Gagan Acharya

Country: NA

Education: Unknown

Affiliation: University of California, Riverside

Domain of Research: Machine Vision,Artificial Intelligence,Agents and Multi-agent Systems,Artificial Consciousness and Artificial Brain,Artificial Intelligence,Artificial Neural Networks,Computer Vision,Machine Learning,Natural Language Processing,Neural Networks,Supervised and Unsupervised Learning,Support Vector Machines

Biography: I am a PhD candidate at the University of California, Riverside, where I work on ML-driven modeling and control of neurostimulation for epilepsy treatment. My research focuses on seizure forecasting, predictive dynamical models of intracranial EEG, and applied machine learning for biomedical systems. I have collaborated with Penn Medicine and worked in Intel Labs on large-scale ML pipelines, neural dynamics modeling, and reinforcement learning for robotics. I have experience reviewing manuscripts in machine learning, signal processing, and computational neuroscience. My expertise includes deep learning, probabilistic modeling, time-series analysis, and algorithmic optimization.