Venkataraman Thangadurai | 3D Computer Vision | Best Researcher Award

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Prof. Dr. Venkataraman Thangadurai | 3D Computer Vision | Best Researcher Award

Professor | University of St Andrews | United Kingdom

Prof. Dr. Venkataraman Thangadurai is a globally renowned expert in solid-state chemistry, electrochemical energy storage, and advanced battery technologies. With a research focus on fast ion conductors, solid electrolytes, lithium- and sodium-based batteries, and fuel cell materials, he has made pioneering contributions to both fundamental science and practical energy solutions. Prof. Thangadurai has authored over 278 peer-reviewed journal articles, 6 book chapters, and 21 conference proceedings, and has delivered 180 conference presentations, 83 posters, and 80 invited talks at top universities, institutes, and companies worldwide. His work has resulted in 13 patents/patent applications and has placed him among the top 1% of authors in Royal Society of Chemistry journals by citations in 2020. As of March 2025, his research has received 25,991 citations with an h-index of 69, reflecting the high impact of his work globally.He is the Founder and Advisor of Ions Storage Systems, Maryland, USA (2012–present) and Founder and Director of Superionics, Calgary, Canada (2021–present), translating cutting-edge research into commercial energy storage technologies. His research highlights include optimizing lithium nucleation overpotentials in garnet-based hybrid solid-state batteries, developing doped sodium gadolinium silicate ceramics for fast Na⁺ conduction, and enhancing electrocatalysts for lithium–sulfur batteries.Prof. Thangadurai collaborates extensively with leading international researchers and institutions, including the University of Calgary, University of Maryland, University of St Andrews, University of Kiel, Yale University, and ANSTO, advancing cross-disciplinary solutions in energy materials. Beyond his scientific contributions, he mentors emerging scientists and actively promotes innovation that addresses global energy challenges. His work has significant societal impact, enabling safer, high-performance, and sustainable energy storage solutions critical for electric mobility, grid storage, and renewable energy integration.

Profiles: Google Scholar | ORCID | Scopus

Featured Publications

1. Murugan, R., Thangadurai, V., & Weppner, W. (2007). Fast lithium ion conduction in garnet-type Li₇La₃Zr₂O₁₂. Angewandte Chemie International Edition, 46(41), 7778–7781.
Cited By : 3691

2.Han, X., Gong, Y., Fu, K., He, X., Hitz, G. T., Dai, J., Pearse, A., Liu, B., Wang, H., … Thangadurai, V. (2017). Negating interfacial impedance in garnet-based solid-state Li metal batteries. Nature Materials, 16(5), 572–579. Cited By : 2088

3.Thangadurai, V., Narayanan, S., & Pinzaru, D. (2014). Garnet-type solid-state fast Li ion conductors for Li batteries: Critical review. Chemical Society Reviews, 43(13), 4714–4727. Cited By : 1712

4.Pal, B., Yang, S., Ramesh, S., Thangadurai, V., & Jose, R. (2019). Electrolyte selection for supercapacitive devices: A critical review. Nanoscale Advances, 1(10), 3807–3835.
Cited By : 1229

5.Wang, C., Fu, K., Kammampata, S. P., McOwen, D. W., Samson, A. J., Zhang, L., … Thangadurai, V. (2020). Garnet-type solid-state electrolytes: Materials, interfaces, and batteries. Chemical Reviews, 120(10), 4257–4300. Cited By : 1130

Prof. Dr. Venkataraman Thangadurai  pioneering research in solid-state chemistry and advanced battery technologies drives global innovation in energy storage, enabling safer, high-performance, and sustainable batteries that power electric mobility, renewable energy integration, and next-generation clean technologies.

