Fahad Saeed


Associate Professor (Tenured), Knight Foundation School of Computing and Information Sciences,
Associate Professor, Biomolecular Sciences Institute (BSI),
Associate Professor, Herbert Wertheim School of Medicine,
Florida International University (FIU), Miami FL USA
Director:Saeed Lab (Parallel Computing and Data Science Group)
Founder & CEO: AI-NeoTech LLC

Mailing Address: 11200 SW 8th St, Room CASE 261, Miami, FL 33199
E-mail: fsaeed@fiu.edu Twitter: @Prof_FahadSaeed
Phone: +1-305-348-3131 Office: CASE 261
Long CV (pdf)
Google Scholar Profile
(Last updated April 5th 2022)

Page Contents: Media Coverage Honors Publications Funding Research Prospective Students Bio Sketch


Recent Media Coverage

  • "NIH Awards FIU $1M to Develop Machine Learning Algorithms to Study Proteins", HPC Wire, June 2020 Article Link
  • "FIU researchers think of a way to speed up a vaccine for COVID-19", Miami Herald, June 2020 Article Link
  • "Research Grant Helps FIU Professor Reach One Step Closer To Coronavirus Vaccine", FIU PantherNow, July 2020 Article Link
  • "NIH awards FIU $1M to develop machine-learning algorithms to study proteins – important for understanding, treating diseases", FIU News, June 2020 Article Link
  • "Dr. Saeed awarded prestigious $1 Million R01 grant from National Institute of Health", SCIS FIU News, May 2020 Article Link
  • Distinguished Research and Creative Scholarship Award: Fahad Saeed",OVPR WMU, March 2018 Description YouTube
  • Algorithms for Life, WMU Annual Magazine, Summer 2017
  • Rising Stars in Research, WMU Annual Magazine, Summer 2017
  • Researchers Snag a prestigious National Prize, WMU News Link, 2017
  • WMU Assistant Professor receives NSF CAREER Award, CEAS WMU Article Link
  • Surfing with Algorithms, NSF Science Node, March 2016
  • Working with Powerful Supercomputers, WMU CEAS News, July 2015

    Recent Honors

  • Associate Editor, Experimental Results, Cambirdge University Press, April 2022 Editorial Board Page
  • Keynote Speaker at the 14th International Conference on Bioinformatics and Computational Biology (BICOB). More info here: BiCOB-2022
  • Excellence in Applied Research Award, School of Computing and Information Science (SCIS), Florida International University (FIU), Dec 2020
  • Distinguished Research and Creative Scholarship Award, Office of Vice President of Research WMU, Feb 2018
  • NSF CAREER Award, 2017-2022
  • Highest Funding Award in a year for computer scientist, WMU 2017
  • ACM Senior Member, May 2017
  • Outstanding New Researcher Award}, College of Engineering and Applied Science (CEAS), Western Michigan University, Jan 2016 (1 faculty member gets the award in a single year for the entire college consisting of 7 academic departments)
  • IEEE Senior Member, March 2015
  • NSF CISE Research Initiation Initiative (CRII) Award, Feb 2015 - Feb 2018
  • Fellows Award for Research Excellence (FARE), National Institutes of Health (NIH), June 2012 (Official award ceremony and US\$1000 travel grant)
  • Travel award from Swiss Institute of Bioinformatics (SIB), Summers 2009.
  • UIC Graduate Student Council (GSC) travel award for the BiCoB April 2009.
  • Recipient of Think Swiss Scholarship, by the Government of Switzerland for two years (2007 and 2008).
  • Travel award from D-BSSE ETH Zurich, Summers 2008.

    Publications and Software/Code

  • All my publications are available on this page: Publications.
  • A similar list is also available on my lab webpage: Publications Lab Webpage. Another way to get a list of my publications is via Google Scholar: Google Scholar Profile
  • Most of the code that we develop can be found listed at our Lab Software Page
  • We also maintain a very healthy GitHub page at Github Page

    Current Research Thrusts

    The focus of my research is at the intersection of computational biology, big data, and machine-learning. I am interested in devleoping machine-learning models for neuroscience and proteomics problems. I am also interested in designing and developing high-performance computing (HPC) algorithms for scientific problems. With my extensive experience working in interdisciplinary research I use novel ways to dealing with big data and domain specific knowledge and AI models including machine-learning and deep-learning algorithms.
  • Machine-Learning Models for typical and a-typical brains using MRI data sets
  • Machine-Learning Models for Mass Spectrometry based omics data sets
  • High performance computing algorithms for big data from MS based omics
  • Hardware/Software co-design for large scale omics
  • Development of Network analysis methods for Scientific Data.

    Information for Prospective Students/Postdocs/VisitingScholars

    We are always seeking creative people with solid analytical capabilities, versatile computational skills applicable to parallel computing, machine learning, and computational biology. Our group is committed to conducting research in computational, data, and engineering sciences in the context of biomedical, clinical, and public health disciplines and applying this knowledge to support the nation’s leading health initiatives. I am always looking for bright, hardworking PhD students to join my group. If you are seeking a research career in machine learning, data mining, high-performance computing, bioinformatics and related areas, and you have a strong background in mathematics and programming, please read my Prospective PhD Student Page Similarly if you are looking for a postdoctoral position or are interested in short term visiting faculty, please read Prospective Postdoc or Visiting Faculty Page

    Current and Former Students and Staff

    We have a track record of mentoring students in attaining high impact positions including but not limited to Staff Scientists positions at UC Berkeley, Tenure-track position in Kennesaw State University and Kalamazoo College, as well as datascientists in industrial research positions. A list of current and former students in my group can be found at this link: Current and Former Group Members