Workshops
All authors, speakers, panelists, presenters, and attendees are required to register and pay the conference fee to participate in the IEOM Conference:
Submission Link: https://www.xcdsystem.com/IEOM/abstract/index.cfm?ID=7v4USiq
Registration Link: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=O1lLs2m
Six Sigma Workshop
4:00 – 7:00 pm, December 1, 2025
Workshop 2 Hours + Exam 1 Hour
Speaker: Dr. Ahad Ali, Lawrence Technological University, Southfield, Michigan, USA
Six Sigma Certification Topics
- Six Sigma Fundamentals
Define
- Project Charter
- Process Maps, SIPOC, Matrix Diagrams, Critical to Quality (CTQ) Metrics, and DPMO
- Pareto Chart
- SIPOC
Measure
- Process analysis
- Probability, Statistics and Distribution
- Data collection and analysis
- Gage Repeatability and Reproducibility (R&R)
- Process capability
- X-Bar Charts, Run Charts, Moving Average Charts, EWMA Charts, Attribute Charts, Takt Time, Standardization, Spaghetti Diagrams, and Setup Reductions
Analyze
- Value Stream Map
- Hypothesis Testing
- Goodness of fit test
- Regression Analysis
- Cause & Effect Diagrams
- Scatter Diagrams
- ANOVA
- Confidence Interval
Improve
- Lean Tools to reduce NVA: 5S, Kaizen, Seven Zeros, TPS Principles, FMEA, and Simulation
- Design of Experiments (DOE)
- Statistical Process Control (SPC)
- Analysis of Variance (ANOVA)
- Solutions Validation
Control
- Control Plan
- SPC
- Tracking
- DFSS
Dr. Ahad Ali
Associate Professor
Director of Bachelor of Science in Industrial Engineering
Director, Master of Science in Industrial Engineering
Director of Smart Manufacturing and Lean Systems Research Group
A. Leon Linton Department of Mechanical, Robotics and Industrial Engineering
Lawrence Technological University, Southfield, Michigan, USA
Executive Director, IEOM Society International
Dr. Ahad Ali is an Associate Professor and Director of Bachelor of Science in Industrial Engineering and Master of Science in Industrial Engineering in the A. Leon Linton Department of Mechanical, Robotics and Industrial Engineering at the Lawrence Technological University, Michigan. Dr. Ali is the Director of Smart Manufacturing and Lean Systems Research Group. He earned B.S. in Mechanical Engineering from Khulna University of Engineering and Technology, Bangladesh, Masters in Systems and Engineering Management from Nanyang Technological University, Singapore and Ph.D. in Industrial Engineering from University of Wisconsin-Milwaukee. Dr. Ali is the Executive Director of IEOM Society and Conference Chair of the Sixth International Conference on Industrial Engineering and operations Management, Kuala Lumpur 2016. He advised six doctorate students in Doctor of Engineering in Manufacturing Systems. Dr. Ali has published journal and conference papers. He was past President of IIE Lean Division. Dr Ali has done research projects with Chrysler, Ford, DTE Energy, Delphi Automotive System, GE Medical Systems, Harley-Davidson Motor Company, International Truck and Engine Corporation (ITEC), National/Panasonic Electronics, and Rockwell Automation. His research interests include quality, reliability, six sigma, manufacturing, simulation, optimization, scheduling, maintenance, e-manufacturing, lean, CAE and GD&T and. He is a member of ASEE, IEEE, IEOM, INFORMS, and SME.
AI and Machine Learning Workshop
4:00 – 7:00 pm, December 2, 2025
STEPPING INTO AI & MACHINE LEARNING – Workshop
INSTRUCTOR-LED WORKSHOP WITH HANDS-ON TRAINING
Mohammad Islam
Associate Director
Optum – United Healthcare Inc.
New Jersey, United States of America
Mohammad Islam serves as an Associate Director at the UnitedHealth Group USA. He specializes in application and web-based software development, as well as machine learning and deep learning models and their practical applications. Mohammad holds a U.S. patent for a wireless GPS mapping device and has contributed articles to esteemed publications such as ASCE and CSCE.
