Jesus Gamez | Artificial Intelligence | Best Academic Researcher Award

Mr. Jesus Gamez | Artificial Intelligence | Best Academic Researcher Award

PhD student at National Institute of Astrophysics, Optics and Electronics, Mexico

Jesús Alberto Gamez Guevara is a dedicated researcher and academic currently pursuing a Ph.D. in Science with a Specialization in Electronics at the Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE) in Mexico. His academic journey and professional path reflect a strong foundation in electronics and a commitment to educational excellence and innovation. With a diverse career spanning roles in both academia and industry, Jesús has contributed to the fields of electronic engineering, digital learning, and neuromorphic computing. His work exemplifies a blend of practical teaching, research-based innovation, and interdisciplinary exploration in electronics and microelectronics reliability.

Profile

Scopus

Education

Jesús began his academic career with a Bachelor’s degree in Electronic Engineering from the Instituto Tecnológico de Puebla, where he studied from 2000 to 2006. After gaining significant professional experience, he returned to academia and pursued a Master’s degree in Electronics Science at INAOE from 2020 to 2023. His decision to further his academic credentials with a Ph.D. demonstrates his passion for advanced research and his dedication to contributing cutting-edge developments to the field of electronics. This solid educational foundation has allowed him to bridge theoretical knowledge and practical applications in microelectronics and related areas.

Experience

Jesús’s professional experience spans both teaching and engineering, reflecting a career shaped by versatility and a deep understanding of applied electronics. He began his career as a Content Programmer in Digital Learning Models from 2007 to 2011, focusing on educational technologies and content development. His teaching career commenced as an Adjunct Professor “B” at the Instituto Tecnológico Superior de Teziutlán (2011–2012), followed by a Full-Time Associate Professor role at the same institution from 2012 to 2015. Simultaneously, he served as a Full-Time Professor at CBTIS No. 153, a high school institution, during the same period. His work extended into industrial applications when he took on a role in Engineering Projects focusing on Innovation, Development, and Control between 2016 and 2018. Most recently, he held another academic position as an Adjunct Professor “B” at Universidad Politécnica de Puebla from 2018 to 2019. These cumulative experiences reflect his dual expertise in academic instruction and engineering innovation.

Research Interest

Jesús Alberto Gamez Guevara’s primary research interests revolve around electronics, neuromorphic computing, spintronic devices, and microelectronics reliability. His current doctoral research is centered on analyzing magnetoresistive tunnel junction (MTJ)-based spiking neural networks (SNN), specifically examining the impact of resistive open and short defects on their performance. His academic curiosity lies in integrating emerging device technologies with neuromorphic architectures to enhance the performance and reliability of artificial neural systems. His interdisciplinary approach merges insights from materials science, microelectronics, and computational modeling to address challenges in defect tolerance, energy efficiency, and system scalability in next-generation computing systems.

Award

Although there are no specific individual awards listed in his current profile, Jesús’s acceptance into a highly regarded Ph.D. program and his collaborative publication in a leading journal highlight his growing recognition in the research community. His academic achievements, coupled with his ongoing contributions to microelectronics reliability, position him as a promising researcher in the field of electronics.

Publication

Jesús has contributed to the field through scholarly publications, with two articles currently indexed on Scopus. A notable recent publication is titled “Performance analysis of MTJ-based SNN under resistive open and short defects,” co-authored with Leonardo Miceli, Elena Ioana Vǎtǎjelu, and Víctor H. Champac. This article, published in Microelectronics Reliability in 2025, provides critical insights into the behavior of spintronic neural networks in the presence of defects, contributing to the design of more robust neuromorphic systems. Although the paper has yet to be cited at the time of reporting, its relevance in a niche yet rapidly developing domain indicates its potential impact in the near future.

Conclusion

Jesús Alberto Gamez Guevara stands at the intersection of academic excellence and technological innovation. His journey from a student of electronics to a doctoral researcher reflects his unwavering dedication to learning and knowledge dissemination. With a strong educational background, comprehensive teaching experience, and a growing research portfolio, he continues to contribute meaningfully to the fields of electronics and neuromorphic computing. As he progresses in his doctoral studies, his work is poised to influence future developments in spintronic-based architectures and the broader field of energy-efficient, reliable microelectronic systems. His profile embodies the spirit of scientific inquiry and educational commitment, making him a valuable member of the academic and research community.

