Yanwei Fu | Computer Science | Best Researcher Award

Dr Yanwei Fu ,Fudan University ,China

Based on the comprehensive profile provided, Prof. Dr. Yanwei Fu is indeed a highly qualified candidate for the Best Researcher Award. His achievements, research contributions, and academic standing illustrate his significant impact on the field of computer science, particularly in machine learning and computer vision.

Publication profile

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Educational Background

Prof. Fu holds a Ph.D. in Computer Science with a specialization in Computer Vision from Queen Mary University of London (2011-2014). His earlier education includes a Master’s degree from Nanjing University and a Bachelor’s degree from Nanjing University of Technology. This solid foundation in computer science has equipped him with the skills necessary for cutting-edge research.

Awards and Recognitions

Prof. Fu’s accolades demonstrate his prominence in the academic community:

DECRA Fellow by the Australian Research Council (2016)
Distinguished Professor of Eastern Scholar at Shanghai Institutions of Higher Learning (2017)
1000 Young Innovative Talent Professional Fellow by NSFC (2018)
Winner of the Best Paper Award at the IEEE International Conference on Multimedia and Expo (ICME) (2019)
Recipient of the ACM China SIGAI Rising Star Award (2018) and ACM Shanghai Rising Star Award (2019)
Fellow of the British Computer Society (2022)

These recognitions highlight his significant contributions to research and academia, establishing him as a leader in his field.

Research Interests

Prof. Fu’s research interests span various crucial topics in machine learning and computer vision:

Learning from Small Samples: He focuses on statistical sparsity and has developed methods for one-shot and few-shot learning.
3D/4D Object Reconstruction: His work includes innovative techniques for 3D model reconstruction and robotic grasping.
Artificial Intelligence and Generative Models: He explores foundation models for image manipulation and advanced applications in robotic tasks.

His diverse research portfolio reflects his commitment to advancing knowledge in these areas, driving innovation through interdisciplinary approaches.

Positions Held

Prof. Fu’s career includes prestigious positions such as:

DECRA Fellow (2017-2020)
Visiting Professor at renowned institutions, including Tencent AI Lab and AItricks.com
Associate Professor and Professor at Fudan University since 2016

These roles not only underscore his expertise but also his ability to contribute to and lead significant research projects.

Selected Publications

Prof. Fu has authored numerous influential papers, contributing substantially to the field. Some notable publications include:

“Pixel2mesh: Generating 3D Mesh Models from Single RGB Images” – A pioneering work in 3D modeling.
“An End-to-End Architecture for Class-Incremental Object Detection with Knowledge Distillation” – Recognized with a best paper award, showcasing his innovative approach to object detection.

Publication Top Notes

Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers

Pixel2mesh: Generating 3d mesh models from single rgb images

Soft filter pruning for accelerating deep convolutional neural networks

Transductive Multi-view Zero-Shot Learning

Pose-normalized image generation for person re-identification

Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking

Multi-scale deep learning architectures for person re-identification

Multi-level semantic feature augmentation for one-shot learning

Transductive multi-view embedding for zero-shot recognition and annotation

Conclusion

Given his extensive educational background, numerous prestigious awards, impactful research interests, and significant contributions to the field of computer vision, Prof. Dr. Yanwei Fu stands out as an exemplary candidate for the Best Researcher Award. His work not only advances theoretical knowledge but also has practical implications that push the boundaries of current technology.

Prof Dr. Aguinaldo Robinson de Souza | Computational Science | Excellence in Research

Senior Professor, São Paulo State University, Brazil

Aguinaldo Robinson de Souza is a retired Adjunct Professor at Universidade Estadual Paulista (UNESP), Brazil. With a distinguished career in Chemistry, particularly Theoretical Chemistry and Chemical Education, he has made significant contributions through his research in computational simulations, educational software, and molecular models.

Profile

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Orcid

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Education 🎓

Aguinaldo Robinson de Souza earned a Doctorate in Chemistry from Universidade de São Paulo (USP), São Paulo, Brazil, in 1993. His doctoral thesis, “Propriedades Conformacionais de Polieletrólitos e Polianfóteros por Simulação Monte Carlo,” was supervised by Léo Degreve. He completed his Master’s in Chemistry at USP in 1987, with a thesis titled “Fotorredução da Safranina por N-Fenilglicinas e Respectivos Etil-Ésteres,” under the guidance of Miguel Guillermo Neumann. Aguinaldo holds a Bachelor’s degree in Chemistry from Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), São Paulo, Brazil, awarded in 1984.

He pursued postdoctoral research at the University of California San Diego (UCSD), USA, from 1995 to 1996, supported by a scholarship from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP). Additionally, he obtained his Habilitation from Faculdade de Ciências – UNESP, Brazil, in 2005.

In terms of complementary education, Aguinaldo completed a Short Term Course in Química Teórica at Universitat Jaume I (UJI), Spain, in 2011. He has also participated in various short courses in computational chemistry, educational software, and materials science at institutions including Universidade de São Paulo, UNESP, and Instituto Sangari.

Professional Experience 💼

FINEP (2008 – Present): Engaged in various research financing roles.

Aguinaldo Robinson de Souza has been engaged with FINEP (2008 – Present), taking on various research financing roles. At Universidade Estadual Paulista – UNESP, he has served in several capacities:

Professor Voluntário in the Departamento de Química (2023 – Present).

RDIDP in the Departamento de Química (2011 – 2022).

Adjunto in the Departamento de Química (1989 – 2022).

He has also been involved in various committees, including the Comissão Permanente de Pesquisa and the Comitê Local de Internacionalização.

Research Interests 🔬

Aguinaldo Robinson de Souza focuses on several key research areas:

Computational Simulation and Molecular Modeling: Investigating various chemical systems using advanced computational techniques.

Density Functional Theory and GRID Computing: Applying density functional theory (DFT) and leveraging GRID computing for complex chemical calculations.

Educational Software and Chemical Education: Developing and using educational software to enhance chemical education and learning experiences.

Awards 🏆

Various: Recognized for contributions in theoretical chemistry and educational software.

Publications Top Notes 📚

“Novel aminoquinoline-based solvatochromic fluorescence probe: Interaction with albumin, lysozyme and characterization of amyloid fibrils” Dyes and Pigments, 2020. link

“TD-DFT Analysis of the Dissymmetry Factor in Camphor” Journal of the Brazilian Chemical Society, 2020. link

“Elucidação da quiralidade induzida na molécula dansilglicina na complexação com a proteína albumina do soro humano (HSA)” Revista Brasileira de Ciências Farmacêuticas, 2019. link

“Methyl divanillate: redox properties and binding affinity with albumin of an antioxidant and potential NADPH oxidase inhibitor” RSC Advances, 2019. link

“Solvent-induced Stokes’ shift in DCJTB: Experimental and theoretical results” Journal of Molecular Structure, 2019. link