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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > BIMSA General Relativity Seminar A Review of Machine Learning Methods in Data Analysis: Integrating Physics-Informed Approaches
A Review of Machine Learning Methods in Data Analysis: Integrating Physics-Informed Approaches
Organizers
Lars Andersson , Alejandro Torres Orjuela , Xiao Ran Zhang
Speaker
Jahed Abedi
Time
Friday, March 21, 2025 4:00 PM - 5:00 PM
Venue
A3-2-301
Online
Zoom 787 662 9899 (BIMSA)
Abstract
This seminar reviews machine learning (ML) methods for data analysis, emphasizing Physics-Informed Machine Learning (PIML). PIML synergizes data-driven models with domain-specific physical principles to enhance accuracy, interpretability, and computational efficiency. Key tools, available software packages, and applications across scientific disciplines are discussed.
Speaker Intro
Jahed Abedi is a black hole physicist with a broad interest in gravitational physics, bridging both observational and theoretical domains. On the observational side, his work focuses on the search for gravitational wave (GW) echoes and Quasi-Normal Modes (QNMs) in LIGO/Virgo data, while his theoretical research delves into black hole perturbations, QNMs, and Quantum Field Theory (QFT) in curved space-time. Jahed was awarded the 2019 Buchalter Cosmology First Prize for one of his publications where he served as the lead author, reflecting the high impact of his research. He holds a Bachelor's degree in Electrical Engineering, as well as a Master's and PhD in Physics. His research seeks to answer several critical questions: How can a better pipeline be developed to test the Kerr nature of observed Binary Black Hole Mergers through black hole spectroscopy? With improved methods, can additional subdominant Quasi-Normal Modes (QNMs) be detected? Can these results validate previous searches or reveal deviations from General Relativity in GW data? What quantum effects might be expected from black holes, and if they exist, how significant are they? Can such effects be observed? Lastly, how can gravitational wave data confirm or rule out alternatives to classical black holes or their mimickers? Jahed's work continues to push the frontiers of black hole physics, and he remains open to collaborations and inquiries from those interested in his research.
Beijing Institute of Mathematical Sciences and Applications
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