A E Solutions (BI) Ltd

Business Intelligence and Health & Wellbeing

R&D

EU FP7 Valcri Project

May 2013 – Jun 2018

The VALCRI research and development programme will lead to the following significant operational user benefits. Intelligence analysts will be able to:

  • Quickly locate interesting and suspicious data from across many different data sets – autonomously or with human assistance
  • Delve deeply into data and to rapidly search across different data sets to retrieve meaningful concepts, and not just key words or frequently occurring words
  • Interact with and directly manipulate data and the algorithms in using information visualisation and dynamic interaction techniques that make visible the reasoning processes and factors considered so as to:

• Encourage alternative reasoning strategies
• Prompt to suggest the need for additional information
• Facilitate the presentation and discussion of alternative points of view
• Encourage questioning of assumptions and conditions under which the intelligence information is used
• Create alternative plausible explanations or lines of inquiry to investigate.

  • Combine real-time semantic search and retrieval capability with advanced automated knowledge extraction and thematic clustering. The system will allow the user to develop interactive visualizations at each stage of the data analysis to help to visually explore the data at different abstraction levels
  • Automatically extract relevant features to events from historical data
  • Search, retrieve and navigate static, streaming and multimodal data based on an self-evolving ontology informed by crime and criminal profiling, and from signature discovery
  • Analyse large volumes of data to identify signatures and patterns of triggers and other precursors to criminal activities from low frequency but significant data
  • Use interactive spatial-temporal visualisations for semantically re-constructing criminal events using associated evidence and supporting data
  • Carry out their work on the system in ways that comply with ethical, privacy and legal expectations

EU FP7 Mosaic Project

Apr 2011 – Jul 2014

Inside the MOSAIC project, the consortium is going to research and develop a multi-modal data intelligence capture and analytics system. The aim is to support decision making by automated detection, recognition, geo-location and mapping, including intelligent decision support at various levels to enhance situation awareness, surveillance targeting and camera handover.
Accordingly, research sub-goals inside MOSAIC are:
1) A framework for the tagging, search and fusion of data from distributed multi-media sensors, sources and databases, underpinned by standard data ontology,

2) A system architecture to support wide area surveillance with decision support capabilities,

3) Algorithms, including hardware-accelerated ones for smart cameras, which enable disparate multi-media information correlation to form a common operating picture, including representation of temporal information and aspects,

4) Tools and techniques for the extraction of key information from video, un-controlled text and databases using pattern recognition and behaviour modelling techniques,

5) Algorithms and techniques to represent decisions and actions within a mathematical framework, and how this framework can be used to simulate the effects of disturbances on the system.

EU FP6 CrisisProject

May 2010 – Nov 2013

We aim to research and develop a crisis management train-on-demand and simulation platform we shall refer to as CRISIS. The goals of this Collaborative Project are to research and develop in Europe:

1) A training and simulation environment that will focus on real-time decision making and response to simulated but realistic crises or critical incidents, focusing primarily on problem diagnosis, planning, re-planning, and acting, rather than just procedural training or familiarity with policies;

2) A distributed, secure, scalable, collaborative and interactive simulation and on-demand training environment for crisis management training in airports, of individuals, teams, and teams of teams, working across multiple levels of an organisation, between organisations, and across different nations at command post levels;

3) A software architecture that will be capable of being readily re-configured and used for different scenarios at other airports, transport hubs, and other critical sites like power plants or factories;

4) A flexible platform that can also function as a test-bed and evaluation tool for new and current operational procedures, information sharing and planning tools.

EU FP6 MoveON Project

Nov 2006 – Apr 2010

Project description

Technical Project Lead of EU FP6 Funded Project MoveOn. Main responsibilities were the design and implementation of visual and tactile I/O modalities of the minimally-distractive MoveOn multi-modal interface that enabled two-wheeled vehicle drivers to safely access information resources and services online in real-time. Also participated in system prototype integration, and end-user evaluation with police motorcyclists. Worked in collaboration with teams from 6 European countries.

MOD Grand challenge

Aug 2008 – Aug 2008

Project description

Grand Challenge was searching for the best ideas in defence technology to help solve some of the evolving threats facing front line troops.

It also aimed to provide an opening into the UK defence market for new suppliers and investors.

The finale in August 2008 saw best teams battle in tough conditions Army’s Urban Warfare Training Facility at Porton Down.

EU FP6 i-Tracs Project

May 2006 – Jun 2008

Counter-terrorism Identification and Advanced Tracking System using the Analysis of Communication, Financial and Travel Data.

The i-TRACS project aimed to improve the competitiveness of EU private & public organisations in the field of anti-terrorism and homeland security by the research and technological development of an innovative advanced tracking system consolidating and integrating multiple information data sources. The application of a wide spectrum of data sources offered a new level of efficiency.

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