Bongjun Kim CS AudioMusic

Interactive Machine Learning Audio Signal Processing HCI. In the Department of Electrical Engineering and. He is also a. Segal Design Cluster Fellow. He received his B.S. and M.S. in Industrial and Information Systems Engineering from Ajou University. And MS. in Culture Technology from Korea Advanced Institute of Science and Technology KAIST. His current research interests include. Machine learning, audiomusic signal. He also enjoys working on. A musical interface and interactive media art.

OVERVIEW

This site bongjunkim.com presently has an average traffic ranking of zero (the smaller the more users). We have sifted six pages within the web site bongjunkim.com and found two websites interfacing with bongjunkim.com. There is one contacts and addresses for bongjunkim.com to help you correspond with them. This site bongjunkim.com has been online for six hundred and twelve weeks, twenty-six days, eight minutes, and twenty-three seconds.
Pages Analyzed
6
Links to this site
2
Contacts
1
Locations
1
Online Since
Oct 2012

BONGJUNKIM.COM RANKINGS

This site bongjunkim.com is seeing varying amounts of traffic throughout the the year.
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BONGJUNKIM.COM HISTORY

This site bongjunkim.com was first documented on October 08, 2012. It was changed on the date of September 26, 2013. It will go back on the market on October 08, 2014. As of today, it is six hundred and twelve weeks, twenty-six days, eight minutes, and twenty-three seconds old.
REGISTERED
October
2012
UPDATED
September
2013
EXPIRED
October
2014

MATURITY

11
YEARS
8
MONTHS
26
DAYS

LINKS TO WEB PAGE

Interactive Audio Lab - Home

Let us find that song stuck in your head. A music search engine you can sing to. Estimate missing information in audio. Amplify sounds coming from a particular direction. Separation by repetition, by repetition, by repetition, . Separate music sources in real time with the help of a musical score. Track more than one pitch at once. On Friday, June 23, 2017.

Interactive Audio Lab - Home

Let us find that song stuck in your head. The Interactive Audio Lab of Northwestern University. Or through the department of Electrical Engineering and Computer Science. A music search engine you can sing to. Estimate missing information in audio. Amplify sounds coming from a particular direction. Separation by repetition, by repetition, by repetition, . Separate music sources in real time with the help of a musical score.

WHAT DOES BONGJUNKIM.COM LOOK LIKE?

Desktop Screenshot of bongjunkim.com Mobile Screenshot of bongjunkim.com Tablet Screenshot of bongjunkim.com

CONTACTS

Bongjun Kim

301-328 Raemian Sangdo 3-cha Apt. Sangdo 1(il)-dong Dongjak- gu Seoul

Seoul, 156732

KR

BONGJUNKIM.COM HOST

We revealed that a lone page on bongjunkim.com took one thousand five hundred and seventeen milliseconds to stream. We could not find a SSL certificate, so we consider this site not secure.
Load time
1.517 seconds
SSL
NOT SECURE
Internet Address
112.175.50.179

NAME SERVERS

ns1.cafe24.co.kr
ns1.cafe24.com
ns2.cafe24.co.kr
ns2.cafe24.com

SERVER OPERATING SYSTEM

I detected that bongjunkim.com is employing the nginx server.

PAGE TITLE

Bongjun Kim CS AudioMusic

DESCRIPTION

Interactive Machine Learning Audio Signal Processing HCI. In the Department of Electrical Engineering and. He is also a. Segal Design Cluster Fellow. He received his B.S. and M.S. in Industrial and Information Systems Engineering from Ajou University. And MS. in Culture Technology from Korea Advanced Institute of Science and Technology KAIST. His current research interests include. Machine learning, audiomusic signal. He also enjoys working on. A musical interface and interactive media art.

CONTENT

This site has the following on the site, "Interactive Machine Learning Audio Signal Processing HCI." Our analyzers noticed that the web site also said " In the Department of Electrical Engineering and." The Website also stated " in Industrial and Information Systems Engineering from Ajou University. in Culture Technology from Korea Advanced Institute of Science and Technology KAIST. His current research interests include. Machine learning, audiomusic signal. He also enjoys working on. A musical interface and interactive media art."

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