AI Researcher | Software Engineer | Programmer | Entrepreneur
Greetings! I’m Ijazul Haq, a PhD holder in Artificial Intelligence and Cybersecurity. Currently, I serve as a Postdoctoral Researcher at South China University of Technology, delving into the realms of AI with a particular focus on NLP. Fluent in an array of languages including English, Chinese, Urdu, and Pashto. I’m open to exciting opportunities in my field and am keen on fostering research collaborations.
Guangzhou, China
09/2018 – 12/2023
Ranked #51 in the world, according to QS Ranking (2024)
AI
NLP
Cyberspace Security
09/2016 – 06/2018
Ranked #194 in the world, according to QS Ranking (2024)
Software Engineering
Blockchain
01/2024 – Present
AI Assistants
Healthcare
AIOps
Chatbots
LVMs
07/2015 – 08/2016
Web Development
PHP
MySQL
HTML
CSS
JavaScript
NodeJS
01/2024 – Present
NPCBot is a groundbreaking AI assistant that we are currently working on at South China University of Technology. Designed to transform the treatment landscape for Nasopharyngeal Carcinoma (NPC), NPCBot leverages advanced artificial intelligence to provide personalized treatment recommendations, enhance diagnostic precision, and streamline the decision-making process for oncologists. By analyzing a wide range of data, including patient medical histories, imaging scans, clinical tests, and genetic information, NPCBot aims to identify the most effective treatment options, thereby improving patient outcomes and facilitating a new era of precision medicine in oncology.
GPT4
LLMs
NLP
Chatbot
AI Assistant
Healthcare
Cancer
Drugs Prescription
Sentiment Analysis
01/2024 – Present
This project is aimed at revolutionizing the identification of dental anomalies through the integration of state-of-the-art large vision models. This initiative focuses on leveraging the power of advanced AI and generative models to analyze dental images, accurately detect faults, and even predict the corrected version of these images post-treatment. Our project seeks to enhance the precision and effectiveness of dental diagnostics, offering a glimpse into the future of dental care.
GPT4
GPT4-V
DALL-E
Stable Diffusion
SAM
LVMs
LLMs
CV
01/2021 – 06/2023
This project is aimed at revolutionizing the identification of dental anomalies through the integration of state-of-the-art large vision models. This initiative focuses on leveraging the power of advanced AI and generative models to analyze dental images, accurately detect faults, and even predict the corrected version of these images post-treatment. Our project seeks to enhance the precision and effectiveness of dental diagnostics, offering a glimpse into the future of dental care.
Python
PyTorch
Transformers
BERT
CNNs
RNNs
Word Embeddings
Sentiment Analysis
POS Tagging
Text Chunking
01/2021 – 06/2023
POLD is a pioneering project utilizing transformer-based text classifiers to sift through social media content, distinguishing between offensive and non-offensive posts in low-resource Pashto language. Developed with a custom-trained monolingual Pashto BERT model, POLD analyzes tweets, categorizing them into toxic and non-toxic classifications. Beyond offensive language detection, it gauges user sentiment towards posts, marking a significant advancement in NLP and cyberspace security.
Sentiment Analysis
Cyberspace Security
Text Classification
Hate Speech Detection
OSNs
Social Media
BERT
Word2Vec
GloVe
fastText
CNNs
LSTM
GRU
Transformers
mail@ijaz.me | |
Address | Guangzhou, China |