Amirkabir University of Technology
MindLab
Machine Intelligence
& Numerical Data
- Researchers
- 28
- PhD
- 7
- Areas
- 4
- Seminars
- 8
- ∂tu = DΔu + ru(1 − u)Fisher–KPP · cell invasion
- ∂tu + (u·∇)u = −∇p + νΔuNavier–Stokes · two-phase flow
- ∂tV + ½σ²S²∂SSV + rS∂SV − rV = 0Black–Scholes · option pricing
- dXt = μ(Xt)dt + σ(Xt)dWtStochastic DEs · Lévy models
- CDtαu = Δu + fFractional PDEs
- iħ∂tψ = −ħ²⁄2mΔψ + VψSchrödinger–Poisson
- ℒ(θ) = ‖𝒩[uθ]‖² + ‖uθ − g‖²∂ΩPhysics-informed networks
- −∇·(κ∇u) = f in ΩFinite & virtual elements
−∇ · (κ∇u) = f in Ωu = g on ∂Ω
∇ · σ(u) + b = 0σ(u) = λ tr(ε(u)) I + 2μ ε(u)
Our Researchers
A multidisciplinary team working at the intersection of
machine intelligence, numerical modeling, and real-world systems.
M. Amin GhoreyshiPhysics & EngineeringMSc student
Maedeh NematiPhysics & EngineeringMSc student
Mahya PashapourComputational BiologyMSc student
Mohaddeseh HeidariFinanceMSc student
Mohammad Mahdi HajiabbasiFinancephd student
Motahareh Shabani RahbarNeuroscienceMSc student
Pooria RostamiPhysics & EngineeringMSc student
Shila RezvaniComputational BiologyMSc student
Ulduz HeidaryFinanceMBA student · Finance
Zahra GhobadiFinanceMSc student
M. Soroush GhafariPhysics & EngineeringMSc graduate
Reza MasoumzadehPhysics & EngineeringMSc graduate
Atefeh SadeghiComputational BiologyPhD student
Baharak Hooshyar FarzinPhysics & EngineeringPhD student
Fatemeh MoavenComputational BiologyPhD student
Masood FarahaniPhysics & EngineeringPhD student
Mohammad Reza AhmadiFinancePhD candidate
Nima MohammadiNeurosciencePhD student
Zeynab BaralakPhysics & EngineeringPhD student
Akram KarimiFinanceMSc student
Elnaz RamezaniFinanceMSc student
Fateme LoghmanpourPhysics & EngineeringMSc student
Fatemeh Sadat TaqaviNeuroscienceMSc student
Hannaneh MolaeiComputational BiologyMSc student
Amirali Fakhari ZavarehComputational BiologyBSc student
Melika Taheri SoofiComputational BiologyBSc student
Parsa RahbariComputational BiologyBSc student
No researchers found.
Seminars
A series of talks and workshops on machine learning,
numerical modeling, and computational science.
Journal Club
Integration of diffusion and score-based models
Workshop
Practical workshop · Getting started with PyTorch and PINNs · Session 2
Workshop
Practical workshop · Getting started with PyTorch and PINNs · Session 1
Talk
Advanced Numerical Modeling of Fracture Mechanisms in Lithium-Ion Batteries During Charge/Discharge Cycles:Implementation Using FEniCS
Journal Club
Parameter identifiability and model selection for partial differential equation models of cell invasion
Journal Club
A Comprehensive Computational Model of Alzheimer's Disease: From Nano to Micro Scale
Journal Club
Comprehensive Assessment of Adverse Event Profiles Associated with Bispecific Antibodies in Multiple Myeloma
Journal Club
Fatigue failure theory for lithium diffusion induced fracture in lithium-ion battery electrode particles
No seminars found.
Contact
Get in touch with MIND Lab for collaboration, research
inquiries, or general information.