Mr. Ioannis Daramouskas | Tracking Award | Best Researcher Award

Mr. Ioannis Daramouskas, Computer Technology Institute and Press “Diophantus”, Greece.

Ioannis Daramouskas, a Greek national born on July 30, 1989, is a Research Software Engineer with extensive experience in unmanned aerial systems and localization technologies. He holds a position at the Applied Mechanics Lab, Mechanical Engineering & Aeronautics Department, University of Patras, Greece, where he has contributed to various high-profile projects. His work includes the “EuroSWARM” project, focused on unmanned heterogeneous swarm systems for the European Defense Agency, and the “EuroDRONE” project, aimed at developing U-Space functionalities. Additionally, he is involved in the Computer Technology Institute and Press “Diophantus” project, designing wearable devices for locating and rescuing individuals. Currently, he is engaged in the Metropolis 2 project, addressing air traffic management in urban environments. Daramouskas’s expertise spans task allocation, autonomous systems, sensor fusion, and localization algorithms, with a strong focus on real-time tracking and integration.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability:

Ioannis Daramouskas has demonstrated significant contributions in the fields of unmanned aerial systems, localization technologies, and real-time tracking. His work on innovative UAV technologies, particularly in swarm systems and urban air traffic management, highlights his expertise and impact in these areas. His involvement in prominent projects like EuroSWARM and Metropolis 2, along with his extensive publication record, underscores his suitability for the Best Researcher Award.

Education

[B.Sc. in Computer Engineering and Informatics]
University of Patras, Greece
Graduated: 2011
[M.Sc. in Computer Engineering and Informatics]
University of Patras, Greece
Graduated: 2014

Work Experience

Research Software Engineer
Applied Mechanics Lab, Mechanical Engineering & Aeronautics Department, University of Patras
Patra, Greece
31/08/2017 – 22/02/2018
- Research Topic: Unmanned Heterogeneous Swarm of Sensor Platforms (EuroSWARM Project)
- Responsibilities: Task Allocation, Autonomous Flights, Multi-agent System Architecture, Sensor Fusion, Real-time Tracking, Integration, Demo Preparation, and Testing.
- Frameworks and Libraries: ROS, mavros, bebop_autonomy, OpenCV
- Project Link: EuroSWARM Project
Research Software Engineer
Applied Mechanics Lab, Mechanical Engineering & Aeronautics Department, University of Patras
Patra, Greece
31/05/2019 – 29/04/2020
- Research Topic: U-Space Functionalities (EuroDRONE Project)
- Responsibilities: Demo Preparation, Testing, Integration, FLARM Messages Interpretation for Sense and Avoid Subsystem.
- Frameworks and Libraries: Dronekit, DroNav, FLARM
- Project Link: EuroDRONE Project

Publication top Notes:

Real-time multiple object tracking using deep learning methods

CITED: 56

Using neural networks for RSSI location estimation in LoRa networks

CITED: 26

A survey of methods for location estimation on Low Power Wide Area Networks

CITED: 15

Autonomous unmanned heterogeneous vehicles for persistent monitoring

CITED: 11

A machine learning approach for global steering control moment gyroscope clusters

CITED: 10

Deep learning methods in medical imaging for the recognition of breast cancer

CITED: 9

Assoc Prof Dr. Yifan Shen, Liaoning Technical University, China

Yifan Shen is an Associate Professor at the School of Surveying and Geo-Informatics, Liaoning Technical University. He earned his Ph.D. in Surveying Science and Technology from Liaoning Technical University in June 2022, where he also completed his M.Sc. and B.Sc. degrees in the same field. Since August 2022, he has been serving as a Postdoctoral Researcher at Liaoning Technical University. His research focuses on groundwater storage anomalies, terrestrial water storage, and machine learning applications in environmental monitoring. Shen has published extensively in journals such as Remote Sensing and IEEE Access, and holds several patents related to water storage anomaly analysis and deep learning techniques. He has received notable awards, including the First Prize in Innovation and Entrepreneurship from the China Invention Association and the Second Prize in Innovation and Development from the China Productivity Promotion Center Association, both in 2022.

Summary of Suitability for Best Scholar Award:

Yifan Shen’s academic journey and research achievements position him as an exemplary candidate for the Best Scholar Award. With a solid educational foundation from Liaoning Technical University, including a Ph.D. in Surveying Science and Technology, Shen has demonstrated exceptional scholarly rigor and innovation throughout his career.

Publication top Notes: