Sarina Heshmati

Sarina Heshmati

Computer Science Student

Computer Science Student

Open to Research Collaborations

Hi, I'm Sarina.

I am a final-year Computer Science major at Amirkabir University of Technology (Tehran Polytechnic). I currently hold the first rank among the Fall 2021CS entrants, with a GPA of 3.97 out of 4 (19.11 out of 20). I am also a passionate and dedicated researcher in the field of deep learning. Research and learning bring me the most joy and are integral to my lifestyle. Alongside my research, I have extensive and rewarding experience as a teaching assistant, which has deepened my understanding of fundamental topics in my field and given me the opportunity to help bright minds in their academic journey. I also enjoy practicing yoga and deepening my connection with my mind and body.

Research Interests

• AI in Healthcare

• Foundation Models

• Reliable and Interpretable AI Models

• Bioinformatics

• Computational Social Science

• Computational Psycholinguistics

My Skills

Python

C++ & C

Java

Matlab

LATEX

PyTorch

Scikit-Learn

Pandas

Keras

NumPy

SeaBorn

TensorFlow

SpaCy

Hugging Face Transformers

PostgreSQL

Flask

REST APIs

Django

Docker

Deep Learning

Experience

Research Experience

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques Jul 2024 - Present

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques

Utilizing Kolmogorov-Arnold Networks for ADHD Detection: A Novel Approach

Utilizing Kolmogorov-Arnold Networks for ADHD Detection: A Novel Approach

Utilizing Kolmogorov-Arnold Networks for ADHD Detection: A Novel Approach

A Comprehensive Survey on Data Balancing Techniques

A Comprehensive Survey on Data Balancing Techniques

A Comprehensive Survey on Data Balancing Techniques

Predicting Remaining Useful Life based on Anomaly Detection

Predicting Remaining Useful Life based on Anomaly Detection

Predicting Remaining Useful Life based on Anomaly Detection

Unified Score-Based and Diffusion Modeling via Stochastic Differential Equations

Unified Score-Based and Diffusion Modeling via Stochastic Differential Equations

Unified Score-Based and Diffusion Modeling via Stochastic Differential Equations

Teaching Assistant Experience

Deep Learning (Graduate Course)

Deep Learning (Graduate Course)

Deep Learning (Graduate Course)

Machine Learning

Machine Learning

Machine Learning

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

Numerical Linear Algebra

Numerical Linear Algebra

Numerical Linear Algebra

Foundation of Numerical Analysis

Foundation of Numerical Analysis

Foundation of Numerical Analysis

Image Processing

Image Processing

Image Processing

Principles of Operating Systems

Principles of Operating Systems

Principles of Operating Systems

Advanced Programming

Advanced Programming

Advanced Programming

Linear Algebra

Linear Algebra

Linear Algebra

Data Structures and Algorithms

Data Structures and Algorithms

Data Structures and Algorithms

Intership

Back End Developer Intern

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques Jul 2024 - Present

Back End Developer Intern

Projects

A PSO-Based Algorithm for Finding Gapped Motifs in DNA Sequences

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques Jul 2024 - Present

A PSO-Based Algorithm for Finding Gapped Motifs in DNA Sequences

Comparing Embedding Spaces Across Different Modalities

Comparing Embedding Spaces Across Different Modalities

Comparing Embedding Spaces Across Different Modalities

Generative Adversarial Network for MNIST Pictures

Generative Adversarial Network for MNIST Pictures

Generative Adversarial Network for MNIST Pictures

Text Clustering and Topic Extraction from COVID-19 Research Papers

Text Clustering and Topic Extraction from COVID-19 Research Papers

Text Clustering and Topic Extraction from COVID-19 Research Papers

Rainfall Prediction using Data Mining

Rainfall Prediction using Data Mining

Rainfall Prediction using Data Mining

AI Gamesolver

AI Gamesolver

AI Gamesolver

Test Scores

IELTS Academics

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques Jul 2024 - Present

IELTS Academics

GRE General Test

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques Jul 2024 - Present

GRE General Test

Courses

Deep Learning

Detection and Classification of Psychiatric Disorders Using EEG Signals: Integrating Foundation Models with Deep Learning Techniques Jul 2024 - Present

Deep Learning

Neural Network

Neural Network

Neural Network

Data Mining

Data Mining

Data Mining

Bioinformatics

Bioinformatics

Bioinformatics

Artificial Intelligence

Artificial Intelligence

Artificial Intelligence

Cryptography

Cryptography

Cryptography

Numerical Linear Algebra

Numerical Linear Algebra

Numerical Linear Algebra

Extracurricular Activities

Lecturer, DAI-DAY: Amirkabir Data Mining and Artificial Intelligence Day

Lecturer, DAI-DAY: Amirkabir Data Mining and Artificial Intelligence Day

Lecturer, DAI-DAY: Amirkabir Data Mining and Artificial Intelligence Day

Computer Science Conference Volunteer Executive Member

Computer Science Conference Volunteer Executive Member

Computer Science Conference Volunteer Executive Member

Honors & Awards

  • Ranked among the top three Fall 2021 CS entrants.

  • Achieved top 0.5% place in Nationwide University Entrance Exam for B.Sc. in Math. and Engineering (∼ 130,000 applicants), Iran, 2021