Ambreen Basheer | Autonomous Control Systems | Best Researcher Award

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Ms. Ambreen Basheer | Autonomous Control Systems | Best Researcher Award

University of Science and Technology of China | Pakistan

Author Profile

Scopus

Academic and Research Profile of Ambreen Basheer

Early Academic Pursuits

Ambreen Basheer demonstrated academic excellence from an early stage, excelling in both science and engineering disciplines. She did undergraduate in Electrical Engineering at the University of Punjab reflects her commitment to technical rigor. She pursued her Master's studies in system engineering with a specialization in the control system domain at the Pakistan Institute of Engineering and Applied Sciences (PIEAS), Pakistan. Building on this achievement and her solid understanding of the control system design, she has been awarded the ANSO fellowship for her PhD studies at the Department of Automation, University of Science and Technology of China.

Professional Endeavors

Ambreen's research and professional development are characterized by a focused integration of theoretical rigor, which is suitable for practical application. Her work is
primarily situated in the domain of advanced control systems, with a specific emphasis on developing online learning-based methodologies for complex dynamical systems. She possesses deep expertise in the design and stability analysis of adaptive, robust, and nonlinear controllers, often employing Lyapunov-based techniques. A central thrust of her research involves the synthesis of safe online reinforcement learning optimal control. Her research program is centered on the design and analysis of advanced control systems.

Contributions and Research Focus

Her research trajectory began with her Bachelor’s project on Wireless SCADA for Industrial Automation, exploring innovative applications of sensors, microcontrollers, and wireless communication. This technical curiosity deepened during her MS in Systems Engineering (PIEAS), where she published on multi-agent consensus and adaptive control. Currently, as a PhD scholar at the University of Science and Technology of China, her research centers on Control Theory and Control Engineering, with a strong emphasis on:

  • Online learning-based control systems
  • Safe trajectory tracking
  • Dynamic obstacle avoidance
  • Kernel-based modeling and barrier functions

Her multiple publications in high-impact journals and IEEE conferences underscore her contributions to autonomous systems and resilient control architectures.

Impact and Influence

Ambreen’s work bridges theory with real-world applications, particularly in safe robotics, vehicle automation, and industrial process optimization. Her research has been published in globally recognized journals such as the Journal of the Franklin Institute, IEEE Transaction, and Applied Mathematics and Computation. By integrating machine learning techniques with nonlinear control systems, she has advanced solutions that improve safety, adaptability, and efficiency in dynamic environments

Academic Citations

With multiple journal publications and international conference proceedings, Ambreen’s scholarly contributions are beginning to gain traction in academic circles. Her citations
are steadily growing as her work addresses cutting-edge challenges in control engineering and autonomous systems, marking her as a rising researcher in engineering sciences.

Legacy and Future Contributions

Ambreen’s journey reflects a blend of academic brilliance, professional adaptability, and innovative research. With expertise spanning engineering systems, intelligent control
systems , and control theory, she stands poised to make cross-disciplinary contributions. Her future research is likely to focus on intelligent automation, resilient networked
systems, and AI-driven control applications, contributing to both industrial innovation and academic knowledge.

Conclusion

Ambreen Basheer represents a new generation of scholars who combine technical mastery with applied problem-solving. Her progression from strong academic
foundations to impactful research demonstrates her dedication to advancing knowledge in control systems, automation, and intelligent engineering applications. With her
international academic exposure and growing publication record, she is well-positioned to leave a lasting legacy in research and higher education.

