Stephen studies Computer Science, Physics, and Math at Northeastern University. He is highly interested in human-in-the-loop robotic systems and the connection between biology/neuroscience and robotics. His research involves using probabilistic deep learning methods to create flexible and comprehensible models. Stephen is interested in all collaborations or opportunities involving robotics, machine learning, neuroscience, statistical modeling, and virtual reality.
Fun Fact: Stephen loves helping the local community and has over 500 volunteer hours during his time at Northeastern!
Wonsick M., Kelestemur T., Alt S., and Padir T., “Telemanipulation via Virtual Reality Interfaces with Enhanced Environment Models”, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
A. Tzadok, S. Alt, and A. Valdes-Garcia, “Towards Attention Driven 3D Radar for Event Classification: Loosely Coupled Multimodal AI”, Government Microcircuits Applications and Critical Technology Conference (GOMAC), 2021.
Luo R., Wang C., Schwarm E., Keil C., Mendoza E., Alt S., Whitney P., and Padir T., “Towards Robot Avatars: Systems and Methods for Teleinteraction at Avatar XPRIZE Semi-Finals”, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
B.S - Computer Science
B.S. - Physics