Assefaw Gebremedhin

Assefaw Gebremedhin

Washington State University

H-index: 27

North America-United States

About Assefaw Gebremedhin

Assefaw Gebremedhin, With an exceptional h-index of 27 and a recent h-index of 19 (since 2020), a distinguished researcher at Washington State University, specializes in the field of Data Science, Network Science, High-Performance Computing, Combinatorial Scientific Computing, Automatic Differentiation.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Critical Review of Cybersecurity Education in the United States

Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review

Unified modeling for emulating electric energy systems: Toward digital twin that might work

Cast to vote: A socio-technical network analysis of an election smartphone application

CP‐SyNet: A tool for generating customised cyber‐power synthetic network for distribution systems with distributed energy resources

MPC-based decentralized voltage control in power distribution systems with EV and PV coordination

Sequence Similarity Network Analysis Provides Insight into the Temporal and Geographical Distribution of Mutations in SARS-CoV-2 Spike Protein

Adversarial creation of a smart home testbed for novelty detection

Assefaw Gebremedhin Information

University

Position

School of EECS

Citations(all)

2546

Citations(since 2020)

1214

Cited By

1909

hIndex(all)

27

hIndex(since 2020)

19

i10Index(all)

47

i10Index(since 2020)

36

Email

University Profile Page

Washington State University

Google Scholar

View Google Scholar Profile

Assefaw Gebremedhin Skills & Research Interests

Data Science

Network Science

High-Performance Computing

Combinatorial Scientific Computing

Automatic Differentiation

Top articles of Assefaw Gebremedhin

Title

Journal

Author(s)

Publication Date

A Critical Review of Cybersecurity Education in the United States

James Crabb

Christopher Hundhausen

Assefaw Gebremedhin

2024/3/7

Applying Generative Machine Learning to Intrusion Detection: A Systematic Mapping Study and Review

James Halvorsen

Clemente Izurieta

Haipeng Cai

Assefaw H Gebremedhin

2024

Unified modeling for emulating electric energy systems: Toward digital twin that might work

Marija Ilic

Rupamathi Jaddivada

Assefaw Gebremedhin

2023

Cast to vote: A socio-technical network analysis of an election smartphone application

Digital Government: Research and Practice

Julia Stachofsky

Assefaw Gebremedhin

Robert E Crossler

2022/3/7

CP‐SyNet: A tool for generating customised cyber‐power synthetic network for distribution systems with distributed energy resources

IET Smart Grid

Lusha Wang

James Halvorsen

Sanjeev Pannala

Anurag Srivastava

Assefaw H Gebremedhin

...

2022/12

MPC-based decentralized voltage control in power distribution systems with EV and PV coordination

IEEE Transactions on Smart Grid

Lusha Wang

Anamika Dubey

Assefaw H Gebremedhin

Anurag K Srivastava

Noel Schulz

2022/3/3

Sequence Similarity Network Analysis Provides Insight into the Temporal and Geographical Distribution of Mutations in SARS-CoV-2 Spike Protein

Viruses

Shruti S Patil

Helen N Catanese

Kelly A Brayton

Eric T Lofgren

Assefaw H Gebremedhin

2022/7/29

Adversarial creation of a smart home testbed for novelty detection

AAAI Spring Symposium on Designing AI for Open Worlds

Jarren Briscoe

Assefaw Gebremedhin

Lawrence B Holder

Diane J Cook

2022/3

An Open-source Environment for Reinforcement Learning in Power Distribution Systems

Gayathri Krishnamoorthy

Anamika Dubey

Assefaw H Gebremedhin

2022/7/17

Lucid dreaming for experience replay: refreshing past states with the current policy

Neural Computing and Applications

Yunshu Du

Garrett Warnell

Assefaw Gebremedhin

Peter Stone

Matthew E Taylor

2022/2

Nwhy: A framework for hypergraph analytics: Representations, data structures, and algorithms

Xu T Liu

Jesun Firoz

Assefaw H Gebremedhin

Andrew Lumsdaine

2022/5/30

High-order line graphs of non-uniform hypergraphs: Algorithms, applications, and experimental analysis

Xu T Liu

Jesun Firoz

Sinan Aksoy

Ilya Amburg

Andrew Lumsdaine

...

2022/5/30

Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis

ACM Journal of Experimental Algorithmics

Xu Liu

Andrew Lumsdaine

Mahantesh Halappanavar

Kevin Barker

Assefaw Gebremedhin

2022/12/13

Reinforcement learning for battery energy storage dispatch augmented with model-based optimizer

Gayathri Krishnamoorthy

Anamika Dubey

Assefaw H Gebremedhin

2021/10/25

RMACXX: An Efficient High-Level C++ Interface over MPI-3 RMA

Sayan Ghosh

Yanfei Guo

Pavan Balaji

Assefaw H Gebremedhin

2021/5/10

An adaptive machine learning framework for behind-the-meter load/PV disaggregation

IEEE Transactions on Industrial Informatics

Ramyar Saeedi

Sajan K Sadanandan

Anurag K Srivastava

Kevin L Davies

Assefaw H Gebremedhin

2021/2/22

Paradigms for Effective Parallelization of Inherently Sequential Graph Algorithms on Multi-Core Architectures

Assefaw Gebremedhin

Mostofa Patwary

Fredrik Manne

2021

Parallel algorithms for efficient computation of high-order line graphs of hypergraphs

Xu T Liu

Jesun Firoz

Andrew Lumsdaine

Cliff Joslyn

Sinan Aksoy

...

2021/12/17

Direction-optimizing label propagation and its application to community detection

Xu T Liu

Mahantesh Halappanavar

Kevin J Barker

Andrew Lumsdaine

Assefaw H Gebremedhin

2020/5/11

Collaborative multi-expert active learning for mobile health monitoring: architecture, algorithms, and evaluation

Sensors

Ramyar Saeedi

Keyvan Sasani

Assefaw H Gebremedhin

2020/3/30

See List of Professors in Assefaw Gebremedhin University(Washington State University)