I am an Assistant Professor in the Department of Computer Science in the Whiting School of Engineering at the Johns Hopkins University. Also, I am a member of The Institute for Data Intensive Engineering and Science (IDIES) and a member of Executive Committee of The Johns Hopkins Mathematical Institute for Data Science (MINDS). I graduated from UCLA where I was advised by Prof. Rafail Ostrovsky . Before that, I was leading the research group at HyperRoll .

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News:

• Congratulations to Lin Forrest Yang for successfully defending his thesis!
• NSF CAREER 2017
• Processing Big Data Streams, Shonan Village Center, Japan, 2017
• IDIES Seed Funding 2016
• Google Faculty Award 2014

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Research Interests:

Streaming and sketching algorithms, sub-linear algorithms and their applications to data science, software defined networks, cosmology, and machine learning.

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Teaching:

Spring 2018: Introduction to Algorithms/Algorithms 1 (601.433/633).

Fall 2017: Randomized and Big Data Algorithms (601.464/664).

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Students and Postdocs:

I have been fortunate to advise the following great researchers.

Postdocs:

• Jalaj Upadhyay , co-advised with Raman Arora
  

Current Ph.D. Students:

• Nikita Ivkin
  
• Harry Lang
  
• Zaoxing (Alan) Liu
  

Former Ph.D. Students:

• Stephen Chestnut (Applied Math Ph.D., co-advised with Rico Zenklusen), first employment: postdoc at ETH Zurich

• Gregory Vorsanger , currently at HealthVerity
  

• Lin (Forrest) Yang (co-advised with Alex Szalay) currently a postdoc with Mengdi Wang.
  

Undergraduate Students:

• Jonathan Katzman

• Charles Seidell

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Publications:

DBLP Google Scholar

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Projects:

Clustering of Massive Datasets and Applications

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Service:

• Program Committee, LATIN 2018, SODA 2018, FOCS 2017, MASSIVE 2016, COCOON 2015
• Associate Editor, Journal of Computer and System Sciences (JCSS)
• Co-organizer of Capital Theory Day, Baltimore, MD, 2016
• Co-organizer of Sublinear Algorithms Workshop, Baltimore, MD, 2016
• Co-organizer of Processing Big Data Streams, Shonan Village Center, Japan, 2017

Funding:

• My research is supported in part by National Science Foundation, Google , DARPA , Cisco , Nvidia , and IDIES