• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
UT Shield
The University of Texas at Austin
  • About
  • Team
    • CNBI Lab Members
    • Alumni
  • Research
  • Publications
  • Projects
    • Closed-Loop Brain Stimulation as a Potential Intervention for Cognitive Decline
    • Sinergia
    • Hasler project
    • NCCR Robotics
    • CNBI-NISSAN
    • BNCI Horizon 2020
    • TOBI
    • CNBI-Colombia
    • Opportunity
    • BID
    • BACS
    • MAIA
    • IM2, BMI Integrated Project (Swiss NCCR)
  • Events
  • News
  • Video-Media

Clinical Neuroprosthetics and Brain Interaction LabCNBI Lab

 

 

News

October 20, 2023, Filed Under: News

Nissan Formula E Team & CNBI demonstrates improvements in cognitive function with bespoke brain training program

The CNBI team is working with Nissan Brain to Performance program and it shows new research findings. See below an excerpt of Nissan’s press release. Nissan reveals key research findings from its innovative Brain to Performance program YOKOHAMA, Japan (October 11, 2023) – Nissan reveals the results of its innovative… read more 

September 1, 2023, Filed Under: News

Kanishka Mitra wins the Attendee’s Choice Award at Interface Rice 2023 Poster Session

The CNBI team member Kanishka Mitra, one of our MS students co-supervised by Dr. Ashish Deshpande, won Attendee’s Choice Award for Best Poster at the InterfaceRice 2023 meeting with his poster titled: “Characterising the onset and offset of motor-imagery during passive arm movement induced by an upper-body exoskeleton.”

August 10, 2023, Filed Under: News

Modified Virtual Reality Tech Can Measure Brain Activity

AUSTIN, Texas — Researchers have modified a commercial virtual reality headset, giving it the ability to measure brain activity and examine how we react to hints, stressors and other outside forces. The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed… read more 

June 30, 2023, Filed Under: News

Deland Liu Win Best Poster Award @ 10th International BCI Meeting

We are pleased to announce that Deland Liu won the best poster award at the 10th International BCI meeting along with the travel award.

May 5, 2023, Filed Under: News

Your Daily Dose of Dopamine 369: Robots and their Relationship with Humans in Healthcare Environment

Today we’re talking robots and their relationship with humans, especially when it comes to health care. We are joined by Dr. Jose Millan of the University of Texas in Austin in 3 short episodes. You can find out more about his research at his site, https://sites.utexas.edu/jdrmillan/ Episode 1 Episode 2… read more 

April 30, 2023, Filed Under: News

Hannah Lee wins NSF Graduate Fellowship to study at Stanford University

Our undergrad student Hannah Lee, co-supervised by Dr. Emily Porter (ECE) and Dr. Jose del R. Millan (ECE), has won a NSF Graduate Fellowship. She will pursue graduate studies at Stanford University. Hannah Lee is amounts the four Texas ECE Students that won the Prestigious NSF Graduate Resesarch Fellowship. Read… read more 

  • « Go to Previous Page
  • Page 1
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Go to Next Page »

Primary Sidebar

Latest News

  • Prof. José del R. Millán appointed as the new Director of Texas Robotics
  • Deland Liu Successfully Defended his PhD Thesis. Congratulations!!
  • A Jolt of Innovation for Brain-Computer Interfaces
  • Akhil Surapaneni Successfully Defended his PhD Thesis. Congratulations!!
  • Satyam Kumar Successfully Defended his PhD Thesis. Congratulations!!

Latest Publications

Alawieh H, Liu D, Madera J, Kumar S, Racz FS, Fey AM, Del R Millán J. Electrical Spinal Cord Stimulation Promotes Focal Sensorimotor Activation that Accelerates Brain-computer Interface Skill Learning. Proc Natl Acad Sci U S A. 2025 Jun 17;122(24):e2418920122.

Racz FS, Kumar S, Kaposzta Z, Alawieh H, Liu DH, Liu R, Czoch A, Mukli P, Millán JDR. Combining Detrended Cross-Correlation Analysis with Riemannian Geometry-based Classification for Improved Brain-computer Interface Performance. Front Neurosci. 2024 Mar 14;18:1271831.

Kumar S, Alawieh H, Racz FS, Fakhreddine R, Millán JDR. Transfer Learning Promotes Acquisition of Individual BCI Skills.PNAS Nexus, Volume 3, Issue 2, February 2024, page076.

Iwane F, Billard A, Millán JDR. Inferring Individual Evaluation Criteria for Reaching Trajectories with Obstacle Avoidance from EEG Signals. Sci Rep. 2023 Nov 17;13(1):20163.

S. Kumar S. Kumar, D. H. Liu, F. S. Racz, M. Retana, S. Sharma, F. Iwane, B. P. Murphy, R. O’Keeffe, S. F. Atashzar, F. Alambeigi, J. del R. Millán. CogniDaVinci: Towards Estimating Mental Workload Modulated by Visual Delays During Telerobotic Surgery – An EEG-based Analysis. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 6789-6794.


For a complete list of publications go to our Publications page!

UT Home | Emergency Information | Site Policies | Web Accessibility | Web Privacy | Adobe Reader

© The University of Texas at Austin 2026