Applications are invited for up to ten fully-funded PhD studentships in the School of Computer Science at the University of Nottingham, starting on 1st October 2015.
The topics for the studentships are open, but should relate to the interests of one of the School’s research groups: Agents Lab; Automated Scheduling, Optimisation and Planning; Computer Vision Lab; Functional Programming Lab; Intelligent Modelling and Analysis; Mixed Reality Lab; Networked Systems.
The studentships are for three years and include a stipend of £13,863 per year and tuition fees, and are available to students of any nationality. Applicants are normally expected to have a first-class Masters or Bachelors degree in Computer Science or a related discipline, and must obtain the support of a potential supervisor in the School prior to submitting their application. Initial contact with supervisors should be made at least two weeks prior to the closing date for applications.
Informal enquiries may be addressed to Christine.Fletcher@nottingham.ac.uk.
To apply, please submit the following items by email to the above address: (1) a brief covering letter that describes your reasons for wishing to pursue a PhD, your proposed research area and topic, and the name of a potential supervisor; (2) a copy of your CV, including your actual or expected degree class(es), and results of all University examinations; (3) an example of your technical writing, such as a project report or dissertation; (4) contact details for two academic referees.
Closing date for applications: 14th January 2015
Please quote ref: SCI/1414.
IMA’s Dr Peer-Olaf Siebers, and author Olusola Theopilus Faboya, won best paper at The 26th European Modeling & Simulation Symposium (EMSS2014) with the paper ‘On the Search for Novel Simulation Application to Support Airport Operations Management’.
We are currently advertising a PhD studentship, supervised by IMA’s Dr Jamie Twycross.
We are seeking a talented graduate with a keen interest in synthetic biology to study for a PhD to develop novel computational algorithms and software to facilitate the design, alteration, and reconstruction of bacterial platforms.
The successful candidate will join a highly motivated and well-funded team of research scientists dedicated to the exploitation of industrial important microorganisms funded by Nottingham Synthetic Biology Research Centre (SBRC), a BBSRC / EPSRC Synthetic Biology Research Centre.
Full details can be found HERE.
The paper “Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time Each Day?” authored by Ian Dent (IMA), Tony Craig (James Hutton Institute, Aberdeen), Uwe Aickelin (IMA), and Tom Rodden (MRL) was awarded “Best Paper” at the Industrial Conference on Data Mining (ICDM 2014) held in St. Petersburg, Russia from 16-20th July.
Congratulations go out to Jenna Reps who has passed her viva today, subject to corrections.
Her thesis is called Detecting Adverse Drug Reactions in the General Practice Healthcare Database. She is supervised by Prof. Jon Garibaldi and Prof. Uwe Aickelin.
Congratulations to Hala Helmi for passing her PhD viva today.
Her thesis was called Developing Methods for Machine Learning Algorithms Using Automated Feature and Sample Selection and she is supervised by Prof Jon Garibaldi
IMA’s Dr Grazziela Figueredo has had a paper accepted for publication in PLOS ONE.
Entitled ‘Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer’, the paper also features co authors Dr Peer-Olaf Siebers, M R Owen, Jenna Reps and Prof Uwe Aickelin.
As part of a Nottingham University consortium, Dr Peer-Olaf Siebers has been successful with a interdisciplinary Leverhulme funding application for £1.75 million.
The aim of this programme is to develop a distinctively interdisciplinary approach to producing and evaluating scenarios for sustainable living in urban habitats. With two growth cities in China (Chengdu, Shanghai) and two transition cities in Europe (Nottingham, Stuttgart) as our empirical focus, we will explore ways of combining environmental and economic modelling with social and cultural ethnographic work to illuminate: realistic measures of urban sustainability and options for improving resilience and resource flows (Theme #1); patterns of consumption by different groups and social perspectives on measures and scenarios for improving sustainability (Theme #2); factors shaping economic activity and migration, and prospects for balancing economic and social capital with environmental capital (Theme #3); effective ways of managing the different forms of data from #1 to #3 to develop appropriate indicators of sustainability (Theme #4); minimising resource demands in response to underlying stimuli and constraints (Theme #5); the role of public policies and policy-maker perspectives on the indicators and scenarios that we develop (Theme #6).
The PI on this project is Darren Robinson (UoN – Built Environment). Dr Siebers is one of the 9 CI’s and together with Paul Nathanail (UoN – Geography) he is responsible for Theme #5.
Shabbar Naqvi has a paper accepted at IEEE WCCI 2014, being held in Beijing, China.
The paper is entitled “A General Type-II Similarity Based Model for Breast Cancer Grading with FTIR Spectral Data” and features Dr Simon Miller and Prof Jon Garibaldi as co-authors.
The University of Nottingham has received funding to develop a Synthetic Biology Research Centre which will provide groundbreaking sustainable routes to important chemicals.
