Networked Autonomous Intelligent Learning (NAIL)

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Welecome to NAIL Lab! The lab’s goal is to develop resilient and sustainable intelligent networked autonomous systems capable of operating in highly dynamic, uncertain, and adversarial environments. The lab integrates expertise in machine learning, control and optimization, wireless communication, and human factors to design advanced algorithms and practical testbeds for cyber-physical systems, human-AI autonomy, and the Internet of Things (IoT).

• Vehicular Networked Control Systems
• Embodied AI
• Autonomous Robotic Systems
• Smart Manufacturing Automation
• Networked Power Systems and Smart Grids

Current Team Members

Lab Director

-Dr. Bin Hu

Ph.D. Students

Richie Ryulie Suganda

ECE (Spring 2024)

Learning-based Control and Optimization

Shaharyar Ahmed Khan Tareen

ECE (Spring 2024)

Robust Embodied AI

Benedictus Christo Geroda Cinung

ECE (Spring 2025)

Machine Learning and Robotics

Master Students and Research Assistants

Tony Tran

Engineering Data Science (Fall 2024)

Efficient Tiny Machine Learning & Embedded AI

Pooyan Ghodrati

Engineering Data Science (Fall 2023)

AI-powered Multi-drone Navigation

Undergraduate Students

AI-powered Drone Project

Team (Victor Le, Angel Gomez, Hieu Le, Nicolas Upshaw)

LLM based Drone Navigation and Control

AI-powered Race Car Project

Team (Yosef Abushaaban, Muhammad Ansari, Damian Castillo, Asaad Elsayed, Alejandro Zamarron)

Learning based Car Racing

Alumni

Previous Undergraduate Students, Master Students and Research Assistants

• Javier Caudle (2024, Captone project-Advance Surveillance Drone at UH)
• Steven Comayagua (2024, Captone project-Advance Surveillance Drone at UH)
• Leandra Guzman (2024, Captone project-Advance Surveillance Drone at UH)
• Weijie Huang (2024, Captone project-Advance Surveillance Drone at UH)
• Edward Perez (2024, Captone project-Advance Surveillance Drone at UH)
• Jahanvi Hitesh Dave (2023, RA funded by NSF at UH, now at Goldman Sachs)
• Kristof Siska (2019–2022, RA funded by NSF, now Master’s student at Old Dominion University)
• Jacob Michalick (2022, RA funded by DoD at ODU)
• Skye Taylor (2021, RA funded by NSF REU, now Master’s student at University of Virginia)
• Joshua Smith (2021, RA funded by NSF at ODU)
• Andrew Vecerkauskas (2020, RA funded by ONR at ODU)
• Jeremy Sklute (2020)
• Teresa Trinh (2019, RA funded by ONR at ODU)
• Zachariah Garvin (2019, RA funded by ONR at ODU)
• Thomas Sexton (2019, RA funded by ONR at ODU)
• Bryan Holland (2019, RA funded by ONR at ODU)
• Matthew Kersey (2019, RA funded by ONR at ODU)
• Victor Ortiz (2018)

Join Us

We are always looking for talented and motivated individuals passionate about cutting-edge research in intelligent and networked autonomous systems. If you’re interested, please contact Dr. Bin Hu for opportunities.

Acknowledgment

We gratefully acknowledge the support from our funding agencies, including the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), and the Office of Naval Research (ONR), for enabling our research in intelligent and networked autonomous systems.