My objective is to develop Machine Learning Models, Spiking Neural Networks, Ising Machines and Quantum Computers
Email: shv.vafaei@gmail.com
Github: https://github.com/shayanvafaei
Check My CV for More details of my projects :D (top-right of the page!)
Selected Projects
Currently, working on developing Ising Machines using Ising Model and Black-Box Optimization
Quantum Computation
Latent Embedding
Our Research was implementing event-based analysis of large-scale brain dynamics using CEBRA and unveiling neural assemblies and circuit activity. More specifically, we intend to capture neural population dynamics from different data resources by leveraging CEBRA. Supervised by Professor Shervin Safavi at CMC Lab.
Our focus was developing a multi-state machine, designed to classify the dialogue acts of various datasets, namely “DSTC”, “SwDA”, “DyDA” and “MRDA”. The research is being supervised by Professor Garcia.
Dialogue Act Recognition
Generative Agent (LLM Training)
Analyzing the concept of value-alignment on LLMs by creating artificial virtuous agents (AVAs) and by designing a virtual world, with the purpose of analyzing the behavior of a LLM (Mistral 7b), under the supervision of Professor Cranefield and Professor Savarimuthu.
Developing accurate and efficient machine learning models for the purpose of lesion segmentation on medical images (brain fMRI images), using Anatomical Tracing of Lesions After Stroke (ATLAS R2.0) dataset, which can aid in the diagnosis and treatment of various neurological disorders, under the supervision of Professor Wang.
Brain Lesion Segmentation
Stochastic Programming
Using stochastic programming techniques and optimization methods in the process of decision making in commercial projects under the supervision of Professor Dempster.
Thank you for reading :D, and of course
let's put a face to this page :=
