Jana Al Haj Ali | Computer Science and Artificial Intelligence | Best Researcher Award

Published on by Research Hypothesis

Mrs. Jana Al Haj Ali | Computer Science and Artificial Intelligence | Best Researcher Award

Mrs. Jana Al Haj Ali | Computer Science and Artificial Intelligence | PhD Student | University of Lorraine | France

Mrs. Jana Al Haj Ali is an accomplished researcher and PhD student in Computer Engineering, specializing in the design and implementation of cognitive digital twins for industrial applications. Her work integrates neuro-symbolic AI approaches to enable intelligent, adaptive, and human-centric human-robot interaction within cyber-physical systems. Through her innovative research, she has contributed to advancing the understanding of cognitive architectures, simulation models, and interoperability protocols, aiming to improve automation, safety, and efficiency in Industry 5.0 contexts. She is known for combining technical expertise, scientific rigor, and collaborative spirit to drive impactful solutions at the intersection of artificial intelligence, robotics, and cognitive systems.

Professional Profile 

Education

Mrs. Jana Al Haj Ali holds a Bachelor’s degree in Mathematics, followed by a Master’s degree in Mathematical Engineering for Data Science, which provided her with an interdisciplinary foundation in mathematical modeling, machine learning, and computational techniques. She is currently pursuing her doctoral studies in Computer Engineering at a leading research institute in France, where she is actively engaged in high-impact research focusing on cognitive digital twin technologies. Her educational background bridges mathematics, data science, and computer engineering, allowing her to approach complex research problems from both theoretical and applied perspectives.

Experience

Mrs. Jana Al Haj Ali has extensive research experience in the development of modular architectures for cognitive digital twins, focusing on emulation, cognition, and simulation functionalities. She has implemented cognitive exchange protocols between industrial robots and human operators, enabling adaptive reconfiguration of cyber-physical systems based on real-time cognitive feedback. She also completed a visiting research project at a prominent European research institute, where she designed cognitive models and integrated them into simulation environments to evaluate collaborative performance. Additionally, she has experience in data analysis, machine learning modeling, and physical risk estimation from her earlier research internships.

Research Interest

Her primary research interests include cognitive cyber-physical systems, cognitive digital twins, neuro-symbolic AI, knowledge representation, and human-robot collaboration. She is particularly focused on enhancing cognitive interoperability, developing architectures that combine deep learning with symbolic reasoning, and designing intelligent simulation frameworks that predict system behavior in real-time. Her work aims to address key challenges in Industry 5.0 by creating more resilient, adaptive, and human-centric automation solutions.

Award

Mrs. Jana Al Haj Ali has been recognized for her contributions through opportunities to present her research at prestigious international conferences, summer schools, and national symposia. Her participation in scientific events and collaboration with international research teams reflects her growing impact in the academic community. She is highly regarded for her ability to translate complex cognitive models into practical implementations, earning acknowledgment from peers and mentors for her innovative approach.

Selected Publication

  • Human Digital Twins: A Systematic Literature Review and Concept Disambiguation for Industry 5.0 (2025) – 45 citations

  • Cognition in Digital Twins for Cyber-Physical Systems and Humans: Where and Why? (2024) – 30 citations

  • Cognitive Architecture for Cognitive Cyber-Physical Systems (2024) – 28 citations

  • Cognitive Systems and Interoperability in the Enterprise: A Systematic Literature Review (2024) – 33 citations

Conclusion

Mrs. Jana Al Haj Ali is an outstanding candidate for this award, with a strong academic background, impactful research contributions, and a commitment to advancing the field of cognitive digital twins and human-robot collaboration. Her work demonstrates a unique combination of theoretical innovation and practical application, contributing to the future of intelligent and adaptive industrial systems. With a growing publication record, active participation in international collaborations, and dedication to knowledge dissemination, she is well positioned to emerge as a leader in cognitive cyber-physical systems research.

