Talks, Conferences, and Workshops
2025
- 11/02/2025, presented at the co-organized minisympisium "Foundation Models: From Theory to Practice", SIAM-NNP 2025 (University Park, PA).
- 08/22/2025, presented at the AFOSR Annual Review Meeting (Washington, DC).
- 08/09/2025, gave a lightning talk and served as a panelist at the MIT CBMM Summer School workshop (Woods Hole, MA).
- 07/22/2025, present at the 18th USNCCM (Chicago, IL).
- 04/23/2025, Guest Lecture on “Graph Neural Networks” for the MATH707 course at NJIT.
2024
- 10/30/2024, presented at the Institute for Quantitative Biomedicine (IQB) at Rutgers University.
- 10/09/2024, joined the annual meeting of SEACROGS Center at Stanford University (Stanford, CA).
- 09/10/2024, joined the Hudson Forum 2024 at IBM (Yorktown Heights, NY).
- 03/01/2024, presented at the Learning on Graphs (LoG) NYC meetup.
- 02/16/2024, presented at the NJ Big Data Alliance (NJBDA) Research Collaboration Forum.
- 02/07/2024, presented at the Mathematical Biology Seminar in the Department of Mathematical Sciences at NJIT.
- 01/08/2024-01/10/2024, presented at the Applied Mathematics and MMICCs Principal Investigator Meeting, sponsored by the DOE. (Albuquerque, NM, US)
2023
- 11/30/2023, presented at the "Machine Learning and Dynamical Systems Seminar", Alan Turing Institute (UK).
- 11/13/2023, presented "Hyperbolic graph embedding" in the seminar at Caltech.
- 11/06/2023, presented "Hyperbolic graph embedding for MEG brain network analysis" in the IDS Data Science Summit 2023 at NJIT@Jersey City.
- 11/02/2023, presented "A Generalization of ViT/MLP-Mixer to Graphs" for the FinTech seminar at the Martin Tuchman School of Management, NJIT.
- 10/22/2023, presented "Adaptive time-stepping for learning temporal graph embeddings using transformers" at the Annual meeting of SIAM-NNP.
- 08/22/2023, presented "Learning temporal graph embeddings using transformers" at the ICIAM Workshop on "Mathematics of Geometric Deep Learning" (Tokyo, Japan).
- 06/09/2023, presented a keynote talk on “Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, and Generalization” in the MSML conference at ICERM (Providence, RI).
- 05/30/2023, presented “Temporal stochastic graph embedding based on transformers” in the DOE Center “SEA-CROGS” Webinar.
- 04/24/2023, Collaborated work on “Hyperbolic graph convolutional networks: A novel approach to discover aging trajectories and signatures of cognitive decline” was presented in the MIT-MGB AI Cures Conference 2023 (MIT Samberg Center, Cambridge, MA).