Hamza El Alaoui
Human-Computer Interaction Institute
Campus Address
407 S. Craig St., Room 214
Links
Research Areas
Hamza El Alaoui is a Ph.D. student at Carnegie Mellon University’s School of Computer Science, advised by Dr. Jeffrey P. Bigham. His research bridges machine learning, robotics, and human–computer interaction to enable multimodal human–agent collaboration for human augmentation.
His work focuses on two complementary directions: building context-aware systems that interpret and structure multimodal signals—such as speech, vision, and temporal data—to refine and align digital and embodied agents with user intent; and designing adaptive collaborators that translate perception and reasoning into intuitive support, enhancing human cognitive, physical, and sensory capabilities.
Before graduate school, Hamza was a Member of Technical Staff at Oracle, where he was part of the Fusion AI and Machine Learning research groups. He previously interned at Mastercard and Prodware. He holds a B.S. in Computer Science.
Research Interests
Human Augmentation, Machine Learning, Robotics, Human-Robot Interaction, Human-Agent Collaboration
