Instructors
Meet our experienced team of instructors.
Instructors
Charles Ward (Lead Instructor)
Retired, Air Force Research Laboratory
Editor-in-Chief, Integrating Materials and Manufacturing Innovation
Charles Ward’s professional career has spanned over 35 years, serving in several roles in research, engineering, and management. His research has focused on the microstructure-property relationships in titanium and titanium aluminide alloys. He has served as manager for the Department of the Air Force's basic research program in metals and then as an engineer on the F-35’s propulsion program. He also served as staff officer to the Assistant Secretary of the Air Force for Acquisition, and then Air Force liaison for materials research and development in Europe. Previously, he served as the Director of the Materials and Manufacturing Directorate, Lead for Integrated Computational Materials Science and Engineering, and Chief of the Metals, Ceramics, and Nondestructive Evaluation Division. He has also served as co-chair of the Materials Genome Initiative Subcommittee under the National Science and Technology Council. Ward received his Ph.D. in Materials Science and Engineering from Carnegie Mellon University, is a Fellow of ASM International, and Editor-in-Chief of the Integrating Materials and Manufacturing Innovation journal.
Kareem Aggour
Technology Manager, GE Research
Kareem Aggour is a technology manager at GE Research in upstate New York. His research lies at the intersection of knowledge management and data management, where he and his colleagues develop knowledge-driven technologies to provide views and access to disparate data. Aggour is leading the development of a federated platform for capturing data across the additive manufacturing lifecycle for GE Additive, developed in close partnership with materials scientists at GE Research. In his spare time, Aggour is leading the development of an Additive Manufacturing Common Data Model (AM-CDM) to put a formal structure around the ASTM AM Common Data Dictionary standard F3490-21, in close collaboration with partners from national labs, industry, and academia including from NIST, EWI, Hexagon, and more. Aggour earned his Ph.D. in Computer Science in 2019 while working, focusing on Big Data and scalable Machine Learning algorithms. He has 24 issued patents and 50 refereed publications to date.
David Elbert
Faculty Research Scientist, Johns Hopkins University
David Elbert Elbert is a faculty research scientist in the Johns Hopkins Extreme Materials Institute (HEMI) where he is the chief data officer of the National Science Foundation (NSF) PARADIM Materials Innovation Platform (MIP). Elbert leads multiple MGI focused projects to accelerate materials design including Materials Innovative Infrastructure development with an emphasis on streaming data architectures for real-time processing and ML-based materials discovery. He is also a co-founder and executive council member of the Materials Research Data Alliance (MaRDA) and leads the NSF FAIR and Open Science Materials Research Coordination Network (MaRCN) collaboration.
Matthew Jacobsen
Software Engineering Technical Lead, Air Force Research Laboratory
Matthew Jacobsen is a software engineering technical lead in the Materials and Manufacturing Directorate of the Air Force Research Laboratory, where he manages efforts in data and software engineering, data governance, and process optimization. Jacobsen is leading an internationally recognized software development program within the area of Integrated Computation Materials Science and Engineering (ICMSE). This Air Force-trademarked cyberinfrastructure, called HyperThought(R), employs state-of the-art technologies to provide a complete suite of data management and machine integration capabilities to research and manufacturing organizations around the United States. Jacobsen has brought this depth of experience to bear in establishing the first formal Software Factory at Wright Patterson AFB, Hangar 18, which is focused on bringing Agile and DevSecOps tools and practices to the Digital Engineering and Digital Transformation community in the Air Force.
Brian Puchala
Associate Research Scientist, University of Michigan
Brian Puchala is a member of the Predictive Structural Materials Science (PRISMS) Center, with research focused on computational materials modeling of the thermodynamics and kinetics of crystalline materials through the development of new automated computational tools and materials databases. He is a co-lead developer of the open-source statistical mechanics software package, CASM, and a domain scientist helping to develop Materials Commons, a knowledge repository and collaboration platform for the materials community.
Fatih Sen is a senior scientist at Novelis Global R&D Center in Kennesaw, Georgia. He is working towards accelerating sustainable aluminum alloy development initiatives through computational materials science, optimization, and data-driven machine learning methods. Sen is leveraging multi-scale data sources including cloud-based data lake and laboratory information management systems (LIMS) accumulated through manufacturing and research activities, towards solving the digitalization, product design, and process optimization challenges in materials industry.
Logan Ward
Scientist, Argonne National Laboratory
Logan Ward works to lower barriers for other scientists and engineers to use artificial intelligence (AI) and advanced computing. He trained as a materials engineer through bachelor’s and master’s degrees from The Ohio State University and a Ph.D. from Northwestern University before joining the Computing, Environment, and Life Sciences Directorate at Argonne National Laboratory as a scientist in 2019. There, Ward works at the interface between physical and computer sciences on projects including the design of new energy materials, modeling of radiation damage in reactor materials, and state of health prediction in batteries. He will bring his experiences with the diverse blend of computational methods employed across these projects to the tutorial series.
For More Information
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