Abdalilah Alhalangy | Computer Science | Innovative Research Award

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Assoc. Prof. Dr. Abdalilah Alhalangy | Computer Science | Innovative Research Award

Qassim university | Saudi Arabia

Assoc. Prof. Dr. Abdalilah Alhalangy, Ph.D., is an Associate Professor in Computer Engineering at Qassim University, Kingdom of Saudi Arabia, specializing in advanced areas of artificial intelligence, machine learning, intelligent systems, and cybersecurity. His research spans deep learning, ensemble methods, neural networks, computer vision, wireless networks, cloud computing, big data analytics, robotics, augmented reality, mobile applications, image and video analysis, GIS, and e-learning systems. He has a particular focus on artificial neural networks, wavelet neural networks, fuzzy logic, evolutionary algorithms, and computational intelligence, applied to enhancing the security and functional performance of intelligent systems. Dr. Al-Halangy has published 6 documents cited by 59 Scopus-indexed papers, achieving a Scopus h-index of 3 and an i10-index of 2 on Google Scholar, with a total of 131 citations. His work has earned recognition in fields ranging from Arabic speech emotion recognition and fake account detection in mobile networks to generative AI-driven cybersecurity systems and the evaluation of e-learning effectiveness. Dr. Al-Halangy’s research is characterized by its innovative integration of AI techniques to solve complex real-world problems, positioning him as a leading contributor to modern computing challenges. He has received accolades including the Innovative Research Award for his contributions to the development of secure, intelligent, and efficient computational systems. His work continues to impact both academic research and practical applications, advancing the state of intelligent and adaptive technologies globally.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Alhalangy, A., & AbdAlgane, M. (2023). Exploring the impact of AI on the EFL context: A case study of Saudi universities.

  • Alhalangy, A. (2024). Deep learning, ensemble and supervised machine learning for Arabic speech emotion recognition. Engineering, Technology & Applied Science Research, 14, 1-10.

  • Hassan, A., & Alhalangy, G. I. A. (2023). Fake accounts identification in mobile communication networks based on machine learning. SSRN.

  • Alhalangy, A., Elhadi, O. A. M., & Mohamed, E. H. G. (2025). E-learning effectiveness and efficiency in Kassala and Gedaref universities: An IS-impact evaluation. UtilitasMathematica, 122(2), 1301-1317.

  • Alhalangy, A. (2025). Generative AI-driven information system for behavioral detection of zero-day cyber attacks. UtilitasMathematica, 122(2), 1194-1210.

Mingyue Zhang | Artificial Intelligence | Best Researcher Award

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Dr. Mingyue Zhang | Artificial Intelligence | Best Researcher Award

University of South China | China

Dr. Mingyue Zhang, Ph.D., is a dynamic researcher in computer vision, intelligent systems, and human–computer interaction, currently serving in the field of computer science with a focus on gesture recognition and lightweight deep learning models for edge devices. His research integrates advanced computer vision algorithms with human–machine collaboration, emphasizing intelligent gesture recognition for rehabilitation training, embedded AI, and Internet of Things (IoT)-enabled systems. Dr. Zhang has significantly contributed to developing efficient algorithms such as lightweight convolutional neural networks, adaptive Kalman filtering, and multi-sensor fusion frameworks, which enhance real-time performance in gesture estimation, object tracking, and assistive technologies. His innovative work bridges the gap between deep learning theory and practical deployment on embedded systems and mobile platforms. With over 25 publications in high-impact journals indexed in SCI and EI, including IEEE Internet of Things Journal, Expert Systems with Applications, IEEE Access, and Journal of Supercomputing, his research has achieved growing academic recognition. Dr. Zhang’s work has been widely cited across the global impact of his contributions in computer vision and artificial intelligence. His research is currently supported by the Hunan Provincial Department of Science and Technology, focusing on intelligent gesture recognition in rehabilitation. In recognition of his outstanding contributions to scientific innovation and scholarly excellence, Dr. Zhang is honored with the Best Researcher Award for his pioneering advancements in AI-driven human–computer interaction and lightweight network modeling.

Publication Profile

Orcid

Featured Publications

  • Jiang, C., Zhang, M., Wang, Y., & Zhang, A. (2025). AHMOT: Adaptive Kalman Filtering and Hierarchical Data Association for 3D Multi-Object Tracking in IoT-Enabled Autonomous Vehicles. IEEE Internet of Things Journal.

