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Academic Calendar

Event Scheduled for Mar 28, 2013

Event: CSE Colloquium - Yong Jun Shin "Digital Technology for Bio - Intelligence"

Location: ITE 336

Time: 01:00 pm

Details of Event:
Abstract

Although biological or living systems show unique features, they are fundamentally governed by the same physical laws that rule non-living systems. For example, molecular dynamics (statistical mechanics) and density functional theory (quantum mechanics) can be used to model not only carbon nanotubes but also DNA or protein molecules. However, what is often neglected is that some engineering tools, especially digital signal processing (DSP) techniques, can complement conventional physics-based approaches when modeling unique biological features, such as adaptation or robustness, that exhibit intelligence. In this talk, I suggest that various DSP techniques, including adaptive filtering (e.g., the Kalman filter) and digital feedback control, can be used to model intelligent features of biological systems. Considering biological complexity, computational models should always be validated using relevant experiments. Digital modeling approaches also benefit our integrative modeling/experimental efforts as they can nicely integrate with experimental data, which are mostly digital these days. Digital microfluidics (DMF) is a relatively new technology that involves manipulating discrete and independently controllable micro/nano liter droplets and its suitability as a true lab-on-a-chip platform has been recently proposed. In this talk, I present DMF as an integrative platform for studying intelligent features of biological systems digitally modeled.

Target Audience: Open to All

Sponsored By: Computer Science and Engineering

Pamphlet/Flyer: No Pamphlet/Flyer Available


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