KAUST Associate Professor Taous-Meriem Laleg-Kirati leads the Estimation, Modeling and ANalysis (EMAN) research group, focusing on control theory, system modeling, and signal applications. Her group develops mathematical models and algorithms to control processes relying on real-time feedback, especially for systems where experimental data is limited. The EMAN group recently developed a real-time control algorithm for a solar membrane distillation system, increasing water production by over 50% in simulations. Why it matters: Laleg-Kirati's work advances both engineering and healthcare by combining model-based research with AI, offering opportunities for personalized medicine and efficient resource management in the region.
KAUST Ph.D. student Mohamed Bahloul received a best paper award at the IEEE Engineering in Medicine and Biology Society (EMBC ‘18) for the Africa and Middle East region. Bahloul's paper presented a three-element fractional-order viscoelastic Windkessel model developed in the EMAN group at KAUST. The model incorporates a fractional-order capacitor, potentially enabling earlier prediction of cardiovascular diseases. Why it matters: The award recognizes impactful research in biomedical engineering at KAUST and highlights the potential for advanced modeling techniques to improve healthcare in the region.
KAUST researchers used electron tomography and X-ray photoelectron spectroscopy to study charge storage in manganese oxide electrodes for supercapacitors. They found that the electrolyte etches nanoscale openings in the manganese oxide sheets, increasing electrolyte permeability and energy density during cycling. 3D tomography revealed how the electrode's morphological evolution increases its surface area, enhancing energy densities. Why it matters: The research provides insights into improving the cycling stability of pseudocapacitive materials, which are crucial for developing high-performance supercapacitors.
KAUST researchers used cryogenic electron microscopy (cryo-EM) to study the 3D structure of protein complexes involved in DNA replication and repair. They investigated the interaction between the Y-family TLS polymerase Pol K and mono-ubiquitylated PCNA. The study revealed that DNA binding is required for Pol K to form a rigid, active complex with PCNA. Why it matters: Understanding these structural interactions may provide insights into cancer development and drug resistance mechanisms.
KAUST hosted the Electron Microscopy Frontiers conference from December 9-11, marking five years of electron microscopy activities at the university. The symposium featured over 20 speakers from international universities and research institutions. It aimed to foster scientific collaborations and showcase KAUST's growing role as a leading electron microscopy laboratory in the Middle East. Why it matters: The conference signals KAUST's ambition to become a hub for advanced microscopy research and collaboration in the region, potentially driving innovation in materials science and bioscience.
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 researchers developed a new methodology for high-resolution transmission electron microscopy (TEM) imaging of beam-sensitive materials. The method addresses challenges in acquiring images with low electron doses, aligning images, and determining defocus values. The processes incorporate two provisional patents and are applicable to aligning nanosized crystals and noisy images with periodic features. Why it matters: This advancement enables the study of delicate materials like MOFs at atomic resolution, with broad applications in materials science and nanotechnology.
NYUAD and MBZUAI co-hosted the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) in Abu Dhabi from December 7-11. EMNLP is a top-tier NLP and AI conference organized by the ACL special interest group on linguistic data (SIGDAT). MBZUAI's Natural Language Processing Department is actively developing NLP datasets and methods to solve social problems. Why it matters: Hosting EMNLP in the UAE highlights the growing importance of NLP research in the region and the increasing contributions of local institutions like MBZUAI to the field.