Feudjio Ghislain | Deep Learning | Best Research Article Award

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Mr. Feudjio Ghislain | Deep Learning | Best Research Article Award

Academician at University of Dschang, Cameroon.

Feudjio Ghislain, born on March 24, 1986, in Batcham, Cameroon, is a dedicated educator and researcher in electronics and applied physics. He is a Technical and Professional Education Teacher at Government Technical High School of Bangou and a Part-time Lecturer at Fotso Victor University Institute of Technology, University of Dschang. With a strong background in electronics, he has mentored students in various technical domains and supervised numerous academic projects. His research focuses on image classification, segmentation, deep learning, and machine learning. Ghislain has actively participated in multiple academic conferences and seminars. His passion for education, research, and technological advancement drives his contributions to academia and industry. Beyond academia, he is actively involved in community development initiatives and enjoys reading, music, and sports.

Professional Profiles📖

Scopus 

Education 🎓

Feudjio Ghislain is currently in his third year of a Doctorate/Ph.D. in Physics, specializing in Electronics at the University of Dschang, Cameroon. He holds a Master of Science in Physics (2019–2020) from the same university, where he specialized in Electronics with a ‘Good’ grade. His academic journey includes a DIPET II (2011) from HTTTC Douala, University of Douala, specializing in Electronics, a Bachelor of Science in Physics (2007) from the University of Dschang with a ‘Fairly good’ grade, and a Baccalaureate in Science (2004) from Lycée de Batcham. His academic progression showcases a consistent focus on electronics and applied physics, equipping him with in-depth expertise in his field.

work Experience💼

Feudjio Ghislain has been a part-time and professional teacher at the Fotso Victor University Institute of Technology (IUT-FV of Bandjoun) at the University of Dschang since 2018, teaching courses in Electrotechnics, Electronic Systems Maintenance, and Electrical Engineering. His subjects range from electronic construction to telecommunications and microcontroller applications. Since 2012, he has also served as an Electronics Teacher at the Government Technical High School of Bangou, teaching digital circuits, solar energy, and maintenance troubleshooting. His responsibilities extend to supervising final-year projects and serving on examination committees. Between 2020 and 2022, he was a part-time lecturer at the Evangelical University of Cameroon, teaching Biomedical Engineering. His expertise in teaching spans various educational levels, contributing significantly to the professional and technical development of students.

Research Focus

Feudjio Ghislain‘s research interests encompass image classification and segmentation, deep learning, and machine learning. His Ph.D. research focuses on the real-time analysis of medical images using second-generation wavelets, under the guidance of Professor TCHIOTSOP Daniel at the University of Dschang. His Master’s thesis explored embedded image processing systems for medical diagnostics, while his DIPET II research delved into spectral texture analysis using wavelets. His projects reflect a strong inclination toward practical and impactful applications of artificial intelligence in medical imaging and electronics. Through participation in conferences and research collaborations, he remains at the forefront of innovation in AI-based image processing.

Awards & Honors🏆 

Feudjio Ghislain has been recognized for his outstanding contributions to technical education and research. His dedication to advancing electronics education has earned him several professional affiliations, including membership in the SciPinion Scientific Community since 2024. He has also played a significant role in academic committees, acting as a referee for esteemed international journals like Heliyon and Computers in Biology and Medicine. His influence extends beyond the classroom, where he has contributed to organizing and evaluating national examinations. His research and teaching contributions have solidified his reputation as a committed educator and researcher in applied electronics and image processing.

Conclusion✅

Feudjio Ghislain is a strong candidate for the Best Researcher Article Award due to his expertise in electronics, image processing, and machine learning, alongside his teaching, peer-review, and project supervision roles. However, expanding his publication record in indexed journals, securing research funding, and increasing global collaborations would further strengthen his application for such a prestigious award.

