Parsa is a dedicated professional with a Bachelor of Science degree in Computer Engineering, specializing in Software Engineering and a profound focus on Data Processing. While his academic foundation lies in Computer Engineering, Parsa's true expertise extends into Theoretical Computer Science.

Parsa has a keen interest in areas such as Data Structures, Design and Analysis of Algorithms, Graph Theory, and Complexity Theory. His research interest spans various subcategories within the algorithms domain, including Combinatorial Algorithms, Online Algorithms, Graph Algorithms, Graph Mining, Social Network Analysis, and Approximation & Randomized Algorithms.

His passion for these fields is evident in his desire to pursue advanced studies in Theoretical Computer Science at the graduate level.

Parsa has enriched his academic journey through impactful roles, serving as a Research Assistant at Vali-e-Asr University of Rafsanjan with a concentrated focus on Algorithm Design and Graph Theory. Additionally, he made significant contributions as a Research Assistant at the University of Twente, immersing himself in the application of Machine Learning to advance Software Refactoring techniques.

Going beyond his research engagements, Parsa has demonstrated a commitment to education by serving as a Teaching Assistant for over 10 courses. His focus has primarily centered on Theoretical Computer Science and Machine Learning, where he has provided invaluable support for courses including Design and Analysis of Algorithms, Data Structures, Discrete Math, and Data Mining on multiple occasions.

These diverse experiences underscore Parsa's unwavering dedication to both research and education, showcasing his versatility and impact across academic domains.

Parsa aspires to contribute significantly as a researcher, with the ultimate goal of achieving the esteemed status of a distinguished professor in the near future. His enthusiasm for advancing the frontiers of knowledge and making a lasting impact in the academic community drives his commitment to excellence in research and education.

• Programming Languages:

  

• Game Development:

  

• Application Development & Frameworks & Libraries:

  

• Databases:

  

• Markup languages:

  

• Tools:

  

• Partially familiar with (Elementary level):

  

• Software Engineering:

  

• Soft Skills:

  Team Work, leadership, Collaboration, Communication, Problem-solving, Critical thinking, Decision-making, Teaching

• Technical Skills:

  Algorithm Design, Algorithm Analysis, Research, Teaching, Data Mining, Deep Learning, Algorithmic Graph Theory, Community Detection