Nikos Nikolaidis
Aristotle University of Thessaloniki, International Hellenic University
Papers
12
Total Citations
90
H-Index
4
About
Nikos Nikolaidis is a leading researcher at the intersection of autonomous systems, robotics, and deep learning, with a particular focus on enabling safe and robust operation of Unmanned Aerial Vehicles (UAVs). His most impactful work, "Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks" (33 citations), addresses a critical challenge in drone autonomy by developing efficient, real-time visual landing systems. Nikolaidis is also the driving force behind the **OpenDR toolkit** (24 citations), an open-source framework that bridges the gap between deep learning and robotics by providing high-performance, low-footprint solutions tailored for robotic applications. His research consistently tackles the "sim-to-real" gap, as evidenced by his work on the **CARLA2Real** tool and synthetic data generation frameworks for improved UAV detection and human-centric robotic vision. By developing pipelines for generating realistic synthetic data and leveraging knowledge distillation techniques, Nikolaidis is advancing the reliability of autonomous systems in real-world environments. His contributions are foundational for students and researchers seeking to deploy deep learning on resource-constrained robotic platforms, making autonomous flight and navigation safer and more accessible.
Research Focus
Key Achievements
Top Papers
- 1Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks33 citations · 2021
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- 3Simulation environments8 citations · 2022
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- 6Using synthesized facial views for active face recognition4 citations · 2023
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- 9Multilayer Online Self-Acquired Knowledge Distillation2 citations · 2022
- 10An Innovative and Fully Automated System for Gel Electrophoresis2 citations · 2020