Merge branch 'master' of gitlab.odin.cse.buffalo.edu:odin-lab/Website
commit
247d4933d1
74
Rakefile
74
Rakefile
|
|
@ -193,32 +193,52 @@ task :collab => "artifacts/okennedy_collaborators.txt"
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task :conflicts => "artifacts/okennedy_collaborators.txt"
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file "artifacts/oracle_papers.txt" => [ $db.files, "artifacts", "Rakefile" ].flatten do
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File.open("artifacts/oracle_papers.txt", "w+") do |fh|
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fh.puts $db["publications"].
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where { |pub| pub.fetch("projects", []).include? "mimir" }.
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map { |pub|
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pub = LabMetadata::complete_venue(pub)
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case pub["type"]
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when "conference", "journal", "workshop", "abstract" then
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[ pub["title"],
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pub["authors"].join(", "),
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"#{LabMetadata::venue_name(pub, size: :full_parens)} #{pub["year"]}",
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pub["urls"].map { |k,v| "#{k.capitalize}: #{v}" },
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LabMetadata.bibtex_for(pub).split("\n")
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].flatten
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when "thesis" then
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[ pub["title"],
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pub["authors"].join(", "),
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"Thesis #{pub["degree"]} #{pub["year"]}",
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pub["urls"].map { |k,v| "#{k.capitalize}: #{v}" },
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LabMetadata.bibtex_for(pub).split("\n")
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].flatten
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else nil
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end
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}.
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compact.
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map { |record| "> #{record.join("\n ")}" }.
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join("\n\n")
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["mimir", "insider-threats", "astral"].each do |project|
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file "artifacts/#{project}_papers.txt" => [ $db.files, "artifacts", "Rakefile" ].flatten do
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File.open("artifacts/#{project}_papers.txt", "w+") do |fh|
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fh.puts $db["publications"].
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where { |pub| pub.fetch("projects", []).include? project }.
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map { |pub| LabMetadata::format_pub_for_report(pub) }.
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compact.
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join("\n\n")
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end
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end
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task :projectreport => "artifacts/#{project}_papers.txt"
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end
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task :report => :projectreport
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file "artifacts/grant_report.txt" do
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File.open("artifacts/grant_report.txt", "w+") do |fh|
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$db["publications"]
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.map { |pub|
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pub.fetch("grants_cited", [])
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.map { |grant|
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[ [
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grant["agency"],
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grant.fetch("agency_id", grant.fetch("project_name", "???"))
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], pub
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]
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}
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}.flatten(1)
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.reduce
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.each { |grant, pubs|
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fh.puts grant[0]+"/"+grant[1]
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fh.puts "-----------"
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pubs.each { |pub|
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pub = LabMetadata::format_pub_for_report(pub)
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fh.puts "\n"+pub unless pub.nil?
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}
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fh.puts "\n\n"
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}
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end
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end
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task :report => "artifacts/grant_report.txt"
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file "artifacts/nsf_merit_blurb.txt" => [ $db.files, "artifacts", "Rakefile" ].flatten do
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# File.open("artifacts/nsf_related_blurb.txt", "w+") do |fh|
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citable_pubs =
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$db["publications"]
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.where { |pub| pub.fetch("grants_cited", []).index { |grant| /NSF/ =~ grant.fetch("agency", "") } }
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citable_pubs.each { |pub| puts pub["title"] }
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# end
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end
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@ -102,22 +102,29 @@
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],
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"honors" : [
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{ "description" :
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"The pVLDB 2012 paper titled \"DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views\" was accepted to the \"Best of VLDB 2012\" issue of the VLDB Journal",
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"The pVLDB 2012 paper titled \"DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views\" was accepted to the \"Best of VLDB 2012\" issue of the VLDB Journal.",
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"year" : 2012,
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"type" : "best-paper",
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"source" : "VLDB",
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"individual" : "NO"
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},
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{ "description" :
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"Oliver received a UB CSE Outstanding Funding Award for attracting over $3m of funding to the University at Buffalo in 2016",
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"Oliver received a UB CSE Outstanding Funding Award for attracting over $3m of funding to the University at Buffalo in 2016.",
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"year" : 2016,
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"source" : "UB-CSE",
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"type" : "award",
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"individual" : "YES"
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},
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{ "description" :
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"The SIGMOD 2017 paper titled \"Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning\" was invited to submit a Best-Of-SIGMOD extended article to the ACM Transactions on Database Systems Journal.",
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"year" : 2017,
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"type" : "best-paper",
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"source" : "SIGMOD",
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"individual" : "NO"
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}
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],
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"reviewer" : [
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{ "venue" : "VLDBJ", "years" : [ 2013 ] },
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{ "venue" : "VLDBJ", "years" : [ 2013, 2017 ] },
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{ "venue" : "TKDE", "years" : [ 2013, 2014 ] },
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{ "venue" : "TODS", "years" : [ 2015 ] },
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{ "venue" : "CSE", "years" : [ 2015 ] },
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@ -181,14 +188,30 @@
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"class" : "software",
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"description" : "An index structure that dynamically adapts to variable workloads.",
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"released" : "07/2014",
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"url" : "http://github.com/UBOdin/jitd"
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"url" : "http://github.com/UBOdin/jitd",
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"metrics" : {
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"github" : {
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"watchers" : 5,
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"stars" : 5,
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"forks" : 16
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}
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},
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"metricsasof" : "July 27, 2017"
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},
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{
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"name" : "Mimir",
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"class" : "software",
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"released" : "01/2015",
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"description" : "A probabilistic overlay for database systems",
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"url" : "http://mimirdb.info"
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"url" : "http://mimirdb.info",
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"metrics" : {
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"github" : {
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"watchers" : 11,
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"stars" : 8,
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"forks" : 8
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}
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},
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"metricsasof" : "July 27, 2017"
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},
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{
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"name" : "DBToaster",
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|
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@ -28,7 +28,7 @@
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"role" : "Co-I",
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"amount" : 114781,
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"effort" : "50%",
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"status" : "submitted",
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||||
"status" : "rejected",
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||||
"start" : "12/2017", "end" : "05/2021",
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||||
"type" : "grant",
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"copis" : ["Barry Smith"],
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|
|
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186
db/lab.json
186
db/lab.json
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@ -1,17 +1,38 @@
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{
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"members" : {
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"Oliver Kennedy" : {
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"status" : "Faculty",
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"ubit" : "okennedy"
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"status" : "Assistant Professor",
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||||
"ubit" : "okennedy",
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"pic" : {
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||||
"file" : "http://odin.cse.buffalo.edu/assets/people/oliver.jpg",
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||||
"width" : 230,
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||||
"height" : 346
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},
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"github" : "okennedy",
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||||
"twitter" : "xthemage",
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||||
"scholar" : "9Q9tiCsAAAAJ",
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||||
"dblp" : "hd/k/Kennedy:Oliver",
|
||||
"cv" : "http://odin.cse.buffalo.edu/artifacts/okennedy.pdf"
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},
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||||
"Mike Brachman" : {
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"status" : "Senior Research Developer",
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"ubit" : "mrb24"
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"Mike Brachmann" : {
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||||
"status" : "Senior Scientific Programmer",
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||||
"ubit" : "mrb24",
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||||
"pic" : {
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||||
"file" : "https://avatars1.githubusercontent.com/u/25045473?v=4&s=460",
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||||
"width" : 200,
