A5006445265- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Graph theory and applications
- Model Reduction and Neural Networks
- COVID-19 epidemiological studies
- Advanced Graph Neural Networks
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Mathematical and Theoretical Epidemiology and Ecology Models
- SARS-CoV-2 detection and testing
- Explainable Artificial Intelligence (XAI)
- Optimization and Packing Problems
- SARS-CoV-2 and COVID-19 Research
- stochastic dynamics and bifurcation
- Advanced Statistical Methods and Models
- Housing Market and Economics
- Gene expression and cancer classification
- Meta-analysis and systematic reviews
- Bioinformatics and Genomic Networks
- Anomaly Detection Techniques and Applications
- Neural dynamics and brain function
- COVID-19 diagnosis using AI
- Statistical Methods in Clinical Trials
- Cancer Genomics and Diagnostics
- Network Traffic and Congestion Control
University of Virginia
2019-2024
Kansas State University
2016-2021
University of Calgary
2021
Amirkabir University of Technology
2012
Transient synchronization of bursting activity in neuronal networks, which occurs patterns metastable itinerant phase relationships between neurons, is a notable feature network dynamics observed vivo . However, the mechanisms that contribute to this dynamical complexity circuits are not well understood. Local cortical regions consist populations neurons with diverse intrinsic oscillatory features. In study, we numerically show phenomenon transient synchronization, also referred as...
Launching a prevention campaign to contain the spread of infection requires substantial financial investments; therefore, trade-off exists between suppressing epidemic and containing costs. Information exchange among individuals can occur as physical contacts (e.g., word mouth, gatherings), which provide inherent possibilities disease transmission, non-physical email, social networks), through information be transmitted but cannot transmitted. Contact network (CN) incorporates contacts,...
Background: Dengue is one of the most geographically significant mosquito-borne viral diseases transmitted by Aedes mosquitoes. During blood feeding, mosquito deposits salivary proteins that induce antibody responses. These can be related to intensity exposure bites. Some proteins, such as D7 are known potent allergens. The response used a marker evaluate risk and disease transmission, provide critical information for understanding dynamics vector-host interactions. Methods: study was...
Algebraic connectivity, the second eigenvalue of Laplacian matrix, is a measure node and link connectivity on networks. When studying interconnected networks it useful to consider multiplex model, where component operate together with inter-layer links among them. In order have well-connected multilayer structure, necessary optimally design these considering realistic constraints. this work, we solve problem finding an optimal weight distribution for one-to-one under budget constraint. We...
We study the structure of loops in networks using notion modulus loop families. introduce an alternate measure network clustering by quantifying richness families (simple) loops. Modulus tries to minimize expected overlap among spreading link usage optimally. propose weighting these usages improve classical community detection algorithms. show that proposed method enhances performance certain algorithms, such as spectral partitioning and modularity maximization heuristics, on standard benchmarks.
Using wastewater surveillance as a continuous pooled sampling technique has been in place many countries since the early stages of outbreak COVID-19. Since beginning outbreak, research works have emerged, studying different aspects viral SARS-CoV-2 DNA concentrations (viral load) and its potential an warning method. However, one questions that remained unanswered is quantitative relation between load clinical indicators such daily cases, deaths, hospitalizations. Few studies tried to couple...
ABSTRACT To assess phenotypic bacterial antimicrobial resistance (AMR) in different strata (e.g., host populations, environmental areas, manure, or sewage effluents) for epidemiological purposes, isolates of target bacteria can be obtained from a stratum using various sample types. Also, processing methods applied. The MIC each drug isolate is measured. Statistical equivalence testing the data allows evaluation whether types yield equivalent estimates susceptibility stratum. We demonstrate...
The aim of this study was to investigate the distribution, tolerance, and anticancer antiviral activity Zn-based physiometacomposites (PMCs). Manganese, iron, nickel cobalt-doped ZnO, ZnS or ZnSe were synthesized. Cell uptake, distribution into 3D culture mice, biochemical chemotherapeutic studied by fluorescence/bioluminescence, confocal microscopy, flow cytometry, viability, antitumor virus titer assays. Luminescence inductively coupled plasma mass spectrometry analysis showed that...
With everyone trying to enter the real estate market nowadays, knowing proper valuations for residential and commercial properties has become crucial. Past researchers have been known utilize static data (e.g, number of beds, baths, square footage) or even a combination demographic information predict property prices. In this investigation, we attempted improve upon past research. So decided explore unique approach - wanted determine if mobile location could be used predictive power popular...
We propose a fold change transform that demonstrates combination of visualization properties exhibited by log and linear plots change. A should ideally exhibit: (1) readability, where values are recoverable from datapoint position; (2) proportionality, the same direction proportionally distant point no change; (3) symmetry, positive negative changes magnitude equidistant to (4) high dynamic range, distinguishable across orders within fixed plot area pixel resolution. has readability partial...
Abstract The second smallest eigenvalue of the Laplacian matrix, known as algebraic connectivity, determines many network properties. This paper investigates optimal design interconnections that maximizes connectivity in multilayer networks. We identify an upper bound for maximum total weight below a threshold, independent pattern, and only attainable with particular regularity condition. For efficient numerical approaches regions no analytical solution, we cast problem into convex framework...
Electricity load forecasting is crucial for power grid optimization. This paper presents an interpretable machine learning approach that identifies dynamics using data-driven methods within operator-theoretic framework. We represent the data Koopman operator, which inherent to underlying dynamics. By computing corresponding eigenfunctions, we decompose into coherent spatiotemporal patterns are most robust features of Each pattern evolves independently according its single frequency, making...