Ayan Prakash

AI Researcher

Houston, Texas, United States10 mos experience
Most Likely To Switch

Key Highlights

  • Expert in Neural Data Analysis and Neuroscience.
  • Hands-on experience with EEG and LFP data.
  • Strong background in Deep Learning applications.
Stackforce AI infers this person is a Neuroscience Researcher specializing in Neural Data Analysis and Neurotechnology.

Contact

Skills

Core Skills

Neural Data AnalysisNeuroscience

Other Skills

MATLABStatisticsDeep LearningEEGControl SystemsReinforcement LearningNon-Linear OptimizationLinear OptimizationWaveletsStatistical Signal ProcessingDigital Signal ProcessingTeachingComputational NeuroscienceSensory NeuroscienceMovement Neuroscience

About

Experienced in working with Neural data, such as EEG, Spikes and LFPs. My interests lie in areas such as Neural Data Analysis, Neural interfaces for rehabilitation, Sensory and Motor Neuroscience, and Brain Plasticity. I am always eager to connect with people who are passionate about neurotechnology and neuroscience research.

Experience

10 mos
Total Experience
5 mos
Average Tenure
5 mos
Current Experience

University of houston

Graduate Research Assistant

Jan 2026Present · 5 mos · Houston, Texas, United States

  • Analyzing non-human primate local field potentials (LFPs) and jaw EMG during reward- and effort-related tasks. Testing whether jaw muscle activity drives changes in LFP band power and functional connectivity.
MATLABStatisticsNeural Data AnalysisNeuroscience

Centre for brain research (cbr) iisc

Research Intern

Dec 2024May 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

  • Worked on assessing the efficacy of 2-D EEG images for distinguishing between subjects diagnosed with Alzheimer's Disease and Fronto-Temporal Dementia. Additionally, class activation maps were utilised to identify the disease relevant regions.
Deep LearningEEGNeural Data AnalysisNeuroscience

Indian institute of technology, kanpur

Research Intern

May 2024Jul 2024 · 2 mos · Kanpur, Uttar Pradesh, India · On-site

  • Worked on decoding Error-Related potentials from EEG signals, particularly involving electrically stimulated upper limb movement. The research work was presented as a poster, at the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, in Orlando.
  • I also had the opportunity to take part in a study involving EEG data recording and Transcranial Magnetic Stimulation (TMS).
EEGMATLABNeural Data AnalysisNeuroscience

Education

University of Houston

Master of Science - MS — Biomedical engineering

Aug 2025Present

National Institute of Technology Calicut

Bachelor of Engineering - BE

Dec 2021May 2025

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