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||||
"height" : 200
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||||
},
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"github" : "mrb24"
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||||
},
|
||||
"Ting Xie" : {
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||||
"status" : "PhD",
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||||
"projects" : ["insider-threats"],
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"ubit" : "tingxie"
|
||||
"ubit" : "tingxie",
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||||
"pic" : {
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||||
"file" : "http://odin.cse.buffalo.edu/assets/people/ting.jpg",
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"width" : 270,
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"height" : 360
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}
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},
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||||
"Gökhan Kul" : {
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||||
"status" : "PhD",
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@ -19,14 +40,24 @@
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|||
"ubit" : "gokhanku",
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||||
"advisor" : ["Shambhu Upadhyaya"],
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"link" : "http://www.cse.buffalo.edu/~gokhanku/",
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||||
"joint_advisor": true
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||||
"joint_advisor": true,
|
||||
"pic" : {
|
||||
"file" : "https://www.cse.buffalo.edu/~gokhanku/gokhankul.png",
|
||||
"width" : 150,
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||||
"height" : 150
|
||||
}
|
||||
},
|
||||
"Duc Thanh Luong" : {
|
||||
"status" : "PhD",
|
||||
"projects" : ["insider-threats"],
|
||||
"ubit" : "ducthanh",
|
||||
"advisor" : ["Varun Chandola"],
|
||||
"link" : "http://www.cse.buffalo.edu/~ducthanh/"
|
||||
"link" : "http://www.cse.buffalo.edu/~ducthanh/",
|
||||
"pic" : {
|
||||
"file" : "https://www.cse.buffalo.edu//~ducthanh/img/profile_pic.jpg",
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||||
"width" : 160,
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||||
"height" : 220
|
||||
}
|
||||
},
|
||||
"Poonam Kumari" : {
|
||||
"status" : "PhD",
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@ -38,25 +69,11 @@
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|||
"projects" : ["mimir"],
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||||
"ubit" : "wmspoth"
|
||||
},
|
||||
"Jon Logan" : {
|
||||
"status" : "PhD",
|
||||
"projects" : ["mimir"],
|
||||
"email" : "jonathan.logan@cubrc.org",
|
||||
"ubit" : "jmlogan",
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Moises Sudit"]
|
||||
},
|
||||
"Aaron Huber" : {
|
||||
"status" : "PhD",
|
||||
"projects" : ["mimir"],
|
||||
"ubit" : "ahuber"
|
||||
},
|
||||
"Hank Lin" : {
|
||||
"status" : "BS",
|
||||
"projects" : ["astral"],
|
||||
"advisor" : ["Luke Ziarek"],
|
||||
"joint_advisor": true
|
||||
},
|
||||
"Saurav Singhi" : {
|
||||
"status" : "PhD",
|
||||
"projects" : ["astral"],
|
||||
|
|
@ -64,44 +81,77 @@
|
|||
"joint_advisor": true,
|
||||
"ubit" : "sauravsi"
|
||||
},
|
||||
"Grant Wrazen" : {
|
||||
"status" : "BS",
|
||||
"projects" : ["pocketdata"],
|
||||
"advisor" : ["Luke Ziarek", "Geoff Challen"],
|
||||
"joint_advisor": true
|
||||
},
|
||||
"Lisa Lu" : {
|
||||
"status" : "BS",
|
||||
"projects" : ["mimir"],
|
||||
"ubit" : "lisalu"
|
||||
"ubit" : "lisalu",
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Luke Ziarek"]
|
||||
},
|
||||
"Gourab Mitra" : {
|
||||
"status" : "MS",
|
||||
"projects" : ["astral"],
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Luke Ziarek"],
|
||||
"ubit" : "gourabmi"
|
||||
"ubit" : "gourabmi",
|
||||
"link" : "https://about.me/gourabmitra",
|
||||
"pic" : {
|
||||
"file" : "https://aboutme.imgix.net/background/users/g/o/u/gourabmitra_1493138987_082.jpg?q=40&dpr=2&auto=format&fit=max&w=200&h=267",
|
||||
"width" : 200,
|
||||
"height" : 267
|
||||
}
|
||||
|
||||
},
|
||||
"Shivang Aggarwal" : {
|
||||
"status" : "MS",
|
||||
"projects" : ["mimir"],
|
||||
"ubit" : "shivanga"
|
||||
"status" : "MS",
|
||||
"projects" : ["mimir"],
|
||||
"ubit" : "shivanga",
|
||||
"link" : "http://about.me/shivangaggarwal",
|
||||
"pic" : {
|
||||
"file" : "http://odin.cse.buffalo.edu/assets/people/shivang.jpg",
|
||||
"width" : 216,
|
||||
"height" : 199
|
||||
}
|
||||
},
|
||||
"Darshana Balakrishnan" : {
|
||||
"status" : "MS",
|
||||
"projects" : ["astral"],
|
||||
"ubit" : "dbalakri"
|
||||
"status" : "MS",
|
||||
"projects" : ["astral"],
|
||||
"ubit" : "dbalakri",
|
||||
"link": "https://about.me/darshanabalakrishnan",
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Luke Ziarek"],
|
||||
"link" : "https://about.me/darshanabalakrishnan",
|
||||
"pic" : {
|
||||
"file" : "https://aboutme.imgix.net/background/users/d/a/r/darshanabalakrishnan_1502635565_956.jpg?q=40&dpr=2&auto=format&fit=max&w=620&h=413.3333333333333&rect=200,319,500,640",
|
||||
"width" : 200,
|
||||
"height" : 256
|
||||
}
|
||||
},
|
||||
"Olivia Alphonce" : {
|
||||
"status" : "BS",
|
||||
"projects" : ["mimir"],
|
||||
"ubit" : "oalphonc"
|
||||
},
|
||||
"Carl Nuessle" : {
|
||||
"status" : "PhD",
|
||||
"projects" : ["pocketdata"],
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Luke Ziarek"],
|
||||
"pic" : {
|
||||
"file" : "http://odin.cse.buffalo.edu/assets/people/carl.jpg",
|
||||
"width" : 200,
|
||||
"height" : 200
|
||||
}
|
||||
}
|
||||
},
|
||||
"temp-leave" : {
|
||||
"Michael Kulbacki" : {
|
||||
"status" : "BS",
|
||||
"projects" : ["mimir"]
|
||||
"Jon Logan" : {
|
||||
"status" : "PhD",
|
||||
"projects" : ["mimir"],
|
||||
"email" : "jonathan.logan@cubrc.org",
|
||||
"ubit" : "jmlogan",
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Moises Sudit"]
|
||||
},
|
||||
"Lakshmi Prasanna Ethiraj" : {
|
||||
"status" : "BS",
|
||||
|
|
@ -137,7 +187,8 @@
|
|||
"company" : "Microsoft",
|
||||
"projects" : ["astral"],
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Lukasz Ziarek"]
|
||||
"advisor" : ["Lukasz Ziarek"],
|
||||
"status_updated" : 2017
|
||||
},
|
||||
"Sumit Agarwal" : {
|
||||
"degree" : "BS, MS",
|
||||
|
|
@ -146,7 +197,8 @@
|
|||
"position" : "Developer",
|
||||
"projects" : ["astral"],
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Lukasz Ziarek"]
|
||||
"advisor" : ["Lukasz Ziarek"],
|
||||
"status_updated" : 2014
|
||||
},
|
||||
"Daniel Bellinger" : {
|
||||
"company" : "Global Foundries",
|
||||
|
|
@ -155,25 +207,29 @@
|
|||
"year" : 2014,
|
||||
"projects" : ["astral"],
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Lukasz Ziarek"]
|
||||
"advisor" : ["Lukasz Ziarek"],
|
||||
"status_updated" : 2014
|
||||
},
|
||||
"Palaniappan Meiyappan" : {
|
||||
"company" : "NetSuite",
|
||||
"position" : "Software Engineer",
|
||||
"degree" : "MS",
|
||||
"year" : 2014
|
||||
"year" : 2014,
|
||||
"status_updated" : 2014
|
||||
},
|
||||
"Nikhil Kataria" : {
|
||||
"degree" : "MS",
|
||||
"year" : 2014,
|
||||
"position" : "Performance Engineer",
|
||||
"company" : "Salesforce"
|
||||
"company" : "Salesforce",
|
||||
"status_updated" : 2014
|
||||
},
|
||||
"Saket Adusumilli" : {
|
||||
"degree" : "MS",
|
||||
"year" : 2015,
|
||||
"position" : "Software Engineer",
|
||||
