Wanli Xie | ​Geological Engineering | Best Researcher Award

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Dr. Wanli Xie | ​Geological Engineering | Best Researcher Award

📌 Wanli Xie, Ph.D. is a Full Professor and Doctoral Supervisor at Northwest University, China. He directs the Key Laboratory of Loess Dynamic Disaster Prevention and Low-Carbon Remediation and the Research Center for Loess Dynamic Disasters and Ecological Restoration Technologies. A visiting scholar at the University of Colorado Boulder, USA, his expertise spans bulk solid waste treatment, mine environmental restoration, green carbon sequestration, and loess collapsibility. His research has led to national engineering standards, disaster prediction models, and eco-friendly geotechnical innovations. With over 70 publications, 14 patents, and multiple national awards, Dr. Xie plays a key role in geotechnical engineering, geosynthetics, and ecological restoration. He is an active member of international geotechnical societies, an advisor to Shaanxi’s geological disaster prevention, and a leader in geotechnical education and research. 🌍🏗

Profile

Education 🎓

🎓 Ph.D. in Geological Engineering (2004) – Northwest University, China 🏛
🎓 M.S. in Hydraulic Engineering (2001) – Kunming University of Science and Technology 💧
🎓 B.S. in Hydrogeology & Engineering Geology (1997) – Xi’an Engineering University (now Chang’an University) 🌍

Dr. Xie’s education laid the foundation for his expertise in geotechnical engineering, geological hazard prevention, and soil mechanics. His doctoral research focused on loess collapsibility mechanisms and deformation modeling, which later contributed to national railway subgrade standards. His master’s studies in hydraulic engineering provided insights into water-soil interactions, while his undergraduate work in hydrogeology strengthened his understanding of geotechnical risk assessment. His multidisciplinary background supports his contributions to sustainable land restoration, reinforced soil mechanics, and disaster mitigation. 📚🔬

Experience 👨‍🏫

👨‍🏫 Full Professor & Doctoral Supervisor – Northwest University (Present)
🔬 Director, Key Laboratory of Loess Dynamic Disaster Prevention
🌿 Director, Research Center for Loess Dynamic Disasters & Ecological Restoration Technologies
🌎 Visiting Scholar – University of Colorado Boulder, USA
🏗 Expert, Shaanxi Provincial Geological Disaster Prevention Group
🌍 Advisor, Qinling Ecological Conservation Expert Committee

Dr. Xie has pioneered multi-scale analysis of loess collapsibility, developed eco-flexible geosynthetic walls, and optimized loess stabilization techniques. His work has improved railway infrastructure, reduced disaster risks, and promoted sustainable restoration. He has also led international accreditation for NWU’s Geological Engineering Program and contributed to national geotechnical standards. His mentorship has produced award-winning students, shaping the next generation of engineers. 🚆🏔

Awards & Recognitions 🏅

🏅 Leading Talent in Sci-Tech Innovation – Shaanxi Special Support Program (2021)
🏆 Shaanxi Provincial Teaching Master (2023)
🔬 Young & Middle-Aged Leading Sci-Tech Talent – Shaanxi (2019)
🥇 National Second Prize for Science and Technology Progress (2020, Rank 4)
🥈 Shaanxi Provincial First Prize for Technological Invention (2019, Rank 2)

Dr. Xie’s pioneering research in loess collapsibility, geotechnical stability, and ecological restoration has been recognized at the national and provincial levels. His contributions to railway subgrade stability and green remediation earned him top scientific and engineering awards. As a renowned educator, he has also been honored for his excellence in teaching and mentorship. 🏅📚🔬

Research Interests 🔬

🧪 Bulk Solid Waste Treatment & Mine Environmental Restoration
🌱 Green Carbon Sequestration & Ecological Remediation
🏗 Reinforced/Improved Soils & Loess Collapsibility
🔬 Multi-Scale Mechanisms of Loess Mechanical Behavior
⚠️ Geological Hazard Prevention & Disaster Prediction

Dr. Xie’s research integrates geotechnical engineering, environmental restoration, and sustainable development. He has developed predictive models for loess deformation, innovated eco-friendly geotechnical materials, and pioneered smart monitoring systems for disaster prevention. His work directly supports climate resilience, infrastructure stability, and sustainable land management. 🌏📡🚧

