Hiva Samadian, Ph.D.
Assistant Professor of Computer Science

Dr. Hiva Samadian is an Assistant Professor of Computer Science at King's College. His main teaching interests are in courses such as Theory of Computation, Analysis of Algorithms, Discrete Structures, Programming, and Data Structures. His principle teaching objectives are raising students’ motivation to learn, and facilitating students’ mastery of the field, thereby making them become independent learners, and creative and critical thinkers in their future careers and daily lives. His research interests are Theoretical Computer Science, Algorithms and Data Structures, Computational Complexity, Logic, and Computability and Automata Theory. Dr. Samadian is a theorist who provides logical, mathematical, and algorithmic solutions to computer science problems. His research projects in the fields of Computational Biology, Access Control, Robot Motion Planning, and Data Mining all share the theoretical nature of their research methods. His current research on Solvable Graphs for Robot Motion Planning problem tries to find the properties of a solvable graph through identifying some basic topological structures that their solvability contributes vitally to the solvability of the graph containing them.

Since 2011, Dr. Samadian has enjoyed teaching and mentoring young computer science college students and involving them in undergraduate research projects. He is committed to Diversity, Equity, and Inclusion, and providing an interactive and collaborative learning environment for students, and cultivating ethical research and professional attitudes in students. Before joining King’s College, he was a visiting assistant professor of computer science at Colgate University. He feels he is still young enough to continue playing soccer in his spare time.

Ph.D. in Computer Science, University of Puerto Rico Mayaguez
M. S. in Information Technology, Tarbiat Modares University, Iran
B.S. Pure Mathematics, Amir Kabir University, Iran

Contact Information
Phone: TBD
Office: 420 Administration