Graph Coloring on a Coarse Grained Multiprocessor. - Assefaw Hadish Gebremedhin; Isabelle Guérin Lassous; Jens Gustedt; Jan Arne Telle (WG, 2000)

Scalable parallel graph coloring algorithms. - Assefaw Hadish Gebremedhin; Fredrik Manne (Concurr. Pract. Exp., 2000)

Parallel Distance-k Coloring Algorithms for Numerical Optimization. - Assefaw Hadish Gebremedhin; Fredrik Manne; Alex Pothen (Euro-Par, 2002)

PRO: A Model for Parallel Resource-Optimal Computation. - Assefaw Hadish Gebremedhin; Isabelle Guérin Lassous; Jens Gustedt; Jan Arne Telle (HPCS, 2002)

Graph coloring on coarse grained multicomputers. - Assefaw Hadish Gebremedhin; Isabelle Guérin Lassous; Jens Gustedt; Jan Arne Telle (Discret. Appl. Math., 2003)

Speeding up Parallel Graph Coloring. - Assefaw Hadish Gebremedhin; Fredrik Manne; Tom Woods (PARA, 2004)

A Scalable Parallel Graph Coloring Algorithm for Distributed Memory Computers. - Erik G. Boman; Doruk Bozdag; Ümit V. Çatalyürek; Assefaw Hadish Gebremedhin; Fredrik Manne (Euro-Par, 2005)

A Parallel Distance-2 Graph Coloring Algorithm for Distributed Memory Computers. - Doruk Bozdag; Ümit V. Çatalyürek; Assefaw Hadish Gebremedhin; Fredrik Manne; Erik G. Boman; Füsun Özgüner (HPCC, 2005)

What Color Is Your Jacobian? Graph Coloring for Computing Derivatives. - Assefaw Hadish Gebremedhin; Fredrik Manne; Alex Pothen (SIAM Rev., 2005)

PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms. - Assefaw Hadish Gebremedhin; Mohamed Essaïdi; Isabelle Guérin Lassous; Jens Gustedt; Jan Arne Telle (Nord. J. Comput., 2006)

New Acyclic and Star Coloring Algorithms with Application to Computing Hessians. - Assefaw Hadish Gebremedhin; Arijit Tarafdar; Fredrik Manne; Alex Pothen (SIAM J. Sci. Comput., 2007)

A framework for scalable greedy coloring on distributed-memory parallel computers. - Doruk Bozdag; Assefaw Hadish Gebremedhin; Fredrik Manne; Erik G. Boman; Ümit V. Çatalyürek (J. Parallel Distributed Comput., 2008)

The Enabling Power of Graph Coloring Algorithms in Automatic Differentiation and Parallel Processing. - Assefaw Hadish Gebremedhin (Combinatorial Scientific Computing, 2009)

Efficient Computation of Sparse Hessians Using Coloring and Automatic Differentiation. - Assefaw Hadish Gebremedhin; Arijit Tarafdar; Alex Pothen; Andrea Walther (INFORMS J. Comput., 2009)

Distributed-Memory Parallel Algorithms for Distance-2 Coloring and Related Problems in Derivative Computation. - Doruk Bozdag; Ümit V. Çatalyürek; Assefaw H. Gebremedhin; Fredrik Manne; Erik G. Boman; Füsun Özgüner (SIAM J. Sci. Comput., 2010)

New Multithreaded Ordering and Coloring Algorithms for Multicore Architectures. - Md. Mostofa Ali Patwary; Assefaw Hadish Gebremedhin; Alex Pothen (Euro-Par (2), 2011)

Distributed-Memory Parallel Algorithms for Matching and Coloring. - Ümit V. Çatalyürek; Florin Dobrian; Assefaw Hadish Gebremedhin; Mahantesh Halappanavar; Alex Pothen (IPDPS Workshops, 2011)

Sparse Jacobian Computation Using ADIC2 and ColPack. - Sri Hari Krishna Narayanan; Boyana Norris; Paul D. Hovland; Duc C. Nguyen; Assefaw Hadish Gebremedhin (ICCS, 2011)