Assist Prof Dr. Tiande Wen | 3D Computer Vision | Best Researcher Award

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Assist Prof Dr. Tiande Wen | 3D Computer Vision | Best Researcher Award

Tiande Wen at Shantou University, China

👨‍🎓 Profiles

Scopus

Orcid

Education

  • B.S. in Mechanical Engineering and Automation, Jiangxi University of Science and Technology (2010-2014)
  • Ph.D. in Geotechnical and Environmental Mechanics, Dalian University of Technology (2016-2019)

💼 Professional Experience

  • Postdoctoral Researcher, Shenzhen University (2019-2021)
  • Assistant Professor, Shantou University (2021-Present)

🔬 Research Focus

  • Microscopic pore structure and hydraulic characteristics of unsaturated soils
  • Improved micromicrostructure and water-force characteristics of granite residual soil

📈 Current Projects

Host of multiple research projects, including those funded by the National Natural Science Foundation of China and Guangdong Province, focusing on unsaturated soil experiments and numerical simulations.

Publications

Carbon fiber and PVA fiber reinforced concrete: Electrical resistivity and piezoresistive properties

  • Authors: Tang, M., Chen, X., Luo, Y., Gao, L., Wen, T.
  • Journal: Materials Letters
  • Year: 2024

Effects of representative elementary volume size on three-dimensional pore characteristics for modified granite residual soil

  • Authors: Wen, T., Luo, Y., Tang, M., Chen, X., Shao, L.
  • Journal: Journal of Hydrology
  • Year: 2024

Employing novel N-doped graphene quantum dots to improve chloride binding of cement

  • Authors: He, H., E, S., Wen, T., He, C., Yu, Y.
  • Journal: Construction and Building Materials
  • Year: 2023

Three-dimensional pore structure characteristics of granite residual soil and their relationship with hydraulic properties under different particle gradation by X-ray computed tomography

  • Authors: Wen, T., Chen, X., Luo, Y., Shao, L., Niu, G.
  • Journal: Journal of Hydrology
  • Year: 2023

One−Dimensional Seepage of Unsaturated Soil Based on Soil−Water Characteristic Curve

  • Authors: Shao, L., Wu, S., Guo, X., Wen, T.
  • Journal: Processes
  • Year: 2022

Dr. Fatemeh Farhadi | 3D Computer Vision | Best Researcher Award

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Dr. Fatemeh Farhadi, 3D Computer Vision, Best Researcher Award

Doctorate at University of Michigan and Shanghai Jiao Tong University, China

Professional Profile

🌟 Summary:

Dr. Fatemeh Farhadi is a distinguished researcher specializing in sports biomechanics and injury prevention. With a strong academic background and extensive research contributions, she has made significant strides in the fields of computational modeling, experimental testing, and gait analysis.

🎓 Education:

  • Ph.D. in Mechanical Engineering (2015-2023)
    • Fields of Study: Sports Biomechanics, Injuries Prevention Practices
    • Institutions: University of Michigan and Shanghai Jiao Tong University, Shanghai, China
  • M.Sc. in Biomedical Engineering (2009-2012)
    • Field of Study: Biomaterials
    • Institution: Biomedical Engineering Department of Science and Research University, Tehran, Iran
    • GPA: 17.60/20
  • B.Sc. in Biomedical Engineering (2005-2009) – 1st Ranked Student
    • Field of Study: Biomaterials
    • Institution: Biomedical Engineering Department of Science and Research University, Tehran, Iran
    • GPA: 17.31/20

💼 Professional Experience:

Dr. Farhadi has held research positions at renowned institutions, contributing to advancements in biomechanics and biomedical engineering. Her work involves utilizing advanced software and tools for simulation, modeling, and biomechanical analysis.

