab, I have overseas the development of over 150 mobile applications. See here for some examples.

[II] Past Projects

Computational approach to predict species-specific type III secretion system (T3SS) effectors

We are using machine learning techniques to seek out the Type III secretion system (T3SS) effectors which are harmful to human.

Publications


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www.HerbertTsang.org | www.applied-research.org

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