World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
19631
World Ranking
1358
National Ranking
709

Research.com Recognitions

  • 2008 - SPIE Fellow

Overview

Erik Blasch is affiliated with the United States Air Force Research Laboratory in the United States. Their research focuses primarily on computer science and engineering fields, with prominent subfields including artificial intelligence, computer vision and pattern recognition, aerospace engineering, electrical and electronic engineering, and computer networks and communications.

The scientist has contributed extensively to multiple research topics, particularly in anomaly detection techniques and applications, video surveillance and tracking methods, IoT and edge/fog computing, target tracking and data fusion in sensor networks, human-automation interaction and safety, blockchain technology applications and security, and UAV applications and optimization.

Frequent coauthors collaborating with Erik Blasch include Yu Chen, Michael Braasch, David A. Brown, Mark Davis, and Frederick Daum.

Blasch's publication record includes papers in notable venues, with particular frequent contributions to the IEEE Aerospace and Electronic Systems Magazine, arXiv (Cornell University), Preprints.org, Sensors, and Future Internet.

  • Machine Learning/Artificial Intelligence for Sensor Data Fusion-Opportunities and Challenges, 2021, IEEE Aerospace and Electronic Systems Magazine
  • Situational Awareness: Techniques, Challenges, and Prospects, 2022, AI
  • WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning, 2022, IEEE Internet of Things Journal
  • Artificial Intelligence and Data Fusion at the Edge, 2021, IEEE Aerospace and Electronic Systems Magazine
  • FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion, 2021, IEEE Access

In addition to journal articles, Blasch has published books through Springer Science+Business Media and SPIE. Notable titles include "Dynamic Data Driven Applications Systems" (2020 and 2024 editions) and "Lightweight Blockchain for Internet of Things: Rationale and a Case Study" (2023).

Erik Blasch was recognized as a SPIE Fellow in 2008.

Best Publications

  • Encoding Color Information for Visual Tracking: Algorithms and Benchmark

    Pengpeng Liang;Erik Blasch;Haibin Ling

  • Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study

    Z. Liu;E. Blasch;Z. Xue;J. Zhao

  • High-Level Information Fusion Management and System Design

    Erik Blasch;Éloi Bossé;Dale Lambert

  • Scalable sentiment classification for Big Data analysis using Naïve Bayes Classifier

    Bingwei Liu;Erik Blasch;Yu Chen;Dan Shen

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Kalman Filtering with Nonlinear State Constraints

    Chun Yang;E. Blasch

  • Aerial imagery pile burn detection using deep learning: The FLAME dataset

    Alireza Shamsoshoara;Fatemeh Afghah;Abolfazl Razi;Liming Zheng

  • JDL level 5 fusion model: user refinement issues and applications in group tracking

    Erik P. Blasch;Susan Plano

  • BlendCAC: A BLockchain-Enabled Decentralized Capability-Based Access Control for IoTs

    Ronghua Xu;Yu Chen;Erik Blasch;Genshe Chen

  • Revisiting the JDL model for information exploitation

    Erik Blasch;Alan Steinberg;Subrata Das;James Llinas

  • Towards unbiased evaluation of uncertainty reasoning: The URREF ontology

    Paulo C. G. Costa;Kathryn B. Laskey;Erik Blasch;Anne-Laure Jousselme

  • Unmanned vehicles come of age: The DARPA grand challenge

    Guna Seetharaman;Arun Lakhotia;Erik Philip Blasch

  • Issues and Challenges in Situation Assessment (Level 2 Fusion)

    Erik Blasch;Ivan Kadar;John S. Salerno;Mieczyslaw M. Kokar

  • BlendCAC: A Smart Contract Enabled Decentralized Capability-Based Access Control Mechanism for the IoT

    Ronghua Xu;Yu Chen;Erik Blasch;Genshe Chen

  • Performance Measures of Covariance and Information Matrices in Resource Management for Target State Estimation

    Chun Yang;L. Kaplan;E. Blasch

  • High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges

    E. P. Blasch;D. A. Lambert;P. Valin;M. M. Kokar

  • DFIG Level 5 (User Refinement) issues supporting Situational Assessment Reasoning

    E. Blasch;S. Plano

  • Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

    Erik Blasch;Tien Pham;Chee-Yee Chong;Wolfgang Koch

  • Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection

    Xue Mei;Haibin Ling;Yi Wu;E. P. Blasch

  • Context-Enhanced Information Fusion

    Lauro Snidaro;Jesús García;James Llinas;Erik Blasch

  • Mobile positioning via fusion of mixed signals of opportunity

    Chun Yang;Thao Nguyen;Erik Blasch

  • RFAL: Adversarial Learning for RF Transmitter Identification and Classification

    Debashri Roy;Tathagata Mukherjee;Mainak Chatterjee;Erik Blasch

Frequent Co-Authors

Genshe Chen
Genshe Chen Intelligent Fusion Technology (United States)
Haibin Ling
Haibin Ling Westlake University
Jose B. Cruz
Jose B. Cruz The Ohio State University
Wei Yu
Wei Yu Towson University
Li Bai
Li Bai University of Nottingham
Zheng Liu
Zheng Liu University of British Columbia
Kathryn B. Laskey
Kathryn B. Laskey George Mason University
Guna Seetharaman
Guna Seetharaman United States Naval Research Laboratory
Zhi Tian
Zhi Tian George Mason University
Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut

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