cv
Basics
| Name | Alessandro Amato |
| Label | Ph.D. Student & Research Associate |
| alessandro.ama98@gmail.com | |
| Phone | +1 850 791 9294 |
| Url | https://github.com/aamatodev |
| Summary | Ph.D. student at the University of West Florida, enrolled in the Intelligent Systems and Robotics program. My research interests include Reinforcement Learning, Multi-agent Reinforcement Learning, Mobile Ad-Hoc Networks, High-Performance Computing, and Game Engines. Currently, my research focuses on using Graph Neural Networks to improve cooperation and scalability in multi-agent systems. |
Work
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2022.05 - Present Pensacola, Florida
Research Associate
Institute for Human and Machine Cognition (IHMC)
Research in multi-agent reinforcement learning and network simulation
- Applying multi-agent reinforcement learning for job orchestration in resource- and communication-constrained environments
- Lead developer of IBVT: a 3D real-time, physically accurate simulator for Mobile Ad-hoc Networks, built with EMANE and Unity, featuring a custom, high-performance raytracing-based radio propagation model
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2021.08 - Present Pensacola, Florida
Graduate Research Assistant
University of West Florida
Teaching assistant for computer science courses
- Provided support to faculty for the following courses: Intermediate Computer Programming, Data Structures and Algorithms I, Programming Using C++, and Systems and Networks II
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2017.08 - 2021.08 Breganze, Italy
Software Developer and IT Consultant
RedMountain - FG sas
Full-stack development and IoT solutions
- Developed a platform using the MEAN stack (MongoDB, Express, Angular, Node.js) to optimize internal company production tasks
- Created WordPress plugins specifically designed for e-commerce-oriented applications
- Developed IoT solutions using the ESP-32 microprocessor for device-to-smartphone communication using BLE
- Built hybrid applications using the Ionic Framework
Volunteer
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2023.07 - Present Pensacola, Florida
Appointed Technical Team Member
NATO IST-193 Research group
IST 193 group's objectives are to investigate Edge Computing for the tactical edge, assess its applicability to military needs, explore standards and integration with existing systems, demonstrate benefits, propose standardization, and consider AI/ML applications.
Education
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2023.08 - Present Pensacola, USA
Ph.D. Student
University of West Florida
Intelligent Systems and Robotics
- Using Graph Neural Networks for Goal-Based Multi-Agent Reinforcement Learning in Social Navigation and networked scenarios
- Applying Multi-Agent Reinforcement Learning for distributed job allocation in resource- and communication-constrained networks
- Designing and implementing distributed networking scenarios for solution testing
- Utilizing Reinforcement Learning in simulated environments to determine the value of information in messages within resource- and communication-constrained networks
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2021.09 - 2022.08 Pensacola, Florida
MSc
University of West Florida
Computer Science
- Object recognition in distributed and embedded systems
- Sorting algorithm implementation for High-Performance computing platform with Open MP
- Machine learning approach to predict Value of Information of messages in Vehicular ad-hoc networks
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2020.09 - 2023.03 Ferrara, IT
MSc
University of Ferrara
Informatics and Automation Engineering
- Dissertation Thesis: Real-time physical accurate simulator for Mobile ad-Hoc Networks - This thesis proposes an integration between a Game-Engine and a Network emulator to compute the radio signal propagation in an urban environment by utilizing a custom ray-tracing engine
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2017.09 - 2020.09 Ferrara, IT
BCs
University of Ferrara
Informatics and Electronics Engineering
- Dissertation Thesis: IoHT system for telemonitoring the conditions of at-risk patients - The goal of this thesis is to develop a product for the Internet of Health Things that enables the remote telemonitoring of high-risk patients
Publications
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2025 Encoding Goals as Graphs: Structured Objectives for Scalable Cooperative Multi-Agent Reinforcement Learning
CoCoMARL@RLC 2025 - Reinforcement Learning Conference 2025
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2024 Distributed Autonomous Swarm Formation for Dynamic Network Bridging
INFOCOM 2024 - IEEE Conference on Computer Communications 2024
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2024 Multi-Agent Reinforcement Learning for Distributed Workflow Orchestration at the Tactical Edge
MILCOM 2024 - IEEE Military Communications Conference 2024
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2023 Dynamically Creating Tactical Network Emulation Scenarios using Unity and EMANE
MILCOM 2023 - IEEE Military Communications Conference 2023
Skills
| Programming Languages | |
| C# (.Net, Unity, Razor/Blazor) | |
| Python |
| Programming Languages | |
| Java | |
| JavaScript | |
| TypeScript | |
| C | |
| C++03 |
| Programming Languages | |
| Ruby-On-Rails |
| Tools and Frameworks | |
| Terraform | |
| Angular | |
| React | |
| Ionic | |
| Amazon Web Services | |
| Git | |
| Network Emulation and Simulation tools | |
| Azure |
| Soft Skills | |
| Teamwork | |
| Communication | |
| Problem-solving |
Languages
| English | |
| Professional proficiency |
| Italian | |
| Native proficiency |
Interests
| Research Areas | |
| Reinforcement Learning | |
| Multi-agent Reinforcement Learning | |
| Mobile Ad-Hoc Networks | |
| High-Performance Computing | |
| Game Engines | |
| Graph Neural Networks |