UMD Online Lectures
2023-03-13 | Event
Lecture Schedule
| No. | Date (Hong Kong Time) | Lecture Topic |
| Year 2021 | ||
| 1 | 21-Jul-2021 | Development of canaries for Catastrophic failure prevention |
| 2 | 04-Aug-2021 | System Safety Verification and Validation For AI Systems |
| 3 | 11-Aug-2021 | Issues with Device Manufacturers Using Commercial-off-the-shelf Lithium-ion Batteries |
| 4 | 18-Aug-2021 | Degradation Analysis and Capacity Fade Prediction of Lithium-Ion Batteries |
| 5 | 01-Sep-2021 | Creation of life cycle profile for product reliability assessment |
| 6 | 15-Sep-2021 | Functional safety improvement through expanded diagnostic coverage |
| 7 | 29-Sep-2021 | Forecasting Maintenance: PHM Business Case Analysis |
| 8 | 13-Oct-2021 | Methods to ensure the reliability of sensors and the integrity of data produced by sensors |
| 9 | 27-Oct-2021 | Reliability and Failure Analysis for Electronics |
| 10 | 03-Nov-2021 | Application of prognostics in qualification |
| 11 | 10-Nov-2021 | Ensemble methods for individualized fault diagnosis |
| 12 | 17-Nov-2021 | How to achieve target safety integrity level (SIL) using PHM |
| 13 | 24-Nov-2021 | Conjugate-stress sensors for anomaly detection in structural health monitoring |
| 14 | 01-Dec-2021 | Reliability of Systems and Components After Storage: Management of Storage Process |
| 15 | 08-Dec-2021 | Role of Reliability Physics Modeling in Improving Diagnostic Coverage |
| 16 | 15-Dec-2021 | Improving Functional Safety and its Estimation using PHM for meeting SIL Targets |
| 17 | 22-Dec-2021 | Corrosion and Electro-Chemical Migration Prognostic Sensors |
| Year 2022 | ||
| 18 | 05-Jan-2022 | Component reliability assessment based on modeling and testing |
| 19 | 19-Jan-2022 | Simulation-Based Modeling for Prognostics |
| 20 | 16-Feb-2022 | Digital twins for reducing testing and qualification needed for safety assurance: Is the microelectronics industry ready ? |
| 21 | 23-Feb-2022 | The difficulty in duplicating field anomalies during laboratory post-mortems: A reliability physics perspective |
| 22 | 09-Mar-2022 | Reliability and Safety Analysis using Digital Twins |
| 23 | 23-Mar-2022 | Non-destructive methods of failure analysis |
| 24 | 06-Apr-2022 | Interpretability of Machine Learning Algorithms and Ensemble Learning Methods |
| 25 | 20-Apr-2022 | Product reliability validation for varying life cycle profile |
| 26 | 04-May-2022 | Prognostics-Based Qualification for Product Reliability Demonstration |
| 27 | 01-Jun-2022 | Potential of Augmenting Simulation-Based Component Reliability Assessment with Data-Driven Tools |
| 28 | 15-Jun-2022 | Fatigue Damage of Engineering Systems under Complex Vibration Environments |
| 29 | 28-Sep-2022 | Component Reliability Assessment Through Failure Mechanism Simulation |
| 30 | 19-Oct-2022 | Qualifications and Machine Learning |
| 31 | 16-Nov-2022 | Li dendrite formation in lithium-ion batteries - effects of battery materials |
| 32 | 30-Nov-2022 | Data-Driven Failure Analysis |
| 33 | 14-Dec-2022 | Thermal runaway in lithium-ion batteries - stages and causes |
| Year 2023 | ||
| 34 | 04-Jan-2023 | In-service assessment of lithium batteries for portable electronics |
| 35 | 18-Jan-2023 | The Sustainment for Transportation Systems |
| 36 | 01-Feb-2023 | Towards Interpretable Data-Driven Prognostics |
| 37 | 15-Feb-2023 | Power electronic component qualification using prognostic tools |
Centre for Advances in Reliability and Safety (CAiRS) and Belarusian State University of Informatics and Radioelectronics (BSUIR) are pleased to announce the signing of a Memorandum of Understanding (MOU) on a collaboration between the two entities to foster talent exchange in innovative reliability and safety research.
2023-05-12 | NewsThe seminar is organized by Centre for Advances in Reliability and Safety
2023-05-09 | EventThe seminar is organized by "Centre for Advances in Reliability and Safety" (CAiRS)
2022-11-03 | EventThe InnoHK Launch Ceremony was successfully held on 25 May 2022, marking a new milestone in the Hong Kong Special Administrative Region (HKSAR) Government's commitment to promoting Hong Kong's innovation and technology (I&T). As the flagship I&T initiative of the HKSAR Government, InnoHK aims to promote global research collaboration with a view to putting Hong Kong on the global advanced technology map.
2022-05-25 | News