 

Zhibin Liu | Computer Science and Artificial Intelligence | Best Researcher Award

Published on by Research Hypothesis

Assoc. Prof. Dr. Zhibin Liu | Computer Science and Artificial Intelligence | Best Researcher Award

Associate professor | School of Computer Science Qufu Normal University | China

Assoc. Prof. Dr. Zhibin Liu is a highly regarded academic and researcher in the field of computer science, currently serving as an associate professor at the School of Computer Science, Qufu Normal University. His professional journey demonstrates a strong commitment to advancing innovation in computing technologies, particularly within the areas of Internet of Things (IoT), machine learning, and reinforcement learning. He has established himself as a recognized scholar with notable research outputs and impactful contributions to the development of intelligent systems. His academic career reflects a balance between teaching excellence, high-quality research, and meaningful international collaborations, making him a respected figure among peers and students alike.

Professional Profile 

Education

Assoc. Prof. Dr. Zhibin Liu completed his doctoral studies in computer application technology at Hohai University, where he developed expertise in advanced computing techniques and intelligent network optimization. Prior to this, he obtained his master’s degree in computer science from Xi’an University of Science and Technology. His educational background has laid the foundation for his strong analytical skills, deep technical knowledge, and a research-oriented mindset that supports the integration of theory with practical applications. These academic milestones highlight his determination to pursue excellence in the evolving field of computer science and to contribute to the broader scholarly community through innovation and thought leadership.

Experience

Assoc. Prof. Dr. Zhibin Liu has extensive teaching and research experience in the domains of IoT, wireless communication systems, and computational intelligence. At Qufu Normal University, he has played a crucial role in mentoring students, supervising research projects, and leading collaborative academic initiatives. His contributions extend beyond national boundaries, as he has engaged with international researchers to develop joint solutions for pressing technological challenges. He has been actively involved in projects that emphasize routing algorithms, optimization of resource allocation, and the integration of reinforcement learning into real-world applications. Through his sustained efforts, he has strengthened the research culture within his institution and contributed to the growth of knowledge in cutting-edge areas of computer science.

Research Interest

The research interests of Assoc. Prof. Dr. Zhibin Liu are diverse and aligned with the global challenges in modern computing systems. His primary focus lies in the research and application of IoT and machine learning, with specific emphasis on routing algorithms and efficient resource allocation strategies for wireless sensor networks. He also investigates the integration of deep reinforcement learning to address optimization problems within communication systems. His work reflects a clear vision of enhancing scalability, energy efficiency, and computational performance in intelligent systems. This forward-looking research agenda demonstrates his commitment to bridging the gap between theoretical advancements and practical applications, ensuring his contributions remain relevant in addressing real-world challenges.

Award

Assoc. Prof. Dr. Zhibin Liu has received recognition for his impactful contributions to research and academia. His awards and honors highlight his role as a leading researcher in IoT and machine learning, particularly for his pioneering work in reinforcement learning and network optimization. These accolades reflect both institutional and scholarly recognition, positioning him as an influential figure in his domain. His dedication to academic excellence, research innovation, and community engagement has earned him respect and acknowledgment at both national and international levels. Such achievements signify his outstanding professional standing and underscore why he is a strong candidate for this award.

Selected Publication

  • Reinforcement learning based on multi agent value distribution for beamforming optimization in cellular networks (Published: 2021, Citations: 45).

  • Optimization of computational efficiency in IoT based on joint assistance of ARIS and UAV in MEC systems (Published: 2022, Citations: 32).

  • Energy efficient resource allocation strategy for wireless sensor networks using reinforcement learning (Published: 2020, Citations: 56).

  • Dynamic routing algorithm for IoT enabled smart environments through machine learning optimization (Published: 2019, Citations: 61).

Conclusion

Assoc. Prof. Dr. Zhibin Liu exemplifies academic excellence, research innovation, and leadership in the field of computer science. His contributions to IoT systems, reinforcement learning, and wireless network optimization have had significant influence, both in advancing knowledge and in enabling applications that address complex challenges in communication and computing. His achievements in research, combined with his dedication to mentoring students and leading collaborations, reflect his strong leadership qualities. With his consistent record of high-quality publications, international collaborations, and commitment to innovation, Assoc. Prof. Dr. Zhibin Liu is an outstanding candidate for this award. His future endeavors hold immense potential to shape the evolution of intelligent systems and contribute meaningfully to the global academic and scientific community.