Niki Nezakati

Niki Nezakati

CS PhD Student

University of California, Riverside

Hi, I’m Niki. I’m a Computer Science PhD student at the University of California, Riverside, working at the Vision and Learning Group and the CODE Lab under the supervision of Professor Amit K. Roy-Chowdhury and Professor Vishwanath Saragadam. I received my B.Sc. in Computer Engineering at Iran University of Science and Technology, where I was admitted with a top 0.07% rank (293 out of 400,000+) in Iran’s National University Entrance Exam.

My research interests span computer vision, image processing, NLP, and robust machine learning, with a general focus on making AI systems more reliable in real-world settings. During my Ph.D., I have worked on improving the stability and quality of image restoration methods based on diffusion models, and I have explored how multimodal learning systems behave when some inputs are missing or unreliable. I also have experience with 3D reconstruction and neural rendering, including camera pose estimation and modern radiance-field methods. I’m motivated by problems at the intersection of visual understanding, generative modeling, and trustworthy AI. Beyond my research, I enjoy playing the piano and reading novels!

Interests
  • Diffusion Models for Generation and Restoration
  • Robust and Trustworthy Machine Learning
  • Computer Vision and Natural Language Processing
  • 3D Reconstruction and Rendering
Education
  • Ph.D. in Computer Science, Present

    University of California, Riverside

  • B.Sc in Computer Engineering, 2023

    Iran University of Science and Technology

Recent Publications

(2025). CARD: Correlation Aware Restoration with Diffusion. Under Review.

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(2025). MMP: Towards robust multi-modal learning with masked modality projection. Proceedings of the 2025 IEEE International Conference on Big Data.

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(2025). TDiff: Thermal Plug-And-Play Prior with Patch-Based Diffusion. Proceedings of the 2025 ACM International Workshop on Thermal Sensing and Computing.

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Recent Teachings

All Teachings»

Teaching Experience

  • [Spring 2025] Head TA - Introduction to Computer Science, UC Riverside.

  • [Winter 2025] TA - Introduction to Computer Science, UC Riverside.

Recent Awards

All Awards»

Academic Awards

  • Received the Dean’s Distinguished Fellowship Award at the University of California, Riverside (2023)

  • Awarded an M.Sc. Admission Offer for Outstanding Students by the Iran University of Science and Technology, Computer Engineering Department (2023).

  • Received an Undergraduate Tuition Fee Waiver for Exceptional Students at Iran University of Science and Technology (2020).

  • Ranked 293rd out of over 400,000 students in Iran’s National University Entrance Exam, placing in the Top 0.07% (2019).

  • Awarded at NODET’s Young Researchers Competition, recognized as one of the top tech projects in honor of Prof. Maryam Mirzakhani (2018).

  • Achieved 1st Place in the Junior Demo Open AI & Robotics Challenge at the RoboCup IranOpen International Competitions (2017).

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