Publications 

  • Publications(Selected, 70+ Total)
    1. Gao, X., Xie, W.* et al. (2025).Soil& Tillage Research 251:106548. (Top Journal)
    2. Xie, W., Li, P. et al. (2018).CATENA 173:276–288. (SCI Q1)
    3. Zhu, Y., Xie, W.* et al. (2023).Gondwana Research 166:162–180. (SCI Q1)
    4. Xie, W., Guo, Q. et al. (2021).Advances in Civil Engineering 8819015.
    5. Xie, W., Wang, J. (2006).Reinforced Loess Stability Analysis. Shaanxi Science Press. (Monograph)

    Patents: 14 authorized inventions, including:

    • In-situ loess strength testing device (ZL202411473412.7, 2024)
    • Eco-flexible geosynthetic retaining wall system (ZL202410289406.X, 2024)

Jingjun Lin | Laser-Induced Breakdown Spectroscopy (LIBS) | Best Researcher Award

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Dr. Jingjun Lin | Laser-Induced Breakdown Spectroscopy (LIBS) | Best Researcher Award

Dr. Jingjun Lin is a Lecturer at Changchun University of Technology, specializing in laser-induced breakdown spectroscopy (LIBS) and advanced spectral analysis. He has made significant contributions to the field of spectroscopy, materials science, and machine learning-based classification techniques. As an active researcher, he has published extensively in high-impact journals, advancing applications in metal analysis, additive manufacturing, and biomedical diagnostics. With experience as a visiting scholar at Tokushima University, Japan, Dr. Lin continuously explores innovative methodologies to improve spectral detection accuracy. His interdisciplinary expertise bridges spectroscopy, physics, and artificial intelligence. ✨🔬📊

Profile

Education 🎓

  • 🏛 Ph.D. Changchun University of Technology (2015-2018), with research at Huazhong University of Science and Technology (2018)
  • 🎓 Master’s Degree Changchun University of Technology (2012-2015)
  • 🎓 Bachelor’s Degree Changchun University of Technology (2008-2012)
    Dr. Lin’s academic journey reflects a deep commitment to the study of spectroscopy, laser-induced breakdown analysis, and materials science. His research focuses on enhancing spectral analysis techniques and applying machine learning models to spectroscopy data. His Ph.D. research involved novel LIBS applications for material classification and defect detection, further refined during his studies at Huazhong University of Science and Technology. 📚🔍🎯

Experience 👨‍🏫

  • Visiting Scholar Tokushima University, Japan (2023-2024) 🌍
  • Lecturer Changchun University of Technology (2019-Present) 🏛
    Dr. Lin has been an academic professional dedicated to teaching and research in laser-induced breakdown spectroscopy (LIBS), spectroscopic data fusion, and materials analysis. His tenure as a lecturer at Changchun University of Technology involves mentoring students and leading research projects. As a visiting scholar at Tokushima University, he gained international exposure, refining his expertise in advanced laser spectroscopy and its industrial applications. 🧑‍🔬📖✨

Awards & Recognitions 🏅

Dr. Lin has received multiple research grants and recognition for his contributions to spectroscopy and analytical chemistry. His papers have been published in high-impact journals such as Analytical Methods, Journal of Analytical Atomic Spectrometry, and Talanta. His innovative work on LIBS and Raman spectroscopy fusion for lung cancer diagnosis has been acknowledged for its potential clinical applications. 🏅📜🔬

Research Interests 🔬

Dr. Lin specializes in laser-induced breakdown spectroscopy (LIBS), machine learning-enhanced spectral analysis, and multi-modal spectroscopy fusion. His work includes:

  • Metal additive manufacturing defect detection using LIBS 🏭
  • Biomedical applications, including lung cancer classification with spectroscopy 🏥
  • Data fusion of LIBS and Raman spectroscopy for improved accuracy 🤖📊
  • Spectral enhancement techniques for more precise material identification 💡
    His interdisciplinary research aims to push the boundaries of LIBS applications in industry, healthcare, and environmental monitoring. 🚀🔍

Publications 

Alvaro Garcia | Computer vision | Best Researcher Award

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Dr. Alvaro Garcia | Computer vision | Best Researcher Award

