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Education

PhD, Computer Science

The University of Edinburgh, Edinburgh, UK

Advisor: Dr. Antonio Barbalace & Dr. Boris Grot

Master of Science, Computer Science

Isfahan University of Technology, Isfahan, Iran

Advisor: Dr. Massoud Reza Hashemi

GPA: 4/4 - 19.01/20 · Ranked 1st

Bachelor of Science, Computer Engineering

Isfahan University of Technology, Isfahan, Iran

Advisor: Dr. Elham Mahmoud Zadeh

GPA: 3.8/4 - 18.51/20 · Ranked 1st

Publications

Amir Noohi, Antonio Barbalace, Artemiy Margaritov. "Warden: Sandboxing Every Agent Tool at Near-Fork Cost." ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2027. (Under Review)

Amir Noohi, Artemiy Margaritov, Antonio Barbalace. "Aquifer: Following Live KV Production for Distributed Prefix Reuse." ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2027. (Under Review)

Amir Noohi, Antonio Barbalace. "TENURE: Residency Leases for Tiered LLM KV Caches." ACM Symposium on Cloud Computing (SoCC), 2026. (Under Revision)

Amir Noohi, Mostafa Derispour, Rodrigo Caetano de Oliveira Rocha, Antonio Barbalace, Artemiy Margaritov. "SagePTE: Co-Locating Guest and Host PTEs to Accelerate Virtual Memory Translation." IEEE/ACM International Symposium on Microarchitecture (MICRO), 2026.

Amir Noohi, Bita Asoodeh, Antonio Barbalace. "Towards a solution to the management scaling paradox in distributed LLM inference." Proceedings of the 6th Workshop on Machine Learning and Systems (EuroMLSys), 2026.

Amir Noohi, Saba Ebrahimi, Mostafa Derispour, Antonio Barbalace. "NTSM: OS-Level Memory Middleware for Scaling AI Without Boundaries." ACM/IFIP International Middleware Conference (Middleware), 2026.

Amir Noohi, Mostafa Derispour, Antonio Barbalace. "RMAI: Rethinking Memory for AI (Inference) In-Kernel Remote Shared Memory as a Software Alternative to CXL." Proceedings of the 5th Workshop on Machine Learning and Systems (EuroMLSys), 2025.

Abbas Khater, Amir Noohi, Massoud Reza Hashemi, Zeinab Zali. "An NFV-Based Framework for Autonomous Deployment of New Protocols in SDN Networks." IEEE Access, 2024.

Research Interests

Computer Architecture

CPU Architecture

Systems for ML

Operating Systems

Distributed Systems

HW/SW Co-design

Virtualization

Experience

CPU Researcher, Huawei Technologies Research & Development (UK) Ltd

Researching CPU architecture optimizations for AI agentic workloads.

CPU Architect, Huawei Technologies Research & Development (UK) Ltd

Leveraged the 128-bit extended PTEs developed during my internship to accelerate virtualized address translation.

CPU Architect, Huawei Technologies Research & Development (UK) Ltd

Extended Linux kernel page table entries (Level 3 entries) to 128-bit and modified QEMU to support this feature.

CEO & Founder, HIGHHOST

Founded and operated a comprehensive web hosting company offering dedicated servers, virtual private servers (VPS), shared hosting, cPanel hosting, reseller hosting, and domain registration services.

Research Assistant, Isfahan University of Technology

Designed and implemented a novel NFV-based framework for autonomous protocol deployment in SDN networks.

Technical Product Manager, IAI Core Center

Led the development of a patient-nurse communication platform for Iran Zamin Clinic, consisting of Android and web applications.

Cloud Engineer, IUT ECE Department

Infrastructure: Architected and deployed a production-grade private cloud serving 100+ physical servers across 5 data center racks.

Software Developer, IUT ECE Department

Developed the backend for Jinaro project using Laravel (PHP), implementing RESTful APIs and database architecture.

Teaching

University of Edinburgh

Lead Teaching AssistantOperating Systems

Lead Teaching AssistantProgramming for Data Science at Scale

Teaching AssistantIntroduction to Computer Systems

Lead Teaching AssistantOperating Systems

Lead Teaching AssistantProgramming for Data Science at Scale

Lead Teaching AssistantOperating Systems

Teaching AssistantExtreme Computing

Teaching AssistantOperating Systems

Sharif University of Technology

LecturerDatabase

Teaching AssistantData Mining

Teaching AssistantAdvanced Software Engineering

Isfahan University of Technology

Lead Teaching AssistantComputer Networks

Lead Teaching AssistantComputer Networks

Lead Teaching AssistantAdvanced Programming

Teaching AssistantFundamental Programming

Teaching AssistantComputer Security

Teaching AssistantComputer Networks

Lead Teaching AssistantAdvanced Programming

Teaching AssistantBasic Programming

Lead Teaching AssistantAdvanced Programming

Teaching AssistantBasic Programming

Teaching AssistantFundamental Programming

Teaching AssistantBasic Programming

Teaching AssistantBasic Programming

Teaching AssistantBasic Programming

Teaching AssistantAdvanced Programming

Student Mentorship

Hasan Alhussain (MSc, University of Edinburgh) — Optimizing OS-level memory management for AI inference under memory pressure with CXL-based shared memory · Dec 2025 - Jun 2026

