Trosolwg
Yr Athro Lijie Li
Yr Athro Lijie Li
Datblygu troswyr MEMS, dyfeisiau a systemau MEMS optegol ac amledd radio (RF). Datblygu sawl dyfais MEMS sydd â llawer o gymwysiadau addawol mewn meysydd optegol, amledd radio (RF) a biowyddoniaeth, megis mewn offer delweddu optegol miniatur, dyfeisiau cynaeafu ynni, a chymwysiadau biosynhwyro sbectrosgopig.
Mae fy ymdrechion ymchwil presennol yn canolbwyntio ar:
• Integreiddio dyfeisiau MEMS/NEMS gyda'u helectroneg ryngwyneb
• Modelu dyfeisiau micro a nano
• Datblygu biosynwyryddion newydd
• Optimeiddio'r dyfeisiau cipio pŵer
The module reviews linear modulations, channel models for radio wave propagation in wireless communications, and the receiver design principles. The transmission diversity techniques are also included. In the second part, the techniques used in optical wireless communications are explained.
This module provides an introduction to several AI algorithms for engineering/physics problems. The specific engineering problems chosen to demonstrate the benefits offered by AI algorithms are 1) interpretation/processing of data from distributed sensors; 2) optimisation of material/device properties through physics informed neural network. The module teaches students basic statistical skills underpinning machine learning/artificial intelligence such as probability analysis and regression, as well as several case studies that use existing AI software to analyse engineering problems. Two assessments (exam and individual project, each carries 50%) for each term, designed to examine understanding of the basic machine leaning concepts and using the software to solve engineering problems, take place in the middle of term and end of term. Emphasis is placed on the use of existing software for tackling engineering problems.
Micro and Nano Electro-Mechanical Systems (MEMS/NEMS) are technology that integrates electrical and mechanical components and they offer many novel and diverse applications ranging from display technologies to sensor systems.
2018 - Presennol