Artificial Intelligence, Data Science & Machine Learning
Ananda Mondal (PI) The primary objective of this research is to investigate and analyze the complex phenomena of disease progression at the protein network level using three graph theoretic concepts – clique, bipartite graph, and diffusion kernel. Computational studies of…
Fahad Saeed (PI) Database peptide search algorithms deduce peptides from mass spectrometry data. There has been substantial effort in improving their computational efficiency to achieve larger and more complex systems biology studies. However, modern serial and high-performance computing (HPC) algorithms…
Fahad Saeed (PI) Historically, there have been two contrasting approaches for inferring peptides from mass-spectrometry data, i.e., de novo sequencing and database searching. The de novo approach tries to transform spectral space into peptide space by predicting individual amino acids…
Fahad Saeed (PI) It is widely known that defining and diagnosing mental disorders is a difficult process due to overlapping nature of symptoms, and lack of a biological test that can serve as a definite and quantified gold standard. Mental…
Giri Narasimhan (PI) Cross-reactive immunity is a process by which an individual who was vaccinated by an unrelated vaccine or who has recovered from an infection from an unconnected pathogen in the past is seemingly protected against an infection by…
Raju Rangaswami(PI), Jason Liu(Co-PI), Giri Narasimhan (Co-PI) Caching has been a consistent tool of designers of high-performance, scalable computing systems, but it has been deployed in so many ways that it can be difficult to standardize and scale in cloud…
Giri Narasimhan (Co-PI) The Advanced Cyberinfrastructure Training for Policy Informatics (ACIT-PI) is an interdisciplinary program for Cyberinfrastructure training to policy scientists. The project is important and significant because policy scientists seek data-enabled scientific techniques, which requires training in advanced Cyberinfrastructure…
Giri Narasimhan (Site-PI) This project establishes the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE). In today’s interconnected world, disasters such as floods and droughts are rarely isolated events, and their cascading effects are often felt far beyond…
Giri Narasimhan (PI) This project aims to develop, design, prototype and test a machine learning system that can be used to predict the likelihood of mycotoxin risk in US wines based on various climactic, pre-harvest, and post-harvest factors. Mycotoxins are…
Amin Kharraz (PI) Social engineering attacks continue to remain a top security threat. The impact of these attacks is often deep and consequential. Modern social engineering attacks have evolved to deliver different classes of malicious code while collecting extensive financial…