"company" : "Amazon Web Services"
|
||||
"company" : "Amazon Web Services",
|
||||
"status_updated" : 2015
|
||||
},
|
||||
"Thomas Mitchell" : {
|
||||
"degree" : "BS",
|
||||
|
|
@ -182,7 +238,8 @@
|
|||
"company" : "Stark and Wayne",
|
||||
"year" : 2015,
|
||||
"joint_advisor" : true,
|
||||
"advisor" : ["Varun Chandola", "Shambhu Upadhyaya"]
|
||||
"advisor" : ["Varun Chandola", "Shambhu Upadhyaya"],
|
||||
"status_updated" : 2016
|
||||
},
|
||||
"Vinayak Karuppasamy" : {
|
||||
"degree" : "MS",
|
||||
|
|
@ -190,7 +247,8 @@
|
|||
"ubit" : "vinayakk",
|
||||
"position" : "Software Engineer",
|
||||
"company" : "Bloomberg",
|
||||
"year" : 2015
|
||||
"year" : 2015,
|
||||
"status_updated" : 2015
|
||||
},
|
||||
"Arindam Nandi" : {
|
||||
"degree" : "MS",
|
||||
|
|
@ -199,7 +257,8 @@
|
|||
"link" : "http://legacy25.github.io/about.html",
|
||||
"position" : "Software Engineer",
|
||||
"company" : "HPE/Vertica",
|
||||
"year" : 2016
|
||||
"year" : 2016,
|
||||
"status_updated" : 2017
|
||||
},
|
||||
"Niccolò Meneghetti" : {
|
||||
"degree" : "PhD",
|
||||
|
|
@ -210,7 +269,8 @@
|
|||
"position" : "Software Engineer",
|
||||
"company" : "HPE/Vertica",
|
||||
"joint_advisor" : true,
|
||||
"year" : 2016
|
||||
"year" : 2016,
|
||||
"status_updated" : 2017
|
||||
},
|
||||
"Ying Yang" : {
|
||||
"degree" : "PhD",
|
||||
|
|
@ -219,15 +279,37 @@
|
|||
"ubit" : "yyang25",
|
||||
"year" : 2017,
|
||||
"position" : "Software Engineer",
|
||||
"company" : "Oracle"
|
||||
"company" : "Oracle",
|
||||
"status_updated" : 2017
|
||||
},
|
||||
"Patrick Coonan" : {
|
||||
"status" : "BS/MS",
|
||||
"degree" : "BS/MS",
|
||||
"projects" : ["insider-threats"],
|
||||
"ubit" : "pcoonan",
|
||||
"year" : 2017,
|
||||
"position" : "Software Engineer",
|
||||
"company" : "Roswell Park Cancer Institute"
|
||||
"company" : "Roswell Park Cancer Institute",
|
||||
"status_updated" : 2017
|
||||
},
|
||||
"Grant Wrazen" : {
|
||||
"degree" : "BS",
|
||||
"year" : 2017,
|
||||
"projects" : ["pocketdata"],
|
||||
"advisor" : ["Luke Ziarek", "Geoff Challen"],
|
||||
"joint_advisor": true,
|
||||
"position" : "Software Engineer",
|
||||
"company" : "ACV Auctions",
|
||||
"status_updated" : 2017
|
||||
},
|
||||
"Hank Lin" : {
|
||||
"degree" : "BS",
|
||||
"year" : 2017,
|
||||
"projects" : ["astral"],
|
||||
"advisor" : ["Luke Ziarek"],
|
||||
"joint_advisor": true,
|
||||
"position" : "Software Engineer",
|
||||
"company" : "FactSet",
|
||||
"status_updated" : 2017
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -1,4 +1,14 @@
|
|||
[
|
||||
{
|
||||
"title" : "Interactive Data Management and Data Analysis",
|
||||
"authors" : ["Ying Yang"],
|
||||
"venue" : "UB-PhD",
|
||||
"year" : 2017,
|
||||
"projects" : ["mimir"],
|
||||
"urls" : {
|
||||
"thesis" : "https://search.proquest.com/docview/1925945636"
|
||||
}
|
||||
},
|
||||
{
|
||||
"title" : "Beta Probabilistic Databases: A Scalable Approach to Belief Updating and Parameter Learning",
|
||||
"authors" : [
|
||||
|
|
@ -15,7 +25,12 @@
|
|||
"video" : "https://youtu.be/CbTaDRdTG7s?t=2m56s",
|
||||
"slides" : "http://odin.cse.buffalo.edu/slides/conference/2017-Niccolo-BetaPDBs.pptx",
|
||||
"poster" : "http://odin.cse.buffalo.edu/slides/conference/2017-Niccolo-BetaPDBs-poster.ppt"
|
||||
}
|
||||
},
|
||||
"grants_cited" : [
|
||||
{ "agency" : "NSF: CISE: SaTC", "agency_id" : "1409551" },
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016", "project_name" : "Intuitive Data Interpretation" },
|
||||
{ "agency" : "The US Naval Postgraduate School", "agency_id" : "N00244-16-1-0022" }
|
||||
]
|
||||
},
|
||||
{
|
||||
"title" : "Small Data (Panel Discussion)",
|
||||
|
|
@ -66,8 +81,9 @@
|
|||
"slides" : "http://odin.cse.buffalo.edu/slides/talks/2017-1-EDBT-Inference/"
|
||||
},
|
||||
"grants_cited" : [
|
||||
{ "agency" : "NSF: CISE: SaTC", "agency_id" : "1409551" },
|
||||
{ "agency" : "NSF: ACI: DIBBS", "agency_id" : "1640864" },
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016" }
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016", "project_name" : "Intuitive Data Interpretation" }
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -87,7 +103,7 @@
|
|||
},
|
||||
"grants_cited" : [
|
||||
{ "agency" : "NSF: ACI: DIBBS", "agency_id" : "1640864" },
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016" },
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016", "project_name" : "Intuitive Data Interpretation" },
|
||||
{ "agency" : "The US Naval Postgraduate School", "agency_id" : "N00244-16-1-0022" }
|
||||
]
|
||||
},
|
||||
|
|
@ -142,7 +158,7 @@
|
|||
},
|
||||
"grants_cited" : [
|
||||
{ "agency" : "NSF: ACI: DIBBS", "agency_id" : "1640864" },
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016" },
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016", "project_name" : "Intuitive Data Interpretation" },
|
||||
{ "agency" : "The US Naval Postgraduate School", "agency_id" : "N00244-16-1-0022" }
|
||||
]
|
||||
},
|
||||
|
|
@ -160,7 +176,7 @@
|
|||
"slides" : "http://odin.cse.buffalo.edu/slides/talks/2016-4-HILDA/"
|
||||
},
|
||||
"grants_cited" : [
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016" }
|
||||
{ "agency" : "Oracle University Relations", "start_date" : "05/2016", "project_name" : "Intuitive Data Interpretation" }
|
||||
]
|
||||
},
|
||||
{ "title": "Provenance-aware Versioned Dataworkspaces",
|
||||
|
|
|
|||
|
|
@ -111,7 +111,7 @@ class CV < Latex::Builder
|
|||
textbf { huge; puts @title }
|
||||
hfill
|
||||
textbf { huge; puts @data["name"] }
|
||||
vspace "0.05in"
|
||||
endl "0.05in"
|
||||
hrule
|
||||
end
|
||||
|
||||
|
|
@ -378,7 +378,7 @@ class CV < Latex::Builder
|
|||
|
||||
noindent
|
||||
|
||||
tabular("rl") do
|
||||
tabular("p{0.15\\textwidth}p{0.8\\textwidth}") do
|
||||
|
||||
# For each field being displayed
|
||||
fields_to_display.each do |k|
|
||||
|
|
@ -435,7 +435,7 @@ class CV < Latex::Builder
|
|||
else # case k
|
||||
puts r[k]
|
||||
end # case k
|
||||
endl
|
||||
endl("0.02in")
|
||||
end # unless r[k].nil?
|
||||
end # fields_to_display.each
|
||||
end # block("tabular") (field table)
|
||||
|
|
@ -743,9 +743,10 @@ class CV < Latex::Builder
|
|||
case m
|
||||
when "sitevisits" then "#{safe_text v} unique website visitors"
|
||||
when "downloads" then "#{safe_text v} unique downloads"
|
||||
when "github" then v.to_a.map { |gh_m, gh_v| "#{gh_v.to_i} GitHub #{gh_m}" }
|
||||
else puts "#{safe_text v} #{safe_text m}"
|
||||
end
|
||||
end
|
||||
end.flatten
|
||||
|
||||
case metrics.length
|
||||
when 0 then raise "Empty Metrics Field for #{r["name"]}"
|
||||
|
|
|
|||
|
|
@ -256,4 +256,28 @@ module LabMetadata
|
|||
return { "name" => name }.merge(info)
|
||||
end
|
||||
|
||||
def LabMetadata.format_pub_for_report(pub)
|
||||
pub = LabMetadata::complete_venue(pub)
|
||||
pub =
|
||||
case pub["type"]
|
||||
when "conference", "journal", "workshop", "abstract" then
|
||||
[ pub["title"],
|
||||
pub["authors"].join(", "),
|
||||
"#{LabMetadata::venue_name(pub, size: :full_parens)} #{pub["year"]}",
|
||||
pub["urls"].map { |k,v| "#{k.capitalize}: #{v}" },
|
||||
LabMetadata.bibtex_for(pub).split("\n")
|
||||
].flatten
|
||||
when "thesis" then
|
||||
[ pub["title"],
|
||||
pub["authors"].join(", "),
|
||||
"Thesis #{pub["degree"]} #{pub["year"]}",
|
||||
pub.fetch("urls", []).map { |k,v| "#{k.capitalize}: #{v}" },
|
||||
LabMetadata.bibtex_for(pub).split("\n")
|
||||
].flatten
|
||||
else nil
|
||||
end
|
||||
pub = "> " + pub.join("\n ") unless pub.nil?
