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I am a Ph.D. graduate specializing in machine learning and computer vision with a focus on enhancing human-computer interaction. I have over four years of research experience in this field and am adept at leveraging advanced data-driven methods and analytics to provide valuable insights. My expertise lies in statistical analysis, supervised and unsupervised machine learning (ML), deep learning (DL) algorithms, and signal processing. I have successfully conducted classification and regression analysis on various data modalities.

My research is also focused on self-supervised learning to obtain effective representations of high-dimensional data and combining multiple data modalities to achieve superior performance. I have authored more than 14 publications and my work has been cited over 1000 times. I am committed to applying my knowledge and experience to drive innovation and advance the field of human-computer interaction through machine learning and computer vision technologies.

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asheeshcric

asheeshcric

jashish ashiz2013 asheeshcric asheeshcric

Ashish Jaiswal's Projects

cricify icon cricify

An attempt to automate my Mac and Linux setup installation a breeze on any new machine.

currencypredictor icon currencypredictor

Predicting changes in currencies that can take place in the near future; using timeseries

fmri-tbi icon fmri-tbi

Assessing cognitive fatigue in patients with TBI (Traumatic Brain Injury) from fMRI scans.

fuse-ai icon fuse-ai

Contains coursework from FuseMachines AI Scholar Program

krishisathi icon krishisathi

A web portal for farmers integrated with ML and IoT to analyze crops and their daily growth.

leetcode icon leetcode

Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub).

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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