Skip to main content
Apply

Arts and Sciences

Open Main MenuClose Main Menu

Women in Data Science - Flagship Intro Video

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.

 

Data Science Lecture Series


Dr. Golnaz Habibi, University of Oklahoma

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, Oklahoma State University

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. 
MENUCLOSE