Papers

1

Total Citations

16

H-Index

1

About

Dr. Mykhaylo Soloshchuk is a leading researcher in artificial intelligence, computer vision, and unmanned aerial systems, with a focused expertise on enhancing object detection models for aerial imagery. His most-cited work, "Improving the model of object detection on aerial photographs and video in unmanned aerial systems" (2022, 16 citations), addresses a critical challenge in modern drone and robotics technology: the need for more accurate and efficient detection of objects from moving aerial platforms. By integrating advanced neural network architectures into unmanned systems, Soloshchuk’s research directly improves the reliability of computer vision in real-world surveillance, search-and-rescue, and autonomous navigation applications. His contributions help bridge the gap between theoretical AI models and practical deployment on resource-constrained drones. With a growing citation impact, Soloshchuk is recognized for advancing the frontier of intelligent aerial robotics, making his work essential reading for students and engineers developing next-generation autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Improving the model of object detection on aerial photographs and video in unmanned aerial systems
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: National Technical University "Kharkiv Polytechnic Institute"

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago