New insights into the prediction of heterogeneous carbonate reservoir permeability from well logs using artificial intelligence network. - Salaheldin Elkatatny; Mohamed Mahmoud; Zeeshan Tariq; Abdulazeez Abdulraheem (Neural Comput. Appl., 2018)

Categorization of Crowd Varieties using Deep Concurrent Convolution Neural Network. - Gulraiz Khan; Muhammad Ali Farooq; Junaid Hussain; Zeeshan Tariq; Muhammad Usman Ghani Khan (ICACS, 2019)

An integrated approach for estimating static Young's modulus using artificial intelligence tools. - Salaheldin Elkatatny; Zeeshan Tariq; Mohamed Mahmoud; Abdulazeez Abdulraheem; Ibrahim Mohamed (Neural Comput. Appl., 2019)

Core log integration: a hybrid intelligent data-driven solution to improve elastic parameter prediction. - Zeeshan Tariq; Mohamed Mahmoud; Abdulazeez Abdulraheem (Neural Comput. Appl., 2019)

Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework. - Zeeshan Tariq; Naveed Khan; Darryl Charles; Sally I. McClean; Ian R. McChesney; Paul N. Taylor (Algorithms, 2020)

An intelligent data-driven model for Dean-Stark water saturation prediction in carbonate rocks. - Zeeshan Tariq; Mohamed Mahmoud; Abdulazeez Abdulraheem (Neural Comput. Appl., 2020)

Early Prediction of Complex Business Processes Using Association Rule Based Mining. - Naveed Khan; Zeeshan Tariq; Aftab Ali; Sally I. McClean; Paul N. Taylor; Detlef D. Nauck (RTIP2R, 2021)

Using Process Mining to Formalise Service Level Agreement (SLA) Allocation. - Cathryn Peoples; Zeeshan Tariq; Adrian Moore 001; Mohammad Hossein Zoualfaghari; Andrew Reeves (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Proactive business process mining for end-state prediction using trace features. - Zeeshan Tariq; Darryl Charles; Sally I. McClean; Ian R. McChesney; Paul N. Taylor (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach. - Teslim Olayiwola; Zeeshan Tariq; Abdulazeez Abdulraheem; Mohamed Mahmoud (Neural Comput. Appl., 2021)

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis. - Zeeshan Tariq; Darryl Charles; Sally I. McClean; Ian R. McChesney; Paul N. Taylor (Algorithms, 2022)

MEDERED: Medical Error Reduction Method for Drugs Prescription. - Maqsood Mahmud; Zeeshan Tariq; Zakarya A. Alzamil; Syed Mohammed Basheeruddin Asdaq; Arshad Mahmood (BIBM, 2024)

Using Semi-Markov Models for Generating, Validating, and Analyzing Artificial Smart Home Processes. - Sally I. McClean; Dongwei Wang; Lingkai Yang; Ian R. McChesney; Zeeshan Tariq; Shalini Prasad (UCAmI, 2024)

Autonomous Management of IoT Devices in Smart Homes Using Semi-Markov Models. - Dongwei Wang; Sally I. McClean; Ian R. McChesney; Zeeshan Tariq (AINA (8), 2025)

Enhancing Process Mining on Sparse Event Logs: A Simulation-Driven Academic Case Study. - Towfeeq Fairooz; Aleeha Iftikhar; Zeeshan Tariq; Sally I. McClean; Ian R. McChesney (ICIT, 2025)

BalancedCL: A Balanced Contrastive Learning Framework for Process Mining with Multi-Head Attention. - Bilal Ahmed Lodhi; Zeeshan Tariq; Hanif Ullah (ICIT, 2025)

Analyzing the Impact of COVID-19 on Gas Demand Markets: A Process Analytics Perspective. - Syed Arshad Raza; Atiq Waliullah Siddiqui; Zeeshan Tariq (ICIT, 2025)

Estimating the number of household TV profiles based in customer behaviour using Gaussian mixture model averaging. - Gabriel R. Palma; Sally I. McClean; Brahim Allan; Zeeshan Tariq; Rafael A. Moral (CoRR, 2025)