High-Performance Algorithms for Mass Spectrometry-Based Omics / Computational Biology (PDF)

2014 respectively. He received his PhD in the Department of Electrical and Computer Engineering, University of Illinois at Chicago (UIC) in 2010. He has served as a visiting scientist in world-renowned prestigious institutions such as Department of Bio-Systems Science and Engineering (D-BSSE), ETH Zürich, Swiss Institute of Bioinformatics (SIB) and Epithelial Systems Biology Laboratory (ESBL) at National Institutes of Health (NIH) Bethesda, Maryland.

Dr. Saeed has established a global profile as an Independent Researcher and leader in the field, and has been sought as panelist at the National and International funding agencies. These include serving as panelist at various study sections at National Institutes of Health (NIH), National Science Foundation (NSF), NIH NIDDK, National Nuclear Security Administration (NNSA) Department of Energy (DOE), and as International expert and panelist for Croatian Science Foundation (CSF), University of Queensland Diamantina Institute in Australia, Belgium Fund for Scientific Research (F.R.S.- FNRS), and Natural Sciences & Engineering Research Council of Canada. He has served as the program co-chair of the Bioinformatics and Computational Biology (BICoB) Conference and IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM). He is also a founding chair of IEEE Workshop on HPC solutions to Big Data Computational Biology (IEEE HPC-BCB). He also serves on the editorial board of Springer Journal of Network Modeling Analysis in Health Informatics and Bioinformatics, on the Editorial board of Journal of the American Society of Nephrology, and as Associate Editor for Frontiers of Digital Public Health (specialty section of Frontiersin Public Health, Frontiers in ICT and Frontiers in Computer Science). He has served on numerous IEEE/ACM program committees and is peer-reviewer for more than a two dozen journals.

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).

Muhammad Haseeb is a Ph.D. candidate at the Knight Foundation School of Computing and Information Sciences (KFSCIS), Florida International University (FIU). He is also a Graduate Research Assistant at the KFSCIS, FIU working under the supervision of Dr. Fahad Saeed. His doctoral research focuses on the design of novel high performance computing algorithms and techniques for scalable acceleration of computational proteomics analyses on supercomputing machines. Haseeb has worked as an Application Performance Intern at the National Energy Research and Scientific Computing Center (NERSC) at the Lawrence Berkeley National Lab (LBNL) where he developed software for platform-independent (+ Python) GPU-acceleration of ADEPT ExaBiome sequence alignment kernels. He also contributed towards the development of a modular HPC application instrumentation and performance analysis software called Timemory. Prior to his PhD career, Haseeb worked as a senior software engineer at Mentor Graphics Corporation where he contributed towards the development of tracing, profiling, system partitioning, remote processor life cycle management, and inter-processor communication software for MEMF and Nucleus OS.