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

 

 

Deming Li | Machine learning | Best Researcher Award

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Assoc Prof Dr. Deming Li | Machine learning | Best Researcher Award

Associate professor at Jilin international studies university, China

Dr. Deming Li is an accomplished researcher with a strong focus on digital education, particularly in the realm of preschool education and the application of advanced technologies like machine learning, blockchain, and IoT. He holds a Doctorate in Business Administration (DBA) and serves as an Associate Professor and Master’s Supervisor at Jilin International Studies University. He also holds significant academic part-time positions as Chief Editor and Associate Editor of international journals related to education. Dr. Li has authored several high-impact articles in prestigious journals and has led various educational projects supported by notable organizations.

 

📝professional profile

ORCID

🎓Educational Details:

Dr. Deming Li’s educational background is rooted in advanced studies that have significantly contributed to his expertise in digital education. He earned his Doctorate in Business Administration (DBA) from the prestigious Université de Montpellier. This advanced degree has provided him with a strong foundation in research methodologies and educational leadership, which he has applied throughout his academic career. In addition to his doctoral studies, Dr. Li has continued to enhance his knowledge and skills through various professional development opportunities, allowing him to stay at the forefront of the rapidly evolving field of digital education. His educational journey has equipped him with the tools necessary to integrate cutting-edge technologies into educational practices, particularly in the realm of preschool education, where his work has made a profound impact.

👨‍🏫Experience:

Dr. Deming Li is an esteemed researcher and academic with a significant focus on digital education, particularly in the area of preschool education. He currently holds the position of Associate Professor and Master’s Supervisor at Jilin International Studies University. In addition to his academic roles, Dr. Li is a Researcher at the Shanghai Institute of Lifelong Education at East China Normal University. His academic journey includes earning a Doctorate in Business Administration (DBA) from Université de Montpellier.

Dr. Li has made notable contributions to the academic community through his extensive research and publications. He has authored numerous articles in high-impact journals, including SSCI, SCI, and EI-indexed journals, where his work on machine learning, neural networks, blockchain, and IoT technology in education has gained significant recognition. Some of his papers have been highlighted as hot papers, reflecting their influence in the academic world.

Beyond his research, Dr. Li has demonstrated leadership in the academic publishing arena. He serves as the Chief Editor of the international journal “Innovation and Practice of Teaching Methods” and as an Associate Editor for the “Journal of Education Theory and Management.” These roles underscore his influence in shaping the discourse within the field of education.

Awards and Honors:

Dr. Deming Li has earned numerous awards and honors throughout his distinguished career in digital education. His contributions have been recognized by various academic and professional organizations, reflecting his leadership and innovation in the field. He has been the recipient of several prestigious grants, including those from the Ministry of Education, the Chinese Society of Education, and the Shanghai Municipal Education Commission, underscoring the impact and relevance of his research. Additionally, Dr. Li’s work has been acknowledged with accolades for his high-impact publications, some of which have been classified as hot papers, placing them among the top 1% in their field. His editorial roles in leading international journals also speak to his esteemed reputation within the academic community, further solidifying his status as a thought leader in digital education. These awards and honors not only highlight Dr. Li’s exceptional contributions to advancing educational practices through technology but also reinforce his standing as a pioneering researcher in the global academic landscape.

Conclusion:

Dr. Deming Li is a strong candidate for the Research for Best Researcher Award. His prolific contributions to digital education, particularly his innovative application of advanced technologies in preschool education, set him apart in his field. His leadership in academic publishing and project management further highlights his suitability for this award. Addressing the areas for improvement, such as expanding the practical impact of his research and fostering more interdisciplinary and international collaborations, could elevate his work even further. Overall, Dr. Li’s achievements and ongoing contributions make him a deserving contender for this prestigious recognition.

📚Publications to Noted

  • Title: An interactive teaching evaluation system for preschool education in universities based on machine learning algorithm
    Journal: Computers in Human Behavior
    Year: 2024
    DOI: 10.1016/j.chb.2024.108211
    ISSN: 0747-5632
    Author: Deming Li
  • Title: Research on Family Safety Education for Pre-school Children in China
    Journal: The Educational Review, USA
    Year: 2024
    DOI: 10.26855/er.2024.01.023
    ISSN: 2575-7938, 2575-7946
    Author: Deming Li
  • Title: Performance Evaluation of Special Fund for Chinese Private Education: Logic and Index System
    Journal: Journal of Humanities, Arts and Social Science
    Year: 2023
    DOI: 10.26855/jhass.2023.11.025
    ISSN: 2576-0556, 2576-0548
    Author: Deming Li
  • Title: Theory and Practice of Preschool Education Digitalization
    Publisher: UK Scientific Publishing
    Year: 2023
    Type: Book
    Author: Deming Li
  • Title: Computerized Data Analysis of the Current Situation of Children’s Psychological Education Using Big Data
    Journal: Computer-Aided Design and Applications
    Year: 2023
    DOI: 10.14733/cadaps.2024.S9.152-160
    Source: Crossref
    Author: Deming Li
  • Title: Visual Analysis of the Integration of Traditional Chinese Culture into Preschool Education
    Journal: The Educational Review, USA
    Year: 2023
    DOI: 10.26855/er.2023.08.024
    ISSN: 2575-7938, 2575-7946
    Author: Deming Li
  • Title: Research Hotspots and Future Trends of Digital Competence of Preschool Teachers Based on Citespace Analysis
    Journal: Heilongjiang Science
    Year: 2023
    Author: Deming Li
  • Title: Exploring the Computational Effects of Advanced Deep Neural Networks on Logical and Activity Learning for Enhanced Thinking Skills
    Journal: Systems
    Year: 2023
    DOI: 10.3390/systems11070319
    Source: Crossref
    Author: Deming Li
  • Title: Research map of the hot spots and future trends of foreign basic education reform in recent 20 years
    Journal: Journal of Comparative Education
    Year: 2023
    Author: Deming Li
  • Title: The Concept of Higher Education Quality Evaluation based on Big Data Analysis
    Journal: BCP Social Sciences & Humanities
    Year: 2022
    DOI: 10.54691/bcpssh.v20i.2158
    ISSN: 2692-6172
    Author: Deming Li

 

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