Computer Science Department Public Lecture: Designing Reliable Software Systems for Digital Health

Please join us for the following research presentation by a candidate for the faculty position in the Department of Computer Science.

Presenter: Dr. Yasin Mamatjan Maimaitijiang
Research Talk: Designing Reliable Software Systems for Digital Health: From Heterogeneous Data to Real-World Impact

Abstract: The integration of artificial intelligence (AI) with advanced software engineering is transforming healthcare through the creation of innovative tools for disease diagnosis, patient management, treatment planning, and personalized health coaching. However, many current approaches remain difficult to translate into clinical practice because they lack transparency, reproducibility, clinical validation, and effective human oversight.
This research talk presents a software systems perspective on digital medicine that focuses on the design of scalable, interpretable, and human-centred platforms for clinical decision support for patient monitoring and cancer diagnosis. The work bridges data-intensive computing, multimodal integration, risk prediction, and workflow-aware system design. Through examples in patient monitoring, cancer diagnostics, and risk interpretation, the talk highlights how practical software systems can transform heterogeneous health data into effective tools for clinicians and patients.
Future healthcare systems are increasingly rely on reliable software systems that can further integrate medical imaging, genomic, and patient-generated data into meaningful decision support. Thus, my main research has been transiting from isolated prediction models toward integrative, explainable, intelligent deployable systems that can be used in practical settings, while this also could provide broader graduate research opportunities, hospital and industry collaborations, and applied computer science innovations.


For the Zoom link, please contact grad.compsci@lakeheadu.ca