Carnegie Mellon University in Qatar (CMU-Q) recent Computer Science graduate Abrar Abir and Information Systems student Marnilla Metwaly have published a peer-reviewed study in the academic journal Results in Chemistry. The research originated as a class project in “Nanotechnology in Context,” an interdisciplinary science elective developed and taught by Nimer Murshid, associate teaching professor of chemistry.
As part of the course’s research-based assessment, students develop scientific proposals and research projects, with the opportunity to continue their work toward publication after the course ends. Under Murshid’s continued mentorship, the students extended their project beyond the course curriculum to bring the work to formal publication. This is the second time Murshid taught the course, and the second time a student project was further developed and published in a peer-reviewed journal.
The paper is titled “Data-driven framework for analyzing gas sensor performance using principal component analysis and clustering,” and introduces a framework to resolve long-standing reporting inconsistencies across gas-sensor literature. Applying principal component analysis and DBSCAN clustering to evaluate performance across five toxic and reactive gases, the authors standardized 91 sensor datasets into an interpretable multivariate model. The resulting framework enables reproducible cross-study benchmarking to support sensor design in environmental monitoring, industrial safety, and healthcare diagnostics.
CMU-Q is a Qatar Foundation partner university.
