Mst Moriom Rojy Momota is a Ph.D. candidate in the Department of Computer Science at Texas Tech University. She is currently working as a Graduate Research Assistant at the Cyber-Physical Systems (CPS) Lab under the supervision of Dr. Bashir Morshed. She completed her B.Sc. degree in Electronics and Telecommunication Engineering from Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh. Her research focuses on cyber-physical systems (CPS), flexible electronics, hardware-software co-design, edge computing, and machine learning. During her Ph.D., she received several prestigious awards, including the Carnegie R1 Doctoral Fellowship, the Best Paper Award at the IEEE EIT 2021, and the NSF Student Travel Award to attend the IEEE/ACM CHASE 2022 conference.
The healthcare system is rapidly advancing with Cyber-Physical-System (CPS) by integrating sensing, computation, communication, and control to monitor and control medical treatments. Although CPS established improvement in patient outcomes and healthcare delivery challenges still exist in reliable long-term physiological monitoring. To address these challenges, my research objectives focus on developing reliable, user-friendly, and economically viable solutions for interfacing and data reliability in CPS-based healthcare and connected communities. I developed flexible dry electrodes using inkjet printing (IJP) additive manufacturing that showed promising performance in long-term electrocardiogram monitoring, reusability, and comfortability in wearables. Moreover, I developed a Data Reliability Metric (DReM) using machine learning to estimate the reliability of data for cardiac monitoring where noise and artifacts can lead to misleading diagnoses. These results provide evidence for the potential applicability of IJP electronic components in flexible electronic devices such as body-worn sensors and highlight optimistic possibilities for future research in this field.