Xuyang Shi

We study how auditory nerve responds to electrical stimulation using psychophysical measures and whether these factors can be used to improve speech recognition performance.

• A/B testing and lift models for anti biotic exposure for treatment effects like Temperature Change, time of exposure, electric current. • Reduced cost and time for PCR testing by utilizing casual inference techniques to reduce the sample size. • Developed efficient detection algorithms for the developed biosensors using methods like KL Divergence and Earth Mover Distance etc.

Testing the Biosensor platform with clinical (patient) blood samples. Experiment designer, Statistics; Independent (3rd party) validation training. • Developed Extreme multiclass classification using Deep Learning with Covariates for detecting multiple bacteria in a blood sample like E.Coli, Staphylococcus etc. • Developed co-founder free methods for deep learning to reduce the effects of human error from newly-trained personnel.

My research interests are related to the usage of nanomaterials or nanotechnologies in solving real-life problems like water security, food contamination, environmental monitoring, medical diagnostics and infection control, drug development, laboratory testing, and renewable energy.

During these 5 years of Ph.D. journey and work at Cleveland State University, I was trained to be a course instructor and knew how to significantly aid in preparing course materials and examinations and delivered recitation sessions, how to successfully mentor the students by understanding their objectives in taking the course and interacting with them at the right level of expertise during the office hours and have assured teaching experience for the Electrical and Computer courses.

Helping graduate student and doing research work

• Detected genetically mutated superbug by modifying the latent space in Variational Auto Encoders and Generative Adversarial Networks(GANs). • Identified the effect of cofounders from diverse population size and reduced their effect with the help of covariates. Using Nano-based particles as the substrate of the biosensor to build an ELISA sandwich bacteria detection platform, which specifically combines antigens and antibodies.

The current culture-based approach for the diagnosis of bloodstreams infection is incommensurate with timely treatment and curbing the prevalence of multi-drug resistant organisms (MDROs) due to its long time-to-result. Bloodstream infections typically involve extremely low (e.g., <10 colony-forming unit (CFU)/mL) bacterial concentrations that require a labor-intensive process and as much as 72 hours to yield a diagnosis. Here, we demonstrate a culture-free approach to achieve rapid diagnosis of bloodstream infections. An immuno-detection platform with intrinsic signal current amplification was developed for the ultrasensitive, rapid detection, identification (ID) and antibiotic susceptibility testing (AST) of infections. With its capability of monitoring short-term (1-2 hours) bacterial growth in blood, the platform is able to provide 84-minute simultaneous detection and ID in blood samples below the 10 CFU/mL level and 204-minute AST. The susceptible-intermediate-resistant AST capacity was demonstrated.

Alginate-Derived Oligosaccharide Inhibits Neuroinflammation and Promotes Microglial Phagocytosis of β-Amyloid

Anti-inflammatory Activity of Guluronate Oligosaccharides Obtained by Oxidative Degradation from Alginate in Lipopolysaccharide-Activated Murine Macrophage RAW 264.7 Cells

Application of marine oligosaccharides polyguluronate

• Automated ETL testing using set theory to detect the misjoins for data quality. • Utilized Alibaba Function Compute, EC2 and Datahub.

Identification of the pathogen fungi of spider lily leaf blight