Yang zhang | Computer Vision | Best Researcher Award-duplicate-1

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Dr. Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

IIT Roorkee | India

Dr. Saikat Biswas is an Indian chemical engineer and academic whose research primarily focuses on computational fluid dynamics (CFD), multiphase flow, and microfluidics, with a special emphasis on droplet dynamics including breakup, splitting, and the transition from dripping to jetting in complex microchannel geometries. He earned his PhD in Chemical Engineering from the Indian Institute of Technology Guwahati (2016–2023), where his doctoral work investigated droplet breakup dynamics in confined microscale flows, and previously completed both his M.Tech and B.Tech in Chemical Engineering at the National Institute of Technology Agartala. Throughout his academic journey, he has published 14 documents, accumulating 41 citations and achieving an h-index of 3, reflecting his growing impact in the field. His contributions include both numerical and computational studies, such as two-dimensional and three-dimensional simulations of droplet splitting at T-junctions and multifurcating channels, investigations of flow-focusing geometries, and analyses of the role of viscosity ratio, surface tension, and channel design in influencing microfluidic droplet behaviour. Skilled in advanced tools such as ANSYS Fluent, COMSOL Multiphysics, OpenFOAM, and MATLAB, he integrates computational methods with engineering applications to address fundamental and applied challenges. Recognized as hard-working, adaptable, and collaborative, Biswas continues to contribute to the advancement of microfluidics and multiphase flow research.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“Digital electronic based portable device for colorimetric quantification of ketones and glucose level in human urine”

“Droplet splitting in multifurcating microchannel: A three-dimensional numerical simulation study”

“3D simulation of dripping and jetting phenomena in a flow-focusing geometry”

“A computational study on transition mechanism of dripping to jetting flow in a flow focusing geometry”

“Influence of microchannel geometry on droplet breakup dynamics: A computational study”

Yang zhang | Computer Vision | Best Researcher Award

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Dr. Yang zhang | Computer Vision | Best Researcher Award

Yang Zhang is a Lecturer at the School of Computer Science and Engineering, Nanjing University of Science and Technology. She earned her PhD in Control Science and Engineering from Southeast University and was a visiting researcher at the Australian Artificial Intelligence Institute, University of Technology Sydney. Her research focuses on face image and video super-resolution, face recognition, illumination normalization, and three-dimensional face reconstruction. She has published extensively in top journals and conferences such as IEEE TPAMI, IEEE TIP, and CVPR. A recipient of national and institutional scholarships, her work is widely recognized and cited by leading universities and industry labs worldwide.

Dr. Yang zhang | Nanjing University of Science and Technology | China

Profiles

SCOPUS

GOOGLE SCHOLAR

Education

  • Yang Zhang received her doctoral degree in Control Science and Engineering from Southeast University in Nanjing, China. During her doctoral studies, she gained international exposure as a visiting student at the Australian Artificial Intelligence Institute, University of Technology Sydney, under the supervision of Professor Ivor W. Tsang. This academic journey provided her with a strong foundation in artificial intelligence, computer vision, and advanced image processing methods.

Experience

  • Yang Zhang is currently a Lecturer at the School of Computer Science and Engineering, Nanjing University of Science and Technology. She has previously worked on research collaborations at the University of Technology Sydney, where she deepened her expertise in artificial intelligence and machine learning. Her academic role has been complemented by her extensive publications in top journals and conferences, where her contributions have been recognized at the international level.

Awards and Recognition

  • Yang Zhang has been recognized for her academic excellence with prestigious scholarships. She received the China National Scholarship and the Nanjing Artificial Intelligence Project Scholarship, both awarded for her outstanding research and contributions to the field of computer vision. These awards highlight her dedication to innovation and her ability to contribute meaningfully to the global research community.

Skills and Expertise

  • Her skills lie at the intersection of artificial intelligence, computer vision, and image processing. She specializes in designing and implementing deep learning architectures for face image super-resolution, video super-resolution, and face recognition under challenging conditions. Yang Zhang is skilled in integrating prior knowledge into deep learning frameworks to achieve robust feature representation, visual quality enhancement, and structural fidelity. She also demonstrates strong expertise in handling issues such as illumination normalization, pose variation, and occlusion restoration.

Research Focus 

  • Yang Zhang’s research is centered on advancing face image super-resolution, face recognition, and three-dimensional face reconstruction under extreme conditions. She has developed innovative models for illumination removal, non-local style transfer super-resolution, pose correction, and progressive restoration. Her work bridges deep learning with traditional image processing to address real-world challenges. Her contributions have set benchmarks in the field and are widely recognized and cited by leading academic institutions and industry research labs globally.

