I direct the Data-Intensive Analysis and
Computing (DIAC) Lab in
the Ohio Center of Excellence in Knowledge-Enabled Computing (the Kno.e.sis
Center) at Wright State University since 2008. I got my
Ph.D. degree in Computer Science from the College
of Computing, Georgia Tech, in 2006. During 2006-2008, I was a senior scientist at Yahoo! Labs.
I am looking for highly motivated students who are interested in data-intensive distributed computing, big data analytics, security and privacy.
- To appear in ICWSM19, "Who should be the captain this week? Leveraging inferred diversity-enhanced crowd wisdom for a Fantasy Premier League prediction task" by
Shreyansh Bhatt, Keke Chen, Valerie L. Shalin, Amit Sheth, Brandon Minnery. This is a collaborative work on optimizing the crowd composition to achieve the wisdom of crowd without the crowd's prior performance data.
- I am co-chairing BigData Congress 2019. Welcome to submit papers. The deadline is March 22, 2019 for all tracks.
- Serving on the editorial board of ACM Transactions on Internet Technology (TOIT), starting in 2019
- "Knowledge graph enhanced community detection and characterization" to appear in ACM Web Search and Data Mining (WSDM) 2019, by Shreyansh Bhatt, Swati Padhee, Keke Chen, Valerie Shalin, Derek Doran, Amit Sheth and Brandon Minnery.
- Two posters about privacy-preserving deep learning and boosting in ACM CCS 2018, both led by Sagar Sharma.
- Sagar Sharma, James Powers, and Keke Chen "PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud ", IEEE TKDE, 2018. It includes a comparative study on two provably secure solutions (Ring-LWE vs. Additive HE + novel data obscuration methods) for graph spectral analysis in the cloud, where encrypted graphs are possibly contributed by millions of users.
- A review about the issues with privacy-preserving data analytics for IoT/Cloud based healthcare systems, by Sagar Sharma, Keke Chen, and Amit Sheth, to appear in IEEE Internet Computing, 2018.