Global Artificial Intelligence and Data Analytics
Each speaker needs to register and pay the discounted registration fee for the 9th North American IEOM Washington D.C. Conference. Please pay your registration fee ONLINE: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=rzd9S0y
The AI and Data Analytics panel is a dynamic forum bringing together leading experts and innovators to explore the transformative power of artificial intelligence and advanced data analytics. This panel discusses the latest advancements, trends, and applications of AI and data-driven strategies across various industries including higher education. By highlighting cutting-edge research, real-world case studies, and emerging technologies, the discussion aims to provide invaluable insights into how businesses can leverage AI and data analytics to drive innovation, enhance decision-making, and maintain a competitive edge in an increasingly data-centric world. Global Artificial Intelligence and Data Analytics
- Trends in AI and Data Analytics
- AI in Education Transformation
- Big Data Management and IA Bussiness Transormation
- Ethics and Governance in AI
- Challenges in AI Deployment
- Future of AI and Data Analytics
Each speaker needs to submit a title of the talk, photo and a short bio as well as power point presentation. If you are interested to be distinguished feature speaker, please contact info@ieomsociety.org for details.
All speakers need to register for the conference: https://www.xcdsystem.com/IEOM/attendee/index.cfm?ID=rzd9S0y
Distinguished Speakers
Wednesday, June 5, 2024 – 4:00 – 5:45 pm – Room 4 (Onsite)
Session Chair: Dr. Hayder Zghair
Speaker I
Dr. Hayder Zghair
Assistant Professor of Industrial Engineering
Department of Engineering and Physics
Director of Industrial Engineering Development
College of Science and Engineering
Southern Arkansas University
Magnolia, Arkansas 71753
Dr. Hayder Zghair is an assistant professor of Industrial Engineering in the Department of Engineering and Physics, and the director of Industrial Engineering Development in the College of Science and Engineering at Southern Arkansas University. Before joining SAU, served in several academic appointments including Assistant Teaching Professor of Industrial and Manufacturing Engineering at Pennsylvania State University and lecturer of Industrial and Manufacturing Engineering at Kettering University. Dr. Zghair’s research interest covers a wide area of industrial and manufacturing engineering including Flexible-Automated Manufacturing, Robotics, Human Factors and Ergonomics, Sustainability Engineering, Analytical Modeling and Simulation, and Optimization, and has published many journal and conference papers. Dr. Zghair continues to explore new and cutting-edge areas for research and education in engineering disciplines and has recently had an extensive interest in industry 4.0 and 5.0 tech such as AI, IIoT, smart sensors, and cloud computation and control. He also has several professional memberships; ASEE, SAE, and IEOM. Dr. Zghair obtained his Doctor’s Degree in Manufacturing Systems Engineering from Lawrence Technological University, Michigan, USA, and has several professional affiliations: Affiliate Researcher at Penn State Institute of Energy and the Environment and Board Member of Division Directors in the Environmental Engineering Division at American Society of Engineering Education (ASEE). Dr. Zghair is the chair of the SAU campus sustainability committee and a member of several committees at the department, college, and university levels.
Speaker II
Dr. Alper Senol
Professor- Supply Chain Management
Miami Dade College
Miami, Florida, United States
Alper Senol is an experienced Industrial Engineer with over 15 years of expertise in Supply Chain Management and technology integration. His career spans pivotal roles driving digital transformation, optimizing operations, and fostering effective team dynamics. His current research focuses on the integration of advanced technologies in Supply Chain Management to enhance operational efficiencies and quality management. He received his Ph.D. in Industrial Engineering and Management Systems from the University of Central Florida.
Professional Vision: Dr. Senol is dedicated to leveraging advanced technologies—such as ERP systems, AI, ML, IoT, Cyber-Physical Systems, and blockchain—within Supply Chain Management. He explores how each technology reshapes operations and contributes to elevating quality management practices. His vision encompasses creating a comprehensive approach that integrates established quality methodologies like TQM, Six Sigma, Lean principles, and ISO standards with these emerging technologies. Alper aims to achieve operational excellence in supply chain activities through this integration, revolutionizing industry practices for sustainable growth and heightened efficiencies.
Speaker III
Dr. Galia Novakova Nedeltcheva
Scientific Researchеr
ICT & Digital Transformation
Polytechnical University of Milan, Italy
“Nowadays we see that Smart manufacturing (Manufacturing as a Service), Digital engineering & operations, Digital connectivity & sensors are the main fields where Industry 4.0 finds application, but still keeping human-centric processes.”
University lecturer and researcher with sound scientific experience and working at the interface of science, knowledge, and policy.
Engineering Management professional obtained her Doctor of Philosophy (Ph.D.) in Industrial and Manufacturing Engineering from the Polytechnic University of Turin, Italy. Also, Dr. Nedeltcheva holds two MSc degrees in Quality Management, and in Information Management Systems. She performed extended postdoc research in Germany, Italy, and the USA.
Skilled in Project Management, Operations and Service Management, Quality Management, Lean and Agile Methodologies, and Continuous Improvement.
MIT Certified Professional in Cloud and DevOps: Continuous Transformation.
About eight years of experience as an Asst. Prof. with Sofia University (Bulgaria), about 40 scientific publications in journals and conference proceedings, and a couple of academic awards.
Giving talks at various international scientific conferences, numerous times serving as a conference session chair, a reviewer for a number of scientific journals and conferences, as well as a project reviewer for the European Commission.
Research interest in Digital Manufacturing, Cloud-based Supply Chain Management, Security in the Supply Chain, and Performance Measurement.
President of the IEOM Chapter in Bulgaria.
Currently, Dr. Galia Nedeltcheva is with the Polytechnical University of Milan, Italy.
Speaker IV
Dr. Assaf Gottlieb
Assistant Professor
UTHealth School of Biomedical Informatics (SBMI)
Houston Texas Medical Center
Houston, TX 77030
Dr. Assaf Gottlieb joined the UTHealth School of Biomedical Informatics (SBMI) in January 2017 as an assistant professor and one of the core faculty members of the Center for Precision Health. Dr. Gottlieb arrived to SBMI from IBM Research where he served as a research associate at the Machine Learning for Healthcare and Life Science group in Haifa labs. Prior to his position with IBM, Dr. Gottlieb was a postdoctoral fellow at both Stanford University and Tel-Aviv University. He has degrees in Physics and Computer Science and has also worked in software and algorithmic development in various software companies. Our lab is interested in precision medicine with special emphasis on pharmacogenomics. In order to address the challenges of precision medicine, we employ an integrative computational approach, combining multiple types of data and applying methodologies from systems biology, systems medicine, machine learning and causal inference domains. Our primary interest is to improve health outcomes by integrating diverse types of data, including genomic/biological data, data from fitness trackers and clinical data from electronic health records data. Some of our on-going projects include predicting drug response in cancer therapy, early predictions of Alzheimer’s Disease and determining HIV risk.
Speaker V