CPS: Fire Management

The CPS: Fire Management project aims advance the frontier of disaster management by developing innovative drone-based forest fire detection and monitoring technologies for rapid intervention in hard-to-access areas with minimal human intervention to protect firefighter lives. Additionally, we aim to develop multi-level fire modeling to offer strategic, event-scale, and new on-board, low-computation tactics using fast fire mapping from UAVs. We also aim to increase the safety of fire response by developing a bounded reasoning-based planning mechanism where the UAVs identify the fastest and safest evacuation roads for firefighters and fire-trucks in highly dynamic and uncertain dangerous zones.

FLAME (Fire Luminosity Airborne-based Machine learning Evaluation): Dataset | Paper | Code

FLAME 2: Dataset | Paper | Code

Faculty

Students

Owfi, Ali and Lin, ChunChin and Guo, Linke and Afghah, Fatemeh and Ashdown, Jonathan and Turck, Kurt "A Meta-learning based Generalizable Indoor Localization Model using Channel State Information," 2023 IEEE Global Communications Conference (GLOBECOM), 2024.

Yang, Yongliang and Modares, Hamidreza and Vamvoudakis, Kyriakos G. and Lewis, Frank L. "Cooperative Finitely Excited Learning for Dynamical Games," IEEE Transactions on Cybernetics, 2023. https://doi.org/10.1109/TCYB.2023.3274908.

Vundurthy, Bhaskar and Kanellopoulos, Aris and Gupta, Vijay and Vamvoudakis, Kyriakos G. "Intelligent Players in a Fictitious Play Framework," IEEE Transactions on Automatic Control, 2023. https://doi.org/10.1109/TAC.2023.3266505.

Vamvoudakis, Kyriakos G. and Fotiadis, Filippos and Hespanha, João P. and Chinchilla, Raphael and Yang, Guosong and Liu, Mushuang and Shamma, Jeff S. and Pavel, Lacra "Game Theory for Autonomy: From Min-Max Optimization to Equilibrium and Bounded Rationality Learning," 2023 American Control Conference (ACC), 2023. https://doi.org/10.23919/ACC55779.2023.10156432

Netter, Josh and Vamvoudakis, Kyriakos G. "Decentralized Multi-Agent Motion Planning in Dynamic Environments," 2023 American Control Conference (ACC), 2023. https://doi.org/10.23919/ACC55779.2023.10156024.

Alsamhi, Saeed Hamood and Almalki, Faris A. and Afghah, Fatemeh and Hawbani, Ammar and Shvetsov, Alexey V. and Lee, Brian and Song, Houbing "Drones? Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy" IEEE Transactions on Green Communications and Networking, v.6, 2022. https://doi.org/10.1109/TGCN.2021.3132561

Gharib, Mohammed and Nandadapu, Shashidhar and Afghah, Fatemeh "An Exhaustive Study of Using Commercial LTE Network for UAV Communication in Rural Areas" 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021. https://doi.org/10.1109/ICCWorkshops50388.2021.9473547

Bryce Hopkins and Leo O'Neill, Fatemeh Afghah and Abolfazl Razi and Eric Rowell and Adam Watts and Peter Fule and Janice Coen "FLAME 2: FIRE DETECTION AND MODELING: AERIAL MULTI-SPECTRAL IMAGE DATASET". IEEE DataPort, 2023

Zekavat, Seyed and Afghah, Fatemeh and Askari, Roohollah and Delabrouille, Jacques and French, Nancy and Furtado, Jason C. and Hanany, Shaul and Lubecke, Victor "Electromagnetic Spectrum Contribution in Astronomy, Health, Atmospheric, Geology and Environment Applications" International Journal of Wireless Information Networks, v.29, 2022. https://doi.org/10.1007/s10776-022-00558-7

Shamsoshoara, Alireza and Afghah, Fatemeh and Blasch, Erik and Ashdown, Jonathan and Bennis, Mehdi "UAV-Assisted Communication in Remote Disaster Areas Using Imitation Learning" IEEE Open Journal of the Communications Society, v.2, 2021. https://doi.org/10.1109/OJCOMS.2021.3067001

