Proteomics and Neuroscience with High Performance Data Analytics and Machine-Learning
Fahad Saeed - FIU
Time: 9:00AM Tuesday March 22 2022 {US Central daylight saving time}
Big Omics (Genomics, Proteomics, Connectomics) aims to solve grand challenges in medicine such as: detecting and preventing disease in human populations; diagnosing and characterizing mental disorders; search for personalized medicine treatments; and lastly improving the overall health of human population. Unlike traditional applications in computational science and engineering, solving these big data omics problems at scale (and accuracy) often raises new challenges because of the sparsity and missing data, the need for research on scalable algorithms and architectures, and development of machine-learning framework that can make sense of the complex data sets for improved predictions and deductions. In this keynote talk, Saeed will discuss the opportunities in developing high performance computing solutions and machine-learning models for efficient, and timely computations. He will also discuss the progress that we have made, and the lesson learned in massive omics data science especially in proteomics, and neuroscience.
Saeed's Biography:
Fahad Saeed is Associate Professor in the School of Computing and Information Sciences at Florida International University (FIU), Miami FL. His research interests are at the intersection of machine-learning, high performance computing and real-world applications, especially in computational biology.
Dr. Saeed has published 80+ peer-reviewed research papers in leading proceedings and journals, 1 Book Chapter, edited 4 Conference Proceedings, and 3 special issue journals. He is the recipient of NSF Research Initiation Initiative (CRII) Award, and NSF CAREER award. His research has been supported by WMU, NVIDIA, Xilinx, Intel/Altera, National Science Foundation (NSF) and National Institutes of Health (NIH). Dr. Saeed is a Senior Member of ACM and also a Senior Member of IEEE. His honors include ThinkSwiss Fellowship (2007,2008), NIH Postdoctoral Fellowship Award (2010), Fellows Award for Research Excellence (FARE) at NIH (2012), NSF CRII Award (2015), WMU Outstanding New Researcher Award (2016), WMU Distinguished Research and Creative Scholarship Award (2018), NSF CAREER Award (2017), and FIU SCIS Excellence in Applied Research Award (2020).---
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