Ms. Lan Li | Action Recognition | Best Researcher Award

Ms. Lan Li | Action Recognition | Best Researcher Award

Lan Li at Sinounited Investment Group Corporation Limited Postdoctoral Programme, China

👨‍🎓 Profiles

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Mr. Shuhuan Wang | Medical Image Analysis | Best Researcher Award

Mr. Shuhuan Wang | Medical Image Analysis | Best Researcher Award

Shuhuan Wang at Northeastern University, China

👨‍🎓 Profiles

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Publications

DP-CLAM: A weakly supervised benign-malignant classification study based on dual-angle scanning ultrasound images of thyroid nodules

  • Authors: Wang, S., Zhang, S., Liao, L., Huang, L., Ma, H.
  • Journal: Medical Engineering and Physics
  • Year: 2025

A model fusion method based DAT-DenseNet for classification and diagnosis of aortic dissection

  • Authors: He, L., Wang, S., Liu, R., Ma, H., Wang, X.
  • Journal: Physical and Engineering Sciences in Medicine
  • Year: 2024

SRT: Swin-residual transformer for benign and malignant nodules classification in thyroid ultrasound images

  • Authors: Huang, L., Xu, Y., Wang, S., Sang, L., Ma, H.
  • Journal: Medical Engineering and Physics
  • Year: 2024

DPAM-PSPNet: Ultrasonic image segmentation of thyroid nodule based on dual-path attention mechanism

  • Authors: Wang, S., Li, Z., Liao, L., Huang, L., Ma, H.
  • Journal: Physics in Medicine and Biology
  • Year: 2023

Dr. Caizhi Li | Industrial | Industry Innovator Award

Dr. Caizhi Li | Industrial | Industry Innovator Award

Doctorate at Air Force Engineering University, China

👨‍🎓 Profiles

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📝 Summary

Dr. Caizhi Li is a dedicated researcher in aeronautical and astronautical sciences, specializing in aerospace composites, wave-absorbing materials, and artificial intelligence applications. With a strong foundation in electrical engineering, aeronautical engineering, and cutting-edge non-destructive testing methods, Dr. Li has contributed significantly to advanced damage detection and intelligent recognition technologies.

🎓 Education

  • PhD in Aeronautical and Astronautical Sciences and Technology
    Air Force Engineering University (2022.03–Present)
  • Master’s in Aeronautical Engineering
    Air Force Engineering University (2019.09–2022.01)
  • Bachelor’s in Electrical Engineering and Automation
    Air Force Engineering University (2015.09–2019.06)

💼 Professional Experience

    • Foundation of National Major Science and Technology Projects of China (No. 2019-Ⅵ-0015-0130)
    • National Science and Technology Major Project (J2019-III-0009-0053)

🔬 Research Interests

  • Aerospace Composites & Wave-Absorbing Materials
    • Damage mechanisms and detection.
  • Non-Destructive Testing (NDT)
    • Certified in Ultrasonic NDT (Level 2), Infrared NDT, and Weak Magnetic NDT.
  • Artificial Intelligence
    • Applications in object detection, image segmentation, and signal recognition.

 

Publications

TranSR-NeRF: Super-resolution neural radiance field for reconstruction and rendering of weak and repetitive texture of aviation damaged functional surface

  • Authors: HU, Q., XU, H., WEI, X., HAN, X., LI, C.
  • Journal: Chinese Journal of Aeronautics
  • Year: 2024

Aeroengine Blades Damage Detection and Measurement Based on Multimodality Fusion Learning

  • Authors: Wu, X., Wei, X., Xu, H., He, W., Zhou, L.
  • Journal: IEEE Transactions on Instrumentation and Measurement
  • Year: 2024

PointCNT: A One-Stage Point Cloud Registration Approach Based on Complex Network Theory

  • Authors: Wu, X., Wei, X., Xu, H., Yin, Y., He, W.
  • Journal: Remote Sensing
  • Year: 2023

Study on intelligent and visualization method of ultrasonic testing of composite materials based on deep learning

  • Authors: Hu, Q., Wei, X., Guo, H., He, W., Pei, B.
  • Journal: Applied Acoustics
  • Year: 2023

Study on the impact erosion wear resistance and damage evolution of TiN films under different impact cycles

  • Authors: Wang, S., He, W., Zhang, H., Li, C., Zhang, Y.
  • Journal: Thin Solid Films
  • Year: 2023

