Trung T. Phan

Faculty Lecturer

Fulbright University Vietnam

Jun 2022 - May 2025 (3 years)

Co-PI of NuocGPT, funded by Gates Foundation. An end-to-end LLM + RAG system for climate decision support 93K USD • Integrating 600+ evaluated queries and multimodal datasets • Achieving around 80% answer accuracy and 70–75% retrieval performance, and • Serving 165+ real users across 3 provinces in Vietnam. PI of VietF&D-Wenet, funded by Wenet, an EU’s Horizon2020 program. 25K EUR • Collecting hand-to-mouth activities from surveys and mobile sensing data to investigate drinking and eating behaviour of 150+ young adults in Vietnam. Supervisor of VNTurtle and MindfulEating funded by TPBank STEM and Temasek Community Change Maker Scholarship. 4K USD • Built a deep learning–based wildlife recognition system (VNTurtle) using 17.7K+ images across

Assistant Professor

Fulbright University Vietnam

Jun 2022 - May 2025 (3 years)

Co-Principal Investigator of NuocGPT, an end-to-end large language modelling (LLM) + Retrieval-Augmented Generation (RAG) system for climate decision support, funded by the Gates Foundation (USA) with 93K USD. Principal Investigator of VietF&D-Wenet, collecting hand-to-mouth activities from surveys and mobile sensing data to investigate drinking and eating behaviour of young adults in Vietnam, funded by Wenet (Europe) with 25K EUR. Supervisor of VNTurtle, building a deep learning–based wildlife recognition system, funded by TPBank STEM (Vietnam) with 2K USD. Supervisor of MindfulEating, developing machine learning models (MindfulEating) to predict stress from behavioral data, funded by Temasek Community Change Maker Scholarship with 2K USD.

Invited Lecturer

University of Information Technology

Jan 2022 - Jan 2025 (3 years 1 month)

* Teaching – Taught Data Mining and Applications (Spring 2022, Spring 2023), Introduction to Computer Science (Spring 2024), and Data Structures and Algorithms (Spring 2024). * Supervision – Guided multiple bachelor’s projects and theses, including the Machine Learning on Dating Project among heterosexual and homosexual adults in Vietnam (2025), Use Machine Learning to Determine Crucial Factors in Long-Term Love (2024), and Tracking In-Situ Human Behavior Using Smartphones (2024).

Senior Specialist

Bosch

Oct 2021 - May 2022 (8 months)

• Led team of 14 engineers across 5+ AI initiatives spanning CV (recognizing the delivery labels), NLP (building the internal chatbot), and sensor systems (recognizing the errors in cars by using sensors)

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Machine Learning Specialist

Bosch AI Vietnam

Sep 2021 - May 2022 (9 months)

Leader of 5+ AI initiatives spanning computer vision (recognizing the delivery labels), natural language processing (building the internal chatbot), and sensor systems (recognizing the errors in cars by using sensors).

Adjunct Lecturer

Fulbright University Vietnam

Sep 2021 - May 2022 (9 months)

Giving 2 courses, i.e., Computational Social Media and Computer Science 1

Postdoctoral Researcher

Idiap Research Institute

Oct 2020 - Jun 2021 (9 months)

HealthVlogging, funded by Swiss National Science Foundation (SNSF), Idiap Research Institute and UNIL, Switzerland. • Analyzed 2,500 YouTube videos using mixed-methods (thematic analysis + multimodal ML), identifying 6 health behavior categories with strong inter-annotator agreement. • Achieving 74–87% classification accuracy using linguistic features to detect health-related content patterns. IMI-Trust Over Time funded by IMI, Idiap Research Institute and ECAL, Switzerland. • Designed and implemented a multimodal AI pipeline for news aggregation, extracting 1,000 object features, 150 scene features, and 512 color features per image, integrating cross-modal (text + image) signals. • Deploying a prototype evaluated via controlled user experi

Invited Lecturer

FPT University

Jan 2020 - Jan 2021 (1 year 1 month)

* Teaching – Taught Machine Learning (Fall 2020, Spring 2021). * Supervision – Supervised bachelor’s thesis by Nguyen Xuan Duy, Nguyen Tan Loc, and Vu An Ninh at FPT University, Ho Chi Minh City, which resulted in a paper published at ACMMM 2025.

