msadoghi github.io

Mohammad Sadoghi - ExpoLab

Assistant Professor Purdue. Welcome to Exploratory Systems Lab ExpoLab. At the Computer Science Department at Purdue University. Our mission is to develop a new data science platformreferred to as ExpoDB abstract. Mdash;to enable real-time fusion and exploration of data at Web scale. Related research topics to fulfill this vision are. Real-time OLTP and OLAP Systems e.g., L-Store. Virtualized Modern Hardware FPGAs, GPUs, SSDs in Database Systems on Cloud e.g., FQP. Titled Active17 First In.

OVERVIEW

The site msadoghi.github.io presently has a traffic classification of zero (the lower the more traffic). We have crawled three pages within the web page msadoghi.github.io and found three websites referencing msadoghi.github.io.
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LINKS TO MSADOGHI.GITHUB.IO

Databases UC DAVIS

Will be leading the database group at UC Davis.

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MSADOGHI.GITHUB.IO SERVER

We found that the main root page on msadoghi.github.io took three hundred and sixty-seven milliseconds to come up. Our web crawlers identified a SSL certificate, so in conclusion our crawlers consider this site secure.
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151.101.40.133

FAVICON

SERVER SOFTWARE

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SITE TITLE

Mohammad Sadoghi - ExpoLab

DESCRIPTION

Assistant Professor Purdue. Welcome to Exploratory Systems Lab ExpoLab. At the Computer Science Department at Purdue University. Our mission is to develop a new data science platformreferred to as ExpoDB abstract. Mdash;to enable real-time fusion and exploration of data at Web scale. Related research topics to fulfill this vision are. Real-time OLTP and OLAP Systems e.g., L-Store. Virtualized Modern Hardware FPGAs, GPUs, SSDs in Database Systems on Cloud e.g., FQP. Titled Active17 First In.

PARSED CONTENT

The site had the following in the web page, "Welcome to Exploratory Systems Lab ExpoLab." I observed that the web site stated " At the Computer Science Department at Purdue University." They also stated " Our mission is to develop a new data science platformreferred to as ExpoDB abstract. Mdash;to enable real-time fusion and exploration of data at Web scale. Related research topics to fulfill this vision are. Real-time OLTP and OLAP Systems e. Virtualized Modern Hardware FPGAs, GPUs, SSDs in Database Systems on Cloud e. Titled Active17 First In."

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