00 / INTRO

TAHA TORBATI

MECHANICAL ENGINEER / ENERGY SYSTEMS / COMPUTATIONAL RESEARCH

MECHANICAL ENGINEER | ENERGY SYSTEMS RESEARCHER | DATA-DRIVEN PROBLEM SOLVER

I AM MOHAMMAD TAHA TORBATI, A MECHANICAL ENGINEERING GRADUATE AND ENERGY SYSTEMS RESEARCHER. MY WORK CONNECTS COMPUTATIONAL MECHANICS, MACHINE LEARNING, PHYSICS-INFORMED MODELING, AND SUSTAINABLE ENERGY TO BUILD PRACTICAL SOLUTIONS FOR COMPLEX TECHNICAL PROBLEMS.

VIEW WORK CONTACT ME
1A / ABOUT

ABOUT & SKILLS

STRICTLY FUNCTIONAL PROFILE / ENGINEERING + COMPUTATION + AI

I FOCUS ON THE INTERSECTION OF MECHANICS, COMPUTATION, AND INTELLIGENT SYSTEMS. MY INTERESTS INCLUDE PHYSICS-INFORMED NEURAL NETWORKS, DATA-DRIVEN FLUID MECHANICS, FINITE ELEMENT ANALYSIS, AND SUSTAINABLE ENERGY SYSTEMS.

ENGINEERING

COMPUTATIONAL MECHANICSFINITE ELEMENT ANALYSISFLUID DYNAMICSSOLAR ENERGY

PROGRAMMING

PYTHONMATLABNUMPY / SCIPYSQL / PANDAS

AI & ML

PINNSPYTORCHTENSORFLOWDATA-DRIVEN MODELING
2 / EXPERIENCE

EXPERIENCE

PROJECTS / RESEARCH / PROFESSIONAL WORK / TEACHING

A COMPREHENSIVE OVERVIEW OF MY PROFESSIONAL ROLES, ACADEMIC RESEARCH, AND ADVANCED ENGINEERING PROJECTS.

RESEARCH PROJECT

PHYSICS-INFORMED NEURAL NETWORKS FOR MULTI-TASK AIRFOIL PREDICTION

SEPTEMBER 2025
  • ENGINEERED PINNS UTILIZING CST PARAMETERIZATION ON THE NASA PALMO DATASET ACROSS A BROAD OPERATIONAL ENVELOPE (MACH 0.25–0.9, AOA -20° TO +20°).
  • ACHIEVED EXCEPTIONAL PREDICTIVE ACCURACY (R² > 0.99) FOR AERODYNAMIC COEFFICIENTS (LIFT, DRAG, MOMENT) WHILE ENSURING ROBUST GENERALIZATION ON UNSEEN GEOMETRIES VIA FAST DERIVATIVE LAYERS.
UNDERGRADUATE THESIS

HYBRID QUANTUM-CLASSICAL OPTIMIZATION FOR STRUCTURAL TRUSS DESIGN

JUNE 2025
  • PIONEERED A STRUCTURAL OPTIMIZATION FRAMEWORK FUSING QUANTUM ALGORITHMS WITH CLASSICAL METAHEURISTICS AND FINITE ELEMENT ANALYSIS (FEA).
  • SIGNIFICANTLY ENHANCED COMPUTATIONAL OPTIMIZATION PERFORMANCE AND SCALABILITY FOR RESOLVING COMPLEX STRUCTURAL ENGINEERING TASKS.
PROFESSIONAL EXPERIENCE

FOUNDING DIRECTOR, SOLAR PROGRAM (ACTING)

2024 – 2026 | HEMCO (MANA BATTERY) - PART-TIME
  • LED COMPREHENSIVE FEASIBILITY STUDIES, SITE ASSESSMENTS, AND COST-BENEFIT ANALYSES FOR CORPORATE SOLAR ENERGY INITIATIVES.
  • CONDUCTED RIGOROUS MARKET ANALYSIS TO IDENTIFY STRATEGIC SEGMENTS, COMPETITION, AND REGULATORY COMPLIANCE NEEDS.
  • DEVELOPED A CUSTOMIZED SOFTWARE TOOL FOR PRECISE SOLAR PANEL SIZING, PAYBACK ESTIMATIONS, AND ADVANCED FINANCIAL ANALYSIS.
  • PRESENTED ACTIONABLE, DATA-DRIVEN RECOMMENDATIONS TO THE EXECUTIVE BOARD, SIGNIFICANTLY ADVANCING ORGANIZATIONAL SUSTAINABILITY GOALS.
INTERNSHIP PROJECT

