Session: Artificial Intelligence & Data Science for Social Good: Current & Future Applications
The field of “AI for Social Good” is growing fast. AI has the potential to provide a meaningful solution to social problems. This session will focus on the current AI applications in enhancing education, community development, disability assistance, entertainment, healthcare, cultural, social and gender disparity, ethics, and security, etc. Recent achievements of Data Science and AI will be presented in-depth and the next-generation AI solutions for social good solutions will be highlighted.
Bio
Dr.Tanzila Saba earned her PhD in document information security and management from Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia in 2012. She won the best student award in the Faculty of Computing UTM for 2012. Currently, she is serving as Research Professor and Associate Chair of Information Systems Department in the College of Computer and Information Sciences Prince Sultan University Riyadh KSA. Her primary research focus in recent years is medical imaging, pattern recognition, data mining, MRI analysis, and Soft-computing. She has above one hundred publications that have around 4314 citations with h-index 42. Her mostly publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who’s Who (S & T) 2012.” She is the editor and reviewer of reputed journals and on the panel of TPC of international conferences. She is the senior member of IEEE. Dr.Tanzila is the leader of the Artificial Intelligence & Data Analytics Research Lab at PSU and active professional members of ACM, AIS and IAENG organizations. She is the PSU WiDS (Women in Data Science) ambassador at Stanford University since 2018.