|
||||
return pub
|
||||
end
|
||||
|
||||
end
|
||||
|
|
@ -4,9 +4,27 @@ title: Members and Affiliates
|
|||
<div class="person_list">
|
||||
<h1>Lab Members</h1>
|
||||
<% $db["lab/members"].each do |member, data| %>
|
||||
<div class="person">
|
||||
<div class="person" style="vertical-align: middle;">
|
||||
<%
|
||||
pic = data.fetch("pic", { "file" => "../assets/people/missing.png", "width" => 275, "height" => 438 })
|
||||
pic_scale = 50.0 / [ pic["width"].to_i, pic["height"].to_i ].max
|
||||
padding_width = [ (50.0 - pic["width"].to_i * pic_scale) / 2, 0 ].max
|
||||
padding_height = [ (50.0 - pic["height"].to_i * pic_scale) / 2, 0 ].max
|
||||
%>
|
||||
|
||||
<img
|
||||
src="<%= pic["file"] %>"
|
||||
width="<%= pic["width"].to_i * pic_scale %>"
|
||||
height="<%= pic["height"].to_i * pic_scale %>"
|
||||
style="
|
||||
margin-left: <%= padding_width %>px;
|
||||
margin-right: <%= padding_width + 20 %>px;
|
||||
margin-top: <%= padding_height %>px;
|
||||
margin-bottom: <%= padding_height %>px;
|
||||
"
|
||||
/>
|
||||
<a href="<%= if data["link_relative"] then File.join(root_path, data["link"]) else data["link"] end %>"><%= member %></a>
|
||||
<span class="status">
|
||||
<span class="status" style="padding-top: 15px;">
|
||||
<%= data["status"] %>
|
||||
<% if data.has_key? "advisor" %>;
|
||||
<%= if data.has_key? "joint_advisor" then "Jointly " else "" end %>
|
||||
|
|
|
|||
|
|
@ -1,14 +1,5 @@
|
|||
---
|
||||
title: Oliver Kennedy
|
||||
github: okennedy
|
||||
twitter: xthemage
|
||||
scholar: 9Q9tiCsAAAAJ
|
||||
dblp: hd/k/Kennedy:Oliver
|
||||
cv: http://odin.cse.buffalo.edu/artifacts/okennedy.pdf
|
||||
pic:
|
||||
file: ../assets/people/oliver.jpg
|
||||
width: 230
|
||||
height: 346
|
||||
---
|
||||
|
||||
Oliver Kennedy is an Assistant Professor at the University at Buffalo. Oliver's primary area of research is Databases, although his research interests frequently cross over into Programming Languages and Datastructures. His work focuses on self-service analytics, making messy data, schema design, and physical layout decisions more approachable. Through real-world usage metrics gathered from industry collaborations and the use of real-world testbeds, Oliver's work aims to address the practical problems faced by data consumers everywhere. His projects include a UI for ad-hoc cleaning and analytics called <a href="http://www.mimirdb.info">Mimir</a> and a universal, <a href="/research/astral/index.html">Just In-Time Datastructure</a>.
|
||||
|
|
|
|||
|
|
@ -0,0 +1,25 @@
|
|||
<div id="disqus_thread"></div>
|
||||
<script>
|
||||
|
||||
/**
|
||||
* RECOMMENDED CONFIGURATION VARIABLES: EDIT AND UNCOMMENT THE SECTION BELOW TO INSERT DYNAMIC VALUES FROM YOUR PLATFORM OR CMS.
|
||||
* LEARN WHY DEFINING THESE VARIABLES IS IMPORTANT: https://disqus.com/admin/universalcode/#configuration-variables*/
|
||||
/*
|
||||
var disqus_config = function () {
|
||||
|
||||
// Replace PAGE_URL with your page's canonical URL variable
|
||||
this.page.url = http://odin.cse.buffalo.edu/teaching/cse-662/2017fa/disqus_test.html;
|
||||
|
||||
// Replace PAGE_IDENTIFIER with your page's unique identifier variable
|
||||
this.page.identifier = "cse662.2017fa.test;
|
||||
};
|
||||
*/
|
||||
(function() { // DON'T EDIT BELOW THIS LINE
|
||||
var d = document, s = d.createElement('script');
|
||||
s.src = 'https://ubodin.disqus.com/embed.js';
|
||||
s.setAttribute('data-timestamp', +new Date());
|
||||
(d.head || d.body).appendChild(s);
|
||||
})();
|
||||
</script>
|
||||
<noscript>Please enable JavaScript to view the <a href="https://disqus.com/?ref_noscript">comments powered by Disqus.</a></noscript>
|
||||
|
||||
|
|
@ -0,0 +1,215 @@
|
|||
---
|
||||
title: CSE 662 - Languages and Runtimes for Big Data - Fall 2016
|
||||
---
|
||||
# CSE 662 - Fall 2017
|
||||
|
||||
Addressing the challenges of big data requires a combination of human intuition
|
||||
and automation. Rather than tackling these challenges head-on with
|
||||
build-from-scratch solutions, or through general-purpose database systems,
|
||||
developer and analyst communities are turning to building blocks: Specialized
|
||||
languages, runtimes, data-structures, services, compilers, and frameworks that
|
||||
simplify the task of creating a systems that are powerful enough to handle
|
||||
terabytes of data or more or efficient enough to run on your smartphone. In
|
||||
this class, we will explore these fundamental building blocks and how they
|
||||
relate to the constraints imposed by workloads and the platforms they run on.
|
||||
|
||||
Coursework consists of lectures and a multi-stage final project. Students are
|
||||
expected to attend all lectures. Projects may be performed individually or in
|
||||
groups. Projects will be evaluated in three stages through code deliverables,
|
||||
reports, and group meetings with either or both of the instructors. During
|
||||
these meetings, instructors will question the entire group extensively about
|
||||
the group's report, deliverables, and any related tools and technology.
