News

Recent updates, talks, papers, and announcements.

• Nov 20, 2026 I am attending the SIAM DC–Maryland–Virginia Section Annual Meeting 2026 (DC-BALT26) at George Mason University (FUSE Building, Arlington Campus), November 20, 2026.
• Nov 20, 2026 I will give a talk on misinformation detection at Georgetown University, Department of Mathematics, on November 20, 2026.
• Oct 8–9, 2026 I will attend the Fall Fourier Talks (FFT 2026) at the University of Maryland, College Park (Norbert Wiener Center), October 8–9, 2026.
• Oct 6, 2026 I will serve as a program committee member for AAI-BD 2026, the 1st International Workshop on Agentic AI for Big Data, held online December 14–16, 2026, in conjunction with IEEE Big Data 2026 and the Cross-AI Symposium 2026.
• Oct 6, 2026 I will serve as a program committee member for MMAI 2026, the 6th International Workshop on Multimodal AI, held online December 14–16, 2026, in conjunction with IEEE Big Data 2026 and the Cross-AI Symposium 2026.
• Sep 22–28, 2026 I visited the Free University of Bozen-Bolzano from September 22 to 28, 2026. On September 24 I served in person as external examiner at a PhD defense.
• Sep 14, 2026 Our preprint A family of spectral conjugate gradient algorithms derived by least-squares approximations based on a modified quasi-Newton update with application to a revised robust binary classification model with Saman Babaie-Kafaki and Maryam Khoshsimaye-Bargard is now on arXiv.
• Sep 11, 2026 We submitted Enigma: Beyond Circuit-Level Security through Application-Layer Obfuscation for Quantum Optimization to EuroSys 2027 Fall.
• Sep 4, 2026 Our preprint MURAL: Multimodal Uncertainty-Aware Recommendation via Adaptive Edge Learning is now on arXiv.
• Aug 29, 2026 I am teaching DATA 612: Statistical Programming in R in Fall 2026.
• Aug 21, 2026 Our paper BLADE: Bilevel Low-Rank Augmented-Lagrangian Erasure for LLM Unlearning has been accepted to the EMNLP 2026 main conference.
• Aug 8, 2026 Our preprint The Rank-Collapse Principle for Quadratic Optimization with Mojtaba Soltanalian is now on arXiv.
• Jul 24, 2026 Our paper A Dynamically Nonmonotone Trust Region Algorithm Based on Scalar Estimations of the Hessian with Application to Binary Classification with Outliers is now published in Journal of Computational and Applied Mathematics.
• Jul 22, 2026 We submitted Weaver: A Hybrid Quantum-Classical Optimization Method for Binary Compressive Sensing under Matrix Uncertainty to AAAI 2027.
• Jun 28, 2026 Our preprint An Ensemble Learning Approach Based on Random Sparse Quadratic Twin Parametric-Margin SVMs is now available on SSRN.
• Jun 3, 2026 Our paper E-CaTCH: Event-Centric Cross-Modal Attention with Temporal Consistency and Class-Imbalance Handling for Misinformation Detection is now published online in IEEE Transactions on Computational Social Systems.
• May 11, 2026 I presented a poster on E-CaTCH at the AU Research Conference, American University.
• Dec 15, 2025 I received a CAS Faculty Grant for Scholarship and Creative Inquiry ($2,500) for Fair Collaborative Learning via Synthetic Payloads in Imbalanced Settings.
• Oct 13, 2025 I gave a talk, Exploring Sparsity: Modeling and Algorithmic Insights in Machine Learning and Finance, at Semnan University.