Mahbod Afarin

Mahbod Afarin

Postdoctoral Scholar

University of California San Diego

Hi, I am Mahbod. I am currently a Postdoctoral Scholar at the University of California, San Diego, working in the System Energy Efficiency (SEE) Lab and the Processing with Intelligence Storage and Memory (PRISM) Research Center under the supervision of Professor Tajana Rosing. I received my Ph.D. in Computer Science from the Univesity of Califronia, Riverside under the supervision of Professor Rajiv Gupta and Professor Nael Abu-Ghazaleh. Prior to that, I earned my M.Sc. in Computer Engineering from Sharif University of Technology, where I was advised by Professor Shaahin Hessabi.

My research interests include hardware accelerators, compiler optimizations, graph analytics, & computer architecture . During my Ph.D., I developed frameworks that accelerate graph processing workloads by combining hardware and algorithmic innovations. These frameworks exploit parallelism and eliminate redundancy to improve scalability and performance. I also enjoy working on computer architecture and compiler optimization projects. My research has been published in top-tier conferences, including MICRO, ASPLOS, and EuroSys. Outside of computer science, I enjoy reading history and literature.

Interests
  • Computer Architecture
  • Hardware Accelerators
  • Compiler Optimizations
  • Graph Processing
  • FPGA Design
  • GPU Programming
  • Machine Learning
Education
  • Postdoc in Computer Science, 2026

    University of California San Diego

  • PhD in Computer Science, 2025

    University of California Riverside

  • MSc in Computer Engineering, 2018

    Sharif University of Technology

Recent News

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News

  • [10/2026] Paper accepted: Indexing Evolving Graphs via Query Evolution Prediction, IEEE BigData 2026.

  • [10/2026] Paper accepted: Sagas: Temporally Consistent Sampling of Evolving Graphs, IEEE BigData 2026.

  • [10/2026] Paper accepted: HDLouvain: High-Throughput Incremental Clustering for Hyperdimensional Data, IEEE BigData 2026.

  • [09/2026] Paper accepted: ApproxHDC: Approximation Tuning for Hyperdimensional Computing, ASPLOS 2027.

  • [09/2026] Paper accepted: GenMLIR: An MLIR Compiler for Dynamic Programming Workloads on Tier-Aware 3D-DRAM PIM, ASP-DAC 2027.

Recent Publications

(2026). HDLouvain: High-Throughput Incremental Clustering for Hyperdimensional Data. 2026 IEEE International Conference on Big Data (BigData) (Acceptance Rate: 19.4%) .

Cite arXiv

(2026). Indexing Evolving Graphs via Query Evolution Prediction. 2026 IEEE International Conference on Big Data (BigData) (Acceptance Rate: 19.4%) .

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(2026). Sagas: Temporally Consistent Sampling of Evolving Graphs. 2026 IEEE International Conference on Big Data (BigData) (Acceptance Rate: 19.4%) .

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Recent Teachings

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Teaching Experience

  • [Summer 2023] TA - Compiler Design, UC Riverside.

Recent Services

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Peer Review

  • Reviewer for the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'27).

  • Review activity for ACM transactions on architecture and code optimization.

  • Review activity for IEEE computer architecture letters.

  • Review activity for Parallel computing.

Artifact Evaluation Committee

  • International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'25).

  • International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24).

Recent Awards

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Academic Awards

  • Won the UCR Dissertation Completion Fellowship Award at UC Riverside in 2024.

  • Received the Excellent Service badge in all three cycles of ASPLOS’24 Artifact Evaluation at ACM International Conference on Architectural Support for Programming Languages and Operating Systems, San Diego, 2024 (Certificate of Appreciation).

  • Won UCR GSA Travel Grant Award at University of California, Riverside, 2023.

  • Won Dean’s Distinguished Fellowship Award at University of California, Riverside, 2019.

  • Ranked 7th in terms of total GPA among 83 Computer Engineering students in Sharif University of Technology (Top 8%), 2018.

  • 1st Rank, Achievement of the highest GPA in B.Sc among all Computer Engineering graduated students, 2015.

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