Yunxiang Lu | Neural Networks | Best Researcher Award

Dr. Yunxiang Lu | Neural Networks | Best Researcher Award

Ph.D | College of Automation & College of Artificial Intelligence | China

Dr. Yunxiang Lu is a dedicated researcher and academic currently affiliated with the College of Automation and the College of Artificial Intelligence at Nanjing University of Posts and Telecommunications, China. His work spans advanced topics in control science, neural networks, and ecological competition networks, underpinned by rigorous academic and practical experiences. Dr. Lu’s career is marked by his pursuit of ground breaking research, particularly in the realms of dynamic systems, network topology, and bifurcation analysis. Through a robust combination of theoretical exploration and simulation-based validation, he has significantly contributed to the field of artificial intelligence and control systems.

Profile

Scopus

Education

Dr. Lu embarked on a combined Master and Ph.D. program in Control Science and Engineering in 2019. As part of his academic journey, he is currently affiliated with the Polish Academy of Sciences – Institute of Systems Research for a year-long research collaboration. This academic foundation has provided him with a strong grasp of theoretical frameworks and hands-on application in control engineering, establishing him as a skilled scholar and innovator in his domain.

Experience

Dr. Lu’s professional experience includes a stint as an IT Technical Engineer at China Telecom Corporation, where he contributed to the 5G+MEC smart factory project, enhancing his expertise in telecommunications and automation. His role involved exploring the integration of 5G technologies in industrial applications, further broadening his technical horizon. Additionally, his active participation in academia includes leading research projects funded by Jiangsu Province, with notable achievements in ecological competition networks and time-delay feedback control mechanisms.

Research Interests

Dr. Lu’s research interests focus on fractional-order systems, neural networks, ecological dynamics, and the control of anomalous diffusion processes. He aims to uncover the intricate behaviors of complex networks influenced by various dynamic parameters. His work explores how time delays, fractional orders, and network topologies impact system stability and evolution, with applications ranging from neural systems to cyber-physical and ecological networks.

Awards and Honors

Dr. Lu has received numerous accolades recognizing his academic excellence and contributions. Notably, he was honored as the Excellent Graduate of Nanjing University of Posts and Telecommunications in 2022 and received the prestigious Postgraduate Academic Scholarship awards multiple times during his tenure. These distinctions underscore his dedication and consistent performance in both research and academics.

Publications

Dr. Lu has co-authored several impactful publications in esteemed journals.

Tipping prediction of a class of large-scale radial-ring neural networks

    • Authors: Lu, Y., Xiao, M., Wu, X., Cao, J., Zheng, W.X.
    • Publication Year: 2025
    • Citations: 0

Complex pattern evolution of a two-dimensional space diffusion model of malware spread

    • Authors: Cheng, H., Xiao, M., Lu, Y., Rutkowski, L., Cao, J.
    • Publication Year: 2024
    • Citations: 0

Spatiotemporal Evolution of Large-Scale Bidirectional Associative Memory Neural Networks With Diffusion and Delays

    • Authors: Lu, Y., Xiao, M., Liang, J., Wang, Z., Cao, J.
    • Publication Year: 2024
    • Citations: 1

Stability and Bifurcation Exploration of Delayed Neural Networks with Radial-Ring Configuration and Bidirectional Coupling

    • Authors: Lu, Y., Xiao, M., He, J., Wang, Z.
    • Publication Year: 2024
    • Citations: 6

Stability and Dynamics Analysis of Time-Delay Fractional-Order Large-Scale Dual-Loop Neural Network Model With Cross-Coupling Structure

    • Authors: Du, X., Xiao, M., Qiu, J., Lu, Y., Cao, J.
    • Publication Year: 2024
    • Citations: 0

QUALITATIVE ANALYSIS OF HIGH-DIMENSIONAL NEURAL NETWORKS WITH THREE-LAYER STRUCTURE AND MULTIPLE DELAYS

    • Authors: He, J., Xiao, M., Lu, Y., Sun, Y., Cao, J.
    • Publication Year: 2024
    • Citations: 0

Early warning of tipping in a chemical model with cross-diffusion via spatiotemporal pattern formation and transition

    • Authors: Lu, Y., Xiao, M., Huang, C., Wang, Z., Cao, J.
    • Publication Year: 2023
    • Citations: 8

