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Results for "Fatima AlKhoori"

Driving towards innovation: a visionary approach to traffic sign detection and recognition

MBZUAI ·

MBZUAI student Fatima Ahmed Khalil Mohamed Alkhoori is researching machine learning techniques to improve traffic sign recognition for autonomous vehicles. Her work focuses on using transformer model architectures to enhance the ability of autonomous vehicles to accurately recognize traffic signs in varying environmental conditions. The research aims to address challenges such as viewing angle, lighting variations, and shadows that can confuse regular models. Why it matters: This research contributes to the advancement of safe and effective autonomous vehicle navigation, aligning with the UAE's vision of having a world-class transportation system.

10 in 10: Q&A with Emirati engineers, Fatima and Rzan

MBZUAI ·

MBZUAI celebrates Emirati master’s students Fatima AlKhoori (transportation engineering) and Rzan Alhaddad (mechanical engineering) for International Women in Engineering Day. AlKhoori is a transportation engineer involved with the UAE’s Youth Sustainable Development Goal’s Council. Alhaddad, who MC'd MBZUAI’s Class of 2023 Commencement, is passionate about applying AI to environmental sustainability. Why it matters: The article highlights the increasing role of Emirati women in STEM and AI, particularly in applying machine learning to address sustainability challenges.

Recognizing five Emirati women championing AI, entrepreneurship, and leadership in the UAE

MBZUAI ·

MBZUAI highlighted five Emirati women making contributions in AI, entrepreneurship, and leadership, coinciding with Emirati Women’s Day. Fatima AlKhoori is pursuing a Ph.D. at MBZUAI, researching transformer models for autonomous vehicle traffic sign recognition using UAE and German datasets. Dr. Hanan Aldarmaki, an MBZUAI assistant professor, specializes in Arabic speech and language processing. Why it matters: Showcasing Emirati women in AI underscores the UAE's commitment to gender diversity and national talent development in advanced technology fields.

ARRC’s Fatima Ali AlNuaimi becomes first Emirati researcher from Center to have two research papers published by IEEE BIBM 2022

TII ·

Fatima Ali AlNuaimi from the Autonomous Robotics Research Center (ARRC) had two research papers on brain-computer interface (BCI) technology published at the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2022. The papers are titled “Real-time Control of UGV Robot in Gazebo Simulator using P300-based Brain-Computer Interface” and “Secure Password Using EEG-based BrainPrint System: Unlock Smartphone Password Using Brain-Computer Interface Technology”. AlNuaimi is recognized as a young Emirati scientist advancing BCI knowledge in the UAE. Why it matters: This highlights growing BCI research capabilities in the UAE and the contributions of Emirati researchers to this emerging field.

DERC's Aysha Al Neyadi Wins Competition for Reports by Young Scientists

TII ·

DERC's Aysha Al Neyadi won the Young Scientists Competition at the 14th International Conference Interaction of Radiation with Solids in Minsk, Belarus. Aysha co-authored a paper with researchers from Belarus State University and TII on the structure and phase composition stability of amorphous zirconium irradiated with helium ions. The paper examined amorphous alloy samples based on zirconium irradiated with Helium ions at 40 keV. Why it matters: This award recognizes contributions to materials science and highlights international research collaborations involving UAE institutions.

ARRC Team’s Research Paper Features in IEEE Transactions on Industrial Informatics Journal

TII ·

A research paper by Fatima Al Nuaimi, Dr. Pietro Tedeschi, and Dr. Enrico Natalizio from the Autonomous Robotics Research Center (ARRC) has been published in IEEE Transactions on Industrial Informatics. The paper, titled “Privacy-Aware Remote Identification for Unmanned Aerial Vehicles: Current Solutions, Potential Threats, and Future Directions”, examines vulnerabilities in UAV Remote ID systems. It identifies challenges for industry and academia in enhancing UAV security and privacy. Why it matters: The research highlights critical security and privacy considerations for the rapidly growing UAV sector in the region and globally.

Mae AlMansoori becomes first woman from the region to receive IEEE’s Mojgan Daneshmand Grant

TII ·

Mae AlMansoori, a Senior Researcher at the Directed Energy Research Center (DERC) in the UAE, has been awarded the IEEE Mojgan Daneshmand Grant. She is the first woman from the UAE and the region to receive this grant, which recognizes women in STEM. AlMansoori will receive a $1,500 prize and present a paper at the IEEE International Symposium on Antennas and Propagation in Denver. Why it matters: This award highlights the growing role of women in STEM fields in the UAE and provides a platform for regional researchers to gain international recognition.