CAD Seminar Series: Dr. Ratna Babu Chinnam, Advancing Autonomous Monitoring and Prognostics: Novelt
When:
February 12, 2025
2:30 p.m. to 3:30 p.m.
2:30 p.m. to 3:30 p.m.
Where:
Event category:
Seminar
Hybrid
Speaker: Dr. Ratna Babu Chinnam, Professor & Chair, Industrial & Systems Engineering Department, Wayne State University
Time: Wednesday, February 12, from 2:30 pm to 3:30 pm
Location for in-person participants: 1146 FAB
Zoom link for online audience: https://wayne-edu.zoom.us/j/92845590121?pwd=CpRA5Wa5gzSMn2xiVkR2abD83O5nrH.1
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wayne-edu.zoom.us
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Title: Advancing Autonomous Monitoring and Prognostics: Novelty Detection and AI-Driven Solutions
Abstract:
As industries become more reliant on connected systems, predictive maintenance has emerged as a critical strategy to reduce downtime and improve operational efficiency. Despite decades of research, its widespread adoption remains limited. This seminar will explore advancements in autonomous monitoring and prognostics, focusing on novelty detection and AI-driven solutions for predictive maintenance in industrial settings, connected vehicles, and healthcare. Key challenges such as data sparsity, limited ground truth data, and the need for scalable, transfer learning-based models will be addressed, emphasizing the importance of autonomous systems capable of operating across diverse domains and conditions.
The presentation will introduce novel approaches to condition-based maintenance, leveraging real-time data to predict failures and optimize maintenance schedules. Advances in AI, particularly in novelty detection, automated feature extraction, and health-state estimation, will be discussed. Case studies from manufacturing systems, connected vehicle diagnostics, and healthcare will illustrate practical applications. The seminar will conclude with future research directions, highlighting the evolving role of AI in predictive maintenance.
Short Bio:
Dr. Ratna Babu Chinnam is a leading expert in AI, Big Data, and Business Analytics, and serves as Professor and Chair of the Industrial & Systems Engineering Department at Wayne State University. He has authored over 150 technical publications, including journal articles, conference proceedings, and research reports. His research spans machine learning, business analytics, operations management, sustainability, healthcare, and Industry 4.0. His work has been funded by prominent agencies such as the NSF, DoT, DoD, DoE, DoEd, and the VA. Dr. Chinnam has collaborated with major corporations, including Ford, General Dynamics, Intel, and Goodyear, and has consulted for Stellantis, Sirius XM, CapGemini, Whirlpool, and Faurecia.
Dr. Chinnam has mentored nearly 60 doctoral students, many of whom have gone on to academic positions. He received the 2012 Outstanding Graduate Mentor Award from Wayne State University and the 2022 Outstanding Professor Award from the Industrial Engineering & Operations Management Society. His students have won prestigious awards for best papers and dissertations from INFORMS, POMS, and IISE. He is the founding director of Wayne State's IndustryX: Center for Operational Excellence and the AI, Big Data, & Business Analytics Group, as well as the Business Analytics Spoke leader for the NSF's Midwest Big Data Hub. Additionally, he is one of the visionaries behind the Global Executive PhD Program—the first of its kind in the U.S. Dr. Chinnam earned his B.S. in Mechanical Engineering from Manipal Institute of Technology, Mangalore University (India) in 1988, and his M.S. and Ph.D. in Industrial Engineering from Texas Tech University (U.S.) in 1990 and 1994, respectively.
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CAD Seminar Series: Advancing Knowledge, Innovation, and Collaboration in Computation, AI, and Data Science (CAD)
The CAD Seminar Series is a dedicated platform for advancing knowledge, fostering innovation, and promoting collaboration across the fields of Computation, Artificial Intelligence, and Data Science. This series brings together leading experts, researchers, and professionals to explore the latest developments, tackle emerging challenges, and drive forward-thinking solutions at the convergence of these critical disciplines.
Objectives:
• Advance Knowledge: Share cutting-edge research and insights that push the boundaries of what is known in CAD.
• Foster Innovation: Encourage the development of novel ideas and solutions through interdisciplinary dialogue and creative thinking.
• Promote Collaboration: Unite expertise across disciplines and build bridges between academia, industry, and government to address complex problems and create opportunities for joint ventures.
Schedule: The seminars will be held on a weekly basis (unless otherwise noted) throughout the academic year. For Winter 2025, the seminars are tentatively scheduled for Wednesdays from 2:30 PM to 3:30 PM, and will be available both in-person at 1146 FAB and online. Each seminar will spotlight a particular topic, providing an in-depth exploration and fostering lively discussions.
Target Audience: The CAD Seminar Series is designed for a diverse audience, including faculty, researchers, students, and professionals in Computation, AI, Data Science, and related fields. It serves as a forum for exchanging ideas, networking, and contributing to the growth of these rapidly evolving areas. We highly recommend in-person attendance to enhance engagement and networking opportunities with speakers and fellow participants.
Call for Participation: We welcome contributions from researchers, practitioners, and students. Whether presenting your work, participating in discussions, or attending as a learner, your involvement is crucial to the success of this collaborative initiative.