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Girban Adhikari

Computer Engineer


[email protected]
Bhaktapur, NP
CV(as of May 2026)

About

Hi! I’m an AI researcher and engineer with a background in computer engineering and a strong focus on applied machine learning and computer vision.

My work includes research and experimentation with synthetic data generation using GANs, transformers, and diffusion models, as well as real-time violent activity detection using YOLO and ResNet-based architectures. I'm interested in building AI systems that are practical and dependable, with an emphasis on data-driven modeling and applied machine learning, and I’m currently preparing for graduate studies in Computer Science.

Publications

pub1
A Comparative Analysis on Synthetic Data Generation of Electronic Health Records using CTGAN, REaLTabFormer and TabDDPM
Girban Adhikari, Jivan Acharya, Arjan Sapkota, Subarna Ghimire, Umesh Kanta Ghimire
JIEE 2026
TLDR
We present a systematic study on synthetic data generation for machine learning, exploring multiple generative approaches including GANs, transformers, and diffusion models and evaluating their effectiveness for downstream tasks. Our work analyzes data quality, distributional similarity, and model performance when trained on synthetic versus real data, highlighting strengths, limitations, and practical considerations for using synthetic data in real-world ML pipelines.

Software

Project repository of IOE Thapathali Campus

TypeScript
0
0

Portal for election in Nepal with Map view.

TypeScript
0
0

AI Doctor with voice and image recognition.

Python
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0

Automatic number plate recognition system.

Python
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0

Real-time violence detection system.

Python
0
0
adgirban/Ghadi-app
Application

Mobile app to customize and visualize 3D watches.

Unity
0
0

An endless runner game with obstacles.

Unreal Engine
0
0