Notable Publications

“Approximate Optimal Trajectory Tracking and Dynamic Obstacle Avoidance for Affine System via Online Learning" 

  • Author: Ambreen Basheer , Man Li , Jiahu Qin
  • Journal: Journal of the Franklin Institute
  • Year: 2025

“Online Learning Based Control for Mobile Vehicle to Avoid Static Obstacles via Kernel Based Safe Dynamic Model" 

  • Author: Somia Kanwal; Ambreen Basheer
  • Journal: Advanced Algorithms and Control Engineering
  • Year: 2024

“A novel approach for adaptive H-infinite leader-following consensus of higher-order locally Lipschitz multi-agent systems" 

  • Author: Ambreen Basheer; Muhammad Rehan; Muhammad Tufail,;Muhammad Ahsan Razaq
  • Journal: Advanced Mathematics and computation
  • Year: 2024

 

 

Mingyue Zhang | Technological Networks | Best Researcher Award

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Mingyue Zhang | Technological Networks | Best Researcher Award

School of Mechanical Engineering of Dalian University of Technology | China

Author Profile

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BIOGRAPHY OF MINGYUE ZHANG: A VISIONARY IN RECONFIGURABLE ANTENNA TECHNOLOGIES

EARLY ACADEMIC PURSUITS

Mingyue Zhang was born in Henan province, China, and has demonstrated an unwavering passion for engineering and technology from a young age. His academic journey began at Henan Polytechnic University, where he earned both his Bachelor’s (2014–2018) and Master’s (2018–2021) degrees from the School of Mechanical and Power Engineering. Fueled by curiosity and a drive for innovation, he progressed to pursue his Ph.D. in Mechanical Engineering at the prestigious Dalian University of Technology starting in September 2021, where he continues to immerse himself in cutting-edge research.

PROFESSIONAL ENDEAVORS

Although currently a doctoral candidate, Mingyue Zhang has already made significant strides in academia and engineering. His research output—comprising ten peer-reviewed journal articles—demonstrates his evolving leadership in antenna design and battery management systems. Through collaboration with academic peers and specialists across China, he has contributed to both theoretical frameworks and practical applications, showing promise not only as a researcher but as an innovator.

CONTRIBUTIONS AND RESEARCH FOCUS ON TECHNOLOGICAL NETWORKS

Mingyue Zhang's primary research interests center around topology optimization in electromagnetics, reconfigurable antennas, and phased arrays, firmly placing him in the subdomain of Technological Networks, particularly reconfigurable antennas. His work explores intelligent antenna structures capable of adjusting their parameters dynamically—critical for advanced wireless communication and next-generation radar systems.

His notable contributions include:

  • Development of band-notched UWB antennas using novel C-shaped slot designs.

  • Innovations in pattern reconfigurable antennas with controllable main lobe deflection.

  • Comprehensive reviews and future-oriented studies on the state of reconfigurable antenna technology.

  • Breakthroughs in battery management systems (BMS) using advanced state of charge (SOC) estimation techniques.

IMPACT AND INFLUENCE

Mingyue Zhang’s work is increasingly gaining attention in the international academic community. His articles have been published in high-impact journals such as:

  • International Journal of Antennas and Propagation

  • Smart Materials and Structures

  • Nano Letters

  • International Journal of Electric and Hybrid Vehicles

His interdisciplinary research has bridged gaps between electromagnetics, signal processing, and sustainable energy technologies—establishing a solid foundation for future collaborative and applied research across domains such as IoT, 5G, electric mobility, and smart systems.

ACADEMIC CITES AND SCHOLARLY CONTRIBUTIONS

Mingyue’s journal articles are increasingly cited by fellow researchers, particularly those in the fields of antenna design, wireless sensor networks, and electrical vehicles. His reviews and design methodologies have been pivotal in advancing the academic conversation around reconfigurable antenna performance and energy management systems. With an impressive citation trajectory, his work supports not only academic understanding but also industrial implementation.

LEGACY AND FUTURE CONTRIBUTIONS

As a budding expert in the field of reconfigurable antenna technologies, Mingyue Zhang is poised to become a leading voice in shaping the next generation of wireless communication infrastructure. His future research will likely focus on:

  • Smart reconfigurable arrays for adaptive communication environments.

  • Topology optimization for performance-driven, energy-efficient antenna systems.

  • Hybrid integration of antenna design with AI and machine learning for real-time adaptive systems.

