Dr. Michelangelo Mortello | Monitoring | Excellence in Research Award

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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

Dr. Jie Lv | Real-time Monitoring | Best Researcher Award

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Dr. Jie Lv | Real-time Monitoring | Best Researcher Award

Dr. Jie Lv, Kunming University of Science and Technology, China

Dr. Jie Lv is the Director of the Teaching and Research Office at Kunming University of Science and Technology, where she also serves as a Graduate Supervisor. She earned her Master’s degree in Land Resource Management and Ph.D. in Earth Exploration and Information Technology from the same institution. With a distinguished academic and research profile, Dr. Lv has led over 20 research projects—both completed and ongoing—and authored 35 peer-reviewed publications, including Tier 1 SCI and EI-indexed journals. Her work focuses on remote sensing applications for environmental monitoring, disaster assessment, and deep learning integration. A patent holder, accomplished author of three academic books, and key contributor to a nationally funded exploration project, Dr. Lv is also an active member of several professional bodies. Her dedication to interdisciplinary research and teaching excellence has significantly advanced geospatial science and remote sensing education in China.

Professional Profile:

ORCID

🏆 Summary of Suitability for Best Researcher Award

Nominee: Dr. Jie Lv
Designation: Director of Teaching and Research Office
Institution: Kunming University of Science and Technology

Dr. Jie Lv is a distinguished academic and researcher whose exceptional contributions to remote sensing, environmental monitoring, and deep learning applications position her as an ideal candidate for the Best Researcher Award. With a robust academic foundation and over a decade of experience, she has demonstrated consistent excellence in both theoretical and applied research.

🎓 Education

  • Ph.D. in Earth Exploration and Information Technology
    Kunming University of Science and Technology – 2014

  • Master’s Degree in Land Resource Management
    Kunming University of Science and Technology – 2011

💼 Work Experience

  • Director of Teaching and Research Office
    Kunming University of Science and Technology
    (Graduate Supervisor for master’s students)
    📌 Focused on remote sensing, disaster monitoring, and deep learning applications in environmental studies.

🌟 Key Achievements

  • 🧪 Research Projects: 10 completed + 11 ongoing

  • 📊 Publications: 35 peer-reviewed journal articles (19 as first/corresponding author)

    • 🥇 3 Tier 1 (SCI-indexed)

    • 🥈 7 Tier 1 (EI-indexed)

    • 🥉 5 in Tier 2 and Tier 3

  • 📚 Books Published:

    • Comprehensive Analysis and Study of Remote Sensing Survey for the Karst Mountainous Environment in Southeastern Yunnan (ISBN: 9787541682094)

    • Principles and Applications of Remote Sensing (ISBN: 978752213822)

    • Applied Research on Regional Eco-environmental Monitoring and Assessment Using Remote Sensing (ISBN: 9787568141963)

  • ⚙️ Patents: 3 granted invention patents, 6 utility model patents, 3 pending patents

  • 🛰️ Collaborative Research:
    National Science and Technology Major Project on Deep Earth Exploration (Total funding: RMB 7.05 million)

🏅 Awards & Honors

  • 🧠 CNKI Scholar – Recognized Editorial Contributor

  • 👩‍🏫 Expert Panel Member – Yunnan Land Evaluation & Registration Association

  • 🧾 Peer Reviewer – Ministry of Education Thesis Inspection System

  • 🌐 Professional Memberships:

    • Geographical Society of China (GSC)

    • China Remote Sensing Application Association (CRSAA)

    • China Association of Higher Education (CAHE)

Publication Top Notes:

Bridge Crack Segmentation Algorithm Based on Improved U-Net

Enhanced Landslide Visualization and Trace Identification Using LiDAR-Derived DEM

Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award

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Prof. Dr. Weidong Jiao | Smart Detection | Best Researcher Award 

Prof. Dr. Weidong Jiao, Zhejiang Normal University, China

Dr. Weidong Jiao was born in Wafangdian, Liaoning, China, in 1970. He received his B.E. and M.E. degrees in Safety Engineering and Mechanical Engineering from Gansu University of Technology in 1992 and 2001, respectively, and earned his Ph.D. in Mechanical Engineering from Zhejiang University in 2004. From 2004 to 2009, he served as a Professor in the Mechanical Engineering Department at Jiaxing University. Since 2013, he has been a Professor at the School of Engineering, Zhejiang Normal University. Dr. Jiao has authored over 100 research articles and holds approximately 20 invention patents. His research focuses on smart testing and signal processing, mechanical dynamics, and condition monitoring and fault diagnosis of mechanical equipment. He also serves as an Editor for the Journal of Vibration, Measurement & Diagnosis.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Weidong Jiao

Prof. Weidong Jiao is a highly qualified candidate for the Best Researcher Award, based on his extensive contributions to mechanical engineering, fault diagnosis, and intelligent signal processing. His strong research background, innovative work, and leadership in academia make him a worthy contender for this prestigious recognition.

🎓 Education:

  • B.E. in Safety Engineering – Gansu University of Technology, Lanzhou (1992)
  • M.E. in Mechanical Engineering – Gansu University of Technology, Lanzhou (2001)
  • Ph.D. in Mechanical Engineering – Zhejiang University, Hangzhou (2004)

💼 Work Experience:

  • Professor, Mechanical Engineering Department, Jiaxing University (2004–2009)
  • Professor, School of Engineering, Zhejiang Normal University (Since 2013)

🏆 Achievements & Contributions:

  • 📚 Published over 100 research articles
  • 🔬 Invented approximately 20 innovations
  • 🛠️ Expertise in smart testing, signal processing, mechanical dynamics, condition monitoring, and fault diagnosis
  • 📝 Editor of Journal of Vibration, Measurement & Diagnosis

🏅 Awards & Honors:

  • 🎖️ Recognized for contributions in mechanical engineering and diagnostics
  • 🏅 Honored for advancements in fault diagnosis and condition monitoring
  • 🔍 Acknowledged for outstanding research and academic contributions in mechanical dynamics

Publication Top Notes:

Compact multiphysics coupling modeling and analysis of self-excited vibration in maglev trains

Deep learning in industrial machinery: A critical review of bearing fault classification methods

Recursive prototypical network with coordinate attention: A model for few-shot cross-condition bearing fault diagnosis

Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions

Cross-Conditions Fault Diagnosis of Rolling Bearing Based on Transitional Domain Adversarial Network