Haoze Ni / Selected work 2025—26

Thinker. Maker. Shaper.

I study people, turn signals into ideas, and shape clearer experiences across marketing, design, and technology.

Monochrome editorial portrait of Haoze Ni smiling Colorful abstract collage portrait of Haoze Ni smiling
Marketer / Designer Tap or swipe

Blended portrait view.

A little about me

00/ About

A little about me—
before the case studies.

I’m Alex Nee. My work moves between marketing and design—sometimes I’m reading the numbers, sometimes I’m shaping the experience, and usually I’m doing a bit of both.

01/ Education
FH Technikum Wien Sichuan University Syracuse University Boston University
02/ Work
Customer acquisition, SEO, digital analytics, visual design, and Human–AI interaction.
03/ Play
Football, skiing, violin—and anything that rewards rhythm, attention, and practice.

01/ Projects

Basics aren’t
basic.

Each project begins with a person, a tension, or a question. Open any project note for the context, the thinking, and the small choices that gave the work its character.

More project notes

Project note

02/ Publications

Research for more
trustworthy systems.

  1. 2026

    Cross-Platform Epistemic Verification for Improving Factual Reliability in AI-Generated News Summarization

    Abstract

    A multi-source verification framework that checks generated news summaries against source documents, Wikipedia, and web evidence before making conservative corrections.

  2. 2026

    Research and Design of Blockchain-Based Propagation Algorithm for IP Tags Using Local Random Walk in Big Data Marketing

    Abstract

    A local-random-walk-enhanced label propagation method for discovering communities within cultural and creative IP marketing networks.

  3. 2025

    From Detection to Prediction: A Multimodal Deep Learning Framework for Proactive Fall Risk Monitoring in Smart Aging

    Abstract

    Combines multimodal sensing and temporal learning to move fall monitoring toward personalized, interpretable, and privacy-aware risk prediction.

  4. 2025

    A Lightweight Skeleton-Based Fall Detection Framework Using Multi-Dimensional Attention Mechanisms

    Abstract

    Uses skeleton sequences and multi-dimensional attention to support accurate fall detection in a lightweight architecture designed for real-time CPU deployment.

  5. 2025

    Artificial Intelligence-Driven Smart Homecare: A Review of Applications, Challenges, and Prospects

    Abstract

    Reviews AI-enabled home eldercare with attention to monitoring, usability, interoperability, privacy, ethics, and human-centered interaction.