- LDRD Seed: Exploration of Domain Aware Machine Learning for Grid
Analytics (FY’19 – FY’20)
- LDRD Seed: Towards Automated Vulnerability and Mitigation of
Critical Infrastructure (FY’18)
- NSD LDRD: Cyber-based Contingency Analysis of Interdependent
Infrastructure Networks under Uncertainty (FY’2019 to FY’2020)
- MinT-Net: Novel and Scalable Network-enabled Comparative Tools for
Stress Studies of Microbiomes in Transition (FY’2017)
- Rendezvous: Optimization and Stochastic Algorithms for Asymmetric
Resilient Infrastructure (FY’2015 to FY’2017)
- Concurrent Design and Control of Complex Systems: Controllability,
Observability and Performance Metrics (FY’2017 to FY’2018)
- Resilience in Large-Scale Distributed Control Systems (FY’2015 to
FY’2018)
- LDRD Seed: Scaling Multisubject Cortical Parcellation (FY’2016)
- M&Ms4Graphs: A Multi-scale, Multi-Dimensional Graph Analytics
Framework for Cyber Security (FY’2013 to FY’2016)
- Shyre: Streaming Hypothesis Reasoning (FY’2014 to FY’2015)
- Theory of Resilience (FY’2014 to FY’2015)
- Future Power Grid Control Paradigm (FY’2012 to FY’2015)
- Linear Algebra Solvers and Associated Matrix-Vector Kernels for
Power Grid Simulations (FY’2010 to FY’2015)
- Comparing Performance on Different High-Performance Computing
Architectures (FY’2010)
Awards:
- Best
Conference
Papers on Power System Modeling and Analysis submitted to the 2018
Power & Energy Society General Meeting. “Synthetic Power Grids
from Real World Models.” IEEE Power & Energy Society (PES)
General Meeting. August 5 - 9, 2018, Portland, OR
- MIT/Amazon
Graph
Challenge Champions. "TriC:
Distributed-memory Triangle Counting by Exploiting the Graph
Structure." IEEE High Performance Extreme Computing Conference
(HPEC), Virtual, 22-24 Sept. 2020
- DARPA/Amazon
Graph
Challenge Champions. "Scalable static and dynamic community
detection using Grappolo." IEEE High Performance Extreme
Computing Conference (HPEC), Waltham, MA, 2017
- Amazon
Graph
Challenge Student Innovation Award. "Scalable Community Detection
Using Vite." IEEE High Performance Extreme Computing Conference
(HPEC), Waltham, MA, 2018
- Best
paper
award in the Attack and Disaster track. "
Quantitative
Assessment of Transportation Network Vulnerability with Dynamic
Traffic Simulation Methods." IEEE Conference on Technologies for
Homeland Security, Waltham, MA, 25 – 26 April, 2017
- Best
paper
award. “On Stable Marriages and Greedy Matchings,” Society for
Industrial and Applied Mathematics (SIAM) Workshop on
Combinatorial Scientific Computing. Albuquerque, New Mexico.
10 – 12 October, 2016
- Best
paper
award in the Cyber Security track. "Quantifying Mixed Uncertainties
in Cyber Attacker Payoffs." IEEE Conference on Technologies for
Homeland Security, Waltham, MA, 14 – 16 April, 2015
- Best
paper
award in the Cyber Security track. "Towards A Theory of Autonomous
Reconstitution of Compromised Cyber-Systems." IEEE Conference on
Technologies for Homeland Security, Waltham, MA, 12 – 14 Nov,
2013
- Amazon
Graph
Challenge Innovation Award. “Scaling and Quality of Modularity
Optimization Methods for Graph Clustering.” IEEE High
Performance Extreme Computing Conference (HPEC), Waltham, MA,
2019
- Amazon
Graph
Challenge Innovation Award. “Direction-Optimizing Label Propagation
Algorithm.” IEEE High Performance Extreme Computing Conference
(HPEC), Waltham, MA, 2019
- Society
for
Risk Analysis (SRA) Best Poster Award. “Cyber-Based Interdependent
Infrastructure Network Resilience Analysis.” 2019
- Old
Dominion
University's Office of Graduate Studies University Graduate
Fellowships, valued at $20,000 for the 2005-2006 academic year
Short
Bio:
Dr.
Halappanavar
is a computer scientist at the Pacific Northwest National
Laboratory. He serves as the acting Group Leader of the Data Sciences
and Machine Intelligence Group, and holds a joint appointment as
Research Associate Professor in the School of Electrical Engineering
& Computer Science, Washington State University in Pullman,
Washington.
His research has spanned multiple technical foci and includes
combinatorial scientific computing, parallel graph algorithms, machine
learning, and application of graph theory and game theory to solve
problems in application domains such as scientific computing, power
grids, cybersecurity, and life sciences. He co-authored a book on
design of parallel graph algorithms on shared-memory architectures and
has authored 85 technical publications for peer-reviewed journals,
conferences, and workshops. He is a Senior Member of the Association
for Computing Machinery, Senior Member of the Institute of Electrical
and Electronics Engineers, and member
of
the Society for Industrial and Applied Mathematics.
Erdös number:
My Erdös number is 3:
Halappanavar --> Manne --> Hedetniemi --> Erdös
- Langguth, Johannes; Azad,
Ariful; Halappanavar, Mahantesh; Manne,
Fredrik. "On Parallel Push-Relabel Algorithms for Bipartite Maximum
Matching." Elsevier Journal of Parallel Computing: Systems and
Applications. 40, 7 (July 2014), 289 -- 308.
- Blair, Jean; Goddard, Wayne;
Hedetniemi, Sandra M.; Hedetniemi, Stephen T.; Manne,
Fredrik; Rall, Douglas. "Emergency response sets in graphs." J.
Combin. Math. and Combin. Comput. 68 (2009), 225 -- 243.
- Erdös, P.;
Hare, W. R.; Hedetniemi, S. T.; Laskar, R. "On the
equality of the Grundy and chromatic numbers of a graph." J. Graph
Theory 11 (1987), no. 2, 157 -- 159.
Source: American
Mathematical Society MathSciNet.
Genealogy:
Source: Mathematics
Genealogy Project