Dr. Tianyi Feng | Monitoring | Best Researcher Award

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Dr. Tianyi Feng | Monitoring | Best Researcher Award

Dr. Tianyi Feng , Post Doc, AVIC General Huanan Aircraft Industry Co., Ltd., China.

Dr. Tianyi Feng is a dedicated postdoctoral researcher at AVIC General Huanan Aircraft Industry Co., Ltd., with a strong foundation in aeronautical engineering. He earned his Ph.D. from Imperial College London, focusing on structural health monitoring in composite materials. His work emphasizes practical innovation and high-impact aerospace applications, particularly in damage detection, localization, and hydrodynamic load testing. Passionate about integrating sensor technologies into aircraft systems, Dr. Feng continues to make notable contributions to the aviation sector. His research strives to enhance safety, resilience, and performance in next-generation aerospace structures through applied scientific advancement.

Publication Profile

Scopus

🎓 Education Background

Tianyi Feng completed his doctoral degree in Aeronautics from the prestigious Imperial College London. His doctoral thesis revolved around the field of Structural Health Monitoring, with a particular emphasis on damage detection in composite laminates using ultrasonic guided waves and embedded PZT transducers. This rigorous academic training laid the groundwork for his innovative approaches in smart sensor integration and non-destructive evaluation techniques. His research combined experimental analysis, materials engineering, and signal processing, equipping him with the expertise necessary for tackling complex structural assessment challenges in advanced aircraft engineering applications.

👨‍💼 Professional Experience

Currently serving as a Postdoctoral Researcher at AVIC General Huanan Aircraft Industry Co., Ltd., Dr. Feng leads work in hydrodynamic load test flight technology for large amphibious aircraft. In his academic phase, he introduced practical innovations in composite health monitoring. Notably, during his doctoral studies, he developed a pioneering edge-cutting technique that preserved embedded circuit integrity post-curing. At AVIC, he designed and optimized a surface-mounted MEMS optical fiber pressure sensor system capable of withstanding high-velocity water impact, exceeding 67.5 m/s. His work bridges theoretical engineering and applied aerospace technology with a focus on real-world problem solving.

🏅 Awards and Honors

Though Dr. Feng’s formal list of awards is currently limited, his innovative contributions have received academic and industry recognition. His advanced design for embedded sensor protection and high-velocity hydrodynamic sensor deployment represents breakthroughs in aircraft structural monitoring. His doctoral research at Imperial College was highly regarded, contributing significantly to international publications in composite health monitoring. As his career progresses, Dr. Feng is poised for honors that recognize his interdisciplinary expertise and contributions to aeronautics. His impactful research is expected to earn future distinctions in aerospace innovation and structural testing excellence.

🔬 Research Focus

Dr. Feng’s research expertise centers around Structural Health Monitoring (SHM) and Hydrodynamic Load Monitoring. His work on composite laminates during his Ph.D. focused on ultrasonic guided waves and PZT sensors for internal damage detection. Transitioning to postdoctoral research, he expanded into large-scale test flight technologies for amphibious aircraft, innovating in surface-mounted pressure sensor design using MEMS optical fibers. His solutions are aimed at improving the integrity and resilience of aerospace structures in extreme environments. His dual focus blends materials science, signal diagnostics, and sensor integration to solve high-stakes challenges in aircraft engineering.

📌 Conclusion

Dr. Tianyi Feng stands out as a promising researcher in aerospace engineering, seamlessly combining academic excellence with industrial application. From innovating edge-cutting techniques in composite materials to advancing hydrodynamic load testing for amphibious aircraft, his work bridges theoretical rigor and real-world problem-solving. His commitment to engineering advancement and safety enhancement underscores his potential as a leading figure in structural diagnostics and flight technologies. With a portfolio of impactful publications and hands-on experience in sensor-based solutions, Dr. Feng is well-positioned to shape the future of intelligent aircraft systems.

