Mr. Omid Hajipoor | Text Generation | Best Researcher Award

Omid Hajipoor is a researcher in artificial intelligence with a strong focus on natural language processing, generative adversarial networks, and large language models. He is currently pursuing his PhD in Computer Engineering at Amirkabir University of Technology, Tehran, building on earlier academic training with a master’s in artificial intelligence and robotics from Malekashtar University and a bachelor’s in software engineering from Birjand University. His professional experience spans roles such as technical product manager, project manager, NLP team leader, and engineer, where he has contributed to the design and development of advanced NLP solutions, chatbots, social media text generation systems, error detection models, and sentiment lexicons. His research interests lie in text generation, adversarial learning, transformers, diffusion models, and applied AI systems for social media and multilingual contexts. He has been involved in impactful projects including railway optimization software, abusive language detection, and generative Persian text applications, and he has published in respected venues such as Neurocomputing and Scopus-indexed journals. In addition to his academic and industrial contributions, he has served as a teaching assistant and lecturer for undergraduate and postgraduate students, and he has mentored teams in innovation events that won recognition. His research skills include programming in Python, MATLAB, and C++, expertise in PyTorch, TensorFlow, and other machine learning frameworks, and strong experience in project management tools like Git and Docker. He has demonstrated leadership, creativity, and technical proficiency throughout his career. His research record shows citations by 2 documents from 1 publication with an h-index of 1.