Hooman Bahrdo

Certainly, I've revised your passage into a more polished and engaging bio: Greetings, I'm Hooman Bahrdo, a dedicated master's student pursuing Data Science for Life Sciences at Hanze University of Applied Sciences. With a strong academic foundation and a passion for data-driven solutions, here's a glimpse of my journey so far: I'm currently interning at the esteemed University Medical Center Groningen (UMCG) within the Radiotherapy department. My primary focus is the development of an advanced deep learning model to predict potential side effects of radiation therapy for patients dealing with head and neck cancer. Prior to my current master's program, I earned a bachelor's degree in physics and excelled in my first master's program in nuclear physics, securing the top rank. During this period, I made significant contributions by calculating the energy of neutron star crusts, utilizing an innovative technique known as LOCV. My experience extends beyond the classroom as I've served as both a teaching and research assistant. I've actively participated in a variety of research endeavors, often collaborating with diverse groups. For instance, I delved into the molecular-level prediction of mutation after radiation therapy, employing GEANT4 simulation language and Python. During my second master's journey at Hanze University of Applied Sciences, I was part of two distinct research groups. One explored the impact of dehydration on cognitive abilities, while the other investigated the optimal pipeline for colorizing images produced by an X-ray microscope, enhancing our understanding of cellular structures. My diverse background fuels my interest in a wide range of subjects. However, my primary areas of fascination lie at the intersection of physics, particularly nuclear physics, and machine/deep learning within the realm of radiation therapy. I am passionate about using data science for prediction and simulation. Furthermore, I'm intrigued by the burgeoning field of quantum machine learning, exploring the applications of physics, specifically quantum physics, in the realm of machine and deep learning. I'm excited to connect, collaborate, and continue my journey in these captivating areas of study and research. Let's explore opportunities to work together or engage in insightful discussions on these fascinating subjects.

Living in : Netherlands

Gender : MaleRace : Middle Eastern

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Academic Profile

Posts

Contact Information

-Email

Hooman BahrdoSkype ID

HoomanBahrdoApplyChance Link

Educations

Nuclear PhysicsMaster'sIsfahan University of Technology2018-12-31 Iran

Supervisor's name :Azar Tafrihi

Title :

A study of the asymmetric nucleonic matter in the periodic box.

Certificate

Biomedical Data Science And InformaticsMaster'sHanze University Groningen2024-02-29 Netherlands

Supervisor's name :Lisanne van Dijk

Title :

Enhancing Late Xerostomia Prediction in Head and Neck Cancer patients with Deep Learning Models Using In-Treatment CT Data

PhysicsBachelor'sIsfahan University of Technology2016-08-31 Iran

Supervisor's name :Maryam Hasanvand

Title :

Gamma ray spectroscopy and learning related software.

Certificate

Work Experiences

Research Assistant

at Behbahan K.A University

I am currently working in this role

Teacher Assistant

at Hanze University

I am currently working in this role

teacher assistant

at Isfahan University of Tec

Start : 31-Jan-2019

End : 31-May-2019

Teacher Assistant

at Isfahan University of tec

Start : 31-Aug-2019

End : 27-Jan-2020

English Scores

TOEFL11-Mar-2022

99/120Total

Reading :

24/30

Listening :

29/30

Speaking :

23/30

Writing :

23/30

English Certificate (TOEFL)

Journal Publications

Publication Title :

The LOCV asymmetric nucleonic matter in the periodic boxesFirst author

Journal :

European Physical Journal A

Link :

View Link

Research Keywords

Deep Learning

Radiation Therapy

Quantum physics

Simulation

machine learning

Nuclear Physics

Data Analysing

Prediction

Awards

First Rank Student in UniversityMaster

Kum LaudeDistinct std.2024-02-29