📚 Top Publications with Notes

  1. Influence of Composite Thickness on Ultrasonic Guided Wave Propagation for Damage Detection Using Embedded PZT Transducers – Published: 2020, Journal: Sensors (MDPI)
    Cited by 29 articles

  2. Smart Patch for Structural Health Monitoring of Composite Repair – Published: 2020, Journal: Composite Structures
    Cited by 18 articles

  3. Structural Integrity Assessment of Composites Plates with Embedded PZT Transducers for Structural Health Monitoring – Published: 2021, Journal: Engineering Fracture Mechanics
    Cited by 15 articles

  4. Active Health Monitoring of Thick Composite Structures by Embedded and Surface-Mounted Piezo Diagnostic Layers – Published: 2022, Journal: Journal of Intelligent Material Systems and Structures
    Cited by 10 articles

  5. Preparation of robust superhydrophobic coatings with hydrophobic and tough micro/nano particles – Published: 2021, Journal: Applied Surface Science
    Cited by 25 articles

 

Prof. Jacob Bortman | Monitoring | Best Researcher Award

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Prof. Jacob Bortman | Monitoring | Best Researcher Award

Head of PHM lab, Ben- Gurion University of the Negev (BGU), Israel

Prof. Jacob Bortman  is a distinguished mechanical engineer, professor, and retired Brigadier General of the Israeli Air Force with an illustrious career spanning both military and academic domains. Currently serving as a Full Professor at the Department of Mechanical Engineering at Ben-Gurion University of the Negev (BGU), Prof. Bortman is widely recognized for his pioneering contributions to structural health monitoring, digital twins, and mechanical systems. With over three decades of leadership and innovation, he seamlessly bridges defense engineering and academic excellence.

Publication Profile

🎓Education Background

Prof. Bortman completed his B.Sc. (1978–1982) and M.Sc. (1983–1984) in Mechanical Engineering at Tel Aviv University, graduating Summa Cum Laude with top honors. He then pursued his Doctor of Science (D.Sc.) in Mechanical Engineering at Washington University in St. Louis, USA (1988–1991), where he excelled under the mentorship of Prof. Barna Szabo. His doctoral research focused on nonlinear modeling using the p-Version Finite Element Method.

💼Professional Experience

Spanning from 1981 to 2009, Prof. Bortman served in the Israeli Air Force, culminating his service as Head of the Materials Directorate with the rank of Brigadier General. He led critical departments including Aircraft, UAV & Space, and Engineering Laboratories, driving technological advancements in fatigue, damage tolerance, and maintenance. In 2010, he transitioned to academia at BGU, where he continues to lead in teaching and research. Additionally, Prof. Bortman has held key industrial roles, including board memberships and chairmanships in several high-tech and medical technology companies, and serves as a consultant for aerospace and defense sectors.

🏅Awards and Honors

Prof. Bortman has received numerous accolades including the 2022 Lifetime Achievement Nomination by the PHM Society, 2020 Israeli National Defense Prize, 2016 Outstanding Lecturer at BGU, and 1992 Israeli Prime Minister National Prize for Excellence in Public Service. His consistent recognition for innovation, teaching, and public service highlights his impactful career.

🔬Research Focus

Prof. Bortman’s research centers on vibration-based condition monitoring, digital twins, machine learning for fault diagnosis, and prognostics and health management (PHM). He actively contributes to structural integrity research communities and serves on editorial boards, notably advancing knowledge in AI integration for Industry 4.0 applications.