Graph Coloring Algorithms for Muti-core and Massively Multithreaded Architectures - Ümit V. Çatalyürek; John Feo; Assefaw Hadish Gebremedhin; Mahantesh Halappanavar; Alex Pothen (CoRR, 2012)

What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin; Md. Mostofa Ali Patwary (CoRR, 2012)

Graph coloring algorithms for multi-core and massively multithreaded architectures. - Ümit V. Çatalyürek; John Feo; Assefaw Hadish Gebremedhin; Mahantesh Halappanavar; Alex Pothen (Parallel Comput., 2012)

Fast Algorithms for the Maximum Clique Problem on Massive Sparse Graphs. - Bharath Pattabiraman; Md. Mostofa Ali Patwary; Assefaw Hadish Gebremedhin; Wei-keng Liao; Alok N. Choudhary (WAW, 2013)

A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin; Md. Mostofa Ali Patwary (CoRR, 2013)

ColPack: Software for graph coloring and related problems in scientific computing. - Assefaw Hadish Gebremedhin; Duc C. Nguyen; Md. Mostofa Ali Patwary; Alex Pothen (ACM Trans. Math. Softw., 2013)

Fast maximum clique algorithms for large graphs. - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin; Md. Mostofa Ali Patwary (WWW (Companion Volume), 2014)

Balanced Coloring for Parallel Computing Applications. - Hao Lu 001; Mahantesh Halappanavar; Daniel G. Chavarría-Miranda; Assefaw Hadish Gebremedhin; Ananth Kalyanaraman (IPDPS, 2015)

Fast Algorithms for the Maximum Clique Problem on Massive Graphs with Applications to Overlapping Community Detection. - Bharath Pattabiraman; Md. Mostofa Ali Patwary; Assefaw Hadish Gebremedhin; Wei-keng Liao; Alok N. Choudhary (Internet Math., 2015)

Parallel Maximum Clique Algorithms with Applications to Network Analysis. - Ryan A. Rossi; David F. Gleich; Assefaw Hadish Gebremedhin (SIAM J. Sci. Comput., 2015)

Transfer learning algorithms for autonomous reconfiguration of wearable systems. - Ramyar Saeedi; Hassan Ghasemzadeh 001; Assefaw Hadish Gebremedhin (IEEE BigData, 2016)

Parallelization of Bin Packing on Multicore Systems. - Sayan Ghosh; Assefaw Hadish Gebremedhin (HiPC, 2016)

One-Sided Interface for Matrix Operations Using MPI-3 RMA: A Case Study with Elemental. - Sayan Ghosh; Jeff R. Hammond; Antonio J. Peña; Pavan Balaji; Assefaw Hadish Gebremedhin; Barbara M. Chapman (ICPP, 2016)

Capitalizing on live variables: new algorithms for efficient Hessian computation via automatic differentiation. - Mu Wang; Assefaw Hadish Gebremedhin; Alex Pothen (Math. Program. Comput., 2016)

Co-MEAL: Cost-Optimal Multi-Expert Active Learning Architecture for Mobile Health Monitoring. - Ramyar Saeedi; Keyvan Sasani; Assefaw Hadish Gebremedhin (BCB, 2017)

A closed-loop deep learning architecture for robust activity recognition using wearable sensors. - Ramyar Saeedi; Skyler Norgaard; Assefaw Hadish Gebremedhin (IEEE BigData, 2017)

Performance Prediction for Graph Queries. - Mohammad Hossein Namaki; Keyvan Sasani; Yinghui Wu 001; Assefaw Hadish Gebremedhin (NDA@SIGMOD, 2017)

Algorithms for Balanced Graph Colorings with Applications in Parallel Computing. - Hao Lu 001; Mahantesh Halappanavar; Daniel G. Chavarría-Miranda; Assefaw Hadish Gebremedhin; Ajay Panyala; Ananth Kalyanaraman (IEEE Trans. Parallel Distributed Syst., 2017)