|
||||
|
||||
1. At initial stage, students are expected to demonstrate a high level of
|
||||
proficiency with the tools, techniques, data structures, algorithms and
|
||||
source code that will form the basis of their project. The group is expected
|
||||
to submit and defend a roughly 5-page report surveying the space in which
|
||||
their project will be performed. This report and presentation constitute 15%
|
||||
of the final grade.
|
||||
2. At the second stage, students are expected to provide a detailed design for
|
||||
their final project. A roughly 5-page report should outline the group’s
|
||||
proposed design, any algorithms or data structures being introduced, as well
|
||||
as a strategy for evaluating the resulting project against the current state
|
||||
of the art. This report and presentation constitute 35% of the final grade.
|
||||
3. At the final stage, students are expected to provide a roughly 5-page report
|
||||
detailing their project, any algorithms or data structures developed, and
|
||||
evaluating their project against any comparable state of the art systems and
|
||||
techniques. Groups will also be expected to demon- strate their project and
|
||||
present their findings in-class, or in a meeting with both instructors if
|
||||
necessitated by time constraints. This report and presentation constitute
|
||||
50% of the final grade.
|
||||
|
||||
-----
|
||||
|
||||
## Information
|
||||
* **Instructors**
|
||||
* Oliver Kennedy (Davis 338H; Office Hours Weds 1:00-3:00)
|
||||
* **Time**: MWF 12:00-12:50
|
||||
* **Location**: Knox 04
|
||||
|
||||
------
|
||||
|
||||
## Course Objectives
|
||||
|
||||
After the taking the course, students should be able to:
|
||||
|
||||
* **Design domain specific query languages**, by first developing an understanding
|
||||
the common tropes of a target domain, exploring ways of allowing users to
|
||||
efficiently express those tropes, and developing ways of mapping the resulting
|
||||
programs to an efficient evaluation strategy.
|
||||
|
||||
* **Identify concurrency challenges in data-intensive computing tasks**, and
|
||||
address them through locking, code associativity, and correctness analysis.
|
||||
|
||||
* **Understand a variety of index data structures**, as well as their application
|
||||
and use in data management systems for high velocity, volume, veracity,
|
||||
and/or variety data.
|
||||
|
||||
* **Understand query and program compilation techniques**, including the design of
|
||||
intermediate representations, subexpression equivalence, cost estimation, and
|
||||
the construction of target-representation code.
|
||||
|
||||
-----
|
||||
|
||||
## Course Schedule
|
||||
|
||||
* **Aug. 28** : Introduction ([overview](2017-08-28-Introduction.html))
|
||||
* **Aug. 30** : Project Seeds - Mimir
|
||||
* **Sept. 01** : Project Seeds - JITDs & PocketData
|
||||
* **Sept. 04** : Database Cracking ( [Cracking](http://stratos.seas.harvard.edu/files/IKM_CIDR07.pdf) )
|
||||
* **Sept. 06** : Functional Data Structures
|
||||
* **Sept. 12** : Just-in-Time Data Structures ( [JITDs])(http://odin.cse.buffalo.edu/papers/2015/CIDR-jitd-final.pdf) )
|
||||
* **Sept. 8** : Incomplete Databases 1
|
||||
* **Sept. 11** : Incomplete Databases 2
|
||||
* **Sept. 13** : Incomplete Databases 3
|
||||
* **Sept. 15** : Mimir ( [Mimir](http://odin.cse.buffalo.edu/papers/2015/VLDB-lenses-final.pdf) )
|
||||
* **Sept. 18** : MayBMS ( [MayBMS](http://maybms.sourceforge.net/download/INFOSYS-TR-2007-2.pdf) )
|
||||
* **Sept. 20** : Sampling From Probabilistic Queries ( [MCDB](http://dl.acm.org/citation.cfm?id=1376686) )
|
||||
* **Sept. 22** : Probabilistic Constraint Repair ( [Sampling from Repairs](https://cs.uwaterloo.ca/~ilyas/papers/BeskalesVLDBJ2014.pdf) )
|
||||
* **Sept. 25** : R-Trees and Multidimensional Indexing
|
||||
* **Sept. 27 - Sept. 29** : Student Project Presentations
|
||||
* **Oct. 2** : BloomL ( [Bloom/Bud](http://cidrdb.org/cidr2011/Papers/CIDR11_Paper35.pdf), [BloomL](http://dl.acm.org/citation.cfm?id=2391230) )
|
||||
* **Oct. 4 - Oct. 6** : *Oliver Away* (Content TBD)
|
||||
* **Oct. 9** : NoDB ( [NoDB](http://www.vldb.org/pvldb/vol7/p1119-karpathiotakis.pdf) )
|
||||
* **Oct. 11 - Oct. 13** : Student Project Presentations
|
||||
* **Oct. 16** : Lazy Transactions ( [Stickies](http://dl.acm.org/citation.cfm?id=2610529) )
|
||||
* **Oct. 18** : Streaming ( [Cayuga](http://www.cs.cornell.edu/johannes/papers/2007/2007-CIDR-Cayuga.pdf) )
|
||||
* **Oct. 20** : Scan Sharing ( [Crescando](http://dl.acm.org/citation.cfm?id=1807326) )
|
||||
* **Oct. 23 - Oct. 27** : Checkpoint 2 Reviews
|
||||
* **Oct. 30** : Declarative Games ( [SGL](https://infoscience.epfl.ch/record/166858/files/31-sigmod2007_games.pdf) )
|
||||
* **Nov. 1 - Nov. 3** : Student Project Presentations
|
||||
* **Nov. 6 - Nov. 10** : *Oliver Away* (Content TBD)
|
||||
* **Nov. 13** : *Buffer*
|
||||
* **Nov. 15 - Nov. 17** : Student Project Presentations
|
||||
* **Nov. 20** : *Buffer*
|
||||
* **Nov. 22 - Nov. 24** : Student Project Presentations
|
||||
* **Nov. 27** : *Buffer*
|
||||
* **Nov. 29 - Dec. 1** : Student Project Presentations
|
||||
* **Dec. 4 - Dec. 8** : Checkpoint 3 Reviews
|
||||
|
||||
-----
|
||||
|
||||
## Project Seeds
|
||||
|
||||
#### Deferred Constraint-Based Data Validation
|
||||
|
||||
There are a number of reasons that data might go bad: sensor errors, data entry errors, lag spikes, filesystem corruption, and more. One thing is certain though: you don't want to make decisions based on bad data. What people will often do is do basic sanity checks. For example, if we have a record of someone checking _out_ of a hospital, we should have a record of them checking _in_ at some point earlier. Declaring these sanity checks is hard, but fixing violations is even harder. In this project, you will explore ways to safely defer repairing the data. Challenges include:
|
||||
|
||||
1. Deciding what types of sanity constraints you want to be able to support.
|
||||
2. Interfacing with an existing database (Spark, SQLite, or Oracle) to identify sets of tuples that come together to violate a sanity constraint.
