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

 

 

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