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perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed
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community in AI, energy systems, and optimization. Mentor graduate students, co-author high-impact publications, and present at major conferences. Engage with industry partners, utilities, and community
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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distribution network optimization and flexibility planning using distributed energy resources. The successful candidate will develop and implement a flexibility planning tool for electrical distribution grids
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on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability
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: Optical Communication Systems and Networking – AV Work Objectives: 1) development of advanced channel estimation tools for the online prediction of FSO link loss caused by atmospheric effects; 2
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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proximity to major national research infrastructures and a vibrant scientific community. Description of the project This project aims to develop next-generation, multimodal biopsy and chemical-imaging
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)]. Scientific Area: Optical Communications Group: Optical Communications Systems and Networking – Av Work Objectives: Main objectives: 1) to develop optimized interfaces between the PON-based fiber distribution