About Me 🧑‍💻

Introduction 📘

Hello! I’m Mobin Nesari, a dedicated computer science student and researcher with a keen interest in artificial intelligence, machine learning, and computational neuroscience. I just finished my Bachelor of Science in Computer Science at Shahid Beheshti University in Tehran, where I have excelled academically as the top student in my department.

Education 🎓

Shahid Beheshti University, Tehran, Iran

BSc in Computer Science (Nov 2020 - Jul 2024)

• Cumulative GPA: 19.00/20
• Top Student in the department

Allame Helli High School, Tehran, Iran

Diploma of Mathematics and Physics (Sep 2017 - Aug 2020)

• Graduated with GPA: 19.95/20
• Attended the oldest National Organization for Development of Exceptional Talents (NODET) high school

Research Interests 🔬

• Artificial Intelligence: Machine Learning, Reinforcement Learning, Meta-Learning
• Deep Learning: Auto Encoders, Variational Auto Encoders, Deep Reinforcement Learning
• Neuroscience: Computational Neuroscience, Synaptic Plasticity, Improving Learning Procedures

Publications 📄

• Exploring Social Ties in Informal Conversations about ASD and ADHD: A Graph-Based Approach
  • IEEE COINS 2023 (Tier A)
  • Naghme Jamali, Mobin Nesari, Zahra Rezvani (Dec 2021 - Mar 2023)
  • Using social engineering to predict news flow in society and recommend tags for specific texts.
  • Link to paper

Seminars & Lectures 📚

• Deep Learning Course, Shahid Beheshti University (Nov 2023)
• Designing Custom Reinforcement Learning Environments Course, Loop Academy (Sep 2023)
• Reinforcement Learning Course, Loop Academy (Jul 2023)
• Introduction To Meta-Learning, Shahid Beheshti University (Apr 2023)

Projects 💻

• Spike Back-Propagation Spiking Neural Network
  • Thesis Project, Supervisor: Dr. Saeed Reza Kheradpisheh (Sep 2023 - Present)
  • Using spike mechanisms to back-propagate error in a spiking neural network for neuromorphic chips.
• Comparative Analysis of Artificial and Natural Learning: A Reinforcement Model Approach Using the Steinmetz Dataset
  • Neuromatch Academy, Computational Neuroscience (Jul 2023 - Aug 2023)
  • Comparative analysis to improve artificial models.
• SynapticFlow
  • Individual Group (Feb 2023 - Jul 2023)
  • Implemented a neuroscience package to simulate neural nodes and populations.
  • GitHub Page
• Famous Cipher Algorithms Package (FCA)
  • Individual Group (Feb 2023 - Jul 2023)
  • Implemented and enhanced classic cipher algorithms in Python.
  • GitHub Page
• Digital Image Processing Projects
  • (Feb 2023 - Jun 2023)
  • Various image processing tasks including transformation, indexing, cartonization, noise removal, hybrid images, and more.
  • GitHub Page
• Machine Learning and Deep Learning Projects
  • (Sep 2022 - Feb 2023)
  • Worked on various tasks using fully connected layers, convolutional neural networks, variational auto encoders, and recurrent neural networks.

Teaching Experience 🧑‍🏫

• Computer Vision Project TA, Neuromatch Academy (Jul 2024)
• Artificial and Deep Neural Networks, Teaching Assistant to Dr. Kheradpisheh (Jan 2023 - Jun 2023, Jan 2024 - Jun 2024)
• Advanced Programming, Chief Teaching Assistant to Dr. Kheradpisheh (Jan 2022 - Jun 2022, Jan - Jun 2023)
• Basic Programming, Teaching Assistant to Dr. Kheradpisheh (Oct 2021 - Dec 2021, Oct 2022 - Jan 2023)
• Fundamentals of Numerical Analysis, Teaching Assistant to Dr. Mostafa Jani (Jan 2023 - Jun 2023)
• Fundamentals of Logic, Teaching Assistant to Dr. Hadi Farahani (Nov 2023 - Feb 2024)

Professional Experience 💼

• Machine Learning Engineer and Tutor, Loop Academy (Mar 2023 - Present)
  • Tutor for Meta Learning and Reinforcement Learning courses.
  • Worked on various machine learning projects.
• Researcher and Tutor, Artificial Intelligence and Scientific Computing Research Lab at SBU (Jun 2022 - Jan 2023)
  • Junior researcher focusing on machine learning approaches towards numerical analysis.
  • Tutor for unsupervised machine learning.
• Research Intern, IPM - Institute for Research in Fundamental Sciences (May 2022 - Sep 2022)
  • Research assistant on several papers related to social ties in informal conversations about ASD and ADHD.

Achievements 🏆

• Winner of the Most Creative Idea Award, 8th-grade researcher’s exhibition (2016)
• Winner, Best Scholar Video Game, Tehran junior high schools (2016/17)
• Winner, Best Researcher’s Exhibition Staff (2016/17)
• Winner, Fourth Scholar Short Movies Festival (2017)
• Second Place, First Samcode Programming Competition in Data Mining (2017)
• Third Place, First Samcode Programming Competition in Picture Processing (2017)
• Full Scholarship for Bachelor’s Degree, Accepted into top 5 universities in Iran (2020)
• Thirty-Third Place, Code Cup Anniversary Data Mining and Data Analysis Competition (2022)

Skills 🛠️

Programming Languages

Skill	Proficiency
Python
Java
C/C++
HTML/CSS
JavaScript
Unity
C#
SQL

Frameworks and Libraries

Skill	Proficiency
Pandas
PyTorch
NumPy
Scikit-learn
SciPy
TensorFlow

Miscellaneous

Skill	Proficiency
Linux
Shell (Bash/ZSH)
Network
Parallel Computing
LATEX
Tableau
Git

Soft Skills

Skill	Proficiency
Time Management
Teamwork
Team Management
Problem-solving
Documentation
Teaching

Languages 🌐

• Persian (Native proficiency)
• English (Advanced proficiency)
• Turkish (Bilingual proficiency)

Contact Information 📞

• Email: mobinnesari81@gmail.com
• GitHub: github.com/MobinNesari81
• LinkedIn: linkedin.com/in/mobin-nesari

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Thank you for visiting my page! Feel free to reach out if you have any questions or collaboration ideas.