Thanks to funding from Biological Sciences Research Council (BBSRC) and the Engineering and Physical Sciences Research Council (EPSRC), Professor Nigel Minton and his team at Life Sciences
Centre for Biomolecular Sciences, will use synthetic biology to engineer microorganisms that can be used to manufacture the molecules and fuels that modern society needs in a cleaner and greener way.
They aim to use bacteria to convert gasses that are all around us (such as carbon monoxide (CO), carbon dioxide (CO2) and methane (CH4)) into more desirable and useful molecules, reducing our reliance on petrochemicals.
IMA’s Dr Jamie Twycross and Prof Garibaldi are named as Co-investigators of the grant.
Dr Daniel Soria and Prof Garibaldi have had a paper accepted for publication in the British Journal of Cancer.
Current management of breast cancer (BC) relies on risk stratification based on well-defined clinicopathologic factors. Global gene expression profiling studies have demonstrated that BC comprises distinct molecular classes with clinical relevance. In this study, we hypothesized that molecular features of BC are a key driver of tumour behaviour and when coupled with a novel and bespoke application of established clinicopathologic prognostic variables, can predict both clinical outcome and relevant therapeutic options more accurately than existing methods. In the current study, a comprehensive panel of biomarkers with relevance to BC was applied to a large and well-characterised series of BC, using immunohistochemistry and different multivariate clustering techniques, to identify the key molecular classes. Subsequently, each class was further stratified using a set of well-defined prognostic clinicopathologic variables. These variables were combined in formulae to prognostically stratify different molecular classes, collectively known as the Nottingham Prognostic Index Plus (NPI+). NPI+ was then used to predict outcome in the different molecular classes with. Seven core molecular classes were identified using a selective panel of 10 biomarkers. Incorporation of clinicopathologic variables in a second stage analysis resulted in identification of distinct prognostic groups within each molecular class (NPI+). Outcome analysis showed that using the bespoke NPI formulae for each biological breast cancer class provides improved patient outcome stratification superior to the traditional NPI. This study provides proof-of-principle evidence for the use of NPI+ in supporting improved individualised clinical decision making.
Dr Christian Wagner has a paper accepted in the The IEEE Transactions on Fuzzy Systems Journal.
The fuzzy integral (FI) is an extremely flexible aggregation operator. It is used in numerous applications, such as image processing, multi-criteria decision making, skeletal ageat- death estimation and multi-source (e.g., feature, algorithm, sensor, confidence) fusion. To date, a few works have appeared on the topic of generalizing Sugeno’s original real-valued integrand
and fuzzy measure (FM) for the case of higher-order uncertain information (both integrand and measure). For the most part, these extensions are motivated by, and are consistent with,
Zadeh’s extension principle (EP). Namely, existing extensions focus on fuzzy number- (FN), i.e., convex and normal fuzzy set- (FS), valued integrands. Herein, we put forth a new definition,
called the generalized FI (gFI), and efficient algorithm for calculation for FS-valued integrands. In addition, we compare the gFI, numerically and theoretically, with our non EP-based
FI extension called the non-direct FI (NDFI). Examples are investigated in the areas of skeletal age-at-death estimation in forensic anthropology and multi-source fusion. These applications
help demonstrate the need and benefit of the proposed work. In particular, we show there is not one supreme technique. Instead, multiple extensions are of benefit in different contexts
Congratulations to our PhD student, Shabbar Naqvi, for passing his viva recently (subject to corrections).
The title of his thesis is “Modelling FTIR Spectral Data with Type-I and Type-II Fuzzy Sets for Breast Cancer Grading” and his supervisors are Prof Jon Garibaldi and Dr Simon Miller.
Hui Yang joined IMA as an ADAC Analyst on 1st December. She will be working with Jon and the rest of the ADAC team, and will be based out of office B30.
The term Intelligence in Intelligent Transport Systems (ITS) mainly refers to innovation in methodologies and the creation of additional services rather than for computational intelligence related algorithms and systems. This talk will highlight some of these gaps in applied intelligent methods with a focus on one specific case: iTRAQ.
iTRAQ – Integrated Traffic Management and Air Quality using Space Services is a European Space Agency funded project led by a consortium of UK industry, academic and local authority partners. The consortium developed and validated a dynamic system for optimising the use of the road network balanced with the need to sustain high standards of air quality. iTRAQ uses a number of inputs that enable it to sense the current situation in near-real-time and provide accurate forecasts using Artificial Neural Networks. The system then uses CI optimisation techniques together with the predictions to provide enhanced traffic and air quality management strategies.
The seminar will take place in C1 on 25th November 2013
IMA is very pleased to announce the appointment of Jenna Reps as a Research Associate.
Jenna has been with IMA for 3 years as a PhD student, working on the THIN database. She is supervised by Prof Jon Garibaldi and Prof Uwe Aickelin, and is currently writing up. In her new appointment, she will be working alongside Prof Uwe Aickelin.