[{"id":21321,"title":"Data-Driven Optimization for Fast and Reliable Decision-Making Under Uncertainty","permalink":"https:\/\/bschool.nus.edu.sg\/biz-events\/event\/data-driven-optimization-for-fast-and-reliable-decision-making-under-uncertainty\/","category":"Seminars and talks","event_dept":{"value":"analytics-operations","label":"Analytics & Operations"},"event_sec_dept":false,"event_details":{"event_start_date":"11  February  2026","event_end_date":"11  February  2026","event_start_time":"3:30 pm","event_end_time":"5:00 pm","event_dress_code":"NA"},"event_loc":{"eve_address_selection":"1","eve_location_1":{"eve_org":"NUS Business School","eve_build":"Mochtar Riady Building","eve_room":"BIZ1 0302","eve_add":"15 Kent Ridge Drive","eve_count":"Singapore","eve_copos":"119245","eve_map_url":"https:\/\/goo.gl\/maps\/Q1kyjwxHNE22"},"eve_location_2":{"eve_org":"Shaw Foundation Alumni House","eve_build":"","eve_room":"Clove and Lemongrass Room Level 2","eve_add":"11 Kent Ridge Drive","eve_count":"Singapore","eve_copos":119244,"eve_map_url":"https:\/\/goo.gl\/maps\/docgThkDWFxKdb9c7"},"eve_location_3":{"eve_org":"Hon Sui Sen Memorial Library Auditorium","eve_build":"","eve_room":"","eve_add":"1 Hon Sui Sen Drive","eve_count":"Singapore","eve_copos":117588,"eve_map_url":"https:\/\/goo.gl\/maps\/NJjWK4RMpC92"},"eve_location_4":{"eve_org":"NUSS Kent Ridge Guild House","eve_build":"","eve_room":"Dalvey Room","eve_add":"9 Kent Ridge Drive","eve_count":"Singapore","eve_copos":119241,"eve_map_url":"https:\/\/goo.gl\/maps\/nXn2Luh96pH2"},"eve_location_5":{"eve_org":"Institute of Data Science","eve_build":"Innovation 4.0","eve_room":"1-3","eve_add":"3 Research Link","eve_count":"Singapore","eve_copos":117602,"eve_map_url":"https:\/\/goo.gl\/maps\/i1xocvvDh27QUXem7"},"eve_location_6":{"eve_org":"","eve_build":"","eve_room":"","eve_add":"","eve_count":"","eve_copos":"","eve_map_url":""},"eve_location_7":""},"event_introduction":"","event_short_intro":"","event_topic":null,"event_banner":false,"event_external_url":"","event_registration_details":{"event_registration_form":false,"event_registration_message":"","event_registration_deadline":null,"eve_registration_url":"","event_form":"","event_registration_ack":""},"event_speaker":[{"event_speaker_name":"Irina Wang","event_speaker_designation":"","event_speaker_affiliation":"Princeton University","event_speaker_picture":false,"event_speaker_url":"","event_speaker_introduction":"<p>Irina Wang is a PhD candidate in the department of Operations Research and Financial Engineering at Princeton University. Irina\u00a0received a bachelor degrees in Operations Research and Information Engineering from Cornell University. Her research interests include robust optimization, decision-focused learning, optimization-based control, and stochastic multi-level optimization. She is the recipient of several honors and awards including a Princeton Wallace Memorial Fellowship, an INFORMS Computing Society Student Paper Award, and a Princeton School of Engineering and Applied Sciences Excellence Award.<\/p>\n"}],"event_agenda":false,"event_photo_gallery":false,"event_presentations":false,"event_custom_heading":[{"event_custom_title":"Abstract","event_custom_details":"<p>Uncertainty is inherent when making decisions. Robust optimization and distributionally robust optimization have become widely adopted tools for building solutions that remain effective under uncertainty, but some challenges have always limited their practical functionality: high computational effort in terms of both memory and runtime, conservative models of the uncertainty leading to suboptimal solutions, and complex formulations that require advance knowledge of convex analysis. In this talk, I will address these challenges by discussing new data-driven frameworks for optimization under uncertainty. In particular, I will focus on reducing data dimensionality to achieve computational speedups, and building decision-focused uncertainty sets to reduce conservatism.<\/p>\n"}],"event_enquiry_details":{"event_enq_full_name":"","event_enq_department":"","event_enq_email":"","event_enq_telephone":"","event_enq_website":""}}]