Mrs. Naima Souane | Multimedia Systems Awards | Women Researcher Award

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Mrs. Naima Souane | Multimedia Systems Awards | Women Researcher Award

Mrs. Naima Souane  , Université Oran 1 Ahmed ben bela, Oran, Algérie , Algeria

Naima Souane is a PhD candidate specializing in Computer Systems and Networks at Oran1 University, Algeria. She holds a Master’s Degree in Computer Science with a specialization in Engineering of Computer Systems from the Faculty of Science and Technology, University of Mascara (2010-2011), and an Engineering Degree in Computer Science with a focus on Artificial Intelligence from the same university (2003-2008). Additionally, she earned her Baccalaureate in Natural and Life Sciences from Lycée Mahyeddine Ben Mustapha Errachidi, Mascara in 2003. Naima currently works as a Senior IT Engineer at a state-owned company. Her professional experience includes conducting research on “Interface Service Between Mobile and Cloud Computing” during her master’s studies and developing the PervasiveGrid Simulator (PGS) during her engineering studies.

Professional Profile:

Google Scholar

🎓Education:

Naima Souane is currently pursuing a PhD in Computer Science with a specialization in Computer Systems and Networks at Oran1 University, Algeria. She holds a Master’s Degree in Computer Science, specializing in Engineering of Computer Systems, which she obtained from the Faculty of Science and Technology at the University of Mascara in 2011. Prior to her master’s, Naima earned her Engineering Degree in Computer Science with a focus on Artificial Intelligence from the University of Mascara between 2003 and 2008. Her academic journey began with a Baccalaureate in Natural and Life Sciences from Lycée Mahyeddine Ben Mustapha Errachidi in Mascara in 2003. Naima also brings professional experience as a Senior IT Engineer at a state-owned company, where she applies her expertise in computer systems and networks. Her research during her academic career has been notable, including the development of the PervasiveGrid Simulator and research on the interface service between mobile and cloud computing, showcasing her dedication to advancing technology and computing systems.

🏢Professional Experience:

Naima Souane currently serves as a Senior IT Engineer at a state-owned company, leveraging her expertise in computer systems and networks. Her professional journey includes significant contributions to research and development during her academic pursuits. As a Master’s student at the University of Mascara from 2010 to 2011, Naima conducted research culminating in her thesis titled “Interface Service Between Mobile and Cloud Computing.” This involved implementing a simulation using Java and evaluating its outcomes, demonstrating her proficiency in bridging mobile and cloud technologies. Earlier, during her undergraduate years from 2007 to 2008 at the same institution, she developed the PervasiveGrid Simulator (PGS) using Java, a project that advanced research in pervasive computing. Naima’s dedication to innovation and research underscores her commitment to advancing technology within the field of computer science.

🏆Awards:

Naima Souane has received accolades for her pioneering research in computer science. In 2011, she was honored with the Best Research Paper Award for her work on “Interface Service Between Mobile and Cloud Computing,” recognizing her innovative approach to integrating mobile and cloud technologies. Earlier, in 2008, Naima earned the Innovation in Pervasive Computing Award for her development of the PervasiveGrid Simulator (PGS) using Java. These awards highlight her significant contributions to advancing research and technology in the field of computer science, showcasing her expertise and dedication to cutting-edge innovation.

Publication Top Notes:

 

 

 

Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher Award

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Dr. Yunfei Chen | Multimedia Retrieval | Best Researcher Award 

Dr. Yunfei Chen, Central south university, China

Yunfei Chen is a passionate research scholar specializing in multimedia hashing retrieval. He received his B.S. degree in Software Engineering from Henan University and his M.S. degree in Software Engineering from Harbin Engineering University. Currently, he is pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering at Central South University in Changsha, China. His research primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.Yunfei’s academic journey is marked by notable achievements. He has published significant papers in prestigious journals and conferences, including “Supervised Semantic-Embedded Hashing for Multimedia Retrieval” in Knowledge-Based Systems, and “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval” presented at the International Conference on Neural Information Processing.

 

🌐 Professional Profile:

SCOPUS

Education and Experience

🎓 Yunfei Chen holds a B.S. degree in Software Engineering from Henan University and an M.S. degree in Software Engineering from Harbin Engineering University. He is currently pursuing a Ph.D. at the Big Data Institute, School of Computer Science and Engineering, Central South University in Changsha, China. His research interests are Cross-Modal Retrieval, Computer Vision, and Pattern Recognition.

Academic Achievements

📚 Yunfei has made significant contributions to the fields of multimedia retrieval and semantic hashing. His noteworthy publications include:

  1. 📄 “Supervised Semantic-Embedded Hashing for Multimedia Retrieval.” Knowledge-Based Systems.
  2. 📄 “Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 318-330.
  3. 📄 “S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing.” International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 252-269.

Research, Innovations, and Extension

🔍 Research Projects: 1
📈 Journals Published in SCI/SCIE Index: 1
📖 Journals Published in Scopus/Web of Science/PubMed: 1
🔬 Areas of Research: Multimedia Hashing Retrieval
🔧 Patents Published and Under Process: 3
📝 Editorial Appointments in Journals/Conferences: 3

Contributions to Research & Development

🔬 Yunfei Chen has made substantial contributions to Research & Development, Innovations, and Extension Activities within his field. His work primarily focuses on Cross-Modal Retrieval, Computer Vision, and Pattern Recognition. Through his research, Yunfei has developed innovative methods and frameworks that enhance the efficiency and effectiveness of multimedia retrieval systems.

