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

 

 

Ehsan Adibnia | Automated Learning | Best Researcher Award

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Dr. Ehsan Adibnia | Automated Learning | Best Researcher Award

Ph.D. Candidate at University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a Ph.D. candidate in Electrical Engineering at the University of Sistan and Baluchestan, Iran. His expertise spans artificial intelligence, machine learning, nanophotonics, optics, plasmonics, and their interdisciplinary applications. Currently focused on research in deep learning, photonics, and nanophotonics, he applies advanced simulation software and programming languages like Python, MATLAB, and Visual Basic. Ehsan is also actively involved in academic committees, including the 27th Iranian Conference on Optics and Photonics. He has authored multiple scientific publications in renowned journals and contributed to reviews in the fields of industrial electronics and artificial intelligence. Through his work, he is pushing the boundaries of knowledge in areas like optical switching, biosensors, and quantum physics. His goal is to drive innovation through interdisciplinary research and provide impactful solutions for modern technological challenges. 🌐📚

professional profiles📖

Scopus Profile

ORCID

Education 🎓

Ehsan Adibnia completed his B.S. in Electrical Engineering from the University of Sistan and Baluchestan, Zahedan, Iran, in 2014. He is currently pursuing his Ph.D. in Electrical Engineering at the same institution, focusing on deep learning, nanophotonics, and machine learning applications in optics and plasmonics. His academic journey has been marked by a passion for integrating artificial intelligence with photonic technologies, a field that promises significant advancements in both theoretical and practical applications. Ehsan’s research also delves into quantum physics, solid-state physics, and biosensors. As part of his education, he is using programming tools such as MATLAB, Python, and specialized software like COMSOL and Lumerical to implement algorithms and analyze data. His academic achievements reflect his commitment to pushing the boundaries of electrical engineering and contributing to the growing body of knowledge in the interdisciplinary areas of his research. 🎓🔬

work Experience💼

Ehsan Adibnia’s professional experience spans both academia and industry. He has contributed significantly to research projects in the areas of artificial intelligence, deep learning, and photonics, publishing several papers in high-impact journals such as Scientific Reports and Optics & Laser Technology. He is a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and has reviewed papers for multiple journals, including the International Journal of Industrial Electronics Control and Optimization. On the industrial side, Ehsan worked as a key member of the team responsible for PLC programming at Kerman Motor automotive factory, where he upgraded the paint shop’s PLC system to eliminate production line issues and improve safety. His technical expertise includes programming Mitsubishi PLCs and using software like Simatic Manager. Through this combination of academic research and practical experience, Ehsan has honed skills essential for technological innovation and system optimization. 🔧📊

Awards and Honors

Ehsan Adibnia’s work has been recognized both academically and professionally. He has received numerous accolades for his research in nanophotonics, machine learning, and optics. His contributions to the field of deep learning in photonics earned him recognition in the Scientific Reports, where several of his papers were published in 2023 and 2024. Ehsan has been awarded for his involvement in the executive committee of the Iranian Conference on Optics and Photonics, a prestigious academic event in the field. His technical expertise in PLC programming and systems optimization at Kerman Motor led to significant cost savings, preventing incidents and improving operational efficiency. Ehsan’s ongoing work in integrating machine learning with photonic design has positioned him as a leading figure in these cutting-edge fields. He is committed to contributing to the global community of researchers in his areas of expertise. 🏆🎖️

Research Focus

Ehsan Adibnia’s research focus centers on the integration of artificial intelligence, deep learning, and photonics to solve complex engineering challenges. Specifically, he explores the use of deep learning methods for the inverse design of all-optical nonlinear plasmonic ring resonator switches and the development of nanophotonic structures for switching applications. His work also extends to quantum physics, solid-state physics, and the application of machine learning in biosensors. One of his major research projects involves spectral prediction and inverse design of optical components using deep learning techniques, aiming to enhance the quality and performance of optical systems. His interdisciplinary approach combines fundamental physics with computational techniques to design innovative solutions in nanophotonics, optics, and plasmonics. Ehsan’s research aims to advance the theoretical understanding and practical applications of these technologies, with potential impacts on telecommunications, biomedical sensors, and quantum computing. 🔬💡

Skills

Ehsan Adibnia possesses a diverse set of skills essential for research and development in electrical engineering, nanophotonics, and machine learning. He is proficient in programming languages like MATLAB, Python, and Visual Basic, allowing him to develop algorithms and analyze large datasets. His expertise extends to simulation software such as Lumerical, COMSOL, and RSoft for photonics, making him adept at designing and simulating optical systems. Additionally, Ehsan is skilled in quantum physics, solid-state physics, and optoelectronics, focusing on the integration of artificial intelligence with photonic systems. He is also experienced in PLC programming, having worked on Mitsubishi and Siemens PLCs in the industrial sector. His contributions to deep learning, neural networks, and optical switching further highlight his broad technical knowledge. Moreover, Ehsan has experience with biosensors, metamaterials, and optical switching technologies. His interdisciplinary expertise makes him a versatile and innovative researcher in advanced engineering fields. 💻⚙️

Conclusion✅

Ehsan Adibnia is highly deserving of the Best Researcher Award due to his groundbreaking research in areas like nanophotonics, artificial intelligence, and deep learning, as well as his ability to apply these fields to real-world problems. His research not only pushes the boundaries of knowledge but also demonstrates significant industrial and societal impact. With continued development in international collaborations and public outreach, he is poised to become a leading figure in both academic and industry circles. His track record of innovative research, technical expertise, and academic contributions makes him an outstanding candidate for this prestigious award.

 

📚Publications to Noted

Chirped Apodized Fiber Bragg Gratings Inverse Design via Deep Learning

Authors: Ehsan Adibnia, V. Sepahvandi, M.A. Mansouri-Birjandi

Citations: Not available

Year: 2025

DOI: 10.1016/J.OPTLASTEC.2024.111766

High-speed All-optical Symmetric 4 × 2 Encoder Using Interface Effects in Two-dimensional Photonic Crystals

Authors: M. Shahi, H. Saghaei, T. Nurmohammadi, F. Bahloul, B. Jafari, A.S. Karar, Ehsan Adibnia

Citations: Not available

Year: 2024

DOI: 10.1364/AO.546599

A Compact and Fast Resonant Cavity-Based Encoder in Photonic Crystal Platform

Authors: M. Soroosh, F.K. AL-Shammri, M.J. Maleki, V.R. Balaji, Ehsan Adibnia

Citations: Not available

Year: 2024

DOI: 10.3390/cryst15010024

Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning

Authors: Ehsan Adibnia, M. Ghadrdan, M.A. Mansouri-Birjandi

Citations: Not available

Year: 2024

DOI: 10.1038/s41598-024-72125-4

Highly Sensitive Label-Free Biosensor: Graphene/CaF₂ Multilayer for Gas, Cancer, Virus, and Diabetes Detection with Enhanced Quality Factor and Figure of Merit

Authors: B. Jafari, E. Gholizadeh, B. Jafari, Ehsan Adibnia et al.

Citations: Not available

Year: 2023

DOI: 10.1038/S41598-023-43480-5

Optimization in Engineering (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: 2023

Link: Press USB

Physical Foundations of Solid-State Devices (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: 2021

DOI: 10.13140/RG.2.2.11757.56806

Link: Press USB

The AI Diagnostician: Improving Medical Diagnosis with Artificial Intelligence (Book)

Authors: Ehsan Adibnia

Citations: Not available

Year: Not available

DOI: 10.5281/zenodo.11266851

 

 

Taha Etem | Deep Learning | Best Researcher Award

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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