Worked with state of art Neuroimaging, EEG and brain stimulation techniques during PhD and Post Doctorate
Passionate about using ML and AI to solve business and scientific problems, did capstone projects on chatbots, sentiment analysis etc during Data Science and AI certification. Https://github.com/hemanawani/Assignments
Now pursuing Generative AI with OpenAI, LangChain, and LlamaIndex V2 course
Published numerous research articles in highly reputed scientific journals including first authorship in advanced meta- analysis , EEG, neuroimaging and ML : semi supervised SVM (https://doi.org/10.1001/jamapsychiatry.2022.0020 K means algorithm https://www.biologicalpsychiatryjournal.com/article/S0006-3223(18)31021-7/fulltext) meta-analysis (https://doi.org/10.1016/j.neuroimage.2023.120051) , full list of publications https://scholar.google.com/citations?hl=en&user=t8GuTYgAAAA
Projects 1. Modulation of mind wandering using tDCS, A meta-analysis based on electric field mapping. 2. EEG microstates during normal sleep and sleep deprivation 3.EEG microstates during reinforcement learning
Mentor: Prof. Gabor Csifcsak and Prof Matthias Mittner
Project: Neuroanatomical subtypes of Late life depression using semi supervised machine learning algorithm
Mentor: Prof Christos Davazikos
Projects: Correlation between resting state fMRI derived graph network measures and health related quality of life in children with epilepsy Similarity Network Fusion algorithm to cluster youth based on multimodal neuroimaging data
Mentor: Dr Anne Wheeler
ERP correlates of cognitive and emotional decision making
Mentor - Prof. Keshav Kumar
Effect of different filter settings on emotionality coefficients.
Mentor - Prof. Stefan Koelsch
Python (basic)
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