Introduction

Welcome Butterfly Robot Hi

Hello! I am Do Dang Khoi, a passionate engineering student at the Faculty of Electronics and Telecommunications (FETEL), Ho Chi Minh City University of Science (HCMUS).

My core expertise lies at the intersection of Cloud Computing, Applied Artificial Intelligence, and Embedded Systems. I enjoy architecting scalable serverless solutions on AWS, training machine learning models, and bringing hardware designs to life on SoC FPGAs. Welcome to my cloud-hosted portfolio!

Education

Ho Chi Minh City University of Science (HCMUS)
Faculty of Electronics and Telecommunications (FETEL)
  • Major: Embedded Systems, Applied AI, and Cloud Computing.

Work Experience

Artificial Intelligence & Computer Vision Intern
Viettel Telecom (02/2026 - 04/2026)
  • Researched and implemented advanced Deep Learning architectures and Machine Learning algorithms for computer vision tasks.
  • Optimized object detection, image classification, and tracking models to improve inference speed and accuracy.
  • Collaborated with team members to simulate and deploy AI pipelines on cloud infrastructure.

Technical Skills

AI & Machine Learning
  • Models: Linear/Logistic Regression, CNN, RNN (LSTM, GRU).
  • Frameworks: Python, AI Model Simulation.
Embedded Systems
  • Platform: Intel SoC FPGA Board.
  • Techniques: RTL Design (Verilog/VHDL), Linux Kernel Modules.
Cloud Computing
  • AWS: S3, API Gateway, Lambda, DynamoDB.
  • Tools: Terraform, GitHub Actions.

Personal Projects

AWS FinOps Dashboard (CLI)
  • A terminal-based AWS cost and resource dashboard built with Python and the Rich library.
  • 5000+ downloads on PyPI.
  • 600+ stars on GitHub, and 180+ forks.
AWS FinOps MCP Server
  • An MCP server that brings powerful AWS FinOps capabilities directly into your AI assistant.
The Cloud Squad
  • A web application that helps users assess their AWS certification exam readiness.
  • 700+ tests taken.

National and International Research Projects

Coordination of Funded Projects
  • General PI of “A taxonomy Biomolecular, Biosources and Bioactivities to unleash the potential of Biodiversity through a Web-based platform (B4Web)‘’. Grant received: 800k euros.
  • local PI of “Forgetfulness, between rights, duties and technological possibilities” project, PRIN. Grant received: 51.8k euros.
  • Co-PI of “Network analysis for anomaly detection” project. Grant received: 80k euros.
  • PI of “Analysis and Monitoring of Artificial Intelligence Systems” project. Grant received: 30.5k euros.
  • PI of “Innovation in Advanced Analytics: analyisis of banking transactions networks” project. Grant received: 150k euros.
  • PI of the Computer Science Department research unit of “Big Data and Internet of Things, financial and insurance fields”. Grant received: 35k euros.
Participation to Research Projects
  • “AI Aware” project, co-financed by University of Turin.
  • “Be Positive: Understanding and tackling online hate speech in Italy” project, financed by Google.org.
  • “M.EMO.RAI”, financed by RAI - Radiotelevisione Italiana. Grant received: 40k euros.
  • “Hate Speech & Social Media”, financed by Fondazione CRT. Grant received: 30k euros.
  • “IhatePrejudice: Immigrants, Hate and Prejudice in Social Media”, financed by Compagnia di San Paolo. Grant received: 77k euro.
  • “Gestione sicura ed affidabile del livello applicativo per la distribuzione peer-topeer di contenuti”, Co-financed by MIUR.

Patents

  • Learning and reasoning from web projections with Eric Horvitz and Susan Dumais.
  • Resource browser sessions search with Ralph Sommerer, Robert Tucker, and Natasa Milic-Frayling. No. 7225407.
  • Navigating a resource browser session Patents with Ralph Sommerer, Robert Tucker, and Natasa Milic-Frayling.
  • “System and Method for Prediction of Self-Similar Signal,” United States Provisional Patent Application (File No: 61/592,352).

