Open positions in new research project


1 PhD student will be hired for a TUBITAK 1001 project entitled “Deep Learning and Computer Vision Assisted Multi-UAV Search and Rescue System“. In addition to the TUBITAK scholarship, further financial aid will be provided following Ozyegin University guidelines. For more info, visit

PhD student will focus on cross-layer MAC and network protocol design for mission-oriented multi-UAV networks. Expertise in wireless networks and swarm intelligence is required. Experience using a network simulator is strongly encouraged.

To apply: prepare a single PDF file that contains a letter of interest that indicates which position you are applying for and outlines why you are suitable for it; current CV with list of publications; diplomas, transcripts, and contact details of two references. Please send your application file to

Paper accepted in IEEE Networking Letters

Paper entitled “Dynamic Relay Selection and Positioning for Cooperative UAV Networks” is accepted for publication in IEEE Networking Letters.

This letter analyzes resource reservation for networking purposes in drone teams deployed for search and rescue missions. Building on a well-known static relay positioning technique that minimizes the number of drones, we propose a positioning and trajectory planning algorithm for relay nodes to provide connectivity to drones that are on a search and rescue mission.

Paper accepted in IEEE Transactions on Mobile Computing

Our paper entitled “Take the Field from your Smartphone: Leveraging UAVs for Event Filming” is accepted for publication in IEEE TMC.

This paper formulates an event coverage problem, namely, Sport Event Filming, with Connectivity Constraints, in which  a team of Unmanned Aerial Vehicles (UAV) fly over a limited field in order to track the movements of an object (e.g., of the ball) and to deliver a video stream of the events (e.g., ball passes, goals) to the spectators meeting certain timeliness and video quality criteria. In addition to a mathematical model that determines the sequence of optimum movements for the UAVs, we also provide dynamic, artificial potential function based, distributed UAV movement schemes to optimize networking performance.

Paper accepted in Autonomous Robots

Our paper entitled “Live multicast video streaming from drones: an experimental study” is accepted for publication in Autonomous Robots.

In this paper, we present and evaluate a multicast framework for point-to-multipoint and multipoint-to-point-to-multipoint video streaming. We evaluate the proposed application-layer rate-adaptive multicast video streaming over an aerial ad-hoc network that uses IEEE 802.11 in terms of goodput, delay, and packet loss.

Panel in IEEE WCNC 2019 on Drone Networks

Mr. Emini (T-Mobile Austria), Dr. Jeroen Wigard (Nokia Bell Labs), Dr. Challita (Ericsson) and myelf were panelists in IEEE WCNC 2019. The panel entitled ” Drone Networking: Technical Challenges and Business Opportunities” was organized by Dr. Fakhreddine and Dr. Bettstetter. We had a fruitful discussion on many topics including technical challenges inherent to the use of cellular-connected UAVs, regulatory aspects and security challenges in UAV networking, 5G and UAV networking, and the expected status of UAV networking for the next 5/10 years. IMG-20190417-WA0002

Workshop on Unmanned Vehicles in IEEE SECON

We are organizing the 1st International Workshop on Internet of Autonomous Unmanned Vehicles (IAUV 2019) in conjunction with IEEE SECON 2019 – IEEE International Conference on Sensing, Communication and Networking.

The workshop will be held in Boston, MA, USA, on June 10th, 2019. The submission deadline is March 15, 2019. For details, please visit

Selected authors will be invited to submit an extended version of their works to the MDPI Special Issue on « UAV-Based Applications in the Internet of Things (IoT) ». The special issue submission deadline is on July 15th, 2019.

Paper accepted in Elsevier Ad Hoc Networks Journal

Our paper entitled “Drone Networks: Communications, Coordination, and Sensing” is accepted for publication in Ad Hoc Networks Journal.

In this paper, we describe a high-level architecture for the design of a collaborative aerial system consisting of drones with on-board sensors and embedded processing, sensing, coordination, and communication and networking capabilities. We implement a multi-drone system consisting of quadcopters and demonstrate its potential in disaster assistance and area monitoring scenarios. Furthermore, we illustrate design challenges and present potential solutions based on the lessons learned so far.

Supporting First Response Personnel with Autonomous Drones

Our research at Klagenfurt focuses on many civil applications of drones. The following video illustrates the functionalities we can enable on quadrotor platforms tailored for disaster response. Specifically, we show multi-drone coordination supporting aerial surveillance, target detection, video streaming, delivery, navigation under forest canopy and human-drone interaction.

Survey accepted in IEEE Communications Surveys and Tutorials

Our survey entitled “Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint” is accepted in IEEE Communications Surveys and Tutorials.

This comprehensive survey reports the characteristics and requirements of UAV networks for envisioned civil applications over the period 2000–2015 from a communications and networking viewpoint. We survey and quantify quality-of service requirements, network-relevant mission parameters, data requirements, and the minimum data to be transmitted over the network. Furthermore, we elaborate on general networking related requirements such as connectivity, adaptability, safety, privacy, security, and scalability. We also report experimental results from many projects and investigate the suitability of existing communication technologies for supporting reliable aerial networking.


Paper accepted in ACM MobiSys Workshop-DroNet 2015

Our paper “An Autonomous Multi-UAV System for Search and Rescue,” is accepted in ACM MobiSys Workshop DroNet 2015 (Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use).

This paper proposes and evaluates the modular architecture of the autonomous unmanned aerial vehicle (UAV) system for search and rescue missions demonstrated here. The system is implemented in the Robot Operating System (ROS) and is capable of providing a real-time video stream from a UAV to one or more base stations using a wireless communications infrastructure. The system supports a heterogeneous set of UAVs and camera sensors.