Dr Jessica Cantillo-Negrete is a Researcher in Medical Sciences and Head of the Technological Research Subdirection at the National Institute of Rehabilitation Luis Guillermo Ibarra Ibarra, Mexico City, Mexico. She completed her MSc and PhD degrees at CINVESTAV, also in Mexico City. Jessica is a leader in Brain-Computer Interface research in Mexico, having led a multidisciplinary team for nine years that has developed and applied this technology for neurorehabilitation. Her team has performed the first publicly funded brain-computer interface clinical trials for stroke and spinal cord injury rehabilitation in Mexico and Latin America. She has also received funding from the Royal Society and the Newton Fund of the United Kingdom for establishing international collaborations aimed at the development of brain-computer interfaces. Jessica has been recognized as a National Researcher by the Mexican government since 2016 and is a Mentor in Science certified by the British Council, having participated in mentorship programs aimed at the professional career development of Mexican women in the STEM fields. She has published 30 journal articles and has been supervisor of 18 graduate and postgraduate students. She has published scientific dissemination papers in Mexican journals that explain brain-computer interfaces and their applications to the Spanish-speaking population. Her main objective is that her research has a positive impact on the health and quality of life of patients with neurological disabilities.

Dr. Seif Eldawlatly is a Professor of Artificial Intelligence and Neural Engineering in the Computer Science and Engineering Department at the American University in Cairo (AUC), and the Computer and Systems Engineering Department at Ain Shams University, Cairo, Egypt. He earned his Ph.D. in Electrical Engineering from Michigan State University, USA, in 2011, following his M.Sc. and B.Sc. degrees in Electrical Engineering from Ain Shams University, Egypt, in 2006 and 2003, respectively. His research spans Neural Engineering, Brain-Computer Interfaces (BCIs) and Artificial Intelligence, with a focus on developing machine learning and signal processing techniques for invasive and non-invasive BCI applications, neuroprosthetics, and visual prostheses. Dr. Eldawlatly has served as principal investigator on multiple significant research projects, including developing mobile BCI applications for people with disabilities, visual prosthetic systems for vision restoration through electrical stimulation, and exploring neural markers for early diagnosis of neurodegenerative diseases. He has authored over 80 peer-reviewed publications, including journal articles, book chapters, and conference papers, in prominent scientific outlets. He has secured research funding from several international and national agencies, including The African Engineering and Technology Network, National Academy of Sciences (USA), Science and Technology Development Fund (Egypt), Google through a Google Faculty Research Award, and the Information Technology Industry Development Agency (Egypt).