MohammadJavad Vaez

mohammadjavadvaez@gmail.com mjvaez.github.io/ github.com/mjvaez linkedin.com/in/mohammadjavad-vaez-172145125

EDUCATION

M.Sc. in Computer Science (AI Specialty) - University of Tehran 2022 - Now

B.Sc. in Mathematics (Second Major) - University of Isfahan 2018 - 2022

  • GPA: 3.84/4

B.Sc. in Computer Engineering (Hardware Specialty) - University of Isfahan 2017 - 2022

  • GPA: 3.75/4
  • Final Project: Applications of Group Theory and Automata Theory in Faster Searching of State Space

High School Diploma in Mathematics and Physics - National Organization for Development of Exceptional Talents (NODET) 2013 - 2017

PUBLICATIONS

  • Sinusoidal Trainable Activation Functions for Implicit Neural Representation: Currently under review for an A* AI conference.
    • The submission is compliant with the conference's double-blind review process and has not been uploaded to arXiv.
  • An alternative approach to inverse \(\mathcal{Z}\)-transform of rational functions:
  • Random generation of group elements using combinatorial group theory and automata theory, along with a hardware example:
    • Paper Link - to be submitted to a prestigious journal

HONORS AND AWARDS

  • Reviewer, ICLR 2025: International Conference on Learning Representations (2024)
  • First Rank among Math Students: University of Isfahan, Class of 2017 and 2018 (2022)
  • Admitted to the Master's Program in Mathematics: Sharif University of Technology (2022) - declined offer
  • $1.2 Reward Check from Donald Knuth for identifying a mistake in The Art of Computer Programming Link to explanation

TEACHING EXPERIENCE

  • Fall 2024: TA for Advanced Theory of Algorithms, University of Tehran, Instructor: Dr. Morteza Mohammad-Noori
  • Fall 2018: TA for Calculus II, University of Isfahan, Instructor: Dr. Ehsan Hakimian

COMPUTER SKILLS

LANGUAGES

  • Persian: Native
  • English: Fluent, IELTS score: 7 (Speaking: 7.5)

IMPORTANT PROJECTS OR PRESENTATIONS

RESEARCH INTERESTS

  • Areas of Expertise:
    • Machine Learning
    • Neural Networks
    • Graph Neural Networks (GNN)
    • Signal Processing
    • Randomized Algorithms
    • Automata Theory
    • Control Theory
    • Stochastic Mathematics (including Probabilistic Graphical Models, Stochastic Cellular Automata, etc.)
  • Areas of Interest:
    • Bioinformatics
    • Quantum Computing
    • Geometric Deep Learning