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ORCIDFahad Saeed
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2020 – today
- 2024
[c45]Umair Mohammad, Fahad Saeed:
Robustness of ML-Based Seizure Prediction Using Noisy EEG Data From Limited Channels. DCOSS-IoT 2024: 620-626- [c44]Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed:
Pvtad: Alzheimer's Disease Diagnosis Using Pyramid Vision Transformer Applied to White Matter of T1-Weighted Structural Mri Data. ISBI 2024: 1-4 - 2023
- [j23]Mohammad Al Olaimat
, Jared Martinez, Fahad Saeed, Serdar Bozdag:
PPAD: a deep learning architecture to predict progression of Alzheimer's disease. Bioinform. 39(Supplement-1): 149-157 (2023) - [j22]Oswaldo Artiles, Zeina Al Masry, Fahad Saeed:
Confounding Effects on the Performance of Machine Learning Analysis of Static Functional Connectivity Computed from rs-fMRI Multi-site Data. Neuroinformatics 21(4): 651-668 (2023) - [c43]Fahad Almuqhim, Fahad Saeed:
ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular Field. BIBM 2023: 2837-2843 - [c42]Umair Mohammad, Fahad Saeed:
Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study. BIBM 2023: 3313-3320 - [c41]Robert Loredo, Fahad Saeed:
Q-CASA Invited Speakers Quantum-Centric Supercomputing Strategies for Neuroscience problems: Challenges and Progress. IPDPS Workshops 2023: 499 - 2022
- [b1]Fahad Saeed, Muhammad Haseeb, Sumesh Kumar:
High-Performance Algorithms for Mass Spectrometry-Based Omics. Computational Biology 34, Springer 2022, ISBN 978-3-031-01959-3, pp. 1-129 - [j21]Mohammed Aledhari, Rehma Razzak, Basheer Qolomany, Ala I. Al-Fuqaha, Fahad Saeed:
Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions. IEEE Access 10: 31306-31339 (2022) - [j20]Fahad Saeed, Muhammad Haseeb, S. S. Iyengar:
Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data. J. Parallel Distributed Comput. 161: 37-47 (2022) - [c40]Umair Mohammad, Fahad Saeed:
SPERTL: Epileptic Seizure Prediction using EEG with ResNets and Transfer Learning. BHI 2022: 1-5 - [c39]Tianren Yang, Mai A. Al-Duailij, Serdar Bozdag, Fahad Saeed:
Classification of Autism Spectrum Disorder Using rs-fMRI data and Graph Convolutional Networks. IEEE Big Data 2022: 3131-3138 - 2021
- [j19]Muhammad Usman Tariq, Muhammad Haseeb, Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed:
Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey. IEEE Access 9: 5497-5516 (2021) - [j18]Fahad Almuqhim, Fahad Saeed:
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data. Frontiers Comput. Neurosci. 15: 654315 (2021) - [j17]Muhammad Haseeb, Fahad Saeed:
High performance computing framework for tera-scale database search of mass spectrometry data. Nat. Comput. Sci. 1(8): 550-561 (2021) - [j16]Muaaz Gul Awan, Abdullah Gul Awan, Fahad Saeed:
Benchmarking mass spectrometry based proteomics algorithms using a simulated database. Netw. Model. Anal. Health Informatics Bioinform. 10(1): 23 (2021) - [j15]Fahad Saeed, Amjad Mehmood, Muhammad Faran Majeed, Carsten Maple, Khalid Saeed, Muhammad Kashif Khattak, Huihui Wang, Gregory Epiphaniou:
Smart delivery and retrieval of swab collection kit for COVID-19 test using autonomous Unmanned Aerial Vehicles. Phys. Commun. 48: 101373 (2021) - [j14]Mohammed Aledhari, Marianne Di Pierro, Mohamed Hefeida, Fahad Saeed:
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets. IEEE Trans. Big Data 7(2): 271-284 (2021) - [c38]Umair Mohammad, Fahad Saeed:
Search feasibility in distributed MS-proteomics big data. BCB 2021: 85:1 - [c37]Sumesh Kumar, Fahad Saeed:
