Current Lab Members
Krithiga Aruljothi holds a B.E. in Biomedical engineering from Anna University, India. She is currently pursuing Master’s in Biomedical Engineering at ASU. Krithiga’s research focus involves finding the appropriate treatment for Peripheral Idiopathic Neuropathy with the help of intraneural electrodes.
Kari R. Ashmont
4th year Doctoral Candidate in Biomedical Engineering
Master of Science in Biomedical Engineering – Arizona State University (2015)
Bachelor of Science in Mechanical Engineering – Clarkson University (2006)
Bachelor of Science in Biology – Clarkson University (2006)
Kari is interested in how engineering concepts and innovation can be used to improve clinical care, particularly in realm of brain-computer interfacing. Currently, she works with clinicians at area hospitals to study seizure disorders and to investigate what information can be extracted from the brain using cutting edge technology, such as microelectrocorticography. She also helps with a cortically based visual prosthetic project to investigate how using different types of electrodes may impact our ability to produce useful visual percepts for people suffering with blindness.
3rd year Doctoral student in Biomedical Engineering
Bachelor of Science in Biomedical Engineering – University of Utah (2012)
Cody is investigating the encoding of dexterous finger movements in the peripheral nervous system in nonhuman primates as well as humans. He is currently working on a project decoding both force and position data from neural signals recorded in the median nerve during individual and combined finger flexions in healthy nonhuman primates. He hopes to investigate the long-term reliability of these peripheral neural signals for use in motor prostheses.
1st year doctoral student in Biomedical Engineering
Bachelor of Science in Biomedical Engineering – University of Michigan (2014)
Breanne’s undergraduate research focused on analyzing how different signal processing techniques can impact the performance of neuroprosthetic devices. She is currently working on a vision restoration project, which involves electrically stimulating neural cells in the visual cortex to determine if useful visual information is conveyed. She will compare epi-cortical and intra-cortical microstimulation approaches in order to determine a safe, effective and long-term vision-restoration solution that interfaces with the human visual cortex.
Gaurika Annapantula holds a B.E. in Biomedical engineering from JNT University, India. She is currently pursuing her Masterís in Biomedical Engineering at ASU. Her intrests are inclined towards using data mining and machine learning concepts to better existing clinical care and diagnostics. Her research involves applying supervised and unsupervised machine learning algorithms for seizure detection.
Apoorva Kelkar has completed her Bachelor’s in Instrumentation and Control engineering from Pune University, India. She is currently a Master’s student in the School of Biological and Health Systems Engineering. She is interested in deep- brain stimulation, as a method of treatment for brain disorders. Deep-brain stimulation is a novel method to treat Parkinson’s disease. Apoorva’s work involves stimulating the brain areas affected by Parkinson’s disease using deep-brain stimulation (DBS) electrodes and recording the electrophysiological signals obtained. Her further goal is to perform a comparison study between neural signals obtained from DBS electrodes; and those obtained from micro-ECOG electrodes of the cerebral cortex.
Laboratory Coordinator, Senior
Bachelor of Science in Biological Sciences – Arizona State University (2013)
Rachele is the Lab Coordinator for the primate neurophysiology laboratories at ASU. In addition to her responsibilities in managing the complex logistics and regulations involved in primate research, she is also interested in non-human primate behavior, and in particular, how training and enrichment can influence performance in cognitive behavioral tasks.
Kevin O’Neill is a scientist and engineer exploring the neural basis for dextrous hand movements. Using peripheral nerve signals and machine learning techniques, he hopes to achieve a high accuracy rating in decoding real-time hand postural changes and individual finger flexions. During the course of these experiments he will also look at eliciting somatosensory percepts through peripheral nerve stimulation.
Subash Padmanaban completed his Bachelor of Technology in Biomedical Engineering from SRM University, Chennai. His work in the Neural Engineering Laboratory involves application of machine learning algorithms for decoding neural signals. For his Master’s thesis, he designed paradigms for decoding dexterous finger movements from human peripheral neural signals. He also investigated various feature selection techniques for decoding dexterous finger movements from the primary motor cortex of non-human primates.