His early success, combined with a rigorous academic background and a visionary approach to applied electromagnetics, cements his reputation as a rising star in technological networks. Mingyue Zhang is not only contributing to today's innovations but also laying the groundwork for tomorrow's intelligent communication systems.

OTHER NOTABLE HIGHLIGHTS

  • Educational Milestones:

    • Ph.D. Scholar, Dalian University of Technology (2021–present)

    • Master’s Degree, Henan Polytechnic University (2018–2021)

    • Bachelor’s Degree, Henan Polytechnic University (2014–2018)

  • Published Works:

    • Authored 10 scholarly articles, with leading contributions in antenna design and electric vehicle energy management systems.

  • Collaborative Excellence:

    • Worked alongside respected researchers such as Renjing Gao, Guangyu Xu, and Xiaobin Fan.

CONCLUSION

Mingyue Zhang exemplifies the future of smart wireless and electronic system innovation. His journey—from a student in Henan to a research leader in Dalian—stands as a testament to dedication, intellectual curiosity, and scientific impact. His work continues to inspire peers and promises to shape modern communication and power systems on a global scale.

NOTABLE PUBLICATIONS

"A Novel Design Method of C‐Shaped Slots for Reconfigurable Band‐Notched UWB Antenna" 

  • Author: Mingyue Zhang; Renjing Gao
  • Journal: International Journal of Communication Systems
  • Year: 2025

"Pattern reconfigurable antenna with specified main lobe deflection and stable bandwidth by using bistable composite laminates" 

  • Author: Mingyue Zhang; Wei Tong; Guangyu Xu; Qi Wang; Renjing Gao
  • Journal: Smart Materials and Structures
  • Year: 2024

"Reconfigurable Antennas for Wireless Communication: Design Mechanism, State of the Art, Challenges, and Future Perspectives" 

  • Author: Mingyue Zhang; Guangyu Xu; Renjing Gao; Rakesh Chowdhury
  • Journal: International Journal of Antennas and Propagation
  • Year: 2024

"Design and implementation of software and hardware of battery management system based on a novel state of charge estimation method" 

  • Author: Mingyue Zhang; Xiaobin Fan
  • Journal: International Journal of Electric and Hybrid Vehicles
  • Year: 2022

"Design of battery management system based on improved ampere-hour integration method" 

  • Author: Mingyue Zhang; Xiaobin Fan
  • Journal: International Journal of Electric and Hybrid Vehicles
  • Year: 2022

Qiujie Yuan | Reservoir Computing | Best Researcher Award

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Mr. Qiujie Yuan | Reservoir Computing | Best Researcher Award

Qiujie Yuan at Nanjing University of Posts and Telecommunications, China

Qiujie Yuan is a graduate researcher in Integrated Circuit Science and Engineering at Nanjing University of Posts and Telecommunications, with a strong foundation in applied physics. With hands-on experience in phase transition engineering and flexible 2D semiconductor device research, he demonstrates a rare blend of interdisciplinary R&D, system-level thinking, and international collaboration. His work focuses on electrochemically modulated MoS₂ transistors and bio-inspired temporal processing, contributing toward advancements in low-power, intelligent sensing systems.

🔹Professional Profile:

Scopus Profile

Orcid Profile 

🎓Education Background

Nanjing University of Posts and Telecommunications

  • M.S. in Integrated Circuit Science and Engineering
    Sept 2023 – June 2026 (Expected)

  • B.S. in Applied Physics
    June 2019 – June 2023

  • Core Courses: Matrix Theory, CMOS Analog IC Design, Digital IC Analysis & Design, Power Devices & IC Design, Intelligent Sensors & Integrated Applications, Semiconductor Optoelectronics

💼 Professional Development

Graduate Researcher – National Key R&D Program
Focus: Flexible 2D Semiconductor Devices

  • Designed MoS₂-based electrochemical transistor processes, achieving 7.8 cm²·V⁻¹·s⁻¹ mobility (23% improvement)

  • Built a reservoir computing prototype with 92.4% classification accuracy using STDP optimization

