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