Publications to Noted 📚

Title: “An improved semi-supervised segmentation of the retinal vasculature using curvelet-based contrast adjustment and generalized linear model”

Authors: Feudjio Ghislain​, Saha Tchinda Beaudelaire​, Tchiotsop Daniel

Sina Saadati | Artificial Intelligence | Best Scholar Award

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Mr. Sina Saadati | Artificial Intelligence | Best Scholar Award

Researcher at Amirkabir University of Technology ,Iran

Sina Saadati is a dedicated researcher and academic specializing in Computer Science, Artificial Intelligence, and Computational Modeling. With a strong background in AI-driven medical applications, robotics, and software engineering, he has contributed significantly to high-impact journals and conferences. He has served as an instructor, peer reviewer, and mentor, influencing the next generation of AI researchers. Sina’s expertise extends to distributed computing, IoT, and human motion analysis, making him a prominent figure in cutting-edge technological advancements.

professional profiles📖

Scopus

Education 🎓

Sina earned his B.Sc. in Computer Engineering from the University of Isfahan, securing a stellar GPA of 18.13/20 (3.82/4) and ranking as the top student. He pursued his M.Sc. in Computer Science at Amirkabir University of Technology (Tehran Polytechnic), achieving a perfect GPA of 19.10/20 (4.0/4) and again ranking at the top. His institutions hold esteemed global rankings, showcasing his academic excellence in engineering and AI research.

work Experience💼

Sina has extensive experience as an instructor and teaching assistant in multiple universities, including Amirkabir University and the University of Isfahan. His teaching roles span subjects like Machine Learning, Compiler Design, Cloud Computing, and Advanced Programming. As a peer reviewer for high-impact journals, he has contributed to maintaining rigorous academic standards. Additionally, he has spearheaded various AI and IoT-based research projects, demonstrating practical applications of his expertise.

Research Focus

Sina’s research is at the intersection of AI, robotics, and medical technology. His focus areas include computer vision for robotic surgery, agent-based modeling of human motion, and distributed AI for disease detection. His groundbreaking work on endometriosis surgery automation, skin cancer detection, and IoT-based gait analysis has set new benchmarks in AI-driven healthcare advancements.

Skill

Sina has a strong technical background in programming, artificial intelligence, databases, cloud computing, and software development. He is proficient in multiple programming languages, including C, C++, C#, Java, Python, PHP, and JavaScript, which enables him to develop a wide range of software applications. His expertise in AI & Machine Learning covers advanced frameworks like TensorFlow, Keras, Scikit-learn, and Segmentation Models, allowing him to design and implement intelligent solutions for medical imaging, automation, and deep learning tasks. In database management, he has experience working with MySQL and SQLServer, handling structured data for complex applications. His knowledge extends to Cloud & Distributed Computing, where he has utilized RepastJ, Arduino, and the Sina Distributed File System (SDFS) for scalable and resilient systems. Additionally, he has contributed to Software Development, focusing on GUI principles, IoT applications, and human motion analysis, leading to innovative solutions in healthcare and robotics.

Conclusion✅

Sina Saadati is a highly suitable candidate for the Best Scholar Award due to his exceptional academic achievements, research innovations, and contributions to artificial intelligence, robotics, and medical computing. His work demonstrates significant scholarly impact and aligns with the criteria for this prestigious recognition. With minor improvements in international collaborations and industry outreach, he can further cement his position as a leading researcher in his domain.

 

📚Publications to Noted

 

Cloud and IoT-Based Smart Agent-Driven Simulation of Human Gait for Detecting Muscle Disorder 🚶

Authors: Sina Saadati, Abdolah Sepahvand, Mohammadreza Razzazi

Journal: Heliyon

Year: 2025

 

Agent-Based Modeling and Simulation of Human Muscle 🏃

Authors: Sina Saadati

ISBN: 978-622-08-5607-8

 

Philosophy of Photography 📸

Authors: Sina Saadati

ISBN: 978-622-08-7382-2

 

 

