Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Audio Classification using CNN and Vision Transformer
The research demonstrates that a Vision Transformer adapted for audio data outperforms both a custom CNN and traditional machine learning models in classifying music genres using mel spectrograms from the GTZAN dataset.
MoodMeter.AI
Developed MoodMeter.AI, an advanced tool for remote work communication, employing real-time emotion detection through facial expression and voice analysis to enhance understanding in online meetings
SSORT: Semantic Segmentation for Off-Road Traversibility
Real-time semantic scene understanding is essential for autonomous vehicles, especially in off-road driving where it deals with uncertainties like uneven terrain and hidden obstacles, and this project aims to enhance off-road semantic segmentation to improve route visualization and navigation.
Python Package: General-distribution
This package provides the probability distribution classes.
publications
A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals
Published in Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2022
This study classifies bearing defects using a Vision Transformer (ViT) on Case Western Reserve University data, converting vibration signals into 2D time-frequency images for input, achieving 98.8% accuracy.
Download here
Smart manufacturing with transfer learning under limited data: Towards Data-Driven Intelligences
Published in Journal Materials Today Communications (Impact Factor: 3.8), 2023
This study develops a new transfer learning-based Deep Neural Network model to predict the material removal rate in electrical discharge machining (EDM), overcoming the limitation of traditional machine learning methods that require large datasets.
Download here
Zea Mays Leaf Disease Classification using Swin Transformer
Published in INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE APPLICATIONS (SIGMAA 2023), 2023
This study employs the Swin Transformer for accurate classification of corn leaf diseases, achieving a high accuracy of 95.9%, surpassing traditional methods.
EAViT: External Attention Vision Transformer for Audio Classification
Published in Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2024
This paper presents the External Attention Vision Transformer (EAViT) model, a novel approach designed to enhance audio classification accuracy.
Download here
TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting
Published in Submitted to AAAI 2025, 2024
This study proposes the Temporal Convolutional Network Former (TCNFormer) for short-term (12-hour) wind speed forecasting.
Download here
EfficientCrackNet: A Lightweight Model for Crack Segmentation
Published in Submitted to WACV 2025, 2024
We propose EfficientCrackNet, a lightweight hybrid model combining Convolutional Neural Networks (CNNs) and transformers for precise crack segmentation.
Download here
talks
Introduction to Computer Vision
Published:
Paper Presentation
Published:
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.