CV

Contact Information

Name Edin Jelačić
Professional Title PhD Researcher at Mälardalen University
Email edin.jelacic@mdu.se
Phone +46704397874
Location Universitetsplan 1, Västerås, Västmanland 72220

Professional Summary

R&D Software Engineer and Researcher specializing in Safety-Critical Systems, Verifiable AI, and Embedded Intelligence. Combines a strong foundation in high-performance engineering (C++/C#/Python) with advanced research in simulation environments and machine learning reliability. Proven track record at Cosylab developing control components for clinical facilities and at Mälardalen University building automated validation tools for industrial systems. Eager to apply expertise in intelligent systems, algorithm design, and real-time control to advanced engineering challenges.

Experience

  • 2023 -

    Västerås, Sweden

    Fully-Funded PhD Researcher via the Knowledge Foundation (KK-Stiftelsen)
    Mälardalens University (IDT - School of Innovation, Design and Technology)
    Computer Science. Ongoing project: PerFlex: Performant and Flexible digital Systems through Verifiable AI.
    • Architected and implemented an automated vehicular scenario generation pipeline utilizing the esmini simulation environment. Integrated a novel HASCo (Hybrid AI Scene Compiler) framework to orchestrate complex traffic scenarios for the validation of autonomous drive features under industrial safety constraints.
    • Engineered a Deep Learning-based cache simulator using LSTM networks to predict cache miss distributions, achieving near-native accuracy while significantly optimizing execution time compared to tools like DynamoRIO.
    • Developed a CPU load forecasting framework for industrial embedded systems, implementing Conformal Prediction for uncertainty quantification and Shapley values for real-time interpretability on resource-constrained hardware.
    • Architected a full-stack Electron/Typescript application to streamline AI model deployment, integrating Docker containerization for reproducible testing across simulation environments.
    • Co-authored a neural network reduction and verification algorithm building on top of the formal verification tool Marabou.
    • Collaborating with industrial partners (Volvo Cars, Hitachi Energy, Ericsson) to align research with production-grade safety standards, and supervised multiple Master Thesis students in AI/Reinforcement Learning topics.
  • 2021 - 2023

    Ljubljana, Slovenia

    Software Engineer, Control Systems Laboratory
    Cosylab
    Engineered and took responsibility for several software components of a high-level radiation therapy control system.
    • Engineered critical Java modules for radiation therapy control, architecting a unit safety analysis framework that ensured regulatory compliance for clinical facilities.
    • On-site engineering for an international client medical facility in Helsinki, Finland.
    • Successfully coordinated with international clients and technical experts.
  • 2019 - 2021

    Ljubljana, Slovenia

    Student Developer, Control Systems Laboratory
    Cosylab
    • Contributed to the development and software engineering of commercial projects using C#.
    • Assisted in project architecture implementation of SCADA protocols within a C# architecture.

Education

  • 2019 - 2021

    Ljubljana, Slovenia

    Master's Degree
    University of Ljubljana, Faculty of Electrical Engineering
    Department of Robotics
    • Master Thesis: Dynamic Movement Primitives in High-Precision Robotic Applications (Presented at the 30th International Electrotechnical and Computer Science Conference ERK 2021).
    • Analyzed dynamic movement primitives as an algorithmic trajectory generation and reproduction tool.
    • Developed a new second-order filter approach to improve the precision of dynamic movement primitives on the example of camera-guided bacterial colony extraction.
    • Utilized MATLAB and Simulink, along with C++ PD controller.
    • Robotics control, forward and inverse kinematics and dynamics, signal and sensor theory studied throughout various courses and practical implementations.
    • Collaboration with ABB Robotics in Ljubljana, with ABB RobotStudio utilized on a novel pick-and-place implementation based on multiple laser distance measurements to target.
  • 2016 - 2019

    Sarajevo, B&H

    Bachelor's Degree
    Sarajevo University, Faculty of Electrical Engineering
    Department of Automatic Control and Electronics
    • Bachelor Thesis: Lazy Probability Roadmap Path Planning Algorithm for Robotic Manipulators.
    • Analyzed, described and implemented a graph-based Lazy PRM algorithm for path planning.
    • Implemented the algorithm in C++ (Boost Library) and MATLAB.
    • Undertook various courses on control theory, electronics and fundamentals of robotics.

Awards

  • 2019
    National Silver Medal
    Sarajevo University

    Recipient for outstanding academic results throughout Bachelor studies, with a grade point average of 9.31 out of 10.0.

  • 2018
    STEM Games - Group 5th Placement (Technology Arena)
    International Science, Technology, Engineering and Maths competition

    Competed under the Faculty of Electrical Engineering Sarajevo by taking part in coding challenges in Poreč, Croatia.

  • 2017
    Elektrijada - Bronze Group Medal (Engineering Mathematics 1)
    International Electrical Engineering competition

    Also achieved a group participation prize at the Technical English language competition in Budva, Montenegro.

  • 2015
    Project Olympiad - Team 5th Place (Engineering Section)
    International Burch University

    Awarded for the electromechanical device project termed ‘Hydrogen core reactor’.

Publications

Skills

Programming (Advanced): Python, Java, C++, C, C#
AI & ML (Advanced): PyTorch, TensorFlow, AI model deployment, AI analysis
Development Tools (Intermediate): Docker, SQLite, Electron.js, CI/CD pipelines
Modeling & Simulation (Advanced): MATLAB, Simulink, LTSpice, LabVIEW, ABB RobotStudio
Hardware & Embedded (Intermediate): Data Acquisition (DAQ), Signal Analysis, Electrical Measurement, PCB design

Languages

Bosnian : Native speaker
English : Expert proficiency
Slovenian : Advanced proficiency
Swedish : Beginner proficiency

Projects

  • Hydrogen Core Reactor

    Electromechanical device project focusing on energy efficiency with respect to internal combustion engines. Resulted in a 5th place finish in the Engineering section at the International Burch University Project Olympiad.

    • Researched and developed energy efficiency concepts for internal combustion engines.