Hi, I’m Nasrin!


About Me


I am a Machine Learning Contractor at Hearts for Hearing, where I apply my skills in classification, and predictive modeling to support the diagnosis and treatment of hearing loss. I am also a PhD Candidate in Electrical and Computer Engineering at the University of Oklahoma, with a focus on Medical Imaging Informatics and Artificial Neural Networks.

In addition, I am the Corporate Outreach Chair at the Society of Women Engineers, where I promote the participation and advancement of women in engineering and technology. I also teach Python courses at CodeWorkshop, where I share my knowledge and experience in data visualization, analytics, and deep learning frameworks.


Education


University of Oklahoma

PhD in Electrical and Computer Engineering

2022 – Present

East West University

MS in Computer Science and Engineering

2018 – 2019

Daffodil International University

BSc in Electronics and Telecommunication Engineering

2007-2012


Work Experiences



Publications and Projects

Conference Paper

Apriori-backed Fuzzy Unification and Statistical Inference in Feature Reduction: An Application in Prognosis of Autism.

Journal

Prediction of Academic Performance Applying NNs: A Focus on Statistical Feature-Shedding and Lifestyle.

Project

DNN Approach: Detection of Autism Spectrum Disorder Applying Deep Neural Network.

Thesis

Acoustic Echo Cancellation for the Advancement in Telecommunication.

Project

EEG data EEG-driven Machine Learning for the classification of stroke and healthy subjects.

Project

Classification of stroke patient from gait cycle using traditional ML algorithm.

Project

Implemented UNet architecture to segment brain tumors from MRI images.

Project

Automatic Breast Tumor Segmentation and Classification: A Deep Learning Approach.


Licenses & certifications



Honors and Awards



Leadership



Professional Memberships


IAENG

IAENG is a non-profit international association for engineers and scientists, As an active member, I get the opportunity to promote the
interactions between engineers, advancing the application of engineering techniques from academics to the industry.

IEEE- Institute of Electrical and Electronics Engineers

I am a member of IEEE of their Oklahoma section.

Data Institute for Societal Challenges (DISC)

DISC develops and grows convergent research teams dedicated to solving local to global-scale challenges.

Women who code.

Empowering diverse women to excel in technology career.

Girls who code

Empowering women engineering students to excel in programming and technical industry.

OU AI/ML Club

OU AI aims to create a platform for students to learn and be involved in AI and ML through events with industry guest speakers, workshops, conferences, and projects

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