Updated courses and short cv for teaching award

pull/1/head
Oliver Kennedy 2020-11-30 18:32:53 -05:00
parent 8f17ac2f6e
commit 5743c835c5
Signed by: okennedy
GPG Key ID: 3E5F9B3ABD3FDB60
4 changed files with 34 additions and 12 deletions

3
.gitignore vendored
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@ -3,4 +3,5 @@ build
*.aux
*.log
artifacts
*.tex
*.tex
/okennedy_short.pdf

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@ -205,26 +205,27 @@ file "okennedy_short.tex" => (["db/cv/okennedy.json", "lib/cv.rb", "Rakefile"]+D
title: "Recent Activities",
since: {
education: 2008,
reviewer: 2017,
general_service: 2017,
volunteering: 2012,
talks: 2017,
courses: 2014,
publications: 2017,
general_service: 2015,
volunteering: 2015,
courses: 2015,
},
skip: [
:invited_talks,
# :honors,
:reviewer,
:publications,
:contact,
:employment,
:memberships,
# :dept_service,
:tech_reports,
:general_service,
# :general_service,
:reviewer,
# :publications,
:artifacts,
:grants
],
abbreviate: [
:grants
]
)
end

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@ -122,7 +122,7 @@
"individual" : "YES"
},
{ "description" :
"The SIGMOD 2017 paper titled \"Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning\", authored by Oliver's student Niccolo Meneghetti, was accepted for publication as a Best-Of-SIGMOD extended article in the ACM Transactions on Database Systems.",
"The SIGMOD 2017 paper titled \"Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning\", authored by Oliver's student Niccolo Meneghetti, was accepted as a Best-Of-SIGMOD extended article in the ACM Transactions on Database Systems.",
"year" : 2017,
"type" : "best-paper",
"source" : "SIGMOD",
@ -159,6 +159,14 @@
"source" : "pVLDB",
"individual" : "YES"
},
{
"description" :
"Oliver's outreach efforts were featured on Channel 4 news Buffalo\\footnote{\\tiny\\url{https://www.wivb.com/news/local-news/students-in-buffalo-learning-how-to-build-advanced-technology-this-summer/1323587691/}}.",
"year" : 2018,
"type" : "feature",
"source" : "Channel4",
"individual" : "NO"
},
{
"description" :
"The SIGMOD 2019 paper titled \"Uncertainty Annotated Databases - A Lightweight Approach for Approximating Certain Answers\" received the 2020 SIGMOD Reproducability Award",
@ -169,7 +177,7 @@
},
{
"description" :
"Oliver was recognized as a Distinguished PC member for SIGMDO 2020",
"Oliver was recognized as a Distinguished PC member for SIGMOD 2020",
"year" : 2020,
"type" : "award",
"source" : "SIGMOD",

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@ -1,8 +1,20 @@
[
{ "venue" : "Department of Computer Science and Engineering, SUNY Buffalo",
"courses" : [
{ "code" : "CSE 715",
"enrollment" : 0,
"title" : "(planned) Data for ... Equitable Machine Learning",
"semester" : "Spring 2021" },
{ "code" : "CSE 4/562",
"enrollment" : 0,
"title" : "(planned) Database Systems",
"semester" : "Spring 2021" },
{ "code" : "CSE 611",
"enrollment" : 28,
"title" : "MS Project Development",
"semester" : "Fall 2020" },
{ "code" : "CSE 662",
"title" : "(planned) Languages and Runtimes for Big Data",
"title" : "Languages and Runtimes for Big Data",
"semester" : "Fall 2019" },
{ "code" : "CSE 4/562",
"enrollment" : 59,