Funding

Since 2015 I have been awarded over US $ 2.1 million as a PI with US$ 2.3 million overall in external funds. Intramural funds and equipment allocations are not included in this total. 

Our research, so far, has been supported by the following federal agencies and Institutes: 

                  

Funded External Grants

  1. National Institutes of Health (NIH) R01GM134384 [US$ 965,874], "Multimodal Machine-Learning and High Performance Computing Strategies for Big MS Proteomics Data", Fahad Saeed (PI) with Shu-Ching Chen (Co-Investigator), Jason Liu (Co-Investigator), Francisco Alberto Fernandez-Lima (Co-Investigator), and Sitharama Iyengar (Senior Personal), June 2020 - May 2023
  2. National Science Foundation (NSF) CCF-1855441  [US$ 7,708], "CRII: SHF: HPC Solutions to Big NGS Data Compression", Fahad Saeed (PI), Sept 2018 - Jan 31, 2020
  3. National Science Foundation (NSF) OAC-1925960 [US$ 415,950], “CAREER: Towards Fast and Scalable Algorithms for Big Proteogenomics Data Analytics”, Fahad Saeed (PI), Sept 2018-April 2022
  4. National Science Foundation (NSF) ACI-1651724 [US$ 499,999], “CAREER: Towards Fast and Scalable Algorithms for Big Proteogenomics Data Analytics”, Fahad Saeed (PI), April 2017-April 2019
  5. National Institutes of Health (NIH) R15GM120820 [US$ 418,533], “Parallel Algorithms for Big Data from Mass Spectrometry based Proteomics”, Fahad Saeed (PI), April 2017 - April 2020 
  6. National Science Foundation (NSF) REU Supplement [US$ 16,000], “CRII: SHF: HPC Solutions to Big NGS Data Compression”, Fahad Saeed (PI), Feb 2016 - Feb 2018
  7. National Science Foundation (NSF) CCF-1464268 [US$ 171,341], “CRII: SHF: HPC Solutions to Big NGS Data Compression”, Fahad Saeed (PI), (Feb 2015 - Feb 2018
  8. National Science Foundation (NSF) CNS-1250264 [US$ 200,000], “EAGER: High Performance Algorithms and Implementations for Biological Sequence Analysis and Genome Alignment”, Ashfaq Khokhar, Fahad Saeed (Co-PI) (Sept 2012 - Aug 2015)
Equipment/Computing Allocations
  1. National Science Foundation XSEDE ASC200004  [100,000.0 Service Units (SU)/10,000.0 GB SDSC Medium-term disk storage (Data Oasis)/5,000.0 GPU Hours: US$ 6,190]}, "DeepSNAP: Scalable Machine Learning for Mass Spectrometry based Proteomics", Fahad Saeed (PI), (March 2020 - Sept 2020)
  2. Intel Altera [US$ 7,900], "MS proteomics analysis using reconfigurable hardware", Fahad Saeed(PI) (Equipment Grant, DE10-PRO-SX FPGA), Nov 2019
  3. National Science Foundation XSEDE supplemental grant TG-CCR150017 [30,000 Service Units (SU)/6TB SDSC Disk Storage/2500 GPU Hours: US$ 450], "Smart Index and Search for De Novo Proteogenomics", Fahad Saeed (PI), (March 2019 - June 2020)
  4. National Science Foundation XSEDE renewal grant TG-CCR150017 [30,000 Service Units (SU)/6TB SDSC Disk Storage/2500 GPU Hours: US$ 3,159], "Smart Index and Search for De Novo Proteogenomics", Fahad Saeed (PI), (March 2019 - March 2020)
  5. NVIDIA [US$ 1149], “High Performance Algorithms for Big Data Proteomics”, Fahad Saeed (PI) (Equipment Grant for NVIDIA TITAN Xp GPU), August 2018
  6. National Science Foundation XSEDE renewal grant TG-CCR150017 [30,000 Service Units (SU)/6TB SDSC Disk Storage: US$ 6564], “A Distributed-Shared Memory Strategy to Speedup the Compression of Big Next-Generation Sequencing Datasets”, Fahad Saeed (PI)(June 2016 - June 2018)
  7. National Science Foundation XSEDE startup grant TG-CCR150017 [30,000 Service Units (SU)], “Scalability study of compression algorithms for peta scale NGS data”, Fahad Saeed (PI), (June 2015 - June 2016)
  8. Intel Altera [US$ 16,000], “Short Reads mapping to the genome using reconfigurable hardware”, Fahad Saeed(PI) (Equipment Grant, 2 DE5-NET-450 FPGA’s), April 2014
  9. NVIDIA [US$ 5499], “High Performance Algorithms for Genome Alignments”, Fahad Saeed (PI) (Equipment Grant for Tesla K40 GPU), Feb 2014
Funded Intramural Grants
  1. Office of Vice President of Research,Western Michigan University (WMU) [US$ 129,570]“Scalable Algorithms for Big Proteogenomics Data Analytics”, Fahad Saeed (PI), April 2017 - April 2020
  2. College and Engineering and Applied Science (CEAS), Western Michigan University (WMU) [US$ 41,650], “Developing HPC solutions to big fMRI data”, Fahad Saeed (PI), April 2017 - June 2018
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