Mohammad Mahdi Javanmard

Mohammad Mahdi Javanmard
Lead Member Of Technical Staff @Salesforce
Salesforce, New York Office, USA
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Research Interests	High-Performance Computing Cache-efficient Parallel Algorithms, and External-memory Algorithms Optimizing Compilers (specifically Polyhedral Compilers) Machine Learning for Systems Big Data, and Cloud Computing Software Engineering
Educational Background	M.Sc. & Ph.D. in Computer Science State University of New York at Stony Brook (also known as Stony Brook University), Stony Brook, NY, USA Ph.D. Supervisors: Rezaul Chowdhury and Robert Harrison Dissertation: Parametric Multi-Way Recursive Divide-and-Conquer Algorithms for Dynamic Programs B.Sc. in Computer Engineering - Software Shahid Beheshti University, Tehran, Iran
Research and Development (R&D) Experience	Salesforce Inc. [June 2024 - Present] Lead Member Of Technical Staff Intuit Inc. [Mar 2023 - June 2024] Senior Software Engineer Meta Platforms, Inc. (Facebook) [Mar 2020 - Feb 2023] Research Scientist Stony Brook University [Sep 2012 - Mar 2020] Graduate Research and Teaching Assistant Google [Sep 2018 - Dec 2018] Software Engineering Intern Designed and implemented deallocationz profiler for tcmalloc (C++) The project is integrated into tcmalloc and open-sourced (Link) Salesforce Inc. [May 2018 - Aug 2018] Software Engineering Intern Designed and implemented HBase replication health test framework (Java and Apache Phoenix)
Selected Publications	Complete List: Google Scholar [Communications of the ACM-2024] Combining Machine Learning and Lifetime-Based Resource Management for Memory Allocation and Beyond [SPAA 2021] (⭐Outstanding Paper Award) Low-Span Parallel Algorithms for the Binary-Forking Model [IPDPSW 2021] Understanding Recursive Divide-and-Conquer Dynamic Programs in Fork-Join and Data-Flow Execution Models [IEEE CLUSTER 2020] Efficient Execution of Dynamic Programming Algorithms on Apache Spark (Youtube Talk Video) (github-repo) [CGO 2020] Deriving parametric multi-way recursive divide-and-conquer dynamic programming algorithms using polyhedral compilers [ISC-HPC 2019] [PPoPP 2019] Toward efficient architecture-independent algorithms for dynamic programs [ASPLOS 2020] (⭐SIGPLAN Research Highlight Award) Learning-based Memory Allocation for C++ Server Workloads (Youtube Talk Video by Martin Maas)
Teaching Experience	Shahid Beheshti University: [TA] Discrete Structures (Fall’09), [TA] Information Retrieval and Storage (Fall’09/Fall’10), [TA] Automata Theory, Languages and Computation (Fall’09), [TA] Principles of Database Design (Fall’10/Spring’11), [TA] Data Structures and Algorithms (Spring’11/Fall’11/Spring’12), [TA] Compiler Design (Spring’12), [TA] Computer Networks (Spring’12), and [Lab Instructor] Database Lab (Fall’11/Spring’12) Sharif University of Technology: [TA] Principles of Database Design (Fall’11/Spring’12) Stony Brook University: [Lecturer] ESG 111 - C Programming for Engineers (Spring’16), [TA] ISE 305 - Database Design and Practice (Fall’12), [TA] CSE 305 - Principles of Database Systems (Spring’13), [TA][Grad Course] CSE 537 - Artificial Intelligence (Fall’13), [TA] CSE 102 - Introduction to Web Design and Programming (Winter’15/Winter’16/Summer’14), [TA] CSE 114 - Computer Science I (Summer’16), [TA] CSE 214 - Computer Science II (Summer’14/Summer’15/Summer’16), [TA] CSE 307 - Principles of Programming Languages (Summer’16), [Guest Lecturer] [Grad Course] CSE 590 - Supercomputing (Spring’16/Spring’22), [Guest Lecturer] [Grad Course] CSE 613 - Parallel Programming (Spring’19)
Technical Skills	Programming Languages: C/C++, Java, Kotlin, Python, JavaScript, C#, Prolog, SML, and Assembly Parallel Paradigms and Environments: CUDA, MPI, OpenMP, Apache Spark, Intel Cilk+, Intel CnC, Legion, OpenCL, and Charm++ Toolchains and Automation Platforms: GNU toolchain (gcc/gdb/make), cMake, and Jenkins Big Data and Database Management Systems: Microsoft SQL Server, MySQL, IBM DB2, PostgreSQL, Amazon Redshift, eXist-db, and XSB, Cassandra, Mongodb, and HBase Web Development: HTML/CSS, JavaScript, Spring Boot, Java Servlets, and JSP
Awards and Honors	Recipient of SIGPLAN Research Highlight Award for the paper "Learning-based Memory Allocation for C++ Server Workloads", ASPLOS'20 Recipient of Outstanding Paper Award for the paper "Low-Span Parallel Algorithms for the Binary-Forking Model", SPAA'21 Receipent of IACS Young Writer's Scholarship, IACS, Stony Brook University Best TA Award for the academic year 2013-2014, Computer Science Department, Stony Brook University Recipient of Stony Brook CS Department Chair Fellowship for the first year of Ph.D., Computer Science Department, Stony Brook University

Last Modified: March 2024