Arsh Kumar (BSc, University of Edinburgh) — Optimizing OS-level memory management for AI inference under memory pressure with CXL-based shared memory · Nov 2025 - May 2026

Saba Ebrahimi (MSc, Shahid Beheshti University) — Visiting intern at UoE working on thread migration project with Huawei · Aug 2024 - Dec 2025

Mostafa Derispour (BSc, Isfahan University of Technology) — Distributed shared memory for AI workloads and SagePTE extended page table architecture · Jul 2023 - Nov 2025

Ali Farahani (BSc, Sharif University of Technology) — Optimizing shuffle operations in distributed AI training through OS-level memory management, implementing zero-copy data movement and NUMA-aware buffer allocation to reduce inter-node communication overhead · Jan 2025 - May 2025

Zhengyi Chen (UG Project, University of Edinburgh) — Coherency and consistency of modern DSM in Linux kernel · Sep 2023 - Mar 2024

Tom Blackburn (UG Project, University of Edinburgh) — Comparison of user-space and kernel-space DSM · Sep 2023 - Jan 2024

Mohsen Ghasemi (BSc, Sharif University of Technology) — Workload characterization and performance analysis for Distributed Shared Memory (DSM) systems, profiling memory access patterns, page fault rates, and coherence protocol overhead across AI and HPC workloads · Sep 2023 - Dec 2023

AmirHossein Barati (BSc, Sharif University of Technology) — Design and implementation of kernel-level Distributed Shared Memory (DSM) subsystem, including page fault handlers, remote memory access protocols, and coherence mechanisms using RDMA for low-latency data transfer · Jun 2023 - Aug 2023

Honors & Awards

Ph.D. Scholarship AwardSchool of Informatics, University of Edinburgh, 2023

Ranked 1st in M.Sc.Isfahan University of Technology, 2021

Ranked 1st in B.Sc.Isfahan University of Technology, 2019

Direct Admission to M.Sc.Isfahan University of Technology, 2019

National Exceptional Talents ScholarshipIran's National Foundation for Exceptional Talents, 2019

Top 1% in University Entrance ExamIranian National Exam, 2015

Physics Olympiad - Ranked 7thNational Physics Olympiad, 2014

Math Olympiad - Ranked 5thNational Math Olympiad, 2013

Talks & Service

"Q3 2026 Huawei Workshop"Huawei Technologies Research & Development, Q3 2026

"Q2 2026 Huawei Workshop"Huawei Technologies Research & Development, June 2026

"Towards a solution to the management scaling paradox in distributed LLM inference"EuroMLSys 2026 Workshop, May 2026

"Q4 2025 Huawei Workshop"Huawei Technologies Research & Development, December 2025

"RMAI: Rethinking Memory for AI Inference"EuroMLSys 2025 Workshop, March 2025

"Q4 2024 Huawei Workshop"Huawei Technologies Research & Development, December 2024

Student Volunteer, EuroSys 2026 (May 2026)

Artifact Evaluation Committee, EuroSys 2025 (Fall 2025)

Artifact Evaluation Committee, EuroSys 2025 (Spring 2025)

Shadow Program Committee, EuroSys 2025 (March 2025)

Skills

Languages: C/C++, Python, Rust, PHP, Java, JavaScript/TypeScript, Bash/Shell, SQL, Assembly (x86/ARM64)

Systems Programming: Linux Kernel Development, QEMU/KVM, Memory Management, Device Drivers

Virtualization & Cloud: KVM/QEMU, VMware vSphere/ESXi, Docker/Containers, OpenStack, Xen, Hyper-V

Databases: MySQL/MariaDB, PostgreSQL, MongoDB, Redis, SQLite

Networking: Wireshark, tcpdump, iptables/nftables, BGP/OSPF, SDN/OpenFlow, Mininet, DPDK, NS2/NS3

ML & Data Science: PyTorch, vLLM, Ray / Ray Serve, Hugging Face Transformers, DeepSpeed, NCCL, CUDA/cuDNN, LMCache, TensorFlow, Pandas/NumPy, Hadoop/Spark