Education and CertificationsPh.D. in Computer Science. University of York, UK (2010).
M.Sc. in Computer and Information Sciences. Ain Shams University, Egypt (2002).
B.Sc. in Computer Science and Pure Math. Ain Shams University, Egypt (1997).
Certificate in Peer Reviewing (QM) (2017).
Certificate in PEGA Systems Business Architect and System Architect (CBA and CSA), US (2016).
Certificate in Rubric Update Role Reinstatement (RURR) (2015).
Certificate in Applying the QM rubric (2013).
Certificate in personalized e-Learning. National College of Ireland, Dublin (2006).
Diploma in Tutoring in On-Line Learning Environment. Aalborg University, Denmark (2006).
BiographyRania Hodhod is an Assistant Professor at TSYS School of Computer Science, Columbus State University. Rania teaches and supervises undergraduate and graduate students. Rania’s research interests span a range of areas, such as artificial intelligence, expert systems, serious games, interactive narrative, and computational creativity. Rania has published over 80 refereed articles and a book chapter in these areas. Her research work has been partially supported by ITIDA (Information Technology Industry Development Agency).
Rania earned a Ph.D. degree from the University of York, UK. From 2011-2013, Rania was a Postdoctoral Research Fellow at the Adaptive Digital Media (ADAM) Lab in the Georgia Tech School of Literature, Media, and Communication where she researched and developed a computational model for shared mental models in digital improvisation environments, in addition to the development of a new context-based structural retrieval algorithm for cognitive scripts. In 2013, Rania joined the Entertainment Intelligence Lab at the Georgia Tech School of Interactive Computing where she researched procedural generation of computer game content, commonsense knowledge bases, and computational creativity. Rania joined CSU in 2014, during which she taught undergraduate and graduate courses and mentored more than 80 students for their research projects.
Academic AreasComputer Science: serious games; cognitive science; intelligent tutoring systems, computational intelligence; cognitive modeling; user modeling; adaptive systems; machine learning; expert systems; research methods.
Computer science education: Faculty development workshops and communities; undergraduate and graduate research; conducting school teachers workshops.
Research InterestsIntelligent Systems
Honors and Awards
- CSU Teaching and Learning Award 2017
- LEAD CSU Fellowship, 2016
- Phi Kappa Phi, 2016
- Finalist for the Faculty Research and Scholarships Award at CSU, 2016
- Columbus State University Outstanding Teacher of Writing Award , 2014-2015
- Recognition of Excellence: Graduate Faculty Award, 2015
- Faculty Writing Fellowship Award, 2015