Faculty
Phd Students
Hussein AlawiehHussein Alawieh is a graduate student pursuing a PhD in Electrical and Computer Engineering (ECE) at the University of Texas at Austin. Hussein joined Dr. Millán's CNBI lab after earning his Bachelors and Masters of Engineering in ECE from the American University of Beirut (AUB). During his graduate years at UT, Hussein's research will be focused on developing brain computer interfaces (BCI) that can be translated to clinical use in cases of motor and cognitive disabilitiesSatyam KumarSatyam Kumar is an Electrical and Computer Engineering graduate student in the CNBI lab at the University of Texas at Austin. Before joining Dr. Millán at UT, Satyam earned his Bachelor-Master of Technology in Electrical Engineering from the Indian Institute of Technology Kanpur (IIT Kanpur) through a dual degree program.
Satyam plans to pursue research focused on computational approaches for faster user training and adaptation in non-invasive brain-computer interfaces during his Ph.D. at UT Austin. Deland LiuDeland is currently a PhD student supervised by Prof. Millán at the Department of Electrical and Computer Engineering, The University of Texas at Austin. His research focuses on creating brain-machine interfaces to assist people suffering from motor, cognitive and sensory disabilities. Prior to this, he was a researcher in the Wearable Technologies Lab at Imperial College London, where he focused on developing wearable EEG-based systems to improve long-term monitoring, the diagnosis and treatment of different medical conditions. He received the M.Eng. degree in Electrical and Electronic Engineering from Imperial College London in 2019. His current research interests include brain-machine interfaces, wearable systems, biomedical signal analysis and neuroscience.
Deland is currently a PhD student supervised by Prof. Millán at the Department of Electrical and Computer Engineering, The University of Texas at Austin. His research focuses on creating brain-machine interfaces to assist people suffering from motor, cognitive and sensory disabilities. Prior to this, he was a researcher in the Wearable Technologies Lab at Imperial College London, where he focused on developing wearable EEG-based systems to improve long-term monitoring, the diagnosis and treatment of different medical conditions. He received the M.Eng. degree in Electrical and Electronic Engineering from Imperial College London in 2019. His current research interests include brain-machine interfaces, wearable systems, biomedical signal analysis and neuroscience.
PostDocs
Diego Mac-Auliffe I am a General Physician, Master in Cognitive Neurosciences and Doctor in Cognitive Neurosciences. I worked as a postdoc with Dr. Jean Philippe Lachaux as part of the Eduwell team, in DYCOG - CRNL, France.
Currently, I am working as a postdoctoral fellow with Dr. José del R. Millán at the Clinical Neuroprosthetics and Brain Interaction (CNBI) Lab at the University of Texas at Austin, USA. I am an expert on intracranial EEG, and my current interests are BCI, human prosthetics and rehabilitation.
I am a General Physician, Master in Cognitive Neurosciences and Doctor in Cognitive Neurosciences. I worked as a postdoc with Dr. Jean Philippe Lachaux as part of the Eduwell team, in DYCOG - CRNL, France.
Currently, I am working as a postdoctoral fellow with Dr. José del R. Millán at the Clinical Neuroprosthetics and Brain Interaction (CNBI) Lab at the University of Texas at Austin, USA. I am an expert on intracranial EEG, and my current interests are BCI, human prosthetics and rehabilitation.
Research Engineer
Zachery HernandezZach is a research engineering/scientist associate working for Dr. Millán's brain-computer interface research lab. Prior to this, he earned his Master of Science in Electrical Engineering (MSEE) degree from the University of Houston and has contributed to several research projects aiming to understand the neural basis of motor intent/development/recovery via recording (EEG, EMG) and stimulation (tsDCS) systems. His research interests are generally focused on the use of non-invasive neurotechnology (recording/stimulation systems) in clinical applications.
Zach is a research engineering/scientist associate working for Dr. Millán's brain-computer interface research lab. Prior to this, he earned his Master of Science in Electrical Engineering (MSEE) degree from the University of Houston and has contributed to several research projects aiming to understand the neural basis of motor intent/development/recovery via recording (EEG, EMG) and stimulation (tsDCS) systems. His research interests are generally focused on the use of non-invasive neurotechnology (recording/stimulation systems) in clinical applications.