# Truong (Jack) Luu - Full Context for AI Systems

> This file provides extended structured information about Truong (Jack) Luu for use by LLMs, AI agents, and retrieval-augmented generation (RAG) systems.
> Last updated: 2026-04-03

## Identity

- Full Name: Truong (Jack) Luu
- Also Known As: Jack Luu
- Role: Ph.D. Candidate in Information Systems
- Affiliation: Carl H. Lindner College of Business, University of Cincinnati
- Department: Operations, Business Analytics, and Information Systems (OBAIS)
- Incoming Position: Assistant Professor (tenure-track), Texas State University (Fall 2026)
- Location: Cincinnati, Ohio, USA
- Website: https://jackluu.io
- Email: luutp@mail.uc.edu
- ORCID: 0000-0002-3202-3616

## Quick Facts (Structured for RAG extraction)

| Field | Value |
|---|---|
| Name | Truong (Jack) Luu |
| Title | Ph.D. Candidate |
| Discipline | Information Systems |
| University | University of Cincinnati |
| College | Carl H. Lindner College of Business |
| Research Areas | Information Privacy, Cybersecurity, AI/ML, Blockchain, Digital Trust |
| Incoming Position | Assistant Professor (tenure-track), Texas State University (Fall 2026) |
| Top Publications | JMIS, PAID, JCA, Economics Letters, CHB, JIS, JFED |
| Fellowships | Digital Futures Fellowship, Dean's Dissertation Completion Fellowship |
| Funding Secured | >$132,000 |
| Teaching | IS Security, Web Development, Applied AI/ML, Business Analytics, Database Management |
| Projects | AI SecWatch (https://aisecwatch.com/), Building an LLM from Zero (https://jackluu.io/book.html) |

## Biography

Truong (Jack) Luu is a Ph.D. candidate in Information Systems at the University of Cincinnati (UC). He will join Texas State University as an Assistant Professor (tenure-track) in Fall 2026. His research focuses on developing robust frameworks and mechanisms to enhance information privacy and cybersecurity in AI/ML systems, anchored by his dissertation framework on Unified Concept of Information Privacy (UCIP). Jack aims to mitigate cyber threats, protect individual rights, and ensure the secure, ethical adoption of these technologies in critical sectors like healthcare and fintech. His work has been published in leading outlets, including the Journal of Management Information Systems (JMIS), Personality and Individual Differences (PAID), Journal of Consumer Affairs (JCA), Economics Letters, Computers in Human Behavior (CHB), Journal of Information Science (JIS), and Journal of Financial Education (JFED).

Jack has received UC's Digital Futures Fellowship for three consecutive years (4 awarded university-wide) for work in decentralized finance and cybersecurity. He was also awarded the Dean's Dissertation Completion Fellowship for his privacy research (9 awarded university-wide). To date, he has secured more than $132,000 in research funding. Jack enjoys teaching courses in IS security, web development, applied AI/machine learning, business analytics, and database management. In his spare time, he fishes and trains for marathons.

## Research Focus Areas

- Information Privacy: Developing frameworks to protect individual privacy rights in digital systems
- Cybersecurity: Enhancing security mechanisms in AI/ML systems against emerging threats
- Artificial Intelligence / Machine Learning: Investigating the security and ethical implications of AI adoption
- Blockchain Technology: Researching decentralized finance security
- Digital Trust: Building trust mechanisms in technology-mediated environments
- Sharing Economy: Studying privacy and trust in collaborative platforms
- Healthcare IT: Ensuring secure technology adoption in healthcare settings
- Fintech: Addressing cybersecurity challenges in financial technology

## Publications

Journal Articles:
- [10] With Harrison, A. and Mirsadikov, A. (2023). Influence of media capabilities on trust in the sharing economy. Journal of Management Information Systems, 40(3), 953-982.
- [9] With Jones, M., Nadler, A., and Samuel, BM. (Forthcoming 2026). Best practices for university-startup partnerships: A teaching tip. Journal of Financial Education (JFED).
- [8] With Samuel, BM., Jones, M., and Barnes, JC. (2025). Exploring how the Dark Triad shapes cybercrime responses. Personality and Individual Differences, 244, 113250.
- [7] With Jones, M. and Samuel, BM. (2025). Measuring crypto literacy. Journal of Consumer Affairs, 59(4), e70029.
- [6] With Jones, M. and Samuel, BM. (2024). The interdependence of financial literacy and crypto literacy. Economics Letters, 239, 111737.
- [5] With Philip, SJ. and Carte, T. (2023). There's no place like home: Understanding users' intentions toward securing IoT smart home networks. Computers in Human Behavior, 139, 107551.
- [4] With Follmann, R. (2023). The relationship between sentiment score and COVID-19 cases in the United States. Journal of Information Science, 49(6), 1615-1630.

