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CIDER: Crowd-based Intelligent Design of EnviRonment


Key facts

Type of research degree
Application deadline
Ongoing deadline
Country eligibility
International (open to all nationalities, including the UK)
Source of funding
Dr He Wang
School of Computing
<h2 class="heading hide-accessible">Summary</h2>

The large population of the area leads to transportation systems often running over capacity, putting managers, operators and transport planners under pressure to ensure that overcrowding does not endanger the safety of passengers and that vital transport links do not break down due to crowd congestion. Understanding crowd interactions with the environment is not only a necessity for crowd management and design of public spaces (airports, stations, etc.) but also vital in planning events with many attendees such as the sports event. Poor management may lead to tragic results. Hence, how crowds react to such events directly should influence the design and management of spaces. &nbsp;Unfortunately, there is a lack of automation, preventing this promising technique to be used in real-life scenarios.&nbsp;

<h2 class="heading hide-accessible">Full description</h2>

<p>The automation issue breaks the space life-cycle (Design-Construction-Daily Management). Previously, tools have been developed for crowd simulation and environment design mostly separately. Extensive manual work is required when attempting to use the tools together. The users need to fix one factor (environment design or crowd) and change the other, e.g. after developing an environment layout, manually run crowd simulations to verify the design. If any factors on either side change, the whole process needs to be started again. This prevents full explorations of possible scenarios and designs. The PhD project aims to build the first a platform based Artificial Intelligence which comes with a crowd behaviour predictor that predicts how crowds use the space in new environments and an algorithm which can improve space designs automatically.</p>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="">University&#39;s website</a>. Please state clearly in the research information section&nbsp;that the research degree you wish to be considered for is &lsquo;CIDER: Crowd-based Intelligent Design of EnviRonment&rsquo; as well as&nbsp;<a href="">Dr He Wang</a> as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>We welcome applications from all suitably-qualified candidates, but UK black and minority ethnic (BME) researchers are currently under-represented in our Postgraduate Research community, and we would therefore particularly encourage applications from UK BME candidates. All scholarships will be awarded on the basis of merit.</em></p>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p><strong>Self-Funding Students</strong></p> <p><strong>Funding Eligibility</strong></p> <p><strong>UK/EU</strong>&nbsp;&ndash;&nbsp;Alumni Bursary is available for previous graduates from the University of Leeds offering 10% discount on Academic Fees only.</p> <p><strong>International Students</strong>&nbsp;&ndash; Commonwealth&nbsp;Scholarship, Alumni Bursary is available for previous graduates from the University of Leeds offering 10% discount on Academic Fees only.</p>

<h2 class="heading">Contact details</h2>

<p>For further information regarding your application, please contact Doctoral College Admissions:<br /> e:&nbsp;<a href=""></a>, t: +44 (0)113 343 5057.</p> <p>&nbsp;</p> <p>For further information regarding the project, please contact:<br /> Dr He Wang, e: <a href=""></a></p>

<h3 class="heading heading--sm">Linked funding opportunities</h3>
<h3 class="heading heading--sm">Linked research areas</h3>