Unleashing the Potential of AI and Deep Learning in Parkinson’s Biomarker Discovery - Team 2

Team 2 Harry Setiawan Hamjaya, Motunrayo Osatohanmen Ibiyo, Puja Dhakal, Shihabur Rahman Samrat

Unleashing the Potential of AI and Deep Learning in Parkinson’s Biomarker Discovery using Next Generation Proteomics Data

Pitching competition on research topics - Data intensive engineering 2023.

The objectives of this course are to give the students a real-life experience through a one-year hands-on project-based course. The course project is defined together either with academic and/or industrial partners. The tasks of the projects are carefully defined in small blocks conforming to each theoretical objective of our four courses on Data Science, Artificial Intelligence, Machine Learning and Embedded AI. These blocks cumulatively will form a well-designed real-life case study, from setting up the project to the theoretical research, and data processing to modelling and deployment.

Like last year, the team of students are competing to win their favourite 1-year project topic through a video and presentation competition. The students have gone through an intensive pitching training and now they share the result of their 2-week hard effort as a 3-min pitching video.