Adham Atyabi received his BSc in Computer-Engineering from Azad University of Mashhad-Iran in 2002. His BSc thesis title was Imitating human speech. He received his MSc by research from the faculty of Computer Science and Information Technology at Multimedia University of Malaysia in 2009. His MSc thesis title was ”Navigating agents in uncertain environment using Particle Swarm Optimization”. He received EIPRS scholarship from Australian government and Flinders University for his PhD in 2009 in addition to receiving Academic Excellence award from South Australia government in 2013. His PhD thesis title was "Evolutionary Optimization of Brain Computer Interfaces: Doing More with Less". In the course of his PhD study he was PhD Student representative of Flinders at Australian Computer Societ
more...Adham Atyabi received his BSc in Computer-Engineering from Azad University of Mashhad-Iran in 2002. His BSc thesis title was Imitating human speech. He received his MSc by research from the faculty of Computer Science and Information Technology at Multimedia University of Malaysia in 2009. His MSc thesis title was ”Navigating agents in uncertain environment using Particle Swarm Optimization”. He received EIPRS scholarship from Australian government and Flinders University for his PhD in 2009 in addition to receiving Academic Excellence award from South Australia government in 2013. His PhD thesis title was "Evolutionary Optimization of Brain Computer Interfaces: Doing More with Less". In the course of his PhD study he was PhD Student representative of Flinders at Australian Computer Society (ACS) in 2010-2011 and University Relation Manager of Young IT SA in 2011. He was also a member of Flinders robotic team called MAGICIAN (one of the top 5 teams in the world in the MAGIC2010 competition) in 2009-2010. Currently, he is a Research Assistant working under Prof Samia Nefti-Meziani's supervision on GAMMA PROGRAMME at Salford University. His research interests include Swarm and Cognitive Robotics, Brain Computer Interfacing, Knowledge Transfer, Machine Learning, and Evolutionary Optimization.