🔚Conclusion

Prof. Jacob Bortman’s exemplary service in defense, academia, and industry makes him a globally respected authority in mechanical engineering and structural health monitoring. His dedication to research, innovation, and education continues to inspire the next generation of engineers and thought leaders. 🌍

📚Top Publications 

Machine Health Indicators and Digital Twins
Sensors, 2025
Cited by: 4 articles

New Holistic Approach for Bearing RUL Estimation
Structural Health Monitoring, 2025
Cited by: 3 articles

Few-shot Learning for Gear Wear Estimation
Engineering Failure Analysis, 2025
Cited by: 2 articles

Anomaly Detection of Gear Wear
Structural Health Monitoring, 2025
Cited by: 2 articles

Zero-Fault-Shot Learning for Spall Type Classification
Mechanical Systems and Signal Processing, 2025
Cited by: 1 article

Anomaly Detection and RUL Estimation – 2023 Data Challenge
Sensors, 2024
Cited by: 2 articles

Systematic Review of Deep Learning for Fault Diagnosis
Journal of Sound and Vibration, 2024
Cited by: 5 articles

Lingling Li | Remote sensing | Best Researcher Award

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Dr. Lingling Li | Remote sensing | Best Researcher Award 

Associate professor, Xidian University, China

🎓 Dr. Lingling Li is an Associate Professor at the School of Artificial Intelligence, Xidian University, China. She specializes in deep learning, sparse representation, quantum evolutionary optimization learning theory, and complex image interpretation. She has founded her own research group focusing on the interpretation and understanding of remote sensing images and has supervised numerous master’s and Ph.D. students. Dr. Li has secured prestigious national-level grants, exceeding 1,000,000 RMB, to support her innovative research projects. 🌟

Publication Profile

ORCID

Strengths for the Award:

  1. Significant Research Contributions: Lingling Li has a strong record of impactful research in the fields of deep learning, image processing, and remote sensing. Her publications in prestigious journals, such as IEEE TIP and Neurocomputing, reflect her deep expertise in advanced topics like deep contourlet networks, human-object interaction detection, and quantum evolutionary learning.
  2. Leadership in Research: As the founder of her own research group on interpretation and understanding of remote sensing images at Xidian University, she has successfully supervised numerous students (16 masters, 6 Ph.D.). This shows her ability to mentor the next generation of researchers, which is a key indicator of her leadership in academia.
  3. Awarded Prestigious Grants: She has received multiple prestigious national and institutional research grants totaling over 1,000,000 RMB, which demonstrates her ability to attract funding and lead high-impact research projects, such as the National Natural Science Foundation and National Key Laboratory of Science and Technology for National Defense.
  4. Global Academic Exposure: Her experience as a visiting scholar at the University of the Basque Country and her role as a reviewer for top-tier conferences and journals underline her recognition and influence in the global academic community.

Areas for Improvement:

  1. Broader International Collaboration: While Lingling Li has an impressive research record, increasing her international research collaborations beyond China and Spain could further elevate her impact. This could enhance her visibility and influence in broader global networks.
  2. Diversification of Research Topics: Her research is heavily concentrated on deep learning and image processing. Expanding into adjacent areas, such as AI ethics, sustainable AI, or interdisciplinary applications of AI, could further diversify her research portfolio.

Education:

🎓 Dr. Li earned her Ph.D. in Intelligent Information Processing from Xidian University, China (2017). She also holds a Bachelor’s degree in Electronic Information Engineering from the same university (2011). From 2013 to 2014, she was a visiting scholar at the University of the Basque Country in Spain, enhancing her global research perspective. 🌍

Experience:

👩‍🏫 Since 2020, Dr. Li has served as an Associate Professor at the School of Artificial Intelligence, Xidian University. Prior to this, she was a Lecturer at the same institution. She has supervised 16 master’s students and co-supervised 6 Ph.D. students, establishing herself as a leader in AI and remote sensing image interpretation. 💼

Research Focus:

🔍 Dr. Li’s research revolves around deep learning, quantum evolutionary optimization, and multi-scale geometric analysis. She works on complex image interpretation and target recognition, contributing to advancements in AI-powered remote sensing. Her research addresses pressing issues in multi-objective learning and large-scale remote sensing image retrieval. 🚀

Awards and Honours:

🏆 Dr. Li has received multiple national-level funding grants, including projects funded by the National Natural Science Foundation of China and Xidian University. Her research accomplishments are well-recognized in the academic community. 💡

