Archive

DGIF 2016

The renaissance of electrochemistry

Abstract : Advances in electrochemistry at solid-liquid interfaces are vital for driving technological innovations that are needed to deliver reliable, affordable, and environmentally-friendly energy. In the first part of presentation, we highlight the key achievements in the development of new materials […]

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Disorder Engineering: Turning TiO2 Nanoparticles Black

Abstract : Of a range of materials that have been investigated in pursuit of greater utilization of solar energy, currently one of the most studied semiconductor photocatalysts is titanium dioxide, TiO2, which has an electronic band gap in the ultraviolet (UV) […]

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Transparent Force/Impedance Generation for Sports and Rehabilitation Training

Abstract : Recently force control has become a significant topic in robotics, as robots that interact with human while doing their task require safe and human friendly force control. In order to answer the requirement, high performance transparent force control has […]

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Exo-Glove Poly: Soft wearable robot for the hand

Abstract : When people suffer paralysis of the hand and fingers in the wake of injuries or diseases, such as spinal cord injury, stroke, and cerebral palsy, they often cannot perform even the simplest activities of daily life. A polymer-based tendon-driven […]

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Human-machine interaction and neurorehabilitation

Abstract : My research interest is in human-machine interaction. I enjoy investigating how humans interact with their environment and with each other. With my group, we develop new technical tools for this purpose, and take all opportunities to use our acquired […]

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Towards better quantification and better understanding of human movements

Abstract : Precise quantification of human motor performance is essential for effective rehabilitation and sports training. Among various aspects of motor performance, stability is one of the most important factors. Stability of rhythmic motor tasks including walking has been frequently assessed […]

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Neural Universal Discrete Denoiser

Abstract : In this talk, I will present a novel framework of applying deep neural network (DNN) to discrete denoising problem. DNN has recently shown remarkable performance improvements in diverse applications, and most of the success are based on the supervised […]

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Deep Image Restoration

Abstract : Image restoration or deconvolution that is to recover the original clean image from a noisy or corrupted image has long been an important and fundamental problem in image processing and computer vision. In this talk, a very effective deep […]

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Bayesian Deep Probabilistic Models

Abstract : Deep generative models are a rich class of models for density estimation which specify a generative process for observed data using a set of stochastic latent variables. Among those, of particular interest is the variational autoencoder (VAE) which is […]

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Quickly Analyzing Sensitivity of Incremental Data Update for Big Data Machine Learning in Changing Environment

Abstract : In this talk, we are concerned with large-scale machine learning problems in changing environment where a small part of the dataset which have been used for training a machine learning model is incrementally updated, and the effect of the […]

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