*Call for Papers*
************************************************************
**********************************************************
* DroneSense-AI 2025*
*Second Workshop on Artificial Intelligence for Networked Drone and Sensor
Applications (DroneSense-AI)*
Workshop website: https://sites.google.com/view/dronesense-ai2025
*In conjunction with IEEE International Symposium on a World of Wireless,
Mobile and Multimedia Networks (WoWMoM) 2025, *
May 27-30, 2025, Fort Worth, Texas, USA.
************************************************************
**********************************************************
* Overview:* The integration of machine learning (ML) with networked drone
and sensor technologies is revolutionizing multiple sectors. This
convergence allows drones and sensors equipped with ML algorithms to
process vast amounts of data, enhancing autonomous and intelligent
operations within interconnected systems. Although this integration drives
innovation and efficiency in fields such as agriculture, environmental
monitoring, and disaster response, challenges remain, including longer
processing times and a lack of standardized integration. These issues,
along with the need for distributed processing and coordinated
decision-making, highlight the necessity for further advancements to fully
unlock the potential of these technologies. Quantum technology represents a
promising frontier for addressing these challenges, particularly concerning
the computational, communication, and security demands of networked
systems. With growing interest from both research and industry communities,
the *DroneSense-AI *workshop seeks to explore and inspire novel ways in
which ML can optimize and expand the capabilities of networked drones and
sensors. We invite submissions addressing innovations, challenges, and
future directions in ML-driven networked drone and sensor systems.
DroneSense-AI welcomes original contributions on all aspects of AI
applications within this rapidly evolving field.
Accepted papers *will be included in the conference proceeding published in
the IEEE Xplore Digital Library*, showing their affiliation with IEEE
WoWMoM.
WoWMoM website: https://wowmomconference2025.uta.edu/index.html
**** Important dates ****
Workshop paper submission deadline: 1 March 2025
Workshop Paper acceptance notification: 1 April 2025
**** Topics of Interest include (but not limited to) ****
• Introduction to Machine Learning in Drone Networks
- Overview of ML techniques applicable to drones.
- Integration challenges and opportunities for ML in drone operations.
• Drone Trajectory Design and Optimization
- Techniques for planning efficient drone flight paths.
- ML algorithms for optimizing trajectory in dynamic environments.
• Drone Swarm Technology
- Principles and applications of drone swarms.
- Coordination and communication strategies for swarm operations.
- ML methods for managing and optimizing swarm behaviour.
• Precision Agriculture and Crop Monitoring
- ML for plant recognition, yield prediction, and crop health monitoring.
- Applications of drones in precision agriculture and sustainable farming.
• Environmental Monitoring and Wildlife Conservation
- Using ML for biodiversity tracking, species identification, and habitat
monitoring.
- UAVs in conservation efforts and real-time environmental data analysis.
• Surveillance and Security
- ML-based object and person detection for security purposes.
- Automated threat assessment and intelligent monitoring with drones.
• Disaster Response and Emergency Services
- Enhancing disaster response with ML-equipped drones.
- Real-time situational awareness and search and rescue operations using
drones.
• Construction and Infrastructure Management
- Automated inspection and monitoring of infrastructure through ML.
- Predictive maintenance and asset management for construction projects.
• Energy and Utilities
- ML applications for monitoring and managing energy infrastructure.
- Predictive maintenance and operational efficiency improvements for
utilities.
• Logistics and Transportation
- ML-driven automated delivery systems and logistics management.
- Optimizing traffic management and route planning using drones.
• Public Safety and Law Enforcement
- Enhancing public safety with ML-driven UAV surveillance.
- Applications of drones for automated monitoring and law enforcement.
• Healthcare and Medical Services
- Delivery of medical supplies and real-time patient health monitoring with
drones.
- Emergency medical response and logistics using ML-equipped UAVs.
• Internet of Things (IoT)
- Integrating ML and IoT with drones for advanced data collection and
analysis.
• Cellular Networks
- Optimizing cellular network performance and coverage through ML-driven
drones.
• Quantum processing and communication using drones
**** Submission Guidelines****
All submissions are required to comply with IEEE WoWMoM guidelines.
Submitted manuscripts should use IEEE 2-column conference style and are
limited to *6 pages* (including figures and references).
Please use the IEEE PES Conference template for your manuscript, which can
be found here: https://www.ieee.org/conferences/publishing/templates.html
*>>>>>> EDAS submission link:** https://edas.info/N33089
<https://edas.info/N33089>*
**** Workshop Chairs ****
• Dr Jahan Hassan (Central Queensland University, Australia)
• A/Prof. Fatemeh Afghah (Clemson University, USA)
• A/Prof. Biplob Ray (Central Queensland University, Australia)
------------------------------
To unsubscribe from the itc list, click the following link:
https://comsoc-listserv.ieee.org/cgi-bin/wa?SUBED1=itc&A=1
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
