King abdullah university
of Science and Technology

WOMEN

IN DATA SCIENCE & TECHNOLOGY

MARCH 22, 2018

about

“King Abdullah University is excited to partner with Stanford University to bring the Women in Data Science (WiDS) conference to KAUST, Saudi Arabia. The Global Women in Data Science (WiDS) Conference is an annual one-day technical conference based at Stanford, which brings together data scientists and professionals from around the globe to discuss the latest research and applications of data science in a broad set of domains.

WiDS KAUST event will take place this year on the 22nd of March and feature vision talks by distinguished speakers from academia; panel discussions with female data scientists and researchers, and networking opportunities throughout the day. All genders are invited to participate in the conference.”

AGENDA

Thursday 22nd March 2018
08:00 - 08:50
Breakfast
Lecture Hall 1 room 2322 in building 9

Opening and Keynote 1

08:50 – 09:00
Welcoming Remarks
Xiangliang Zhang,Associate Professor, CEMSE, KAUST
Lecture Hall 1 room 2322 in building 9
09:00 – 09:15
Opening Remarks
James Calvin, Vice President for Academic Affairs, KAUST
Lecture Hall 1 room 2322 in building 9
09:15 – 09:45
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster + Q&A
Michele Sebag, CNRS, France
Lecture Hall 1 room 2322 in building 9
09:45 – 10:15
Personalized Health and Wellness + Q&A
Kholoud Khateeb, Effat University
Lecture Hall 1 room 2322 in building 9
10:15 – 10:30
Break
Lecture Hall 1 room 2322 in building 9

Morning session 2

10:30 – 11:00
Drivers of Red Sea Coral Reef Bleaching:
Insights from the Past and Decisions for the Future + Q&A
Nabila Bounceur, Post-Doctoral Fellow, CEMSE, KAUST
Lecture Hall 1 room 2322 in building 9
11:00 – 11:30
CONNECT. LEARN. DISCOVER + Q&A
Basma Alharbi, KAU
Lecture Hall 1 room 2322 in building 9
11:30 – 12:00
How to Transform Large Scale Complex Data to Meaningful Visualization + Q&A
Dina Garatly, Visualization Scientist, KAUST
Lecture Hall 1 room 2322 in building 9
12:00 – 12:30
SEMLOGICAL: Semantic and Topological Approach for Link Prediction + Q&A
Somayah Albaradei, PHD Student, KAUST CEMSE
Lecture Hall 1 room 2322 in building 9

Afternoon session

12:30 – 13:15
Lunch
Library
13:15 – 14:00
Discussion Workgroups
Library
14:00 – 14:30
Sharing Findings
Library
14:30 – 15:00
Break
Library

WiDS Stanford Video Streams

15:00 – 16:00
Videos Streams
Lecture Hall 1 room 2322 in building 9
16:00 – 16:30
Closing Remarks
Meriem T. Laleg, Associate Professor, KAUST CEMSE
Lecture Hall 1 room 2322 in building 9

SPEAKERS

Michele
Sebag

Centre National de la Recherche Scientifique

Kholoud Khateeb

Effat
University,
Saudi Arabia

Nabila Bounceur

KAUST
CEMSE,
Saudi Arabia

Basma
Alharbi

King Abdulaziz University,
Saudi Arabia

Dina
Garatly

KAUST Visualization Core Lab,
Saudi Arabia

Somayah
Albaradei

PHD Student, KAUST CEMSE,
Saudi Arabia

WIDST team

Inji
Jaber

Lead of Planning
& Operations,  
KAUST IT

Xiangliang Zhang

Associate
Professor,
 KAUST CEMSE

Meriem
Laleg

Associate
Professor,
KAUST CEMSE

Bernard Ghanem

Assistant
Professor,
KAUST CEMSE

Robert Hoehndorf

Assistant
Professor,
KAUST CEMSE

Abla Kammoun

Research
Scientist,
 KAUST CEMSE

Francesca Serra

Communication
Coordinator,
KAUST CEMSE

Zuhair Khayyat

KAUST
Alumnus,
Saudi Arabia

Somaya Albaradei

PHD Student , KAUST CEMSE,
Saudi Arabia

Ying Wu

Associate Professor, KAUST CEMSE,
Saudi Arabia

Contact us