José del R. Millán
Professor
Develops brain-machine interfaces with machine learning decoders and shared control for neuroprosthetics and rehabilitation.
José del R. Millán's lab at UT Austin works on interfaces & interaction techniques and human-robot interaction & assistive robots. 24 papers since 2023, 1 at top venues, mostly ICRA. 7 PhD students. 33 alumni, most often to BOLD Technologies and Meta. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 4%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 33
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 0
- 9 papers2024 · T1 0
- 12 papers2023 · T1 1
T1 venuesOtherVenues: ICRA
Research focuspaper titles that use each topic's words
- Human-robot interaction & assistive robots4 papers
- Interfaces & interaction techniques3 papers
- shared1 paper
- brain-machine0 papers
- brain-machine interfaces0 papers
Paper list
From the lab homepage.
20253 papers
- Proc Natl Acad Sci U S AElectrical Spinal Cord Stimulation Promotes Focal Sensorimotor Activation that Accelerates Brain-computer Interface Skill Learning (opens in a new tab)
- J Neural EngNovel AIRTrode-based Wearable Electrode Supports Long-term, Online Brain-computer Interface Operations (opens in a new tab)
- J Neural EngPersonalized μ-transcranial Alternating Current Stimulation Improves Online Brain-computer Interface Control (opens in a new tab)
20249 papers
- Nat Biomed EngAn Application-based Taxonomy for Brain-computer Interfaces (opens in a new tab)
- Front NeurosciCombining Detrended Cross-Correlation Analysis with Riemannian Geometry-based Classification for Improved Brain-computer Interface Performance (opens in a new tab)
- J Neural EngCustomizing the Human-avatar Mapping Based on EEG Error Related Potentials during Avatar-based Interaction (opens in a new tab)
- IEEE Trans Neural Syst Rehabil EngEvaluating the Feasibility of Visual Imagery for an EEG-Based Brain-Computer Interface (opens in a new tab)
- Scientific ReportsHebbian Plasticity Induced by Temporally Coincident BCI Enhances Post-stroke Motor Recovery (opens in a new tab)
- IEEE Transactions on Automation Science and EngineeringNoninvasive EEG-Based Intelligent Mobile Robots: A Systematic Review (opens in a new tab)
- Nat Hum BehavOne Hundred Years of EEG for Brain and Behaviour Research (opens in a new tab)
- Brain StimulPersonalized Whole-brain Activity Patterns Predict Human Corticospinal Tract Activation in Real-time (opens in a new tab)
- PNAS NexusTransfer Learning Promotes Acquisition of Individual BCI Skills (opens in a new tab)
202312 papers
- Int. BCI MeetingBrain-computer interface training fosters perceptual learning (opens in a new tab)
- IEEE/RSJ Int Conf Intelligent Robots and Systems Detroit, USACharacterizing the onset and offset of motor imagery during passive arm movements induced by an upper-body exoskeleton (opens in a new tab)
- ICRA (T1)CogniDaVinci: towards estimating mental workload modulated by visual delays during telerobotic surgery – An EEG-based analysis (opens in a new tab)
- Int. BCI MeetingDetection of movement preparation-related slow cortical potentials using Riemannian geometry and template matching (opens in a new tab)
- iScienceEEG Error-related potentials encode magnitude of errors and individual perceptual thresholds (opens in a new tab)
- PLOS ONEEEG signature of breaks of embodiment in VR (opens in a new tab)
- Soft ScienceHair-compatible sponge electrodes integrated on VR headset for electroencephalography (opens in a new tab)
- Scientific ReportsInferring Individual Evaluation Criteria for Reaching Trajectories with Obstacle Avoidance from EEG Signals (opens in a new tab)
- NEROn Transfer Learning for Naive Brain Computer Interface Users (opens in a new tab)
- Int. IEEE EMBS Neural Engineering ConfRiemannian geometry-based detection of slow cortical potentials during movement preparation (opens in a new tab)
- Int BCI Meeting Brussels, BelgiumTranscutaneous electrical spinal stimulation fosters motor imagery skill acquisition (opens in a new tab)
- In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous SystemsValidation of Shared Intelligence Approach for Teleoperating Telepresence Robots Through Inaccurate Interfaces (opens in a new tab)
Where alumni went33 listed, 68% to industry
Industry 19Academia 9
Most often to
- BOLD Technologies
- Meta
- ML Systems
Also to
- Geneva University Hospital
- EPFL
- MIT
Apply to UT AustinFall 2027
Computer Science PhD
- Round
- Single round (Dec 15)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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