CV

Research Summary

A researcher focused on interdisciplinary systems for Data Science, Machine Learning, and IoT on Cloud and HPC platforms.

Key Contributions

• Developed Iterative MapReduce (Twister runtime: 1273 citations) with Harp framework extension
• Advanced collective communication models for parallel machine learning
• Researched privacy-preserving computations using Intel SGX
• Real-time data analytics applications, including IndyCar performance prediction
• Current h-index: 27 with 4417 citations (as of August 2023)

Funded Research Projects

Total funding of $3.97M across 23 projects since 2009.

Notable Projects

• COVID-19 Time Series Models: NSF project on Transformer-based analysis
• HySec-Flow Framework: Privacy-preserving genomic computing ($1M)
• CINES Platform: Scalable cyberinfrastructure ($500K)
• Global Pervasive Computational Epidemiology ($375K)

Publications

Books

• Distributed and Cloud Computing (Morgan Kaufmann) - “Best Scholarly Title”
• Cloud Computing for Data-Intensive Applications (Springer, 2014)

Research Output

• 90+ peer-reviewed journal, conference, and workshop papers
• Most cited paper: “Twister: A Runtime for Iterative MapReduce” (2010, 1273 citations)

Significant Software

• Harp Framework: High-performance collective communication for ML
• Twister (2010): Iterative MapReduce runtime
• IndexedHBase (2014): Scalable NoSQL database indexing
• HySec-Flow: Secure genomic data framework
• IndyCar Analytics (2019): Real-time race predictions

Teaching and Mentoring

University of Virginia

• Director of Ph.D. Program (2021-2022)
• Created Data Science PhD program
• Currently mentoring 4 PhD, 1 MS, 11 undergraduate students

Indiana University

• Director of Graduate Studies for Data Science (2019-2020)
• Developed residential and online MS programs

Honors and Awards

• NSF CAREER Award (2012-2017)
• Indiana University Outstanding Junior Faculty Award (2014-2015)
• Indiana University Trustees Award for Teaching Excellence (2013-2014)
• Keynote Speaker at SC17 and SC22

Professional Service

• Program Chair: IEEE Cloud Computing (2023)
• Editorial Board Member: International Journal of Cloud Computing
• Member: ACM SIGHPC and Intel’s oneAPI Technical Advisory Board
• Workshop Organizer: STREAM-ML at IEEE Big Data (2019), BDEC2 (2018)