Cong Dao Tran

Cong Dao Tran

Biography

Hi there, welcome to my personal page!

I am currently an AI Research Resident under the supervision of Dr. Hoang Thanh Tung at FPT Software AI Center, Vietnam. I hold a Master’s degree in Data Science and Artificial Intelligence and a Bachelor’s degree in Computer Science under the supervision of Prof. Huynh Thi Thanh Binh at the School of Information and Communication Technology (SOICT), Hanoi University of Science and Technology (HUST), Vietnam. My research interests include natural language processing, operations research, graph neural networks, reinforcement learning, and evolutionary computation.

Prior to my current position, I worked as a Research Assistant under the supervision of Prof. Huynh Thi Thanh Binh at the Modelling, Simulation, and Optimization Laboratory (MSO Lab), SOICT, HUST, and I published several papers in prestigious journals and conferences, such as Memetic Computing, Applied Intelligence, Genetic and Evolutionary Computation Conference, and Congress on Evolutionary Computation.

🔥 News

📝 Publications

Conferences

  • MNDE: Node-depth based Encodings can do better in Multitasking Evolutionary Algorithms, by Cong Dao Tran, Do Tuan Anh, Huynh Thi Thanh Binh, Do Duc Anh, Ban Ha Bang, Su Nguyen, (GECCO 2023) [paper, poster]
  • ViDeBERTa: A powerful pre-trained language model for Vietnamese, by Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu, The European Chapter of the ACL (EACL 2023) [paper, poster]
  • A Multifactorial Evolutionary Algorithm For Minimum Energy Cost Data Aggregation Tree In Wireless Sensor Networks, by Cong Dao Tran, Tran Huy Hung, Nguyen Thi Tam, Huynh Thi Thanh Binh, IEEE Congress on Evolutionary Computation (CEC 2021)

Journals

  • A Hybrid and Adaptive Evolutionary Approach for Multitask Optimization of Post-Disaster Traveling Salesman and Repairman Problems, by Ban Ha Bang et al., Computers and Operations Research
  • Node depth representation-based evolutionary multitasking optimization for maximizing the network lifetime of wireless sensor networks, by Cong Dao Tran, Nguyen Thi Tam, Huynh Thi Thanh Binh, Engineering Applications of Artificial Intelligence
  • Node-depth based Genetic Algorithm to solve Inter-Domain path computation problem, by Do Tuan Anh, Huynh Thi Thanh Binh, Do Luong Kien, Nguyen Hoang Long, Cong Dao Tran, Ban Ha Bang, Knowledge-Based Systems
  • A Greedy Search based Evolutionary Algorithm for Electric Vehicle Routing problem, by Vu Quoc Hien, Cong Dao Tran, Huynh Thi Thanh Binh, Applied Intelligence
  • Parameter Adaptation in Multifactorial Evolutionary Algorithm for Many-task Optimization, by Ta Bao Thang, Cong Dao Tran, Nguyen Hoang Long, Huynh Thi Thanh Binh, Memetic Computing
  • An energy efficient scheme for maximizing data aggregation tree lifetime in wireless sensor network, by Cong Dao Tran, Nguyen Thi Tam, Nguyen Quang Quy, Huynh Thi Thanh Binh, Journal of Ambient Intelligence and Humanized Computing

Preprints

  • Symmetry-preserving graph attention network to solve routing problems at multiple resolutions, by Cong Dao Tran et al., under review
  • Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs, by Cong Dao Tran et al., under review

🎖 Honors and Awards

  • 2023: Scholarship for Master and Doctoral Training in Vietnam (~2,500 USD) - Vingroup Innovation Foundation (VinIF)
  • 2021, 2022: First Prize in Competition on Evolutionary Multi-task Optimization, Multi-task single-objective optimization - IEEE World Congress on Computational Intelligence
  • 2021: Full Scholarship for Master and Doctoral Training in Vietnam (~5,000 USD) - Vingroup Innovation Foundation (VinIF)
  • 2021: Best Thesis Presentation Award - School of Information and Communication Technology - Hanoi University of Science and Technology
  • 2021: Second Prize in the Scientific Research Student Award - Hanoi University of Science and Technology
  • 2021: Excellent Scholarship for the academic year (~1,000 USD) - Hanoi University of Science and Technology
  • 2020: Runner up in Competition on Evolutionary Multi-task Optimization, Multi-task single-objective optimization - IEEE World Congress on Computational Intelligence 2020
  • 2020: Third Prize in Competition on Electric Vehicle Routing Problem - IEEE World Congress on Computational Intelligence 2020
  • 2017: Excellent score in National University Exam (30.4/30, 1 regional priority point)
  • 2014, 2015, 2017: First Second Prize in Provincial Excellent Student in Mathematics

📖 Educations

  • 2022.01 - 2023.10 (now): Master’s degree in Data Science and Artificial Intelligence at School of Information and Communication Technology, Hanoi University of Science and Technology.
  • 2017.09 - 2021.10: Bachelor’s degree in Computer Science at School of Information and Communication Technology, Hanoi University of Science and Technology (Top 1%).

💻 Experiences