In the academic year 2025–2026, the Faculty of Information Technology continues to actively promote scientific research activities for both faculty members and learners. The projects demonstrate strong academic contributions while addressing real-world challenges in healthcare, energy, e-commerce, and smart urban systems.

1. University-level Research Projects for Faculty Members

Selected projects include:

• Mining top-k high-utility itemsets in incremental databases
  Principal Investigator: M.Sc. Manh Thien Ly
• A weighted sequential pattern mining method based on a hybrid Artificial Rabbits Optimization and Multi-Verse Optimizer (ARO–MVO)
  Principal Investigator: M.Sc. Nguyen Thi Thu Tam
• Improving fuzzy clustering for breast cancer data using a hybrid AAIA–HHO model for medical diagnosis support
  Principal Investigator: M.Sc. Nguyen Thi Thuy Trang
• Dataset construction and indoor positioning model based on WiFi signals
  Principal Investigator: Dr. Duong Bao Ninh
• Development of an optimization tool for EV charging scheduling and fleet operation using EFJSP-MM and MVCCO
  Principal Investigator: M.Sc. Nguyen The Huu
• Development of a web-based system for internship management and evaluation (e-Internship HUIT)
  Principal Investigator: Dr. Vu Duc Thinh
• Face recognition-based access control and user management system for HUIT Library
  Principal Investigator: Dr. Huynh Thai Hoc

2. University-level Research Projects for Students, Graduate Students

Selected projects include:

• Multilevel grayscale image segmentation using hybrid WOA–GWO based on fuzzy entropy
  Student: Truong Van Thach Bao
• Optimal gene feature selection using hybrid RBMO and SBOA for early leukemia diagnosis systems
  Student: Phung Thi Ly
• A multi-strategy hybrid evolutionary algorithm for the Traveling Salesman Problem (TSP)
  Student: Nguyen Duy Phat
• Hybrid Cuckoo Catfish and Artificial Afterimage Algorithm for intelligent sleep disorder diagnosis
  Student: Ho Nguyen Linh Chi
• Wind turbine layout optimization using Football Team Training and Kepler Optimization
  Student: Nguyen Dinh Duc
• Sequential pattern mining with co-occurrence mapping and weighted constraints for purchase behavior prediction
  Student: Nguyen Hung Khanh Tu
• Optimization of EV charging station planning using Marine Predators and Osprey Optimization
  Student: Phung Thi Nhu Y
• Forest fire risk optimization using hybrid TGO-SMA with meteorological and Landsat 8 data
  Student: Nguyen Cao Manh Hung
• Improved NSGA-II for doctor shift scheduling
  Student: Nguyen Tan Sang
• Student housing recommendation system based on community detection algorithms
  Student: Tai Thanh Tuan

3. General Remarks

These projects highlight the Faculty’s strategic research directions:

• Advancing Artificial Intelligence and Machine Learning applications
• Strengthening research in optimization and metaheuristics
• Developing solutions for digital transformation, smart cities, and sustainable energy

Scientific research activities not only enhance academic capacity but also foster a dynamic research environment, strengthening the connection between faculty, students, and industry practice.