Graduated PhD students

• Xi Yang, 2019, advised with Steve Blackburn, IOP Systems (2023)
  SHIM and Its Applications
  

• Ivan Jibaja, 2016, advised with Steve Blackburn, Pure Storage, (2016)
  Exploiting Hardware Heterogeneity and Parallelism for Performance and Energy Efficiency of Managed Languages
  

• Rifat Shahriyar, 2015, advised with Steve Blackburn, Assistant Professor, Bangladesh University of Engineering and Technology.
  High Performance Reference Counting and Conservative Garbage Collection
  

• Na Meng, 2015, advised with Miryung Kim, Associate Professor, Virginia Tech (2023)
  Systematic Editing
  

• Sooel Son, 2014, advised with Vitaly Shmatikov, KAIST (2023)
  Toward Better Server-Side Web Security
  

• Ting Cao, 2016, advised with Steve Blackburn, Microsoft Research, (2023)
  Power, Performance, and Upheaval: An Opportunity for Managed Languages
  

• Katherine Coons, 2013, Facebook (2023)
  Fast Error Detection with Coverage Guarantees for Concurrent Software
  

• Byeongcheol Lee, 2010, Assistant Professor GIST, Korea (2014)
  Exploiting Language Abstraction to Optimize Memory Efficiency
  

• Behnam Robatmili, 2011, advised with Doug Burger, Qualcomm (2014)
  Efficient Execution of Sequential Applications on Multicore System
  

• Jennifer Sartor, 2010, advised with Steve Blackburn, Research Scientist, Ghent University (2014)
  Exploiting Language Abstraction to Optimize Memory Efficiency
  

• Bertrand Maher, 2010, advised with Doug Burger, Facebook (2023)
  Atomic Block Formation for Explicit Data Graph Execution Architectures
  

• Suriya Subramanian, 2010, Google (2023)
  Dynamic Software Updates: A VM-centric Approach.
  

• John (Jungwoo) Ha, 2009, Bear Robotics, Founder CEO (2023)
  Scaling Managed Runtime Systems for Future Multicore Hardware.
  

• Maria Jump, 2009, Google, (2023)
  Discovering Heap Anomalies in the Wild.
  

• Michael Bond, 2008, Professor, Ohio State University (2023)
  Diagnosing and Tolerating Bugs in Deployed Systems. ACM SIGPLAN Outstanding Doctoral Dissertation Award

• Xianglong Huang, 2006, Amazon (2023)
  Dynamically Improving Program Locality on-the-Fly. Ph.D. Dissertation, The University of Texas at Austin.

• Zhenlin Wang, 2004, Professor, Michigan Technological University (2023)
  Cooperative Hardware/Software Caching for Next-Generation Memory Systems Ph.D. Dissertation, University of Massachusetts.

• Brendon Cahoon, 2002, Qualcomm (2014)
  Effective Compile-Time Analysis for Data Prefetching in Java, Ph.D. Dissertation, University of Massachusetts.

• Emery Berger, 2002, Professor, University of Massachusetts (2023)
  Memory Management for High-Performance Applications, Ph.D. Dissertation, University of Texas at Austin.

• Sharad Singhai, 2002, LinkedIn (2023)
  Data Reorganization for Improving Cache Performance of Object-Oriented Programs, PhD Dissertation, University of Massachusetts.

• Zhihong Lu, 1999, AT&T (2009)
  Scalable Distributed Architectures For Information Retrieval, PhD Dissertation, University of Massachusetts.

• Darko Stefanovic, 1999, advised by Eliot Moss (unofficial co-advisor), Professor, University of New Mexico (2023)
  Properties of Age-Based Automatic Memory Reclamation Algorithms, PhD Dissertation, University of Massachusetts.

• Amer Diwan, 1996, advised by Eliot Moss (unofficial co-advisor), Google (2023)
  Understanding and Improving the Performance of Modern Programming Languages, PhD Dissertation, University of Massachusetts.

• Chandrakana Nandi, University of Washington, Seattle, 2016
• Minjia Zhang, Ohio State University, 2015, 2016
• Aritra Sengupta, Ohio State University, 2016
• Aniket Chakrabarti, Ohio State University, 2016
• Xiaoqi Ren, California Institute of Technology, 2016
• Arpan Bharat Gujarati, Max Planck Institute for Software Systems, 2015
• Ming Liu, University of Washington, Seattle, 2015
• Diman Zad Tootaghaj, University of Pittsburgh, 2015
• Yong He, CMU, 2015
• Minjia Zhang, Ohio State University, 2015
• Jing Li, Washington University, St. Louis, 2014
• Md Ehtesamul Haque , Rutgers University, 2014
• Adrian Sampson, University of Washington, Seattle, 2013
• Yong Hun Eom, University of California, Irvine, 2013
• Xi Yang, Australian National University, 2013
• Youngjoon Jo, Purdue University, 2012
• James Bornholt, Australian National University, 2011-2014

Postdoctoral Scholars

• Katie Coons, Microsoft Research PhD Fellowship, 2009--2011
• Michael Bond, ACM SIGPLAN Outstanding Doctoral Dissertation Award, 2008
• Maria Jump, Intel Graduate Student Fellowship 2007--2009
• Katie Coons, NSF Graduate Research Fellowship, 2006--2009
• Byeongcheol Lee, Samsung Scholarship, 2006--2010
• Jennifer Sartor, ACM Student Research Competition, first place in poster and presentation round at PLDI 2009 for "Arraylets for the Masses"
• Katie Coons, Best Presentation Award at MICRO 2008 for "Strategies for Mapping Dataflow Blocks to Distributed Hardware"
• Jennifer Sartor, Best Presentation Award at ISMM 2008 for "No Bit Left Behind: The Limits of Heap Data Compression"
• Suriya Subramanian, Honorable mention, Outstanding Teaching Assistant in Computer Sciences, 2008
• Michael Bond, Intel Graduate Student Fellowship 2006--2008
• Stephen Kent, Honorable Mention, CRA Undergraduate Research Award Competition 2008
• Eunjin Jung, UT William S. Livingston Outstanding Graduate Student Employee Award, 2006.
• Byeongcheol Lee, IT Scholarship, The Korean Ministry of Information and Communication, 2004--2006
• Eunjin Jung, UT Computer Sciences Outstanding Teaching Assistant Excellence Award, 2006.
• Jennifer Sartor, UT Computer Sciences Outstanding Teaching Assistant Excellence Award, 2003.
• Emery Berger, Microsoft Research Fellowship 2001--2002