Assefaw Hadish Gebremedhin

Orcid: 0000-0001-5383-8032

Affiliations:
  • Washington State University, Pullman, WA, USA


According to our database1, Assefaw Hadish Gebremedhin authored at least 65 papers between 2000 and 2022.

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Bibliography

2022
MPC-Based Decentralized Voltage Control in Power Distribution Systems With EV and PV Coordination.
IEEE Trans. Smart Grid, 2022

Lucid dreaming for experience replay: refreshing past states with the current policy.
Neural Comput. Appl., 2022

Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis.
ACM J. Exp. Algorithmics, 2022

Cast to Vote: A Socio-technical Network Analysis of an Election Smartphone Application.
Digit. Gov. Res. Pract., 2022

NWHy: A Framework for Hypergraph Analytics: Representations, Data structures, and Algorithms.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
An Adaptive Machine Learning Framework for Behind-the-Meter Load/PV Disaggregation.
IEEE Trans. Ind. Informatics, 2021

Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer.
Proceedings of the IEEE International Conference on Communications, 2021

Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020
An introduction to algorithmic differentiation.
WIREs Data Mining Knowl. Discov., 2020

A Signal-Level Transfer Learning Framework for Autonomous Reconfiguration of Wearable Systems.
IEEE Trans. Mob. Comput., 2020

Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation.
Sensors, 2020

Efficient Computation of High-Order Line Graphs of Hypergraphs.
CoRR, 2020

Direction-optimizing label propagation and its application to community detection.
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020

2019
Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction.
IEEE Trans. Knowl. Data Eng., 2019

Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Distributed Direction-Optimizing Label Propagation for Community Detection.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2018
Evaluation of native and transfer students' success in a computer science course.
Inroads, 2018

A nearest-neighbors network model for sequence data reveals new insight into genotype distribution of a pathogen.
BMC Bioinform., 2018

MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems.
Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

Introduction to GraML 2018.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Network Similarity Prediction in Time-Evolving Graphs: A Machine Learning Approach.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Distributed Louvain Algorithm for Graph Community Detection.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Scalable Distributed Memory Community Detection Using Vite.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Multi-metric Graph Query Performance Prediction.
Proceedings of the Database Systems for Advanced Applications, 2018

A Network Science Approach for Determining the Ancestral Phylum of Bacteria.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Algorithms for Balanced Graph Colorings with Applications in Parallel Computing.
IEEE Trans. Parallel Distributed Syst., 2017

Performance Prediction for Graph Queries.
Proceedings of the 2nd International Workshop on Network Data Analytics, 2017

A closed-loop deep learning architecture for robust activity recognition using wearable sensors.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Co-MEAL: Cost-Optimal Multi-Expert Active Learning Architecture for Mobile Health Monitoring.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Capitalizing on <i>live</i> variables: new algorithms for efficient Hessian computation via automatic differentiation.
Math. Program. Comput., 2016

One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental.
Proceedings of the 45th International Conference on Parallel Processing, 2016

Parallelization of Bin Packing on Multicore Systems.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

Transfer learning algorithms for autonomous reconfiguration of wearable systems.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Parallel Maximum Clique Algorithms with Applications to Network Analysis.
SIAM J. Sci. Comput., 2015

Fast Algorithms for the Maximum Clique Problem on Massive Graphs with Applications to Overlapping Community Detection.
Internet Math., 2015

Balanced Coloring for Parallel Computing Applications.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014
Fast maximum clique algorithms for large graphs.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
ColPack: Software for graph coloring and related problems in scientific computing.
ACM Trans. Math. Softw., 2013

A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components
CoRR, 2013

Fast Algorithms for the Maximum Clique Problem on Massive Sparse Graphs.
Proceedings of the Algorithms and Models for the Web Graph - 10th International Workshop, 2013

2012
Graph coloring algorithms for multi-core and massively multithreaded architectures.
Parallel Comput., 2012

What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks
CoRR, 2012

Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures
CoRR, 2012

2011
Sparse Jacobian Computation Using ADIC2 and ColPack.
Proceedings of the International Conference on Computational Science, 2011

Distributed-Memory Parallel Algorithms for Matching and Coloring.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

New Multithreaded Ordering and Coloring Algorithms for Multicore Architectures.
Proceedings of the Euro-Par 2011 Parallel Processing - 17th International Conference, 2011

2010
Distributed-Memory Parallel Algorithms for Distance-2 Coloring and Related Problems in Derivative Computation.
SIAM J. Sci. Comput., 2010

2009
Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation.
INFORMS J. Comput., 2009

The Enabling Power of Graph Coloring Algorithms in Automatic Differentiation and Parallel Processing.
Proceedings of the Combinatorial Scientific Computing, 01.02. - 06.02.2009, 2009

2008
A framework for scalable greedy coloring on distributed-memory parallel computers.
J. Parallel Distributed Comput., 2008

2007
New Acyclic and Star Coloring Algorithms with Application to Computing Hessians.
SIAM J. Sci. Comput., 2007

2006
PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms.
Nord. J. Comput., 2006

2005
What Color Is Your Jacobian? Graph Coloring for Computing Derivatives.
SIAM Rev., 2005

A Parallel Distance-2 Graph Coloring Algorithm for Distributed Memory Computers.
Proceedings of the High Performance Computing and Communications, 2005

A Scalable Parallel Graph Coloring Algorithm for Distributed Memory Computers.
Proceedings of the Euro-Par 2005, Parallel Processing, 11th International Euro-Par Conference, Lisbon, Portugal, August 30, 2005

2004
Speeding up Parallel Graph Coloring.
Proceedings of the Applied Parallel Computing, 2004

2003
Graph coloring on coarse grained multicomputers.
Discret. Appl. Math., 2003

2002
PRO: A Model for Parallel Resource-Optimal Computation.
Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002

Parallel Distance-k Coloring Algorithms for Numerical Optimization.
Proceedings of the Euro-Par 2002, 2002

2000
Scalable parallel graph coloring algorithms.
Concurr. Pract. Exp., 2000

Graph Coloring on a Coarse Grained Multiprocessor.
Proceedings of the Graph-Theoretic Concepts in Computer Science, 2000


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