Bowen Zhang

AI Researcher & Engineer | Agentic AI · Multimodal Learning · HCI · Embodied Intelligence
· 📧 [email protected] · GitHub

About

I am working at the intersection of AI research and real-world engineering, with experience across academic labs and large-scale industry systems.
My work focuses on building robust, human-centered intelligent systems that combine language, perception, and interaction.

Interests

• Agentic AI and LLM-based systems
• Multimodal learning (speech, gaze, text, sensor signals)
• Human–computer interaction and interactive AI
• Embodied intelligence and robot interaction
• Applied AI systems for healthcare and industrial scenarios

Selected Work

• Struct-ENA: Modeling Structural Dynamics of Parent-Child Homework Interactions for Generative AI Simulations (2026, submitted in ACM IMWUT)
• A Biomimetic Interactive Robot Control System Based on Multimodal Affect Recognition (IEEE ARM 2026, accepted)
• CL-RAG: A Closed-Loop Multimodal Retrieval-Augmented Generation Architecture for Robust Human-Robot Control Interaction (2025, WRC SARA)

Experience Highlights

• CNRS & Université Paris 8 — LLM tools for corpus linguistics
• GPI S.p.a — Speech emotion recognition for telehealth AI agent
• CiMeC — Eye-tracking and gaze-contingent HCI experiments
• FBK — Sensor systems and quantum machine learning
• State Grid Corporation of China — Infrastructure-grade software & automation systems

Education

• M.Sc. in Computer Science (HCI & Design), University of Trento
• B.Eng. in Cybernetics, Harbin Institute of Technology

Skills

Programming: C/C++, Python, Java, SQL
ML: PyTorch, TensorFlow, Keras
Systems: Linux, Git/SVN, MATLAB/Simulink