DARWIN Symposium 2022 Posters
iCetus: A Semi-automatic Parallel Programming Assistant
Parinaz Barakshan (she/her/hers, PhD Student, UD)
Classification and Denoising of Cosmic-Ray Radio Signals using Deep Learning
Abdul Rehman (he/him/his, PhD Student, UD)
Deep-learning in situ classification of HIV-1 virion morphology
Juan S. Rey (he/him/his, PhD Student, UD)
DECARD, a Distributed Runtime for Heterogeneous Architectures
Diego Roa (he/him/his, PhD Student, UD)
The impact of phosphorylation modulation in the binding of NLS peptides to importin-alpha
Hamed Meshkin (he/him/his, Postdoc, UD)
Improving low allelic variant detection using error corrected sequencing coupled with a binomial error rate
Karl Franke (he/him/his, External Collaborator, Nemours)
Exploring networks in resting-state fMRI using voxel-to-voxel causal modeling feature selection
Hassan Baker (unspecified, PhD Student, UD)
The Molecular Determinants of Membrane Viscosity
James Fitzgerald (he/him/his, PhD Student, UD)
Bacillus Subtilis an alternatives to antibiotics in controlling Necrotic Enteritis in broilers
Shweta Ghimire (she/her/hers, Master’s Student, UD)
Machine learning approaches for drug response predictive models
Vineeth Gutta (he/him/his, PhD Student, UD)
AMBERff at scale: Multimillion-atom simulations with AMBER force fields in NAMD
Peter Jones (he/him/his, Master’s Student, UD)
Effect of Allosteric Inhibitors on the Integrase Conformation Probed by All-Atom Simulations
Lev Levintov (he/him/his, Postdoc, UD)
Toward modeling flocculation in turbulence-resolving simulations for cohesive sediment transport
Jorge Penaloza-Giraldo (he/him/his, PhD Student, UD)
Intensity Correlation Analysis of Ficoll Raman Spectra `
Yahira Rivera (she/her/hers, Undergrad, Delaware State University)
Measuring the Impact of Automatic Program Parallelization Techniques
Miguel Romero Rosas (he/him/his, PhD Student, UD)
Sampling Protein-lipid Interactions With Swarms of Trajectories and a Transition Matrix Analysis
Liam Sharp (he/him/his, Postdoc, UD)
Large-Eddy Simulation of Cross-Shore Hydrodynamics under Random Waves in the Surf and Swash Zones
Benjamin Tsai (he/him/his, PhD Student, UD)
Accelerating COVID-19 Research With Graph Mining and Transformer-based Learning
Ilya Tyagin (he/him/his, PhD Student, UD)
Implementation of Shor’s Algorithm in Prime Factorization and Discrete Logarithms
Ryan Wiley (he/him/his, Master’s Student, Delaware State University)
Running PIC code on a small HPC cluster
Lianxin Xin (she/her/hers, PhD Student, Delaware State University)
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The Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.