Biography
Awrad Mohammed Ali earned her doctorate in computer science from the University of Central Florida (UCF) in 2019, following undergraduate and master’s degrees in computer engineering. Her research focused on the fields of machine learning and artificial intelligence, contributing to advancements in these rapidly evolving disciplines. After graduation, she worked as a data scientist, applying her expertise to solve complex problems in real-world settings.
Driven by a deep passion for academia, Ali has returned to UCF to continue her journey in education and research. She is committed to fostering innovation and inspiring the next generation of computer scientists through teaching and mentoring. Her dedication to combining industry experience with academic pursuits reflects her belief in the transformative power of education.
Publications
- Awrad Mohammed Aliand Avelino J. Gonzalez “Machine Learning from Casual Conversation” Machine learning journal 112, no. 12. 2023
- Awrad Mohammed Ali and Avelino J. Gonzalez. “Can a computer learn from a natural conversation with humans? ” In Proceedings of the 31st Flairs conference. 2018.
- Awrad Mohammed Ali and Avelino J. Gonzalez. “Machine Learning from Conversation with Humans” In Proceedings of the 30th Flairs conference. 2017.
- Awrad Mohammed Ali and Avelino J. Gonzalez. “Toward Designing a Realistic Conversational System: A Survey.” In Proceedings of the 29th Flairs conference. 2016.
- Rahmatollah Beheshti, Awrad Mohammed Ali, and Gita Sukthankar. “Cognitive Social Learners: An Architecture for Modeling Normative Behavior.” In the Association for the Advancement of Artificial Intelligence conference (AAAI). 2015.
- Awrad Mohammed Ali, Hamidreza Alvari, Alireza Hajibagheri, Kiran Lakkaraju, and Gita Sukthankar. “Synthetic generators for cloning social network data.” In Proceedings of Social Informatics. 2014.
Research Interests
- Machine learning
- Artificial intelligence
- Data mining
- Natural language processing
- Predictive analytics