Hi there!
I am a Ph.D. student in Computer Science at Arizona State University, working in the Active Perception Group advised by Prof. Yezhou (YZ) Yang. My research builds controllable and reliable generative models for images and video. Right now I focus on identity consistency in text-to-video, training-free inference-time control, and rigorous evaluation of generative systems. I also work on temporal modeling of long, irregular visual sequences and on agent-based evaluation pipelines. My goal is to make multimodal generative models more controllable, trustworthy, and ready for real‑world creative and decision‑making tools
News
- Jul 2026 — I am honored to have been selected by Ira A. Fulton Schools of Engineering as a recipient of the Ferdinand A. Stanchi Fellowship ($1,520) for the 2026–2027 academic year.
- Jun 2026 — I am attending CVPR 2026 in Denver to present our paper "Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction".
- May 2026 — I am honored to have been selected by the ASU Foundation as a recipient of the Ernie F. Johnson Scholarship ($4,500) for the 2026–2027 academic year.
- May 2026 — I have been awarded a Graduate Student Government (GSG) Travel Grant ($950) to support professional development and conference attendance for fiscal year 2025–2026.
- Mar 2026 — Our paper "Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction" has been accepted to the CVPR 2026 MORSE Workshop.
- Dec 2025 — I am attending Learning on Graphs (LoG) Conference 2025 in Phoenix.
- Dec 2025 — I am attending Neurips 2025 virtually.
- June 2025 — Honored with the Best Paper Award for our work, TextInVision, at the CVPR 2025 BEAM workshop.
- May 2025 — Our work, TextInVision, selected for an Oral Presentation at the CVPR 2025 BEAM workshop.
- Sep 2024 — Received a return offer to rejoin my team at NVIDIA as a Control Software Engineer Intern for Summer 2025.
- Aug 2024 — I successfully concluded my internship at NVIDIA and our work on safe online parameter tuning using RL resulted in a patent filing by the team.
- May 2024 — I began my internship as a Control Software Engineer at NVIDIA.
- Dec 2023 — Our paper, Transforming Discrete Event Models to Machine Learning Models, was published in the proceedings of the 2023 Winter Simulation Conference (WSC).
- Aug 2022 — I am honored to have been selected as a recipient of the School of Computing and Augmented Intelligence (SCAI) Doctoral Fellowship ($5,000) for the 2022–2023 academic year.
Selected Publications & Preprints
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TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark
Oral Best Paper -
Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
Published -
RareFlow: Physics-Aware Flow-Matching for Cross-Sensor Super-Resolution of Rare-Earth Features
Preprint -
Transforming Discrete Event Models To Machine Learning Models
Published
Education
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Arizona State University — Ph.D. in Computer Science
- GPA: 4/4
- Advisor: Yezhou (YZ) Yang
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Tarbiat Modares University — M.Sc. in Electrical Engineering
- GPA: 4/4
- Advisor: Amin Ramezani
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Amirkabir University of Technology — B.Sc. in Electrical Engineering
- GPA: 3.6/4
Teaching Assistant
- Knowledge Representation and Reasoning — ASU
- Frontier Topics in Generative AI — ASU
- Object-Oriented Programming & Data Structures — ASU
- Multimedia Information Systems — ASU
- Modeling & Simulation — ASU
- Data-Driven Fault-Tolerant Control Systems — TMU
- Model-Based Fault-Tolerant Control Systems — TMU
- Robust Control Systems — TMU
- Model Predictive Control System — AUT
Community Service
Reviewing
- June 2026 — Reviewer, British Machine Vision Conference (BMVC)
- June 2026 — Reviewer, IEEE Transactions on Multimedia
- December 2026 — Reviewer, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) EVGEN Workshop
- May 2025 — Reviewer, International Conference on Computer Vision (ICCV)
- September 2024 — Reviewer, IEEE Transactions on Multimedia
- October 2024 — Reviewer, Conference on Neural Information Processing Systems (NeurIPS) RBFM Workshop
- September 2024 — Reviewer, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- January 2024 — Reviewer, IEEE Robotics and Automation Letters
Volunteering
- December 2025 — Volunteer, Learning on Graphs (LoG) Conference, Phoenix