简介
Dr. Preslav Nakov is Professor and Department Chair at the Natural Language Processing department of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
His research interests include computational linguistics and natural language processing, large language models, hallucinations, fact-checking, disinformation, propaganda, fake news, media bias, and machine-generated text detection. He is part of the core team that developed Jais, the world’s best open-source Arabic-centric LLM, as well as part of the LLM360 team at MBZUAI.
Preslav Nakov received a PhD degree in Computer Science from the University of California at Berkeley (in 2007, supported by a Fulbright scholarship and a UC Berkeley graduate fellowship), and a diploma (BSc+MSc) from the Sofia University. He was a Principal Scientist at the Qatar Computing Research Institute, HBKU (Principal Scientist 2019-2022, Senior Scientist 2013-2018, Scientist 2011-2013), Research Fellow at the National University of Singapore (2008-2011), honorary lecturer in the Sofia University (2008, 2014-present), and researcher at the Bulgarian Academy of Sciences (2008).
Preslav Nakov authored a Morgan & Claypool book on Semantic Relations between Nominals (2nd edition in 2021) and two books on computer algorithms. He published 300+ research papers in top-tier conferences and journals. He received a best paper award at ACM WebSci 2022 for work on propaganda and coordinated community detection, a best paper award at CIKM 2020 for work on fake news detection in social media, a best resource paper at EACL 2024 for work on detecting machine-generated content, a best demo paper award (honorable mention) at ACL 2020 and a best task paper award (honorable mention) at SemEval 2020, both for work on detecting propaganda techniques in text, as well as a Young Researcher Award at RANLP’2011. He was also the first to receive the Bulgarian President's John Atanasoff award, named after the inventor of the first automatic electronic digital computer.
Preslav Nakov is Chair-Elect of the European Chapter of the Association for Computational Linguistics (EACL). He is also Secretary of SIGSLAV, the ACL SIG on Slavic Natural Language Processing, and previously he was President of ACL SIGLEX, the Special Interest Group (SIG) on the Lexicon of ACL. He is also a Secretary of the Truth and Trust Online board of trustees. He is an Action Editor for the Computational Linguistics (CL) journal and for the Transactions of the Association for Computational Linguistics (TACL) journal, an Associate Editor for ACM Transactions on Information Systems (TOIS) journal, for the IEEE Transactions on Audio, Speech and Language Processing (TASLP) journal, for the IEEE Transaction on Affective Computing journal (TAFFC), for the Frontiers in Artificial Intelligence journal (sections: 1. Language and Computation; 2. Natural Language Processing), and for the AI Communications (AIC) journal, a Member of the Editorial Board of Computer Speech and Language (CSL) and of the Journal of Natural Language Engineering (NLE), and an Editorial Board member of the Language Science Press Book Series on Phraseology and Multiword Expressions.
Preslav Nakov served on the program committees of the major conferences in Computational Linguistics and Artificial Intelligence. He was a program committee (PC) chair of ACL-2022 and of TTO-2020. He is/was also a senior area chair for ACL-2024, EMNLP-2023, IJCNLP-AACL-2023, COLING-2022, AACL-IJCNLP-2022, NAACL-2021, and ACL-2020, and an area chair for AAAI-2023, EACL-2023, AAAI-2022, CoNLL-2022, ACL-2021, EMNLP-2021, AAAI-2021, ACL-2019, EMNLP-2019, NAACL-2019, NAACL-2018, ACL-2017, EMNLP-2016, and *SEM-2013. He was further workshops chair of WWW’2022 and COLING-2020, a tutorial chair of ACL-2019, a shared task chair of IJCNLP-2017, and workshops chair of SemEval 2014-2016.
His research was featured in 100+ news outlets, including MIT Technology Review, CACM Research Highlights, Forbes, Reuters, CNN, Boston Globe, Science Daily, Popular Science, Fast Company, The Register, WIRED, Engadget, etc.