Research Asistant

Idiap Research Institute

Sep 2015 - Sep 2020 (5 years 1 month)

Dusk2Dawn funded by SNSF, Idiap Research Institute, Addition Suisse, and University of Zurich, Switzerland. • Built ML models to detect heavy drinking behavior using multimodal mobile sensing data from 200+ participants across 847 user-nights, • Achieving up to 72% classification accuracy, and uncovering behavioral patterns in mobility, social context, and consumption for real-world health monitoring. IFNC-Integrative Food and Nutrition Center funded by EPFL-IFNC, EPFL, Switzerland. • Analyzed food and drink behaviors using 2.8M+ Instagram posts and curated datasets (55K–95K samples), • Building ML models to classify eating patterns with 85.8% accuracy (healthy vs. unhealthy) and 61.7% accuracy (6 meal categories), uncovering large-scale sp

Research Trainee

Idiap Research Institute

Nov 2014 - Aug 2015 (10 months)

Visualizing of communication and mobility patterns from big phone data (D4D Challenge) in the framework of the project “Social Media Africa Mirror” under the supervision of Prof. Daniel Gatica-Perez.

Senior Developer - Team Lead

DIRECTV

May 2014 - Aug 2014 (4 months)

* Outsourcing with DirecTV Company, a big television company in the US. * Team lead in coordinating discussion of database evaluation and researching on SQL/Non-SQL between US team and Vietnamese team.

Research Intern

Aalto University

Mar 2013 - Aug 2013 (6 months)

* Conducted 6-month Master’s thesis in Finland on “Diffusion Rate on Twitter based on Semantic Relatedness and Homophily of Users,” applying Python, MongoDB, and Hadoop to analyze large-scale Twitter data. * Applied text mining with Wikipedia as a knowledge base to calculate semantic relatedness, predict information diffusion through user networks, and identify key factors influencing homophily and anti-homophily.

Research Intern in semester project

EURECOM

Oct 2012 - Feb 2013 (5 months)

* Completed 5-month semester project at Eurecom, Biot, France with Assistant Prof. Raphaël Troncy: “Grab Your Favourite TV Show and Share It.” * Developed a simulated web application to synchronize video playback between master and slave browsers using Kinect-based user gestures, integrating Kinesis, WebSocket, WebRTC, BinaryJS, NodeJS, JavaScript, and HTML5.

Android Developer Intern

GridPocket SophiaAntipolis France

Oct 2012 - Feb 2013 (5 months)

* Completed 5-month internship at GridPocket, Sophia Antipolis, France on the “Energy Diet Application.” * Contributed as Android Developer, focusing on Android/Java programming and SQLite database design to build an app that helps users reduce energy expenses.

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Research Intern

Jul 2011 - Sep 2013 (2 years 3 months)

Worked on textual information retrieval on ZingMe social network at VinaGame (Vietnam). Did Android programming and SQLite database design for the Energy Diet application at GridPocket (France). Developed synchronized video playback using Kinect gestures and web technologies at Eurecom (France). Predicted information diffusion using semantic relatedness and user topology; analyzed homophily/anti-homophily at Aalto University (Finland).

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Teaching Assistant

VIETNAM NATIONAL UNIVERSITY HCM UNIVERSITY OF SCIENCE

Jan 2010 - Jan 2011 (1 year 1 month)

* Teaching Assistant (2010–2011) at University of Science, Vietnam National University HCMC (ranked top in IT education in Vietnam and second in Southeast Asia by AUN, 2009). * Teaching multiple courses across partner institutions, including Database, Database Design, Web/Application Programming, and Information Systems Analysis at VNU-HCMC, Tien Giang University, and Ca Mau Community College.

Research and Development Intern

VinaGame JSC

Jan 2010 - Jan 2011 (1 year 1 month)

* Conducted research on textual information retrieval of Vietnamese teenage language on the ZingMe social network. * Developed methods to evaluate and filter teen language, extracting valuable insights from millions of user feeds across Vietnam.

Software Engineer

Harvey Nash

Jan 2010

• Working on database management and analysis with MS SQL Server. I design and migrate old database to new database with tables, views, and store procedures.

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