Portrait I am Kasimir Gabert, a PhD candidate in the Translational Data Analytics Lab at Georgia Tech, advised by Prof. Ümit V. Çatalyürek, and a Senior Member of Technical Staff at Sandia National Laboratories.

I participated in the Sandia Doctoral Studies Program fellowship. I received my Master’s in Computer Science from Georgia Tech in 2013 and my Bachelor’s in Computer Science and Mathematics from New Mexico Tech in 2011.

My research interests lie in high-performance large-scale graph analysis. Previously I worked on emulation-based modeling of computer systems.


Peer reviewed conferences, competitions, and workshops:

  1. Gabert, Sancak, Özkaya, Pınar, Çatalyürek, ElGA: Elastic and Scalable Dynamic Graph Analysis, ACM/IEEE SC, Nov 2021.
  2. Gabert, Çatalyürek, PIGO: A Parallel Graph Input/Output Library, IEEE IPDPSW GrAPL, May 2021.
  3. Gabert, Pınar, Çatalyürek, Shared-Memory Scalable k-Core Maintenance on Dynamic Graphs and Hypergraphs, IEEE IPDPSW ParSocial, May 2021.
  4. Gabert, Pınar, Çatalyürek, A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores, ACM WSDM (18.6% acceptance), March 2021.
  5. An*, Gabert*, et al., Skip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems, IEEE HPEC, September 2019.
  6. Fox, Green, Gabert, et al., Fast and Adaptive List Intersections on the GPU, IEEE HPEC GraphChallenge, September 2018.
  7. Green, et al., Logarithmic Radix Binning and Vectorized Triangle Counting, IEEE HPEC GraphChallenge, September 2018.

Journal articles:

  1. Gabert, Wang, Non-autonomous attractors for singularly perturbed parabolic equations on $\mathbb{R}^n$, Nonlinear Analysis TMA, November 2010.



  1. Gabert, Çatalyürek, PIGO: a Parallel Graph Input and Output library, 2021.
  2. Gabert, Kowalski, TorStatus, 2007-2008.


Technical reports:

  1. Frank, Cordi, Gabert, et al., The GABLE Report: Garbled Autonomous Bots Leveraging Ethereum, Sandia Report SAND2020-5413, May 2020.
  2. Jones, Gabert, Tarman, Evaluating Emulation-based Models of Distributed Computing Systems, Sandia Report SAND2017-10634, August 2017.
  3. Gabert, Burns, et al., Staghorn: An Automated Large-Scale Distributed System Analysis Platform, Sandia Report SAND2016-9616, September 2016.
  4. Edgett, Gabert, et al., Exploration of Cloud Computing: Raincoat v. 2.1, Sandia Report SAND2010-6339, September 2010.


  1. Gabert, Emulytics at Sandia: Emulation-based Modeling and Analysis of Computer Systems, Georgia Tech IISP Cybersecurity Lecture Series, September 14th, 2018.
  2. Stickland, Gabert, Jacobellis, In Situ Training Environment for Autonomous Cyber SAND2017-8470C, 2017.
  3. Gabert, Cybersecurity Models, SAND2016-5882C, June 2016.
  4. Gabert, Vail, et al., Firewheel-A Platform for Cyber Analysis, SAND2015-10324PE, December 2015.


  1. Gabert, Pınar, Çatalyürek, Finding Dense Areas of Massive Changing Graphs, Georgia Tech @ SC20, November 2020. [Best Poster Runner-Up.]
  2. Gabert, Pınar, Extracting Stable Community Information on Relational Data, Conference on Data Analysis (CoDA), February 2020.
  3. Gabert, An, Bader, Below O(n): Induced Motif Counting in Sublinear Time, CSE SPP Summit, May 2019.
  4. Gabert, Bader, Improving the Protection of Special Events Using Graph Analytics, DHS COE Summit, June 2018.
  5. Slawinska, Zhang, Gabert, Laub, Lightweight Monitoring Solutions for High-End Clusters and its Applications, I/UCRC CERCS Advisory Board Meeting, April 2013.


Email: kasimir@gatech.edu, kggaber@sandia.gov.
Georgia Tech office: Coda Building, S1347.
Social: Twitter, LinkedIn, Keybase.
PGP fingerprint: 486D 9F58 873E 4CFD.