Honggeun Jo
@HonggeunJ
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Joined December 2017
FREE WEBINAR: May 7; 12-1 pm CT on #Nanotechnology for Upstream #Oil and #Gas Operations. Join in LIVE to hear from Dr. Hugh Daigle about this exciting research (@UT_PGE / @CockrellEvents ) https://t.co/JIjqtzBipA
#energy #oilandgas #webinar
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A few of my graduate students, @HonggeunJ, Wendi, @jackxiao6 & @aerisjd, joined for a morning #kayaking trip. Solo kayaks for socially distanced exercise in the fresh air. Great #paddle!
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Are you an #undergraduate student interested in #research experience? Check out the summer undergraduate research internship (SURI) program in @UT_PGE. I will be supervising a few students in #DataAnalytics & #MachineLearning. Find out more @ https://t.co/zDzh88y4ym.
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I'm conducting a free #MachineLearning 1-hour #webinar on advanced clustering [with #Python]. Very powerful #inferential #DataAnalytics methods! Hope to see you there on Thursday, Jan 14 @ 1 pm CT. Sign up @ https://t.co/rrQ9ucqDmo. Part of the @daytum_io webinar series.
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Here's my top #Tweets of 2020. #socialmedia to support my students & anyone off-campus, promoting accessible #geoscience & #Engineering #DataAnalytics & #MachineLearning education by sharing my content, and a voice of #positivity. That's what I did on @Twitter in 2020.
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What can Point‐Bar Sedimentary Architecture Numerical Deduction – ‘PB‐SAND’) do? Discover in: Controls on fluvial meander‐belt thickness and sand distribution: Insights from forward stratigraphic modelling Find at: https://t.co/DrWM6ywHCu
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Anyone interested in ML applications in geoscience or geospatial data analysis, please check this out 🤗🤗
The SEPM Rocky Mountain Section is hosting a webinar on Classifying Basin-Scale Stratigraphic Geometries from Subsurface formation tops with Machine Learning. Join Tuesday, December 15 at 12 p.m. MST. https://t.co/hH6F4s3PVV
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v0.4.0 of `seaborn-image` is out! Github - https://t.co/0C8Sy9pB3N Lots of new features for efficient, descriptive and attractive image visualization built on top of @matplotlib 👇
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📢 TensorFlow 2.4.0-rc1 is here! Please see the full release notes for details on added features, breaking changes, and bug fixes. Details ↓
github.com
Release 2.4.0 Major Features and Improvements tf.distribute introduces experimental support for asynchronous training of Keras models via the tf.distribute.experimental.ParameterServerStrategy AP...
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Our paper on #subsurface #model conditioning with #DeepLearning is now online! #openaccess feels good. Anyone in the world can see this #science for free! My graduate students are doing great work on transformative technologies for all #spatial #modeling. https://t.co/WMl0mdWgN7
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Three of my Ph.D. students, @HonggeunJ, Javier Santos, Wen Pan joined Tianqi Deng & entered a #petrophysics #MachineLearning competition with @spwlaorg (sponsor @SparkCognition) as team UTFE, & scored the top testing accuracy! Great work team! See it here: https://t.co/wwIcfcJabv
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Yesterday I was in Houston with @aerisjd & @HonggeunJ at @Kinder_Morgan to kick off a @ENERGY project. Great meetings with great professionals and even Texas Barbecue on the way back in Chappell Hill, TX.
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Congrats to @HonggeunJ on passing his PhD proposal defense in @UT_PGE! The first PhD student that I recruited when I joined UT. Great work, Honggeun! Amazing work on novel #MachineLearning methods and workflows for #subsurface #modeling and #forecasting. Outstanding! #PhD
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First lecture on statistics in my #DataAnalytics undergraduate class for #engineers & #geoscientists. Kicking it off with @hadleywickham's 'Teaching Safe-Stats, Not Statistical Abstinence'. https://t.co/zSakWfGDYN Great challenge to us educators to rethink our approach!
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What's new in #DataAnalytics at @UTAustin? The #FreshmenResearchInitiative & #InventorsProgram is starting this Fall, 2019. I'm the PI working with @TexasScience & we just hired an amazing #geoscientist / #DataScientist assistant professor. Can't wait to say who! Really I can't!
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Great morning at @AAPG / @SEPMGEO for the Texas Center for #DataAnalytics & #geostatistics. Wendi Liu covered spatial context and Honggeun Jo covered conditional rules-based models with DCGANS, all for #subsurface #machine learning with #geoscience & #engineering information.
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Finished the teaching the 1 day class on characterizing and #modeling #subsurface #heterogeneity (instructors: @ClasticsLab, @GeostatsGuy & @RPSech) at the @AAPG / @SEPMGEO #ACE2019. Excellent participants! Great discussions. Thank you SEPM, @zzsylvester, for organizing!
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Final preparations for the 1 day short course on May 18th at the @AAPG / @SEPMGEO meeting in San Antonio, TX on 'Representing #Geologic #Heterogeneity' in #subsurface modeling with instructors @ClasticsLab, @GeostatsGuy & @RPSech. I'm stoked to team up. https://t.co/SvCmAyKV5g
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In collaboration with Google, we're releasing Activation Atlases: a new technique for visualizing what interactions between neurons can represent. 💻Blog: https://t.co/nLfd0vpED4 📝Paper: https://t.co/qh2gozddHE 🔤Code: https://t.co/VwLN5j3uZo 🗺️Demo: https://t.co/9d1PmPqt6H
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