Courses

Graduate level courses
Spring 2021, CS5010 Programming and Systems for Data Science

Fall 2020, EGNR 599/CSCI-B649 High Performance Big Data Systems Course

Spring 2020, EGNR 599/CSCI-B649 High Performance Big Data Systems Course
Fall 2019, EGNR 599/CSCI-B649 High Performance Big Data Systems Course
Spring 2019, EGNR 599/CSCI-B649 High Performance Big Data Systems Course
Fall 2018, EGNR 599 High Performance Big Data Systems Course
Spring 2017, CSCI-B649/EGNR 599 Cloud Computing Residential/Online Course
Fall 2016, CSCI-B534/EGNR 599 Distributed Systems
Spring 2016, CSCI-B649 Cloud Computing Residential/Online Course 

Spring 2015, CSCI-B649 Cloud Computing Online Course

Spring 2015, CSCI-B649 Topics on Systems: Cloud Computing for Data Intensive Sciences

Spring 2014, CSCI-B649 Cloud Computing Online Course

Spring 2014, CSCI-B649 Topics on Systems: Cloud Computing for Data Intensive Sciences

Fall 2012, CSCI-B534 Distributed Systems

Spring 2012, CSCI-B534 Distributed Systems

Fall 2011, CSCI-B649 Topics on Systems: Cloud Computing for Data Intensive Sciences

Spring 2011, CSCI-B534/CSCI-B490 Distributed Systems

Fall 2010, CSCI-B649 Topics on Systems: Cloud Computing for Data Intensive Sciences

Undergraduate level courses

Fall 2014, CSCI-P434 Distributed Systems 

Fall 2013, CSCI-P434 Distributed Systems 

Spring 2013, CSCI-C343  Data Structure

Teaching

Students Supervision

She links her research to education with new courses Cloud computing and Distributed Systems and has mentored over 820 graduate and undergraduate students in the School of Informatics and Computing. She has been an advisor to 8 Ph.D. students, two of whom graduated, and served on the research committee of 28 Ph.D. students. She supervised 48 Ph.D. and Master’s students for independent study course. She provided over 80 recommendation or reference letters for student applications of advanced study or career. She is committed to involving students from under-represented communities and in work with Minority Serving Institutions where she has hosted 27 HBCU STEM students in the SALSA laboratory. In addition, she supervised 6 IU undergraduate students for research. She organized the weeklong NCSA Big Data for Science workshop 2010, which was offered to over 300 graduate students from 10 universities across the nation. She received a Google Award to develop a new online course on Cloud Computing that combines Google’s course builder techniques with Cloud platforms as part of the Data Science program at Indiana University.

Current Students

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Selahattin Akkas
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RESUME
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Jiayu Li
LINKEDIN
RESUME
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Miao Jiang
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RESUME
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Yining Wang
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RESUME

Alumni

As Adviser of PhD Research Committee

 

  •     Udayanga Wickramasinghe (2018)

  •     Qian Luo (2018)

  •     Jiang Miao (2018)

  •     Pulasthi Supun Wickramasinghe (2017)

  •     Zong Peng (2017)

  •     Luyi Xing (2017)

  •     Lei Wang (2016)

  •     Quan Zhou(2016)

  •     Jesun Saharia Firoz (2015)

  •     Saliya Ekanayake (2015)

  •     Daniel Kogler (2015)

  •     Yongan Zhao (2015)

  •     Andrew Younge (2014)

  •     Yuan Luo (2014)

  •     Yangyi Chen (2014)

  •     Isuru Suriarachchi (2014)

  •     Milinda Pathirage (2014)

  •     Miao Zhang (2013)

  •     Supun Madhushanka Kamburugamuve (2013)

  •     Sumayah Alrwais (2013)

  •     Jerome Mitchell (2013)

  •     Zhenghua Guo (2012)

  •     Jiaan Zeng (2012)

  •     Hui Li (2012)

  •     Yuan Luo (2012)

  •     Thilina Gunarathne (2011)

  •     Tak-Lon Wu (2011)

  •     Yuan Yang (2011)

Contact Information

School of Data Science 

Office:

Tel (434)297-5916

ckw9mp@virginia.edu

Dell Building 1

31 Bonnycastle Drive

P.O. Box 400249

Charlottesville, IN 22904

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