🔬 Research Interest:

  • Technical writing
  • Computational modeling and simulation
  • Experimental and biomechanical testing
  • Hip/Knee/Foot injuries prevention practices
  • Gait analysis
  • Prototyping

Research Accomplishments:

  • Ranked 24th for undergraduate study in biomedical engineering at Science and Research University in Tehran (2005)
  • Achieved first rank as an undergraduate student with an accumulative GPA of A (2009)
  • Ranked 18th for graduate study in biomedical engineering at Science and Research University in Tehran (2009)
  • Accepted scholarship for Ph.D. study at Shanghai Jiao Tong University (2015)
  • Received the Student Travel Grant from the International Society of Biomechanics for posters (2019)

Skills:

  • Proficient in ABAQUS, MATLAB, SolidWorks, Geomagic, MeshLab, FreeCAD, IA-FEMesh
  • Finite Element Analysis
  • Experimental and biomechanical testing
  • Image processing
  • Technical writing
  • Idea formulation
  • Project management
  • Organizing people
  • Prototyping
  • Statistical analysis

📖 Publications Top Noted:

Paper Title: Extended finite element analysis for the 2nd and 3rd metatarsals stress fracture during push-off
  • Authors: Farhadi, F.
  • Journal: Computer Methods in Biomechanics and Biomedical Engineering
  • Year: 2024
Paper Title: Smart passive gait retraining intervention via pebbles for reducing peak plantar pressure: Short-term results
  • Authors: Farhadi, F.; Ou, H.; Shull, P.; Johnson, S.
  • Journal: Medicine in Novel Technology and Devices
  • Year: 2023
Paper Title: Plantar pressure relief in pes cavus and pes planus: smart passive gait retraining using deformable insoles
  • Authors: Farhadi, F.; Johnson, S.
  • Journal: Footwear Science
  • Year: 2019
  • Citations: 1
Paper Title: An injectable continuous stratified structurally and functionally biomimetic construct for enhancing osteochondral regeneration
  • Authors: Zhu, Y.; Kong, L.; Farhadi, F.; … He, Y.; Li, H.
  • Journal: Biomaterials
  • Year: 2019
  • Citations: 106
Paper Title: An Ergonomic Testing System for the First Metatarsophalangeal Joint Stiffness
  • Authors: Farhadi, F.; Faraz, M.; Heng, M.; Johnson, S.
  • Journal: Journal of Biomechanical Engineering
  • Year: 2018
  • Citations: 2

DR. Lionel Gilson| 3D Computer Vision| Best Scholar Award

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Dr. Lionel Gilson, 3D Computer Vision, Best Scholar Award

Doctorate at Royal Military Academy, Belgium

Professional Profile

 

Name: Gilson Lionel
Address: 129 Avenue Général Eisenhower, 1030 Brussels, Belgium
Date of Birth: 09/09/1982
Nationality: Belgian

Education:

  • 2000 – 2005:
    • Degree: Civil Engineer in Material Science
    • Institution: Université Libre de Bruxelles
    • Graduated with Honours
    • Final Project Title: Effects of Heterovalent Ions on the Properties of Powders Based on LiNiO2

    2013 – 2017:

    • Degree: PhD in Cotutelle
    • Institutions: Université de Lille and Royal Military Academy
    • PhD Topic: Study of the Mechanical Behaviour of Multi-Materials Submitted to Ballistic Impact: Experimental and Numerical Approaches

Professional Experience:

  • 2003 – 2004:
    • Position: Trainee, Analysis Department (Atomic Spectrometry)
    • Company: Solvay, Brussels

    2005 – Present:

    • Position: Research Engineer
    • Organization: Belgian Defense – Royal Military Academy
      • Conducts research on dynamic material behaviour and security applications.
      • Performs experimental and numerical studies on material resistance to ballistic impacts and blast loading.
      • Serves as an internal auditor for laboratory quality systems (ISO 17025).
      • Contributes to expertise in the Materials Laboratory.

