معرفی
Dr. Scott Piao is a Senior Lecturer (Associate Professor) in Computer Science at the School of Computing and Communications, Lancaster University. He holds a PhD from Lancaster University and a Postgraduate Certificate in Academic Practice. With extensive experience in academia, he has previously worked at Sheffield University (2000-2002) and Manchester University (2006-2009) as a Research Associate in Natural Language Processing.
His educational background includes:
- PhD in Computer Science from Lancaster University
- PGCert (Postgraduate Certificate Academic Practice)
Dr. Piao's research focuses on Natural Language Processing, Text Mining, Social Computing, and Data Science. He develops algorithms and tools for automatically analyzing information hidden in language data and applying these techniques in various information systems. His current research emphasizes Large Language Models (LLMs) and generative AI models for automatic analysis of semantic information in language data. Over his career, he has worked on seven major projects funded by EPSRC, ESRC, AHRC, and EU, demonstrating his expertise and recognition in the field.
Dr. Piao has served as an Area Chair for the LREC-COLING 2024 Conference and is currently an Area Chair for the COLING 2025 Conference. His extensive service includes participation on program committees for forty-seven leading international conferences covering Natural Language Processing, Social Computing, Big Data, and Corpus Linguistics.
His advising includes several PhD students working in Data Science:
- Mansour Almansour (SCC - Data Science, UCREL)
- Israa Alsiyat (SCC - Data Science)
- Ratchakrit Arreerard (SCC - Data Science)
Dr. Piao is actively involved in several research groups, including the Data Science Institute - Foundations, SCC (Data Science), and UCREL (University Centre for Computer Corpus Research on Language). He also serves as Director of the BJTU Scheme and Director of the Computer Science Programme at Lancaster University College at Beijing Jiaotong University.
