in conjunction with
27th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2026)
Bologna, Italy | 16 - 19 June 2026
Advancing AI for the Low-Altitude Economy and Satellite-Augmented Drone Networks
The Workshop on Artificial Intelligence for Networked Drone and Sensor Applications (DroneSense-AI) aims to bring together researchers, practitioners, and industry experts to explore the integration of machine learning (ML) and Artificial Intelligence (AI) with networked drones and intelligent sensor systems. This convergence continues to reshape sectors such as agriculture, environmental monitoring, disaster response, critical infrastructure, and public safety. Within the context of the emerging Low-Altitude Economy (LAE), the demand for AI driven coordination, perception, and decision making is growing rapidly.
ML/AI enabled drone and sensor systems can process large volumes of heterogeneous, real-time data to enable autonomous behavior, dynamic coordination, and mission aware optimization. To support these operations at scale, particularly for missions operating Beyond Visual Line of Sight (BVLOS), the integration of Satellite augmented connectivity is emerging as a critical infrastructure layer alongside terrestrial networks.
However, challenges such as processing latency, data integration, communication constraints, energy efficiency, and the lack of standardized architectures remain major barriers to widespread adoption. Promising avenues for overcoming these limitations are emerging, particularly in the form of quantum processing and secure communication. This workshop will address the technical challenges, emerging solutions, and application scenarios of ML/AI integration in distributed drone and sensor networks. It will provide a timely platform to present novel algorithms, deployment strategies, and scalability insights with an emphasis on real world impact and cross-disciplinary innovation.
The timeliness of this workshop is underscored by growing academic and industrial investment in ML driven autonomous systems, along with the rapid expansion of drone-enabled services. As such, this workshop provides a timely forum for researchers, developers, and practitioners to exchange ideas, share methodologies, and identify future directions in ML enhanced Internet of Drone (IoD) and Internet of Things (IoT) systems.
We invite original contributions on the following topics:
ML & AI Integration
Architectures for ML deployment in UAV/sensor networks
Edge and distributed learning for drones and IoT
Communication-efficient AI models for UAV swarms
AI-based anomaly detection and pattern recognition
Drone Operations & Autonomy
UAV navigation and real-time trajectory optimisation
Multi-agent coordination and swarm intelligence
AI for dynamic flight control and formation
Safety-aware autonomous drone systems
Environmental & Agricultural Applications
AI for crop health monitoring and yield prediction
Biodiversity tracking and habitat surveillance
UAV-enabled smart farming and remote sensing
Forest fire and disaster detection using AI
Infrastructure, Industry & Logistics
AI-powered infrastructure inspection and asset monitoring
Predictive maintenance using UAV-collected data
Autonomous delivery and drone-based logistics
Industry 4.0 integration with UAV and IoT platforms
Security, Surveillance & Public Safety
ML for real-time object/person detection
AI-based threat assessment and crowd monitoring
Privacy-preserving AI in surveillance drones
UAVs for law enforcement and emergency response
Healthcare & Emergency Services
UAV-based delivery of medical supplies
Real-time patient monitoring and telemedicine via drones
AI for emergency triage and disaster relief coordination
Connectivity & Networks
UAV-enabled IoT and wireless data collection
AI-optimised drone-assisted cellular network coverage
Communication protocols for dense UAV-sensor networks
Satellite-Augmented Drone Systems:
AI for seamless handovers between terrestrial (5G/6G) and LEO satellite links
Satellite-backhauled edge computing for remote drone operations
Distributed AI for space-air-ground integrated sensing
Resilient navigation and positioning in GNSS-denied environments
Emerging Paradigms
Quantum-enhanced communication and processing for UAVs
Quantum and mmWave sensing
Ethical and regulatory considerations in AI-based drone systems
Simulation environments and benchmarking for drone-AI research
Workshop organizers :
Associate Professor Jahan Hassan (Central Queensland University, Australia) – j.hassan@cqu.edu.au; https://staff-profiles.cqu.edu.au/home/view/19992
Associate Professor Biplob Ray (Central Queensland University, Australia)- b.day@cqu.edu.au; https://staff-profiles.cqu.edu.au/home/view/91
Associate Professor Jaime Galán-Jiménez (University of Extremadura, Spain)- jaime@unex.es; https://sites.google.com/view/jaime-galan-jimenez
Dr Shuvashis Dey (North Dakota State University, USA)- shuvashis.dey@ndsu.edu; https://www.researchgate.net/profile/Shuvashis-Dey-3
Program Committee Members:
Dr Mohammad Saiedur Rahaman, Central Queensland University, Australia
Dr Evizal Abdul Kadir, Universitas Islam Riau, Indonesia
Dr Zhenglin Wang, Central Queensland University, Australia
Dr Ajakwe Simeon O., ICT-CRC, South Korea
Dr Sajal Halder, RMIT, Australia
Dr Sayed Amir Hoseini, UNSW Canberra, Australia
Siddharth Raina, CMU, USA.
Dr Isura Arachchige, University of New South Wales, Australia
Dr Grishma Khadka, Bureau of Meteorology, Australia
Shouthiri Partheepan, Central Queensland University, Australia
Web Administrator:
Shouthiri Partheepan, Central Queensland University, Australia (s.partheepan@cqu.edu.au)
Submission link: on EDAS edas.info/newPaper.php?c=35067
All submissions are required to comply with IEEE WoWMoM guidelines. Initial submissions for review are limited to seven (7) pages (although 6 pages are preferred) formatted in two-column IEEE conference style with a font size of 10 points or greater. Camera-ready papers should not exceed six (6) pages including figures. One of the co-authors must present each accepted paper at the workshop.
The template for submissions may be found on the IEEE template page.
Contact email:
j.hassan@cqu.edu.au;
b.ray@cqu.edu.au
Paper submission deadline: 22 March, 2026
Paper acceptance notification: 12 April,2026
Camera-ready version due: 26 April, 2026
Workshop Date: 16 - 19, June 2026
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