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Students During Break

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. 

June 22nd 2024

Live Online via Zoom

9:00 AM – 12:30 PM PDT

Agenda

9:00 AM - 9:15AM

9:15 AM - 10:45 AM

10:45 AM - 12:45PM

5 MINUTE BREAK

12:50 PM - 1:30 PM

Welcome
Dr. Nisha Talagala (CEO of AIClub)

Keynote Speakers

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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.

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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

Cord Blood Cotinine Estimation using Machine Learning and Genomics.jpg

1. Cord Blood Cotinine Estimation using Machine Learning and Genomics

Vishruth Narasimhan

Low-cost Adaptable Computer Vision Laundry Assistance for the Visually Impaired (LALAVI).j

2. Low-cost Adaptable Computer Vision Laundry Assistance for the Visually Impaired (LALAVI)  

Anya Trutschl 

A Novel Multimodal Deep Learning Approach to Shelf Life Estimation of Agricultural Produce

3. A Novel Multimodal Deep Learning Approach to Shelf Life Estimation of Agricultural Produce

Krishnav Agarwal

FireSense Integrating Deep Learning with ESP32 Microcontrollers for Enhanced Forest Fire S

4. FireSense: Integrating Deep Learning with ESP32 Microcontrollers for Enhanced Forest Fire Surveillance

Rohan Arunkumar

Brain tumor classification.jpg

5. Brain Tumor Classification

Maahum Jahangir

Early Recurrence Detection of Invasive Ductal Carcinoma Utilizing High-Dimensional Genomic

6. Early Recurrence Detection of Invasive Ductal Carcinoma Utilizing High-Dimensional Genomic Data 
Rohan Kaushikan

Leveraging Machine Learning to Identify Effective Teaching Strategies for Children with Au

7. Leveraging Machine Learning to Identify Effective Teaching Strategies for Children with Autism Spectrum Disorder 
Savar Toteja

Wound image classification using DE-GAN.png

8. Wound Image Classification Using DE-GAN 
Harini Narayan

Assessing Large Language Models for Math Tutoring Effectiveness.jpg

9. Assessing Large Language Models for Math Tutoring Effectiveness
Pranav Goel

A Neural Network Approach Using Deep Learning for Image Classification of Polar Ring Galax

10. A Neural Network Approach Using Deep Learning for Image Classification of Polar Ring Galaxies

Aditi Muduganti

Dr Nisha Talagala.png

Dr.Nisha Talagala  (CEO of AIClub)

Research, APs and Beyond - Thriving in an AI-powered future

Main Session Concludes

Check out our previous Symposia!

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2022 Student Research Symposium.png
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