Prof. Aike Qiao | Biomedical | Best Researcher Award

Prof. Aike Qiao | Biomedical | Best Researcher Award

Professor at Beijing University of Technology, China

👨‍🎓 Profiles

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Publications

Advances in studies on tracheal stent design addressing the related complications

  • Authors: Shiliang Chen, Tianming Du, Hanbing Zhang, Yanping Zhang, Aike Qiao
  • Journal: Materials Today Bio
  • Year: 2024

A quantitative study of the effects of a dual layer coating drug-eluting stent on safety and efficacy

  • Authors: Bao Guo, Shiliang Chen, Yu Zhang, Yujia Yang, Hongfang Song, Yanping Zhang, Tianming Du, Aike Qiao
  • Journal: Journal of Biomechanics
  • Year: 2024

Dynamic-Cross-Linked, Regulated, and Controllable Mineralization Degree and Morphology of Collagen Biomineralization

  • Authors: Ziyao Geng, Fan Xu, Ying Liu, Aike Qiao, Tianming Du
  • Journal: Journal of Functional Biomaterials
  • Year: 2024

The calculation method of blood flow pressure based on four-dimensional flow magnetic resonance imaging and deep learning

  • Authors: Chunhao Tao, Yanjing Han, Tianming Du, Yanping Zhang, Long Jin, Hanbing Zhang, Shiliang Chen, Qian Wang, Wei Wu, Aike Qiao
  • Journal: Physics of Fluids
  • Year: 2024

Deep-learning-based real-time individualization for reduce-order haemodynamic model

  • Authors: Bao Li, Guangfei Li, Jincheng Liu, Hao Sun, Chuanqi Wen, Yang Yang, Aike Qiao, Jian Liu, Youjun Liu
  • Journal: Computers in Biology and Medicine
  • Year: 2024

Dr. Ken Abamba Omwange | Autonomous Systems | Best Researcher Award

Dr. Ken Abamba Omwange | Autonomous Systems | Best Researcher Award

Doctorate at USDA-Agricultural Research Service, United States

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🎓 Early Academic Pursuits

Dr. Ken Abamba Omwange embarked on his academic journey with a strong foundation in soil, water, and environmental engineering at Jomo Kenyatta University of Agriculture & Technology (Kenya), where he earned his Bachelor of Science degree (2010-2015). His research focused on GIS and Remote Sensing as well as watershed management, laying the groundwork for his future work in agricultural sciences. Building upon this knowledge, he advanced to Kyoto University (Japan), earning a Master of Science (2017-2019) and subsequently a Ph.D. (2019-2022) in Agricultural Science. His doctoral research, supervised by Dr. Naoshi Kondo, explored fluorescence spectroscopy and fluorescence imaging techniques to assess food product quality. This phase was pivotal in shaping his understanding of non-destructive monitoring technologies for food freshness.

💼 Professional Endeavors

  • Postdoctoral Research Associate at the US Department of Agriculture Agricultural Research Station in East Lansing, Michigan (2023-Present), where he applies his expertise in fluorescence and machine vision systems to food quality evaluation.
  • Postdoctoral Research Associate at Kyoto University’s Laboratory of Bio-Sensing Engineering (2022-2023), where he continued to explore the applications of bio-sensing techniques in food engineering.
  • Lecturer at Kenya Water Institute and Kiambu Institute of Science & Technology (2016-2017), where he taught engineering courses, inspiring the next generation of scientists and engineers.
  • Site Engineer at National Irrigation Board, Nairobi, Kenya (2015-2016), overseeing the construction of water dams in arid and semi-arid regions.

🔬 Contributions and Research Focus

Dr. Omwange’s research interests bridge diverse fields, with an emphasis on food quality evaluation, machine vision systems, and agricultural automation. His significant contributions include:

  • Fluorescence Spectroscopy and Imaging: Developing methods to evaluate food products non-destructively using surface fluorescence compounds.
  • Machine Learning in Agriculture: Incorporating machine learning and computer vision to advance agricultural automation and food safety.
  • GIS and Remote Sensing: Applying these techniques to watershed management and land-use evaluations, with direct implications for sustainable agricultural practices.

Dr. Omwange’s work is particularly notable for integrating optical and acoustic sensors in agricultural applications and advancing the use of Helmholtz resonance to evaluate agricultural products’ quality.

