junayed Goto Github PK

followers: 10.0 following: 24.0 repos: 171.0 gists: 0.0

Name: Md Junayed Hasan

Type: User

Company: National Subsea Centre

Bio: 🧠 Expert in AI, ML/DL, Computer Vision, Data Modelling | ⚡ Committed to Reliability, Safety, and Sustainable Energy

Twitter: drjunayedhasan

Location: Aberdeen

Hi 👏, I am Junayed, a Senior Data Scientist & AI Research Engineer

Born and raised in Bangladesh, where I began my engineering career, I later pursued a PhD and started my Data Science/AI Engineering career in South Korea. I now reside in Scotland as a Global Talent of the UK.

🔭 I am currently working on Advance Subsea Inspection leveraging Sonar Tech. with AI
🌱 I am currently learning Chartered Project Management training from CMI and pursuing PMP certification.
👯 I am looking to collaborate on multimodal sensing and explainable AI related R&D.
👾 Sensor technologies I have worked with : Acoustic sensors (NI, PAC), Thermal Imaging Cameras/IR (FLIR, Sony), Depth Cameras (Intel Realsense), Sonar Devices (Ping360, Imagenex 837 Series), EEG Sensors.
📄 Check my research impact at Google Scholar
💬 Ask me about : Statistics, Machine Learning, Deep Learning, Explainable AI, Causality, Correlation, and Product Design.
🌍 Care about : United Nations Sustainable Development Goals (UNSDGs) 9, 11, and 14.
📫 Email me : [email protected]
⚡ Fun fact : I 💙 TikTok 😎. Oh, I am a Libra 😉

💻 Language, Technologies, and Data Science/AI

🍎 Product Design and Project Management

Huh 👯‍♂️ ?

Md Junayed Hasan's Projects

marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

mask-r-cnn-whats-my-melon

An Exploration into Convolutional Neural Networks and MASK R CNN

Mean shift is a non-parametric feature-space analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing

minibook-2nd-code

Code of the IPython Minibook, 2nd edition (2015)

mne-cookbook

使用MNE-python过程中的小技巧,即如何处理MEG/EEG信号数据.

multi_task_plant_phenotyping

The code for the Doing More With Less: A Multi-Task Deep Learning Approach in Plant Phenotyping paper, Frontiers in Plant Science

multiclass-and-multilabel-classification

multilabel-multiclass-classifcation

The project aims to build Multilabel-Multiclass text classifier using Keras framework.

ntds_2017

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

numpycnn

Convolutional neural network implementation using NumPy

one-shot-learning-with-siamese-networks

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

particle-filter-based-prognostics-algorithm

Python implementation of the paper titled - "Prognostics 101: A tutorial for particle filter-based prognostics algorithm using Matlab"

phm-ieee-2012-data-challenge-dataset

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

physics-based-nn-for-1st-ode

pix2pix-floorplans-dataset

🏠 Generate floor plans using pix2pix and Tensorflow

pixel2svg

Pixel Image to SVG

pot

POT : Python Optimal Transport

predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

predictive-maintenance

time-series prediction for predictive maintenance

predictive-maintenance-1

🖥 Approaching predictive maintenance and engine failure detection, based on open datasets.

principles-of-data-science-second-edition

Principles of Data Science, Second Edition, published by Packt

probability_and_ot

This repository is for my personal notes on Probability and Optimal Transport. It is a "pot-pourri"of topics relating both of these fields.