Mr. Jernej Mlinaric | Fault Detection | Best Researcher Award

Mr. Jernej Mlinaric, Jožef Stefan Institute, Slovenia

Jernej Mlinarič is a Slovenian researcher currently pursuing a Ph.D. in Information and Communication Technologies at the International Postgraduate School Jožef Stefan, Ljubljana, Slovenia. He holds both a Master’s and a Bachelor’s degree in Mechatronics Engineering from the Faculty of Electrical Engineering and Computer Science, University of Maribor. He works as a Junior Researcher at the Jožef Stefan Institute, where his focus includes diagnostic and prognostic systems for industrial processes, fault detection, and the development of diagnostic tools. His technical skills encompass programming in C, Python, MATLAB, and LabView, as well as 3D modeling using tools like SolidWorks. Jernej has received multiple awards, including a Certificate of Recognition from the Process Control Technology Network for his outstanding master’s thesis on diagnostics of electromechanical systems. He also has hands-on experience in industrial assembly, process modeling, and control systems, complemented by proficiency in AI and signal processing. Beyond his academic and research activities, Jernej is an operative firefighter and local unit president at PGD Polje Sedlarjevo, and he has a keen interest in photography and video editing.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Jernej Mlinarič

Jernej Mlinarič is a highly promising and well-rounded early-career researcher whose academic achievements, research contributions, and technical expertise make him strongly suitable for the Best Researcher Award.

🎓 Education

📍 PhD Student in Information and Communication Technologies
🏫 International Postgraduate School Jožef Stefan, Ljubljana, Slovenia
📅 Since October 2020
🎓 EQF Level 8
📍 MSc in Mechatronics Engineering
🏫 Faculty of Electrical Engineering and Computer Science, University of Maribor
📅 Oct 2018 – Sep 2020
🎓 EQF Level 7
🔧 Skills: C, MATLAB, LabView, Siemens TIA, SolidWorks, control systems, production planning
📍 BSc in Mechatronics Engineering
🏫 Faculty of Electrical Engineering and Computer Science, University of Maribor
📅 Oct 2015 – Sep 2018
🎓 EQF Level 6
📍 Secondary School Graduate
🏫 Šolski center Rogaška Slatina
📅 Sep 2011 – Aug 2015
🎓 EQF Level 4

💼 Work Experience

🧪 Junior Researcher
🏢 Jožef Stefan Institute, Ljubljana
📅 Since Oct 2020
🔍 Focus: Diagnostics and prognostics systems, fault detection
💻 Numerical Tool and Process Control Programmer (Student Work)
🏢 I.H.S. d.o.o., Krško
📅 Jul 2019 – Sep 2020
🛠️ Programming: C, Python, MATLAB, LabView
🏭 Industrial Assembly Technician (Student Work)
🏢 Terme Olimia d.d., Podčetrtek
📅 Jul 2016 – Sep 2018
🏗️ Tasks: Assembling and testing manufacturing lines
🍽️ Kitchen Assistant (Student Work)
📍 Slovenia
📅 Jul 2012 – Sep 2016

🏅 Awards & Honors

🏆 Certificate of Recognition – Master’s Thesis
🏢 Technology Network Process Control (PCT)
📅 May 11, 2022
📘 Title: Diagnostics and prognostics of electromechanical systems based on mechanical, electrical, vibrational and acoustic signals
🔗 View Details
🎖️ Student Achievement Award – Field Robot Event (FKBV)
📅 Nov 23, 2018
🥇 Best Student Contribution – FERI
📅 Dec 19, 2017
🚴 1st Place – Electric Bicycle Competition (FERI)
📅 May 11, 2017
🌬️ Participation – Wind/Biomass Research Contest (Borzen)
📅 Dec 13, 2016

🚒 Volunteer Work & Hobbies

🔥 Firefighting
🧑‍🚒 Operative firefighter at PGD Polje Sedlarjevo
💊 Speciality: IDA user, medic
🏅 President of local unit
📸 Photography & Video Editing
🤖 Technical Interests
• Manufacturing & machining
• Robotics & automation
• Control systems
• AI & signal processing

Publication Top Notes:

End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning

Optimization of reliability and speed of the end-of-line quality inspection of electric motors using machine learning

Measuring the Phase Shift Between Hall Signals and Phase Voltages for Purpose of End Quality Control of BLDC Motor Production

Dr. Jiaying Sun, Northwestern Polytechnical University, china

Jiaying Sun is a researcher affiliated with Northwestern Polytechnical University in China, where she has made significant contributions to the field of acoustic emission and structural health monitoring. Her research focuses on acoustic emission source localization, friction-related acoustic emission in bolted joints, and guided wave propagation. Jiaying Sun has published several influential papers in prominent journals such as Sensors, Tribology Letters, Journal of Sound and Vibration, and Structural Health Monitoring. Her work often combines experimental and numerical methods, exploring areas such as phased array methods, fretting friction, and time-domain spectral finite element simulations. Sun has also presented her research at international conferences like the ASME International Mechanical Engineering Congress and Exposition.

Summary of Suitability for Best Researcher Award :

Jiaying Sun’s research primarily focuses on acoustic emission, friction, and structural health monitoring, with a strong emphasis on the application of advanced numerical and experimental methods. The following points summarize the key aspects of her work

Education:

Ph.D. Candidate (expected completion 2024), likely in Mechanical or Aerospace Engineering, based on her research topics. Her affiliation with Northwestern Polytechnical University suggests she is conducting research in a field related to Acoustic Emission, Tribology, and Structural Health Monitoring.
Master’s Degree (expected completion before 2021), likely in a related field such as Mechanical Engineering or Structural Health Monitoring.
Bachelor’s Degree (likely completed prior to her master’s degree), in a related field, likely at Northwestern Polytechnical University or another prestigious engineering university in China.

Work Experience:

Researcher or Ph.D. Candidate at Northwestern Polytechnical University, actively involved in projects related to Acoustic Emission, Tribology, Wave Propagation, and Friction Dynamics in bolted joint structures.
Published multiple peer-reviewed articles in leading journals such as Sensors, Tribology Letters, International Journal of Mechanical System Dynamics, Journal of Sound and Vibration, and Structural Health Monitoring.
Presented at several high-profile international conferences, including the ASME International Mechanical Engineering Congress and Exposition, showcasing her research on guided wave propagation and acoustic emission source localization.