Intel® Student Ambassador Program
Overview
This program is focused on undergraduate and graduate students who are passionate about technology and working with developer communities to promote learning, sharing, and collaboration. It provides opportunities for students to enhance their skills with AI and oneAPI, expand their network, and learn about the cutting-edge Intel® hardware and software products.
Benefits
- Recognition from Intel as an expert in AI or oneAPI
- Support from Intel to organize local events, such as watch parties and workshops (virtual or face to face), to build their campus communities
- Extended access to Intel® Developer Cloud
- Early access to the latest technology developments that are under a nondisclosure agreement (NDA)
- Invitations to exclusive Intel events and training
- Reimbursement from Intel for participating in accepted conferences and events
- Opportunity to be considered for an internship at Intel
The Role of a Student Ambassador
- Organize and deliver AI, high-performance computing (HPC), or visualization-focused training and workshops for students.
- Evangelize software development tools and resources from Intel.
- Develop and share projects using Intel® technologies that inspire fellow students.
- Post blogs and articles to share new lessons learned and best practices with peers.
- Commit to act as an Intel® Student Ambassador for one academic year.
How to Apply
Requirements
- Enrolled in an undergraduate or graduate degree in any regionally accredited university
- Have a minimum of one year left until graduation
- Advocate for Intel technologies on campus
- Share your work at events and conferences and host meetups on campus
- Create a project that describes the work or the research you support on GitHub*
Application Process
- Create an AI or oneAPI project on GitHub*.
- Submit an application.
- Intel evaluates your application, and then responds to qualified candidates with instructions for the next steps.
Program Highlights
Intel Student Ambassador Research Article
Read Optimization and Evaluation of Breadth First Search with oneAPI/SYCL* on Intel FPGAs: from Describing Algorithms to Describing Architectures by student ambassador Kaan Olgu (University of Bristol).
Intel Student Ambassador Research Article
Read Exploring the Performance and Portability of the K-means Algorithm on SYCL across CPU and GPU Architectures by student ambassador Youssef Faqir-Rhazoui (Complutense University of Madrid).
Academic Hands-on Workshop, Chicago
See how Intel partnered with professors and leaders in the oneAPI community to host a first of its kind event for students.
Featured Student Ambassadors
Sarah Huang, University of Tennessee, Knoxville
Sarah's Researchable Archives for Interactive Visualizations (RAIV) is a browser extension and server combination for capturing interactivity in web-based visualizations. The browser extension allows you to specify which interactions in the visualization to capture. It takes a screenshot of the visualization after each captured interaction and sends the screenshots to the server to be prepared for playback. The server encodes the screenshots taken by the browser extension into an MP4 video file that simulates the original visualization's interactivity without any of the original source code or data.
Migara Amarasinghe, Florida A&M University and Florida State University (FAMU-FSU) College of Engineering
Migara investigates parallel architectures for AI algorithms. To conduct hardware performance analyses, he uses a diverse range of heterogeneous computer systems that consist of high-end GPUs and CPUs with single-core and multicore processing capabilities. To optimize the scalability of AI algorithms, Migara uses CUDA* and high-level programming models such as SYCL. He uses the Intel® DPC++ Compatibility Tool to migrate code from CUDA to SYCL for the Intel® oneAPI DPC++ Compiler and the Intel® HPC Toolkit to maximize the performance of Intel processors.
Vedansh Jaiswal, Shri Ramdeobaba College of Engineering and Management
Vedansh works on a machine learning project that uses facial expression recognition to determine a user's mood and then suggests various song playlists based on that mood. His project works by obtaining a live video feed from a webcam and running it through the model to forecast emotion. He uses Intel® oneAPI Data Analytics Library (oneDAL) for a better user experience and to make it possible for blind people to use facial expressions to search for songs that suit their mood.
Success Stories
Intel Student Ambassador Kieran Llarena designed a dedicated inference API for Intel® Tiber™ Developer Cloud to train AI models developed on the platform.
See how Intel Student Ambassador Ahamed Thaiyub tackles employee attrition using Intel® tools.
See Intel Student Ambassador Zhibo Li's work on the Collection Skeletons library using Intel toolkits. This library provides a solution for portable parallel performance.
Intel Student Ambassador Joel John Joseph details how he used oneAPI in his project that focused on predicting wildfire behavior.
Intel Student Ambassador Dev Aryan Khanna details how he used the AI reference kits from Intel for his healthcare AI companion project.
The winner of the 2023 Intel® Student Ambassador Hackathon, Yuri Achermann, highlights his project using AI Tools and his experience as an Intel Student Ambassador.
Student ambassador Migara Amarasinghe details how he used the open source SYCLomatic tool to transition CUDA* codes to SYCL, thereby enabling the effective use of accelerators from multiple vendors, such as Intel, NVIDIA*, and AMD*.
See how student ambassador Poornima Nookala achieved extreme fine-grained parallelism on modern many-core architectures using oneAPI. She also explains her contribution to the development of Template Task Graph (TTG), which is a new flow graph programming model for high-performance algorithms running on distributed heterogeneous computer platforms.
Read how this student ambassador uses oneAPI for his project to produce a semicoherent natural language processing system. He also uses SYCL for dataset management to offload the work to a GPU.
Publications
Explore various publications from students, instructors, educators, and researchers who are part of the Intel® Academic Program.
Become an Intel Student Ambassador
Get ready to inspire and influence your peers from across the globe. Demonstrate your technology leadership in AI, HPC, visualization, and rendering.
For more information, contact us.
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