Farhad Abedinzadeh torghabeh

Passionate about improving lives through biomedical engineering, I chose this field to fulfill my lifelong desire to help others. As a Senior Biomedical Engineer focusing on programming, I have successfully completed numerous freelance projects over the past three years. My expertise lies in data analysis, image processing, and signal processing, complemented by a deep understanding of programming languages such as Python and MATLAB. One of my fundamental interests is leveraging programming to develop advanced diagnosis and prediction systems for various diseases. By harnessing my data analysis and signal processing skills, I aim to create innovative solutions that enhance patient care and outcomes. In addition to my technical capabilities, I have a solid technological background and excel in developing computer-aided design systems for biomedical engineering applications. By combining signal processing techniques with machine learning algorithms, I have successfully contributed to advancing this field. What truly excites me is the realm of Deep Learning. Its potential to revolutionize healthcare and improve patient outcomes is immense. I am constantly driven to expand my knowledge and expertise in this domain, actively seeking further opportunities to develop my skills. I firmly believe consistency is the key to success throughout my journey. I have achieved significant milestones in my career by maintaining a steadfast approach and consistently delivering high-quality results. To further enrich my knowledge and acquire new experiences, I am now preparing to embark on a challenging and rewarding endeavor by pursuing a Ph.D. in Biomedical Engineering. This will enable me to delve deeper into research, contribute to cutting-edge advancements, and make a lasting impact. If you seek a highly motivated and dedicated biomedical engineer with expertise in data analysis, image processing, and signal processing, I invite you to connect with me. Let's collaborate and drive innovation in biomedical engineering to improve patient care.

Living in : Iran

Gender : MaleRace : East Asian

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Academic Profile

Posts

Contact Information

-Email

efeeae03-c6e5-48fb-b615-f70f01d4ee12ApplyChance Link

Educations

Biomedical EngineeringMaster'sIslamic Azad University, Mashhad2023-09-10 Iran

Title :

Detection & Prediction of FoG Using Multimodality Data and Deep Learning Algorithms

BiomaterialBachelor'sSadjad Institute of Higher Education Mashhad2020-11-10 Iran

Supervisor's name :Dr.ghazale sarbishei

Title :

Kidney stone diagnosis in medical images using Image Processing and neural networks

Work Experiences

Venture Capital Analyst

at Razavi HighTech Industrie

I am currently working in this role

Research Assistant

at Islamic Azad University

I am currently working in this role

English Scores

IELTS23-Oct-2024

7/9Total

Reading :

7/9

Speaking :

7/9

Listening :

7.5/9

Writing :

7/9

Conferences

Your Presentation Title :

EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees

Conference Name :13th ICCKE

Iran

2023

Your Presentation Title :

An Efficient Approach for Breast Abnormality Detection through High-Level features of Thermography Images

Conference Name :13th ICCKE

Iran

2023

Journal Publications

Publication Title :

Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority votingFirst author

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Publication Title :

Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking ValueSecond author

Journal :

Neuroinformatics

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Publication Title :

A Pre-Processing Free Mental State Detection Model Suitable for Real-Time ApplicationsFirst author

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Publication Title :

A Deep Convertible Approach in Automated Diagnosis of Neurodegenerative Diseases Using Gait SignalSecond author

Journal :

Healthcare Informatics Research

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Publication Title :

Simultaneous Time-Frequency Analysis of Gait Signals of Both Legs in Classifying Neurodegenerative DiseasesFirst author

Journal :

Gait and Posture

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Publication Title :

Crude Oil Price Forecasting Using K-means Clustering and LSTM Model Enhanced by Dense-Sparse-Dense StrategySecond author

Journal :

Big Data

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Publication Title :

Enhancing Multi-class Diabetic Retinopathy Detection Using Tuned Hyper-parameters and Modified Deep Transfer LearningSecond author

Journal :

Multimedia Tools and Applications

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Publication Title :

An Efficient Tool for Parkinson’s Disease Detection and Severity Grading Based on Time-Frequency and Fuzzy Features of Cumulative Gait Signals through Improved LSTM NetworksFirst author

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Publication Title :

Hybrid Deep Transfer Learning Based Early Diagnosis of Autism Spectrum Disorder Using Scalogram Representation of Electroencephalography SignalsFirst author

Journal :

Medical and Biological Engineering and Computing

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Publication Title :

Potential Biomarker for Early Detection of ADHD Using Phase-Based Brain Connectivity and Graph TheoryFirst author

Journal :

Physical and Engineering Sciences in Medicine

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Publication Title :

Auto-UFSTool: An Automatic Unsupervised Feature Selection Toolbox for MATLABFirst author

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Publication Title :

Deep Learning-Based Brain Tumor Segmentation in MRI Images: A MobileNetV2-DeepLabv3+ ApproachFirst author

Journal :

Journal of Medical Physics

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Publication Title :

EEG-Based Effective Connectivity Analysis for ADHD Detection Using Color-Coded Granger-Causality Images and Custom Convolutional Neural NetworkFirst author

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Publication Title :

Effectiveness of Learning Rate in Dementia Severity Prediction Using VGG16First author

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Research Keywords

NeuroScience

computational neuroscience

signal processing

brain connectivity