Ali Mikaeili - AI Researcher & Data Scientist

Education

University of Tehran

Master of Science, Artificial Intelligence and Robotics

2023 - Present

Thesis: Enhancing medical image Registration for Neurosurgery using Deep fusion algorithms

Ardebil University

Bachelor of Engineering, Computer Engineering

2020 - 2023

Thesis: Predicting Diabetes using Machine learning algorithms

Ardebil University

Bachelor's in Educational Sciences

2017 - 2021

Thesis: Studied human learning processes and development, combining knowledge of educational sciences.

Work Experience

Hamrahe Aval (MCI), Mobile Communication Company of Iran

Data Analyst, Image Analysis Group, Research and Development Department

2023 - Present

Engaged in the development of Text-to-Speech (TTS) and Emotion Speech Recognition (ESR) projects for the GITEX exhibition.
Working on architectures for Persian Text to speech models.
Product Manager for the Persian-Interactive Dog Robot Project.

University of Tehran

Teaching Assistant, Dept. of Computer Science & Electrical Engineering

2023 - 2024

Head of Four Research Teams in AI-Driven Medical Imaging and Data Projects.
Assisted in teaching Statistical Inference (Dr. Abolghasemi Dehaghani).
Assisted in teaching Artificial Intelligence (Prof. Mohammad Khoshnevisan).

Ardebil University

Teaching Assistant, Dept. of Computer Science & Engineering

2020 - 2023

Assisted in teaching Data Structures and Algorithms.
Contributed to the Artificial Intelligence Course.
Supported the Operating System Course.

Education

Elementary School Teacher

2021 - 2023

Taught first and second grades (2021) and fifth and sixth grades (2022).
Developed and implemented engaging lesson plans.
Fostered a positive and inclusive classroom environment.

Skills

AI

NLP LLM RAG Bert GAN Transformers Diffusion models Image processing Digital Twin

Programming Languages

Python Java Kotlin C C++

Machine Learning Tools

PyTorch Keras TensorFlow NumPy Pandas Scikit-Learn Matplotlib

Other Skills

Git LaTeX Linux Flutter Docker

Languages

English (Advanced) Persian (Native) Azerbaijani (Native) Turkish (Advanced)

Publications

View All Publications on Google Scholar

Attention-Based Segmentation of Brain Tumors Using Feature Level Fusion and UNet Architecture

Ali Mikaeili Barzili, Behzad Moshiri

2025 Fifth National and the First International Conference on Applied Research in Electrical Engineering (AREE), February 4, 2025.

View Publication on IEEE Xplore

Review of the Role of Internet of Things in Healthcare

Mikaeili Barzili, Ali & Azimi Moghadam, Ramin, 2021

Twelfth National Conference on Computer Science and Information Technology Engineering, Babol

View Publication

Projects

SAM on Water Bodies Dataset

Implemented the SAM (Segment Anything Model) on the Water Bodies Dataset, achieving precise segmentation results for diverse water bodies.

Computer Vision Segmentation Deep Learning

Suicidal Thoughts Prediction

Developed a predictive model for identifying suicidal thoughts in social network users based on their tweet content, contributing to mental health awareness and intervention efforts.

NLP Classification Mental Health

Speech Emotion Recognition

Engineered a robust Speech Emotion Recognition system using the Shemo Persian speech emotion detection database, enabling accurate classification of emotional states from speech signals.

Audio Processing Emotion Recognition Persian

BERT for Persian Language

Conducted fine-tuning of the BERT model tailored for the Persian language, enhancing its performance in natural language processing tasks specific to Persian text.

NLP BERT Persian

GAN for MNIST

Employed Generative Adversarial Networks (GAN) to generate a synthetic version of the MNIST Dataset, facilitating research and development in computer vision and machine learning.

GAN Image Generation Computer Vision

Credit Card Fraud Detection

Implemented Adaptive Synthetic Sampling techniques to improve the effectiveness of Credit Card Fraud Detection, enhancing the security measures in financial transactions.

Machine Learning Fraud Detection Financial Security