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

Prof. Wang Tianzhen, Shanghai maritime University, China

Dr. Tianzhen Wang is a prominent full professor at Shanghai Maritime University and a Research Affiliate and Doctoral Supervisor at the Institute de Recherche Dupuy de Lôme (IRDL) in France. Her research focuses on the control and fault diagnosis of marine energy generation systems, contributing significantly to advancements in this critical field. An IEEE Senior Member, she actively participates in several professional committees, including the IEEE Energy Storage Technology Committee and the National Ocean Energy Conversion Equipment Standardization Technical Committee. With over 100 published papers, 29 patents in China and the United States, six books, five national standards, and two IEC standards to her credit, Dr. Wang is a leading figure in her area of expertise, recognized with the prestigious IEC 1906 Award. She has served as a guest editor for several journals, including the Journal of Marine Science and Engineering and Energies, focusing on technologies related to marine energy. Her commitment to the field extends to organizing major conferences, such as the Marine Energy Summit in China and multiple sessions for the IECON series of international conferences. Additionally, she has played a key role in promoting women in engineering through workshops and conferences. Dr. Wang’s impressive career trajectory includes roles as a lecturer, post-doctoral researcher, and associate professor at Shanghai Maritime University, where she has been since 2006, culminating in her current position as a full professor since July 2016.

Summary of Suitability for Best Researcher Award: Dr. Tianzhen Wang

Dr. Tianzhen Wang is a highly qualified candidate for the Best Researcher Award due to her extensive contributions to the field of marine energy generation and control systems. As a full professor at Shanghai Maritime University and a research affiliate at the Institut de Recherche Dupuy de Lôme (IRDL) in France, she has demonstrated exceptional leadership and innovation in her research.

Education and Work Experience 🎓

2006-2007: Lecturer, Department of Electrical and Automation, Shanghai Maritime University

2007-2008: Post-Doctoral Researcher, Naval Academy Research Institute of France

2008-2009: Lecturer, Department of Electrical and Automation, Shanghai Maritime University

2009-2016: Associate Professor, Department of Electrical and Automation, Shanghai Maritime University

2016.6-Present: Research Affiliate and Doctoral Supervisor, Institut de Recherche Dupuy de Lôme (IRDL), France

2016.7-Present: Full Professor and Doctoral Supervisor, Department of Electrical and Automation, Shanghai Maritime University

Awards and Honors 🏆

IEC 1906 Award

IEEE Senior Member

Committee Member of the IEEE Energy Storage Technology Committee

Committee Member of the National Ocean Energy Conversion Equipment Standardization Technical Committee

Committee Member of the CAA Fault Diagnosis and Safety of Technical Process Specialized Committee

Convener of IEC/TC114 Advisory Group 2

Publication Top Notes

A confidence-guided DS fault diagnosis method for tidal stream turbines blade

Sparrow search algorithm-optimized variational mode decomposition-based multiscale convolutional network for cavitation diagnosis of hydro turbines

A radius and minimum velocity Jensen model for far wake distribution prediction of tidal stream turbine

LAW-IFF Net: A semantic segmentation method for recognition of marine current turbine blade attachments under blurry edges