iHELP: Intelligent Holistic Emergency Logistics Platform

A cloud-based simulation platform for planning and optimizing the use of resources in emergencies and disasters. No software to install, just a web browser.

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iHELP: Intelligent Holistic Emergency Logistics Platform

A Social Media analytics module that uses Natural Language Processing (NLP) AI technology to extract trustworthy disaster information from posts and tweets. It uses AI image recognition technology to recognize images that are disaster-related and classifies them (flood, fire, collapse among others).

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iHELP: Intelligent Holistic Emergency Logistics Platform

iHELP implements a simulation and optimization framework to generate operational plan for complex logistical problems in crises situations. Multi organizations can be part of the same disaster scenario and iHELP can coordinate their use of resources effectively

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iHELP: Intelligent Holistic Emergency Logistics Platform

iHELP has the ability to handle disruptions to the operational plan and reroute transporters. It includes a weather module to forecast extreme weather conditions in the disaster area to assess the impact on the plan

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Best Plan for Worst Case Scenarios

The number of disasters worldwide between 2005 and 2014 not including wars, diseases or epidemics was over 6 thousands (an average of about 600 disasters per year). This amounts to over 800,000 deaths, close to 2 million affected people, and over $1.6 trillion in estimated damages.

When disasters occur the situation become chaotic due to lack of resource coordination among governments, emergency response units, and humanitarian relief organizations. In many cases, resources and volunteers may be available to help but there is no optimized system to match the resources and skills with the needs across different organizations and stakeholders. iHELP was developed to address this problem.

iHELP matches the needs at the affected locations with available resources and humanitarian relief. The combinations of commodities, people and other resources are then prioritized by algorithms that consider priorities, transportability and compatibility of items as well as transporters capacity and utilization.

Cloud-Based Solution
Latest Technologies
Machine Learning & AI
Modeling & Optimization
About Us

Welcome to iHelp

iHELP is owned by POLARes LLC , a Virginia based start-up that was founded by Ghaith Rabadi, Professor of Engineering Management & Systems Engineering at Old Dominion University, Norfolk, Virginia, and an entrepreneur.

iHELP is a cloud-based simulation platform used by government and nongovernment organizations of rapid response and emergency management. Currently this effort is supported by NATO’s Innovation Hub and the innovation branch of NATO ACT

Prior to receiving support from NATO ACT, the initial work on iHELP was awarded the first place in NATO’s Global Innovation Challenge in 2017 which was sponsored by Old Dominion University and NATO’s Innovation Hub. Additional support was then provided by the National Security Innovation Network (NSIN).


Our Solutions

Logistics plans in crisis situations

iHELP – is a cloud-based simulator that is equipped with optimization algorithms for...

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System Architecture

iHELP consists of the following modules that are programmed in Python:...

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Social Media Analytics

We use AI NLP Machine Learning to identify tweets that relate to a disaster and classify them into event groups …

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Our Partners


A team of faculty and students from Old Dominion University's Department of Engineering Management and Systems Engineering recently won a total of $25,000 for their creative business model at the University's first NATO global innovation challenge. Go to article
One of the primary goals of the NATO Innovation Hub’s Innovation Challenge (IChall) is to collaboratively leverage cross-disciplinary expertise to solve real problems facing the Alliance. The current challenge is focused on “Building trust in Autonomous Systems”
Go to article