About

A highly motivated and passionate computer science graduate with extensive knowledge and practical experience in machine learning algorithms, particularly in computer vision and natural language processing. Skilled in developing and implementing advanced AI models and algorithms, particularly for healthcare and biomedical applications, including medical imaging and disease diagnosis. Seeking a Ph.D. position to advance my research in AI and its applications in healthcare, with a focus on improving clinical outcomes through innovative technology solutions.

Education

• Master's in Computer Science

  • University of Mazandaran, Babolsar, Iran
  • Computer Science Department
  • Sep 2018 - Aug 2020
  • Courses: Machine Learning, Deep Learning, Optimization, Game Theory
  • Projects: Corona virus detection using x-ray images, mask detection in real-time, smile detection in real-time, object tracking using OpenCV, fire detection in real-time, facial emotion detection with tensorflow/keras
  • Honors: Best thesis award, Teaching assistant for algorithm design and machine learning
  • GPA: 4/4
• Bachelor in Computer Science

  • University of Bojnord, Iran
  • Computer Science Department
  • Sep 2014 - Sep 2018
  • Courses: Advanced Programming, Algorithm Design, Data Structure, Linear Algebra, Computer Networks
  • Honors: Top Student Award

Academic Projects

• Image segmentation: Developed an image segmentation system to extract and highlight specific regions of interest such as tumor in medical image
• Deep Convolutional Autoencoder: Developed a deep convolutional autoencoder to remove noise from images while preserving essential features, achieving 90% accuracy
• Machine Translation: Implemented a machine translation system using RNN and LSTM with TensorFlow/Keras on an English- Spanish dataset , achieving 73% accuracy
• Sentiment Analysis: Developed a sentiment analysis model using Bidirectional LSTM Tensorflow/Keras on an Amazon dataset, achieving 88% accuracy
• Language Model: Developed a language model predicting next word using Encoder-Decoder structure on custom dataset.
• Age-Gender Detection: Developed an age-gender detection using CNN-based model predicting age and gender in real-time, achieving 84% accuracy

Research Interests

• Machine Learning
• Deep Learning
• Natural Languages Processing
• Large Language Models
• Computer Vision
• Data Science
• AI in Healthcare
• AI in Biomedical Research

Technical Skills

• Programming Languages

  • Python
  • Java
  • C++
• Machine Learning Frameworks

  • TensorFlow
  • Keras
  • Scikit-learn
• Data Analysis Libraries

  • Numpy
  • Pandas
  • Matplotlib
• Languages

  • English: Fluent
  • Persian: Native

Publications

• S.Hesaraki, A.S.Mohamad, M.Eisaei "Breast cancer ultrasound image segmentation using improved 3DUNET++", Elsevier Wfumbo, 'In revision'
• M.Eisaei, R.Jahanshahi "Prediction and diagnosis of melanoma and basal cell carcinoma skin diseases using deep learning methods and VGG-16", Semnan University journal , 2022, XEEZ-HBCBK
• M.Eisaei, R.Nadimi "An improved envy-free cake cutting protocol for four agents", University of Mazandaran, 2020. Thesis
• M.Eisaei, R.Nadimi "New criteria for fair allocation of indivisible resources" , Iran University of Science & Technology journal, Game theory 2019

Teaching Experiences

Tehran Institute of Technology, Gorgan, Iran

Since 2021

• Guided students in developing AI models and healthcare applications, such as disease prediction and medical image analysis
• Developed and delivered comprehensive course materials on python programming and advanced machine learning models
• Taught python programming and machine learning courses focusing on neural network models
• Led lectures and hands-on lab sessions for over 100 students, focusing on practical applications of AI and ML
• Mentored students on their academic projects and guided in setting up their AI-based startups
• Organized and planned workshops on the latest advancements in natural language processing and computer vision, reviewing and discussing up-to-date research articles

Filoger, Tehran, Iran

Since 2022

Golestan University of Medical Science, Gorgan, Iran

• Taught Python programming and Machine Learning courses such as neural network-based models
• Conducted workshops on state-of-art NLP techniques, including discussion on recent papers.
• Mentored students on computer vision projects-the-art NLP techniques, including discussion on recent papers.

Workshops

• Corona virus detection based on MRI chest image: Presented article and programmed neural network-based models such as artificial neural network and convolutional neural network for detecting corona virus using MRI chest image at Golestan University of Medical Science, (Jan 31, 2024)
• Attention is all you need: Presented transformers structure and transformers-based models such as GPT and BERT at Filoger artificial intelligence Group (June 8, 2023)
• Facial emotion recognition: Presented and coded CNN-based model Vgg16 and Vgg19 for recognizing humans emotion in real-time at Filoger artificial intelligence Group (Aug 13, 2023)
• AutoEncoder: Provided a full explanation and implementation of an autoencoder for image denoising at Filoger artificial intelligence Group (Aug 15,2023)

Certificates

• Computer Science 50, Introduction to Computer Science (Harvard University, Aug 2021, Coursera)
• Machine Learning Algorithms (Stanford University, Nov 2021, Coursera)
• Machine Learning Foundations: A Case Study Approach (Washington University, Dec 2021, Coursera)