With a keen strategic mindset and a robust IT and Engineering background, Mohammad brings extensive experience in team management, technical leadership, and coaching. He excels in connecting individuals and teams with the right tools and products to optimize effectiveness and efficiency for their mission. With nearly 20 years of experience in IT Program and Portfolio management, spanning agile, SDLC, Kanban, and Scrumban methodologies, Mohammad believes that leveraging AI wisely can lead humanity to unprecedented heights.
Before joining UnitedHealth in 2018, Mohammad held positions at Bank of America, Merrill Lynch, Walmart, and the United Nations.
Workshop Details
Get hands-on experience with the latest AI tools and technologies in our intensive workshop, designed
and delivered by an industry experienced professional, Mohammad Islam. In this workshop pyour training
will provide you with the tools to:
- Develop intelligent machine learning models with Python
- Data exploration and visualization
- Identify significances between supervised versus unsupervised ML
- Building supervised/unsupervised models
- Get an introduction to as well explore the world of Neural networks
- Build image recognition models
Upon course completion you will be able to:
- Understand the beneficial roles Machine Learning and Artificial Intelligence play in modern society
- Describe with clarity supervised and unsupervised machine learning
- Implement linear and polynomial regression models
- Implement (model using) K means clustering
- Describe deep learning versus machine learning
- Know the importance of model image recognition
About the Trainer
Mohammad Islam brings over 20 years of diverse industry experience to his role as Associate Director at UnitedHealth Group, USA. His background spans insurance, finance, retail, humanitarian, and manufacturing, equipping him with a unique perspective and adaptability. As an engineer and software expert, he boasts over 15 years of IT portfolio/program management expertise, including agile, SDLC, RAD, and kanban methodologies. Recognized by certifications like Data Scientist in Python, AI Toolkit Scikit Learn, Tensor flow and Keras, SPC®, PMP®, ACP®, and CSM®, his previous roles include working with Bank of America – Merrill Lynch, Walmart, and the United Nations WFP. Mohammad’s leadership extends beyond technical expertise, managing in-house and offshore teams across Russia, India, Ireland, Italy, and the US. Additionally, he holds a US patent on wireless GPS mapping and has published in prestigious journals like ASCE and CSCE.
Workshop 3
4:00 – 7:00 pm, December 3, 2025
Innovation and Digital Transformation in Work Environments:
From Exploring Opportunities to Leading Change and Shaping the Future
Dr. Mohammed Al Awadh
Associate Professor
Department of Industrial Engineering
King Khalid University (KKU)
Abha, Saudi Arabia
Bio
Dr. Mohammed Al Awadh is an Associate Professor in the Department of Industrial Engineering at King Khalid University (KKU) in Abha, Saudi Arabia.
He specializes in quality engineering, statistical analysis, Lean Six Sigma, and reliability engineering. Holding a Ph.D. in Industrial Engineering, Dr. Al Awadh is actively involved in academic teaching
and research, with a strong focus on continuous improvement, quality systems, and operational excellence. He is a member of professional bodies such as ASQ and SME and has contributed to multiple research publications. He is a member of ASQ and a member of SME.
Workshop Details
This workshop is designed to provide engineering students with a clear and practical understanding of innovation and digital transformation, as well as how these concepts are transforming the way we work, particularly in government jobs and public sector organizations. Students will learn the difference between essential terms like creativity, innovation, development, and continuous improvement, and how each one plays a role in improving systems and solving problems. The workshop will explain how innovation is not just about having new ideas, but also about turning those ideas into real solutions that can be used in the workplace. This is especially important for helping the country achieve the goals of Saudi Vision 2030, including sustainability, smart cities, and a digital government. Students will explore different kinds of innovation, such as minor improvements (incremental), significant changes (disruptive), and long- term plans (strategic innovation). The workshop will also teach a complete step-by- step process of innovation—from finding problems and opportunities, thinking of creative ideas, testing and improving those ideas, to finally putting them into action. One of the main tools used in the workshop will be Design Thinking, a simple yet powerful approach to solving problems by focusing on the people who are affected. Students will follow five clear stages: empathize, define, ideate, prototype, and test. By the end of the workshop, engineering students will have acquired the skills, tools, and mindset necessary to lead innovation projects, enhance services, and implement innovative solutions in the real world.
If you have any question about IEOM World Congress and/or IEOM Society, please contact: info@ieomsociety.org.