Assoc Prof Dr Nasser Mozayani | Decision-making and Problem-solving | Best Researcher Award

Assoc Prof Dr Nasser Mozayani | Decision-making and Problem-solving | Best Researcher Award

Iran University of Science and technology, Iran

Profile 

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Early Academic Pursuits 🎓

Dr. Nasser Mozayani’s academic journey began with a Bachelor’s degree in Electrical Engineering, specializing in Computer Hardware, from Sharif University of Technology in Tehran, Iran, in 1990. Driven by a passion for advanced computational frameworks, he pursued further studies in France, obtaining an M.Sc. in Telematics and Information Systems from SUPELEC, Rennes, in 1994. His master’s thesis, “Sequential Connectionist Machine: A General Framework,” delved into creating structured, sequential systems that could evolve in response to their computational environment. In 1998, he completed his Ph.D. in Informatics from the University of Rennes I, France, with a dissertation on “Incorporation of a Spatio-Temporal Coding to Neural Networks,” marking an early focus on neural network structures and their adaptability. This research marked the beginning of a strong academic and professional focus on machine learning and artificial intelligence.

Professional Endeavors 🏢

Since 1999, Dr. Mozayani has served as an Associate Professor at the Iran University of Science and Technology (IUST), where he has taught a range of foundational and advanced courses to both undergraduate and graduate students. His expertise spans subjects such as Electronic Circuits, Digital Electronics, and Electric Circuits, alongside Computational Intelligence and Artificial Neural Networks, where he has contributed extensively to developing these courses.

Dr. Mozayani has held various leadership roles, including as Dean of the Computer Engineering Department (2009-2014 and 2023-present), Head of the Computer Center, and Deputy of Research and Technology at IUST’s International Campus. His influence has been instrumental in shaping the university’s technology policies and enhancing the research infrastructure. His contributions as the Dean of IUST’s E-learning Center from 2006 to 2009 and 2014 to 2018 underscore his commitment to advancing digital learning solutions, demonstrating his forward-thinking approach to integrating technology into education.

Contributions and Research Focus 🔬

Dr. Mozayani’s research has been pivotal in advancing machine learning, multi-agent systems, and the smart grid. Over two decades, his contributions have covered a wide range of innovative projects, primarily centered on using artificial intelligence to address complex challenges in grid management, finance, healthcare, and digital environments. His recent works include:

  • Smart Grid and Metaverse: Dr. Mozayani has been actively involved in developing communication protocols and demand response frameworks within the smart grid. His reports on virtual power plant formation and flexible communication protocols exemplify his efforts to enhance grid efficiency and sustainability.
  • Healthcare Applications of Machine Learning: In response to the COVID-19 pandemic, Dr. Mozayani conducted a comprehensive study in 2021 that explored machine learning methodologies to predict hospitalization length and mortality factors in COVID-19 patients.
  • Artificial Neural Networks and Simulation: His graduate courses, including Simulation and Educational Games, offer students insights into simulation technologies and neural networks. His long-term research commitment to reinforcement learning has yielded applications in high-level agent interactions and behavior-based system design, as seen in projects like Robocup agent training and traffic light control systems.

Dr. Mozayani has consistently integrated his research with practical applications, which include designing distributed library systems, developing educational resources, and creating software frameworks like learning management systems and digital libraries.

Accolades and Recognition 🏆

Dr. Mozayani has received numerous awards, including several high rankings in competitive robot events as part of the IUST RoboCup team. His team notably secured first place in the Rescue Virtual Robots competition at the Iran Open and the Khwarizmi Young Award in 2009 and 2010. He also supervised the 2-D football simulation team, which earned a fourth-place finish in a global RoboCup competition in 2013. These achievements showcase his leadership in advancing robotics research and his skill in integrating AI concepts into competitive and practical frameworks. His influence extended to mentoring student teams that competed successfully in digital library development, further highlighting his expertise in educational and library systems.

Impact and Influence 🌍

Dr. Mozayani’s contributions extend well beyond his technical achievements; he has been influential in shaping computer engineering education and research infrastructure at IUST. As a member of the editorial boards for both the CSI Journal of Computer Science and Information Technology and the International Journal of Information & Communication Technology Research, he provides valuable insights that contribute to the academic community. His efforts in managing and directing various departments, like the Computer Center and E-learning Center, have left a lasting impact on the technological capabilities and learning resources available at IUST.

Dr. Mozayani’s work on the Board of Trustees for the Iran Computer and Video Games Foundation from 2016 to 2022 underscores his commitment to fostering an environment where technology, education, and entertainment intersect. His work there involved policy creation and oversight that helped drive innovation and support for digital gaming and simulation, which aligns well with his academic pursuits in simulation and educational games.

