Mr. Jernej Mlinaric | Fault Detection | Best Researcher Award

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

Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

Mr. Zhongzhi Li, Fudan University, China

Zhongzhi Li, is a male graduate student specializing in Aeronautics and Astronautics at Fudan University, where he maintains a GPA of 3.41/4.0, ranking 1st among 45 students. His academic journey began at Shenyang Aerospace University, where he earned a Bachelor’s degree in Computer Science and Technology, achieving an impressive GPA of 93/100 and ranking 1st out of 155. Zhongzhi has published three first-author papers in SCI-indexed journals and has applied for a patent, reflecting his research focus on time series analysis. He has received several scholarships, including the National Scholarship and the Zhang Mingwei Inspirational Scholarship. His practical experience includes internships as an AI Engineer Intern at Huawei Technologies, where he developed predictive models for cloud services, and as an Algorithm Intern at Gotion High-tech, where he created algorithms for battery fault prediction with high accuracy. Zhongzhi also served as a student assistant at Fudan University’s Party Building Service Center and currently leads the Graduate Student Union’s Practice Department. In addition to his academic pursuits, he is an avid sports enthusiast, enjoying basketball, volleyball, and running, and has participated in several marathons, including the 2022 Shanghai Half Marathon.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Zhongzhi Li

Academic Excellence and Research Experience: Zhongzhi Li demonstrates a strong academic foundation and expertise in both time series analysis and fault detection in various engineering applications. His achievements at Fudan University, where he ranks 1st out of 45 peers with a GPA of 3.41/4.0, along with his numerous scholarships (National Scholarship, Zhang Mingwei Inspirational Scholarship, etc.), reflect his academic dedication and capabilities. His undergraduate performance was equally impressive, ranking 1st out of 155 students at Shenyang Aerospace University.

Education

Fudan University
Master of Science in Aeronautics and Astronautics
Duration: September 2022 – June 2025

  • GPA: 3.41/4.0
  • Rank: 1/45
  • Scholarships: National Scholarship, Freshman Scholarship, Zhang Mingwei Inspirational Scholarship, Zhang Yongming Scholarship

Shenyang Aerospace University
Bachelor of Science in Computer Science and Technology
Duration: September 2018 – June 2022

  • GPA: 93/100
  • Rank: 1/155
  • Scholarships: National Scholarship, “Top Ten Figures of the Year” at SAU, Six Academic Excellence Scholarships, Enterprise Scholarships

Work Experience

Huawei Technologies Co., Ltd.
AI Engineer Intern, Huawei Cloud Algorithm Innovation Lab
Duration: July 2023 – August 2023

  • Analyzed current usage data on Huawei Cloud, visualizing trends in VM core counts and types using stacked area charts.
  • Developed a multimodal XAI predictive model for VM request sequence forecasting, integrating large-scale semantic information. Utilized an improved Transformer-based algorithm, achieving less than 10% prediction error on monthly and yearly scales.

Gotion High-tech Co., Ltd.
Algorithm Intern, Big Data Engineering Department
Duration: September 2022 – March 2023

  • Developed supervised and unsupervised algorithms for predicting thermal runaway faults in lithium and ternary lithium batteries, achieving detection accuracy above 95%.
  • Proposed an improved thermal runaway detection algorithm using Stacking, achieving nearly 100% accuracy, which was successfully deployed on Alibaba Cloud PAI.

Dongguan Securities Co., Ltd.
Research Intern, Quantitative Investment Department
Duration: May 2022 – August 2022

  • Managed FTP data downloads (30GB) using verification scripts to tackle large data volume and speed limits.
  • Conducted stock data preprocessing and historical data analysis with Python and C++. Practiced basic quantitative investment strategies, including dual moving average, multi-factor stock selection, Bollinger Bands, and PEG strategies.

Fudan University Party Building Service Center
Student Assistant
Duration: September 2022 – July 2023

Fudan University Department of Aeronautics and Astronautics
Head of Graduate Student Union Practice Department / Office Assistant
Duration: September 2023 – September 2024

Publication top Notes:

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