Crisis Computing Team
The aims of the Crisis Computing team are to conduct applied and core computer science research and to build AI-based innovative technologies that can be used by decision-makers, NGOs, and affected communities to improve the effectiveness of humanitarian strategies such as preparedness, mitigation, and response during humanitarian crises and emergencies.
We apply natural language processing, machine learning, and computer vision techniques to crisis information communicated via social media to gain situational awareness and actionable information for the humanitarian response. This research and development effort is currently focused on consuming social media content available in different forms (e.g., text, image, video, etc.) on Twitter and Facebook and is coordinated in collaboration with several regional and global partners, including UNDP, UN OCHA, UNICEF, Suffolk County Fire Rescue and Emergency Management Department in New York, and Education Above All.
Current Team Members:
- Muhammad Imran – Team lead
- Ferda Ofli – Computer Vision Science lead
- Ali Diba – Scientist
- Aisha Morshid AL-Mohannadi – PhD student
- Ahmed El Fekih Zguir – Research Assistant
- Noora Al-Emadi – Senior Software Engineer
- Anas Al-Nuaimi – Senior Scientist
Alumni:
- Mahima Aggarwal – Research Assistant
- Abdul Wahab Ziaullah – Research Assistant
- Zainab Akhtar – Research Assistant
- Umair Qazi – Research Assistant
- Rizwan Sadiq – Postdoc
- Aya El-Sakka – Research Assistant
- Carlos Castillo – Project Co-lead
- Patrick Meier – Project Co-lead
- Prasenjit Mitra – Principal Scientist
- Heather Leson – Program Manager
- Firoj Alam – Scientist
- Ji Lucas – Senior Software Engineer
- Koushik Sinha – Senior Software Engineer
- Meghna Singh – Software Engineer
- Ehsan Ullah – Software Engineer
- Michael Aupetit – Scientist (HCI – part-time)
- Noora Mohamed Al Emadi – Software Engineer
- Dat Nguyen – Research Assistant
- Jakob Rogstadius – Research Associate
Crisis Computing 