Sebastian Sardina

Sebastian Sardina is a Professor in Artificial Intelligence. He obtained his Bachelor in Computer Science at the South National University, Argentina, and his PhD at the University of Toronto, Canada, before joining RMIT.

Sebastian's research is mainly concerned with representation and reasoning in Artificial Intelligence for dynamic systems with the objective of better programming intelligent controllers that are meant to operate in complex and dynamic environments. His work spans several sub-fields of Artificial Intelligence, including AI automated planning, knowledge representation, agent-oriented programming, and reactive synthesis.

He has has contributed to the enhancement of agent programming languages with learning and planning capabilities, and to the study and development of advanced forms of AI planning, including non-deterministic planning and automatic behaviour composition of devices and agents. In recent years, Sebastian has worked on the the goal/intention recognition problem. Sebastian scientific contributions regularly appear in several premier AI scientific venues, including IJCAI, AAMAS, ICAPS, KR, AIJ, JAIR, JAAMAS, and AAAI, among others. His work has received several best paper awards or nominations, and been invited to be presented nationally and internationally at various forums and institutions.

Beyond his University-level teaching as academic, where he mostly focuses on the foundational CS courses (like Theory of Computation, Discrete Mathematics, and Intro to AI), Sebastian has also been recently involved in bringing Computational Thinking to the community, particularly to children and youth. He has delivered/supported various workshops on algorithmic thinking for primary and secondary students and educators, participated in several MAV conferences as presenter, and has been a member of the VCAA study review panel for the Algorithmics (HESS) VCE program, which would come into effect in 2023 in Victoria.