  • Zhang, M., Zhou, Z., Tao, X., & Deng, M. (2023). Hand pose estimation based on fish skeleton CNN: Application in gesture recognition. Journal of Intelligent & Fuzzy Systems, 44, 8029–8042.

  • Zhang, M., Zhou, Z., Wang, T., & Zhou, W. (2023). A lightweight network deployed on ARM devices for hand gesture recognition. IEEE Access, 11, 45493–45503.

  • Zhang, M., Zhou, Z., & Deng, M. (2022). Cascaded hierarchical CNN for 2D hand pose estimation from a single color image. Multimedia Tools and Applications, 81, 25745–25763.

  • Zhang, M., & Zhou, Z. (2025). Speed-accuracy trade-off in lightweight-based hand pose estimation. The Journal of Supercomputing, 81, 1212

Jinping Xue | Artificial Intelligence | Best Researcher Award

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Ms. Jinping Xue | Artificial Intelligence | Best Researcher Award

Renergy Overseas Limited | China

Ms. Jinping Xue is an emerging researcher and engineer specializing in the integration of Artificial Intelligence with sustainable urban environments. Her research focuses on Smart Cities, Industrial AI, Edge Intelligence, and Environmental AI—fields that explore how data-driven intelligence can transform urban infrastructure into more adaptive, efficient, and sustainable systems. She has made significant contributions to the development of a privacy-preserving AI framework for smart city environmental monitoring, integrating federated learning with LSTM and genetic algorithms to achieve high pollution source traceability accuracy while maintaining data privacy. Her interdisciplinary expertise bridges environmental modeling, urban systems optimization, and AI-driven perception technologies, contributing to innovative solutions in sustainable city management and smart mobility. Xue’s scholarly work demonstrates a strong interest in the application of distributed sensing and federated learning for pollution source analysis, contributing to the broader goal of achieving clean, data-secure, and intelligent urban ecosystems. She has collaborated with experts in environmental sensing and intelligent perception to enhance the real-time adaptability of urban monitoring systems. Her publications, indexed in Scopus and Google Scholar, reflect her growing impact in the domains of computational intelligence and environmental systems. With research outputs recognized in peer-reviewed international journals such as Sensors, her work has begun to gain citations across the environmental AI research community. Her citation records are progressively expanding, with verified documentation and indexing available through Scopus and Google Scholar, and her h-index count demonstrates her early but impactful research trajectory. Through her interdisciplinary approach, Xue continues to push the boundaries of AI applications for sustainable development and smart city transformation.

Publication Profile

Google Scholar

Featured Publications

Xue, J., Hu, X., Liu, Q., Yin, C., Ni, P., & Bo, X. (2025). Air pollutant traceability based on federated learning of edge intelligent perception agents. Sensors, 25(19), 6119.

 

 

Jesus Gil Ruiz | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Jesus Gil Ruiz | Artificial Intelligence | Best Researcher Award

European University of Madrid | Spain

Assist. Prof. Dr. Jesus Gil Ruiz is an International Doctor in Computer Science specializing in Artificial Intelligence with distinction of Outstanding, combining more than years of academic, research, and professional experience in AI, Digital Twins, and Digital Transformation. Based in Madrid, Spain, he is co-founder and Project Manager at PROJENER.AI, where he develops innovative AI-driven solutions to optimize project execution and business performance. He has served as Teaching and Research Staff (TRS) at the International University of La Rioja, where he held leadership roles as Deputy Director, Academic Director, and Executive Director of multiple master’s programs including AI, Digital Twins, and IoT. He is also a visiting professor at prestigious institutions such as EAE Business School, Universidad Europea de Madrid, and MIU Miami University. Recognized for his international collaborations and expertise, he actively contributes to academia, industry projects, and conferences while mentoring graduate students globally.

Profile:

Scopus

Google Scholar

Education:

Assist. Prof. Dr. Jesus Gil Ruiz has pursued an extensive academic journey, holding an International PhD in Computer Science with a focus on Artificial Intelligence from the International University of La Rioja, complemented by a Doctorate in Economics and Business from the International Iberoamerican University of Mexico. His education includes multiple executive and technical programs from top global universities, such as the Executive Program in Artificial Intelligence applied to Strategic Business Management at MIT and the Executive Program in Business Analytics at Wharton. He also holds a Master’s in Executive Business Administration (EMBA) and a Master’s in Financial Management and Cost Control from EAE Business School/University of Barcelona, alongside advanced master’s degrees in Project and Infrastructure Management from Polytechnic University of Catalonia. He further completed engineering studies in Industrial Organization, Civil Engineering, and Senior Industrial Engineering at the University of Cádiz. This strong multidisciplinary foundation equips him with the academic rigor to bridge AI, engineering, and management disciplines effectively.

