Amelia G. Jones
· ProfessorVerifiedUniversity of Southern California · American Studies and Ethnicity
Active 1958–2024
About
Amelia Jones is the Robert A. Day Professor at the USC Roski School of Art and Design in Los Angeles. She has taught and lectured internationally at institutions such as the University of Manchester, the Sorbonne in Paris, the University of Auckland in Aotearoa New Zealand, and McGill University in Montréal, Canada. She has researched, curated, and written about modern and contemporary art and performance from a queer feminist theoretical framework since the early 1990s and is an expert on art history, visual theory, performance studies, performance art, and queer/trans/feminist theory and art. Her recent publications include the catalogue Queer Communion: Ron Athey (2020), co-edited with Andy Campbell, and In Between Subjects: A Critical Genealogy of Queer Performance (2021). She is currently writing a book entitled Lifework (Against Cultural Capitalism), which addresses the structural racism and neoliberalism of the twenty-first century art world and university and creative responses to these pressures, as well as organizing a survey exhibition and catalogue of the work of Ken Gonzales-Day, entitled Ken Gonzales-Day: History’s “Nevermade” (2025-26 at the Fisher Museum, Los Angeles).
Research topics
- Computer Science
- Mechanical engineering
- Engineering
- Mathematics
- Physics
- Computer graphics (images)
- Materials science
- Structural engineering
- Geometry
- Petroleum engineering
- Optics
- Environmental science
Selected publications
Conversa AI: A Platform for AI Interviewing and Authentic Conversation
2024-07-05
articleOpen access1st authorCorrespondingFigure 1: (left) UI for generating questions.(center) Interview UI with suggested follow-up questions (right).Slide deck with embedded interactive video player.
An Investigation into How Generative AI Can Improve Auditors' Decisions
SSRN Electronic Journal · 2024-01-01 · 3 citations
preprintOpen access2023-07-19 · 3 citations
article1st authorCorrespondingTell Me, Inge… is a cross-platform VR/XR experience that allows the public to interact with Holocaust survivor Inge Auerbacher. Users are immersed in Inge’s memories as a child survivor of the Theresienstadt ghetto, asking questions in their own words and listening to her video responses combined with hand-drawn 3D animations within a 360-degree canvas. All reconstructions of Inge’s memories were based on her personal testimony, historical documentation, and location surveys. We created a novel pipeline for authoring 3D Quill animations in the PlayCanvas WebXR engine. The system is driven by StoryFile’s Conversa platform for AI training and conversational video streaming.
ChemRxiv · 2022-09-21
preprintOpen accessAtmospheric carbon poses an existential threat to civilization via global climate change. Hundreds of gigatonnes of carbon dioxide must be removed from Earth’s atmosphere in the next three decades, necessitating a low-cost, energy-efficient process to extract low concentrations of carbon dioxide for conversion to a stable material permanently stored for thousands of years. In this work, the challenge of removing gigatonnes of CO2 is described via the scale of effort and the thermodynamics of collecting and reducing this diffuse chemical, the accumulation of which imparts a substantial entropy penalty on any atmospheric carbon capture process. The methods of CO2 reduction combined with upstream direct air capture (DAC) including absorption, membrane separation, and adsorption are compared with biomass torrefaction and permanent burial (BTB). A Monte Carlo model assesses the mass, energy, and economics of the full process of biomass torrefaction from biomass collection and transport to stable carbon burial to determine that 95% of scenarios could remove carbon for less than $200 per CO2-tonne-equivalent. Torrefied carbon is further discussed for its long-term stability and availability at the scale required to substantially mitigate the threat of climate change.
