Taha Eghtesad

Taha Eghtesad

Ph.D. 2026
Pennsylvania State University
Taha Eghtesad joined the Applied Artificial Intelligence Lab as a Ph.D. student in Fall 2018 and received his Ph.D. in 2026 under the supervision of Dr. Aron Laszka. He received a B.S. degree in Computer Engineering, with a minor in Software Engineering, from Shahid Beheshti University, Tehran, Iran. His research lies at the intersection of machine learning, game theory, cyber-physical systems, and systems security. In particular, his Ph.D. research focused on using artificial intelligence and machine learning to make cyber-physical systems more secure.
Machine Learning Game Theory Cyber-Physical Systems Systems Security

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing

In modern transportation networks, adversaries can manipulate routing algorithms using false data injection attacks, such as simulating heavy traffic with multiple devices running …

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Taha Eghtesad
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Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks

The increasing reliance of drivers on navigation applications has made transportation networks more susceptible to data-manipulation attacks by malicious actors. Adversaries may …

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Taha Eghtesad
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Distinguished Paper Award

Bug Hunters’ Perspectives on the Challenges and Benefits of the Bug Bounty Ecosystem

Although researchers have characterized the bug-bounty ecosystem from the point of view of platforms and programs, minimal effort has been made to understand the perspectives of …

Omer Akgul
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Decentralized Computation Market for Stream Processing Applications

While cloud computing is the current standard for outsourcing computation, it can be prohibitively expensive for cities and infrastructure operators to deploy services. At the same …

Scott Eisele
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Safe and Private Forward-Trading Platform for Transactive Microgrids

Power grids are evolving at an unprecedented pace due to the rapid growth of distributed energy resources (DER) in communities. These resources are very different from traditional …

Scott Eisele
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Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense

Moving target defense (MTD) is a proactive defense approach that aims to thwart attacks by continuously changing the attack surface of a system (e.g., changing host or network …

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Taha Eghtesad
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Blockchains for Transactive Energy Systems: Opportunities, Challenges, and Approaches

The emergence of blockchains and smart contracts have renewed interest in electrical cyber-physical systems, especially in the area of transactive energy systems. However, despite …

Scott Eisele
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Microtransit Solutions for Underserved Communities featured image

Microtransit Solutions for Underserved Communities

Public transportation infrastructure is an essential component in cultivating equitable communities. However, public transit agencies have historically struggled to achieve this since they are often severely stressed in terms of resources as they have to make the trade-off between concentrating service into routes that serve large numbers of people and spreading service out to ensure that people everywhere have access to at least some service. A solution that holds great promise for improving public transit systems is the integration of fixed-route services with microtransit systems: multi-passenger transportation services that serve passengers using dynamically generated routes and may expect passengers to make their way to and from common pick-up or drop-off points. However, most microtransit systems have failed in the past due to the lack of community engagement, inability to handle the uncertainty of operations when integrating the fixed transit, and inability to handle the system-level optimization challenges.

Mechanisms for Outsourcing Computation via a Decentralized Market

As the number of personal computing and IoT devices grows rapidly, so does the amount of computational power that is available at the edge. Since many of these devices are often …

Scott Eisele
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Cyber-Attacks and Mitigation in Blockchain Based Transactive Energy Systems

Power grids are undergoing major changes due to the rapid adoption of intermittent renewable energy resources and the increased availability of energy storage devices. These trends …

Carlos Barreto
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