🌟 One of his notable contributions is the development of Supervised Semantic-Embedded Hashing for Multimedia Retrieval, which has been recognized in the Knowledge-Based Systems journal. This method integrates semantic information into the hashing process, improving retrieval accuracy and speed.

💡 Additionally, his work on Unsupervised Joint-Semantics Autoencoder Hashing, presented at the International Conference on Neural Information Processing, offers a novel approach to multimedia retrieval that does not require labeled data, making it highly adaptable and scalable.

Publication Top Notes:

Unsupervised Joint-Semantics Autoencoder Hashing for Multimedia Retrieval

S3ACH: Semi-Supervised Semantic Adaptive Cross-Modal Hashing

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network

 

Ms. Ekaterina Shumitskaya | Multimedia Systems | Best Researcher Award

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Ms. Ekaterina Shumitskaya | Multimedia Systems | Best Researcher Award

Ms. Ekaterina Shumitskaya, Lomonosov Moscow State University, Russia

👩‍💻 Ms. Ekaterina Shumitskaya is an accomplished scholar currently pursuing a Master’s degree in Computer Science at Lomonosov Moscow State University, specializing in Computational Mathematics and Cybernetics. 🎓 With a stellar academic record, she achieved a remarkable GPA of 4.89 out of 5.0 during her Bachelor’s program from September 2019 to June 2023. 🌐 Ekaterina’s unwavering dedication to excellence in the realm of computational mathematics and cybernetics is evident in her educational journey. 🚀 As a Junior Research Scientist at MSU Graphics & Media Lab since September 2021, based in Moscow, Russia, she actively contributes to pioneering research in image and video quality metrics, specializing in vulnerability analysis. 🖥️ Ekaterina played a key role in the team’s accomplishment of releasing the largest benchmark on video quality metrics robustness analysis. 💡 Additionally, her role as a Junior Developer at MSU Video Codecs Comparisons (June 2022 – October 2023) involves meticulous measurement of cloud video codec services and insightful report preparation, showcasing her commitment to advancing research and development in graphics, media, and video codec technologies. 🌐 Deeply immersed in cutting-edge research, her primary focus includes video quality metrics, adversarial attacks, and Computer Vision, collectively contributing to the advancement of multimedia technologies and demonstrating a dynamic engagement with the intricacies of video quality and security in the evolving landscape of Computer Vision. 🚀✨

🎓 Education : 

👩‍🎓 Ms. Ekaterina Shumitskaya is currently on a scholarly journey at Lomonosov Moscow State University, specializing in Computational Mathematics and Cybernetics. 🌐 Engaged in pursuing a Master’s degree in Computer Science since September 2023, Ekaterina has already showcased her academic prowess during her Bachelor’s program, where she excelled with a remarkable GPA of 4.89 out of 5.0, completing her Bachelor of Computer Science from September 2019 to June 2023. 🏫 Her dedication to the field is evident, and her educational path reflects a commitment to excellence in the realm of computational mathematics and cybernetics. 🚀📚

🌐 Professional Profiles : 

Google Scholar

💻 Experience :

👩‍🔬 Ms. Ekaterina Shumitskaya has been making significant strides in the field of research and development, currently serving as a Junior Research Scientist at MSU Graphics & Media Lab since September 2021. 🌐 Located in Moscow, Russia, she actively contributes to the exploration of image and video quality metrics performance, specializing in vulnerability analysis. Ekaterina played a pivotal role in the team’s accomplishment of releasing the largest benchmark on video quality metrics robustness analysis. 🚀 Additionally, her expertise extends to her role as a Junior Developer at MSU Video Codecs Comparisons from June 2022 to October 2023. In this capacity, she meticulously measured the results of cloud video codec services, conducted thorough analyses, and prepared insightful reports. 💻📊 Ekaterina’s multifaceted experience reflects her dedication to advancing research and development in the realm of graphics, media, and video codec technologies.

🧠 Research Interests 🔬🌐 :

👩‍💻 Ms. Ekaterina Shumitskaya is deeply immersed in the realm of cutting-edge research, with a primary focus on video quality metrics, adversarial attacks, and Computer Vision. 🎥 Her keen interest in video quality assessment and robustness verification is evident in her work, demonstrating a commitment to ensuring the reliability and resilience of multimedia systems. 🌐 Ekaterina’s expertise extends to adversarial attacks and vulnerability analysis, where she explores innovative approaches to fortify systems against potential threats. 💡 Her diverse research interests collectively contribute to the advancement of multimedia technologies, showcasing a dynamic engagement with the intricacies of video quality and security in the evolving landscape of Computer Vision. 🚀🔍

Publications Top Notes  :

1.  Universal perturbation attack on differentiable no-reference image-and video-quality metrics

Published Year : 2022, Cited By: 6

2.  Towards adversarial robustness verification of no-reference image-and video-quality metrics

Published Year : 2023

3.  Comparing the robustness of modern no-reference image-and video-quality metrics to adversarial attacks

Published Year : 2023

4.  Fast Adversarial CNN-based Perturbation Attack on No-Reference Image-and Video-Quality Metrics

Published Year : 2023