Ratan Kumar Das | Mechanical Engineering | Research Excellence Award

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Xueliang wang | Engineering | Best Researcher Award

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Dr. Xueliang wang | Engineering | Best Researcher Award

Dr. Xueliang wang | NingboTech University | China

Dr. Xueliang Wang is a promising early-career scholar serving as a Lecturer at NingboTech University, affiliated with Zhejiang University. With a solid academic foundation and focused expertise in mechanical engineering and energy systems, he has established himself as a rising leader in the study of dynamic sealing systems for hydrogen fuel cells. He brings a global perspective to his research, having participated in a Joint Ph.D. Training Program at Blekinge Institute of Technology in Sweden. Since joining NingboTech University, Dr. Wang has excelled in both teaching and research, delivering impactful contributions in foil seal dynamics, gas lubrication mechanisms, and mechanical system reliability. His work addresses critical engineering challenges in advancing hydrogen energy technologies. An active member of the Communist Party, Dr. Wang embodies a commitment to public service, academic leadership, and the pursuit of innovative solutions that bridge theoretical research and industrial application.

Profile

Scopus

Education & Professional Experience

Dr. Xueliang Wang earned his Ph.D. in Engineering through a joint program between Blekinge Institute of Technology (BTH), Sweden, and a Chinese institution, gaining valuable international exposure that shaped his research trajectory in high-performance fuel cell sealing systems. He serves as a Lecturer at NingboTech University, affiliated with Zhejiang University, where he teaches core engineering subjects including Engineering Graphics (B), Numerical Computation Methods, and Elastic Mechanics. His responsibilities extend to mentoring student research projects and contributing to institutional development. Dr. Wang has established strong collaborations with industry partners, leading multiple enterprise-funded and government-supported research projects. His work focuses on innovative sealing technologies, dynamic gas lubrication mechanisms, and leakage reduction strategies for advanced hydrogen fuel cell systems. Combining excellence in teaching with impactful applied research, he is recognized as a well-rounded academic who bridges theoretical engineering knowledge with practical, industry-driven innovation.

Research Interests

Dr. Wang’s primary research interest lies in dynamic foil sealing technologies for fuel cell systems, with broader applications in hydrogen-air compressors, marine sealed pumps, and gas film lubrication mechanisms. His work explores interfacial gas lubrication, surface roughness effects, and heterogeneous material compatibility to improve sealing performance under extreme conditions. These studies are critical for advancing the safety, reliability, and efficiency of clean energy technologies, particularly in hydrogen fuel cell systems. He is especially focused on the flow evolution mechanisms and leakage control under dynamic excitation, which are vital for optimizing fuel cell longevity and environmental compliance. His current portfolio includes five funded research projects from provincial and municipal bodies, addressing issues from nonlinear seal dynamics to PTV diaphragm box seals. Through both theoretical modeling and experimental validation, Dr. Wang’s research delivers actionable insights to industry partners and contributes to the advancement of sustainable engineering technologies.

Awards

Dr. Wang has received multiple prestigious awards. Most notably, he earned the First Prize in University Teaching Achievement Awards, showcasing his dual excellence in pedagogy and content delivery. His paper was honored with the Excellent Paper Award at the 14th National Conference on Dry Gas Seals, a notable accolade in the mechanical engineering community that affirms the originality and applicability of his work in foil gas film seals. His selection for multiple provincial-level projects also reflects peer and institutional recognition of his research capability and leadership. Furthermore, his rapid ascent in academia, marked by six published research papers, two patent applications, and several research grants, underscores his status as a rising star in the fields of hydrogen energy and precision mechanical design. These honors highlight both his technical expertise and his contribution to national research priorities.

Publications Top Notes

Title: A Photothermal-Responsive and Glucose-Responsive Antibacterial Hydrogel Featuring Tunable Mechanical Properties
Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Authors: Wang Xueliang,

Title: Acoustic Emission Signal Characteristics of Flexible Foil Gas Film Seal Under Actual Surface Conditions
Journal: Tribology Transactions  – EI Indexed
Authors: Wang Xueliang,

Title: Turbulent Characteristics Analysis of Flexible Foil Cylindrical Gas Film Seal Considering Surface Roughness
Journal: CIESC Journal  – EI Indexed
Authors: Wang Xueliang,

Conclusion

Dr. Xueliang Wang’s professional trajectory, marked by a combination of international research exposure, pedagogical excellence, and innovative project execution, makes him a strong candidate for the Best Researcher Award. His contributions to the development of high-efficiency fuel cell seal systems directly support the advancement of sustainable hydrogen energy technologies—an area of global strategic importance. With multiple active research grants, high-quality publications, and recognized teaching success, Dr. Wang exemplifies the qualities of a forward-thinking and impactful researcher. His ability to integrate theory with real-world application, especially through collaborations with industry and government projects, showcases leadership, relevance, and innovation. Recognizing his work with this award will not only honor his achievements but also spotlight an emerging leader dedicated to engineering a cleaner, more efficient energy future.

