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	Mar 28, 11:00 - 11:30, Industry-relevant implicit LES via spectral/hp element methods (KAUST Library), Gianmarco Mengaldo, Assistant Professor of Fluid Mechanics, Department of Mechanical Engineering, National University of Singapore	Conference
	Jafar Binghanem, Intern (former), King Abdullah University of Science and Technology
	Jalal Saleem, Visiting Student	cybersecurity
	Jiahao Hu, M.S. Student, King Abdullah University of Science and Technology
	Jiahao Wei, M.S. Student, Photonics Laboratory	Photonics and optoelectronics
	Juan Pablo Muñoz Díaz, Ph.D. Student, Applied Mathematics and Computational Sciences	applied mathematics, bifurcation theory, bioscience, deep learning, Dynamical Systems
	Kaiqiang Lin, Postdoctoral Research Fellow, Electrical and Computer Engineering	LoRAWAN, Reinforcement Learning, Space-Air-Ground-Underground Integrated Networks, Wireless Energy Transfer, Wireless Underground Sensor Networks
	Karen Sanchez, Postdoctoral Research Fellow	AI for healthcare, Computer Vision, deep learning, machine learning, Medical imaging
	Katerina Nik, Assistant Professor, Applied Mathematics and Computational Sciences	calculus of variations, fluid dynamics, free boundary problems, Mathematical Biology, mean curvature flow, Microelectromechanical, Partial Differential Equations
	Katja Gorenflot, Graduate Program Student Advisor, Computer, Electrical and Mathematical Sciences and Engineering
	KAUST Discovery
	KAUST Researchers Earn Dual Bell Finalist Selections (News Clip, Awards)	News Clip, Awards
	Khalid Kanaan, M.S. Student, Electrical and Computer Engineering	machine learning for wireless communication, Massive MIMO, multimodal sensing
	Lama Burhan Niyazi, Ph.D. (former), Computer, Electrical and Mathematical Sciences and Engineering
	Levina Perzhilla, M.S., Electrical and Computer Engineering	development
	Lisa Gaedke-Merzhäuser, Postdoctoral Research Fellow, Statistics
	Lisandro Dalcin, Research Scientist, Hierarchical Computations on Manycore Architectures	fluid dynamics, High Performance Computing, petsc
	Madi Makin, Ph.D. Student, Electrical and Computer Engineering	non-orthogonal multiple-access NOMA networks, physical-layer security, reconfigurable intelligent surface
	Mahmoud Yaseen, Visiting Scholar, King Abdullah University of Science and Technology
	Majed Sofiani, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Dynamical Systems, Liquid Crystals, non-linear partial differential equations
	Maksim Chupin, Ph.D. Student, Applied Mathematics and Computational Sciences
	Mar 29, 18:00 - 18:45, Massively Parallel Models of Human Hemodynamics (KAUST Library), Amanda Randles, Assistant Professor of Biomedical Sciences, Duke University, USA	Conference
	Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences	aeroacoustics, fluid dynamics, High Performance Computing, Numerical Optimization, Structure-Preserving Algorithms
	Melih Ucer, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences
	Meng Tang, Postdoctoral Research Fellow, Computer, Electrical and Mathematical Sciences and Engineering	spin-orbit torque, Spintronics, Spintronics devices, thin films
	Mar 29, 21:00 - 21:30, MFEM: Accelerating Efficient Solution of PDEs at Exascale (KAUST Library), Tzanio Kolev, Center for Applied Scientific Computing, Director of the Center for Efficient Exascale Discretizations, Lawrence Livermore National Laboratory, USA	Conference
	Mhd. Emad Alolaby, Associate Editor, King Abdullah University of Science and Technology	5G networks, AI, deep learning, Digital Communications, GSM, MATLAB, Network Design, optical fiber, telecommunication
	Mikhail Mishevskii, Ph.D. Student, Electrical and Computer Engineering	integrated photonics, Nonlinear Optics, ultrafast fiber lasers
	Mohamed Ads, Visiting Student (former), King Abdullah University of Science and Technology	artificial intelligence, Cyber Security, IoT, LED Wireless Communication Systems, machine learning, Smart Wireless Massive Systems, Telecommunications
	Mohamed Afouene Melki, M.S. Student, Electrical and Computer Engineering
	Mohamed Fakeih, M.S. Student, Computer Science
	Mohammed A Shukri, Consultant (former), King Abdullah University of Science and Technology	AI, BLE communication, Neural Networks, Python
	Mohammed Alwagait, Ph.D. Student, Electrical and Computer Engineering	adaptive control, Aerial Robotics, Reinforcement Learning, UAV
	Mohammed Amine Labbas, Visiting Student (former), King Abdullah University of Science and Technology	embedded systems, IoT, Signal processing, wireless communications.
