Salem AlMarri, the first Emirati Ph.D. graduate from MBZUAI, developed a video anomaly detection (VAD) system for his thesis. The VAD system can detect subtle anomalies in video, such as suspicious interactions, to help police prevent crimes and save lives. AlMarri's work was carried out under the guidance of Karthik Nandakumar, Affiliated Associate Professor of Computer Vision at MBZUAI. Why it matters: This research showcases the potential of AI in enhancing public safety and security in the UAE, demonstrating practical applications of computer vision in law enforcement.
MBZUAI PhD student Salem AlMarri, also a Dubai Police officer, has been appointed to the Dubai Youth Council for 2023-2025. AlMarri's research focuses on using AI to combat crime and improve emergency response times, aiming to contribute to the UAE's AI strategy. In 2019, he was recognized as one of the UAE’s up and coming scientist at the Her Highness Sheikha Fatima Bint Mubarak Program for Excellence and Community Intelligence. Why it matters: This appointment highlights the UAE's focus on empowering young talent in AI to drive innovation and address local challenges in public safety and smart city development.
Jose Martinez, a Principal Researcher at the DSRC, was named one of Google's Top 20 Chrome Vulnerability Researchers for 2021, ranking 14th. He was recognized for detecting and demonstrating the exploitation of a serious vulnerability in the Chrome browser. This helped Google improve Chrome's security and contributed to safer development practices. Why it matters: The recognition highlights the growing cybersecurity expertise within the UAE and TII's ability to attract global talent in advanced security research.
Cryptography Research Center's Prof. Francisco Rodriguez-Henriquez and PhD candidate Jorge Chavez-Saab won a Best Paper Award ahead of Asiacrypt 2022. Their paper, "SwiftEC: Shallue-van de Woestijne Indifferentiable Function to Elliptic Curves," was written in collaboration with Mehdi Tibouchi of NTT. The paper presents an improved variation of the Elligator Squared technique for representing points of arbitrary elliptic curves as close-to-uniform random strings. Why it matters: The award recognizes important cryptographic research from the UAE, contributing to the advancement of secure digital solutions.
A team from the Cryptography Research Center (CRC) secured 6th place out of 210 teams in the 'Donjon CTF 2021: Capture the Fortress' cybersecurity competition. The competition featured jeopardy-style challenges covering cryptography, reverse engineering, and hardware security. The CRC team participated to improve visibility and assess team capabilities, particularly in hardware security. Why it matters: The CRC team's strong performance highlights the growing cybersecurity expertise in the UAE and its attractiveness for talent in this field.
Researchers from the AI and Digital Science Research Center (AIDRC) won the Best Paper Award at the 2022 IEEE Global Communications Conference (GLOBECOM) for their paper "RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach". The paper introduces a dual-polarized RSMA technique for downlink massive MIMO networks, using the polarization domain. Their approach relaxes the computational burden of successive interference cancellation and delivers high data rates. Why it matters: This award recognizes impactful research from the UAE on optimizing wireless communication using AI, which can contribute to advancements in 5G and beyond.
MBZUAI graduates Abdulla and Abdulrahman Almarzooqi are developing AI systems to improve UAE road safety. Abdulla's research focuses on external highway monitoring using MLLMs to analyze driving scenes and generate accident reports, while Abdulrahman's work uses in-cabin sensors to detect driver fatigue and distractions. Together, their systems aim to create a comprehensive view of factors influencing traffic accidents, with potential applications in ADAS and automated accident reporting. Why it matters: This research showcases the potential of AI agents and multimodal LLMs to proactively enhance road safety in the UAE and reduce traffic-related incidents.