Area of research
Control and Systems Engineering · Applied Mathematics
Research interest
Research interests include Scrap, Artificial intelligence, Sorting, Deep learning, Computer science, and Aluminium.
Classification of aluminum scrap by laser induced breakdown spectroscopy (LIBS) and RGB + D image fusion using deep learning approaches
Deep learning regression for quantitative LIBS analysis
Quantification of alloying elements in steel targets: The LIBS 2022 regression contest
Closed-form solutions for the inverse kinematics of serial robots using conformal geometric algebra
Real-time classification of aluminum metal scrap with laser-induced breakdown spectroscopy using deep and other machine learning approaches
Simultaneous mass estimation and class classification of scrap metals using deep learning
Forecasting global aluminium flows to demonstrate the need for improved sorting and recycling methods