Biography: Javad Rafiei Asl received his B.S. in computer science from the University of Tabriz in 2011 and his M.S. in information technology from the University of Tehran in 2014. He then worked as a research assistant at the Research Institute for Information and Communication Technology in Tehran, developing an automated plagiarism detection system. After gaining practical experience in data mining and machine learning, he joined Georgia State University in 2019, where he completed his Ph.D. in computer science, specializing in Machine Learning (ML) and Natural Language Processing (NLP). Upon graduating, Javad became a researcher member of the Information Security and Privacy: Interdisciplinary Research and Education (INSPIRE) Center, focusing on secure artificial intelligence for various NLP tasks.
Research focus areas: Trustworthy Artificial Intelligence, Natural Language Processing (NLP), Large Language Models (LLMs)
Background: He is a graduated Ph.D. candidate specializing in Natural Language Processing (NLP), Trustworthy Artificial Intelligence (AI), and Machine Learning (ML), with a strong background in various programming languages. Highly motivated, he has contributed to several research projects and publications over the years, showcasing his expertise and dedication to the field. With 8 years of expertise in NLP models and tasks, over 4 years of experience in secure AI, and robust pretrained language models (PLMs), he is a Robust Machine Learning Researcher proficient in programming languages and algorithm design, with over 10 years of experience. He is currently conducting research aimed at enhancing the robustness and efficiency of Large Language Models (LLMs) for adversarial NLP applications and is eager to contribute to the further development of robust and efficient pretrained language models (LLMs) for real-world applications
Education:
Ph.D., Computer Science, Georgia State University, 2024
Masters in Information Technology, University of Tehran, 2014
Bachelors in Computer Science, University of Tabriz, 2011

COVA CCI is supported by the Commonwealth Cyber Initiative and funded through the Commonwealth of Virginia.
Contact: covacci@odu.edu
