Short Term Load Forecasting using Smart Meter Data. - Sarwan Ali; Haris Mansoor; Naveed Arshad; Imdadullah Khan (e-Energy, 2019)

Efficient Data Analytics on Augmented Similarity Triplets. - Muhammad Ahmad; Muhammad Haroon Shakeel; Sarwan Ali; Imdadullah Khan; Arif Zaman; Asim Karim (CoRR, 2019)

Detecting DDoS Attack on SDN Due to Vulnerabilities in OpenFlow. - Abdullah M. Alshanqiti; Safi Faizullah; Sarwan Ali; Maria Khalid Alvi; Muhammad Asad Khan; Imdadullah Khan (CoRR, 2019)

Hour-Ahead Load Forecasting Using AMI Data. - Sarwan Ali; Haris Mansoor; Imdadullah Khan; Naveed Arshad; Muhammad Asad Khan; Safiullah Faizullah (CoRR, 2019)

Fair Allocation Based Soft Load Shedding. - Sarwan Ali; Haris Mansoor; Imdadullah Khan; Naveed Arshad; Safiullah Faizullah; Muhammad Asad Khan (IntelliSys (2), 2020)

Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal. - Asad Ullah; Sarwan Ali; Imdadullah Khan; Muhammad Asad Khan; Safiullah Faizullah (IntelliSys (3), 2020)

Combinatorial trace method for network immunization. - Muhammad Ahmad; Sarwan Ali; Juvaria Tariq; Imdadullah Khan; Mudassir Shabbir; Arif Zaman (Inf. Sci., 2020)

Spike2Vec: An Efficient and Scalable Embedding Approach for COVID-19 Spike Sequences. - Sarwan Ali; Murray Patterson (IEEE BigData, 2021)

Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. - Prakash Chourasia; Sarwan Ali; Simone Ciccolella; Gianluca Della Vedova; Murray Patterson (ICCABS, 2021)

A k-mer Based Approach for SARS-CoV-2 Variant Identification. - Sarwan Ali; Bikram Sahoo; Naimat Ullah; Alexander Zelikovskiy; Murray Patterson; Imdadullah Khan (ISBRA, 2021)

Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants. - Zahra Tayebi; Sarwan Ali; Murray Patterson (Algorithms, 2021)

Cache Replacement Algorithm. - Sarwan Ali (CoRR, 2021)

Effective and scalable clustering of SARS-CoV-2 sequences. - Sarwan Ali; Tamkanat E. Ali; Muhammad Asad Khan; Imdadullah Khan; Murray Patterson (CoRR, 2021)

Locally Weighted Mean Phase Angle (LWMPA) Based Tone Mapping Quality Index (TMQI-3). - Inaam Ul Hassan; Abdul Haseeb; Sarwan Ali (CoRR, 2021)

Classifying COVID-19 Spike Sequences from Geographic Location Using Deep Learning. - Sarwan Ali; Babatunde Bello; Murray Patterson (CoRR, 2021)

Simpler and Faster Development of Tumor Phylogeny Pipelines. - Sarwan Ali; Simone Ciccolella; Lorenzo Lucarella; Gianluca Della Vedova; Murray Patterson (J. Comput. Biol., 2021)

Predicting Attributes of Nodes Using Network Structure. - Sarwan Ali; Muhammad Haroon Shakeel; Imdadullah Khan; Safiullah Faizullah; Muhammad Asad Khan (ACM Trans. Intell. Syst. Technol., 2021)

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Murray Patterson (ACML, 2022)

Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model. - Sarwan Ali (IEEE Big Data, 2022)

Efficient Data Analytics on Augmented Similarity Triplets. - Sarwan Ali; Muhammad Ahmad; Umair ul Hassan; Muhammad Asad Khan; Shafiq Alam; Imdadullah Khan (IEEE Big Data, 2022)

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. - Prakash Chourasia; Sarwan Ali; Murray Patterson (IEEE Big Data, 2022)

Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers. - Haris Mansoor; Sarwan Ali; Shafiq Alam; Muhammad Asad Khan; Umair ul Hassan; Imdadullah Khan (IEEE Big Data, 2022)

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. - Sarwan Ali; Taslim Murad; Prakash Chourasia; Murray Patterson (BigDataService, 2022)

PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification. - Sarwan Ali; Taslim Murad; Murray Patterson (ICONIP (7), 2022)

PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. - Sarwan Ali; Babatunde Bello; Prakash Chourasia; Ria Thazhe Punathil; Yijing Zhou; Murray Patterson (CoRR, 2022)

Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification. - Sarwan Ali; Bikram Sahoo; Alexander Zelikovskiy; Pin-Yu Chen; Murray Patterson (CoRR, 2022)

