Presenter: Serdar Uckun, MD, PhD, LeapAI

Abstract: Prognosis is a medical term for predicting the likelihood or expected development of a disease. Prognostics is an engineering discipline that borrows the prognosis concept from medicine and applies it to the health of engineered systems. In medicine and engineering alike, core capabilities required for prognostication are sensing (that is, observing the current state of the system) and prediction (postulating a future state of the system based on observations and prior knowledge). In this talk, we will discuss the art and science of predicting the behavior and function of organic molecules, which are a good 8 orders of magnitude smaller than the systems than PHM engineers are used to working on. Generative AI methods have greatly accelerated our understanding of how organic molecules behave, interact, and give rise to functions that are associated with life. We will cover some of the exciting advances in this space and speculate on what this all means for the PHM community.

Bio: Serdar Uckun is a management consultant, serial entrepreneur, and co-founder Leap AI, a venture studio operating at the confluence of generative AI and healthcare. He has over 30 years of experience as corporate executive, R&D leader, and consultant for world-class organizations including NASA, Xerox PARC, and Rockwell. His interest areas include genomics, artificial intelligence, modeling and simulation, PHM, and design of complex systems. At NASA, he built and led the largest AI and systems health management organization in the US government with close to 80 scientific staff. He is a co-founder and first President of the PHM Society. He has degrees in medicine (MD, Ege University), Biomedical Engineering (Ph.D., Vanderbilt University), and he has completed a postdoc in Computer Science and AI at Stanford University.

Presenter: Jennifer Radtke, Boeing Enterprise

Abstract: Coming Soon!

Bio: Jennifer and her office will champion transforming the way customers operate and maintain their products by designing support solutions throughout the product lifecycle, influencing industry standards, and defining, developing and integrating the technology roadmap for support. Jennifer’s office serves as the feedback loop with a systems engineering mindset & mission to ensure a focus on domain technical excellence, our people and standard work. ​

Previously, Jennifer led the KC-46 fleet as the interim Sr. Director, International & Capture Program Manager, collaborating with the United States Air Force to execute Foreign Military Sale contracts from acquisition, production & delivery.  Radtke was the first woman to serve as a Chief Mechanic for Boeing Commercial Airplanes, Product Development. Radtke applied her own experience as a mechanic to help engineers design products that prioritize mechanics’ safety, work environment, and work load. Jennifer has 30 years of experience in the aviation industry, and she leverages that experience to make a meaningful difference with a respect for people culture for the next generation. In addition, Radtke led the Seattle Commercial Military Derivatives, KC-46, VC-25, E-7 & P-8 as the Sr. Program Manager for Maintenance Engineering, led the 777X Maintenance Engineering team as Deputy Program Manager and served as Maintenance Programs Engineering technical lead for 737, 747, 767, 767-2C, KC-46 Tanker and 777X.  Radtke worked at multiple major airlines for 15 years prior to joining Boeing in 2011.

Jennifer earned two Bachelors of Science in Engineering Technology and Aeronautics with concentrations in aircraft safety and an Associates in Aircraft Maintenance from Embry Riddle Aeronautical University, her technical degree in Aircraft Maintenance Technology from Michigan Institute of Aviation and Technology and an FAA Airframe and Powerplant certification.  Jennifer also earned a certification in Model Based Systems Engineering from MIT.

Presenter:  Jacob Bortman, PHM Laboratory, Department of Mechanical Engineering, Ben-Gurion
University of the Negev, Beer-Sheva, Israel

Abstract: Despite the rapid adoption of Industry 4.0 technologies, the full implementation of Condition-Based Maintenance (CBM) in critical industries remains a significant challenge. Odysight.ai addresses this gap by developing advanced diagnostic and prognostic solutions that complement conventional vibration-based methods.

This work introduces Camera-as-a-SensorTM, a compact visual sensing system embedded with AI models, designed to operate in harsh and inaccessible environments. The technology has been successfully validated through deployments with NASA, U.S. government agencies, and various defense and industrial programs.

Artificial Intelligence (AI) plays a central role in modern Prognostics and Health Management (PHM) systems. This presentation highlights a novel hybrid physical-AI algorithm for real-time damage tracking in mechanical components, offering improved accuracy and scalability.

In addition, the Digital Twin (DT) paradigm is explored as a powerful tool for predictive maintenance. A recent case study in the railway sector demonstrates how synchronized physical and digital experiments can iteratively validate and optimize CBM strategies.

Collectively, these innovations represent a significant step toward building a scalable, accurate, and fully integrated CBM ecosystem, improving reliability, safety, and operational efficiency across critical mechanical systems.

Bio: Prof. Jacob holds B.Sc. and M.Sc. degrees in Mechanical Engineering from Tel Aviv University, and a D.Sc. degree from the Washington University in St. Louis, MO, USA. Since 2010 Jacob is a Professor in the Department of Mechanical Engineering in Ben-Gurion University of the Negev, Beer-Sheva, Israel. Jacob served in the Israeli Ari Force between 1982 and 2009. In his last position he served as the Head of Material Directorate, in the rank of Brigadier General. Jacob serves as a consultant and Director in several High Tech Companies.

Presenter: Neeraj Joshi, CTO, Energy & Resources, Microsoft.

Abstract: Join Neeraj Joshi, CTO, Energy & Resources, Microsoft, to discover how generative AI is reshaping the future of nuclear energy by streamlining the complex permitting and licensing process. In this session, Neeraj will illustrate how Microsoft’s advanced AI solutions leverage historic licensing data and project-specific information to automate document creation, dramatically reducing regulatory delays and costs. You’ll gain insights into how these technologies not only accelerate project delivery but also empower regulators to manage increasing workloads with greater efficiency and accuracy. The session will also delve into Microsoft’s responsible AI principles, practical strategies for deploying AI in highly regulated environments, and key compliance requirements. Attendees will leave with actionable knowledge to drive safe, transparent, and innovative nuclear energy projects forward.

Bio: Neeraj Joshi serves as the Chief Technology Officer (CTO) for WW Energy & Resources Industry. He and his team engage in technically advanced collaborations with strategic customers to expedite digital transformation on specific energy initiatives.

With over 23 years of experience at Microsoft, Neeraj Joshi has led teams in various domains, including SQL Server Performance Engineering, Global ISV, and Commercial Software Engineering. Neeraj is deeply passionate about data and is committed to assisting strategic customers and partners in modernizing their solutions. His efforts are concentrated on guiding them through their cloud journey, ensuring they can utilize the latest technologies to transform their businesses.

In his current role as CTO, Neeraj is a trusted advisor to top customers in the Energy & Resources sector. He introduces innovative ideas, influencing industry trends and solution strategies with his expertise. Neeraj collaborates closely with key stakeholders, including Engineering, Partner, and Marketing teams, to develop long-term strategies, promote the use of industry solutions, and secure flagship deals.

Neeraj holds an MBA from the Foster School of Business, University of Washington, and an MS in Computer Engineering from the University of Texas, Austin.