in conjunction with
26th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2025)
May 27, 2025, Fort Worth, Texas
Venue https://wowmomconference2025.uta.edu/venue.html
The integration of machine learning (ML) with remote sensing technologies, such as the Internet of Things (IoT) and the Internet of Drones (IoD), is revolutionizing multiple sectors. Drones equipped with ML algorithms are now capable of processing large volumes of multi-modal sensed data—such as images and videos—enabling autonomous and intelligent operations. This synergy is fostering innovative applications in areas like agriculture, environmental monitoring, and disaster response.
However, to unlock the full potential of these systems, several challenges remain. These include long processing times, the integration of heterogeneous data sources, and the lack of standardized systems. The emerging capabilities of quantum processing offer new opportunities to address these obstacles and drive the development of integrated, intelligent solutions.
In the upcoming workshop, participants will explore how ML can enhance the processing and analysis of multi-modal sensed data from various sources, significantly improving the capabilities of networked drones and sensing technologies. Real-time processing of images, videos, and sensor data is crucial for enhancing decision-making and operational efficiency in dynamic environments like agriculture and disaster response.
We invite researchers to submit their original research papers to this workshop, contributing to the growing field of intelligent networked drones and sensing technologies.
The workshop will be held on 27 May 2025 in conjunction with the 26th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2025), in Fort Worth, Texas (https://wowmomconference2025.uta.edu/index.html). All accepted workshop papers will be included and indexed in the IEEE Digital Library (IEEE Xplore), showcasing their affiliation with IEEE WoWMoM.
• Introduction to Machine Learning in Drone Networks
• Drone Trajectory Design and Optimization
• Drone Swarm Technology
• Precision Agriculture and Crop Monitoring
• Environmental Monitoring and Wildlife Conservation
• Surveillance and Security
• Disaster Response and Emergency Services
• Construction and Infrastructure Management
• Energy and Utilities
• Logistics and Transportation
• Public Safety and Law Enforcement
• Healthcare and Medical Services
• Internet of Things (IoT)
• Cellular Networks
• Quantum processing and communication using drones
Co-Chairs:
Dr Jahan Hassan, Central Queensland University, Australia (Email: j.hassan@cqu.edu.au)
A/Prof. Fatemeh Afghah, Clemson University, USA (Email: fafghah@clemson.edu)
A/Prof. Biplob Ray, Central Queensland University, Australia (Email: b.ray@cqu.edu.au)
Technical Program Committee:
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 Nahina Islam, Central Queensland University, Australia
Dr Sajal Halder, CSIRO, Australia
Dr Sayed Amir Hoseini, UNSW Canberra, Australia
A/Prof. Jaime Galán Jiménez, University of Extremadura, Spain
Siddharth Raina, CMU, USA.
Dr Isura Arachchige, University of New South Wales, Australia
TBA
Website Administrator:
Shouthiri Partheepan, Central Queensland University, Australia (s.partheepan@cqu.edu.au)
Submission link: on EDAS https://edas.info/N33089
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.
Paper submission deadline: 15 March, 2025
Paper acceptance notification: 15 April,2025
Camera-ready version due: 23 April, 2025
Workshop Date: 27 May, 2025
December 2024: Website Launched
Conference program posted on website (Program Schedule)
1st Workshop on Artificial Intelligence for Networked Drone and Sensor Applications (DroneSense-AI 2024), held in conjunction with 17th International Conference on Security of Information and Networks, 02 December 2024 (fully online).