🌍 Impact and Influence

Dr. Omwange’s academic excellence was recognized in 2021 by the President of Kyoto University, who highlighted him as one of the most promising Ph.D. students. His work was also acknowledged by the Schmidt Science Fellowship program, where he was selected as part of a global cohort. Despite not advancing beyond the third selection stage, the experience was a testament to his exceptional potential. His research continues to shape the future of food quality monitoring, agriculture automation, and environmental conservation.

📚 Academic Cites and Recognition

Throughout his academic career, Dr. Omwange has contributed significantly to scientific literature, earning accolades for his research on fluorescence spectroscopy, machine vision, and agricultural automation. His work continues to be cited by researchers and professionals in fields ranging from food science to agricultural engineering, further cementing his influence in the scientific community.

💻 Technical Skills

  • Statistical Modeling and Data Processing (MATLAB)
  • Machine Learning and Digital Signal Processing
  • Computer Vision (Image Processing)
  • GIS and Remote Sensing (Landsat Imagery Processing)

🎓 Teaching Experience

In his role as a Lecturer, Dr. Omwange inspired students at Kenya Water Institute and Kiambu Institute of Science & Technology. He taught subjects related to engineering, mathematics, and science, providing students with practical knowledge that bridges academic theory and real-world applications. His dedication to teaching has left a lasting impact on the next generation of engineers and scientists.

🌟 Legacy and Future Contributions

Looking forward, Dr. Omwange aims to continue advancing the integration of machine learning, spectroscopy, and agriculture automation. He aspires to contribute to the development of innovative systems that will transform food quality evaluation and environmental conservation practices globally. His passion for sustainability and food safety drives his ongoing research and positions him as a leader in the field of agricultural science.

🏅 Awards and Recognition

  • Toyota Tsusho International Student Scholarship (2020-2022)
  • MEXT Master’s Scholarship (2017-2019)
  • Best Leadership Award, SABE (2014)
  • Best Contributor in Agricultural Debate, SABE (2013)
  • Best Soccer Player, JKUAT (2014)

Publications

Early Detection of Blossom-End Rot in Green Peppers Using Fluorescence and Normal Color Images in Visible Region

  • Author: Zichen Huang, Tetsuyuki Takemoto, Ken Abamba Omwange, Michela Orsino, Keiji Konagaya, Naoshi Kondo
  • Journal: Food Control
  • Year: 2025

Predicting piperine content in javanese long pepper using fluorescence imaging and machine learning model

  • Author: Sandra Sandra, Retno Damayanti, Rut Juniar Nainggolan, Mitha Sa’diyah, Anita Sekar Kusumastuti, Siska Ratna Anggraeni, Yusuf Hendrawan, Ken Abamba Omwange
  • Journal: BIO Web of Conferences
  • Year: 2024

A review of fluorescence imaging system supported by excitation-emission matrix for fruit and vegetable quality estimation

  • Author: Zichen Huang, Yoshito Saito, Tianqi Gao, Dimas Firmanda Al Riza, Renfu Lu, Haiyan Cen, Naoshi Kondo, Ken Abamba Omwange
  • Journal: Food Control
  • Year: 2024

Macroscopic and microscopic characterization of fluorescence properties of multiple sweet pepper cultivars (Capsicum annuum L.) using excitation-emission matrix and UV induced fluorescence imaging

  • Author: Zichen Huang, Tetsuyuki Takemoto, Ken Abamba Omwange, Yoshito Saito, Makoto Kuramoto, Naoshi Kondo
  • Journal: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
  • Year: 2023

Monitoring strawberry (Fragaria× ananassa) quality changes during storage using UV-excited fluorescence imaging

  • Author: Zichen Huang, Ken Abamba Omwange, Yoshito Saito, Makoto Kuramoto, Naoshi Kondo
  • Journal: Journal of Food Engineering
  • Year: 2023

Dr. Athmen Zenati | Multi-Object Tracking | Best Researcher Award

👨‍🔬 Early Academic Pursuits

Dr. Athmen Zenati embarked on his academic journey with a Bachelor of Science in Organic Chemistry from Hanseo University, South Korea, where he achieved a GPA of 4.17/4.50. This strong foundation led him to pursue M.Sc. & Ph.D. in Polymer & Materials Chemistry at Hanyang University, South Korea, from 2009 to 2014. His dissertation focused on the Synthesis of new azo-based block copolymers and their properties, marking a significant contribution to the field of polymer chemistry. His work earned him the Hanyang International Scholarship and the Korean Government Scholarship, which supported his academic excellence.