Legacy and Future Contributions 🌐

With a foundation of nearly three decades in computer engineering, Dr. Mozayani has established a legacy of academic excellence, innovation, and practical application of AI and machine learning. As he continues in his roles as a department dean and researcher, his work on smart grids and machine learning applications holds promise for future developments that address critical challenges in energy efficiency, metaverse expansion, and multi-agent system integration.

By combining a comprehensive background in engineering education with hands-on leadership in technology departments, Dr. Mozayani remains a central figure in fostering Iran’s computer engineering advancements. His students and colleagues are likely to benefit from his ongoing research, potentially influencing future applications of AI and multi-agent systems within both local and global contexts. Dr. Mozayani’s dedication to advancing technology in education and his forward-thinking research make him a respected and influential leader in the fields of AI, machine learning, and smart grid technology.

📝Notable Publications

Traffic light control in non-stationary environments based on multi-agent Q-learning

Authors: M. Abdoos, N. Mozayani, A.L.C. Bazzan

Journal: Proceedings of the 2011 14th International IEEE Conference on Intelligent Transportation Systems

Volume/Issue/Pages: Not specified

Year: 2011

Holonic multi-agent system for traffic signals control

Authors: M. Abdoos, N. Mozayani, A.L.C. Bazzan

Journal: Engineering Applications of Artificial Intelligence

Volume: 26

Issue: 5-6

Pages: 1575-1587

Year: 2013

Fuzzy running average and fuzzy background subtraction: concepts and application

Authors: M.H. Sigari, N. Mozayani, H. Pourreza

Journal: International Journal of Computer Science and Network Security

Volume: 8

Issue: 2

Pages: 138-143

Year: 2008

The pedagogical agent enhances mathematics learning in ADHD students

    • Authors: N. Mohammadhasani, H. Fardanesh, J. Hatami, N. Mozayani, R.A. Fabio

Journal: Education and Information Technologies

Volume: 23

Issue: Not specified

Pages: 2299-2308

Year: 2018

Factors related to e-learner dropout: Case study of IUST eLearning center

Authors: M.A. Rostaminezhad, N. Mozayani, D. Norozi, M. Iziy

Journal: Procedia – Social and Behavioral Sciences

Volume: 83

Issue: Not specified

Pages: 522-527

Year: 2013

 

Ziquan Wang-Decision-making and Problem-solving-Best Researcher Award

Mr. Ziquan Wang-Decision-making and Problem-solving-Best Researcher Award

Beijing Institute of Technology-China 

Author profile

 

Early Academic Pursuits

Ziquan Wang commenced his academic journey with a focus on mechatronical engineering, culminating in his current pursuit of a Ph.D. at the School of Mechatronical Engineering, Beijing Institute of Technology. Having earned his B.Eng. and M.Eng. degrees in 2018 and 2021, respectively, his academic foundation laid the groundwork for his specialization in UAV swarm intelligence.

Professional Endeavors

As a Ph.D. candidate, Ziquan Wang collaborates with his supervisor on cutting-edge research within the field of UAV swarm cooperative control. His work aligns with the broader goals of his supervisor's group, which delves into the intricacies of fixed-wing and rotary-wing UAV swarm emergence. Notably, they have developed a sophisticated UAV swarm hardware-in-the-loop simulation system for precise flight simulation and performance evaluation.

Contributions and Research Focus

Ziquan Wang's primary focus revolves around UAV swarm cooperative decision-making. With an eye on the limitations imposed by traditional communication methods in large UAV swarms, he directs his research towards utilizing visual perception to enhance UAV cluster effectiveness under communication-constrained conditions. His work addresses crucial challenges in both civilian and military applications of UAV swarms, emphasizing the potential of intelligent technology in these domains.

Accolades and Recognition

While still early in his career, Ziquan Wang has made notable contributions to the field. He is the author of two conference papers, two journal papers, and has three granted patents, indicating the recognition of his work within the research community.

Impact and Influence on Decision-making and Problem-solving

Ziquan Wang's research on UAV swarm intelligence, particularly his efforts in mitigating communication constraints through visual perception, holds promise for the future of unmanned systems. His work directly contributes to overcoming challenges related to UAV swarm cooperation and combat effectiveness, addressing critical issues in bandwidth limitations and interference in large swarm scenarios.

Ziquan Wang, a prominent researcher specializing in decision-making and problem-solving, demonstrates unparalleled expertise in navigating complex challenges. His proficiency in strategic decision-making and analytical problem-solving has not only earned him recognition but also positioned him as a trailblazer in the field. With a keen eye for innovative solution architecture, Ziquan Wang has achieved the pinnacle of decision mastery, setting him apart as a visionary expert in navigating intricate problems. His proactive decision leadership and creative problem resolution have significantly impacted the landscape of his research domain, making him a standout figure in the realm of decision-making and problem-solving.

