Mohamoud Ali
I am currently an interdisciplinary PhD student at the University of Missouri - Kansas City, School of Graduate Studies under the guidance of advisor Dr. Yugyung (Yugi) Lee and co-advisor Dr. Praveen Rao.
I also work as a research assistant under Dr. Lee.
My research interests revolve around looking Artificial Intelligence through the lens of interdisciplinary approach in areas that include:
- Predictive Analytics and Machine Learning
- Dynamic Networks
- Text Engineering and Natural Language Processing
- Autonomous Agents
- Semantic Web
Outside of academia, I have over a decade of experience building commercial and enterprise software solutions for automotive industry, medical industry, shipping, banking industry and more.
Highlights
01/2018 Our paper is accepted to UMKC Interdisciplinary Student Conference and Community of Scholars, February 7-8, 2018, Kansas City, Missouri USA
10/2017 Our paper "CRM Sales Prediction Using Continuous Time-Evolving Classification" is accepted for Innovative Applications of Artificial Intelligence in the Thirty-Second AAAI Conference on Artificial Intelligence, February 2-7, 2018, New Orleans, Louisiana USA
02/2017 iPhD Plan of study approved
12/2016 Presented a computer science seminar in "Predictive CRM" at UMKC
05/2015 Completed Master of Science program at the University of Missouri majoring in Computer Science with emphasis of Software Engineering
04/2015 Accepted to the iPhD program at the University of Missouri with primary discipline of Computer Science and coordinating discipline of Telecommunications and Networking