Publications Top Notes:

📚 Dr. Li has contributed to top-tier journals and conferences, collaborating with renowned researchers. Some of her most notable works include:

“Region NMS-based deep network for Gigapixel Level Pedestrian Detection with Two-Step Cropping” – Neurocomputing, 2021 Cited by: 45

“Deep multi-level fusion network for multi-source image pixel-wise classification” – Knowl. Based Syst., 2021 Cited by: 50

IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection” – IEEE Trans. Image Process., 2021 Cited by: 78

“C-CNN: Contourlet Convolutional Neural Networks” – IEEE Trans. Neural Networks Learn. Syst., 2021 Cited by: 120

“Multi-Scale Progressive Attention Network for Video Question Answering” – ACL/IJCNLP, 2021 Cited by: 34

Conclusion:

Lingling Li is a highly deserving candidate for the Best Researcher Award. Her significant contributions to AI and deep learning, coupled with her leadership in research and mentorship, place her in an excellent position. With further expansion of her international collaborations and diversification of research, she could become a more influential figure on the global stage.

Emanuele Calabrò | Environmental Science | Best Researcher Award

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Dr. Emanuele Calabrò | Environmental Science | Best Researcher Award

Docente, MIUR (Ministero dell’Istruzione e del merito), Italy

Prof. Emanuele Calabrò, a distinguished physicist, currently serves as a Full Professor of Physics at the Technological Technical Institute of Messina “Verona-Trento” in Italy. With a career spanning over several decades, Prof. Calabrò has made significant contributions to various fields, including applied physics, experimental physics of matter, and biophysics. His expertise extends to areas such as electromagnetic fields pollution, biotechnology, solar energy, astronomy, and topography.

 

Profile

Google Scholar

Education 🎓

Prof. Emanuele Calabrò obtained his Bachelor’s degrees in Physics and Engineering from the University of Messina in Italy, with exceptional final evaluations. He further pursued post-graduate training courses and a Master’s degree in the General Theory of Physical Sciences from the University “G. Marconi” in Rome, Italy.

Experience 💼

Throughout his career, Prof. Calabrò has held various academic positions, including teaching assistantships and professorships at esteemed institutions such as the University of Messina and the Technical Technological Institute in Siena, Italy. His teaching and research endeavors have spanned topics ranging from electrotechnics to biomedical physics and electronic measurements.

Research Interests 🔬

Prof. Calabrò’s research interests encompass a diverse range of areas, including man-made electromagnetic fields pollution, biophysics, the use of resonant frequencies for cancer treatment, solar energy optimization, astronomy, and topography. His pioneering work explores the effects of electromagnetic fields on organic systems, the alignment of proteins under electromagnetic fields, and the application of photogrammetry in evaluating structural decay.

Awards 🏆

Prof. Emanuele Calabrò has been recognized for his exemplary contributions to academia and research. He was the winner of the “Award for Excellence in Research” in the Academic Brand Awards-18 and has received certificates of recognition for his services as a reviewer for Bentham Science Publishers. His dedication to advancing scientific knowledge and fostering innovation is commendable.

Publications 📚

Calabrò, E., & Mammano, A. (1992). Forbidden high excitation lines and TiO bands in the symbiotic system QW Sge. Astrophysics and Space Science, 197, 251-256.

Calabrò, E. (2009). Determining optimum tilt angles of photovoltaic panels at typical north tropical latitudes. Journal of Renewable and Sustainable Energy, 1, 033104.

Calabrò, E., & Magazù, S. (2010). Monitoring Electromagnetic Field Emitted by High Frequencies Home Utilities. Journal of Electromagnetic Analysis & Applications, 2(9), 571-579.

Calabrò, E., & Magazù, S. (2018). Resonant interaction between electromagnetic fields and proteins: A possible starting point for the treatment of cancer. Electromagnetic Biology and Medicine, 37(3), 155-168.