Álvaro García Martín es Profesor Titular en la Universidad Autónoma de Madrid, especializado en visión por computadora y análisis de video. 🎓 Obtuvo su título de Ingeniero de Telecomunicación en 2007, su Máster en Ingeniería Informática y Telecomunicaciones en 2009 y su Doctorado en 2013, todos en la Universidad Autónoma de Madrid. 🏫 Ha trabajado en detección de personas, seguimiento de objetos y reconocimiento de eventos, con más de 22 artículos en revistas indexadas y 28 en congresos. 📝 Ha realizado estancias en Carnegie Mellon University, Queen Mary University y Technical University of Berlin. 🌍 Su investigación ha contribuido al desarrollo de sistemas de videovigilancia inteligentes, análisis de secuencias de video y procesamiento de señales multimedia. 📹 Ha sido reconocido con prestigiosos premios y ha participado en múltiples proyectos europeos de innovación tecnológica. 🚀

Profile

Education 🎓

🎓 Ingeniero de Telecomunicación por la Universidad Autónoma de Madrid (2007). 🎓 Máster en Ingeniería Informática y Telecomunicaciones con especialización en Tratamiento de Señales Multimedia en la Universidad Autónoma de Madrid (2009). 🎓 Doctor en Ingeniería Informática y Telecomunicación por la Universidad Autónoma de Madrid (2013). Su formación ha sido complementada con estancias en reconocidas universidades internacionales, incluyendo Carnegie Mellon University (EE.UU.), Queen Mary University (Reino Unido) y la Technical University of Berlin (Alemania). 🌍 Durante su doctorado, recibió la beca FPI-UAM para la realización de su investigación. Su sólida formación académica le ha permitido contribuir significativamente al campo del análisis de video y visión por computadora, consolidándose como un experto en la detección, seguimiento y reconocimiento de eventos en secuencias de video. 📹

Experience 👨‍🏫

🔬 Se unió al grupo VPU-Lab en la Universidad Autónoma de Madrid en 2007. 📡 De 2008 a 2012, fue becario de investigación (FPI-UAM). 🎓 Entre 2012 y 2014, trabajó como Profesor Ayudante. 👨‍🏫 De 2014 a 2019, fue Profesor Ayudante Doctor. 📚 De 2019 a 2023, ocupó el cargo de Profesor Contratado Doctor. 🏛️ Desde septiembre de 2023, es Profesor Titular en la Universidad Autónoma de Madrid. 🏆 Ha participado en múltiples proyectos europeos sobre videovigilancia, transmisión de contenido multimedia y reconocimiento de eventos, incluyendo PROMULTIDIS, ATI@SHIVA, EVENTVIDEO y MobiNetVideo. 🚀 Ha realizado estancias de investigación en Carnegie Mellon University, Queen Mary University y Technical University of Berlin. 🌍 Su experiencia docente abarca asignaturas en Ingeniería de Telecomunicaciones, Ingeniería Informática e Ingeniería Biomédica.

Research Interests 🔬

🎯 Su investigación se centra en la visión por computadora, el análisis de secuencias de video y la inteligencia artificial aplicada a entornos de videovigilancia. 📹 Especialista en detección de personas, seguimiento de objetos y reconocimiento de eventos en video. 🧠 Desarrolla algoritmos de aprendizaje profundo y visión artificial para mejorar la seguridad y automatización en ciudades inteligentes. 🏙️ Ha trabajado en proyectos sobre videovigilancia, transmisión multimedia y detección de anomalías en video. 🔬 Su investigación incluye procesamiento de imágenes, análisis semántico y redes neuronales profundas. 🚀 Participa activamente en proyectos internacionales y colabora con universidades como Carnegie Mellon, Queen Mary y TU Berlin. 🌍 Ha publicado en IEEE Transactions on Intelligent Transportation Systems, Sensors y Pattern Recognition, consolidándose como un referente en el campo de la visión por computadora. 📜

Awards & Recognitions 🏅

🥇 Medalla “Juan López de Peñalver” 2017, otorgada por la Real Academia de Ingeniería. 📜 Reconocimiento por su contribución a la ingeniería española en el campo de la visión por computadora y análisis de video. 🏛️ Ha recibido financiación para múltiples proyectos de investigación europeos y nacionales. 🔬 Ha participado en iniciativas de innovación en videovigilancia y análisis de video para seguridad. 🚀 Sus contribuciones han sido publicadas en las principales conferencias y revistas científicas del área. 📚 Su trabajo ha sido citado más de 4500 veces y cuenta con un índice h de 16 en Google Scholar. 📊

Publications 

1. Rafael Martín-Nieto, Álvaro García-Martín, Alexander G. Hauptmann, and Jose. M.
Martínez: “Automatic vacant parking places management system using multicamera
vehicle detection”. IEEE Transactions on Intelligent Transportation Systems, Volume 20,
Issue 3, pp. 1069-1080, ISSN 1524-9050, March 2019.

