Aryan Golzaryan

My academic background in mechanical engineering at the master's level has equipped me with skills in mathematical modeling. My research interests are: 1. Physiological based pharmacokinetic (PBPK) modeling approaches, the concept of digital twins in medicine, personalized medicine, theranostics, the coupling of PBPK, quantitative systems pharmacology (QSP), and pharmacokinetic/pharmacodynamic (PK/PD) models with convection-diffusion-reaction (CDR) equations. 2. The application of Convolutional Neural Network Deep Learning (DL) and Vision Transformers (ViT) methodologies in the field of image processing in oncology. 3. Using mathematical models to achieve a comprehensive understanding of the tumor microenvironment and delivery of naniparticle into tumors.

Living in : Iran

Gender : MaleRace : Middle Eastern

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Educations

Mechanical EngineeringMaster'sKhaje Nassir Toosi University of Technology2023-09-30 Iran

Supervisor's name :Madjid Soltani

Title :

• Simultaneous investigation of imaging and drug delivery to a solid tumor using numerical simulation

Mechanical EngineeringBachelor'sUniversity of Guilan2020-11-26 Iran

Supervisor's name :Dr. Rouhollah Kazemi

Title :

• Analyzing natural and forced vibration of a homogeneous plate on an elastic foundation using the Galerkin method

Work Experiences

Internship

at GARMAGOSTAR.CO

Start : 10-May-2020

End : 20-Aug-2020

Teaching Assistant

at K. N. Toosi University

Start : 01-Feb-2022

End : 31-May-2023

Tutor

at Faradars.Co

Start : 10-Jan-2023

End : 12-Jul-2023

English Scores

IELTS03-Mar-2024

7/9Total

Reading :

6/9

Speaking :

7/9

Listening :

8.5/9

Writing :

6/9

Conferences

Your Presentation Title :

• An In Silico Study Quantifying the Effects of Reducing Salivary Gland Blood Flow on Tumor to Organ-at-risk Absorbed Dose Ratios

Conference Name :SNMMI

United States of America (USA)

2023

Your Presentation Title :

• Colorectal Polyp Localization: From Image Restoration to Real-time Detection with Deep Learning

Conference Name :IEEE

Hungary

2023

Your Presentation Title :

• Impact of metronomic radiopharmaceutical therapy on tumor and organ-at-risk absorbed doses: A PBPK modeling approach

Conference Name :EANM

Spain

2022

Journal Publications

Publication Title :

Personalized Metronomic Radiopharmaceutical Therapy: Injection Profile Optimization via Physiologically based Pharmacokinetic (PBPK) ModelingFirst author

Journal :

Scientific Reports

Link :

View Link

Publication Title :

Charge-Switchable Nanoparticles to Enhance Tumor Penetration and AccumulationSecond author

Journal :

European Journal of Pharmaceutics and Biopharmaceutics

Link :

View Link

References

Madjid Soltani

msoltani@uwaterloo.ca

Arman Rahmim

arman.rahmim@ubc.ca

Farshad M.Kashkooli

fmoradik@torontomu.ca