AI Research Symposium
The AI Research Symposium is an academic conference where Inspirit AI 1:1 students showcase their research projects to peers, experts, and the wider community. The AI Research Symposium takes place during each season for students to present and compete for prizes.
The event also features opening remarks and keynote presentations from leaders in the field. The highlight of the event – 1:1 student presentations – includes an array of innovative work across domains.
Our Recent Symposium
View our most recent Fall 2024 AI Research Symposium, featuring AI research projects from 20 top students in the Inspirit AI 1:1 AI + X Mentorship Program.
Recent Symposium Award-Winners
Bringing A.I. to New Spaces
Rare Coin Grading using Convolutional Neural Networks
By Orhan Hosten-Mittermaier, College Preparatory School, Oakland, California
Mentored by Olivia Lee, Department of Computer Science, Stanford University
A.I. for Medical Care and Patients
OpthoAI:A conversational multi-disease AI Ophthalmology smartphone screener with a novel approach to monitor disease progression
By Alex Chirayath, Harmony School of Innovation, Katy, Texas
Mentored by Tyler Poore, ML Engineer, Columbia University
Tackling Social Issues with A.I.
Landfill Net: A Convolutional Neural Network (CNN) Architecture for the Detection of Landfills from Satellite Imagery in the Continental United States
By Anika Seshan, Bridgewater-Raritan High School, Bridgewater, New Jersey
Mentored by Ying Hang Seah, Roblox, Stanford University
Tackling Social Issues with A.I.
Identifying Anxiety and Burnout from Student’s Facial Expressions and Demographics
By Tanishka Shahoo, Randolph High School, Randolph, New Jersey
Mentored by Sophia Barton, Software Engineer at Bold, Computer Science at Stanford University
Paper submitted to Journal of Emerging Investigators
A.I. for Advancing Science
Developing a novel 3D GNN and Random Forest Regression model for screening and predicting potential oxide electrocatalysts with greater accuracy and computational efficiency
By Stanley Chen, The Harker School, San Jose, California
Mentored by Ayush Pandit, Bioengineering & Computer Science at Stanford University
Audience Choice
A framework for music-based therapy that utilizes a Music-Mood model and Bert NLP
By Aaditya Bharadwaj, Enloe High School, Raleigh, North Carolina
Audience Choice
Predicting Evapotranspiration in the Semi-Arid Region of Indore Using AI Models
By Adnan Barwaniwala, The Daly College, Indore, India
Recent Keynote Speakers
“Opening Remarks: The Golden Age of AI ”
Dr. Kuan-Chuen Wu
Stanford University, Iowa State University
With a Harvard-Stanford education in multi-disciplinary engineering, MBA in Supply Chain Management and Information Systems, PhD in Mechanical Engineering with Data Science focus, plus a decade with 6500+ talented colleagues & students, Dr. Kuan-Chuen Wu enjoys leading AI, Data Science, and Engineering Research teams to apply technology toward business value, stakeholder satisfaction, and societal good.
“How Reinforcement Learning based Training helps Robots Grasp Objects”
Zeeshan Islam
University of Pennsylvania
Zeeshan Islam received a Master's in Robotics and AI from University of Pennsylvania and is currently working on research with a UPenn professor. Before coming to the U.S., Zeeshan studied Mechanical Engineering in undergrad and worked for 4.5 years in a Robotics Lab. His work is mostly on Human Robot Interaction (HRI).