Real-time peptide identification from high-throughput mass-spectrometry data. BCB 2021: 86:1 - [c36]Khandaker Mamun Ahmed, Taban Eslami, Fahad Saeed, M. Hadi Amini:
DeepCOVIDNet: Deep Convolutional Neural Network for COVID-19 Detection from Chest Radiographic Images. BIBM 2021: 1703-1710 - [c35]Oswaldo Artiles, Fahad Saeed:
A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis. BIBM 2021: 3526-3531 - [c34]Muhammad Usman Tariq, Dennys Leyvay, Francisco Alberto Fernandez Limaz, Fahad Saeed:
Graph Theoretic Approach for the Analysis of Comprehensive Mass-Spectrometry (MS/MS) Data of Dissolved Organic Matter. BIBM 2021: 3742-3746 - [c33]Umair Mohammad, Fahad Saeed:
Simulation Testbed for Evaluating Distributed Querying and Searching of Mass Spectrometry Big Data in a Network-based Infrastructure. BigDataService 2021: 137-142 - [c32]Sumesh Kumar, Fahad Saeed:
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification. FPL 2021: 99-103 - [c31]Oswaldo Artiles, Fahad Saeed:
TurboBC: A Memory Efficient and Scalable GPU Based Betweenness Centrality Algorithm in the Language of Linear Algebra. ICPP Workshops 2021: 10:1-10:10 - [c30]Oswaldo Artiles, Fahad Saeed:
TurboBFS: GPU Based Breadth-First Search (BFS) Algorithms in the Language of Linear Algebra. IPDPS Workshops 2021: 520-528 - [i11]Muhammad Haseeb, Fahad Saeed:
HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data. CoRR abs/2102.02286 (2021) - [i10]Sumesh Kumar, Fahad Saeed:
Communication-avoiding micro-architecture to compute Xcorr scores for peptide identification. CoRR abs/2108.00147 (2021) - 2020
- [j13]Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed:
Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Access 8: 140699-140725 (2020) - [j12]Taban Eslami, Fahad Almuqhim, Joseph S. Raiker, Fahad Saeed:
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey. Frontiers Neuroinformatics 14: 575999 (2020) - [i9]Taban Eslami, Joseph S. Raiker, Fahad Saeed:
Explainable and Scalable Machine-Learning Algorithms for Detection of Autism Spectrum Disorder using fMRI Data. CoRR abs/2003.01541 (2020) - [i8]Fahad Saeed:
Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data. CoRR abs/2009.14123 (2020)
2010 – 2019
- 2019
- [j11]Taban Eslami, Vahid Mirjalili, Alvis Cheuk M. Fong, Angela R. Laird, Fahad Saeed:
ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data. Frontiers Neuroinformatics 13: 70 (2019) - [c29]Taban Eslami, Fahad Saeed:
Auto-ASD-Network: A Technique Based on Deep Learning and Support Vector Machines for Diagnosing Autism Spectrum Disorder using fMRI Data. BCB 2019: 646-651 - [c28]Muhammad Haseeb, Fahad Saeed:
Efficient Shared Peak Counting in Database Peptide Search Using Compact Data Structure for Fragment-Ion Index. BIBM 2019: 275-278 - [c27]Mohammed Aledhari, Shelby Joji, Mohamed Hefeida, Fahad Saeed:
Optimized CNN-based Diagnosis System to Detect the Pneumonia from Chest Radiographs. BIBM 2019: 2405-2412 - [c26]Oswaldo Artiles, Fahad Saeed:
GPU-SFFT: A GPU based parallel algorithm for computing the Sparse Fast Fourier Transform (SFFT) of k-sparse signals. IEEE BigData 2019: 3303-3311 - [c25]Taban Eslami, Fahad Saeed:
GPU-DFC: A GPU-Based Parallel Algorithm for Computing Dynamic-Functional Connectivity of Big fMRI Data. BigDataService 2019: 114-121 - [c24]Muhammad Haseeb, Fatima Afzali, Fahad Saeed:
LBE: A Computational Load Balancing Algorithm for Speeding up Parallel Peptide Search in Mass-Spectrometry Based Proteomics. IPDPS Workshops 2019: 191-198 - [i7]Taban Eslami, Vahid Mirjalili, Alvis Cheuk M. Fong, Angela R. Laird, Fahad Saeed:
ASD-DiagNet: A hybrid learning approach for detection of Autism Spectrum Disorder using fMRI data. CoRR abs/1904.07577 (2019) - 2018
- [j10]Muaaz Gul Awan, Taban Eslami, Fahad Saeed:
GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data. Comput. Biol. Medicine 101: 163-173 (2018) - [c23]Mohammed Aledhari, Marianne Di Pierro, Fahad Saeed:
A Fourier-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets. BigData Congress 2018: 128-134 - [c22]Muhammad Usman Tariq, Fahad Saeed:
Parallel Sampling-Pipeline for Indefinite Stream of Heterogeneous Graphs using OpenCL for FPGAs. IEEE BigData 2018: 4752-4761 - [c21]Taban Eslami, Fahad Saeed:
Similarity based classification of ADHD using singular value decomposition. CF 2018: 19-25 - [c20]Mubashar Mehmood, Nadeem Javaid, Junaid Akram, Sadam Hussain Abbasi, Abdul Rahman, Fahad Saeed:
Efficient Resource Distribution in Cloud and Fog Computing. NBiS 2018: 209-221 - 2017
- [j9]Sandino Vargas Perez, Fahad Saeed:
A Hybrid MPI-OpenMP Strategy to Speedup the Compression of Big Next-Generation Sequencing Datasets. IEEE Trans. Parallel Distributed Syst. 28(10): 2760-2769 (2017) - [c19]Muaaz Gul Awan, Fahad Saeed:
An Out-of-Core GPU based Dimensionality Reduction Algorithm for Big Mass Spectrometry Data and Its Application in Bottom-up Proteomics. BCB 2017: 550-555 - [c18]Taban Eslami, Muaaz Gul Awan, Fahad Saeed:
GPU-PCC: A GPU Based Technique to Compute Pairwise Pearson's Correlation Coefficients for Big fMRI Data. BCB 2017: 723-728 - [c17]Sandino Vargas Perez, Fahad Saeed:
Scalable data structure to compress next-generation sequencing files and its application to compressive genomics. BIBM 2017: 1923-1928 - [c16]Mohammed Aledhari, Ali F. Marhoon, Ali Hamad, Fahad Saeed:
A New Cryptography Algorithm to Protect Cloud-Based Healthcare Services. CHASE 2017: 37-43 - [c15]Muhammad Usman Tariq, Umer I. Cheema, Fahad Saeed:
Power-efficient and highly scalable parallel graph sampling using FPGAs. ReConFig 2017: 1-6 - 2016
- [j8]Muaaz Gul Awan, Fahad Saeed:
MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing. Bioinform. 32(10): 1518-1526 (2016) - [j7]Fahad Saeed, Nurit Haspel, Hisham Al-Mubaid:
Introduction to the selected papers from the 7th International Conference on Bioinformatics and Computational Biology (BICoB 2015). J. Bioinform. Comput. Biol. 14(3): 1602002:1-1602002:3 (2016) - [c14]Muaaz Gul Awan, Fahad Saeed:
GPU-ArraySort: A Parallel, In-Place Algorithm for Sorting Large Number of Arrays. ICPP Workshops 2016: 78-87 - [c13]Majdi Maabreh, Ajay Gupta, Fahad Saeed:
A parallel peptide indexer and decoy generator for crux tide using OpenMP. HPCS 2016: 411-418 - [c12]Mohamed S. Hefeida, Fahad Saeed:
Data Aware Communication for Energy Harvesting Sensor Networks. WWIC 2016: 121-132 - [c11]Mohammed Aledhari, Mohamed S. Hefeida, Fahad Saeed:
A Variable-Length Network Encoding Protocol for Big Genomic Data. WWIC 2016: 212-224 - 2015
- [c10]Mohammed Aledhari, Fahad Saeed:
Design and Implementation of Network Transfer Protocol for Big Genomic Data. BigData Congress 2015: 281-288 - [c9]Fahad Saeed:
Big data proteogenomics and high performance computing: Challenges and opportunities. GlobalSIP 2015: 141-145 - [c8]Sandino Vargas Perez, Fahad Saeed:
A Parallel Algorithm for Compression of Big Next-Generation Sequencing Datasets. TrustCom/BigDataSE/ISPA (3) 2015: 196-201 - 2014
- [j6]Fahad Saeed, Hisham Al-Mubaid, Bhaskar DasGupta:
Foreword. J. Bioinform. Comput. Biol. 12(5) (2014) - [j5]Fahad Saeed, Jason D. Hoffert, Trairak Pisitkun, Mark A. Knepper:
Exploiting thread-level and instruction-level parallelism to cluster mass spectrometry data using multicore architectures. Netw. Model. Anal. Health Informatics Bioinform. 3(1) (2014) - [j4]Fahad Saeed, Jason D. Hoffert, Mark A. Knepper:
CAMS-RS: Clustering Algorithm for Large-Scale Mass Spectrometry Data Using Restricted Search Space and Intelligent Random Sampling. IEEE ACM Trans. Comput. Biol. Bioinform. 11(1): 128-141 (2014) - 2013
- [j3]Bhaskar DasGupta, Hisham Al-Mubaid, Fahad Saeed:
Foreword to the Special Issue on Selected Papers from the 5th International Conference on Bioinformatics and Computational Biology (Bicob 2013). J. Bioinform. Comput. Biol. 11(5) (2013) - [c7]Fahad Saeed, Jason D. Hoffert, Mark A. Knepper:
A high performance algorithm for clustering of large-scale protein mass spectrometry data using multi-core architectures. ASONAM 2013: 923-930 - [i6]Fahad Saeed, Trairak Pisitkun, Mark A. Knepper, Jason D. Hoffert:
An Efficient Algorithm for Clustering of Large-Scale Mass Spectrometry Data. CoRR abs/1301.0834 (2013) - 2012
- [j2]Fahad Saeed, Alan Perez-Rathke, Jaroslaw Gwarnicki, Tanya Y. Berger-Wolf, Ashfaq A. Khokhar:
A high performance multiple sequence alignment system for pyrosequencing reads from multiple reference genomes. J. Parallel Distributed Comput. 72(1): 83-93 (2012) - [c6]Fahad Saeed, Jason D. Hoffert, Trairak Pisitkun, Mark A. Knepper:
High performance phosphorylation site assignment algorithm for mass spectrometry data using multicore systems. BCB 2012: 667-672 - [c5]Fahad Saeed, Trairak Pisitkun, Mark A. Knepper, Jason D. Hoffert:
An efficient algorithm for clustering of large-scale mass spectrometry data. BIBM 2012: 1-4 - [c4]Fahad Saeed, Trairak Pisitkun, Jason D. Hoffert, Guanghui Wang, Marjan Gucek, Mark A. Knepper:
An efficient dynamic programming algorithm for phosphorylation site assignment of large-scale mass spectrometry data. BIBM Workshops 2012: 618-625 - 2011
- [c3]Fahad Saeed, Trairak Pisitkun, Mark A. Knepper, Jason D. Hoffert:
Mining Temporal Patterns from iTRAQ Mass Spectrometry(LC-MS/MS) Data. BICoB 2011: 152-159 - [i5]Fahad Saeed, Trairak Pisitkun, Mark A. Knepper, Jason D. Hoffert:
Mining Temporal Patterns from iTRAQ Mass Spectrometry(LC-MS/MS) Data. CoRR abs/1104.5510 (2011)
2000 – 2009
- 2009
- [j1]Fahad Saeed, Ashfaq A. Khokhar:
A domain decomposition strategy for alignment of multiple biological sequences on multiprocessor platforms. J. Parallel Distributed Comput. 69(7): 666-677 (2009) - [c2]Fahad Saeed, Ashfaq A. Khokhar, Osvaldo Zagordi, Niko Beerenwinkel:
Multiple Sequence Alignment System for Pyrosequencing Reads. BICoB 2009: 362-375 - [i4]Fahad Saeed, Ashfaq A. Khokhar:
Sample-Align-D: A High Performance Multiple Sequence Alignment System using Phylogenetic Sampling and Domain Decomposition. CoRR abs/0901.2742 (2009) - [i3]Fahad Saeed, Ashfaq A. Khokhar:
An Overview of Multiple Sequence Alignment Systems. CoRR abs/0901.2747 (2009) - [i2]Fahad Saeed:
Pyro-Align: Sample-Align based Multiple Alignment system for Pyrosequencing Reads of Large Number. CoRR abs/0901.2751 (2009) - [i1]Fahad Saeed, Ashfaq A. Khokhar:
A Domain Decomposition Strategy for Alignment of Multiple Biological Sequences on Multiprocessor Platforms. CoRR abs/0905.1744 (2009) - 2008
- [c1]Fahad Saeed, Ashfaq A. Khokhar:
Sample-Align-D: A high performance Multiple Sequence Alignment system using phylogenetic sampling and domain decomposition. IPDPS 2008: 1-9
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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