|
||||
3. Using Mimir to warning users when a query result depends on a tuple that participates in a violation
|
||||
4. Suggesting and ranking modifications that repair violations
|
||||
|
||||
###### Background material:
|
||||
|
||||
* [Sampling from Repairs](https://cs.uwaterloo.ca/~ilyas/papers/BeskalesVLDBJ2014.pdf)
|
||||
* [Qualitative Data Cleaning](http://dl.acm.org/citation.cfm?id=3007320)
|
||||
* [Mimir Website](http://mimirdb.info)
|
||||
* [Mimir on GitHub](https://github.com/UBOdin/mimir)
|
||||
* [Mimir Concepts](https://github.com/ubodin/mimir/wiki/Concepts)
|
||||
|
||||
#### Query Sampling Optimizer
|
||||
|
||||
Most probabilistic database systems aim to produce all possible results. A few, most notably [MCDB](http://dl.acm.org/citation.cfm?id=1376686), instead generate samples of possible results. The basic idea is to split the database into a fixed number (N) of _possible worlds_, and run the query on all N possible worlds in parallel. There are actually a few different ways to do this. Three relatively common examples include:
|
||||
|
||||
* **Naive**: Literally run N copies of the query and union the results at the end.
|
||||
* **Interleave**: Tag each tuple with the possible world that it comes from, and then just run one query. Make sure the query ensures that tuples from different possible worlds can't interact (i.e., Joins always happen between tuples from the same world and the world becomes another group-by column)
|
||||
* **Tuple Bundle**: Create mega-tuples, that represent alternative versions of the same tuple in different possible worlds. If an attribute value is the same in all possible worlds store only one copy of it. (See [MCDB](http://dl.acm.org/citation.cfm?id=1376686))
|
||||
|
||||
Perhaps counterintuitively, our preliminary implementations of the [Interleave](https://github.com/UBOdin/mimir/blob/master/src/main/scala/mimir/exec/mode/SampleRows.scala) and [Tuple Bundle](https://github.com/UBOdin/mimir/blob/master/src/main/scala/mimir/exec/mode/TupleBundle.scala) algorithms suggest that none of these approaches will be the best in all cases. For example, in a simple select-aggregate query, tuple-bundles are the most efficient. Conversely, if you're joining on an attribute with different values in each possible world, interleave will be faster. We suspect that there are some cases where Naive will win out as well. The aim of this project is to implement a query optimizer for sampling-based probabilistic database queries. If I hand you a query, you tell me which strategy is fastest for that query. As an optional extension, you may be able to interleave different strategies, each evaluating a different part of the query.
|
||||
|
||||
###### Background material:
|
||||
|
||||
* [MCDB](http://dl.acm.org/citation.cfm?id=1376686)
|
||||
* [BlinkDB](http://blinkdb.org/)
|
||||
* [Mimir Website](http://mimirdb.info)
|
||||
* [Mimir on GitHub](https://github.com/UBOdin/mimir)
|
||||
* [Probabilistic Databases](https://github.com/ubodin/mimir/wiki/Concepts-CTables)
|
||||
|
||||
#### Explaining Offset-Outliers
|
||||
|
||||
When looking at queries, a common question is "why is this result the way it is?" While a broad question, database researchers have been hard at work isolating and addressing specific cases. For this particular project, we'd like to explore one specific category of explanation, where users have provided us with points of stability: Group-by aggregates that are supposed to remain stable over time. For example, consider
|
||||
```
|
||||
SELECT author, STDDEV(cnt) FROM (
|
||||
SELECT author, year, COUNT(*) AS cnt FROM Publications
|
||||
);
|
||||
```
|
||||
This query gives the variation per user in terms of number of publications per year. We might use a query like this to define a constraint that says "For any author, the number of publications per year stays roughly constant". Constraints like this help can us to explain aggregate values. For example let's say you run the following query and the result is lower than expected.
|
||||
```
|
||||
SELECT COUNT(*) FROM Publications WHERE author = 'Alice' AND venue = 'ICDE' AND year = 2017;
|
||||
```
|
||||
If you ask "Why is this result so low", the system can look at the above constraint and figure out that there's another aggregate query that is higher than usual (to preserve the stability of the publications/year constraint defined above)
|
||||
```
|
||||
SELECT COUNT(*) FROM Publications WHERE author = 'Alice' AND venue = 'ICDE' AND year = 2017;
|
||||
```
|
||||
The aim of this project would be to implement a simple frontend to an existing database system (Spark, SQLite, or Oracle) that accepts a set of constrants and answers questions like this. This project is part of ongoing joint work with Boris Glavic and Sudeepa Roy.
|
||||
|
||||
###### Background material:
|
||||
|
||||
* [Causality and Explanations in Databases](https://users.cs.duke.edu/~sudeepa/vldb2014-Tutorial-causality-explanations.pdf)
|
||||
* [DBExplain](https://cudbg.github.io/lab/dbexplain)
|
||||
* [Scorpion](http://sirrice.github.io/files/papers/scorpion-vldb13.pdf)
|
||||
|
||||
|
||||
#### Adaptive Multidimensional Indexing
|
||||
|
||||
(Summary In Progress)
|
||||
|
||||
#### Mimir on SparkSQL
|
||||
|
||||
(Summary In Progress)
|
||||
|
||||
#### Garbage Collection in Embedded Databases
|
||||
|
||||
(Summary In Progress)
|
||||
|
||||
|
||||
|
||||
-----
|
||||
|
||||
## Academic Content
|
||||
|
||||
The course will involve lectures and readings drawn from an assortment of
|
||||
academic papers selected by the instructors. There is no textbook for the
|
||||
course.
