Open to Research Collaboration

Alireza Laalmanesh

MMath student in Computational Mathematics at the University of Waterloo, with a background in Industrial Engineering.

My current research focuses on real-time ambulance dispatch, dynamic relocation, and resource allocation under uncertainty.

Email Me GitHub LinkedIn
Research_Focus
research@alireza:~$ cat current_focus.txt
Emergency Medical Services Optimization
Real-time ambulance dispatch, dynamic relocation, resource allocation under uncertainty, and discrete-event simulation.
research@alireza:~$ cat methodological_interests.txt
Mathematical Optimization   Stochastic Modeling   Sequential Decision-Making
Structured Combinatorial Search   Learning-Guided Optimization
research@alireza:~$ cat current_principle.txt
Learning may guide evaluation or search; operational feasibility and decision structure should remain explicit.
research@alireza:~$ cat technical_foundation.txt
Python   C/C++   PyTorch   Discrete-Event Simulation   Numerical Optimization
Linux   Docker   AsyncIO   Scientific Computing
Selected_Projects

Dynamic Ambulance Dispatch and Relocation

An event-driven Emergency Medical Services simulation for studying real-time ambulance dispatch and dynamic relocation under uncertain demand. The current framework evaluates MOVE-versus-STAY decisions using spatial demand, local coverage, relocation trajectories, and interactions among available ambulances.

EMS Optimization Discrete-Event Simulation Dynamic Resource Allocation Python Operations Research

CrashVision-DL

A traffic-severity prediction project studying class imbalance in a large tabular dataset. The project uses DeepInsight-based feature mapping and a custom Soft F-Beta objective to emphasize recall for severe crash outcomes.

PyTorch DeepInsight Imbalanced Learning Custom Loss

Academic Hub Automation

A local integration system designed to bridge Linux research environments with Microsoft 365. Uses email transport layers to securely sync notifications and calendars without direct API dependencies.

Docker n8n System Design

LinguoMath TTS Experiment

An experimental pipeline for parsing scientific PDFs. Investigating ways to translate complex LaTeX formulas into natural language via Asyncio.

Python Asyncio Regex LLM Studies

CodeBase Aggregator

A utility script designed to aggregate repositories into datasets. Built to better understand LLM context injection and file I/O automation.

Python Automation File I/O

Server Config Utility

A Bash script developed to streamline the initialization of headless Linux servers. Automates the configuration of Tailscale and XRDP to ensure secure and immediate remote access.

Bash Linux Admin Automation

Android Hardware Bridge

A personal project exploring USB/IP protocols to repurpose rooted Android devices as headless servers over TCP/IP networks.

Low-level Protocols ADB Networking

Bilingual Audio Testing

Experimenting with AI voice synthesis APIs to automate the translation of educational video audio.

Audio Processing AI Dubbing

EagleEye Crawler

Learning asynchronous web scraping and data collection strategies by exploring Python's AsyncIO and Selenium capabilities.

Selenium AsyncIO Data Mining
Academic_Background
Master of Mathematics (MMath)
University of Waterloo — Computational Mathematics (Co-op)
Sep 2025 – Present
  • Recipient of the i-Comp-Data Fellowship, supporting interdisciplinary research involving computational methods and urban data.
  • Fellowship advisors: Dr. David Del Rey Fernández and Dr. Leia Minaker .
  • Research interests include numerical optimization, stochastic modeling, deep learning for urban data, and discrete-event simulation.
B.Sc. in Industrial Engineering
Amirkabir University of Technology (Tehran Polytechnic)
2019 – 2024
  • Thesis: Design of a Model for the Operating Room Scheduling Problem with Endogenous Uncertainty.
  • Coursework and project experience in systems analysis, optimization, supply chain management, and engineering statistics.
Honors_&_Awards
i-Comp-Data Fellowship
University of Waterloo
  • Fellowship supporting interdisciplinary research involving mathematics, computation, and urban or environmental data.
Top 1% National Ranking
National University Entrance Examination
  • Ranked in the top 1% among approximately 150,000 candidates.
Merit-based Scholarship
Amirkabir University of Technology
  • Awarded for outstanding academic performance during undergraduate studies.
Professional_Experience
Co-op Research Assistant
Polytechnique Montréal
Jun 2026 – Sep 2026
  • Conducted computational research on Emergency Medical Services dispatch and dynamic ambulance operations.
  • Designed and executed discrete-event simulation experiments for evaluating reinforcement-learning dispatch policies under shared operating scenarios.
  • Developed research directions related to interpretable ambulance relocation and resource allocation under uncertainty.
Graduate Teaching Assistant
University of Waterloo
Sep 2025 – Present
  • Supported MATH 128, MATH 106, MATH 135, and MATH 115 through tutorials, office hours, grading, and student feedback.
  • Assisted students with calculus, linear algebra, mathematical reasoning, and introductory proof techniques.
Mathematics & Physics Tutor
Self-employed (Private)
Dec 2019 – Sep 2025
  • Focused on fostering deep conceptual understanding in Math and Physics for grades 7–12.
  • Tailored instructional methods to individual learning styles to enhance problem-solving skills.
Teaching Assistant
Amirkabir University of Technology
Sep 2023 – Jun 2025
  • Assisted in "Introduction to Probability Theory", "Optimization", and "Systems Analysis".
  • Designed mathematical modeling assignments to bridge theoretical concepts with practical applications.
Factory Layout Design Intern
TAV Institute (Tavenergyco)
2024
  • Applied theoretical optimization techniques to address real-world supply chain and layout challenges.
  • Conducted capacity analysis to identify and mitigate production bottlenecks.
Academic Advisor
Kanoon Farhangi Amoozesh (Galamchi)
Dec 2019 – Dec 2020
  • Guided students in academic planning, goal setting, and developing efficient study habits.