Events from the AJ Clark School of Engineering http://eng.umd.edu/events/ Wed, 15 Jul 2026 11:36:29 EDT http://eng.umd.edu/images/clark_logo_4email.gif http://eng.umd.edu/events/ Monday, August 31, 2026 2:30 PM, J. M. Patterson Building (JMP) 2217, Applications of AI in Reliability: Prognostics and Systems Health Management (Fall 2026 Graduate Course) Prof. Michael G. Pecht301-405-5323pecht@umd.edu Dr. Michael H. Azarian301-405-7555mazarian@umd.edu Prof. Jay Lee301-405-5255leejay@umd.edu Class Timings: Mondays, 9:30 AM to 12:10 PM US Eastern Time at J. M. Patterson Building (JMP) 2217 Find the Syllabus Here Read more about the course here. Prognostics and health management (PHM) is an enabling discipline consisting of technologies and methods to assess the reliability of a product in its actual life cycle conditions to determine the advent of failure and mitigate system risk. In recent years, PHM has emerged as a key technology that provides an early warning of failure, forecasts maintenance, and assesses the potential for life extensions. In the future, PHM will equip systems with the capability to assess their own real-time performance (self-cognizant health management and diagnostics) under actual usage conditions and adaptively enhance life cycle sustainment with risk-mitigation actions that virtually eliminate unplanned failures.  The application areas of PHM include aerospace structures and avionics, automobiles, civil structures, consumer and industrial products, defense infrastructure and medical equipment, and machine tools. This is an interdisciplinary course, and students in many areas, including aerospace, civil, electrical, and mechanical engineering, and engineering management, are welcome. Students will get the opportunity to learn the basic scientific foundations that enable PHM and work on its implementation for real-life applications through projects. Experts from industry, government, and academia will teach guest lectures in this course. Some of the topics covered in this course include: Fundamentals of Prognostics and Health Management (PHM). Internet of Things, Big Data, and Sensors for PHM. Data Pre-processing (Data Cleansing, Feature Extraction, Feature Selection, Feature Learning). Machine Learning and Artificial Intelligence for Anomaly Detection, Diagnostics, and Prognostics. PHM Cost and Return on Investment. Valuation and Optimization of PHM-enabled Maintenance Decisions. Software Tools for PHM. Predictive Maintenance. PHM Applications in Industry. For more information, contact Prof. Michael Pecht, Dr. Michael H. Azarian, and Prof. Jay Lee. https://calce.umd.edu/event/20733 https://calce.umd.edu/event/20733 Wednesday, October 14, 2026 2:00 PM, Kay Boardroom, Kim Engineering Building, University of Maryland, On October 14, 2026, the Center for Advanced Life Cycle Engineering will hold its Reliability Science for Electronics Symposium. This meeting will be held in the Kay Boardroom, Kim Engineering Building, at the University of Maryland. A Zoom option will be available for those who cannot attend in person. The meeting will include an overview of CALCE research activities with several detailed research project presentations. The meeting will be open to all CALCE members. For non-CALCE organizations interested in attending, please contact Dr. Osterman. Register Today Topics include: Ripple Current Testing of Multilayer Ceramic Capacitors (MLCCs) for Correlation with Selection Criteria Modeling and Physical Analysis of Lubrication in Lightly Loaded Contacts Undergoing Fretting HDI Laminate Reliability Concerns. Feature Size-based Dimensional Data for Component Reliability Assessment. Microstructure-sensitive Grain-scale Model for Cyclic Fatigue in Oligocrystalline SAC Interconnects Coating Durability in Electronic Products Thermal Cycle Reliability Models for Lead-free High-Performance Solder Interconnects and Wafer Level Package Solder Interconnect Tests Reliability of Low-Temperature Solder Interconnects https://calce.umd.edu/event/20735 https://calce.umd.edu/event/20735 Tuesday, November 17, 2026 6:00 AM, Dewalt Seminar Room, 2164, Martin Hall, University of Maryland, Register Today An intensive 4-day course on Failure Analysis of Electronics is being offered by CALCE. The four-day course will cover specimen preparation and materials analysis techniques applicable to electronic assemblies, components, and devices. The course consists of classroom instruction, demonstrations, and hands-on laboratory training. Lecture topics include physics-of-failure root cause analysis, guidelines for selecting analytical tools, and practical instruction in laboratory techniques. The laboratory portion of the course includes demonstrations and step-by-step, hands-on sample preparation using metallographic techniques on the latest failure-analysis equipment. In addition, a number of important non-destructive and destructive analysis techniques will be demonstrated. Learn More https://calce.umd.edu/event/20736 https://calce.umd.edu/event/20736