	Muhammad Dzaky Ivansyah, M.S. Student, Electrical and Computer Engineering
	Muhammad Esmat, Visiting Scholar (former), King Abdullah University of Science and Technology	machine learning, neural network
	Muhammad Muzzammil, Visiting Scholar (former), King Abdullah University of Science and Technology
	Muhammad Samiullah, Intern, Cyber Security and Resilience Technology	cybersecurity, FPGA, LLM, ML
	Muhanned Alsaif, M.S. Student (former), Electrical and Computer Engineering	communication systems, Localization, technology advancements.
	Mutibah Alanazi, Visiting Researcher, Electrical and Computer Engineering	Integrated Photonics technology, quantum communication
	Nabil Mohammed, Research Scientist, Electrical and Computer Engineering	Microgrids, Power electronics, Renewable integrations, Renewable-based power systems
	Najmeddine Dhieb, Research Engineer, Electrical and Computer Engineering	artificial intelligence, Computer Vision, Deep learning, Generative AI and LLMs
	Nizar Ajeeb, Researcher (former), King Abdullah University of Science and Technology	data analysis, MATLAB, Programming language, Web Technologies
	Mar 28, 10:30 - 11:00, Non-ideal compressible-fluid dynamics: a challenge for theory and numerical methods (KAUST Library), Alberto Guardone, Professor of Fluid Mechanics, Politecnico di Milano, Italy	Conference
	Octopus suckers inspire sticky medical patch (News Clip, News)	News Clip, News
	Oleg Serikov, Research Consultant, Adaptive Machine Learning
	Omar Knio, Professor, Applied Mathematics and Computational Sciences	bayesian inference, combustion, computational fluids mechanics, High Performance Computing, uncertainty quantification
	Mar 29, 09:30 - 09:40, Omar Knio, Dean of CEMSE, Opening remarks (KAUST Library), Omar Knio, Professor, Applied Mathematics and Computational Sciences	Conference
	Omar Rushdi, Visiting Student	cybersecurity
	Mar 29, 11:30 - 12:00, Opportunities and Challenges in Industrial HPC (KAUST Library), Michael M. Resch, Professor, Institute of High Performance Computing (IHR), University of Stuttgart, Germany	Conference
	Mar 28, 19:20 - 20:20, Paradigms for a 21st Century University (KAUST Library), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Conference
	Mar 30, 09:00 - 10:00, Perspectives for multiphase flow at the exascale (KAUST Library), Stéphane Zaleski, Professor of Mechanics, Sorbonne Université, member of the laboratory “Institut Jean Le Rond d’Alembert”	Conference
	Peter Schmid, Professor, Mechanical Engineering	applied mathematics, computational methods, MATLAB, Signal processing
	Mar 29, 18:55 - 19:40, Physics-Based Modeling in the Era of Big Data: Enhancing Physics-Based Models using Data-Based Approaches (KAUST Library), Michael E. Mueller, Associate Professor, Princeton University, USA	Conference
	Mar 29, 12:30 - 14:30, Poster Session - Flow Simulation at the Exascale (KAUST Library)	Conference
	Mar 29, 20:00 - 20:30, Powering HPC Discoveries through New Developments in the Exascale Computing Project (KAUST Library), Dr. Lori Diachin, Principal Deputy Associate Director, Computing Directorate, Lawrence Livermore National Laboratory, Exascale Computing Project	Conference
	Rasha Aljahdali, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	computational fluid dynamics, Runge-Kutta methods
	Rehab Ashri , Senior Communications Specialist, Computer, Electrical and Mathematical Sciences and Engineering
	Research Areas	Research
	Research Areas	Research
	Roman Zamchii, Ph.D. Student, Electrical and Computer Engineering
	Rongxing Hu, Postdoctoral Research Fellow, Secure Next Generation Resilient Systems Lab
	Ruochen Zhu, M.S. Student, Electrical and Computer Engineering	human body communication, IoT
	Saleh Abujubara, Laboratory Manager, Communication and Computing Systems Lab
