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 5th 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 28th 2025
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 - 12:25 PM
Welcome
Dr. Nisha Talagala (CEO of AIClub)
Keynote Speakers
Azar Alizadeh
Research Scientist at UpTerra
Keynote: AI in Agriculture: How Machine Learning is Revolutionizing Farming
Dr. Azar Alizadeh is a research scientist at UpTerra and an expert in AI
and machine learning. With a Ph.D. from UC Merced, her research
focuses on developing efficient stochastic models for data-driven
decision-making, particularly in agriculture, optimizing water usage, and
improving sustainability through cutting-edge machine learning
techniques.
Dr. Jan Heng
Assistant Professor of Pathology at BIDMC
Keynote: AI Healthcare
Dr. Jan Heng is an Assistant Professor of Pathology at Beth Israel Deaconess Medical Center (BIDMC), Harvard Medical School, Boston. She is a translational biomedical scientist with expertise in reproductive health, and cancer biology. She began her career in pregnancy biomarker research with a PhD from the University of Melbourne, Australia, and later continued her work as a post-doctoral fellow at the University of Toronto, Canada. She transitioned to breast cancer research at BIDMC and has been applying AI methods to breast cancer research for the past 10 years.
Student Presentations
Autonomous Lookahead for Early Risk Tracking (ALERT): AI-Driven Predictive Simulation for Safe and Proactive Driver Intervention
AI-Powered Fall Detector for Seniors with an Edge Device
Nihar Mehta
Integrating Artificial Intelligence and Machine Learning Techniques To Create a Multi-Disease Predictor
Riya Reddy
Cannabinoid CB1 Receptor Drug Discovery
Shloak Vatsyayan
A Novel Approach to Anomaly-Corrected Economic Metrics: AI-Driven Modeling of Discrepancy-Induced Shifts in Lorenz Curves and Gini Coefficients
Sharon Lu
Wildfire Risk Predictor Web App
Avijay Sen
AI-Driven Novel Method for Weed Detection in Soy Plants Using YOLO Instance Segmentation Model
Asvini Thivakaran
TNF-alpha inhibition for Psoriasis
Samvrith Bandi
Predictive Modeling for Hypertension Drug Discovery Using Transformer-Based Models
Rachna Gadde
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Akshat Agarwal
Cervical Cancer Detection Using Deep Learning on Liquid-Based Cytology Pap Smear Images
Adya and Arya Bharadwaj
EmotionSense: Real-Time Emotion Detection for Children with Autism Using Raspberry Pi and AI
Ashwita Ramanavelan
12:35 PM - 12:40 PM
Dr.Nisha Talagala (CEO of AIClub)
