Fahad Saeed
Orcid: 0000-0002-3410-9552
According to our database1,
Fahad Saeed
authored at least 72 papers
between 2008 and 2023.
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Bibliography
2023
Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data.
Neuroinformatics, October, 2023
Bioinform., 2023
Q-CASA Invited Speakers Quantum-Centric Supercomputing Strategies for Neuroscience problems: Challenges and Progress.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Computational Biology 34, Springer, ISBN: 978-3-031-01959-3, 2022
Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data.
J. Parallel Distributed Comput., 2022
Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions.
IEEE Access, 2022
Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets.
IEEE Trans. Big Data, 2021
Smart delivery and retrieval of swab collection kit for COVID-19 test using autonomous Unmanned Aerial Vehicles.
Phys. Commun., 2021
Benchmarking mass spectrometry based proteomics algorithms using a simulated database.
Netw. Model. Anal. Health Informatics Bioinform., 2021
High performance computing framework for tera-scale database search of mass spectrometry data.
Nat. Comput. Sci., 2021
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data.
Frontiers Comput. Neurosci., 2021
HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data.
CoRR, 2021
Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey.
IEEE Access, 2021
TurboBFS: GPU Based Breadth-First Search (BFS) Algorithms in the Language of Linear Algebra.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021
TurboBC: A Memory Efficient and Scalable GPU Based Betweenness Centrality Algorithm in the Language of Linear Algebra.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021
Simulation Testbed for Evaluating Distributed Querying and Searching of Mass Spectrometry Big Data in a Network-based Infrastructure.
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021
Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey.
Frontiers Neuroinformatics, 2020
Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data.
CoRR, 2020
Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data.
CoRR, 2020
IEEE Access, 2020
2019
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data.
Frontiers Neuroinformatics, 2019
LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry Based Proteomics.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
GPU-DFC: A GPU-Based Parallel Algorithm for Computing Dynamic-Functional Connectivity of Big fMRI Data.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019
GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Efficient Shared Peak Counting in Database Peptide Search Using Compact Data Structure for Fragment-Ion Index.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Auto-ASD-Network: A Technique Based on Deep Learning and Support Vector Machines for Diagnosing Autism Spectrum Disorder using fMRI Data.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data.
Comput. Biol. Medicine, 2018
Proceedings of the Advances in Network-Based Information Systems, 2018
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018
Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018
2017
A Hybrid MPI-OpenMP Strategy to Speedup the Compression of Big Next-Generation Sequencing Datasets.
IEEE Trans. Parallel Distributed Syst., 2017
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017
Scalable data structure to compress next-generation sequencing files and its application to compressive genomics.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
An Out-of-Core GPU based Dimensionality Reduction Algorithm for Big Mass Spectrometry Data and Its Application in Bottom-up Proteomics.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017
2016
Introduction to the selected papers from the 7th International Conference on Bioinformatics and Computational Biology (BICoB 2015).
J. Bioinform. Comput. Biol., 2016
MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing.
Bioinform., 2016
Proceedings of the Wired/Wireless Internet Communications, 2016
Proceedings of the Wired/Wireless Internet Communications, 2016
Proceedings of the International Conference on High Performance Computing & Simulation, 2016
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016
2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Big data proteogenomics and high performance computing: Challenges and opportunities.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures.
Netw. Model. Anal. Health Informatics Bioinform., 2014
2013
Foreword to the Special Issue on Selected Papers from the 5th International Conference on Bioinformatics and Computational Biology (Bicob 2013).
J. Bioinform. Comput. Biol., 2013
A high performance algorithm for clustering of large-scale protein mass spectrometry data using multi-core architectures.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
2012
A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes.
J. Parallel Distributed Comput., 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
An efficient dynamic programming algorithm for phosphorylation site assignment of large-scale mass spectrometry data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
High performance phosphorylation site assignment algorithm for mass spectrometry data using multicore systems.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
Mining Temporal Patterns from iTRAQ Mass Spectrometry(LC-MS/MS) Data.
Proceedings of the ISCA 3rd International Conference on Bioinformatics and Computational Biology, 2011
2009
A domain decomposition strategy for alignment of multiple biological sequences on multiprocessor platforms.
J. Parallel Distributed Comput., 2009
Pyro-Align: Sample-Align based Multiple Alignment system for Pyrosequencing Reads of Large Number
CoRR, 2009
Proceedings of the Bioinformatics and Computational Biology, 2009
2008
Sample-Align-D: A high performance Multiple Sequence Alignment system using phylogenetic sampling and domain decomposition.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008