🧪 Professional Endeavors

Since 2019, Dr. Zenati has been working as a Polymer Chemist (Process) at RPC/SONATRACH, where he is involved in the development of petrochemicals. Prior to this, from 2016 to 2019, he worked as a Researcher at the Research & Development Center of SONATRACH, where he focused on developing new compounds and chemical formulations. His early career also included work as a Polymer Chemist at Reval Plastic Laboratory, where he synthesized new polyester-based polymers for applications in electronics.

🔬 Contributions and Research Focus

Dr. Zenati’s research has been instrumental in the synthesis and characterization of polymer materials, particularly azobenzene-containing block copolymers via RAFT polymerization. His work in the self-assembly behavior of triblock copolymers and their thermal properties has contributed significantly to the understanding of polymer materials and their applications in nanocomposites and electronic devices. His research has been published in renowned journals such as Wiley Journal of Polymer Science, American Chemical Society’s Macromolecules, and Springer Journal of Polymer Bulletin.

🌍 Impact and Influence

Dr. Zenati’s work has had a profound impact on the polymer chemistry field, particularly in the development of new polymer materials with applications in diverse industries, from petrochemicals to electronics. His publications and research contributions have advanced the understanding of polymer self-assembly and molecular behavior, influencing both academia and industry. His innovative work in nanocomposites and polymer films has laid the groundwork for future advancements in green chemistry and sustainable materials.

📚 Academic Cites and Recognition

Dr. Zenati has earned recognition for his academic contributions, with numerous citations of his work in leading scientific journals. His research on polymer synthesis and nanocomposites has been cited in high-impact publications, cementing his reputation as a leading expert in the field. Some of his notable publications include:

  • “Properties and molecular self-assembly of liquid crystalline hard–hard diblock and hard–soft–hard triblock copolymers” (Wiley, 2023)
  • “Triblock Azo copolymers: RAFT synthesis, properties, thin film self-assembly and applications” (Taylor & Francis, 2021)
  • “Investigation on improving properties of polypropylene-based nanocomposites by employing Algerian nanoclay” (Springer, 2020)

💻 Technical Skills

  • Monomer purification and functional monomer synthesis
  • Controlled radical polymerization (RAFT and ATRP)
  • Polymer thin film analysis and spectroscopy (H.NMR, UV-Vis, FTIR)
  • Microscopy (AFM, SEM, OPM) and thermal analysis (DSC, TGA)
  • Chromatography (GPC, HPLC-MS) and self-assembly behavior of polymers

🎓 Teaching Experience and Mentorship

Dr. Zenati has contributed to the academic community through various training programs and certifications. His teaching experience includes offering workshops on polymer chemistry, greenhouse gas emissions accounting, and process simulation. He has mentored young researchers and professionals in the field, guiding them in both theoretical and practical aspects of polymer chemistry.

🌟 Legacy and Future Contributions

Dr. Zenati’s legacy lies in his pioneering work in polymer chemistry, particularly in the synthesis of block copolymers and their self-assembly behavior. His research continues to influence the development of advanced materials for electronics, nanotechnology, and sustainable energy solutions. Looking ahead, Dr. Zenati plans to expand his work in green chemistry and sustainable materials, contributing to a more environmentally friendly and innovative future in the field of polymer science.

Prof. Larbi Guezouli | Object Detection and Recognition | Best Researcher Award

Prof. Larbi Guezouli | Object Detection and Recognition | Best Researcher Award

Professor at Higher National School of Renewable Energies, Environment, Algeria

👨‍🎓 Profiles

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Publications

SES-ReNet: Lightweight deep learning model for human detection in hazy weather conditions

  • Author: Bouafia, Y., Allili, M.S., Hebbache, L., Guezouli, L.
  • Journal: Signal Processing: Image Communication
  • Year: 2025

Human Detection in Clear and Hazy Weather Based on Transfer Learning With Improved INRIA Dataset Annotation

  • Author: Bouafia, Y., Guezouli, L., Lakhlef, H.
  • Journal: International Journal of Computing and Digital Systems
  • Year: 2024

Two-step text detection framework in natural scenes based on Pseudo-Zernike moments and CNN

  • Author: Larbi, G.
  • Journal: Multimedia Tools and Applications
  • Year: 2023

