Kjanija Mersimoski

Data Science & AI @ University of Trieste

Currently attending the M.Sc. in Data Science and Artificial Intelligence at UniTS with the focus on foundations of ML and AI

GitHub LinkedIn

Featured Work

Head Atlas

NLP

Researching attention head specialization and improving visualization via unsupervised dimensionality reduction

Demographic Fairness for Loan Approval

RL

"Normative Fairness Shield" to enforce demographic parity in RL models. Using PPO and reward shaping, the framework monitors agent decisions in real-time and intervenes on biased rejections.

High-Performance 2D Heat Diffusion Solver

HPC

A hybrid MPI and OpenMPI implementation of a 2D five-point stencil computation for simulating heat diffusion, featuring domain decomposition, performance profiling and scaling analysis

Alzheimer's Disease Classification using Graph Attention Networks and LSTMs

Deep Learning

A hybrid GAT-LSTM deep learning pipeline tha classifies Alzheimer's disease severity by converting 2D MRI brain slices into superpixel graphs.

Academic Background

M.Sc. Data Science & AI (Current)

Focus: Foundations of Artificial Intelligence and Machine Learning. Projects with: pytorch, torch_geometric, streamlit, stable_baseline3, OpenMPI, OpenMP

B.Sc. AI & Data Analytics

Thesis : Noise Cancelling in ECG Signals using EEMD and Genetic Algorithms

My bachelors degree laid the groundwork in logic, physics, database systems and programming. It is during these three years that I further developed my skills working with numpy, pytorch, scikit, pandas, opemmp, docker, git while writing projects in python, C and R

High School - Telecommunications and Computer Science

Graduated with 100/100 cum laude. This period provided the hardware-level understanding and programming skills (C, Embedded Systems, Java, Android) that grounds my current work.

View Transcript

M.Sc. Courses

  • Natural Language Processing
  • Probabilistic and Deep Machine Learning
  • Safe and Verified AI
  • Probabilistic and Deep ML
  • High Performance and Cloud Computing
  • Simulation Intelligence and Learning for Autonomous Systems
  • Statistical Methods
  • Machine Learning Operations
  • Algorithmic Data Mining
  • Ethics and Law of Data and Artificial Intelligence

B.Sc. Courses

  • Statistical Physics and Information Theory
  • Statistical Inference
  • Optimization Algorithms
  • Dynamic Systems
  • Numerical Analysis
  • Algorithms and Data Structures
  • Statistical Models
  • Intro to Machine Learning
  • Intro to Artificial Intelligence
  • Health Data Analytics
  • Computability, Complexity & Logic
  • Methods and Mathematical Models for AI
  • Databases and Data Analytics
  • Advanced and Parallel Programming
  • Programming and Computer Architectures
  • Probability Theory
  • Mathematical Analysis 1 & 2
  • Intro to Physics
  • Geometry
  • Ethical, Social and Legal Aspects of Artificial Intelligence