Time: Friday 28 Oct 2022, 8:00-9:30
Chair: Minghui Dong
Speakers:
- Prof Ashraf Elnagar, University of Sharjah, United Arab Emirates
- Prof Charibeth K. Cheng, De La Salle University, Philippines
- Prof Yan Li, Shaanxi Normal University, China
- Prof Apurbalal Senapati, Central Institute Of Technology Kokrajhar, India
- Prof Yude Bi, Fudan University
Prof Apurbalal Senapati
Apurbalal Senapati did MSc (Mathematics) from Kalyani University in 2000, MCA from Jadavpur University in 2003, and MTech from Indian Statistical Institute Kolkata in 2006. He started his career in Software Industry from 2006 – 2010. Later on, joined in Indian Statistical Institute as a JRF and was awarded Ph.D. in Computer Science in the year 2017. He qualified NET, SET exams in Computer Science in the year 2012 and 2013 respectively. He received a post-doctoral fellowship from CIMAT, Mexico, for one year in 2018. He has published numerous research papers in various journals, conferences, and book chapters. He has been serving as Assistant Professor at the Central Institute of Technology Kokrajhar, India since 2015. His research interest is now focused on Natural Language Processing, Sentiment Analysis, Hate Speech Detection, Corpus Linguistics, Data Science, and exploring machine learning / deep learning methods for language processing and other areas.
Prof Yan Li
Yan Li is a professor and doctoral supervisor in the School of International Studies in Shaanxi Normal University. She got her PhD from Nanjing Normal University and post-doc from Shaanxi Normal University. Her research interests are Historical Comparative Linguistics and Dialects. She ever studied in Linguistic Department, UC, Berkeley and the Centre de recherches linguistiques sur l’Asie orientale as a visiting scholar and has published more than 30 papers and books which are about the research of superfamily around the world and also different dialects in the South of Shaanxi Province in China. Her two books Macrofamily: the New Theory of Historical Comparative Linguistics (2012) and Historical Linguistic Theories (2020) got awards at different levels and some of her papers were reprinted in full, such as On the Quantitative Method of Language Elements in Language Evolution Research published in the journal Foreign Language Teaching and Research in 2019 was reprinted by China Social Science Excellence as the first paper. Part of the paper Sino-Tibeto-Caucasius: Starostin’s Evidence published in Journal of Shaanxi Normal University in 2011 was reprinted in China University Academic Abstracts. Her research was supported by National Social Science Fund, Foundation of Ministry of Education, China Postdoctoral Social Science Foundation, and Shaanxi Provincial Social Science Foundation, etc.
Prof Ashraf Elnagar
Ashraf Elnagar is a Professor of Artificial Intelligence at the Department of Computer Science, University of Sharjah, UAE. He received his BSc and MSc in Computer Science from the University of Kuwait, Kuwait, and his and PhD (1993) from the University of Alberta, Canada. During his service at the University of Sharjah, he served as the founding chair of the Dept. of Computer Science, Chair of the MIS Department, Vice-Dean of the College of Computing and Informatics, and Dean of the Community College. In 2017, he has founded the Machine Learning and Arabic Language Processing Research Group.
Prof. Elnagar has published extensively in international journals and conference proceedings. He has given several invited talks and tutorials. His research interests are in natural language processing, machine and deep learning, robotics, pattern analysis and recognition. Prof. Elnagar has served as a program committee member for numerous international conferences and workshops. He is an editor of the International Journal on Data Mining and Intelligent Information Technology Applications. He has won several recognition awards in teaching, service, and research such as the prestigious Shoman’s Best Young Researcher Award in the fields of Mathematics, Computer Science and Statistics in the Arab World.
Prof Charibeth Cheng
Charibeth Cheng is an Associate Professor and the Associate Dean of the College of Computer Studies, De La Salle University. She is also one of the senior researchers at the University’s Center for Language Technologies. Beyond DLSU, she is the co-founder and the head of research of Senti AI, an AI solutions provider in the Philippines. Chari’s research focuses on Philippine languages. She and her students continuously build and maintain language tools and NLP solutions for Filipino. In particular, she focuses on the continuous development of Filipino language resources, such as language models, POS taggers, grammar checkers, and morphological analyzers; as well as applications for Filipino text classification, text generation, and translation. Due to the low-resourced nature of Philippine languages, Chari also studies on ways to augment the little data available for their
languages.
Prof Yude Bi
