Dr. Bae and Dr. Sanchez Giraldo's labs co-presented "Intelligent Machines and Brain" at E-day, hosted by the College of Engineering at the University of Kentucky.
The presentation was a big success. Special thanks to Santiago, Bhoj, Trey, and Jose!
Congratulations, Jared, Trey, Bhoj, and Jenna for presenting research work on the annual Neuroscience RPA Clinical Translational Research Symposium!
It was such a great success in Curiosity Fair 2023!
Thanks a lot for Bhoj, Trey, and Thomas, providing the interactive demonstrations of the brain machine interfaces.
Additional photos from the event can be accessed here.
I delightfully announce a publication in Journal of Visualized Experiments (JoVE)!
The article is entitled “Equipment Setup and Artifact Removal for Simultaneous Electroencephalogram and Functional Magnetic Resonance Imaging for Clinical Review in Epilepsy.”
This paper is accessible on the following link: https://www.jove.com/t/64919/equipment-setup-artifact-removal-for-simultaneous
Congratulations, Jared for presenting research work on the annual UK Showcase of Undergraduate Scholars!
Congratulations, Jenna and Jared for presenting research projects on the 2023 ECE Research Symposium!
Congratulations! I am pleased to announce that Jared Rybarczyk was selected for a College of Engineering Undergraduate Research Fellowship.
Congratulations! I am pleased to announce that Jared Rybarczyk was selected for an ECE Undergraduate Research Fellowship.
I delightfully announce Bhoj Raj Thapa and Daniel Restrepo Tangarife's publication in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)!
The article is entitled “Kernel Temporal Differences for EEG-based Reinforcement Learning Brain Machine Interfaces.”
This paper is accessible on the following link: https://ieeexplore.ieee.org/document/9871862
I delightfully announce a journal publication in Journal of Neural Engineering!
The article is entitled “Validation of a non-invasive, real-time, human-in-the-loop model of intracortical brain-computer interfaces.”
This paper is accessible on the following link: https://iopscience.iop.org/article/10.1088/1741-2552/ac97c3
I delightfully announce Benton Girdler and William Caldbeck's journal publication in Frontiers in System Neuroscience!
The article is entitled “Neural Decoders Using Reinforcement Learning in Brain Machine Interfaces: A Technical Review.”
This paper is accessible on the following link: https://doi.org/10.3389/fnsys.2022.836778
I delightfully announce William Plucknett's jounal publication in Frontiers in Human Neuroscience! The article is entitled “Metric Learning in Freewill EEG Pre-Movement and Movement Intention Classification for Brain Machine Interfaces.”
This paper is accessible on the following link: https://doi.org/10.3389/fnhum.2022.902183
I delightfully announce Benton Girdler's jounal publication in International Forum of Allergy and Rhinology! The article is entitled “Feasibility of a deep learning-based algorithm for automated detection and classification of nasal polyps and inverted papillomas on nasal endoscopic images.”
This paper is accessible on the following link: https://onlinelibrary.wiley.com/doi/10.1002/alr.22854
Congratulations! I am pleased to announce that William Caldeck was selected for an Engineering Summer Undergraduate Research Fellowship.
I am happy to announce Jonathan Fugal's jounal publication on Robotics! The article is entitled “On the Impact of Gravity Compensation on Reinforcement Learning in Goal-Reaching Tasks for Robotic Manipulators.”
This paper is accessible on the following link: https://www.mdpi.com/2218-6581/10/1/46
This year, Virtual E-day was provided on February 27th, hosted by the College of Engineering at the University of Kentucky, and the on demand demaonstrations and presentations can be viewed in the following link: https://www.youtube.com/playlist?list=PLV9mldv0SvkRRckgJwfuZ2YLO7UT0bhAj
Dr. Bae provided a presentation entitled, "Brain Machine Interfaces," and her presentation can be accessed in the following link: https://www.youtube.com/watch?v=4XvAZyGKfAQ&list=PLV9mldv0SvkRRckgJwfuZ2YLO7UT0bhAj&index=73
Congratulations! I am pleased to announce that William Plucknett was selected for an ECE Undergraduate Research Fellowship.
Congratulations! I am pleased to announce that Benton Girdler was selected to recieve 2021 National Science Foundation Graudate Research Fellowship.
Dr. Jihye Bae has awareded Conference and Workshop Grants from University of Kentucky (UK). Thanks to supports from UK's Office of the Vice President for Research and the Electrical and Computer Engineering Department, Dr. Bas is hosting a Neuro-Engineering Workshop with EEG-focused Brainstorm Training at UK.
Please check the following Workshop webpage for further details: http://neuroengworkshop.engr.uky.edu/
Dr. Jihye Bae has been selected to attend 2020 NSF ENG CAREER Proposal Writing Workshop!
Dr. Bae and Dr. Sanchez Giraldo's labs are co-presenting "Intelligent Machines and Brain" at E-day, hosted by the College of Engineering at the University of Kentucky.
When: Feb. 22, 2020 @ 9am ~12pm
Where: RMB 209, University of Kentucky
The presentation was a big success! Thank Anik, Phillip, and Nick for hard work.
Dr. Bae's Neural Interfaces and Signal Processing (NISP) lab and Dr. Sanchez Giraldo's Computational Learning, Intelligence, and Perception (CLIP) lab had the first dinner gathering with lab members.
Thanks all for participataing!
Dr. Jihye Bae will provide a research talk as a part of Korean Student Association in University of Kentucky's seminar series.
When: Feb. 7, 2020 @6pm
Where: Jacobs Science Building 261M, University of Kentucky
Title: Introduction to Brain Machine Interfaces
Abstract: Brain machine interfaces (BMIs) have been a subject of active research because of their potential for a wide range of applications once the technology reaches maturity. Developing technologies for BMIs is an essential step to ultimately help overcome neuromuscular disabilities and treat neurological disorders. In this talk, an overview of brain machine interfaces will be provided, and signal processing and machine learning approaches will be discussed.
