// Computer Science Student

Tomer
Atia

Building intelligent systems at the intersection of
|

Deep Learning Computer Vision Gen AI NLP

// About

Background

I'm a Computer Science student at the Holon Institute of Technology (HIT), holding a GPA of 95, with a strong focus on deep learning - particularly in computer vision, NLP, and generative AI.

My research focuses on building end-to-end systems that apply deep learning to safety-critical real-world problems, with a particular emphasis on maritime applications - from synthetic data generation pipelines to ASR-robust NLP classification systems.

My work involves leveraging generative models for data augmentation and developing robust architectures that operate under real-world constraints, spanning domains from maritime safety to medical image segmentation.

0GPA

0Projects

0AI Fields

Languages

Python SQL

Fields

Deep Learning Computer Vision Gen AI NLP

Tools

PyTorch Hugging Face Git

// Research & Projects

Selected Work

Computer Vision · Diffusion Models

StormVision

Small-object detection for maritime search-and-rescue in stormy sea conditions using diffusion-based synthetic data augmentation.

NLP · Large Language Models

SeaAlert

Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications.

Published in IEEE Access

Medical Imaging · Segmentation

CornealSeg

Semantic segmentation of corneal ulcers using ResNet34-UNet and anatomical ROI masking.

// Publications

Published Research

IEEE Access

SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy Maritime Distress Communications

T. Atia, Y. Aperstein, and A. Apartsin

Read Paper Project Page

// Contact

Get In Touch

I'm currently open to research collaborations and interesting opportunities. Feel free to reach out -whether it's a project idea, a question, or just to say hello.

tomeratia44@gmail.com linkedin.com/in/tomer-atia github.com/Tomeratia

TomerAtia