|
||||
|
||||
-----
|
||||
|
||||
## Academic Integrity
|
||||
Students may discuss and advise one another on their lab projects, but groups
|
||||
are expected to turn in their own work. Cheating on any course deliverable will
|
||||
result in automatic failure of the course. The University policy on academic
|
||||
integrity can be reviewed at:
|
||||
http://academicintegrity.buffalo.edu/policies/index.php
|
||||
|
||||
-----
|
||||
|
||||
## Accessibility Resources
|
||||
If you have a diagnosed disability (physical, learning, or psychological) that
|
||||
will make it difficult for you to carry out the course work as outlined, or
|
||||
that requires accommodations such as recruiting note-takers, readers, or
|
||||
extended time on exams or assignments, please advise the instructor during the
|
||||
first two weeks of the course so that we may review possible arrangements for
|
||||
reasonable accommodations. In addition, if you have not yet done so, contact
|
||||
the Office of Accessibility Resources (formerly the Office of Disability
|
||||
Services).
|
||||
|
|
@ -0,0 +1,6 @@
|
|||
---
|
||||
redirect: 2017sp/index.html
|
||||
title: CSE 662 - Languages and Runtimes for Big Data
|
||||
---
|
||||
|
||||
Redirecting you <a href="2017fa/index.html">here</a>...
|
||||
|
|
@ -2,15 +2,12 @@
|
|||
title: Courses
|
||||
---
|
||||
|
||||
<h2>Database Seminar</h2>
|
||||
|
||||
<ul>
|
||||
<li><a href="<%=root_path("seminar/index.html")%>">Spring 2016</a></li>
|
||||
<li><a href="<%=root_path("seminar/2015fa.html")%>">Fall 2015</a></li>
|
||||
</ul>
|
||||
|
||||
<h2>CSE 4/562 - Database Systems</h2>
|
||||
|
||||
<p>
|
||||
<b>Database Systems</b> teaches the inner workings of data management systems. Focus areas include organizational data structures (physical layouts, indexes, materialized views), data processing algorithms (join, sort), query optimization (relational algebra equivalences, query planning, cost modeling), transactional semantics (X-serializability, locking, OCC, MVCC), and recovery (WAL, Undo Logging, ARIES). The course involves a term-long project where students build a qyery processing system.
|
||||
</p>
|
||||
|
||||
<ul>
|
||||
<li><a href="cse-562/2017sp/index.html">Spring 2017</a> (Graduate Only)</li>
|
||||
<li><a href="cse-462/index.html">Spring 2016</a> (Undergraduate Only)</li>
|
||||
|
|
@ -19,17 +16,36 @@ title: Courses
|
|||
<li><a href="https://piazza.com/buffalo/spring2013/cse562/home">Spring 2013</a> (Graduate Only)</li>
|
||||
</ul>
|
||||
|
||||
<h2>CSE 662 - Langs & Runtimes for Big Data</h2>
|
||||
<h2>CSE 662 - Languages & Runtimes for Big Data</h2>
|
||||
|
||||
<p>
|
||||
<b>Languages & Runtimes for Big Data</b> is a project based course exploring topics at the intersection of Data Management and Programming languages. Focus areas include indexing, databases on new hardware, uncertain data management, and concurrency. In addition to reading papers from ongoing research in these areas, students are expected to complete a term-long project based on one of several seed ideas provided by the instructors.
|
||||
</p>
|
||||
|
||||
<ul>
|
||||
<li><a href="cse-662/index.html">Fall 2016</a></li>
|
||||
<li><a href="cse-662/2017fa/index.html">Fall 2017</a></li>
|
||||
<li><a href="cse-662/2016fa/index.html">Fall 2016</a></li>
|
||||
<li><a href="https://piazza.com/buffalo/fall2015/cse662/home">Fall 2015</a></li>
|
||||
</ul>
|
||||
|
||||
<h2>UBDB Seminar</h2>
|
||||
|
||||
<p>We run a yearly seminar with invited speakers from the database community each spring.</p>
|
||||
|
||||
<ul>
|
||||
<li><a href="<%=root_path("seminar/index.html")%>">UBDB 2016</a></li>
|
||||
<li><a href="<%=root_path("seminar/2015fa.html")%>">UBDB 2015</a></li>
|
||||
</ul>
|
||||
|
||||
<h2>CSE 704 - Seminar</h2>
|
||||
|
||||
<p>
|
||||
Seminar topics vary from term to term. At present, no further official seminars will be held.
|
||||
</p>
|
||||
|
||||
<ul>
|
||||
<li><a href="https://piazza.com/buffalo/fall2014/cse704/home">Fall 2014 - DB, PL, and Data Structures</a></li>
|
||||
<li><a href="https://piazza.com/buffalo/fall2013/cse704/home">Fall 2013 - Streaming, Incrementa, and Online Data Processing</a></li>
|
||||
<li><a href="http://www.cse.buffalo.edu/~okennedy/courses/cse704fa2012.html">Fall 2012 - Web-Scale Data Management</a></li>
|
||||
</ul>
|
||||
</ul>
|
||||
|
||||
|
|
|
|||
|
|
@ -11,6 +11,14 @@ name = if defined? name then name else "A Mysterious Stranger" end
|
|||
<% end %>
|
||||
<% end %>
|
||||
<h1><%= name %></h1>
|
||||
<% if defined? status %>
|
||||
<h5><%=
|
||||
case status
|
||||
when "PhD", "MS", "BS" then status + " student"
|
||||
else status
|
||||
end
|
||||
%></h5>
|
||||
<% end %>
|
||||
|
||||
<div class="links">
|
||||
<% if defined? github %><a href="http://github.com/<%=github%>">GitHub</a><% end %>
|
||||
|
|
@ -22,7 +30,10 @@ name = if defined? name then name else "A Mysterious Stranger" end
|
|||
|
||||
<%= body %>
|
||||
|
||||
<h2>Publications</h2>
|
||||
<%= LabMetadata::render_pubs(LabMetadata::publications_for(name)) %>
|
||||
<% pubs = LabMetadata::publications_for(name) %>
|
||||
<% unless pubs.empty? %>
|
||||
<h2>Publications</h2>
|
||||
<%= LabMetadata::render_pubs(pubs) %>
|
||||
<% end %>
|
||||
|
||||
</div>
|
||||
Loading…
Reference in New Issue