Erik Hemberg

Erik Hemberg

Massachusetts Institute of Technology

H-index: 24

North America-United States

About Erik Hemberg

Erik Hemberg, With an exceptional h-index of 24 and a recent h-index of 19 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Artificial Intelligence, Machine Learning, Evolutionary Computation.

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

Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations

Using a Large Language Model to Choose Effective Climate Change Messages

Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology

Evolving Code with A Large Language Model

Assessing Large Language Model’s knowledge of threat behavior in MITRE ATT&CK

Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks

Is the Facebook Ad Algorithm a Climate Discourse Influencer?

Genetic Programming and Coevolution to Play the Bomberman™ Video Game

Erik Hemberg Information

University

Position

Research Scientist, MIT CSAIL

Citations(all)

2026

Citations(since 2020)

1336

Cited By

1166

hIndex(all)

24

hIndex(since 2020)

19

i10Index(all)

56

i10Index(since 2020)

39

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Erik Hemberg Skills & Research Interests

Artificial Intelligence

Machine Learning

Evolutionary Computation

Top articles of Erik Hemberg

Title

Journal

Author(s)

Publication Date

Enhancements to Threat, Vulnerability, and Mitigation Knowledge for Cyber Analytics, Hunting, and Simulations

Digital Threats: Research and Practice

Erik Hemberg

Matthew J Turner

Nick Rutar

Una-May O’reilly

2024/3/21

Using a Large Language Model to Choose Effective Climate Change Messages

Thomas Benchetrit

Iris Kremer

Erik Hemberg

Aruna Sankaranarayanan

Una-May O'Reilly

2024/2/26

Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology

Mario Hevia Fajardo

Per Kristian Lehre

Jamal Toutouh

Erik Hemberg

Una-May O’Reilly

2024/2/18

Evolving Code with A Large Language Model

arXiv preprint arXiv:2401.07102

Erik Hemberg

Stephen Moskal

Una-May O'Reilly

2024/1/13

Assessing Large Language Model’s knowledge of threat behavior in MITRE ATT&CK

Ethan Garza

Erik Hemberg

Stephen Moskal

Una-May O’Reilly

2023

Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks

Jamal Toutouh

Subhash Nalluru

Erik Hemberg

Una-May O'Reilly

2023/7/15

Is the Facebook Ad Algorithm a Climate Discourse Influencer?

Aruna Sankaranarayanan

Erik Hemberg

Piotr Sapiezynski

Una-May O'Reilly

2023/12/15

Genetic Programming and Coevolution to Play the Bomberman™ Video Game

Robert Gold

Henrique Branquinho

Erik Hemberg

Una-May O’Reilly

Pablo García-Sánchez

2023/4/9

Adversarial Evolutionary Learning with Distributed Spatial Coevolution

Jamal Toutouh

Erik Hemberg

Una-May O’Reilly

2023/11/2

Adversarial agent-learning for cybersecurity: a comparison of algorithms

The Knowledge Engineering Review

Alexander Shashkov

Erik Hemberg

Miguel Tulla

Una-May O’Reilly

2023

Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing

ByeongJo Kong

Erik Hemberg

Ana Bell

Una-May O'Reilly

2023/3/13

Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification

Applied Soft Computing

Jamal Toutouh

Subhash Nalluru

Erik Hemberg

Una-May O’Reilly

2023/11/1

LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing

arXiv preprint arXiv:2310.06936

Stephen Moskal

Sam Laney

Erik Hemberg

Una-May O'Reilly

2023/10/10

GUI-based, efficient genetic programming and AI planning For Unity3D

Robert Gold

Andrew Haydn Grant

Erik Hemberg

Chathika Gunaratne

Una-May O’Reilly

2023/3/12

The Facebook Algorithm's Active Role in Climate Advertisement Delivery

arXiv preprint arXiv:2308.03191

Aruna Sankaranarayanan

Erik Hemberg

Piotr Sapiezynski

Una-May O'Reilly

2023/8/6

GUI-based, efficient genetic programming for unity3D

Robert Gold

Andrew Haydn Grant

Erik Hemberg

Chathika Gunaratne

Una-May O'Reilly

2022/7/9

Synthesizing programs from program pieces using genetic programming and refinement type checking

Sabrina Tseng

Erik Hemberg

Una-May O’Reilly

2022/4/13

Sourcing language models and text information for inferring cyber threat, vulnerability and mitigation relationships

AI4Cyber/MLHat: AI-enabled Cybersecurity Analytics and Deployable Defense at KDD

Erik Hemberg

Ashwin Srinivasan

Nick Rutar

Una-May O’Reilly

2022

CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign

Stephen Moskal

Erik Hemberg

Una-May O'Reilly

2022/7/9

Analyzing multi-agent reinforcement learning and coevolution in cybersecurity

Matthew J Turner

Erik Hemberg

Una-May O'Reilly

2022/7/8

See List of Professors in Erik Hemberg University(Massachusetts Institute of Technology)

Co-Authors

H-index: 49
Michael O'Neill

Michael O'Neill

University College Dublin

H-index: 46
Una-May O'Reilly

Una-May O'Reilly

Massachusetts Institute of Technology

H-index: 45
Holger Claussen

Holger Claussen

University College Cork

H-index: 37
Kalyan Veeramachaneni

Kalyan Veeramachaneni

Massachusetts Institute of Technology

H-index: 36
Chris Zegras

Chris Zegras

Massachusetts Institute of Technology

H-index: 33
Anthony Brabazon

Anthony Brabazon

University College Dublin

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