2. Rafael Martín-Nieto, Álvaro García-Martín, Jose. M. Martínez, and Juan C. SanMiguel:
“Enhancing multi-camera people detection by online automatic parametrization using
detection transfer and self-correlation maximization”. Sensors, Volume 18, Issue 12, ISSN
1424-8220, December 2018.

3. Álvaro García-Martín, Juan C. SanMiguel and Jose. M. Martínez: “Coarse-to-fine adaptive
people detection for video sequences by maximizing mutual information”. Sensors,
Volume 19, Issue 4, ISSN 1424-8220, January 2019.

4. Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós and Álvaro GarcíaMartín: “Semantic-Aware Scene Recognition”. Pattern Recognition. Accepted February
2020.

5. Paula Moral, Álvaro García-Martín, Marcos Escudero Viñolo, Jose M. Martinez, Jesus
Bescós, Jesus Peñuela, Juan Carlos Martinez, Gonzalo Alvis: “Towards automatic waste
containers management in cities via computer vision: containers localization and geopositioning in city maps”. Waste Management, June 2022.

6. Javier Montalvo, Álvaro García-Martín, Jesus Bescós: “Exploiting Semantic Segmentation
to Boost Reinforcement Learning in Video Game Environments”. Multimedia Tools and
Applications. September 2022.

7. Paula Moral, Álvaro García-Martín, Jose M. Martinez, Jesus Bescós: “Enhancing Vehicle
Re-Identification Via Synthetic Training Datasets and Re-ranking Based on Video-Clips
Information”. Multimedia Tools and Applications. February 2023.

8. Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo and Alvaro GarciaMartin: “On exploring weakly supervised domain adaptation strategies for semantic
segmentation using synthetic data”. Multimedia Tools and Applications. February 2023.

9. Juan Ignacio Bravo Pérez-Villar, Álvaro García-Martín, Jesús Bescós, Marcos EscuderoViñolo: “Spacecraft Pose Estimation: Robust 2D and 3D-Structural Losses and
Unsupervised Domain Adaptation by Inter-Model Consensus”. IEEE Transactions on
Aerospace and Electronic Systems. August 2023.

10. Javier Montalvo, Álvaro García-Martín, José M. Martinez. “An Image-Processing Toolkit
for Remote Photoplethysmography”, Multimedia Tools and Applications. July 2024.

11. Juan Ignacio Bravo Pérez-Villar, Álvaro García-Martín, Jesús Bescós, Juan C. SanMiguel:
“Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on
Predicted-View Synthesis”. IEEE Transactions on Aerospace and Electronic Systems.
May 2024.

12. Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira, Álvaro García-Martín:
“Improved Transferability of Self-Supervised Learning Models Through Batch
Normalization Finetuning”. Applied Intelligence. Aug 2024.

13. Javier Galán, Miguel González, Paula Moral, Álvaro García-Martín, Jose M. Martinez:
“Transforming Urban Waste Collection Inventory: AI-Based Container Classification and
Re-Identification”. Waste Management, Feb 2025.

Joshua Coste | Movement Ecology | Young Scientist Award

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Mr. Joshua Coste | Movement Ecology | Young Scientist Award

Joshua Coste is a marine biologist and ecologist specializing in movement ecology, navigation behavior, and population genetics. He completed his BEST-ALI master’s program at the University of La Réunion and has conducted research at the Environment and Sustainability Institute (University of Exeter). His work focuses on seabird homing navigation and population connectivity, integrating tracking and genetic techniques. He has been involved in international fieldwork, collaborating with the ENTROPIE lab, SEOR, and the UK Chagos Archipelago research team. His latest research, published in Animal Behaviour, highlights the adaptive navigation of red-footed boobies. He has presented at international conferences, including the 16th International Seabird Group Conference.