    2018 – Present:

    • Position: Associate Researcher
    • Institution: Université de Lille – Unité de Mécanique de Lille

 

Publications Top Noted:

Paper Title: Numerical analysis of an experimental ballistic test of Al/SiC functionally graded materials
  • Authors: Kada Zemani, Abdelghani May, Samir Khatir, Lionel Gilson, Thanh Cuong-Le, Magd Abdel Wahab, Hana Slamani
  • Year: 2024
  • Citations: 2
Paper Title: Experimental investigation of the quasi-static and dynamic compressive behavior of polymer-based 3D-printed lattice structures
  • Authors: A Bouteldja, MA Louar, L Hemmouche, L Gilson, A Miranda-Vicario, L Rabet
  • Year: 2023
  • Citations: 9
Paper Title: Ballistic limit evolution of field-aged flexible multi-ply UHMWPE-based composite armour inserts
  • Authors: L Gilson, F Coghe, A Bernardi, A Imad, L Rabet
  • Year: 2023
  • Citations: 6
Paper Title: Experimental investigation on the perforation behaviour of sandwich panels with hybrid composite face sheets and cellular aluminium core using quasi-static and instrumented …
  • Authors: Imad Derbala, Djalel Eddine Tria, Lionel Gilson, Larbi Hemmouche, Rafik Halimi
  • Year: 2023
  • Citations: 2
Paper Title: Numerical investigation of the dynamic behavior of a Ti/TiB functionally graded material using Split Hopkinson Pressure Bar test
  • Authors: Kada Zemani, Abdelghani May, Lionel Gilson, Djalel Eddine Tria
  • Year: 2022
  • Citations: 7

3D Computer Vision

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Introduction of 3D Computer Vision

3D Computer Vision is a dynamic and interdisciplinary field that aims to enable machines to perceive and understand the three-dimensional structure of the world from two-dimensional images or sensor data. It plays a pivotal role in various applications, including robotics, augmented reality, autonomous vehicles, and medical imaging, by providing machines with the ability to interact with the physical world in a more profound and meaningful way.

Subtopics in 3D Computer Vision:

  1. 3D Object Detection and Recognition: This subfield focuses on developing algorithms and models for accurately detecting and recognizing three-dimensional objects in real-world scenes, enabling applications such as autonomous navigation and object manipulation.
  2. 3D Scene Reconstruction: Techniques for reconstructing the 3D structure of an environment from multiple images or sensor data, essential for creating 3D maps, virtual environments, and augmented reality experiences.
  3. 3D Pose Estimation: Research in this area deals with determining the precise 3D pose (position and orientation) of objects or entities within a scene. This is crucial for applications like robotics, gaming, and human-computer interaction.
  4. 3D Point Cloud Processing: Algorithms and methods for processing and analyzing 3D point cloud data obtained from sensors like LiDAR and depth cameras, with applications in autonomous vehicles, environmental monitoring, and 3D modeling.
  5. 3D Object Tracking and Motion Analysis: Techniques for tracking and analyzing the motion and behavior of 3D objects and entities in dynamic environments, critical for surveillance, sports analysis, and robotics.
  6. Depth Sensing and 3D Sensing Technologies: Research focuses on developing and improving sensors and technologies that capture depth information, such as structured light, time-of-flight cameras, and stereo vision systems.
  7. 3D Registration and Alignment: Methods for aligning and registering multiple 3D data sources to create a coherent and accurate representation of a 3D scene, essential for augmented reality and 3D modeling.
  8. 3D Semantic Understanding: This subtopic involves the integration of semantics (meaning) into 3D data analysis, enabling machines to understand not only the geometry but also the functional and contextual aspects of 3D scenes.
  9. 3D Reconstruction from Single Images: Research aims to reconstruct 3D structures from single images, a challenging task with applications in archaeology, cultural heritage preservation, and remote sensing.
  10. Real-time 3D Computer Vision: Developing algorithms and systems capable of processing and understanding 3D data in real-time, essential for applications like robotics, augmented reality, and virtual reality.

3D Computer Vision research continues to advance, driven by the demand for more immersive and intelligent systems across various domains. These subtopics represent the breadth of challenges and opportunities within this field, where researchers strive to push the boundaries of what machines can perceive and understand in three-dimensional space.

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