PROFILE

PhD candidate in Science at the University of Melbourne and member of the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS). My work brings together machine learning, mathematics, and computer engineering, with current projects in biological data and automated cell tracking.

EDUCATION

PhD in Science - University of Melbourne 2026–Present

• Member of the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS).

M.Sc. in Computer Science (AI Specialty) - University of Tehran 2022–2025

• GPA: 3.82/4
• Thesis: STAF: Sinusoidal Trainable Activation Functions for Implicit Neural Representation

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

RESEARCH EXPERIENCE

• 2026. A Unified Theory of Sinusoidal Activation Families for Implicit Neural Representations. Alireza Morsali, MohammadJavad Vaez, Mohammadhossein Soltani, Amirhossein Kazerouni, Babak Taati, and Morteza Mohammad-Noori. Transactions on Machine Learning Research (TMLR), 2026. OpenReview.
• 2025. An alternative approach to inverse Z-transform of rational functions. MohammadJavad Vaez, Alireza Hosseini, and Kamal Jamshidi. Journal of Engineering Mathematics, 151(1), 1–22. Published version · Preprint · Code.
• 2024–2025. Analysis of larval zebrafish neurons, in collaboration with Dr. Dominic Burrows.
• 2021–2023. Random generation of group elements using combinatorial group theory and automata theory, along with a hardware example. MohammadJavad Vaez, Marjan Kaedi, and Mahdi Kalbasi. arXiv:2311.16347.

PROFESSIONAL EXPERIENCE

• 2026–Present: Machine Learning Research Project, BioHub Cell Tracking During Development (Kaggle Competition). Developing methods for cell detection, tracking, and lineage reconstruction in 3D time-lapse microscopy, with graph-based optimization, motion modelling, and evaluation tools.
• 2025–Present: English Language Tutor, with a focus on conversation.
• 2025–2026: Freelancer in AI and Data Science.
• 2021–2022: Internship in medical equipment development and repair at Shafa Medical Company, including software development and testing for medical device prototypes.

HONORS AND AWARDS

• 2025: Admitted to PhD programs in Electrical Engineering at New Jersey Institute of Technology and Electrical & Computer Engineering at Worcester Polytechnic Institute; unable to pursue these opportunities because of the travel ban affecting Iranian students. Details.
• 2024: Reviewer, ICLR 2025 (International Conference on Learning Representations).
• 2022: Second rank among Mathematics students (Class of 2017), University of Isfahan.
• 2022: Admitted to the Master's Program in Mathematics at Sharif University of Technology through direct admission based on academic excellence; declined the offer.
• 2020: Received a $1.2 reward check from Donald Knuth for identifying a mistake in The Art of Computer Programming. Explanation.

TEACHING EXPERIENCE

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

TECHNICAL SKILLS

• Programming: Python, C/C++, MATLAB, LaTeX, HTML, CSS.
• Python ecosystem: PyTorch, scikit-learn, NumPy, Pandas, SciPy, Matplotlib, NetworkX, Jupyter.
• Software engineering: Git, GitHub, Qt.
• Hardware engineering: HSPICE, VHDL, Proteus, AVR microcontrollers.

LANGUAGES

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

IMPORTANT PROJECTS OR PRESENTATIONS

• Manufacturing Workflow Management: GitHub repository.
• Bacterial Intelligence: How Bacteria Took the First Evolutionary Steps Towards Intelligence: project post.
• Realtime Embedded Systems: PDF file.
• Buchberger Algorithm and Gröbner Basis in Inverse Kinematics of Manipulators: YouTube video (Persian presentation).
• Learning the travelling salesperson problem requires rethinking generalization: Persian presentation.
• BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks: PDF file.
• My presentations on YouTube and activity on Stack Exchange.

AREAS OF EXPERTISE AND INTEREST

• Machine learning, neural networks, graph neural networks, and geometric deep learning.
• Computational neuroscience, brain-inspired AI, and neural signal processing.
• Signal processing, control theory, and reinforcement learning.
• Automata theory, finite-state machines, cyber-physical systems, and digital twins.
• Hardware engineering, VLSI, and neuromorphic computing.
• Mathematical modelling and stochastic mathematics, including randomized algorithms, probabilistic graphical models, and stochastic cellular automata.
• Bioinformatics, computational and mathematical biology, systems biology, and biomedical data science.