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Three Minute Thesis (3MT™) at Georgia Tech

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Conversation Between: Interactive Narrative for Molecular Scientists and Reproductive Justice Groups

2017-11-13 , Song, HoRyun

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Artificial Photosynthesis: From Sunlight to Fuel

2017-11-13 , Nhon, Linda

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Computational Prediction of Energy Materials

2017-11-13 , Han, Rebecca

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Grip, Grab, and Groom: Adhesion of Soft Biomaterials

2017-11-13 , Noel, Alexis

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Enhanced Diagnostic Cardiac Imaging with Lower Risks

2017-11-13 , Yao, Jingting

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Natural Gas Purification Using Metal-Organic Frameworks (MOFs)

2017-11-13 , Joshi, Jayraj

Of all fossil energy sources, natural gas has exhibited the strongest worldwide growth. Global demand for the fuel has increased at a rate of 3% per year over the past thirty years, and is predicted to account for nearly 23% of the global energy supply by 2030. Consequently, the efficient and cost-effective purification of hydrocarbons in natural gas reserves is becoming increasingly important for the petroleum industry. About 40% of extraction fields possess appreciable levels of hydrogen sulfide (H2S): a toxic and corrosive acid gas that must be removed to preserve the environmental and economic viability of the fuel. Mixtures of H2S with well-head hydrocarbons are known as “sour gas”, and they must be remediated prior to downstream processing. Unfortunately, current purification schemes entail either gas flaring into the atmosphere or heavily energy intensive separation schemes. These activities subsequently carry both economical and environmental concerns. Engineering selective adsorption media to facilitate the removal of H2S from sour gas can be a promising alternative natural gas refinement operation. The selective adsorption of H2S over carbon dioxide, methane, and other common sour gas constitutients is pursued in this thesis work through the modular chemistry offered by a class of nanoporous materials known as metal-organic frameworks (MOFs). MOF synthesis allows for users to carefully construct these highly porous and stable frameworks to contain a myriad of chemical functional groups and reaction sites, such that specific separations can be targeted through careful selection of the two (1) organic and (2) metallic MOF precursors utilized. This “designer chemistry” at the nanoscale will be utilized to construct and test a variety of tailor-made MOFs for sour gas purification applications. Constructed adsorbents will be evaluated in a fixed-bed adsorption column, simulating sour gas mixtures that are representative of actual well-head compositions in the United States. By utilizing the atomic-level adsorbent control afforded through MOF construction, stable and highly effective H2S adsorbents are sought to be produced through this work, in an effort to help sustain ecological and cost-effective improvements in global energy.

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Resilience of Electrical Networks Against Hurricanes

2017-11-13 , Bhat, Rajatha

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Boosting the Role of Nuclear Technology

2017-11-13 , Mehta, Vedant

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Three Minute Thesis Finals 2017 - Presentation of Awards

2017-11-13 , Garbers, Jeff

The 2017 Winners include: (Ph.D. Winners) FIRST PLACE: Jingting Yao, Electrical and Computer Engineering, "Enhanced Diagnostic Cardiac Imaging with Lower Risks" RUNNER-UP: Shushruta Surappa, Mechanical Engineering, "Ultrasound Based Wireless Power" THIRD PLACE: , Kelly Michie, Biology, "Gotta Screen ‘Em All: Discovering Bacterial Genes Required for Wound Infection", THIRD PLACE: Alexis Noel, Mechanical Engineering, "Grip, Grab, and Groom: Adhesion of Soft Biomaterials". (Master's Winners) FIRST PLACE: Vedant Metha, Nuclear Engineering, "Boosting the Role of Nuclear Technology", RUNNER-UP: Richard Li, Interactive Computing, "EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments", PEOPLE'S CHOICE: Jayraj Joshi, Chemical and Biomolecular Engineering, "Natural Gas Purification Using Metal-Organic Frameworks (MOFs)".

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EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments

2017-11-13 , Li, Richard

Food journalling is the primary recommendation of physicians for many health concerns, including weight loss and a variety of diseases. The state-of-the-art approach for food journalling is by asking patients to record and self-report their own dietary activities for the day. However, it has been shown that the adherence and accuracy of such data is very low, resulting in little benefit for the patient. As a result, determining when someone is eating has been a point of interest to the ubiquitous computing community for several years. While many wearable approaches have been proposed and assessed in lab settings thus far, no practical solutions have been evaluated in the real world yet. In our work, we present a hearing aid form factor device that tracks the motion of the jaw from the ear. Further, we highlight three main contributions that contribute to its effectiveness and practicality: 1) Assess how well three sensing modalities performed and how their corresponding form factors are perceived. 2) Implement a novel approach to collect data for training a generalizable machine learning model by using a semi-controlled home environment. 3) Evaluate the system in unconstrained environments, obtaining state-of-the-art results validated with video footage from a wearable camera.

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