Special Issue 6

Call for Papers

Special Issue of the Journal of Engineering, Project, and Production Management (EPPM-Journal)
Title: Machine Learning and Big Data Applications in Production and Project Management
Guest Editors: Dr. Mudasir Mohd and Dr. Sheikh Nasrullah

Focus, Scope, and Rationale

The rapid development of machine learning (ML), artificial intelligence (AI), and big data analytics has transformed the landscape of engineering, production, and project management. Modern production systems and engineering projects increasingly rely on real-time data, predictive modeling, automated decision-making, and intelligent optimization to address challenges such as resource constraints, cost overruns, schedule delays, supply chain disruptions, and quality variability.

This special issue aims to consolidate cutting-edge research that integrates ML and big data-driven approaches with the core domains of production and project management. By bringing together studies from engineering, industrial management, computing, and multidisciplinary fields, this issue will highlight innovative methodologies, system frameworks, decision-support tools, and empirical applications that enhance efficiency, accuracy, sustainability, and resilience in industrial and project environments.

The rationale for this special issue is to provide a dedicated platform for researchers and practitioners to exchange insights on how data-driven intelligence can elevate traditional management frameworks and support the transition toward digitalized, smart, and autonomous project and production systems.

Topics of Interest

• ML applications in project scheduling, cost control, and monitoring.

• Big data analytics for production optimization and resource allocation.

• Predictive maintenance using deep learning and IoT data.

• AI-driven intelligent supply chain and logistics management.

• Reinforcement learning for dynamic planning and decision-making.

• Digital twin and data-driven simulation for engineering management.

• Risk analysis and safety management using ML.

• Quality prediction and defect classification in manufacturing.

• Computer vision applications in construction and industrial inspection.

• ML-based multi-objective optimization.

• Data-driven sustainability assessment and energy optimization.

• Real-world case studies integrating ML/AI in engineering projects.

• Hybrid models combining ML, OR, and system dynamics.

• Explainable AI in engineering, production, and project contexts.

Important Dates

• Call for Papers Published Online: December 2025

• First Submissions Deadline: March 2026

• First Review Round Completed: May 2026

• Revised Manuscripts Due: June 2026

• Final Notification to Authors: July 2026

• Publication of Special Issue: November 2026

Guest Editors

• Dr. Mudasir Mohd
  Associate Professor, University of Kashmir, India
  Email: mudasirm@uok.edu.in

• Dr. Sheikh Nasrullah
  IBM Research - Almaden, USA
  Email: nasrullah.sheikh@ibm.com

Contact Information

For inquiries regarding the special issue or manuscript submissions, please contact:
Dr. Mudasir Moh
Email: mudasirm@uok.edu.in