Research Experience

  • Yahoo Research, Santa Clara, CA: Worked with Ravi Kumar, Andrew Tomkins on evolution and modeling of social networks. And with Michael Mahoney and Kevin Land on community structure in large networks.
  • Microsoft Research, Redmond, WA: Worked with Eric Horvitz and Susan Dumais on web search query modeling, and the dynamics of a instant messenger network of 240 million people.
  • Hewlett Packard Laboratories: Worked with Bernardo Huberman and Lada Adamic on the dynamics of person-to-person product recommendations in a large social network.
  • Carnegie Mellon Univeristy: Worked with Christos Faloutsos on problems posed by large graphs.
  • Royal Holloway University of London: With John ShaweTaylor on text classification on uneven training datasets.
  • Jozef Stefan Institute, Slovenia: With Marko Grobelnik and Dunja Mladenic. Projects on machine learning, mining documents and graphs, document summarization, text to speech synthesis.

Scientific Community Activities

Talks and Tutorials
  • Invited talk at Joint Statistical Meeting on Analysis of Online Communities
  • Accepted full day tutorial to WWW (International conference on World Wide Web)
  • Invited talk at High Performance Computing on Large Graphs, SIAM Conference
  • Tutorial on Mining and Modeling Large Networks at ECML/PKDD
  • Tutorial on Diffusion and Cascading Behavior in Social Networks, NATO
Program Committee Member & Reviewer
  • Committees: ICML, KDD, WWW, WSDM, ICWSM, PKDD/ECML, NESCAI.
  • Reviewer for: JACM, JEA, ACM TKDD, MLJ, IEEE TKDE, Data Mining and Knowledge Discovery, NIPS.
  • External Reviewer: CIKM, AAAI, SIGIR, ECIR, ICDE, ECAI, IJCAI, SIAM DM.

Program Committees and Editorial Activities

  • Associate Editor of “EPJ Data Science” journal.
  • Lightining Co-Chair “COMPLEX NETWORKS - The 11th International Conference on Complex Networks and their Applications”.
  • Editor: “Special Issue on Network analysis and computational social science", Future Internet, MDPI.
  • General Co-Chair of ACM Conference on Hypertext and Hypermedia.

Services & Academic Roles

  • Associate Editor: Enterprise Information System, International Journal of Industrial Engineering.
  • Conference Co-chair of Korea-Canada Conference (Vancouver, Niagara Falls, Kanaskis).
  • Associate Chair of Undergraduate & Graduate Studies, Department of Mechanical and Industrial Engineering, University of Toronto.

Scientific Advisor & Industrial Collaboration

Public and Private Institutions
  • Member of the Advisory Board of CINI’s “National Big Data laboratory”.
  • Scientific Advisor of the “Innovation in advanced analytics", on behalf of Intesa Sanpaolo Innovation Center.
  • Vice Head of “SIPLab - Social Information Processing” laboratory, on behalf of CSP Scarl.
Industrial Consulting
  • Facebook, LinkedIn, Amazon, Sprint, AOL.
  • Birmingham Midshires bank, UK.
  • Microsoft Live Labs, Yahoo Research, HP Labs.

Academic Honors, Awards & Funding

Awards
  • Best student paper award at 13th ACM SIGKDD International Conference.
  • Microsoft Graduate Research Fellowship.
  • Winner of the KDD Cup on estimating the download rate of scientific articles on Arxiv.
  • Govorec, a Slovenia text to speech system, awarded as best innovation for disabled of the year.
  • Canadian Foundation for Innovation Researcher.
Funding Obtained
  • $4,000 donation from Yahoo Research to record and publish CMU Machine Learning Lunch seminar talks.
  • $75,000 Yahoo Research Alliance gift titled "ShatterPlots: A New Tool for Graph Mining".
  • $337,000 for NSF project "Finding Patterns and Anomalies in Large Time-Evolving Graphs".

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