Page 21 - Issue289

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ـه1446 لا�س� ددـــــ ـــــعلا Forum 21
م2025 ليربإا

PSU ReSeaRCHeRS

Set a New Record with the Highest Impact

Factor Publication in University History

Dr. Sajjad Ali and Prof. Mohamed Bououdina introduces MXenes, an advanced material that
from Prince Sultan University’s Energy, Water, improves the efficiency of the hydrogen evolution
and Environment Lab have achieved a historic reaction (HER)—a key process for green hydrogen
milestone with their latest research article fuel production. This discovery paves the way
published in the prestigious journal Nano-Micro for more efficient, cost-effective, and durable
Letters, a Springer Nature publication. With an catalysts, accelerating the global transition to
Impact Factor of 31.6, this marks the highest- clean energy solutions.
impact publication ever recorded in Prince Sultan On behalf of the university, the Research and
University’s research history. Initiatives Center congratulates the authors on
Primary authors Dr. Zhihao Lei from the University this achievement, as it reinforces Prince Sultan
of Newcastle, Australia, and Dr. Sajjad Ali led
the study, which was co-authored by a team of University’s commitment to
international researchers. Both also contributed pioneering scientific research
equally to the research. Their paper, "Transition and innovation.
Metal Carbonitride MXenes Anchored with Pt Sub- Read the full paper here:
Nanometer Clusters to Achieve High-Performance https://doi.org/10.1007/
Hydrogen Evolution Reaction at All pH Range," s4082001654--025-y

PSU Team Wins Third Place in the CVPR
2025 Night Photography Challenge Robotics & Internet-of-Things Laboratory
(RIOTU) Launches Distinguished Talk Series
Prince Sultan University (PSU) has earned Internet-of-Things Lab (RIOTU Lab) at PSU with Focus on Recent Trends in AI
international recognition by winning third for their innovative development of DLENet,
place in the Night Photography Rendering a state-of-the-art generative AI model
Challenge at the prestigious Computer designed to enhance low-light smartphone The Robotics and Internet-of-Things Laboratory (RIOTU) at Prince Sultan
Vision and Pattern Recognition Conference photography. The model successfully restores University has proudly launched its Distinguished Talk Series, an initiative
2025 (CVPR 2025), one of the world’s top night-time images to professional-grade aimed at fostering knowledge exchange on emerging trends in artificial
conferences in artificial intelligence. quality, demonstrating major advances in intelligence and intelligent systems. The inaugural session, held on April 8,
Only 10 finalists were selected out of 124 deep learning, image restoration, and mobile 2025, featured an engaging and forward-looking talk by Prof. Wadii Boulila,
international participants. Prince Sultan imaging applications. Professor of Computer Science in the Department of Computer Science,
University ranked third, following Nanjing College of Computer and Information Sciences, and leader of the RIOTU
University of Science and Technology, which The winning RIOTU Lab team members are: Lab.
secured first place, and Xiaomi, which took ● Eng. Anas M. Ali Titled “Teaching AI with Less Data: Few-Shot and Self-Supervised
second. This accomplishment highlights ● Eng. Hamad Aloqayli Learning for Human-Like Intelligence,” the talk addressed some of the
Prince Sultan University’s rising prominence ● Dr. Bilel Benjdira most pressing challenges in modern AI—namely, how to train intelligent
on the global research stage and its ability ● Dr. Wadii Bouilla models with limited data while maintaining performance, adaptability, and
to compete alongside world-renowned The award ceremony will be held on June interpretability.
institutions and tech giants. 11, 2025, during the CVPR Conference in Prof. Boulila introduced participants to few-shot learning and self-
The award was given to the Robotics and Nashville, Tennessee, USA. supervised learning—two transformative approaches enabling AI systems
to generalize and learn from minimal supervision. These techniques are
crucial for advancing applications in fields where annotated data is scarce,
such as medical diagnostics, autonomous robotics, and low-resource
language processing. The session drew a diverse audience of around 100
attendees, including faculty members, full-time researchers, and students—
both male and female. The talk not only provided insights into state-of-the-
art learning paradigms but also emphasized the practical potential of these
techniques in building human-like intelligence—an essential milestone in
the journey toward responsible and efficient AI.
“This initiative reflects the commitment of RIOTU Lab to academic excellence
and interdisciplinary collaboration,” said Prof. Boulila. “Through this series,
we aim to connect cutting-edge research with real-world impact.”
The RIOTU Lab plans to host more high-impact talks throughout the year,
inviting prominent researchers and industry experts to share insights and
inspire the next generation of innovators in artificial intelligence and the
Internet of Things.