Asma Al-Othni is a PhD student at Hamad Bin Khalifa University’s Qatar Center for Quantum Computing. Her current research focuses on Quantum Generative AI, specifically in the areas of Large Language Models (LLMs) and Transformers. She received her bachelor’s degree in Computer Engineering from Qatar University in 2018 and her master’s degree in Cybersecurity from Hamad Bin Khalifa University in 2025, where her research focused on Quantum Generative Adversarial Networks.

Concurrently, Asma works as a Computer Engineer at the Ministry of Environment and Climate Change. In this role, she is responsible for the cybersecurity of the ministry’s IT infrastructure, drawing upon her experience in systems and networking. Additionally, she contributes to initiatives aimed at integrating Generative and Agentic AI within the ministry’s operational framework, bridging her research to aid the ministry’s digital evolution in alignment with Qatar’s national digital transformation goals.

Syed Muhammad Arslan Anis is a PhD student at Hamad Bin Khalifa University (HBKU), specializing in Quantum Communication with a focus on Quantum Key Distribution (QKD) and Device-Independent Cryptography. His research explores the intersection of quantum communication protocols and cryptographic security. His academic journey is marked by a strong foundation in applied cryptography, quantum computation, and communication technologies, complemented by interdisciplinary collaborations. His goal is to advance scalable, secure, and practical quantum communication systems that can be deployed in real-world settings.

Nora Mohamed is currently a Ph.D. student at Hamad Bin Khalifa University (HBKU), where her research focuses on quantum computing with a special interest in optimization. Nora received a Master’s degree in Cybersecurity from HBKU in 2024 and a Bachelor’s degree in Computer Science from Qatar University in 2021. Her main research interests include exploring how quantum computing can be applied to solve complex optimization problems, comparing its performance with classical approaches, and examining different quantum optimization methods.

Jawaher Kaldari is a second-year Ph.D. student at Hamad Bin Khalifa University. She received her bachelor’s degree in Electrical Engineering from Texas A&M University at Qatar in 2021 and her master’s degree in Cybersecurity from Hamad Bin Khalifa University in 2024. She was elected to the IEEE honor societies Eta Kappa Nu (2020) and Tau Beta Pi (2021). Her current research focuses on Quantum Reinforcement Learning, alongside work in Quantum Machine Learning (QML) and physical layer security.

Johanne Medina is a research associate at Qatar Computing Research Institute (QCRI). She holds a BSc. in Computer Engineering and an MSc. in Data Science and Engineering both from Hamad Bin Khalifa University. Aside from her interest in academic research, Johanne also provides expertise in full-stack web and app development, data management, and specialization in AI and Machine Learning. In her work in QCRI, her areas of focus include mobile learning in personalized education, social media analytics, and user personas, utilizing Large Language Models.