Danial Pahlavan Mosavari

PhD Student in Artificial Intelligence

Contact Information

About Me

Summary

PhD student in Artificial Intelligence at Azad University, with a strong background in AI Engineering and Robotics from Ferdowsi University of Mashhad. Experienced in Python, C++, machine learning, computer vision, and robotics. Creative problem-solver passionate about leveraging technology for real-world challenges. Excellent communicator and team player.

Experience

Web Mining of PDF Scientific Papers – Ferdowsi University of Mashhad

Feb 2022 – Apr 2022, Mashhad

  • Developed a tool to extract key information from Farsi scientific papers in PDF format.
  • Created a program to generate outputs with relevant details such as titles, authors, and keywords.
  • Utilized web scraping and data mining techniques to extract data from PDF files.
  • Employed Python and libraries such as PyPDF2 to implement the project.
  • Applied OCR to convert non-copyable Persian language articles into machine-readable text.

Machine Learning for Embedded Systems – Ferdowsi University of Mashhad

Nov 2021 – Dec 2021, Mashhad

  • Developed and compiled C code for machine learning applications on embedded systems using Ubuntu.
  • Utilized GitHub for collaborative project development with team members.
  • Implemented AI models on micro-controllers, gaining practical embedded system skills.
  • Researched AI models and their application in embedded systems.
  • Contributed to team efforts in designing and implementing an AI-based project on a micro-controller platform.

Watermarking and Steganography – Ferdowsi University of Mashhad

2020, Mashhad

  • Designed and implemented an image watermarking system using DCT and DWT techniques.
  • Studied the robustness and imperceptibility of different watermarking techniques under various attacks.
  • Implemented a steganography system for hiding secret messages in images using LSB and DCT techniques.
  • Conducted comparative analysis of different steganography techniques and their robustness against various attacks.
  • Implemented the project using Python on Ubuntu Linux.

Evolutionary Computing – Ferdowsi University of Mashhad

2019, Mashhad

  • Studied the performance of evolutionary algorithms, including genetic algorithms, particle swarm optimization, and differential evolution, in solving various optimization problems.
  • Implemented an evolutionary algorithm to solve the traveling salesman problem.
  • Analyzed convergence properties, runtime, and performance of evolutionary algorithms under different settings.

Image Processing – Ferdowsi University of Mashhad

2018, Mashhad

  • Developed a system for image enhancement using histogram equalization and local contrast stretching.
  • Implemented a Sobel edge detection algorithm to detect and highlight edges in images.
  • Designed a color segmentation algorithm to extract specific regions of interest from images.
  • Created a system for image denoising using Gaussian and median filters.
  • Implemented an image stitching system to create panoramic images from overlapping images.

Education

Ph.D. in Artificial Intelligence – Azad University

Oct 2023 – Present, Mashhad

  • Specialization in Natural Language Processing (NLP) with a focus on Retrieval-Augmented Generation (RAG).

M.Eng. in AI and Robotics – Ferdowsi University of Mashhad

Sept 2019 – Nov 2022, Mashhad

  • Graduated with a GPA of 17.94/20
  • Elected by peers as class leader for the M.Sc. program.
  • Proficient in utilizing online tools to streamline communication and increase productivity.
  • Selected Courses: Evolutionary Computing, Pattern Recognition, Neural Networks, Advanced AI, Image Processing, Information Hiding, Embedded Real-Time Systems Design, Search Engines, Web Mining.

Bachelor’s in Information Technology – Sadjad University of Mashhad

Sept 2013 – Sept 2018, Mashhad

  • Completed coursework in programming languages such as Python and C++.
  • Studied and worked with database management systems, including PostgreSQL.
  • Gained knowledge of networking concepts and protocols, including TCP/IP and DNS.

Skills

  • Programming: Python (Experienced), C++ (Familiar)
  • Frameworks & Libraries: PyTorch, TensorFlow, OpenCV, scikit-learn, Keras (Familiar)
  • Miscellaneous: Linux, Shell (Bash/Zsh), LaTeX, Microsoft Office, Firebase, Git, Power BI, Excel, GitHub, GitLab, Deep Learning, NLP, Microsoft Visio, SSIS, SSRS, Cloudera, Spark, Hadoop (Familiar)
  • Databases & Data Visualization: SQL Server, MySQL, Power BI, T-SQL, ETL/ELT, PL/SQL, MongoDB (Familiar)
  • Soft Skills: Time Management, Teamwork, Problem-Solving, Documentation, Engaging Presentations, ETL (Data Warehousing)

Publications

  • Conference Paper: "A review of Article multi-agent reinforcement learning methods In Farsi"
    Danial Pahlavan, Abed Hosseini, Mahboobeh Houshmand
    The Second International Conference on Electrical, Computer, Mechanical and Artificial Intelligence Engineering (Dec. 2022)
  • Medium Article: "Recursive Algorithms"
    Danial Pahlavan, 2022

Languages

  • English – Professional proficiency
  • Persian – Native proficiency