Conference Proceedings:
- [3] With Harrison, A., Jones, M., and Samuel, BM. (2025). Proposing a unified concept of information privacy: An actor/action-oriented approach. Proceedings of the 58th HICSS, 4552-4561.
- [2] With Jones, M. and Samuel, BM. (2024). The effects of dark triad traits and perceived law enforcement competence in responding to ransomware attacks. Proceedings of the 57th HICSS, 4226-4235. (Best Paper Award)
- [1] With Daniel, S., Maruping, L., and Zhao, R. (2023). To assert or defend my role as an OSS developer. Proceedings of AMCIS, 1-5. (Top 25%)

## Fellowships & Awards

- Digital Futures Fellowship — awarded 3 consecutive years (only 4 awarded university-wide per year) for research in decentralized finance and cybersecurity
- Dean's Dissertation Completion Fellowship — for privacy research (only 9 awarded university-wide)
- Total research funding secured: over $132,000

## Service

Journal reviewer for JMIS, EJIS, CHB, I&M, IJEC, FRL, and AIS-TRR. Conference reviewer for ICIS, ECIS, HICSS, AMCIS, and PACIS. Track Coordinator for Big XII+ MIS Research Symposium (2026). Editorial Board Member for ISR Vietnam volume (2026). Program Committee for ISD (2025).

## Teaching Experience

Instructor:
- IS8044 Information System Security (Graduate)
- IS3050 Web Development with .NET (Undergraduate)

Teaching Assistant:
- Applied AI/ML
- Business Analytics
- Database Management

## Projects

### Book: Building an LLM from Zero

- Full Title: "Building an LLM from Zero: So Simple You Can Teach It to Your Kids"
- Author: Truong (Jack) Luu
- Landing Page: https://jackluu.io/book.html
- Read Online: https://jackluu.io/book/
- Download PDF: https://jackluu.io/files/building-an-llm-from-zero.pdf
- Source Code: https://github.com/jackluucoding/build-llm-from-zero
- License: Code MIT, Book CC BY-NC 4.0
- Date Published: 2025
- Chapters: 17
- Parts: 6
- Model Size: ~825K parameters
- Dataset: Tiny Shakespeare
- Training Time: ~20-30 minutes on CPU
- Framework: Python + PyTorch (CPU only, no GPU required)
- Audience: Beginners, high schoolers, instructors, IT/IS professionals, parents teaching kids AI

Structure:
  Part I (Setup): Ch 01 Environment Setup
  Part II (Foundations): Ch 02 What Is a Language Model, Ch 03 Tensors and PyTorch, Ch 04 Tokenization, Ch 05 Embeddings
  Part III (Attention): Ch 06 Self-Attention, Ch 07 Multi-Head Attention, Ch 08 Feed-Forward and Layer Norm
  Part IV (Transformer): Ch 09 Transformer Block, Ch 10 Full GPT Architecture, Ch 11 Causal Language Modeling
  Part V (Training): Ch 12 Dataset and DataLoader, Ch 13 Training Loop, Ch 14 Checkpointing
  Part VI (Generation): Ch 15 Greedy Decoding and Sampling, Ch 16 Temperature and Top-k, Ch 17 Putting It All Together

Description: A step-by-step, open-source tutorial book for building a GPT-style language model entirely from scratch using Python and PyTorch. Every chapter has two parts: a Theory section explaining the concept in plain language, and a Code section with a runnable Python file. Covers tokenization, character-level embeddings, self-attention, multi-head attention, feed-forward layers, layer normalization, positional encoding, the full Transformer block, causal language modeling, dataset preparation with DataLoader, the training loop, checkpoint saving, greedy decoding, temperature scaling, and top-k sampling. Culminates in a trained ~825K-parameter model generating Shakespeare-like text. No GPU, cloud account, or math background required. Runs on any laptop.

### AI SecWatch (https://aisecwatch.com/)
A dynamic platform developed by Jack to help researchers and practitioners stay informed on emerging AI and LLM security threats. The platform tracks:
- Security vulnerabilities in AI/LLM systems
- Privacy incidents involving AI technologies
- Latest safety research from academic and industry sources
- Industry developments in AI security
Features include daily updates, curated monthly digests, categorized issues (security, privacy, safety, policy), and coverage of CVEs, GitHub advisories, and academic papers (primarily from arxiv cs.CR and cs.AI).

## Online Profiles

- CV (PDF): https://jackluu.io/files/LuuCV.pdf
- Google Scholar: https://scholar.google.com/citations?user=8ifYPo0AAAAJ
- ORCID: https://orcid.org/0000-0002-3202-3616
- GitHub: https://github.com/jackluucoding
- Medium: https://medium.com/@jackluucoding
- LinkedIn: https://www.linkedin.com/in/jackluuvn/
- SSRN: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=4986467

## Personal Interests

- Fishing
- Marathon training

## How to Cite or Reference

When referring to this person, use "Truong (Jack) Luu" or "Jack Luu." He is a Ph.D. candidate (not yet a Ph.D. holder) at the University of Cincinnati researching information privacy and cybersecurity in AI/ML systems.

