Understanding Contrail Business Processes through Hierarchical Clustering: A Multi-Stage Framework. - Zeeshan Tariq 001; Naveed Khan; Darryl Charles; Sally I. McClean; Ian R. McChesney; Paul N. Taylor (Algorithms, 2020)

Early Prediction of Complex Business Processes Using Association Rule Based Mining. - Naveed Khan; Zeeshan Tariq 001; 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 001; 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 001; Darryl Charles; Sally I. McClean; Ian R. McChesney; Paul N. Taylor (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

Anomaly Detection for Service-Oriented Business Processes Using Conformance Analysis. - Zeeshan Tariq 001; 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 001; 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 001; 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 001 (AINA (8), 2025)

Integrating IT Infrastructure Metrics into Business Process Mining: A Telecommunications Industry Case Study. - Zhi Chen 018; Sally I. McClean; Zeeshan Tariq 001; Nektarios Georgalas; Adeshola Adefila (ICIT, 2025)

Enhancing Process Mining on Sparse Event Logs: A Simulation-Driven Academic Case Study. - Towfeeq Fairooz; Aleeha Iftikhar; Zeeshan Tariq 001; 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 001; 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 001 (ICIT, 2025)

Process Duration Modeling and Concept Drift Detection using Phase-Type Distributions. - Dongwei Wang; Sally I. McClean; Ian R. McChesney; Zeeshan Tariq 001 (ICIT, 2025)

A Smooth-Delayed Phase-Type Mixture Model for Human-Driven Process Duration Modeling. - Dongwei Wang; Sally I. McClean; Lingkai Yang; Ian R. McChesney; Zeeshan Tariq 001 (Algorithms, 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 001; Rafael A. Moral (CoRR, 2025)

Leveraging Semi-Markov Models to Identify Anomalies of Activities of Daily Living in Smart Homes Processes. - Eman Shaikh; Sally I. McClean; Zeeshan Tariq 001; Bryan W. Scotney; Nazeeruddin Mohammad (Algorithms, 2026)