sonnen GmbH Florida State University

Berlin, Berlin, Deutschland
1115 Follower:innen 500+ Kontakte

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Experienced leader with 10+ years in Data Science, AI, and Machine Learning and a strong…

Aktivitäten

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Berufserfahrung und Ausbildung

Gesamte Berufserfahrung von Austin C. Todd anzeigen

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Bescheinigungen und Zertifikate

Ehrenamt

  • Instructor

    Saturday at the Sea

    – 5 Monaten

    Ausbildung

    Instructor in program led by the Florida State University Biology Department to teach middle school students about coastal marine ecosystems and coastal ecology of the northeastern Gulf of Mexico. I led children in a hands-on environment and directed operation of seine net, otter trawl, refractometer, secchi disk, boats, and boating equipment.

  • Mentor

    Young Scholars Program

    – 2 Monaten

    Ausbildung

    Mentor for three high school students selected as part of Florida State University’s Young Scholar Program. Directed students in exploratory data analysis and research at COAPS for 10 weeks, analyzing meteorological and oceanographic data from an observing station in the Gulf of Mexico. Assisted students with analyzing the observed oceanic response to significant atmospheric events and floods of local rivers toward assisting my dissertation research.

  • Guest Lecturer

    Antarctic Research Facility

    – 6 Monaten

    Ausbildung

    Provided two lectures on ”Life and science onboard an Antarctic oceanographic research vessel” to middle-school students as part of a tour of the Florida State University Antarctic Research Facility.

Veröffentlichungen

  • Artificial Intelligence for Data Center Operations

    NREL

    This project was an investigation of how AI and Machine Learning can be used in High Performance Computing Data Centers. The technical report describes progress and findings on the first two years of the collaboration between NREL and HPE. In particular, it: 1) Details of the overall streaming data and software architecture that have been developed to support the capture and accessibility of the complete set of facility and IT energy data from hundreds of sensors, meters, and controls; 2)…

    This project was an investigation of how AI and Machine Learning can be used in High Performance Computing Data Centers. The technical report describes progress and findings on the first two years of the collaboration between NREL and HPE. In particular, it: 1) Details of the overall streaming data and software architecture that have been developed to support the capture and accessibility of the complete set of facility and IT energy data from hundreds of sensors, meters, and controls; 2) Dashboards, visualization tools, and algorithms that have been developed to better monitor the state of the various components of the data center; and 3) Preliminary results from ongoing research into understanding the power footprint of certain application job types and their impact on the data center’s cooling resources.

    Andere Autor:innen
    Veröffentlichung anzeigen

  • Circulation and cross-shelf transport in the Florida Big Bend

    Journal of Marine Research

    Andere Autor:innen

  • Circulation dynamics and larval transport mechanisms in the Florida Big Bend

    Florida State University

    PhD Dissertation

  • Age and residence time of terrestrial source water in the Western North Atlantic and Gulf of Mexico

    -

    in preparation

    Andere Autor:innen
    • Ruoying He

  • Cross-shelf exchange associated with the Gulf Stream in the South Atlantic Bight: Direct observations using an autonomous underwater glider.

    Marine Technology Society Journal

    In review

    Andere Autor:innen
    • Ruoying He
    • Chad Lemke
    • Todd Kellison
    • Chris Taylor
    • David A. Mann

  • Quantifying the volume and release rates of oily, mixed, and gaseous bubble release from natural hydrocarbon seeps in the Gulf of Mexico

    Marine Petroleum Geology

    In review

    Andere Autor:innen
    • Caroline Johansen
    • Ian MacDonald

  • Variation in larval behavior alters potential larval dispersal and population connectivity of a deep-sea bivalve.

    Deep Sea Research Part I: Oceanographic Research Papers

    In review.

    Andere Autor:innen

Projekte

  • Data Driven Energy Grid

    Energy providers deal with outages in their network from a variety of different causes. As private renewable energy sources become more available to residential and commercial customers, the complexity of the network's topology increases every day. This Proof-of-Concept project is focused on demonstrating ways that data from a major energy provider can be used to predict outages in their network. My role in this project is the Lead Data Scientist for T-Systems International.