Efficient analysis of COVID-19 clinical data using machine learning models. - Sarwan Ali; Yijing Zhou; Murray Patterson (Medical Biol. Eng. Comput., 2022)

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. - Taslim Murad; Sarwan Ali; Prakash Chourasia; Haris Mansoor; Murray Patterson (IEEE Big Data, 2023)

Counterfactually Guided Policy Transfer in Clinical Settings. - Sarwan Ali; Babatunde Bello; Prakash Chourasia; Ria Thazhe Punathil; Pin-Yu Chen; Imdadullah Khan; Murray Patterson (CHIL, 2023)

Robust Brain Age Estimation via Regression Models and MRI-Derived Features. - Mansoor Ahmed; Usama Sardar; Sarwan Ali; Shafiq Alam; Murray Patterson; Imdad Ullah Khan (ICCCI (CCIS Volume), 2023)

When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. - Sarwan Ali; Prakash Chourasia; Murray Patterson (Tiny Papers @ ICLR, 2023)

T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. - Zahra Tayebi; Sarwan Ali; Prakash Chourasia; Taslim Murad; Murray Patterson (ICONIP (10), 2023)

PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification. - Sarwan Ali; Taslim Murad; Murray Patterson (IJCNN, 2023)

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. - Prakash Chourasia; Zahra Tayebi; Sarwan Ali; Murray Patterson (IJCNN, 2023)

Information We Can Extract About a User from 'One Minute Mobile Application Usage'. - Sarwan Ali (INFOCOM Workshops, 2023)

A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. - Taslim Murad; Sarwan Ali; Murray Patterson (INNS DLIA@IJCNN, 2023)

Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences. - Sarwan Ali; Pin-Yu Chen; Murray Patterson (ISBRA, 2023)

PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. - Sarwan Ali; Prakash Chourasia; Murray Patterson (ISBRA, 2023)

Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. - Sarwan Ali; Haris Mansoor; Prakash Chourasia; Murray Patterson (ISBRA, 2023)

Efficient Sequence Embedding for SARS-CoV-2 Variants Classification. - Sarwan Ali; Usama Sardar; Imdad Ullah Khan; Murray Patterson (ISBRA, 2023)

Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. - Prakash Chourasia; Taslim Murad; Sarwan Ali; Murray Patterson (ISBRA, 2023)

Sequence-Based Nanobody-Antigen Binding Prediction. - Usama Sardar; Sarwan Ali; Muhammad Sohaib Ayub; Muhammad Shoaib; Khurram Bashir; Imdad Ullah Khan; Murray Patterson (ISBRA, 2023)

Anderson Acceleration for Bioinformatics-Based Machine Learning. - Sarwan Ali; Prakash Chourasia; Murray Patterson (KDH@IJCAI, 2023)

BioSequence2Vec: Efficient Embedding Generation for Biological Sequences. - Sarwan Ali; Usama Sardar; Murray Patterson; Imdad Ullah Khan (PAKDD (2), 2023)

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. - Prakash Chourasia; Taslim Murad; Zahra Tayebi; Sarwan Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2023)

Exploring The Potential Of GANs In Biological Sequence Analysis. - Taslim Murad; Sarwan Ali; Murray Patterson (CoRR, 2023)

Virus2Vec: Viral Sequence Classification Using Machine Learning. - Sarwan Ali; Babatunde Bello; Prakash Chourasia; Ria Thazhe Punathil; Pin-Yu Chen; Imdad Ullah Khan; Murray Patterson (CoRR, 2023)

Beyond Accuracy: Measuring Representation Capacity of Embeddings to Preserve Structural and Contextual Information. - Sarwan Ali (CoRR, 2023)

Short-Term Load Forecasting Using AMI Data. - Haris Mansoor; Sarwan Ali; Imdad Ullah Khan; Naveed Arshad; Muhammad Asad Khan; Safiullah Faizullah (IEEE Internet Things J., 2023)

Efficient Approximate Kernel Based Spike Sequence Classification. - Sarwan Ali; Bikram Sahoo; Muhammad Asad Khan; Alexander Zelikovsky; Imdad Ullah Khan; Murray Patterson (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Computing Graph Descriptors on Edge Streams. - Zohair Raza Hassan; Sarwan Ali; Imdadullah Khan; Mudassir Shabbir; Waseem Abbas (ACM Trans. Knowl. Discov. Data, 2023)

Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location. - Sarwan Ali; Babatunde Bello; Zahra Tayebi; Murray Patterson (J. Comput. Biol., 2023)

Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. - Prakash Chourasia; Sarwan Ali; Simone Ciccolella; Gianluca Della Vedova; Murray Patterson (J. Comput. Biol., 2023)

