Aramais Tyshchenko is a Ph.D. candidate in the School of Engineering at the University of Warwick, Coventry, United Kingdom, where he researches energy-aware coverage path planning for unmanned aerial vehicles. His doctoral work spans 2D polygon decomposition and hybrid strategy selection, 2.5D terrain-following coverage, and 3D building and facade inspection, combining geometric algorithm design with validated UAV energy models and statistical evaluation over large benchmark suites. He holds an M.Sc. in Control Systems Engineering from Oles Honchar Dnipro National University, Ukraine, where his early research was in aerospace control systems. He has over nine years of professional engineering experience in safety-critical and data-intensive systems: he began by developing aerospace control-systems simulation and validation software, later worked on model-in-the-loop validation for surgical robotics and on ISO 26262-aligned automotive software, and is currently designing statistical validation methods for large-scale genomic data pipelines. His research interests include coverage path planning, UAV energy modelling, and optimisation.
Aramais Tyshchenko is a Ph.D. candidate in the School of Engineering at the University of Warwick, Coventry, United Kingdom, where he researches energy-aware coverage path planning for unmanned aerial vehicles. His doctoral work spans 2D polygon decomposition and hybrid strategy selection, 2.5D terrain-following coverage, and 3D building and facade inspection, combining geometric algorithm design with validated UAV energy models and statistical evaluation over large benchmark suites. He holds an M.Sc. in Control Systems Engineering from Oles Honchar Dnipro National University, Ukraine, where his early research was in aerospace control systems. He has over nine years of professional engineering experience in safety-critical and data-intensive systems: he began by developing aerospace control-systems simulation and validation software, later worked on model-in-the-loop validation for surgical robotics and on ISO 26262-aligned automotive software, and is currently designing statistical validation methods for large-scale genomic data pipelines. His research interests include coverage path planning, UAV energy modelling, and optimisation.