International workshop on Autonomous UAV Swarms and Distributed Airborne Tracking Systems

1st International workshop on Autonomous UAV Swarms and Distributed Airborne Tracking Systems (AuDiSys 2027)

in conjunction with ICDCN 2027 - 28th International Conference on Distributed Computing and Networking

January 4-7, 2027

1st International Workshop on Autonomous UAV Swarms and Distributed Airborne Tracking Systems (AuDiSys 2027)

The 1st International Workshop on Autonomous UAV Swarms and Distributed Airborne Tracking Systems (AuDiSys 2027) will be held in conjunction with the International Conference on Distributed Computing and Networking (ICDCN 2027).

The International Conference on Distributed Computing and Networking (ICDCN) is a premier international forum dedicated to advances in distributed computing, networking, and their emerging applications. Since its inception, ICDCN has earned a strong reputation as one of the leading conferences in the field by bringing together researchers, practitioners, and industry experts to present and discuss cutting-edge innovations. The conference features a highly selective technical program comprising research papers, workshops, tutorials, posters, demonstrations, and a doctoral symposium, offering an excellent platform for knowledge exchange and collaboration. The 2027 edition of ICDCN will be hosted by the National Institute of Technology Karnataka (NITK), Surathkal, India.

As part of ICDCN 2027, the inaugural edition of AuDiSys 2027 aims to foster interdisciplinary research at the intersection of autonomous unmanned aerial vehicle (UAV) swarms, distributed intelligence, airborne sensing, and collaborative tracking systems. Recent advances in artificial intelligence, edge computing, wireless communications, and multi-agent systems have enabled UAV swarms to perform complex cooperative missions with minimal human intervention. These capabilities are transforming a wide range of applications, including disaster response, environmental monitoring, precision agriculture, border surveillance, smart cities, infrastructure inspection, and defense.

AuDiSys 2027 provides a dedicated forum for researchers, academicians, industry professionals, and government organizations to present novel ideas, share practical experiences, and discuss future directions in intelligent airborne systems. The workshop particularly encourages research that integrates onboard intelligence, distributed decision-making, cooperative perception, and resilient aerial networking to enable scalable and trustworthy autonomous UAV operations.

The workshop invites original research papers, position papers, and demonstration papers presenting novel theoretical contributions, system implementations, experimental studies, and real-world applications related to autonomous UAV swarms and distributed airborne tracking systems.

Topics of Interest

Topics of interest include, but are not limited to:

UAV swarm intelligence
Multi-agent coordination and cooperative control
Distributed target detection and tracking
Distributed sensing and sensor fusion
UAV networking and aerial communications
Edge AI and onboard intelligence
Machine learning and reinforcement learning for UAV systems
Autonomous navigation, localization, and path planning
Human–swarm interaction
Cybersecurity and privacy for UAV swarms
Trustworthy, explainable, and responsible AI for aerial systems
6G-enabled aerial and integrated space-air-ground networks
Resilient, adaptive, and fault-tolerant swarm systems
Search-and-rescue and disaster management applications
Smart city, environmental monitoring, and precision agriculture applications
Digital twins and simulation frameworks for UAV swarms
Energy-efficient and sustainable UAV operations
Regulatory, ethical, and policy considerations for autonomous aerial systems

Proceedings

ICDCN 2027 workshop proceedings will be published as a companion volume along with the main conference proceedings via ACM ICPS. Please note that ACM has moved to a new open access publishing model. Authors may be required to pay an Article Processing Charge (APC) if their organization is not a member of the ACM Open program.