ViralVectors: compact and scalable alignment-free virome feature generation. - Sarwan Ali; Prakash Chourasia; Zahra Tayebi; Babatunde Bello; Murray Patterson (Medical Biol. Eng. Comput., 2023)

Spike2CGR: an efficient method for spike sequence classification using chaos game representation. - Taslim Murad; Sarwan Ali; Imdadullah Khan; Murray Patterson (Mach. Learn., 2023)

Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. - Sarwan Ali; Haris Mansoor; Prakash Chourasia; Yasir Ali; Murray Patterson (ISBRA (1), 2024)

MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering. - Sarwan Ali; Prakash Chourasia; Haris Mansoor; Bipin Koirala; Murray Patterson (ML4H@NeurIPS, 2024)

A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. - Sarwan Ali; Tamkanat E. Ali; Prakash Chourasia; Murray Patterson (PKDD (4), 2024)

Weighted Chaos Game Representation for Molecular Sequence Classification. - Taslim Murad; Sarwan Ali; Murray Patterson (PKDD (4), 2024)

A Memetic Algorithm To Find a Hamiltonian Cycle in a Hamiltonian Graph. - Sarwan Ali; Pablo Moscato (CoRR, 2024)

Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting. - Sarwan Ali; Prakash Chourasia; Murray Patterson (CoRR, 2024)

Nearest Neighbor CCP-Based Molecular Sequence Analysis. - Sarwan Ali; Prakash Chourasia; Bipin Koirala; Murray Patterson (CoRR, 2024)

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Murray Patterson (CoRR, 2024)

EPIC: Enhancing Privacy through Iterative Collaboration. - Prakash Chourasia; Heramb Lonkar; Sarwan Ali; Murray Patterson (CoRR, 2024)

DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging. - Prakash Chourasia; Tamkanat E. Ali; Sarwan Ali; Murray Patterson (CoRR, 2024)

Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm. - Sarwan Ali; Haris Mansoor; Prakash Chourasia; Imdad Ullah Khan; Murray Patterson (CoRR, 2024)

Converting Time Series Data to Numeric Representations Using Alphabetic Mapping and k-mer strategy. - Sarwan Ali; Tamkanat E. Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2024)

Molecular sequence classification using efficient kernel based embedding. - Sarwan Ali; Tamkanat E. Ali; Taslim Murad; Haris Mansoor; Murray Patterson (Inf. Sci., 2024)

Elliptic geometry-based kernel matrix for improved biological sequence classification. - Sarwan Ali; Madiha Shabbir; Haris Mansoor; Prakash Chourasia; Murray Patterson (Knowl. Based Syst., 2024)

TCellR2Vec: efficient feature selection for TCR sequences for cancer classification. - Zahra Tayebi; Sarwan Ali; Murray Patterson (PeerJ Comput. Sci., 2024)

PseAAC2Vec protein encoding for TCR protein sequence classification. - Zahra Tayebi; Sarwan Ali; Taslim Murad; Imdadullah Khan; Murray Patterson (Comput. Biol. Medicine, 2024)

CAMP: A context-aware cricket players performance metric. - Muhammad Sohaib Ayub; Naimat Ullah; Sarwan Ali; Imdadullah Khan; Mian Muhammad Awais; Muhammad Asad Khan; Safiullah Faizullah (J. Oper. Res. Soc., 2024)

SsAG: Summarization and Sparsification of Attributed Graphs. - Sarwan Ali; Muhammad Ahmad; Maham Anwer Beg; Imdad Ullah Khan; Safiullah Faizullah; Muhammad Asad Khan (ACM Trans. Knowl. Discov. Data, 2024)

From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. - Sarwan Ali; Prakash Chourasia; Murray Patterson (Medical Biol. Eng. Comput., 2024)

Hilbert Curve Based Molecular Sequence Analysis. - Sarwan Ali; Tamkanat E. Ali; Imdad Ullah Khan; Murray Patterson (PAKDD (2), 2025)

Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks. - Sarwan Ali; Taslim Murad; Prakash Chourasia; Haris Mansoor; Imdad Ullah Khan; Pin-Yu Chen; Murray Patterson (RECOMB-CG, 2025)

Hist2Vec: A histogram and kernel-based embedding method for molecular sequence analysis. - Sarwan Ali; Tamkanat E. Ali; Haris Mansoor; Prakash Chourasia; Murray Patterson (Expert Syst. Appl., 2025)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2025)

Sequence Analysis Using the Bezier Curve. - Taslim Murad; Sarwan Ali; Murray Patterson (CoRR, 2025)

Hash-binding: DNA-protein binding prediction using hashing-based embedding. - Sarwan Ali; Tamkanat E. Ali; Murray Patterson (Neural Comput. Appl., 2025)