Human Detection in Surveillance Videos Based on Fine-Tuned MobileNetV2 for Effective Human Classification

  • Author: Bouafia, Y., Guezouli, L., Lakhlef, H.
  • Journal: Iranian Journal of Science and Technology – Transactions of Electrical Engineering
  • Year: 2022

Reading signboards for the visually impaired using Pseudo-Zernike Moments

  • Author: Guezouli, L.
  • Journal: Advances in Engineering Software
  • Year: 2022

Mrs. Yasmine Zambou Tsopgni | Object Detection and Recognition | Best Researcher Award

Publications

Tectonic reevaluation of West Cameroon domain: Insights from high-resolution gravity models and advanced edge detection methods

  • Authors: Yasmine, Z.T.; Ghomsi, F.E.K.; Nouayou, R.; Tenzer, R.; Eldosouky, A.M.
  • Journal: Journal of Geodynamics
  • Year: 2024

Contribution of advanced edge-detection methods of potential field data in the tectono-structural study of the southwestern part of Cameroon

  • Authors: Nzeuga, A.R.; Ghomsi, F.E.; Pham, L.T.; Fnais, M.S.; Andráš, P.
  • Journal: Frontiers in Earth Science
  • Year: 2022

Dr. Oluwasegun Julius Aroba | Machine Learning | Best Researcher Award

Dr. Oluwasegun Julius Aroba | Machine Learning | Best Researcher Award

Doctorate at Durban University of Technology, South Africa

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Publications

RSA and Elliptic Curve Encryption System: A Systematic Literature Review

  • Authors: Musa Ugbedeojo, Marion O Adebiyi, Oluwasegun Julius Aroba, Ayodele Ariyo Adebiyi
  • Journal: International Journal of Information Security and Privacy (IJISP)
  • Year: 2024

Professional Leadership Investigation in Big Data and Computer Mediated Communication in Relation to the 11th Sustainable Development Goals (SDG) Global Blueprint

  • Authors: Oluwasegun Julius Aroba
  • Journal: International Journal of Computing Sciences Research
  • Year: 2024

Node localization in wireless sensor networks using a hyper-heuristic DEEC-Gaussian gradient distance algorithm

  • Authors: Oluwasegun Julius Aroba, Nalindren Naicker, Timothy T Adeliyi
  • Journal: Scientific African
  • Year: 2023

An ERP SAP implementation case study of the South African Small Medium Enterprise sectors

  • Authors: Oluwasegun Julius Aroba
  • Journal: International Journal of Computing Sciences Research
  • Year: 2023

An implementation of SAP enterprise resource planning–A case study of the South African revenue services and taxation sectors

  • Authors: Oluwasegun Julius Aroba, Abdultaofeek Abayomi
  • Journal: Cogent Social Sciences
  • Year: 2023

Dr. Alejandro Medina Santiago | Machine Learning | Best Researcher Award

Dr. Alejandro Medina Santiago | Machine Learning | Best Researcher Award

Doctorate at Institute National of Astrophysics, Optics and Electronics, Mexico

👨‍🎓 Profiles

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Publications

TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications

  • Authors: Aguilar-González, A., Medina Santiago, A., Orozco Torres, J.A., Pérez Patricio, M., Morales-Navarro, N.A.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Object/Scene Recognition Based on a Directional Pixel Voting Descriptor

  • Authors: Aguilar-González, A., Medina Santiago, A., Osuna-Coutiño, J.A.D.J.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Multilayer Fuzzy Inference System for Predicting the Risk of Dropping out of School at the High School Level

  • Authors: Antonio Orozco Torres, J., Santiago, A.M., Manuel Villegas Izaguirre, J., Amador Garcia, M., Falconi Alejandro, G.
  • Journal: IEEE Access
  • Year: 2024

Fault Diagnosis for Takagi-Sugeno Model Wind Turbine Pitch System

  • Authors: Rodriguez, J.I.B., Hernandez-De-Leon, H.R., Marin, J.A., Zapata, B.Y.L., Guzman-Rabasa, J.A.
  • Journal: IEEE Access
  • Year: 2024

Hypertension Diagnosis with Backpropagation Neural Networks for Sustainability in Public Health

  • Authors: Orozco Torres, J.A., Medina Santiago, A., Villegas Izaguirre, J.M., Amador García, M., Delgado Hernández, A.
  • Journal: Sensors
  • Year: 2022