Rahaf Alsuhaimi | Machine Learning | Best Researcher Award

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Yi Zi Lu | Artificial Intelligence | Best Researcher Award

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Ms. Yi Zi Lu | Artificial Intelligence | Best Researcher Award

Student at Tianjin University of Commerce, China

Ms. Yi Zi Lu is a talented researcher and current Master’s student in Information and Communication Engineering at Tianjin University of Commerce, China. With a Bachelor’s degree in Automation, she has developed a strong academic foundation in Artificial Intelligence, focusing on Natural Language Processing (NLP). Her primary research revolves around deep learning, recommendation systems, and intelligent algorithms. Notably, her study titled “Hybrid News Recommendation Method Based on Title-Content Matching” addresses the challenge of inaccurate user interest modeling in news recommendation systems. By utilizing innovative techniques such as interactive attention networks and Siamese Neural Networks, her research enhances recommendation accuracy, showcasing her ability to tackle complex problems with creative solutions.

 

📝professional profile

ORCID

🎓Educational Details:

Ms. Yi Zi Lu holds a Bachelor’s degree in Automation from Tianjin University of Commerce, China, and is currently pursuing a Master’s degree in Information and Communication Engineering at the same institution. Her specialization in Artificial Intelligence, particularly in Natural Language Processing, showcases her strong academic foundation and focus on cutting-edge technologies.

👨‍🏫Innovation and Extension Activities:

Ms. Lu’s research is innovative, combining neural collaborative filtering and factorization machines to tackle the challenges of title-content mismatching. This approach highlights her ability to think creatively and develop solutions with practical applications. Her work has the potential to influence the development of more accurate and user-centric recommendation systems, indicating her commitment to advancing technology in her field.

Recognition and Professional Impact:

Although Ms. Lu is still a student, her contributions to the field of Artificial Intelligence are noteworthy. Her research has been published in reputable journals, and her involvement in cutting-edge projects positions her as a promising researcher. With a focus on deep learning and AI, her work is aligned with current technological trends, making her a valuable asset to the research community.

Research :

Ms. Lu has a solid research portfolio with a focus on deep learning, recommendation systems, and intelligent algorithms. Her notable research, titled “Hybrid News Recommendation Method Based on Title-Content Matching,” addresses critical issues in news recommendation systems. The study enhances user interest modeling by utilizing an interactive attention network and Siamese Neural Network, resulting in improved recommendation performance. This research has been validated through experiments and published in peer-reviewed journals, demonstrating her ability to contribute to the academic community.

Conclusion:

Ms. Yi Zi Lu’s academic background, research contributions, and innovative approach make her a strong candidate for the Best Researcher Award. Her work in Artificial Intelligence and Natural Language Processing, particularly in developing advanced recommendation systems, demonstrates her potential to make significant contributions to the field. While she is still early in her career, her achievements thus far suggest a promising future, making her deserving of recognition through this award.

📚Publications to Noted

The publication titled “A Hybrid News Recommendation Approach Based on Title–Content Matching” was published in the journal Mathematics in July 2024. The article’s DOI is 10.3390/math12132125. The authors of this publication are:

Shuhao Jiang

Yizi Lu

Haoran Song

Zihong Lu

Yong Zhang​

 

Subhayu Ghosh | Artificial Intelligence | Best Researcher Award

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Mr. Subhayu Ghosh | Artificial Intelligence | Best Researcher Award

 

PhD Scholar at National Institute of Technology Durgapur, India

Subhayu Ghosh is a full-time Ph.D. research scholar in the Department of Computer Science and Engineering at the National Institute of Technology Durgapur, India. His research interests encompass audio and speech processing, biomedical image processing, multi-modal artificial intelligence, generative artificial intelligence, and machine learning and deep learning. With a strong academic background and several notable achievements, Ghosh demonstrates significant potential and dedication to his field.