  • Established in situ electrochemical characterization protocols and multiphysics testbeds for over 160 parametric analyses

  • Spearheaded interdisciplinary development from polymer electrolyte material synthesis (PVA/MXene) to system-level algorithm integration

Notable Project: “Reservoir Computing Enabled by Polymer Electrolyte-Gated MoS2 Transistors for Time-Series Processing”

  • Introduced Li⁺-modulated phase transition for dynamic temporal processing

  • Reduced system hardware complexity by 60% with scalable virtual node design

  • Demonstrated successful material-to-system pipeline integration

🔬Research Focus

  • Phase transition engineering and ionic modulation

  • 2D semiconductors and electrochemical transistor design

  • Reservoir computing and bio-inspired neuromorphic systems

  • Integration of materials, device physics, and intelligent sensing algorithms

📈Author Metrics:

Qiujie Yuan is an emerging researcher with growing contributions in the fields of 2D semiconductors and neuromorphic computing. His recent work, “Reservoir Computing Enabled by Polymer Electrolyte-Gated MoS₂ Transistors for Time-Series Processing,” has been recognized for its innovation in integrating material synthesis with algorithmic intelligence. Although early in his publication career, his research demonstrates strong potential for high-impact citation, particularly in interdisciplinary domains such as flexible electronics, intelligent sensing systems, and electrochemical device engineering. His work has attracted attention in both academic and industrial circles for its engineering applicability and novel use of ionic modulation in dynamic systems. As he continues publishing, his author metrics are expected to grow rapidly, especially given his involvement in national key R&D programs and international collaborations.

🏆Awards and Honors:

  • Second-Class Scholarship (Top 15%)

  • Third-Class Scholarship

  • Outstanding Graduate Cadre

  • CET-6 Score: 586 | National Graduate Entrance English Score: 84

  • Recognized for international technical collaboration across multilingual teams (Korea, Malaysia, Tunisia)

📝Publication Top Notes

1) Reservoir Computing Enabled by Polymer Electrolyte-Gated MoS₂ Transistors for Time-Series Processing

Journal: Polymers
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
Publication Date: April 2025
Type: Journal Article
Volume/Issue: Vol. 17, Issue 9
Article Number: 1178
DOI: 10.3390/polym17091178
Authors: Xiang Wan, Qiujie Yuan (邱杰 袁), Lianze Sun, Kunfang Chen, Dongyoon Khim, Zhongzhong Luo
Citations: 1 (as of current data)
Highlights:

  • Developed MoS₂-based electrochemical transistors with 23% improved field-effect mobility
  • Demonstrated a reservoir computing system with 92.4% classification accuracy
  • Reduced hardware complexity by 60% via scalable virtual node architecture

2) Performance Analysis of an Underwater Wireless Optical Communication Link with Lommel Beam

Journal: Physica Scripta
Publisher: IOP Publishing
Publication Date: 2024
Type: Journal ArticleAuthors: Yangbin Ma (Y. Ma), Xinguang Wang (X. Wang), Changjian Qin (C. Qin), Le Wang (L. Wang), Shengmei Zhao (S. Zhao)
Citations: 1 (as of current data)
Highlights:

  • Investigated the performance characteristics of Lommel beams in underwater optical communication
  • Analyzed signal degradation and beam propagation dynamics
  • Offers insights for high-capacity underwater wireless systems

.Conclusion:

Mr. Qiujie Yuan exemplifies a rare, high-potential interdisciplinary researcher who effectively bridges materials engineering, semiconductor device design, and AI-inspired computing architectures. His ability to integrate fundamental research with system-level applications and international collaboration marks him as a deserving candidate for a Best Researcher Award, especially in fields related to neuromorphic computing, flexible electronics, and intelligent sensing systems.

With continued publishing, diversified application trials, and increased visibility, Mr. Yuan is poised to become a key innovator in next-generation low-power AI hardware. He is not only suitable but highly recommended for recognition through this award.