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May 27 - CE Evening Lecture
Join this lecture on this timely topic of AI with Dr. Nidhal Bouaynaya
Artificial intelligence is increasingly being used to model, monitor, optimize, and control complex engineering systems. In chemical engineering, this includes applications such as process monitoring, fault detection, soft sensing, process optimization, materials discovery, and digital twins for manufacturing and chemical processes. Deep neural networks have demonstrated impressive predictive accuracy in many of these settings. However, high accuracy alone is not sufficient for deployment in safety-critical, data-limited, or dynamically changing process environments. This talk presents a framework for self-aware artificial intelligence: AI systems that can quantify uncertainty, assess their own confidence, and recognize when their predictions may be unreliable.
Nidhal Carla Bouaynaya is the Associate Vice Chancellor for Artificial Intelligence, a Professor of Electrical and Computer Engineering at Rowan University, and the Director of Rowan’s Machine, Artificial Intelligence & Virtual Reality Center (MAVRC). She holds a Ph.D. in Electrical and Computer Engineering and an M.S. in Pure Mathematics from the University of Illinois at Chicago. Her research focuses on Machine Learning and AI. She co-authored more than 120 refereed journal articles, book chapters, and conference proceedings, such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Letters, IEEE Signal Processing Magazine, and PLOS Medicine.
Wednesday, May 27, 2026(EDT)
5:15pm-5:30pm – Networking
5:30pm-6:30pm – Dinner & Presentation
6:30pm-6:45pm – Q&A Session + Closing Remarks
Location:Online & In-Personat KBR (Newark)
242 Chapman Road, Newark DE, 19702
Price:
$30DVSMembers (In-Person)
$35 Non-DVSMembers (In-Person)
$20 KBR Employees (In-Person)
$15 Students
$15 Virtual Option
Dinner will be provided with registration for live attendance.
Call-in information will be provided to virtual attendees the morning of the event.
PDH Potential: 1 Credit
Lecture Details:
PDH Info & Registration Page
Register by noon on Tuesday, May 26th to ensure your spot is saved!
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