Information Technology, Machine Learning, Deep Learning

Hung Nguyen Gia +84-829******

Candidate for BSc. in Information Technology # ***********@*****.*** VNU-HCM University of Science, Vietnam § hung8110999 Education

• Candidate for BSc. in Information Technology 2021 - 2025 VNU-HCM University of Science, Vietnam Current GPA: 7.22 / 10.0 Technical Projects

• MNIST Handwritten Digit Classification

Softmax regression model to perform digit classification on MNIST dataset

– Used pure math and NumPy to construct and train an image classification model using softmax regression.

– Gained basic knowledge in simple single-layer neural network with softmax activation function, and in gradient descent technique for minimizing cross-entropy error.

– Technology Used: Python, NumPy.

• Image Generating Model with PyTorch

Generative Adversarial Network to generate synthetic images

– Developed and trained a Generative Adversarial Network (GAN) model to generate high-quality synthetic images.

– Designed and implemented the architecture of DCGAN with generator and discriminator as CNN networks, improving training stability and image realism.

– Optimized model performance using advanced loss functions, and explored methods for unlearning feature.

– Technology Used: Python, PyTorch, DCGAN, EWC

• Sentiment Analysis

Deep learning model to classify sentiments in text data

– Developed a hybrid model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory

(LSTM) networks for sentiment classification.

– Used CNN layers to extract local features from text sequences and LSTM layers to capture long-term dependencies and context.

– Technology Used: Python, TensorFlow/Keras, CNN, LSTM, Word Embeddings. Research Experience

Research seniority : Approxiamtely 1 year

• Machine Unlearning July 2024 - Current

Graduate Thesis Project

– Studied forgetting theory of neural network and recreate feature technique for multi-purpose.

– Gained experience in working with the forgetting flow of a model and adaptation method.

• Medical Application June 2024 - Current

Side research

– Drug-Protein Interaction Problems, Cancer Classification Problems

– Developed and tested models for predicting drug-protein and drug-target interactions using machine learning and deep learning methods.

– Research computer vision approaches to study cancer classification task for as much position on body as possible.

• Explainable AI (XAI) theory May 2024

XAI research in BSMS class

– Hands-on experience in reading and referencing academic papers.

– Presented highly result at class, rated by Dr. from VNU-HCMUS . Skills and Interests

Languages: Vietnamese (native), English (proficient). Programming and Other Languages: Python, C++, LATEX. Libraries: NumPy, Matplotlib, OpenCV, TensorFlow, PyTorch. Development Tools: Visual Studio Code, Git, GitHub, Firebase Realtime Database and Node-RED (for Internet of Things development).

Past Coursework: Data Structures & Algorithms, Operating System, Object Oriented Programming, Fundamentals of Artificial Intelligence, General Math Knowledge, Machine Learning, Deep Learning Ongoing Coursework: Parallel programming, Detection Areas of Interest: Machine Learning, Deep Learning, Medical Application of AI, Image processing.

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