Women in Data Science (WiDS) elevates women in the field by providing inspiration,
education, community, and support. WiDS started as a one-day technical conference
at Stanford in November 2015. Seven years later, WiDS is a global movement that includes
a number of worldwide initiatives.
Golnaz Habibi is an assistant professor in the School of Computer Science at the University
of Oklahoma. Previously, she was a research scientist with the Department of Aeronautics
and Astronautics at MIT and she was a member of the Laboratory for Information and
Decision Systems (LIDS). Golnaz holds MS and BS degrees in electrical and control
engineering and she received her PhD in computer science from Rice University.Golnaz is broadly interested in robotics, control systems, machine learning, and multi-agent
systems. Her current research focuses on visual navigation, autonomous driving and
computer vision, reliable communication, and safe and reliable autonomous agents.
Her paper has been nominated for best student paper award in DARS 2012 and she received
the K2I Fellowship award from Chevron Company in 2013. Golnaz has served on the program
committee of AAAI and the reviewer of several journals and conferences such as RSS,
ICRA, IROS, RA-L, and Journal of Aerospace.
Kim Ung, Head of the Data Analytics, Viettel Group, Vietnam
Kim Ung is the Head of Data Analytics at Viettel Group, one of the largest telecommunications
companies in Vietnam. In addition to her work at Viettel, Kim is also the ambassador
for WiDS Hanoi 2023, an initiative that aims to inspire and support women in the field
of data science.As a WiDS ambassador, Kim is committed to promoting diversity and inclusivity in the
field of data science. She is passionate about empowering women to pursue careers
in this field and providing them with the tools and resources they need to succeed.
Through her work with WiDS, Kim is helping to create a more equitable and diverse
data science community in Hanoi and beyond.
Dr. Rittika Shamsuddin aims to improve communication between researchers in fields
of computer science, biology, and medicine via knowledge-sharing and by developing
algorithms and experiments, which will increase the interpretability and generalizing
ability of various machine learning and artificial intelligence models. Such libraries
and developments are necessary for extending the technological success of computational
fields to solve problems in healthcare/biology with a higher degree of trustworthiness
and reliability than exists at present. She has multiple internal grants, published
papers and is active in service.Dr. Shamsuddin is also very passionate about computer science and programming and
has been an active advocate for CS, especially among women, since her Ph.D. years.
She believes that programming is a way of thinking and can be taught and learned through
the use of the newer technology-based curriculum.She obtained her Ph.D. from the University of Texas at Dallas on Analyzing and Synthesizing Healthcare Time Series Data for Decision-Support, where she worked in the Multimedia Systems Laboratory led by Prof. Balakrishnan. Before that, she graduated from Mount Holyoke College, with a double major in Biology and Computer Science, where her honor thesis included
working on Using Rigidity Analysis To Identify Hinge Motion in Proteins under the supervision of Professor Audrey St. John.
