Reliability Society Distinguished Lecturers

Reliability Society Distinguished Lecturers
Topics and Speakers

Region DL Candidate Topic Email
R1 Bill Tonti PHM - Enabling Autonomous Computing Technology Solutions that anticipate and avert failure 
R1 Bill Tonti IOT - Hardening the Internet of Things - requirements for Cmmercial technology implementation 
R1 Bill Tonti Chip Reliability 
R1 Bill Tonti Chip Reliability Enabling System Reliabilty through burn-in and fault mitigation 
R1/R10 Zhaojun (Steven) Li  Bayesian Methods for Reliability Data Analysis 
R2 Jeff Voas Eighteen Internet of Things (IoT) Trust Concerns
R3 Pradeep Lall Flexible Printed Electronics
R3 Pradeep Ramuhalli Sensor and Instrumentation Technologies for Sustainable Energy Generation
R5 Jason Rupe Systems/Networks 
R5 Jason Rupe Blockchain 
R5 Eric Wong Effective Software Testing using Combinatorial Design 
R6 Preeti Chauhan 1. Enabling Modern Day Automotive Electronics using Physics of Failure 
R6 Preeti Chauhan 2. Physics of Failure versus Standards Based Qualification 
R6 Preeti Chauhan 3. Thermal Cycling Reliability of Solders under Isothermal Aging 
R6 Preeti Chauhan 4. Copper Wire Bonding – Challenges and Best Practices 
R6 Preeti Chauhan 5. Prognostic Canary for Electronic Components 
R7 Jie Liu (Peter ) PHM for Gas Turbine Engines and Battery Systems 
R8 Enrico Zio, Piero Baraldi, Francesco Di Maio Artificial Intelligence and Machine Learning using various approaches to predictive analytics including different types of neural networks 
R8 Enrico Zio, Piero Baraldi, Francesco Di Maio Prognostics and health management with industrial applications 
R8 Enrico Zio, Piero Baraldi, Francesco Di Maio CYBER PHYSICAL SYSTEMS (CPS) RISK ASSESSMENT 
R8 Radim Briš Stochastic Ageing and Maintenance Models for Unavailability Quantification of Complex Multi-Component Systems 
R8 Radim Briš Optimization of maintenance policies for complex and highly reliable multi-unit systems 
R8 Pierre Dersin Designing for Availability in Systems, and Systems of Systems