Namvar, Nima and Afghah, Fatemeh "Heterogeneous Airborne mmWave Cells: Optimal Placement for Power-Efficient Maximum Coverage" IEEE INFOCOM Workshop on Artificial Intelligence and Blockchain-Enabled Secure and Privacy-Preserving Air and Ground Smart Vehicular Networks (AIBESVN), 2022. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798023

Shamsoshoara, Alireza and Afghah, Fatemeh and Razi, Abolfazl and Zheng, Liming and Fulé, Peter Z. and Blasch, Erik "Aerial imagery pile burn detection using deep learning: The FLAME dataset" Computer Networks, v.193, 2021. https://doi.org/10.1016/j.comnet.2021.108001

Chen, Xiwen and Hopkins, Bryce and Wang, Hao and O'Neill, Leo and Afghah, Fatemeh and Razi, Abolfazl and Fulé, Peter and Coen, Janice and Rowell, Eric and Watts, Adam "Wildland Fire Detection and Monitoring using a Drone-collected RGB/IR Image Dataset" IEEE Applied Imagery Pattern Recognition Workshop (AIPR) , 2022 https://doi.org/10.1109/AIPR57179.2022.10092208

Rajoli, Hossein and Lotfi, Fatemeh and Atyabi, Adham and Afghah, Fatemeh "Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios" 57th Annual Conference on Information Sciences and Systems (CISS), 2023. https://doi.org/10.1109/CISS56502.2023.10089734

Abouheaf, Mohammed I. and Hashim, Hashim A. and Mayyas, Mohammad A. and Vamvoudakis, Kyriakos G. "An Online Model-Following Projection Mechanism Using Reinforcement Learning" IEEE Transactions on Automatic Control, 2023 https://doi.org/10.1109/TAC.2023.3243165

Seo, Taehwan and Sahoo, Prachi P. and Vamvoudakis, Kyriakos G. "Verification of Adversarially Robust Reinforcement Learning Mechanisms in Aerospace Systems" Proc. AIAA SCITECH 2023 Forum, 2023 https://doi.org/10.2514/6.2023-1070

Kokolakis, Nick-Marios T. and Vamvoudakis, Kyriakos G. "Safe Finite-Time Reinforcement Learning for Pursuit-Evasion Games" 2022 IEEE Conference on Decision and Control, 2022. https://doi.org/10.1109/CDC51059.2022.9993059

Kokolakis, Nikolaos-Marios T. and Vamvoudakis, Kyriakos G. "Safety-Aware Pursuit-Evasion Games in Unknown Environments Using Gaussian Processes and Finite-Time Convergent Reinforcement Learning" IEEE Transactions on Neural Networks and Learning Systems, 2022. https://doi.org/10.1109/TNNLS.2022.3203977

Hashim, Hashim A. and Vamvoudakis, Kyriakos G. "Adaptive Neural Network Stochastic-Filter-Based Controller for Attitude Tracking With Disturbance Rejection" IEEE Transactions on Neural Networks and Learning Systems, 2022 https://doi.org/10.1109/TNNLS.2022.3183026

Netter, Josh and Kontoudis, George P. and Vamvoudakis, Kyriakos G. "Bounded Rational RRT-QX: Multi-Agent Motion Planning in Dynamic Human-Like Environments Using Cognitive Hierarchy and Q-Learning" 2021 IEEE Conference on Decision and Control, 2021 https://doi.org/10.1109/CDC45484.2021.9683761

Garg, Tushar and Roy, Sayan Basu and Vamvoudakis, Kyriakos G. "PI-like Estimator-based Adaptive Extremum Seeking Control using Initial Excitation" 2022 IEEE Conference on Decision and Control, 2022. https://doi.org/10.1109/CDC51059.2022.9992676

The CPS: Fire Management project is funded by National Science Foundation Awards #2204445, #2038589, #2038741, and #2038759 and the Air Force Office of Scientific Research Award FA9550-20-1-0090.