Prof. Dr. Hong-Hu Zhu | Geotechnical Monitoring | Top Researcher Award

Prof. Dr. Hong-Hu Zhu | Geotechnical Monitoring | Top Researcher Award 

Prof. Dr. Hong-Hu Zhu | Geotechnical Monitoring | Nanjing University | China

Prof. Dr. Hong-Hu Zhu Ph.D., Professor, is a highly accomplished male researcher and academic leader in the field of engineering geology, geotechnics, and advanced sensing technology, recognized for his exceptional contributions to geohazard monitoring and underground infrastructure safety. He holds a Ph.D. in Geotechnical Engineering from The Hong Kong Polytechnic University, a Master’s degree in Engineering Mechanics from Jinan University, and a Bachelor’s degree in Civil Engineering from Zhejiang University, reflecting a strong multidisciplinary foundation. Currently serving as a Professor and Dean at the Institute of Earth Exploration and Sensing at Nanjing University, he has also held important leadership roles including Deputy Director of the Human Resources Department and Director of the Geological Engineering Division, demonstrating his strategic influence in academic governance. His professional background further includes impactful international research experience as a Visiting Scholar at the University of Cambridge. Prof. Dr. Hong-Hu Zhu’s research interests focus on interfacial behaviors in geotechnical systems, multi-physical monitoring, assessment, and mitigation of geohazards such as landslides and ground collapses, as well as structural and performance evaluation of tunnels and underground pipelines. His expertise extends to emerging sensing technologies including distributed acoustic sensing, machine learning-based displacement prediction, deep generative modeling of geotechnical media, material point method simulations, and full-scale structural testing for sustainable underground infrastructure. With more than 293 publications indexed in Scopus, above 6,800 citations, and an h-index of 47, he maintains strong global scientific influence, collaborating with more than 400 co-authors across international institutions. His professional skills are enriched by capabilities such as multi-physics data integration, computational geomechanics, in-situ instrumentation, and high-impact research dissemination. He has been actively engaged in community development, academic mentoring, and interdisciplinary collaboration, enhancing innovation and capacity building in earth sensing technologies. His awards, recognitions, and continuous contributions to high-value research projects reflect a proven record of excellence. Prof. Dr. Hong-Hu Zhu’s future research goals emphasize establishing resilient smart-sensing systems for infrastructure safety, accelerating global collaboration, and translating data-driven geotechnical insights into scalable solutions for environmental sustainability.

Professional Profiles: ORCID | Google Scholar | Scopus 

Featured Publications 

  1. Zhu, H.-H., et al. (2026). Ground collapse early warning driven by edge-based data assimilation and adaptive threshold using quasi-distributed flexible conductive film sensor array. Measurement.

  2. Zhu, H.-H., et al. (2026). Probabilistic analysis of top deflection of laterally loaded piles considering spatially variable soil stiffness. Computers and Geotechnics.

  3. Zhu, H.-H., et al. (2025). Real-time monitoring of water states in large-diameter aqueducts – learning from distributed acoustic sensing signals. Communications Engineering.

  4. Zhu, H.-H., et al. (2025). Randomly generating realistic calcareous sand for directional seepage simulation using deep convolutional generative adversarial networks. Journal of Rock Mechanics and Geotechnical Engineering.

  5. Zhu, H.-H., et al. (2025). Structural behavior of triple-layer composite lining of a water conveyance tunnel: Insight from full-scale loading tests. Journal of Rock Mechanics and Geotechnical Engineering.

  6. Zhu, H.-H., et al. (2025). 3D displacement time series prediction of a north-facing reservoir landslide powered by InSAR and machine learning. Journal of Rock Mechanics and Geotechnical Engineering.

  7. Zhu, H.-H., et al. (2025). Rheological behaviors of Na-montmorillonite considering particle interactions: A molecular dynamics study. Journal of Rock Mechanics and Geotechnical Engineering.

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

Dr. Michelangelo Mortello | Monitoring | Italian Welding Institute | Italy

Dr. Michelangelo Mortello is a highly accomplished researcher and materials engineer at the Istituto Italiano della Saldatura (IIS) – Ente Morale, Genoa, Italy, whose work stands at the intersection of welding technology, materials science, and sensing innovation. With a strong academic foundation culminating in a Ph.D. in Materials Engineering, Dr. Mortello has developed profound expertise in laser-based manufacturing, hybrid welding systems, hydrogen embrittlement mitigation, and subsurface sensing applications for industrial metals. His education and continuous professional engagement have equipped him with exceptional research insight into advanced joining processes, metallurgy, and additive manufacturing. Throughout his career, Dr. Mortello has accumulated an extensive body of work, publishing more than 29 scientific papers with over 800 citations and an h-index of 16, reflecting the global influence of his research contributions. His professional experience spans collaborative roles in advanced laboratories and European research initiatives, where he has contributed to the development of real-time sensing frameworks for process monitoring, structural diagnostics, and non-destructive evaluation. At IIS, he has led and contributed to numerous research projects focused on laser–arc hybrid welding, hydrogen embrittlement studies, and the structural evaluation of pipelines for repurposing energy systems. Dr. Mortello’s research interests encompass a wide spectrum of interdisciplinary domains, including additive manufacturing, laser processing, smart sensing technologies, and the integration of artificial intelligence in material diagnostics. His scientific pursuits aim to enhance the reliability, sustainability, and precision of industrial materials through predictive modeling and sensor-enabled process control. Equipped with advanced research skills such as finite element modeling (FEM), computational simulation, microstructural characterization, and corrosion testing, he consistently contributes innovative solutions to address the challenges of modern manufacturing.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications 

  1. Mortello, M., & Casalino, G. (2021). Transfer mode effects on Ti6Al4V wall building in wire laser additive manufacturing. Manufacturing Letters. — Citations: 65

  2. Casalino, G., & Mortello, M. (2021). Laser-arc combined welding of AA5754 alloy. Materials Letters. — Citations: 58

  3. Contuzzi, N., Mortello, M., & Casalino, G. (2021). On the laser scarfing of epoxy resin matrix composite with copper reinforcement. Manufacturing Letters. — Citations: 47

  4. Casalino, G., Leo, P., Mortello, M., Perulli, P., & Varone, A. (2017). Effects of laser offset and hybrid welding on microstructure and IMC in Fe–Al dissimilar welding. Metals. — Citations: 83

  5. Casalino, G., Guglielmi, P., Lorusso, V. D., Mortello, M., Peyre, P., & Sorgente, D. (2017). Laser offset welding of AZ31B magnesium alloy to 316 stainless steel. Journal of Materials Processing Technology. — Citations: 112

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