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Education
- Ph.D. in Computer Science, The Ohio State University, 2022 - Present
- M.Sc. in Computer Engineering (Software), Shahid Beheshti University, Tehran, 2015 - 2017
- B.Sc. in Computer Engineering (Hardware), Shahid Beheshti University, Tehran, 2011 - 2015
Work Experience
- ML Research Intern at Apple, Seattle, WA — May 2025 - Present
- Working on multimodal vision-language models and efficient training for generative applications.
- Machine Learning Intern at Higharc, North Carolina — May 2024 - Aug 2024
- Research on semantic and panoptic segmentation.
- Self-supervised learning with DETR-based model using unlabeled data.
- Developed domain adaptation strategies for cross-dataset generalization.
- Senior ML Engineer at Jibb, San Francisco — Dec 2020 - Dec 2021
- Removed unwanted visual content from media using object detection and enhancement techniques.
- Designed U-Net variants for fast and accurate image/video processing.
- CTO at BlueBitSoft, Tehran — Dec 2018 - Dec 2021
- Designed high-level scalable software architecture.
- Guided engineering team using CI/CD pipelines and best practices.
- Senior Data Scientist & Back-End Developer at TAPSI (Online Taxi), Tehran — Mar 2018 - Dec 2020
- Designed micro-services for pricing, GPS fraud detection, and ETA prediction.
- Introduced demand forecasting and smart maps.
- Published work on ETA algorithms.
Teaching Experience
- TA, Computer Vision for HCI (Spring 2025), Ohio State University
- TA for 5 semesters of “Modeling and Problem Solving with Spreadsheets and Databases” (2022–2025)
- TA at Shahid Beheshti University for AI, Algorithms, and Discrete Mathematics (2012–2018)
Selected Publications
- TaxaDiffusion: Fine-Grained Species Generation with Diffusion — ICCV 2025
- KnobGen: Artistic Detail Control in Sketch Diffusion — CVPR 2025 Workshop
- Frequency-Guided Masking: SSL for Vision — ICLR 2025
- Masked LoGoNet: 3D Medical Image Segmentation — KDD 2024
- CrashFormer: Crash Risk Prediction — SIGSPATIAL 2023
- Smart and Collaborative Industrial IoT: FL Systems — Elsevier DCN, 2023
Honors & Awards
- SIGKDD 2025: Outstanding Reviewer (Top 10%), Excellent Reviewer (Top 20%)
- ACM-ICPC Coach: World Finals (2018), Regionals & Online (2012–2017)
- ACM-ICPC Contestant: Top 10 rankings in national and Asia regionals (2012–2014)
- 1st Rank in National M.Sc Entrance Exam of Computer Engineering (2015)
- Top 1% in National B.Sc Entrance Exam of Mathematics (2011)
- Bronze Medal, Waterloo Mathematics Olympiad (2009)
Skills
- Programming: Python, C++, C#, MATLAB, R, Java, NodeJS
- Deep Learning: PyTorch, TensorFlow, Keras
- Databases: PostgreSQL, SQL Server, MySQL, MongoDB, Redis, Elasticsearch
- DevOps: CI/CD, Docker, RabbitMQ, Spark, Kafka