PhD Students Webinar: “Innovative applications of drones for ensuring safety in transport”

PhD Students Webinar

On November 23rd, from 9:00 to 12:00 (CET) the sibling projects Drones4Safety, Labyrinth and Rapid will kick off the PhD Students Webinar Series on “Innovative applications of drones for ensuring safety in transport”.

The idea of this Webinar Series is to share knowledge between the PhD students that are working under the same H2020 projects in using drones to ensure safety in transport. In fact, the students will present their PhD work to their peers and discuss common challenges and possible solutions.

During the Webinar, Drones4Safety project will be represented by the PhD students of the University of Southern Denmark (SDU) and Aarhus University. Emad Samuel Malki Ebeid, associate professor at SDU, will introduce the Drones4Safety project, then, the PhD students Frederik Falk Nyboe, Nikolaj Haarhoj Malle, Lea Matlekovic and  Liping Shi will present their contribution to the project.

It is possible to find the complete agenda and freely register for the webinar at this link.

PhD students from Drones4Safety

Nicolaj Haarhøj, University of Southern Denmark, is graduated as a robotics engineer from University of Southern Denmark and currently he does a research for the Drones4Safety project as a PhD student. His focus is on sensors and AI for powerline detection onboard a resource constrained platform with the goal of enabling autonomous landing on the right cable.

Presentation: Towards Efficient Power Line Detection for Autonomous Drone Navigation and Overhead Cable Grasping

Liping Shi, Aarhus University, is a PhD fellow at the Department of Electrical and Computer engineering at Aarhus University. He is currently working on Drones4Saftey project. He graduated from University of Southern Denmark (SDU) on MSc. Mechatronics embedded control system. His research interests lie in the perception,  motion planning, coordination and decision making in autonomous systems on aerial applications.

Presentation: Inspection Path Planning for Aerial Vehicles via Sampling-based Sequential Optimization

Lea Matleković, University of of Southern Denmark, received a Bachelor’s degree in Electrical Engineering and Information Technology, and a Master’s in Control Engineering and Robotics from the Faculty of Electrical Engineering and Computing, University of Zagreb. She spent the first year of her Masters at the Faculty of Electronic Engineering, Pontifical Xavierian University in Bogota, Colombia as an exchange student. During her studies, she was working on projects in the field of robotics, specifically control, motion planning, and autonomous navigation systems. She is currently pursuing a Ph.D. in Computer Science at the University of Southern Denmark where her research interests encompass mission planning and path planning for autonomous unmanned aerial vehicles (UAV). She is doing research on autonomous (UAV) infrastructure inspection, e.g. inspection of power lines, bridges, and railways, and developing software for global mission planning. She is also interested in machine learning and computer vision.

Presentation: Microservices Application for Autonomous UAV Infrastructure Inspection Mission Planning

Frederik Falk Nyboe, University of Southern Denmark, is employed as a 4+4 PhD student at the University of Southern Denmark, meaning that he writes his Master thesis alongside his PhD studies. He works in onboard, embedded perception and control for multirotor drones for infrastructure inspection and contact tasks.

Presentation: Mechanical Design and Embedded Control for Multirotor Landing on Powerline for Recharging

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