About

I am an undergraduate student majoring in Data Science and Artificial Intelligence at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST).

I am a Research Assistant at the Computational Intelligence Optimization Laboratory (CIO Lab), supervised by Prof. Huynh Thi Thanh Binh and MSc. Ho Viet Duc Luong. My work focuses on evolutionary and metaheuristic methods for complex combinatorial optimization problems, alongside machine learning and deep learning approaches for routing and wireless sensor networks.

My broader research interests include artificial intelligence, optimization, and bioinformatics. I have worked on LLM-based agentic optimization frameworks that integrate MILP solvers with heuristic search, as well as computational methods for multi-omics learning, drug response prediction, and protein-ligand modeling, including virtual screening and binding pocket prediction.

Open to research opportunities

Summer 2027

I am currently seeking Research Assistant and M.Sc. opportunities beginning in Summer 2027. I welcome a broad range of research directions, including but not limited to artificial intelligence and optimization, and am particularly interested in interdisciplinary problems with meaningful real-world impact.

Get in touch

Education

Hanoi University of Science and Technology

Aug 2024 - Jul 2027 (Expected)

Bachelor of Science in Data Science

  • GPA: 3.84/4.00 (Cumulative), 3.94/4.00 (Most Recent Semester).
  • Coursework: Machine Learning, Deep Learning, Optimization, Computer Science.

Le Quy Don High School for the Gifted

Aug 2021 - May 2024

High School Student - Specialized Mathematics Program

  • GPA: 9.3/10.0.
  • Honors include Fourth Prize at the 2024 Vietnam National Mathematics Olympiad, the 2023 Odon Vallet Scholarship, and Second Prize at the 2021 Provincial Science and Engineering Competition.

Experience

School of Information and Communication Technology, HUST

Sep 2026 - Present

Undergraduate Teaching Assistant

  • Supporting Introduction to Programming and Computer Networks courses serving more than 500 students.

Computational Intelligence Optimization Laboratory, BKAI, SoICT, HUST

Aug 2024 - Present

Undergraduate Research Assistant

  • Supervised by Prof. Huynh Thi Thanh Binh and MSc. Ho Viet Duc Luong.
  • Researching evolutionary, metaheuristic, and ML/DL methods for routing, wireless sensor networks, and related combinatorial optimization applications.

Quantum AI & Cyber Security Institute (QACI), FPT Corporation

Mar 2026 - Sep 2026

AI Engineer

  • Selected for the FPT FutureTech Talents 2026 Program as a Top 3 candidate among more than 1,000 applicants.
  • Investigated LLM-based agentic optimization frameworks that formulate complex decision-making problems, invoke MILP solvers for exact reasoning, and integrate heuristic and metaheuristic search for scalable solution refinement.

Viettel Digital Talent 2026 Program, Viettel Group

Apr 2026 - Jun 2026

AI Engineering Intern

  • Selected for the Data Science & AI track, achieving 8.67/10 on the major test and 144/160 on the IQ test.

Publications

Google Scholar

Accepted 2

Peer-reviewed and accepted work

  1. 2025Conference

    Toward a Culture-Aware Vietnamese Mental Health Support Chatbot with Large Language Models

    Nguyen Tran Minh Nhat, Pham Cong Hoang, Tran Phong Quan, Tran Le Dung, Long D. Nguyen, Nguyen Duong Hung, and Ho Viet Duc Luong.

    Proceedings of the 14th International Symposium on Information and Communications Technology, 2025

    Accepted
  2. 2026Journal

    Interpretable Multi-Omics Learning with Cell-Conditioned Motif Graphs for Drug Response Prediction

    Long D. Nguyen, Luong Ho, Nhat M. T. Nguyen, Hoang C. Pham, Paul Teesdale-Spittle, and Binh P. Nguyen.

    Applied Soft Computing Journal (Q1, IF 7.8)

    Accepted

Under review 3

Journal and conference manuscripts

  1. 2026Journal

    Multi-objective Cluster Head Selection in Underwater Wireless Sensor Networks: An Influence Maximization Perspective with Adaptive Evolutionary Optimization

    Pham Cong Hoang, Ho Viet Duc Luong, and Nguyen Minh Quan.

    Cluster Computing (Q1, IF 5.5)

    Under review
  2. 2027Conference

    Risk-Controlled Correction for Frozen Multimodal Models under Missing Modalities

    Hoang Pham Cong, Ho Viet Duc Luong, Duy Long Nguyen, Nguyen Tran Minh Nhat, Huynh Thi Thanh Binh, and Phu Binh Nguyen.

    The Fifteenth International Conference on Learning Representations (ICLR 2027)

    Under review
  3. 2027Conference

    The Decision Value of Perception Computing

    Hoang Pham Cong and Ho Viet Duc Luong.

    The Fifteenth International Conference on Learning Representations (ICLR 2027)

    Under review

Awards

Apr 2026

Academic Excellence Scholarship - HUST

Awarded for outstanding academic performance as a top 5% student among 120 Data Science students.

Dec 2025

Runner-up, SOICT 2025 Competition Track

Maximizing benefit in Supplier Consumer Transportation with lower- and upper-bound capacity constraints.

Aug 2025

First Prize (Champion) - Hanoi Mathematical Modeling Competition

Nurse Scheduling Problem and SIR-based infectious disease modeling.

Aug 2024

First Prize (Champion) - Hanoi Mathematical Modeling Competition

Markowitz portfolio optimization and risk warning modeling for the 2023 Credit Suisse collapse.

2024

Fourth Prize, Vietnam National Mathematics Olympiad

National-level recognition in mathematics.

2023

Odon Vallet Scholarship for Academic Excellence

Awarded for outstanding academic achievement.

2021

Second Prize, Provincial Science and Engineering Competition

Developed Python Student Assistant.

Projects

Benchmark study

Fundamental Concepts and Methods in Biomedical Image Registration

  • Led a biomedical image registration project comparing Diffeomorphic Demons, PSO, and compact VoxelMorph and TransMorph models in a reproducible pipeline.
  • Benchmarked four methods on 85 OASIS-1 brain MRI test pairs using MSE, NCC, Dice, runtime, and Jacobian-based deformation regularity.

Contact

For research opportunities, academic collaboration, or other inquiries, please get in touch.

job.hoangphamcong@gmail.com