Profile

Education 🎓

Joshua earned his Master’s in Biodiversity, Ecology, and Evolution from the University of La Réunion, specializing in tropical, aquatic, coastal, and island ecosystems (2022–2024). His bachelor’s degree in Biology-Ecology was from Nantes University, France (2019–2022). He also holds a scientific high school diploma with honors, specializing in Engineering Sciences. His academic training includes practical work in marine biology, genetic analysis, and ecological modeling. His education has equipped him with expertise in spatial analysis, seabird tracking, and conservation genetics.

Experience 👨‍🏫

Joshua has completed multiple research internships worldwide. At the University of Exeter, he studied the homing navigation of red-footed boobies using GPS data. At the University of La Réunion, he analyzed the genetic structure of Barau’s Petrel colonies. His internship at the Federal University of Rio Grande do Norte, Brazil, involved studying coral competition. At IFREMER Bretagne, he worked on archaea cultures in extreme environments. He also supported students with disabilities at Handisup, Nantes. His voluntary experience includes seabird monitoring with ENTROPIE, coral reef assessments, and conservation work with BESTRUN.

Research Interests 🔬

Joshua specializes in movement ecology, behavioral ecology, and population genetics. His research explores seabird navigation, homing efficiency, and environmental adaptation. His study on red-footed boobies demonstrated how seabirds adjust flight paths based on daylight constraints. He has worked on connectivity between seabird colonies, philopatry’s influence on genetic diversity, and coral reef ecosystem dynamics. His interdisciplinary approach combines fieldwork, genetic analysis, and computational modeling.

Awards & Recognitions 🏅

Joshua was nominated for the Young Scientist Award by the International Cognitive Scientist Awards. His research on seabird navigation was recognized at the 16th International Seabird Group Conference. His Animal Behaviour publication has gained academic recognition. He actively contributes to international collaborations in marine biology and conservation.

Publications 📚

  • Homing navigation is optimized to diurnal constraints in a tropical seabird, the red-footed booby

    Animal Behaviour
    2025-04 | Journal article
    DOI: 10.1016/j.anbehav.2025.123116
    CONTRIBUTORS: Joshua Coste; Stephen C. Votier; Ruth E. Dunn; Robin Freeman; Malcolm A. Nicoll; Peter Carr; Hannah Wood; Alice M. Trevail

Raveendra Pilli | Image Processing | Best Researcher Award

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Mr. Raveendra Pilli | Image Processing | Best Researcher Award

He mentored B.Tech. projects focused on the early detection of Alzheimer’s Disease. One project involved utilizing multi-modality neuroimaging techniques, where MRI and PET images were collected from the OASIS database, preprocessed, and robust features were extracted for classification. MATLAB and the SPM-12 toolbox were used for this task. Another project focused on the early detection of Alzheimer’s Disease using deep learning networks, where an MRI dataset from the ADNI database was collected, preprocessed, and the performance was compared with baseline algorithms. For this project, he used MATLAB and Python.

NIT-Silchar, India

Profile

Education

A dedicated research scholar with a Ph.D. in Electronics and Communication Engineering from the National Institute of Technology Silchar (Thesis Submitted, CGPA 9.0), specializing in brain age prediction and early detection of neurological disorders using neuroimaging modalities. With extensive teaching experience, a strong passion for research, and a proven ability to develop engaging curricula, deliver effective lectures, and guide students toward academic success, I am committed to contributing to the field through research, publications, and presentations. My academic journey includes an M.Tech. from JNTU Kakinada (76.00%, 2011) and a B.Tech. from JNTU Hyderabad (65.00%, 2007), along with a strong foundational background in science, having completed 10+2 (MPC) with 89.00% in 2003 and SSC with 78.00% in 2001.

Work experience

He worked as a Junior Research Fellow at the National Institute of Technology, Silchar, Assam, from July 2021 to June 2023, where he assisted professors with course delivery for Basic Electronics, conducted laboratory sessions, graded assignments, and provided office hours for student support. From July 2023 to December 2024, he served as a Senior Research Fellow at the same institute, taking on additional responsibilities, including mentoring B.Tech. projects and assisting with Digital Signal Processing laboratory duties. Prior to his research roles, he was an Assistant Professor at SRK College of Engineering and Technology, Vijayawada, Andhra Pradesh, where he taught courses such as Networks Theory, Digital Signal Processing, RVSP, SS, and LICA. He utilized innovative teaching methods, including active learning techniques, to enhance student engagement and learning outcomes. He also mentored undergraduate research projects in image processing and received positive student evaluations for his teaching effectiveness.

Publication