Tipping point prediction and mechanism analysis of malware spreading in cyber–physical systems

    • Authors: Xiao, M., Chen, S., Zheng, W.X., Wang, Z., Lu, Y.
    • Publication Year: 2023
    • Citations: 10

Control of tipping in a small-world network model via a novel dynamic delayed feedback scheme

    • Authors: He, H., Xiao, M., Lu, Y., Wang, Z., Tao, B.
    • Publication Year: 2023
    • Citations: 9

Bifurcation Dynamics Analysis of A Class of Fractional Neural Networks with Mixed Delays

    • Authors: Luan, Y., Lu, Y., Xiao, M., Zhang, J.
    • Publication Year: 2023
    • Citations: 0

Conclusion

Dr. Yunxiang Lu exemplifies the synthesis of academic brilliance, practical expertise, and research acumen. His dedication to advancing knowledge in control systems and artificial intelligence positions him as a visionary scholar in his field. Through his continued exploration of dynamic networks and innovative control strategies, he remains committed to addressing complex challenges in modern science and technology.

Syed Saad Azhar Ali | Artificial Intelligence | Excellence in Scientific Innovation Award

Assoc. Prof. Dr. Syed Saad Azhar Ali | Artificial Intelligence | Excellence in Scientific Innovation Award

Assoc. Prof. Dr. Syed Saad Azhar Ali, Associate Professor, Saudi Arabia.

Dr. Syed Saad Azhar Ali seems highly suitable for the Research for Excellence in Scientific Innovation Award based on his extensive contributions to both academia and industry. Here are several key reasons why he qualifies:

Profile

Orcid

🎓 Education

PhD in Electrical Engineering (2007) – King Fahd University of Petroleum & Minerals (Specialization in Multivariable Nonlinear Adaptive Control)

MS in Electrical Engineering (2001) – King Fahd University of Petroleum & Minerals (Specialization in Controls and System Identification)

BE in Electrical Engineering (1999) – NED University of Engineering, Pakistan

👨‍🏫 Academic and Research Leadership

Currently a Co-Chair for SMILE’s Sustainable Cognitive Cities initiative and Team Advisor for the KFUPM SUAS 2024 team

Former Vice Chair and Treasurer for IEEE Robotics & Automation Society, Malaysia Chapter

Coordinator for the MX Program in Unmanned Aircraft Systems at KFUPM

Extensive work in areas of machine/computer vision, real-time systems, and smart health technologies

🏆 Awards and Recognition

Team Advisor for the SUAS 2024 championship-winning team, KFUPM

Multiple medals from ITEX, MTE, and SEDEX

Recognized by IEEE RAS, Malaysia, with Service and Excellence Awards

💼 Professional Affiliations

Senior Member of IEEE

Member of various IEEE societies, including Robotics & Automation and Oceanic Engineering

Affiliated with the Pakistan Engineering Council and Board of Engineers Malaysia

🌍 International Collaborations

Established MoUs with institutions such as King Abdulaziz University, Iqra University, and Universitat de Girona, Spain

📚 Publications 

Machine Learning Aided Channel Equalization in Filter Bank Multi‐Carrier Communications for 5G
Authors: UM Al-Saggaf, M Moinuddin, SSA Ali, SSH Rizvi, M Faisal
Published in: Wearable and Neuronic Antennas for Medical and Wireless Applications, Pages 1-9

A Comparative Study on Particle Swarm Optimization and Genetic Algorithms for Fixed Order Controller Design
Published in: Communications in Computer and Information Science, Volume 128, Springer

Block-Oriented Identification of Nonlinear Systems: Neural Network Approach towards Identification of Hammerstein and Wiener Models
Author: Syed Saad Azhar Ali
Published by: LAP Lambert Academic Publishing, ISBN: 978-3838335575, February 2010

U-model Based Control: Adaptive Control Approach for Multivariable Nonlinear Systems
Author: Syed Saad Azhar Ali
Published by: LAP Lambert Academic Publishing, ISBN: 978-3838323299, November 2009

Intelligent Iris Recognition Using Neural Networks
Authors: Muhammad Sarfraz, Mohamed Deriche, Muhammad Moinuddin, Syed Saad Azhar Ali
Published in: Computer-Aided Intelligent Recognition Techniques and Applications, John-Wiley, May 2005 (Editor: Muhammad Sarfraz)