ICT4D:
ICT4D stands for Information and Communication Technologies for Development. It
refers to the use and application of technology and digital tools to assist poor and
marginalized people in developing communities. ICT4D is an initiative aimed at bridging
the digital divide and aiding equitable access to up-to-date communications. It is
concerned with using new and existing technologies to extend the reach of
communication and information resources, with the goal of accomplishing economic
and social development goals. By promoting equitable access to information and
communication technologies, ICT4D aims to improve people’s lives and reduce poverty.
NETWORKING AND INFORMATION SECURITY CLUSTER (NISC)
RESEARCH AREAS:-
- Privy
- Vulnerability scanning
- Intrusion detection
- Database and workflow security
- Digital forensics
- Distributed trust and security issues in pervasive computing
- Mobile networks
- Ad-hoc networks
- Parallel distributed computing
SIMULATION AND MODELLING RESEARCH CLUSTER
RESEARCH AREAS:-
- Mathematical model
- Simulation software
- Events Modelling
- Events Simulation
- Supply Chain Management
- Semantic Technology
- Ontology Technology
- Systems Dynamics
AIMS AND OBJECTIVES
The simulation and modelling research cluster undertakes research in o Mathematical
models, simulation software, Events Modelling, Events Simulation, Supply Chain
Management, Semantic Technology, Ontology and Systems Dynamics.
COGNITIVE SCIENCE RESEARCH CLUSTER
RESEARCH AREAS: -
- Predictive Models
- Natural Language Processing
- Computer Vision
- Neural Networks
- Machine Learning
- Artificial Agent
- Reasoning and Knowledge Representation
AIMS AND OBJECTIVES
The Cognitive Science Research Cluster (CSRC) endeavours to research and develop cognitive
technologies for developing economies. The focus of the cluster is towards providing
indigenous solutions to sub-Saharan knowledge societies.
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MODELLING OF BIOMEDICAL SYSTEMS RESEARCH GROUP (MBSRG)
The group uses mathematical modelling techniques to, identify, isolate and understand the
factors governing the transmission and persistence of an infection. The models are used to
project the incidence, prevalence and spatial distribution of the infection. Possible
interventions such as quarantine, mass vaccination, educational campaigns, treatment and
drug efficacy and safety are built into the models. The group is then able to evaluate the
efficacy and cost effectiveness of public health intervention strategies and advise public
health officials on optimal resource allocation. Mathematical modelling is an inexpensive,
quick way of resolving a physical/biological problem by expressing it in mathematical
language and then using mathematical tools to analyse the problem before reverting the
solution back to the physical problem. In this regard, great potential exists for the
employment of mathematical models to plan and evaluate intervention programs.