A Network Science Approach for Determining the Ancestral Phylum of Bacteria. - Ehdieh Khaledian; Assefaw H. Gebremedhin; Kelly A. Brayton; Shira L. Broschat (BCB, 2018)

Multi-metric Graph Query Performance Prediction. - Keyvan Sasani; Mohammad Hossein Namaki; Yinghui Wu 001; Assefaw Hadish Gebremedhin (DASFAA (1), 2018)

Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach. - Skyler Norgaard; Ramyar Saeedi; Keyvan Sasani; Assefaw H. Gebremedhin (EMBC, 2018)

Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer. - Ramyar Saeedi; Keyvan Sasani; Skyler Norgaard; Assefaw H. Gebremedhin (EMBC, 2018)

Scalable Distributed Memory Community Detection Using Vite. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Assefaw H. Gebremedhin (HPEC, 2018)

Distributed Louvain Algorithm for Graph Community Detection. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Hao Lu 001; Daniel G. Chavarría-Miranda; Arif Khan 005; Assefaw Hadish Gebremedhin (IPDPS, 2018)

Network Similarity Prediction in Time-Evolving Graphs: A Machine Learning Approach. - Keyvan Sasani; Mohammad Hossein Namaki; Assefaw Hadish Gebremedhin (IPDPS Workshops, 2018)

Introduction to GraML 2018. - Antonino Tumeo; Mahantesh Halappanavar; John Feo; Assefaw Hadish Gebremedhin; Abhinav Vishnu (IPDPS Workshops, 2018)

MiniVite: A Graph Analytics Benchmarking Tool for Massively Parallel Systems. - Sayan Ghosh; Mahantesh Halappanavar; Antonino Tumeo; Ananth Kalyanaraman; Assefaw H. Gebremedhin (PMBS@SC, 2018)

A nearest-neighbors network model for sequence data reveals new insight into genotype distribution of a pathogen. - Helen N. Catanese; Kelly A. Brayton; Assefaw H. Gebremedhin (BMC Bioinform., 2018)

Evaluation of native and transfer students' success in a computer science course. - Helen N. Catanese; Carl Hauser; Assefaw Hadish Gebremedhin (Inroads, 2018)

Distributed Direction-Optimizing Label Propagation for Community Detection. - Xu Liu 015; Jesun Sahariar Firoz; Marcin Zalewski; Mahantesh Halappanavar; Kevin J. Barker; Andrew Lumsdaine; Assefaw H. Gebremedhin (HPEC, 2019)

Exploring MPI Communication Models for Graph Applications Using Graph Matching as a Case Study. - Sayan Ghosh; Mahantesh Halappanavar; Ananth Kalyanaraman; Arif Khan 005; Assefaw H. Gebremedhin (IPDPS, 2019)

Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction. - Yunshu Du; Assefaw H. Gebremedhin; Matthew E. Taylor (IEEE Trans. Knowl. Data Eng., 2019)

Direction-optimizing label propagation and its application to community detection. - Xu T. Liu; Mahantesh Halappanavar; Kevin J. Barker; Andrew Lumsdaine; Assefaw H. Gebremedhin (CF, 2020)

Efficient Computation of High-Order Line Graphs of Hypergraphs. - Jesun Firoz; Xu T. Liu; Andrew Lumsdaine; Cliff A. Joslyn; Brenda Praggastis; Assefaw Hadish Gebremedhin (CoRR, 2020)

Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation. - Ramyar Saeedi; Keyvan Sasani; Assefaw H. Gebremedhin (Sensors, 2020)

A Signal-Level Transfer Learning Framework for Autonomous Reconfiguration of Wearable Systems. - Ramyar Saeedi; Assefaw H. Gebremedhin (IEEE Trans. Mob. Comput., 2020)

An introduction to algorithmic differentiation. - Assefaw H. Gebremedhin; Andrea Walther (WIREs Data Mining Knowl. Discov., 2020)

RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA. - Sayan Ghosh; Yanfei Guo; Pavan Balaji; Assefaw H. Gebremedhin (CCGRID, 2021)

Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs. - Xu T. Liu; Jesun Firoz; Andrew Lumsdaine; Cliff A. Joslyn; Sinan Aksoy; Brenda Praggastis; Assefaw H. Gebremedhin (HiPC, 2021)

Reinforcement Learning for Battery Energy Storage Dispatch augmented with Model-based Optimizer. - Gayathri Krishnamoorthy; Anamika Dubey; Assefaw H. Gebremedhin (SmartGridComm, 2021)

An Adaptive Machine Learning Framework for Behind-the-Meter Load/PV Disaggregation. - Ramyar Saeedi; K. Sadanandan Sajan; Anurag K. Srivastava 001; Kevin Davies; Assefaw H. Gebremedhin (IEEE Trans. Ind. Informatics, 2021)

High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis. - Xu T. Liu; Jesun Firoz; Sinan Aksoy; Ilya Amburg; Andrew Lumsdaine; Cliff A. Joslyn; Brenda Praggastis; Assefaw H. Gebremedhin (IPDPS, 2022)

NWHy: A Framework for Hypergraph Analytics: Representations, Data structures, and Algorithms. - Xu T. Liu; Jesun Firoz; Assefaw H. Gebremedhin; Andrew Lumsdaine (IPDPS Workshops, 2022)

Cast to Vote: A Socio-technical Network Analysis of an Election Smartphone Application. - Julia Stachofsky; Assefaw Hadish Gebremedhin; Robert E. Crossler (Digit. Gov. Res. Pract., 2022)

Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis. - Xu T. Liu; Andrew Lumsdaine; Mahantesh Halappanavar; Kevin J. Barker; Assefaw Hadish Gebremedhin (ACM J. Exp. Algorithmics, 2022)

Lucid dreaming for experience replay: refreshing past states with the current policy. - Yunshu Du; Garrett Warnell; Assefaw H. Gebremedhin; Peter Stone 001; Matthew E. Taylor (Neural Comput. Appl., 2022)

MPC-Based Decentralized Voltage Control in Power Distribution Systems With EV and PV Coordination. - Lusha Wang; Anamika Dubey; Assefaw H. Gebremedhin; Anurag K. Srivastava 001; Noel N. Schulz (IEEE Trans. Smart Grid, 2022)

Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning. - Jarren Briscoe; Assefaw H. Gebremedhin (CIKM, 2024)

A Critical Review of Cybersecurity Education in the United States. - James Crabb; Christopher D. Hundhausen; Assefaw H. Gebremedhin (SIGCSE (1), 2024)

Network analysis of driver genes in human cancers. - Shruti S. Patil; Steven A. Roberts; Assefaw H. Gebremedhin (Frontiers Bioinform., 2024)

Cybersecurity Education: Insights From a Novel Cybersecurity Summer Workshop. - James Crabb; Clemente Izurieta; Bernard Vanwie; Olusola O. Adesope; Assefaw Hadish Gebremedhin (IEEE Secur. Priv., 2024)

Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review. - James Halvorsen; Clemente Izurieta; Haipeng Cai; Assefaw Hadish Gebremedhin (ACM Comput. Surv., 2024)

Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics. - Jarren Briscoe; Garrett Kepler; Daryl Deford; Assefaw H. Gebremedhin (AISTATS, 2025)

ScaWL: Scaling k-WL (Weisfeiler-Lehman) Algorithms in Memory and Performance on Shared and Distributed-Memory Systems. - Coby Soss; Aravind Sukumaran-Rajam; Janet Layne; Edoardo Serra; Mahantesh Halappanavar; Assefaw H. Gebremedhin (ACM Trans. Archit. Code Optim., 2025)

Revisiting Sparse Matrix Coloring and Bicoloring. - Alexis Montoison; Guillaume Dalle; Assefaw Hadish Gebremedhin (CoRR, 2025)

HierGP: Hierarchical Grid Partitioning for Scalable Geospatial Data Analytics. - Olufunso Oje; Tashi Stirewalt; Ofer Amram; Perry Hystad; Solmaz Amiri; Assefaw Hadish Gebremedhin (ACM Trans. Spatial Algorithms Syst., 2025)