Ijazul Haq
AI Researcher | Software Engineer | Programmer | Entrepreneur
I’m Ijazul Haq from Peshawar, Pakistan; a skilled Software Engineer and Programmer with a PhD in Artificial Intelligence (AI) and Cybersecurity. Currently, I work on cutting-edge AI technologies, including GenAI, LLMs, and Vision-Language Models. With a strong research background, excellent technical skills, and fluency in multiple languages (English, Chinese, Urdu, and Pashto), I excel in solving complex problems and driving innovation.
Guangzhou, China
Peshawar, Pakistan
Education
QS Top 50 | 985 | 211
09/2018 – 12/2023
PhD (Doctor of Philosophy)
Shanghai Jiao Tong University, China
Five years degree in Arfificial Intelligence, Natural Language Processing, and Cybersecurity with a CGPA of 3.78/4.
AI
NLP
Cybersecurity
QS Top 200 | 985 | 211
09/2016 – 06/2018
MS (Masters)
Wuhan University, China
Two years degree in Software Engineering and Blockchain with a CGPA of 3.53/4.
Software Engineering
Blockchain
09/2011 – 06/2015
BS (Bachelors)
University of Malakand, Pakistan
Four years degree in Software Engineering with a CGPA of 3.67/4.
Software Engineering
CS
IT
Awards
09/2018 – 12/2023
Shanghai Municipal Government Scholarship
Awarded a fully-funded scholarship by the Shanghai government during my PhD program, covering my tuition fee, dormitory fee, and a monthly living stipend.
09/2016 – 06/2018
Chinese Government Scholarship (CGS)
Awarded a fully-funded scholarship by the China Scholarship Council during my Master’s program, covering my tuition fee, dormitory fee, and a monthly living stipend.
Experience
QS Top 400 | 985 | 211
01/2024 – Present
Postdoctoral Researcher
South China University of Technology, Guangzhou, China
I conduct research on machine learning, natural language processing, computer vision, Generative AI, and large vision/language models. My work focuses on training, fine-tuning, and evaluating large AI models for various applications, with an emphasis on AI in dentistry and 2D-to-3D image conversion
AI
NLP
VLMs
LLMs
CV
01/2024 – Present
AI Research Engineer
A Company in Guangzhou, China.
I lead a team of AI engineers to implement AI solutions in healthcare, focusing on dentistry. We collect and annotate data, develop benchmark datasets, train, fine-tune, and deploy AI models, and create pipelines for model interaction. We also develop AI assistants and chatbots for oral and dental healthcare.
AI Assistants
Healthcare
AI in Dentistry
Chatbots
VLMs
01/2021 – 02/2022
Visiting Lecturer
University of Malakand, Pakistan
I taught IT subjects to Bachelor’s students, covering topics like Boolean Algebra and data science concepts. Additionally, I supervised lab work and organized exams.
Education
CS
IT
07/2015 – 08/2016
Web Developer
CreativeXLab, Pakistan
Worked as a web developer, building websites and web apps using PHP, MySQL, and JavaScript.
Web Development
PHP
MySQL
HTML
CSS
JavaScript
NodeJS
Skills and Languages
Publications
Featured Projects
01/2024 – Present
NPCBot: AI Assistant for nasopharyngeal Carcinoma (NPC) Management
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
Grounding Large Vision Models for Dental Anomaly Detection
This project aims to leverage VLMs to analyze and segment dental images, to detect dental anomalies and diseases, classify them, and pinpoint their exact locations. By identifying and classifying the anomalies, the model will provide precise coordinates of the regions of interest, enhancing the efficiency of dental diagnostics and treatment.
GPT4
GPT4-V
DALL-E
Stable Diffusion
SAM
VLMs
LLMs
CV
01/2021 – 06/2023
NLPashto: NLP Tookit for Low-resource Pashto Language
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: Low-resource Pashto Offensive Language Detection on Online Social Networks
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
Cybersecurity
Text Classification
Hate Speech Detection
OSNs
Social Media
BERT
Word2Vec
GloVe
fastText
CNNs
LSTM
GRU
Transformers
Contact
| mail@ijaz.me | |
| Address | Guangzhou, China |