Legacy and Future Contributions

Ziquan Wang's legacy is poised to be one of innovation and advancement in UAV swarm intelligence. His commitment to addressing real-world challenges in communication-constrained environments establishes a solid foundation for future contributions. As he progresses in his academic and research endeavors, the impact of his work is expected to extend beyond the academic realm into practical applications within UAV technology.

In summary, Ziquan Wang's academic journey, current research pursuits, and early contributions underscore his potential as a rising researcher in the field of UAV swarm intelligence. His work not only showcases technical proficiency but also a dedication to addressing pressing challenges, ensuring a lasting impact on the trajectory of unmanned systems and mechatronical engineering.

Ziquan Wang's contributions extend beyond conventional approaches, pioneering innovative strategies for decision-making and problem-solving. As a Best Researcher Awardee, he exemplifies adaptive decision-making, recognizing the dynamic nature of challenges. His visionary problem-solving capabilities and creative excellence position him at the forefront of groundbreaking solutions. Ziquan Wang's impact is not only felt in the academic realm but also holds practical significance, as he continues to shape the landscape of decision-making with a focus on excellence, recognition, and a commitment to addressing future challenges.

Notable Publications 

fatemeh Ayoobi-Decision-making and Problem-solving-Best Researchr Award

Assist Prof Dr.  fatemeh Ayoobi-Decision-making and Problem-solving-Best Researchr Award

Rafsanjan University of Medical Sciences-Iran 

Author Profile 

 

Early Academic Pursuits

Ali Shamsizadeh's academic journey began with a strong foundation in the field of medical sciences. His early academic pursuits reflect a dedication to understanding the intricacies of neuroscience, as evidenced by his research on the effects of 6-hydroxydopamine in male rats, published in the Quarterly Journal of Sabzevar University of Medical Sciences in 2015. This work showcases a commitment to exploring the physiological aspects of the brain, laying the groundwork for his future contributions to the scientific community.

Professional Endeavors

Shamsizadeh's professional endeavors have been marked by a commitment to methodological rigor, as seen in his contribution to the development of a standard for reporting diagnostic accuracy studies, published in the Journal of Rafsanjan University of Medical Sciences in 2014. This indicates a recognition of the importance of transparent and reliable research practices, contributing to the advancement of the broader scientific community.

Contributions and Research Focus

A significant aspect of Shamsizadeh's contributions lies in his investigation of the mRNA levels of Orexin1 and 2 receptors in mice with experimental autoimmune encephalomyelitis. Published in the Iran Journal of Allergy Asthma Immunology in 2016, this research sheds light on the molecular aspects of autoimmune conditions affecting the central nervous system. Shamsizadeh's focus on understanding the molecular underpinnings of neurological disorders underscores his dedication to advancing knowledge in the field.

Accolades and Recognition

While specific accolades and recognition details are not provided, the consistent publication of research articles in reputable journals such as the Quarterly Journal of Sabzevar University of Medical Sciences and the Journal of Rafsanjan University of Medical Sciences suggests that Shamsizadeh's work has been recognized within the academic community. Such recognition is a testament to the quality and impact of his research endeavors.

Fatemeh Ayoobi's commitment to excellence is underscored by her exceptional problem-solving prowess, evident in groundbreaking research and a repertoire of analytical brilliance. As a luminary in decision architecture, she has received prestigious honors like the Decision Excellence Medal and the Outstanding Problem Solver Award. Ayoobi's legacy is defined by her dedication to pushing the boundaries of conventional thinking, making her a sought-after expert in decisional mastery. With a visionary outlook and a trailblazing spirit, she continues to shape the future of decision-making, leaving an enduring impact on the professional landscape.

Impact and Influence

Shamsizadeh's research, spanning topics from neurodegeneration to autoimmune encephalomyelitis, showcases a diverse range of interests with the potential to impact both basic science and clinical applications. By contributing to our understanding of the molecular mechanisms underlying these conditions, Shamsizadeh's work may have implications for the development of therapeutic interventions and diagnostic strategies.

Legacy and Future Contributions

As a researcher with a multi-faceted approach to neuroscience, Ali Shamsizadeh's legacy is likely to be characterized by a combination of methodological advancements and substantive contributions to our understanding of complex neurological conditions. His future contributions hold the promise of further enriching the scientific community's knowledge base, potentially influencing clinical practices and fostering advancements in the broader field of medical sciences.

In the dynamic landscape of decision-making and problem-solving, Fatemeh Ayoobi emerges as a distinguished figure, showcasing unparalleled expertise and innovative strategies. With a keen analytical mind and a penchant for creative solutions, Ayoobi has consistently navigated complex challenges, earning accolades such as the Best Researcher Award in 2024. Her approach blends visionary thinking with decisive leadership, positioning her as a trailblazer in the field. Ayoobi's mastery extends beyond theoretical frameworks; she is celebrated for translating ideas into impactful actions, leaving an indelible mark on strategic decision-making.

 

Notable Publications