SPE Annual Technical Conference and Exhibition · 2022 · 5 citations
- Computer Science
- Computer Science
- Petroleum engineering
Abstract The use of CO2 injection to produce oil from the residual oil zone (ROZ) of the Wasson field in the Permian Basin has proven to be highly successful when an appropriate development plan is used. The significant volume of oil in place in the ROZ presents a large target for both reserves addition and CO2 sequestration. More than 60% of the ROZ potential lies beneath the already developed San Andres main oil column (MOC) area, which is under CO2 flooding with varying states of maturity, making it challenging to develop such projects efficiently and economically. Over the past 20 years, different pattern configurations (nine-spot, line drive, five-spot) and completion strategies (commingled injector, injection subsurface flow control devices, dual completion injection, dedicated and hybrid line drive) have been used at the Wasson oil development company (ODC) field to develop the ROZ. The results of these various pattern configurations and completion techniques and their pros and cons are discussed in this paper. Commingled production makes it more difficult to quantify incremental ROZ production and increases uncertainty in the performance forecast of future ROZ projects. The dedicated injectors provide better injection control to MOC and ROZ and improve CO2 utilization, especially where the MOC is mature. In this paper, we present one of the key findings from a detailed analysis of field history that caused Oxy to switch from the original dedicated ROZ development to a hybrid line drive pattern configuration. This novel strategy will have higher CO2 retention and more sequestration potential, better areal sweep efficiency for improved oil recovery, and lower capital and operating cost. It also reduces the likelihood of injector interference, provides a stable injection throughput for a long time, and results in a sustained oil and CO2 production plateau, which leads to more efficient utilization of plant capacity. Using ODC as an example, the total capital, F&D costs, and the number of new injection wells will be reduced by 33%, 35%, and 45%, respectively, for changing all the undeveloped patterns from the dedicated to hybrid line drive option. This novel development strategy improves the chance of promoting contingent resources (not currently considered to be commercially recoverable owing to one or more contingencies) to a higher category and offers higher returns with much lower F&D cost and shorter development time.
Emergency Powers Briefing paper 1 [Test]
Zenodo (CERN European Organization for Nuclear Research) · 2022-05-09
reportOpen access1st authorCorrespondingEmergency briefing paper 1
Magnetorheological finishing of freeform optics using a spiral toolpath
2021 · 3 citations
Senior authorCorresponding- Computer Science
- Optics
- Computer Science
As freeform optics become more prevalent, it is important for manufacturers to have flexibility when fabricating such optics. Traditionally, QED's Magnetorheological Finishing (MRF™) machines have used a raster toolpath to polish optics that lack rotational symmetry in either their aperture shape or surface form. However, a spiral toolpath may be desirable for a variety of reasons: to achieve a tighter edge exclusion, to correct rotationally-symmetric features, or to polish high- NA optics that may exceed the half-angle limits of raster polishing. In this paper we present a new spiral toolpath polishing capability for surfaces that have circular apertures but have a surface form that lacks rotational symmetry. This enables rotationally polishing freeform optics, such as off-axis parabolas (OAPs) and toroids, in addition to tilted plano surfaces or wedged (non-centered) spheres. We will explain the capabilities of this new polishing mode and present initial polishing results.
The Shaking Trees: In the Forest, Catching Up with Mom by Phone
Appalachia · 2021-01-01
article1st authorCorresponding2021-06-01 · 1 citations
preprintOpen accessNovel view synthesis is a challenging and ill-posed inverse rendering problem. Neural rendering techniques have recently achieved photorealistic image quality for this task. State-of-the-art (SOTA) neural volume rendering approaches, however, are slow to train and require minutes of inference (i.e., rendering) time for high image resolutions. We adopt high-capacity neural scene representations with periodic activations for jointly optimizing an implicit surface and a radiance field of a scene supervised exclusively with posed 2D images. Our neural rendering pipeline accelerates SOTA neural volume rendering by about two orders of magnitude and our implicit surface representation is unique in allowing us to export a mesh with view-dependent texture information. Thus, like other implicit surface representations, ours is compatible with traditional graphics pipelines, enabling real-time rendering rates, while achieving unprecedented image quality compared to other surface methods. We assess the quality of our approach using existing datasets as well as high-quality 3D face data captured with a custom multi-camera rig.
A Ball Milling Enabled Cross-Electrophile Coupling
ChemRxiv · 2021-06-14
preprintOpen access1st authorCorresponding<div><div><div><p>The nickel-catalyzed cross-electrophile coupling of aryl (pseudo)halides and alkyl (pseudo)halides enabled by ball-milling is herein described. Under a mechanochemical manifold, the reductive C–C bond formation was achieved in the absence of bulk solvent and air/moisture sensitive set-ups, in reaction times of 2 hours. The mechanical action provided by ball milling permits the use of a range of zinc sources to turnover the catalytic cycle of nickel. A library of 28 cross- electrophile coupled building blocks has been constructed to exemplify this technique.</p></div></div></div>
Frequent coauthors
- 155 shared
Paul Debevec
Netflix (United States)
- 78 shared
Jay Busch
Google (United States)
- 70 shared
Mark Bolas
Microsoft Research (United Kingdom)
- 64 shared
Xueming Yu
- 44 shared
Graham Fyffe
Google (United States)
- 34 shared
Tim Hawkins
West Virginia University
- 31 shared
Koki Nagano
- 29 shared
Oleg Alexander
USC Institute for Creative Technologies
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