 

📝professional profile

ORCID

Scopus Profile

Google Scholar

🎓Educational Details:

Subhayu Ghosh’s academic journey is impressive, beginning with his high school education at Burdwan Municipal High School, where he achieved outstanding results in both secondary (94%) and higher secondary (91.6%) examinations. He earned his B.Tech in Computer Science and Engineering from the National Institute of Technology Durgapur with a CGPA of 7.97. His undergraduate project focused on regional speaker identification using convolutional neural networks, supervised by Dr. Nanda Dulal Jana. Ghosh is currently pursuing his Ph.D. at the same institution, with a thesis titled “Generative Artificial Intelligence Based Audio-Visual Speech Synthesis: Some Advanced Approaches,” under the supervision of Dr. Nanda Dulal Jana. He is expected to submit his thesis in November 2025.

👨‍🏫Professional Experience:

Ghosh’s professional experience includes teaching assistance roles for both B.Tech and M.Tech courses at the National Institute of Technology Durgapur. He has assisted in labs focusing on modeling and simulation in Python, object-oriented programming in C++, and networking and data communication in Python. Additionally, Ghosh has a robust technical skill set, including expertise in machine learning, deep learning, optimization techniques, data structures, socket programming, and proficiency in various programming languages such as C++, Python, and C.

Research :

Ghosh has made notable contributions to his field through various research endeavors. He has authored three journal papers, two conference papers, and five book chapters, amassing a cumulative impact factor of 8.3 and nine Google Scholar citations. His work in machine learning, deep learning, and artificial intelligence has been well-received, evidenced by his participation as a Technical Program Committee reviewer for the IEEE 42nd International Joint Conference on Neural Networks (IJCNN-2024) and his selection as a travel grant recipient from the IEEE Computational Intelligence Society for the World Congress on Computational Intelligence (WCCI-2024).

Conclusion:

Subhayu Ghosh’s comprehensive academic background, significant research contributions, professional experience, and active engagement in both academic and extracurricular activities make him a highly suitable candidate for the Research for Best Researcher Award. His dedication to advancing the field of computer science and engineering, coupled with his demonstrated expertise and achievements, underscores his potential as an outstanding researcher. Ghosh’s work in generative artificial intelligence, audio and speech processing, and other cutting-edge areas of research positions him as a promising leader and innovator in his field.

📚Publications to Noted

Title: Rectified Adam Optimizer-Based CNN Model for Speaker Identification

Authors: A. Mazumder, S. Ghosh, S. Roy, S. Dhar, N.D. Jana

Publication: Advances in Intelligent Computing and Communication: Proceedings of ICAC

Year: 2022

Citations: 6

Title: Region Normalized Capsule Network Based Generative Adversarial Network for Non-Parallel Voice Conversion

Authors: M.T. Akhter, P. Banerjee, S. Dhar, S. Ghosh, N.D. Jana

Publication: International Conference on Speech and Computer

Pages: 233-244

Year: 2023

Citations: 3

Title: CCLCap-AE-AVSS: Cycle Consistency Loss Based Capsule Autoencoders for Audio–Visual Speech Synthesis

Authors: S. Ghosh, N.D. Jana, T. Si, S. Mallik, M.A. Shah

Publication: Journal of Intelligent Systems

Volume: 33 (1)

Article Number: 20230171

Year: 2024

Title: Audio-Visual Speech Synthesis Using Vision Transformer–Enhanced Autoencoders with Ensemble of Loss Functions

Authors: S. Ghosh, S. Sarkar, S. Ghosh, F. Zalkow, N.D. Jana

Publication: Applied Intelligence

Volume: 54 (6)

Pages: 4507-4524

Year: 2024

Title: Melanoma Skin Cancer Detection Using Ensemble of Machine Learning Models Considering Deep Feature Embeddings

Authors: S. Ghosh, S. Dhar, R. Yoddha, S. Kumar, A.K. Thakur, N.D. Jana

Publication: Procedia Computer Science

Volume: 235

Pages: 3007-3015

Year: 2024