Global navigation satellite system (GNSS) plays an irreplaceable role in many areas such as unmanned autonomous systems. In this talk, the evolution of GNSS receiver architectures and the associated baseband signal processing algorithms will be discussed. In specific, the speaker will present his recent research works on vector tracking loop (VTL) and direct position estimation (DPE).

This work addresses a crowd-shippingproblem with transshipment (CSP-T) in thelast-mile delivery, where all requests can besatisfied by either using the own vehicle fleetor outsourcing with a small compensation tocrowd-shippersthrough transshipmentfacilities. The crowd-shippers show theirwillingness to deliver by submitting bids tothe e-commerce company. To minimize boththetravel cost of vehicles and thecompensation of crowd-shippers, the routesof vehicles and the selection of bids need tobe optimized simultaneously. We formulatethe CSP-T into an arc-based formulation anda route-based formulation, where the latter isstrengthened by the subset row inequalitiesBased on the route-based formulation, we

Self-organized microvascular networks (MVNs) have become key to thedevelopment of many microphysiological models. However, the selforganizing nature of this process, combined with variations between types orbatches of endothelial cells (ECs) often leads to inconsistency or failure toform functional MVNs Here, I will present two distinct approaches we havebeen using to tackle those problems.

High-accuracy modeling has integrated andaddressed error sources, improved system's safetymetrics and operational parameters such asaccuracy/integrity,and improved protectionlevel/alert limit. lt is the first time to consolidate allerror sources related to safety. The safe flapping-wing UAV has won the 1st prize @ AVIATIONINDUSTRYCORPORATION OF CHINA CupInternational Unmanned Aerial Vehicle Grand Prix(first author). The safe fixed-wing UAV has won the2nd prize @ AVIATION INDUSTRY CORPORATION OFCHINA Cup - International Unmanned Aerial VehicleGrand Prix Competition. The green aviation taxiingsystem has been developed to address the keytechnologies of. green, aviation , such as greenaviation drive systems. The developed ' green taxisystem has mitigated the

Human interaction with autonomous cyber-physical systems (CPS) is becoming ubiquitous in consumer products, transportation systems, manufacturing, and many other domains. My research aims to develop analytically computable tools to semantically understand and predict human-involved interactions using machine learning & AI techniques with support of data science toward eco-safe deployment of AI-based agents (e.g., autonomous cars) in the human-CPS such as smart cities.

Carbon fibre reinforced polymer composites have seen successful applications in aerospace, automotive and renewable energy industries over the past six decades. A number of processing and manufacturing technologies have been developed to make the composites but essentially they are all an additive process to some extent. From initial hand layup of carbon fibre prepregs (Composites 1.0) to later automated fibre/tape placement (Composites 1.5), there are increasingly released freedoms to manufacturing more complex, higher performance composites. The conventional manufacturing processes aim at scaling up the meso-scale material (such as lamina and tape) to the macro-scale composite structure, and as such the design and analysis theories for the manufactured composites are still within framework of composites laminated plate theory (CLPT), i.e., Design-for-Manufacturing. Although numerous design tools and failure criteria have been developed, there is still lack of confidence in adopting them in real-world composites design – consequently extensive and expensive experimental tests are still required for the certification of the manufactured composite structures. In this talk, I will introduce our recent advancement in real additive manufacturing of composites with be-spoke material system at multiple length scales to produce highly customised composites. Supported by the high-fidelity micromechanics based data-driven prediction and design, I will share my vision of Manufacturing-by-Design for next-generation digital, multifunctional lightweight composites in the context of Composites 2.0.

Manufacturing speed is very important in commercial applications of additive manufacturing. On the other hand, current additive manufacturing techniques are not readily applicable to on-orbit manufacturing (e.g., in space stations, due to microgravity) and unstable working environments (e.g., on vehicles in maneuvering, due to random vibration). Volumetric additive manufacturing is a newly developed high-speed approach. However, same as all other rapid approaches in current additive manufacturing, the materials to be cross-linked are liquid resins.

We have proposed a new way for volumetric additive manufacturing using solids instead of liquids in UV cross-linking. It appears to be similar to conventional laser engraving inside glass, but the un-cross-linked parts can be separated from the cross-linked parts to create the desired shapes. Since cross-linked polymers tend to have excellent shape memory effect, high dimensional accuracy is ensured after separation.

We propose a general framework to study the on-demandsharedride-sourcing transportationsystems and summarize the relevant researchproblems in four areas, namely, demand, supplyplatform operation, and system problems. We thenfocus on the online matching problem, in which theplatforms match passengers and drivers in real-timewithout observing future information, consideringmultiple objectives such as pick-up time, platformrevenue, and service quality. Given stationary andnon-stationary decision scenarios, we developefficient online matching policies that adaptivelybalances the trade-offs between multiple objectivesin a dynamic setting and provide theoreticalperformance guarantees for the policy. Throughnumerical experiments and industrial testing usingreal data from a ride-sourcing platform, wedemonstrate that our approach can arrive at adelicate balance among multiple objectives andbring value to all the stakeholders in the ride-

Many soft matter systems in manufacturing industry exist as solutions, e.g., polymer solutions/gels, and colloidal suspensions. A soft matter solution is made by dissolving one or more different soft materials in a liquid. Soft matter solutions usually show fascinating phase structure and dynamic properties. They have found wide applications in intelligent manufacturing technology such as functional coating and ink-jet printing. In this talk, I will present my recent works on the multiscale modeling and computations of some typical multiphase soft matter solutions such as simple binary solutions, polymer solutions, and diblock copolymer solutions. I will introduce some general major difficulties for the theoretical modeling and computations of these multiphase solutions, for example, free-interface dynamics, contact line dynamics, complex substrate topography, evaporation dynamics, and phase separation dynamics. I then present our methods of overcoming these difficulties. In addition, we have recently noticed a natural combination of the deep learning methods with promising “brute forces” with “intelligent” variational principles of physics. This combination provides a very powerful numerical method of solving various problems in soft matter physics. I will also give some examples to show how we use this method to study the dynamics of soft matter solutions.

Shipping alliance has become a prevalentcooperation form among major containershipping companies in recent decades. Byforming an alliance, shipping companies canbetter satisfy the shipping demand andimprove capacity utilization and profitability.At the same time, the shipping industry hasbecome an important source of globalgreenhouse gas emissions. Faced with theemergingworldwidemaritimecarbonemission tradingsystem, the shippingalliance needs to redesign its fleet to controlcarbon emissions and reduces its negativeeffects on the profit of the alliance members.This paper considers the fleet deploymentand slot exchange problem in shippingalliance with the consideration of carbonemission trading system. A mixed integernonlinearprogramming model is first