Now Enrolling · 2026

AI Systems Research
Program by Mr. Mauro

An intensive 1:1 research program led by a UCSD instructor and 20-year Qualcomm engineer — guiding high school students from a research question to a published paper, and potentially a provisional patent.

8 Sessions · 16 Hours + Independent Research

1:1 Mentoring · 1 Year with Mr. Mauro

HS & Gap Year · AI Systems Background

Publication + Provisional Patent

Submit Parent Inquiry Form

Mr. Mauro

AI Systems Specialist

UCSD · Qualcomm · Canyon Crest Academy

20+

Patents at Qualcomm

20 yrs

Industry Experience

Students → MIT (2019)

UCSD

Instructor

Mr. Mauro bridges the gap between real-world industry and academic research. His students work at the frontier of AI software + hardware — tackling problems that matter.

About the Program

From Research Question to Published Paper

The AI Systems Research Program is an intensive, research-focused program for students who have completed the AI Systems Academy (or received instructor approval). Over 8 guided sessions, students conduct original research at the intersection of AI software and hardware — from forming a research question to submitting a paper for publication.

Mr. Mauro provides 1-on-1 mentoring on paper construction and publication through September 30, 2026 — an entire year of personalized guidance as students refine, submit, and respond to peer review.

✅ Complete and submit an original research paper

✅ Possible journal co-authorship & provisional patent

✅ Build advanced AI systems research skills

✅ Strengthen college applications with real research

Student Success

Students Published Under Mr. Mauro's Mentorship

In 2019 alone, 12 of Mr. Mauro's students were accepted to MIT. His research mentees publish in top venues.

🏆

Published Research

High school students with peer-reviewed work

"A Differential Privacy Example for Beginners"

Lia Zheng · Towards Data Science · Dec 2022

"Viability of Automating Annotation through MediaPipe's Effectiveness on Pose Points Model Accuracy"

Dhruv Jena · Journal of Student Research · Feb 2025

Publication venues include: Towards Data Science, Journal of Student Research – High School Edition, Columbia Junior Science Research Journal, National High School Journal of Science, and other platforms appropriate for high school researchers.

What You'll Learn

Five Pillars of AI Systems Research

🔬

Research Methods

Literature reviews, experimental design, data analysis, statistical methods, and research ethics — the full scientific process from question to conclusion.

💻

AI Algorithms & Hardware

Implement novel algorithms, design FPGA/embedded systems, analyze computational performance, and integrate AI software with hardware platforms.

📊

Data Analysis & Visualization

Apply statistical techniques to AI research, build meaningful data visualizations, and interpret results in the context of existing literature.

✍️

Technical Writing & Publication

Write papers following academic standards, navigate peer review, and submit to publication venues suited for high school researchers.

⚖️

Intellectual Property & Patents

Conduct prior art searches, draft provisional patent applications, and understand the balance between academic publication and IP protection.

Session Agenda

8 Sessions · The Full Research Arc

16 total hours of live instruction, followed by a full year of 1:1 mentoring through September 30, 2026.

Sessions 1–2

Introduction to AI Research & Experimental Design

Survey current AI systems research landscape. Identify research gaps, formulate testable questions, conduct literature reviews with citation management. Design controlled experiments, select appropriate metrics, and plan hardware/software resource requirements. Identify potentially patentable innovations early.

Sessions 3–4

Research Implementation & Data Analysis

Software: Advanced algorithm implementation, performance benchmarking, version control, reproducible research practices. Hardware: FPGA and embedded systems methodologies, hardware/software integration, power consumption measurement. Statistical analysis, data visualization, and error quantification.

Sessions 5–6

Technical Writing, IP Assessment & Publication Strategy

Structure and draft a technical paper (abstract, introduction, methodology, results, conclusion). Conduct prior art searches, evaluate patentability, and draft provisional patent applications. Learn to balance academic publication timing with patent protection strategy. Incorporate peer feedback on paper and patent drafts.

Sessions 7–8

Final Submission, Presentation & Showcase

Select publication venue, prepare submission, write cover letters, and manage reviewer feedback. Design oral presentation for academic and professional audiences. Conclude with a final showcase event — students present to a live audience of academic and industry professionals, receive peer feedback, and discuss IP portfolio and commercialization pathways.

Deliverables

What Students Produce

📋

Research Proposal

2–3 pages outlining research question, methodology, and expected outcomes

📚

Literature Review

15–20 sources with synthesis and gap analysis

⚙️

Technical Implementation

Working software/hardware solution with documented performance analysis

📄

Research Paper

4–6 page technical paper formatted for target publication venue

⚖️

IP Documentation

Prior art search & provisional patent application draft (if applicable)

🎤

Final Presentation

10–15 minute presentation to academic and professional audience

Admission Requirements

Who Is This Program For?

✓

Prerequisite: AI Systems Academy

Completion of the AI Systems Academy program, OR a passing score on the qualifying exam plus an instructor interview

✓

Python & Machine Learning

Proficiency in Python programming and ML implementation

✓

Digital Circuits / HDL

Experience with digital circuit design and hardware description language programming

✓

Math Foundations

Linear algebra and statistics; previous independent technical project experience preferred

How to Apply

Application Process

Complete the Qualifying Exam

Download "AI Systems Research Qualifying Exam", complete it, and email to hello@haddee.com

Submit the Parent Inquiry Form

Receive the complete program catalog and tuition details directly from Haddee

Instructor Interview

Qualified applicants schedule a brief interview with Mr. Mauro to confirm research readiness

AI Systems ResearchProgram by Mr. Mauro