Workshops

Registration Link: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=rzd9S0y

Tuesday, June 4, 2024, 4:00 – 6:00 pm (Onsite Room 1)

Innovation and Entrepreneurship Workshop

Workshop Facilitator: Professor Don Reimer, Lawrence Tech, MI, USA

Each team will develop an idea to solve an engineering problem that may have commercial potential. They will develop a business plan using the business model canvas. Teams will compete for prizes with best ideas and best commercial potentials. Students need to bring their laptops.

Innovation and Entrepreneurship Workshop – A hands-on interactive learning experience

This workshop has been designed to encourage participants in a hands-on interactive learning experience on the development of the entrepreneurial mindset

Topics:

Idea Generation
Opportunity Recognition
Ventura Creation
Value Creation
Understanding and working with the Business Model Canvas as a validation tool
Identifying “Customer Segments” and the “Customer Archetype”
Introduction to the Business Planning Process
Presentation and Recognition (Prizes)
Join us for an exciting and interactive learning experience on how to make your dream a reality.

Professor Donald M. Reimer
President, The Small Business Strategy Group, Detroit, Michigan, USA
Adjunct Faculty – A. Leon Linton Department of Mechanical Engineering
Lawrence Technological University, Southfield, Michigan, USA
Chief Operating Officer, IEOM Society

Donald M. Reimer is an adjunct faculty at the A. Leon Linton Department of Mechanical Engineering in College of Engineering at Lawrence Tech in Southfield, Michigan. He coordinates the Certificate of Entrepreneurial Engineering Skills. Mr. Reimer holds a Bachelor of Science degree in Industrial Management from Lawrence Technological University and a Master of Arts degree in Political Science from University of Detroit/Mercy. He is a Certified Management Consultant with over 35 years of experience in working with closely-held businesses. He has taught courses in entrepreneurship, strategic management, corporate entrepreneurship and innovation for engineers. Mr. Reimer is a member of the Lawrence Tech Kern Campus Committee, Coordinator of the Lawrence Tech Innovation Encounter. He is faculty Advisor of the Collegiate Entrepreneurs’ Organization. Mr. Reimer serves as a Kern Fellow of The Kern Family Foundation, Co-Direct of the Coleman Fellows Program, member of the National Collegiate Entrepreneurs’ Organization Faculty Advisory Council and is a member of the American Society of Engineering Education.

He has operated his own consulting company – The Small Business Strategy Group for 23 years. He published numerous articles on small business, entrepreneurship and strategic thinking. He has received several awards and recognition by local, state and federal agencies for his work in entrepreneurship and minority business development. Mr. Reimer served as member of the Minority Economic Development Committee of New Detroit. Mr. Reimer is member of the Small Business Advisory Council of the Detroit Regional Chamber of Commerce. Mr. Reimer is a member of Advisory Board of the Milwaukee Junction Small Business Assistance Center. He is also a member of the Applied Innovation Alliance. Mr. Reimer serves as a KEEN Fellow for The Kern Family Foundation and is a member of United States Association of Small Business and Entrepreneurship.

Wednesday, June 5, 2024, 2:00 – 6:00 pm (Onsite Room 1)

AI and Machine Learning Workshop

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.

Wednesday, June 5, 2024, 2:00 – 4:00 pm (Onsite Room 4)

Workshop on Smart and Micro Grid

Speaker

Dr. Tariq Masood, M.Phil.,PhD, P.E(UK)
Fellowship, Sr. MIEEE, Sr. MAIChE, MIET, MCET, MASCET
Assistant Professor
Department of Engineering
Frostburg State University
Frostburg, Maryland

