جستجوی استاد راهنمای دانشگاهی

Vincent Weaver is an Associate Professor in the Electrical and Computer Engineering Department at the University of Maine's College of Engineering. He leads the VMW Research Group, focusing on low-level systems research including hardware performance counters, computer architecture, and operating systems. Weaver received his BS in Electrical Engineering from the University of Maryland College Park in December 2000, followed by MS (January 2009) and PhD (May 2010) degrees in Electrical and Computer Engineering from Cornell University. He joined the University of Maine faculty in July 2012 as an Assistant Professor and earned tenure and promotion to Associate Professor in September 2018. His research centers on hardware performance analysis, architectural simulation, and systems programming with emphasis on Linux kernel development and embedded systems. Weaver's work bridges theoretical computer architecture with practical systems implementation, often resulting in open-source tools that advance the field. His publications reveal a consistent focus on performance analysis techniques, code optimization, and security through low-level system understanding. Weaver maintains an active teaching schedule including courses in embedded systems, operating systems, and network engineering. He values students with strong programming skills and encourages open source contributions as part of the learning process. His research group provides hands-on experience with cutting-edge processor architectures and performance analysis tools.

• Hardware Performance Counters
• Computer Architecture
• High Performance Computing
• +۸ مورد دیگر

John Wickerson is a Senior Lecturer in the Department of Electrical and Electronic Engineering at Imperial College London. His research spans formal methods, concurrency, and hardware/software synthesis. Academic Rank: Senior Lecturer Affiliation: Imperial College London His research interests include concurrency semantics, weak memory models, transactional memory, GPU and FPGA programming, and high-level synthesis for hardware accelerators. These areas intersect formal verification, programming language design, and hardware-software interface optimization. The publications of John Wickerson reflect trends in formalizing memory models, improving hardware synthesis reliability, and testing concurrency frameworks. His work addresses challenges in quantum compiler validation, GPU workgroup progress, and weak memory persistency across Intel, ARM, and C++ architectures. He actively contributes to academic communities as a Publicity Co-Chair and Session Chair in conferences like POPL and as a Committee Member in SPLASH and PLDI. His GitHub repository activity and X (Twitter) presence further demonstrate his engagement in technical dissemination.

• concurrency semantics
• FPGAs
• GPUs
• +۵ مورد دیگر

Dr. Shayan Shams is an Assistant Professor in the Department of Health Data Science and Artificial Intelligence at UTHealth Houston's McWilliams School of Biomedical Informatics, where he has been faculty since 2019. He holds a PhD in Computer Science from Louisiana State University and an MEng in Robotics from University of Malaya. His research group is affiliated with the Center for Secure Artificial Intelligence for Healthcare (SAFE). Dr. Shams' research integrates artificial intelligence, high-performance computing, and big data analytics to address healthcare challenges. Key focus areas include: Unsupervised/semi-supervised deep learning for medical computer vision High-performance computing infrastructure for genomic data Hardware acceleration (GPU/FPGA) for medical AI Knowledge transfer across clinical domains (radiology, pathology, neurology) Edge device implementation for personalized medicine His recent publications (2016-2019) demonstrate evolving work in deep learning frameworks for healthcare applications, spanning medical imaging diagnostics, genomics pipelines, disaster response analytics, and distributed computing infrastructure. Research consistently leverages convolutional networks and generative models for biomedical problem-solving. Dr. Shams actively seeks graduate students and postdoctoral researchers for projects at the intersection of AI and healthcare. He has served as reviewer for premier conferences including MICCAI, IEEE ICDCS, and ACM-BCB.

• Artificial Intelligence
• Deep Learning
• Machine Learning
• +۶ مورد دیگر