AISRS - Student Research Symposium
AI Research and Innovations by Middle and High Schoolers
The world is experiencing an explosion of AI innovation, rivaling or exceeding any technological development seen in our lifetimes. The next generation will learn to work and thrive in a world filled with AI. Now in its 4th year, AISRS - the Student Research Symposium - showcases innovative AI research projects done by students grades 6-12. These projects touch a variety of areas and fields; space, healthcare, social good, climate change, the fine arts and much more. For students, parents, teachers and all interested, AISRS shows how students can combine their ingenuity and state of the art technology to create the future.
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June 22nd 2024
Live Online via Zoom
9:00 AM – 12:30 PM PDT
Agenda
9:00 AM - 9:15AM
9:15 AM - 10:00 AM
10:00 AM - 10:45 AM
10:45 AM - 10:55 AM
10:55 AM - 11:05 AM
11:05 AM - 11:15 AM
11:15 AM - 11:25 AM
5 MINUTE BREAK
11:30 AM - 11:40 AM
11:40 AM - 11:50 AM
11:50 AM - 12:00 PM
12:00 PM - 12:10 PM
5 MINUTE BREAK
12:15 PM - 12:25 PM
12:25 PM - 12:35 PM
12:35 PM - 12:40 PM
Welcome
Dr. Nisha Talagala (CEO of AIClub)
Keynote Speakers
Robert Ober
Chief Platform Architect, Datacenter Products, NVIDIA
Rob is NVIDIA’s Chief Platform Architect for data center products. He works with global Hyperscales to architect AI clusters and datacenters, systems and platform architecture, and influence NVIDIA silicon, systems and software roadmaps. His background is in processor and system architecture, with experience in storage, networking, and wireless. Rob has over 40 international patents in processor architecture, storage, networks, wireless, and mobile devices.
Surbhi Kaul
Vice President, Customer Experience, Nile
With 20 years of experience leading product design, development and strategy in Fortune 500 companies, Surbhi has built and led product and engineering teams at technology icons including Google, YouTube, Netflix, and Cisco. Over the last decade she has launched multiple successful & insightful products, many of which encompass AI and machine learning expertise. Additionally, Surbhi led query disambiguation and speech recognition efforts on leading edge Google Home and Google Assistant enabled devices using Google Cloud ML models.
Student Presentations
1. FireSense: Integrating Deep Learning with ESP32 Microcontrollers for Enhanced Forest Fire Surveillance
Rohan Arunkumar
2. A Novel Multimodal Deep Learning Approach to Shelf Life Estimation of Agricultural Produce
Krishnav Agarwal
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3. Low-cost Adaptable Computer Vision Laundry Assistance for the Visually Impaired (LALAVI)
Anya Trutschl
4. Cord Blood Cotinine Estimation using Machine Learning and Genomics
Vishruth Narasimhan
5. Leveraging Machine Learning to Identify Effective Teaching Strategies for Children with Autism Spectrum Disorder
Savar Toteja
6. Brain Tumor Classification
Maahum Jahangir
7. Assessing Large Language Models for Math Tutoring Effectiveness
Pranav Goel
8. Early Recurrence Detection of Invasive Ductal Carcinoma Utilizing High-Dimensional Genomic Data
Rohan Kaushikan
9. A Neural Network Approach Using Deep Learning for Image Classification of Polar Ring Galaxies
Aditi Muduganti
10. Wound Image Classification Using DE-GAN
Harini Narayan
Dr.Nisha Talagala (CEO of AIClub)
