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Making Hands: Neural Implicit Manifold Learning of Hand Gestures
(Massachusetts Institute of Technology, 2023-06)
The human hand is a complex and sophisticated biological machine. Hand gesturing is key to our understanding of and interacting with the world around us. Hand gesturing is also instrumental in design and making. I argue ...
Hallucination machine : a body centric model of space perception
(Massachusetts Institute of Technology, 2014)
In this thesis I present a novel approach to space perception. I provide a body-centric computational model, The Hallucination Machine, that integrates bodily knowledge with senses in a common modality which I call "the ...
Simulation- and Experiment-Based Setpoint Control for Heating, Ventilation, and Air-Conditioning Systems: A Single- and Multi-Objective Optimization Problem
(Massachusetts Institute of Technology, 2022-02)
Buildings and building construction sectors are together responsible for 40% of global energy consumption, 70% of electricity consumption, and 40% of carbon emission. Heating, ventilation, and air-conditioning systems ...
The good, the bad, and the facts : multimodal representation of medical conversations for patient understanding
(Massachusetts Institute of Technology, 2019)
Medical patients face significant challenges for managing their health information. In particular, cancer patients have a uniquely difficult experience where they must endure the physical and emotional effects of their ...
Logic matter : digital logic as heuristics for physical self-guided-assembly
(Massachusetts Institute of Technology, 2010)
Given the increasing complexity of the physical structures surrounding our everyday environment -- buildings, machines, computers and almost every other physical object that humans interact with -- the processes of assembling ...
Interactive design process based on augmented intelligence : a framework and toolkit for designers to interact and collaborate with AI algorithms
(Massachusetts Institute of Technology, 2017)
Designers can use artificial intelligence, such as Genetic Algorithms, to deal with the design problems which seem impossible to be quickly resolved by the human mind. However, none of the current Al algorithms interact ...
Form from within : scaling up self-constructing biological architectures through a novel application of synthetic morphogenesis
(Massachusetts Institute of Technology, 2018)
In this thesis, I introduce a novel biofabrication method Architectures from Staged Self-assembly of Morphogenetic Building Elements (ASSEMBLE), that brings about self-constructing biological structures at the architectural ...
Illuminating preference : rethinking colored lighting in workplace environments
(Massachusetts Institute of Technology, 2020)
Comfort in workspace lighting is hard to define. In recent years "smart hardware" has enabled personalized control in lighting. Provided interfaces, however are often forcibly tying the ephemeral nature of light and personal ...
Machine learning inspired synthetic biology: neuromorphic computing in mammalian cells
(Massachusetts Institute of Technology, 2020)
Synthetic biologists seek to collect, refine, and repackage nature so that it's easier to design new and reliable biological systems, typically at the cellular or multicellular level. These redesigned systems are often ...
Observing the observers : a new experimental paradigm for the study of seeing and drawing
(Massachusetts Institute of Technology, 2018)
One way to study how people design is to understand how others observe them designing. I take a step towards this understanding by examining how people segment visual design events temporally, in other words, how they ...