Publications

  • Recursive Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
    Authors: Y Zhang, IW Tsang, Y Luo, C Hu, X Lu, X Yu
    Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence

    Copy and Paste GAN: Face Hallucination From Shaded Thumbnails
    Authors: Y Zhang, IW Tsang, Y Luo, CH Hu, X Lu, X Yu
    Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

    Face Hallucination With Finishing Touches
    Authors: Y Zhang, IW Tsang, J Li, P Liu, X Lu, X Yu
    Journal: IEEE Transactions on Image Processing

    IL-GAN: Illumination-invariant Representation Learning for Single Sample Face Recognition
    Authors: Y Zhang, C Hu, X Lu
    Journal: Journal of Visual Communication and Image Representation

    Face Illumination Recovery for the Deep Learning Feature Under Severe Illumination Variations
    Authors: CH Hu, J Yu, F Wu, Y Zhang, XY Jing, XB Lu, P Liu
    Journal: Pattern Recognition

Conclusion

  • Yang Zhang is an accomplished researcher and academic whose work in face recognition and image processing has had significant impact on both academia and industry. Her innovative methods have pushed the boundaries of face image analysis under challenging conditions, earning her recognition in top international venues. With a strong academic background, prestigious awards, and active membership in leading professional societies, she continues to shape the future of computer vision through groundbreaking research and collaboration.

Juncheng Yang | Artificial Intelligence | Best Researcher Award

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Mr. Juncheng Yang | Artificial Intelligence | Best Researcher Award

Juncheng Yang, born in 1982, is a PhD candidate and associate professor at Henan Polytechnic Institute. A Senior Member of the China Computer Federation, his research primarily focuses on artificial intelligence, including machine learning and AI applications. With extensive experience in both academia and research, he is dedicated to advancing AI technologies and their practical uses.

Mr. Juncheng Yang | Henan Polytechnic Institute | China

Profile

Scopus ID

🎓 Education

    • Juncheng Yang, born in 1982, is currently a PhD candidate. He has pursued his academic journey with a strong focus on artificial intelligence, contributing to his expertise in the field.

💼 Experience

    • Juncheng is an associate professor at Henan Polytechnic Institute. With years of experience in academia, he has made significant contributions to teaching and research in the realm of computer science and artificial intelligence.

 🏆 Honors and Awards

    • He holds the distinction of being a Senior Member of the China Computer Federation. This recognition reflects his high standing and achievements in the computer science and artificial intelligence communities.

🛠️ Skills and Certifications

    •  Juncheng Yang possesses a range of advanced skills in artificial intelligence, machine learning, and computer science. His expertise includes both theoretical and applied aspects of AI, making him a key figure in his research field.

🔬 Research Focus

    •   His main research interest lies in artificial intelligence, where he explores various aspects, including algorithms, machine learning models, and AI applications. Juncheng Yang’s work aims to push the boundaries of AI technologies and their practical implementations.

Conclusion

    • Juncheng Yang’s combination of innovative research, high-quality publications, and proven leadership in the AI field makes him an ideal candidate for the Best Researcher Award. His research not only advances the frontiers of AI technology but also holds substantial practical relevance for various industries. His achievements, ongoing contributions, and forward-looking perspective position him as one of the leading figures in AI research today.

📄Publications

  • A Time-Series-Based Sample Amplification Model for Data Stream with Sparse Samples
    Authors: Yang, J., Yu, W., Yu, F., Li, S.
    Journal: Neural Processing Letters, 2024, 56(2), 72
  • Generalizing to Unseen Domains via PatchMix
    Authors: Yang, J., Li, Z., Li, C., Yu, W., Li, S.
    Journal: Multimedia Systems, 2024, 30(1), 31
  • Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models
    Authors: Yang, J., Li, Z., Xie, S., Yu, W., Li, S.
    Conference: Proceedings – IEEE International Conference on Multimedia and Expo, 2024
  • DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization
    Authors: Yang, J., Li, Q., Xie, S., Yu, W., Li, S.
    Conference: Proceedings of the International Joint Conference on Neural Networks, 2024
  • Soft-Prompting with Graph-of-Thought for Multi-modal Representation Learning
    Authors: Yang, J., Li, Z., Xie, S., Li, S., Du, B.
    Conference: 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 – Main Conference Proceedings, 2024