JM Rektor oraz Dziekan Wydziału Automatyki, Robotyki i Elektrotechniki zapraszają na wykład otwarty Prof. dr inż. Eduardo Bayro-Corrochano
"Geometric Methods for Perception Action Systems: Signal and Image Processing, Computer Vision, AI, Neurocomputing, Deep Learning, Quantum Computing, Nonlinear Control and Robotics"
Wykład odbędzie się 15 stycznia (czwartek) o godz. 16.00 w sali 123 Biblioteki Technicznej
Prof. Dr. Bayro-Corrochano is an internationally recognized scholar and leading authority in the field of Geometric Cybernetics. His research focuses on the theoretical development and practical application of Clifford geometric algebras to a broad spectrum of domains, including pattern recognition, image processing, computer vision, artificial intelligence, neurocomputing, machine learning, control theory, robotics, and quantum computing.
He has made numerous pioneering contributions, among them the geometric multilayer perceptron (MLP), Clifford Support Vector Machines, quaternion-based quantum neural networks, and quaternion spike neural networks for pattern recognition and neuro-control. His work also includes the formulation of the Quaternion Wavelet Transform and Quaternion Fourier Transform grounded in space–time metrics, as well as the Quaternion Fractional FFT and Quaternion Quantum FFT for advanced color image processing. Furthermore, he has developed novel interpolation techniques for geometric entities—such as lines, planes, circles, spheres, and hyperplanes—based on motor algebra (SE(3)) and Bézier methods defined on the Study manifold. He has supervised numerous research projects and published extensively on quaternion wavelets for image processing, as well as on deep learning and quantum computing methods for medical imaging, medical robotics, mobile robotics, grasping, manipulation, quadrotor systems, and humanoid robotics.
In geometric algebra, his contributions span kinematics, dynamics, Euler–Lagrange and Newton–Euler recursive algorithms, port-Hamiltonian frameworks, and the application of the Koopman operator for phase-space computation. His work has had a substantial impact on nonlinear control, particularly in robot vision and general robotic systems. He is also a strong proponent of geometric quantum computing formulated within the Clifford geometric algebra framework.
His scientific legacy is prominently reflected in three of his eight authored books:
Geometric Algebra Applications Vol. I: For Graphics, Vision, and Neurocomputing (Springer, 2018)
Geometric Algebra Applications Vol. II: Robot Modelling and Control (Springer, 2019)
Geometric Algebra Applications Vol. III: Integral Transforms for Science and Engineering (Springer, 2024)
These volumes serve as foundational references for graduate-level education and as influential resources for researchers and engineers in cybernetics and related disciplines.
Prof. Bayro-Corrochano has served as Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems and the Journal of Mathematical Imaging and Vision, and he serves on the editorial boards of Pattern Recognition and Robotica. His accomplishments have been recognized by the State of Jalisco, Mexico, with the First Prize in Science and Technology in 2003 and 2009. He is a Fellow of the International Association of Pattern Recognition (IAPR), a Senior Member of the IEEE, and has been appointed to the IEEE Robotics and Automation Society (RAS) Administrative Committee as the representative for GEO Area 8.
He has played significant organizational roles in leading international conferences, including serving as General Chair of ICPR 2016 (December 4–8, Cancun, Mexico) and IEEE/RAS Humanoids 2016 (November 15–17, Cancun, Mexico). He will also serve as General Chair of IEEE/RAS ICRA 2028 in Guadalajara, Mexico.