  • Automotive Intelligence Lab

    All new vehicles since the mid-1990s have been equipped with ports able to transmit diagnostics from the vehicle. While the data transmitted was at first limited to basics such as engine diagnostics, braking, windshield wiper status, expanding technology and the Internet of Things has brought a wealth of additional information from vehicles to be collected. My role in this project is to develop analysis methods for data from these sensors and to predict features that may lead to safer…

    All new vehicles since the mid-1990s have been equipped with ports able to transmit diagnostics from the vehicle. While the data transmitted was at first limited to basics such as engine diagnostics, braking, windshield wiper status, expanding technology and the Internet of Things has brought a wealth of additional information from vehicles to be collected. My role in this project is to develop analysis methods for data from these sensors and to predict features that may lead to safer roadways.

    Andere Mitarbeiter:innen

  • Deep Sea Exploration

    As a science observer onboard DSV Alvin, I was one of the team members who discovered a centuries-old shipwreck off the coast of North Carolina. Our observations using HD cameras and visual cues helped us identify several artifacts in the shipwreck, including glass bottles, ceramic jugs, and navigation devices.

    Projekt anzeigen

  • Dispersion and connectivity modeling

    –Heute

    Lead for physical particle dispersion modeling project to investigate the dispersion and connectivity of mussels (bathymodiolis childressi) and snails (bathynerita naticoidea) from deep sea hydrothermal vent sites in the Western North Atlantic, Gulf of Mexico, and Caribbean Sea.

    Andere Mitarbeiter:innen
    Projekt anzeigen

  • Water Age and Residence Time

    –Heute

    Project lead for design, implementation, and production of high-resolution ocean model simulations for the Western North Atlantic Ocean and Intra-American Seas. Model predictions were used to investigate the fate of river water in the coastal ocean and to estimate the residence time of water on the continental shelf.

    Projekt anzeigen

  • Data-Driven Simulations Mirror a City’s Traffic Patterns to Reduce Mobility-Related Energy Use

    –

    NREL participated in a project led by Oak Ridge National Lab to create a large-scale, real-time “digital twin” of traffic conditions in Chattanooga, Tennessee.

  • An independent analysis of bias sources and variability in wind plant pre‐construction energy yield estimation methods

    –

    In this collaborative part of the Wind Plant Performance Prediction (WP3) Benchmark initiative, NREL researchers collaborated with wind plant owner/operators, OEM manufacturers, and consultant groups to better understand where bias and variability exists in pre-construction energy yield estimate methodologies

    Andere Mitarbeiter:innen

  • Autonomous Underwater Glider Analysis

    –

    Deployment and recovery of autonomous glider in the South Atlantic Bight, analysis of hydrographic and biogeochemical properties of the shelf and slope waters.

    Projekt anzeigen

  • NREL and HPE Team Up to Apply AI for Efficient Data Center Operations

    -

    Collaborative research effort will apply artificial intelligence and machine learning approaches to improve HPC data center operational efficiency. I served as the project lead and AI expert on the NREL side

  • Predictability of Florida wildfire risk from the Keetch-Byram Drought Index

    -

    Creation of long-term historical records of rainfall, temperature, and Keetch-Byram Drought Index (KBDI) for NOAA COOP stations in the state of Florida. These records were used to create various statistical models (multiple linear regression, ANOVA, ANCOVA) for the prediction of wildland fires from KBDI on monthly and seasonal timescales.

    Statistical toolboxes used: SAS, MATLAB
    Programming languages: Perl, MATLAB, Fortran, IDL

    Andere Mitarbeiter:innen
    • Melissa GriffinD
    • David Zierden

Auszeichnungen/Preise

  • Graduate Research Fellowship

    NOAA AOML

  • Student Poster Contest Award

    NOAA Northern Gulf Institute

  • Guy Harvey Excellence Award

    Florida Sea Grant

  • Graduate Student Representative (Oceanography)

    -

    Student representative for Oceanography program at departmental faculty meetings. Liaison between graduate student affairs and faculty descision.

  • Vice President, Thalassic Society

    -

Sprachen

  • English

    Muttersprache oder zweisprachig

  • German

    Gute Kenntnisse

  • Turkish

    Grundkenntnisse

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