most citedA Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and small Unmanned Aerial Systems (sUAS)

3 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2026

A Unified Framework for Joint Sensor Placement and Scheduling for Intrusion Detection

Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram

We consider an intrusion detection task in which a defender must jointly optimize sensor placement locations and orientations to minimize the probability of missed detection of an…

cs.MA2026

Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning

Iman Sharifi, Hyeong Tae Kim, Maheed Hatem Ahmed +2

In the envisioned future dense urban airspace, multiple companies will operate heterogeneous fleets of small unmanned aerial systems (sUASs), where each fleet includes several homo…

cs.LG2026

Multi-User Dueling Bandits: A Fair Approach using Nash Social Welfare

Maheed H. Ahmed, Mahsa Ghasemi

Learning from human preference data is becoming a useful tool, from fine-tuning large language models to training reinforcement learning agents. However, in most scenarios, the mod…

cs.CR2026

A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft

Mahyar Ghazanfari, Iman Sharifi, Peng Wei +25

This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical t…

cs.CR2026★ 3 cited

A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and small Unmanned Aerial Systems (sUAS)

Iman Sharifi, Mahyar Ghazanfari, Abenezer Taye +25

The rapid growth of small Unmanned Aerial Systems (sUAS) for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating with…

cs.LG2025

Reinforcement Learning from Multi-level and Episodic Human Feedback

Muhammad Qasim Elahi, Somtochukwu Oguchienti, Maheed H. Ahmed +1

Designing an effective reward function has long been a challenge in reinforcement learning, particularly for complex tasks in unstructured environments. To address this, various le…