ALGEBRAIC MULTIGRID SOLVER FOR THREE-PHASE CFD

OCTOBER 2024
  • DEVELOPED AND IMPLEMENTED A HIGH-EFFICIENCY ALGEBRAIC MULTIGRID (AMG) LINEAR SOLVER TAILORED FOR LARGE-SCALE SYSTEMS IN COMPUTATIONAL FLUID DYNAMICS (CFD).
  • ENHANCED SIMULATION PRECISION AND COMPUTATIONAL THROUGHPUT THROUGH HIGHLY OPTIMIZED MATRIX OPERATIONS.
PROFESSIONAL EXPERIENCE

DATA SCIENCE & ANALYSIS

2021 – 2024 | FREELANCE & MOKARRAR INDUSTRIAL GROUP
  • ARCHITECTED PREDICTIVE MACHINE LEARNING MODELS CORRELATING FATIGUE AND VIBRATION DATA TO DRIVE PREDICTIVE MAINTENANCE STRATEGIES.
  • OPTIMIZED ORGANIZATIONAL SALES AND CREDIT PROCESSES BY DEPLOYING ML-BASED SEGMENTATION METHODOLOGIES AND INTERACTIVE DASHBOARDS.
  • AUTOMATED CRITICAL ENGINEERING WORKFLOWS USING PYTHON AND SQL, EFFECTIVELY REDUCING R&D TESTING DURATION BY UP TO 70%.
ACADEMIC INSTRUCTION

TEACHING ASSISTANT & PHYSICS INSTRUCTOR

2021 – PRESENT | AZAD UNIVERSITY & NODET HIGH SCHOOLS
  • DESIGN OF MACHINE ELEMENTS I (TA): SUPPORTED COURSEWORK, FACILITATED DISCUSSIONS ON CORE DESIGN PRINCIPLES, AND MENTORED UNDERGRADUATE STUDENTS (WINTER & FALL 2024).
  • PHYSICS INSTRUCTOR (NODET): INSTRUCTED ADVANCED PHYSICS LEVERAGING EXPERIMENTAL AND PROJECT-BASED PARADIGMS, FOSTERING ANALYTICAL PROBLEM-SOLVING AMONG GIFTED STUDENTS.
COMPUTATIONAL PROJECTS

ADVANCED ENGINEERING COMPUTATION & SIGNAL PROCESSING

2021 – 2023
  • 3D MOTION DESIGN: ENGINEERED KINEMATIC MOTION PROFILES FOR SHAKER TESTING USING SCIPY, SYMPY, AND MSC ADAMS (JUNE 2023).
  • SIGNAL PROCESSING: APPLIED DISCRETE FOURIER TRANSFORM AND GRADIENT DESCENT OPTIMIZATION ALGORITHMS TO DENOISE SIGNALS AND EXTRACT CRITICAL FREQUENCY FEATURES (JULY 2021).
  • MACHINE LEARNING: EXPLORED EARLY DIAGNOSIS OF ALZHEIMER'S DISEASE UTILIZING FOUNDATIONAL ML TECHNIQUES ON MEDICAL DATASETS (2017–2019).
3 / EDUCATION

EDUCATION

ACADEMIC PATH / RANKING / RESEARCH DIRECTION

MSC IN ENERGY SYSTEMS

K. N. TOOSI UNIVERSITY OF TECHNOLOGY | 2025 – PRESENT

FOCUSING ON SUSTAINABLE ENERGY SYSTEMS AND ADVANCED COMPUTATIONAL MODELING. GPA: 17.2/20

BSC IN MECHANICAL ENGINEERING

AZAD UNIVERSITY (SRBIAU) | 2021 – 2025

RANKED 1ST OUT OF 120 STUDENTS. ACTIVE MEMBER OF SCIENTIFIC ASSOCIATION. GPA: 18.77/20

4 / CONTACT

CONTACT

COLLABORATION / RESEARCH / ENGINEERING OPPORTUNITIES

LET'S CONNECT

I AM ALWAYS OPEN TO DISCUSSING RESEARCH COLLABORATIONS, ENGINEERING ANALYSIS, AND NEW OPPORTUNITIES IN ENERGY AND COMPUTATIONAL MECHANICS.

CORE INTERESTS

PHYSICS-INFORMED NEURAL NETWORKSGENERATIVE DESIGNSUSTAINABLE ENERGYMACHINE LEARNING IN MECHANICS

© 2026 TAHA TORBATI — INTERACTIVE RESUME