KAUST ·
Antonio Adamo is an assistant professor of bioscience in the Biological and Environmental Science and Engineering Division at KAUST. He is highlighted in a KAUST faculty focus. Why it matters: Showcases KAUST's faculty expertise in bioscience.
KAUST ·
KAUST's Laboratory of Stem Cells and Diseases, led by Assistant Professor Antonio Adamo, uses induced pluripotent stem cells (iPSCs) to model diseases like diabetes. The lab employs a reprogramming technique to revert patient fibroblasts into iPSCs, enabling the study of disease progression in vitro. Adamo's research focuses on enzymes and disregulated transcriptional/epigenetic mechanisms to understand disease onset. Why it matters: This research contributes to regenerative medicine and offers insights into metabolic diseases relevant to the GCC region.
TII ·
Prof. Luigi Amico of the Quantum Research Center (QRC) has been awarded a US$250,000 Julian Schwinger Foundation (JSF) Grant for his 'Rydberg Atomtronics' project. The project involves experimental sampling managed by Prof. Oliver Morsch’s group in Pisa and will run in collaboration with the University of Catania and the University of Pisa. The grant will facilitate the development of quantum circuits using Rydberg excitations for fast quantum devices and quantum computing. Why it matters: This funding and collaboration strengthens the UAE's position in quantum computing research and fosters international partnerships in advanced technology.
TII ·
Professor Marco Amabili, advisor at the Advanced Materials Research Center (AMRC), received the 'Cataldo Agostinelli and Angiola Gili Agostinelli' International Prize from the Lincei National Academy of Sciences of Italy. The award recognizes Prof. Amabili's research in mechanical vibrations, composite structures, and vascular biomechanics. He received the award in Rome from Nobel laureate Professor Giorgio Parisi. Why it matters: The recognition highlights the growing international visibility of UAE-based researchers and the increasing commitment of UAE institutions like TII to deep-tech research.
KAUST ·
Edama Organic Solutions, a KAUST startup, has opened a new organic waste recycling facility in the KAUST Research and Technology Park. The facility is the first of its kind in Saudi Arabia to use technology for waste processing and desert agriculture solutions. It will recycle 100% of KAUST's food and green waste, producing about 4,500 m3 of soil improver. Why it matters: This supports Saudi Vision 2030 by addressing environmental pollution and promoting sustainable agriculture in arid regions, aligning with the Saudi Green Initiative.
KAUST ·
Muhammed Sameed, a 2012 KAUST alumnus, co-authored a paper published in Nature about antimatter. Sameed currently works at CERN in Switzerland. The research was featured on the KAUST website. Why it matters: The publication highlights KAUST's role in fostering scientific talent who contribute to high-impact research globally, even if the specific research is not focused on the GCC region.
KAUST ·
KAUST postdoctoral fellow Elisabetta Fiacco won the Best Poster Prize at the Spetses Summer School 2018 on Chromatin and Metabolism for her research on the role of carbohydrate-responsive element binding protein (ChRBP) during the onset of type 2 diabetes. Fiacco's research at KAUST, under Assistant Professor Antonio Adamo, uses human induced pluripotent stem cells to understand the epigenetic and transcriptional mechanisms dysregulated in type 2 diabetes. She also gave a 15-minute oral presentation on her work at the event, which gathered over 80 participants from top global universities. Why it matters: This recognition highlights KAUST's contribution to cutting-edge research in regenerative medicine and the study of metabolic disorders prevalent in the region.
TII ·
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.