Assoc. Prof. Samir Rustamov
ADA University, Azerbaijan

I got my Ph.D. degree in Computer Science from Institute of Cybernetics and I was post-doctoral researcher at Georgia Institute of Technology, USA. I am an Associate Professor in School of IT and Engineering, ADA University. My interests are natural language processing and machine learning. I am particularly interested in how to use language understanding to generalize and learn more efficiently. I am also head of AI laboratory at MegaSec Company. I have worked on a range of applications including Speech Recogition, Speech Synthesis, Dialogue System, Deep Learning, Sentiment Analysis and developed AI -based products for different companies. I help organisations to build AI and machine learning into their products and services, with a particular focus on voice and language technology.

Speech Title: "From Lab to Reality: Building Practical Speech Recognition Systems"

 

 

Prof. Xiwen Zhang
Beijing Language and Culture University, China

Xiwen Zhang is currently a Professor of Digital Media Department, School of Information Science in the Beijing Language and Culture University. He worked as an associated professor from 2002 to 2007 at the Human-computer interaction Laboratory, Institute of Software, Chinese Academy of Sciences. From 2005 to 2006 he was a Post doctor advised by Prof. Michael R. Lyu in the Department of Computer Science and Engineering, the Chinese University of Hong Kong. From February to April in 2001 he was a Research Assistant by Dr. KeZhang Chen in the Department of Mechanical Engineering, the University of Hong Kong. From 2000 to 2002 he was a Post doctor advised by Prof. ShiJie Cai in the Computer Science and Technology department, Nanjing University. Prof. Zhang's research interests include pattern recognition, computer vision, and human-computer interaction, as well as their applications in digital image, digital video, and digital ink. Prof. Zhang has published over 60 refereed journal and conference paper.

Dr. Dmitry Ustalov
Research at Toloka AI, Russia

Dr. Dmitry Ustalov is the Head of Research at Toloka, a global data labeling platform. He is responsible for enabling the state-of-the-art methods for quality control in Toloka and spreading the innovations made by the Toloka Research team. His research interests focus on Crowdsourcing and Natural Language Processing; his research is published in the leading scientific venues, such as NeurIPS, COLI, ACL, EACL, and EMNLP. Dmitry has been co-organizing Crowd Science Workshop at NeurIPS and VLDB since 2020, and TextGraphs workshop at ACL since 2018. He co-authored and presented crowdsourcing tutorials at NAACL-HLT '21, WWW '21, SIGMOD/PODS '20, and WSDM '20.