Experience:

Assist. Prof. Dr. Jesus Gil Ruiz has accumulated of international experience spanning academia, industry, and entrepreneurship. As co-founder and Project Manager at PROJENER.AI, he leads AI-driven innovations to improve project execution and digital transformation strategies. His professional background includes leadership roles such as Project Director at Exceltic and Engineering Director in Africa for Isolux Corsan, overseeing projects across Europe, Africa, and the Americas. Earlier, he managed operations and projects at Técnicas Reunidas, SENER Engineering, and ABENGOA. In academia, he has served as TRS at the International University of La Rioja, directing master’s programs in Artificial Intelligence, Digital Twins, and IoT, while mentoring master’s theses annually. He is also an adjunct professor at EAE Business School and Universidad Europea de Madrid, teaching AI, Big Data, Data Visualization, and Project Management. His expertise extends to conferences, research publications, and collaborations with universities and technology companies worldwide.

Awards and Honors:

Assist. Prof. Dr. Jesus Gil Ruiz has been recognized for academic excellence and leadership. Early in his studies, he ranked second in his Industrial Engineering cohort and secured seventh place in his doctoral admissions at UNIR among seventy candidates. He has also been distinguished as an Outstanding International Doctor in Computer Science, acknowledging the quality and impact of his doctoral research in Artificial Intelligence. His leadership as Academic Director of digital transformation programs has been acknowledged internationally, particularly at MIU Miami University, where he successfully directed the Expert Program in Digital Project Management with over students enrolled. Beyond formal distinctions, his contributions have earned recognition through invitations to speak at prestigious conferences, seminars, and training events worldwide, showcasing his expertise in AI, Digital Twins, and Industry These honors highlight his reputation as both an innovative researcher and a highly respected academic and professional leader.

Research Focus:

Assist. Prof. Dr. Jesus Gil Ruiz research is centered on Artificial Intelligence, Digital Twins, and their applications in project management, renewable energy, and industrial transformation. His work focuses on developing hybrid AI models, combining neural networks, fuzzy systems, and evolutionary algorithms to solve complex real-world problems. His projects include predictive modeling in photovoltaic plants, supply chain optimization through IoT and data analytics, blockchain for financial transparency, and AI-driven recommendation systems. He has also pioneered research into digital twin technologies applied to sectors such as naval engineering, aerospace, agriculture, and energy, aiming to optimize performance, efficiency, and sustainability. directed master’s theses annually, he contributes significantly to academic research while fostering innovation in industry. His publications in international journals and conferences address cutting-edge topics like AI in project management, machine learning in renewable energy, and optimization of recommender systems, underscoring his commitment to bridging theory and practice for global impact.

Publication:

Title: The Application of Artificial Intelligence in Project Management Research: A Review
Year: 2021
Citations: 105

Title: Hybrid Machine Learning Techniques in the Management of Harmful Algal Blooms Impact
Year: 2023
Citations: 11

Title: Self-Sovereign Identity on the Blockchain: Contextual Analysis and Quantification of SSI Principles Implementation
Year: 2024
Citations: 10

Title: The Application of Artificial Intelligence Planning and Scheduling in Photovoltaic Plant Construction Projects
Year: 2025
Citations: 2

Title: Planificación y gestión de proyectos de plantas fotovoltaicas aplicando inteligencia artificial
Year: 2021
Citations: 2

Title: Artificial Intelligent Application in Project Management: An Algorithm Comparison for Solar Plants Planning Construction
Year: 2025

Title: Optimizing Photovoltaic Energy Prediction in Europe: Advanced AI Models for Sustainable Industrial Engineering
Year: 2024

Title: Optimization of Recommender Systems Using Particle Swarms
Year: 2023

Title: Proyecto de principales mecanismos de potencia de grúa pórtico móvil porta contenedores de 60 ton
Year: 2010

Conclusion:

Assist. Prof. Dr. Jesus Gil Ruiz stands out as a highly qualified candidate for the Best Researcher Award, with a strong blend of academic contributions, applied innovations, and global engagement. His pioneering efforts in applying AI and digital twins to complex industrial and business challenges highlight his relevance to contemporary scientific and technological advancement. With targeted efforts toward consolidating research impact and expanding international collaborations, he has the potential to further solidify his position as a leading figure in artificial intelligence and digital transformation research.

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