Science Hub Showcase 2022
The Science Hub advisory group selected six research projects for funding in 2022. The investigators are professors in the Samueli School of Engineering and the David Geffen School of Medicine. In the morning, the investigators will present results from their projects, and in the afternoon, people from Amazon and UCLA will lead discussion groups on key topics of shared interest.
The Science Hub Showcase 2022 takes place Sep 30, 2022. Enjoy research presentations and choose a break out session to attend.
THIS EVENT HAS ENDED.
Attention Graduate Students
In addition to registering with UCLA for the main event by clicking on the link above, please register here with Amazon directly for the Info Session at 2:30 p.m.
THIS EVENT HAS ENDED.
Science Hub Showcase 2022 photo gallery
To view images from the Science Hub Showcase 2022, click on photo below.
Sep 30, 2022 | Mong Auditorium, Engineering VI
9 – 10 a.m.
10 – 10:10 a.m.
Welcome and Introductions
Professor of Computer Science, UCLA Samueli School of Engineering
Science Hub Director
VP of Applied Science, Amazon Web Services AI
Professor of Computer Science, UCLA Samueli
10:10 – 11:50 a.m.
Session Chair: Guy Van den Broeck
Associate Profesor of Computer Science,
UCLA Samueli School of Engineering
Investigator: Wei Wang, Leonard Kleinrock Chair Professor in Computer Science, Director of Scalable Analytics Institute, Department of Computer Science, Department of Computational Medicine UCLA
Research Project: Knowledge Graph Representation Learning and Applications in Biomedicine
Investigator: Ertugrul Taciroglu, Professor & Chair, Civil and Environmental Engineering, UCLA
Research project: Mapping Wildfire Fuels using Deep Learning for High-fidelity Fire Spread Simulation
Investigator: Loes Olde Loohuis, Assistant Professor of Psychiatry & Biobehavioral Sciences and Human Genetics, David Geffen School of Medicine at UCLA
Research project: Prediction of Perinatal Depression Using EHR-derived Phenotypes and Genetic Risk Scores
Investigator: Eleazar Eskin, Professor and Chair, Computational Medicine, Professor, Computer Science, Professor, Human Genetics, UCLA
Research project: Scalable Sequencing Approaches for Detection of Novel Pathogens and Evolving Viral Variants
Investigator: Baharan Mirzasoleiman, Assistant professor, Computer Science, UCLA
Research project: Coresets for Efficient and Robust Machine Learning
11:50 a.m. – 1:15 p.m.
Lunch and Posters
1:15 a.m. – 2:30 p.m.
The discussion groups are open to anyone; the idea is to have discussion about the status and research challenges in the four areas.
AI and Databases
Led by Lara Dolecek, Professor of Electrical and Computer Engineering, UCLA Samueli, Murali Narayanaswamy, Principal Machine Learning Scientist, the DBS Redshift team, Amazon and Mani Srivastava, Professor of Electrical and Computer Engineering, UCLA Samueli, and Amazon Scholar.
Conversational AI and NLP
Led by Nanyun “Violet” Peng, Assistant Professor of Computer Science, UCLA Samueli, and Anoop Kumar, Manager, Applied Science, Alexa AI, Amazon.
AI and Computer Vision
Led by Aditya Grover, Assistant Professor of Computer Science, UCLA Samueli, UCLA, and Vijay Mahadevan, Senior Manager, Applied Science, AWS AI, Amazon.
AI and Business Operations
Led by Terry Kramer, Adjunct Professor of Decisions, Operations and Technology Management; Technology Management, Technology and Society, and Global Immersion in Shenzhen/Hong Kong, UCLA
2:30 – 3:30 p.m.
Graduate Student Opportunities Info Session
Join Amazon recruiters and scientists to learn about opportunities for graduate research and applied science internships and the new Amazon Postdoctoral Science program.
Graduate Students, please register here for the info session.
3:30 – 5:30 p.m.
Networking Mixer at Plateia Restaurant
Graduate students and faculty are invited to join Amazon scientists and leaders for a networking mixer at Plateia. This networking mixer follows the graduate student information session at the main Science Hub Showcase event. We hope that the conversations will carry over outside!