Jialu Ma Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Little Rock
faculty
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Biography and Research Information
OverviewAI-generated summary
Jialu Ma's research investigates the intersection of materials science, engineering, and computational methods. His work includes the characterization of liquid sample permittivity using split-ring resonators and the development of machine learning models to predict the rheological properties of cement-based materials. Ma has also explored the use of cerium oxide stabilized by tourmaline as a filler to enhance proton exchange membranes, aiming to improve conductivity and durability. His research extends to structural engineering, with studies on the impact behavior of panels incorporating hybrid energy-absorbing components, utilizing both experimental and analytical approaches.
Further contributions include computational simulations of calcium ion channel regulation by terahertz fields and the optimization of unmanned aerial vehicles for wildfire response using ant colony algorithms. Ma also engages in biomedical research, applying single-cell transcriptome analysis to characterize therapeutic responses in chronic myeloid leukemia and to identify key regulators in lung adenocarcinoma progression. He has collaborated with researchers such as Mary Qu Yang and John Talburt at the University of Arkansas at Little Rock.
Metrics
- h-index: 8
- Publications: 39
- Citations: 224
Selected Publications
- Single-Cell Transcriptomic Analysis Unveils Key Regulators and Signaling Pathways in Lung Adenocarcinoma Progression (2025) DOI
- A Deep Learning-Based Model for Gene Regulatory Network Inference (2023) DOI
- Integrating Single-Cell Transcriptome and Network Analysis to Characterize the Therapeutic Response of Chronic Myeloid Leukemia (2022) DOI
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