Graduate Teaching/Research Assistant
- Department:Computer Science
- University:Marquette University, Milwaukee
GEORGE Olawunmi, Graduate Teaching/Research Assistant, Computer Science, Marquette University, Milwaukee, USA. A distinguished software engineer and machine learning researcher with proven skills in core programming languages such as Java, Python, R, PHP, and a number of other well-known languages.
Passionate about AI and voraciously researching with ML tools. Enthusiastic and ever-actively seeking to provide machine-intelligent solutions to problems in any area of life endeavor, particularly in computer vision and the Brain-Computer Interfaces field. Skilled with the knowledge and practical use of ML frameworks such as Keras, FB prophet, and Tensorflow. Worked on personal, research, and industry projects with a core understanding of the model and business requirements and the ability to come up with metrics depending on the business need.
Ph.D. in Computer Science, Expected 2021 Marquette University, Milwaukee, Wisconsin. Research Area & Interests: Machine learning, Deep learning, Big data, and Data Analytics, Brain-Computer Interfaces, Blockchain. Courses: Business Analytics, Advanced databases, Elements of software engineering, Machine learning, Parallel & distributed programming, Business Intelligence, Cybersecurity, Chaotic Signal Processing, Advanced Machine Learning. Research: Researching in mental health, with the use of mobile apps and machine learning techniques, to reduce the suicide rate amongst US army veterans.
Motor imagery-based Brain-Computer Interfaces (BCI) and covert attention-based BCIs. The use of techniques, such as machine learning to classify motor imagery and predict the focus of attention for communication. BSc. in Computer Engineering, Dec 2011 Obafemi Awolowo University, Ile-Ife, Nigeria. 2 nd class Upper Division Courses: Object-oriented programming, Data structures, Statistics for engineers, Databases.
Built a Billing Data Aggregator iOS app, using Swift, for creation of invoices, payment of a due amount, and viewing other client information. ? Added features needed to the company’s legacy validation apps for organizations including MasterCard and the Nigerian Postal Service. The Android validation apps were used to verify POS terminals in Nigeria. ? Further developed the incomplete Trips.ng mobile app for launch. The app was built for handling corporate bookings of flights, hotels, and cabs. Researched data science tools and techniques, preliminary use of the ELK stack; setting up of last alerts, to monitor incoming data.
Machine learning, Deep learning, Big data, and Data Analytics, Brain-Computer Interfaces, Blockchain