Dr. Tariq Masood received the M. Eng, M. Phil, in Electrical power system engineering (Smart Grid + Renewable Distributed Power generation) and Ph.D. in Electrical power system (SMART & Microgrid) from the University of Bath, Bath, UK. He is a Chartered Engineer registered with royal engineering council, UK and Senior Member of the IEEE-USA and Member of the IET-UK. He is also certified member of the CET International USA and registered member of the ASCET (American Society of Certified Engineers and Technicians) USA, also Senior member of American Institute of Chemical Engineers. Dr. Masood is serving as an Asst. Professor (Tenured-Track) at Frostburg State University, Frostburg, Maryland. A versatile, collaborative, accomplished, and knowledgeable professional with a successful track record as a Professional Engineer/Academician in Electrical Power Systems/ Process Control Systems (Smart, Microgrid, & Renewable Energy Resources Integrated with Artificial Intelligence) He has also contributed as a Visiting & Adjunct Professor, and Invited speaker, at OIT, UTT, Texas A&M Qatar, UTA, TTU, UND, UB and UDC, in the United States of America. He joined the Qatar Petroleum since 1997 where he served as a Technical Coordinator Operations/Advisor Qatar Petroleum He is/has been on several Asset Integrity department technical and management committees’ member. He is also member of BPTC (Best Practices Technical Committee) under the patronage of H.E: Dr. Mohd Saleh Al-Sada Minister of Energy and Industry Qatar. He has published more than 68 technical research papers in IEEE Conference, Journal, Honeywell Users group and other International Conferences and three comprehensive books on Micro control at Macro level on SMART GRID based FACTS Technology. He received several awards in recognition of his outstanding performance and dedication to improve Qatar Petroleum production operations and control, two Mubarak awards received from H.E Minster of Energy and Industry and three Al-Hasba Awards received from Director Operations Qatar Petroleum. He was the secretary for the GCC oil producing companies (QP-Qatar, PDO-Oman ARAMCO-Saudi Arabia, KOC-Kuwait, TATWEER-Bahrain, and ADNOC-United Arab Emirates) Production and Maintenance Technical Committee in 2008 and 2011. Research interest: SMART GRID control and optimization of process operations of FACTS controllers, financial markets, renewable resources and control system restructuring, computational intelligence, centralized & decentralized control, large scale optimization and modelling, decision analysis: He is also serving as an Associate Editor IEEE Access (Impact Factor 3.44).

Six Sigma Workshop

Thursday, June 6, 2024, 8:00 – 10:00 am (Onsite Room 4)
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.

Thursday, June 6, 2024, 2:00 – 4:00 pm (Onsite Room 1)

Social Robotics Workshop

Workshop Organizers: Dr. Anshu Arora and Dr. Amit Arora, UDC

Robotics is a vast and growing field with diverse applications already being realized and others to come. In this course, we aim to introduce you to the myriad considerations a social roboticist would need to keep in mind when introducing robotics into a new area. The traditional place for robots, the factory floor, is seeing record numbers. According to the International Federation of Robots, there are somewhere around 1.8 million industrial robots in operation around the world today. But there are actually 30 million robots in US homes. And that’s not even counting the Alexas, the Siris, the smart home devices, the sidewalk delivery robots, the grocery store robots, the apartment security guard robots, the hospital service robots that many of us are increasingly encountering, as we visit friends, as we run errands, and as we go shopping. And soon, even your front yard and your neighborhood may be swarming with drones. NASA, as well as entrepreneurs and industry leaders, are working quickly to open up our skies to urban air mobility where drones can deliver small packages and passengers can zip across town in the air over the traffic. So, the way to make this new breed of robots is not to build arbitrarily smarter or more powerful robots, but to rethink what we expect from the technology. Further, the meteoric growth in artificial intelligence and the rise of human-robot interaction (HRI) has increased the demand for professionals who can harness the massive power of robotics and automation.

Organizations need talent with the right combination of skills to bridge the technical aspects of robotics and the strategic imperative for business cases. This workshop offers an immersive curriculum where you can strengthen your understanding of real-world social robotic systems, human-robot interaction, and the very real challenges of implementing robotic systems in society.

WORKSHOP SPEAKERS

Anshu Saxena Arora, Ph.D., PMP
Tenured Associate Professor of Marketing
School of Business and Public Administration
University of the District of Columbia (UDC)
Washington, DC
United States

Anshu Saxena Arora, Ph.D., PMP is the Tenured Associate Professor of Marketing at the School of Business and Public Administration in the University of the District of Columbia (UDC), Washington, DC. She is the Director of the AI, Social Robotics, and Behavioral Research Lab @ UDC, funded by the National Science Foundation. Dr. Arora is the Senior Editor for Marketing Area for the International Journal of Emerging Markets (IJoEM) published by Emerald Publications, United Kingdom. She is the Series Editor for International Marketing and Management Research published by Palgrave Macmillan – Springer. Nature, UK.

She has published more than 55 research papers in national and international journals of repute, and has presented more than 70 papers in esteemed national and international conferences.

Amit Arora, Ph.D.
Associate Professor of Supply Chain Management
School of Business and Public Administration
University of the District of Columbia (UDC)
Washington, DC, USA

Amit Arora, Ph.D. is Associate Professor of Supply Chain Management in the School of Business and Public Administration at the University of the District of Columbia (UDC). Previously, he was an Associate Professor and Co- Director of Nicholas J. Giuffre Center for Supply Chain Management at Bloomsburg University (BU). Prior to joining BU, he was Assistant Professor and Director of Global Logistics & International Business Education and Research Center at Savannah State University. He is a certified SCOR (Supply Chain Operations Reference) scholar by the Supply Chain Council. He teaches courses in Transportation, Logistics, Operations, Supply Chain Management, Innovation, Technology, Quality, Strategic Management, and Business Research.