	Saleh Abujubara, Laboratory Manager, Communication and Computing Systems Lab
	Saleh AlJazzar, Visiting Scholar (former), King Abdullah University of Science and Technology	machine learning, Signal processing, Wireless Communications
	Sami Aldalahmeh, Consultant, King Abdullah University of Science and Technology
	Samy Mounir, M.S. Student, Electrical and Computer Engineering
	Sara Helal, Visiting Scholar, King Abdullah University of Science and Technology
	Saud Alabdulal, M.S. Student, Electrical and Computer Engineering	LiDAR, optical computing
	Saverio Pasqualoni, M.S. Student, Computer Science	collective, communication, HPC
	Mar 28, 09:00 - 10:00, Scaling up Hidden Fluid Mechanics (KAUST Library), George Em Karniadakis, Professor, Applied Mathematics, Brown University, USA	Conference
	Sebastian Leonardo Lalvay Segovia, Sebastian Leonardo Lalvay Segovia > Appointments, Roles and Affiliations
	Serine Medjber, Visiting Student (former), King Abdullah University of Science and Technology	embedded systems, IoT, Signal processing
	Shamael Al-Shuhail, M.S. (former), Electrical and Computer Engineering	Compressed Sensing Approach, Multi-carrier Systems
	Shrey Rakesh Maheshwary, Visiting Student, King Abdullah University of Science and Technology
	Shunyuan Shang, M.S. Student, Electrical and Computer Engineering
	Simon Nik, Postdoctoral Research Fellow, Statistics	discrete time series, extreme-value theory, Statistics of extremes, stochastic partial differential equations
	Simon Tarboush, Member, King Abdullah University of Science and Technology
	Mar 28, 11:30 - 12:00, Simulation-enabled discoveries in wall-bounded turbulent flows (KAUST Library)	Conference
	Sixiu Liu, Ph.D. (former), Earth Science and Engineering	deep learning, seismic processing
	Sofiane Ben Mbarek, Postdoctoral Research Fellow, Electrical and Computer Engineering
	Sultan Al Sulami, Visiting Scholar, King Abdullah University of Science and Technology
	Syed Abidullah Fareed, Visiting Student (former), Information Science Lab	artificial intelligence, computer networks, embedded systems, energy efficiency, intrusion detection, IoT, machine learning
	Tabish Qaseem, Visiting Student, King Abdullah University of Science and Technology
	Terad Alturkistani, Visiting Scholar (former), King Abdullah University of Science and Technology
	Tony Chan, President (former), King Abdullah University of Science and Technology	science, strategic research
	Mar 28, 08:40 - 09:00, Tony Chan, President of KAUST (KAUST Library), Tony Chan, President (former), King Abdullah University of Science and Technology	Conference
	Tudor Ionescu, Visiting Student, Cyber Security and Resilience Technology	Automous Vehicles
	Umar Rashid, Visiting Scholar, King Abdullah University of Science and Technology
	Wei-Cheng Lee, M.S. Student, Computer Science
	Xiaowei Pang, Postdoctoral Research Fellow, Electrical and Computer Engineering	haps, ISAC, Non-Terrestrial Networks
	Xiaoyi Song, Ph.D. Student, Electrical and Computer Engineering	LiDAR, nonreciprocal optical devices, on-chip light source, Silicon photonics
	Xiarui Su, M.S. Student, Electrical and Computer Engineering	6G On-chip reconfigurable intelligent surface
	Xiuping Wang, Ph.D. Student, Applied Mathematics and Computational Sciences
	Yan Wang, M.S. Student, Photonics Laboratory	Photonics and optoelectronics, Ultrawide bandgap materials
	Yasmeen Alsaedy, M.S. Student, Computer Science	artificial intelligence, Generative AI and LLMs
	Yasser Jaber, Visiting Researcher (former), King Abdullah University of Science and Technology	artificial intelligence, machine learning, software
	Yevzhan Orazhycv, Visiting Student, King Abdullah University of Science and Technology
	Yibin Wang, Ph.D. Student, Electrical and Computer Engineering	FPGA, Free Space Optics, machine learning