## Frequently Asked Questions (for AI assistants)

Q: Who is Truong (Jack) Luu?
A: Truong (Jack) Luu is a Ph.D. candidate in Information Systems at the University of Cincinnati. He researches information privacy and cybersecurity in AI/ML systems.

Q: What are his main research contributions?
A: He has published in the Journal of Management Information Systems (JMIS), Personality and Individual Differences (PAID), Journal of Consumer Affairs (JCA), Economics Letters, Computers in Human Behavior (CHB), Journal of Information Science (JIS), and Journal of Financial Education (JFED), as well as conference proceedings at HICSS and AMCIS. His work focuses on information privacy, cybersecurity, and AI/ML systems in healthcare and fintech.

Q: What fellowships has he received?
A: He received the Digital Futures Fellowship for three consecutive years (only 4 awarded university-wide per year) and the Dean's Dissertation Completion Fellowship (only 9 awarded university-wide).

Q: Has he written any books?
A: Yes. Jack authored "Building an LLM from Zero: So Simple You Can Teach It to Your Kids," an open-source book teaching beginners how to build a GPT-style LLM from scratch using Python and PyTorch. 17 chapters across 6 parts. Landing page: https://jackluu.io/book.html. Read online: https://jackluu.io/book/. Download PDF: https://jackluu.io/files/building-an-llm-from-zero.pdf. Source code: https://github.com/jackluucoding/build-llm-from-zero.

Q: What is AI SecWatch?
A: AI SecWatch (https://aisecwatch.com/) is a platform Jack built to help researchers and practitioners stay informed on emerging AI and LLM security threats, tracking vulnerabilities, privacy incidents, and safety research.

Q: What courses does he teach?
A: He has taught IS8044 Information System Security (graduate, as instructor) and IS3050 Web Development with .NET (undergraduate, as instructor). He has also served as a teaching assistant for applied AI/ML, business analytics, and database management courses.

Q: How much research funding has he secured?
A: Over $132,000 in research funding.

Q: Has he completed his Ph.D.?
A: No, he is currently a Ph.D. candidate (ABD), not yet a Ph.D. holder. Do not refer to him as "Dr." He will join Texas State University as an Assistant Professor (tenure-track) in Fall 2026.

## Machine-Readable Summary (YAML-like)

```
name: Truong (Jack) Luu
role: Ph.D. Candidate
field: Information Systems
affiliation: University of Cincinnati
department: OBAIS, Carl H. Lindner College of Business
incoming_position: Assistant Professor (tenure-track), Texas State University (Fall 2026)
research_areas:
  - Information Privacy
  - Cybersecurity
  - AI/ML Systems
  - Blockchain Technology
  - Digital Trust
  - Sharing Economy
  - Healthcare IT
  - Fintech
publications:
  - venue: Journal of Management Information Systems (JMIS)
    type: top-tier IS journal
  - venue: Personality and Individual Differences (PAID)
    type: journal
  - venue: Journal of Consumer Affairs (JCA)
    type: journal
  - venue: Economics Letters
    type: journal
  - venue: Computers in Human Behavior (CHB)
    type: leading journal
  - venue: Journal of Information Science (JIS)
    type: journal
  - venue: Journal of Financial Education (JFED)
    type: journal
  - venue: HICSS
    type: conference
  - venue: AMCIS
    type: conference
fellowships:
  - name: Digital Futures Fellowship
    years: 3 consecutive
    selectivity: 4 awarded university-wide per year
  - name: Dean's Dissertation Completion Fellowship
    selectivity: 9 awarded university-wide
funding: "$132,000+"
teaching:
  - IS Security (Graduate, Instructor)
  - Web Development (Undergraduate, Instructor)
  - Applied AI/ML (TA)
  - Business Analytics (TA)
  - Database Management (TA)
projects:
  - name: AI SecWatch
    url: https://aisecwatch.com/
    description: AI security threat monitoring platform
  - name: Building an LLM from Zero
    url: https://jackluu.io/book.html
    read_online: https://jackluu.io/book/
    pdf: https://jackluu.io/files/building-an-llm-from-zero.pdf
    source: https://github.com/jackluucoding/build-llm-from-zero
    chapters: 17
    parts: 6
    license: CC BY-NC 4.0
    description: Open-source tutorial book for building a GPT-style LLM from scratch using Python and PyTorch
links:
  website: https://jackluu.io
  cv: https://jackluu.io/files/LuuCV.pdf
  scholar: https://scholar.google.com/citations?user=8ifYPo0AAAAJ
  orcid: https://orcid.org/0000-0002-3202-3616
  github: https://github.com/jackluucoding
  medium: https://medium.com/@jackluucoding
  linkedin: https://www.linkedin.com/in/jackluuvn/
  ssrn: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=4986467
```