Amjaad Altakhaineh | Electrical Engineering | Excellence in Innovation

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Ms. Amjaad Altakhaineh | Electrical Engineering | Excellence in Innovation

AI and Electrical Engineering Researcher, Mutah university, Jordan.

Amjaad Tayel Altakhaineh is a skilled Telecommunications and Machine Learning Engineer based in Amman, Jordan. With over 3 years of experience, she excels in designing 5G/6G antennas, machine learning models, and data analysis. Her expertise spans from RF and antenna systems to AI-driven solutions for wireless communication. Amjaad is proficient in programming with Python and has contributed to numerous technical projects in both telecommunications and AI. She is an adept researcher, having worked on various projects in machine learning and antenna design for healthcare and smart city applications.

Profile

Scopus

Orcid

Education 🎓

Amjaad Tayel Altakhaineh is a dedicated engineer with a strong academic background in artificial intelligence and telecommunications. She completed her Diploma in AI and Machine Learning at Al Hussein Technical University, Jordan, in January 2023. Her capstone projects focused on cutting-edge solutions, including a deep learning approach to track breast cancer tumor evolution using antennas and a project aimed at reducing wireless communication traffic in smart city systems through artificial neural networks.

Prior to that, Amjaad earned her Master’s degree in Telecommunications Engineering from The University of Mutah, Jordan, in January 2022, where she graduated as the top student with a thesis titled “A New 5G Antenna with Large Frequency Ratio based on Dual-mode Composite,” achieving an impressive GPA of 92.29%. Her work demonstrated innovative designs for future telecommunication systems.

Her academic journey began with a B.Sc. in Electrical Engineering with a specialization in Telecommunications, also from The University of Mutah, which she completed in September 2016. Her undergraduate capstone project, “Smart Hat for Blind and Poor Vision People,” which garnered an excellent score of 85.36%, reflected her commitment to applying engineering principles to address real-world problems.

Experience 💼

Amjaad Tayel Altakhaineh has been serving as a Research Assistant at NATO since April 2022, where she focuses on antenna design for disaster applications and AI models. Her role includes contributing to research paper publications and participating in antenna measurement processes, showcasing her expertise in advanced technologies.

Previously, she worked as a Telecom Engineer Trainee at the Ministry of Communication from August 2017 to August 2018. There, she was responsible for supervising and maintaining network systems and testing communication technologies, gaining hands-on experience in the telecommunications field.

In her current role as a Python Programming Instructor at Pioneers-Jordan and the American University of Madaba (since August 2023), Amjaad teaches Python programming, data science, and machine learning, imparting her knowledge to students and professionals eager to advance their skills in these domains

Research Interests 🔍

Artificial Intelligence and Machine Learning: Proficient in applying AI techniques for various applications, including predictive modeling and data analysis.

Antenna Engineering for 5G/6G and RF Applications: Focused on designing antennas optimized for advanced telecommunications standards, contributing to her research at NATO.

Predictive Modeling and Data Analysis: Skilled in using data-driven methods to forecast trends and inform decision-making processes in various fields.

AI in Smart City and Healthcare Systems: Engaged in projects that leverage AI to improve infrastructure and health services, enhancing quality of life in urban environments.

Electromagnetic Simulation for Telecommunications: Experienced in using simulation tools to analyze and optimize the performance of communication systems, ensuring efficient and reliable network operations.

Awards 🏆

First Rank in the B.Sc. Program (2014-2016)

First Rank in the M.Sc. Program (2019-2022)

Al Hussein Technical University Diploma Scholarship (2022-2023)

Publications Top Notes 📚

Machine Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wildfire Detection Applications Energies Published: October 19, 2024 Contributors: Amjaad T. Altakhaineh, Rula Alrawashdeh, Jiafeng Zhou. Link

A Deca-Band, Shared-Aperture, Dual-Mode Composite Antenna for Microwave and Millimeter-Wave 5G Applications
International Review of Electrical Engineering Published: 2023  Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

A Quad-Band Shared-Aperture Antenna Based on Dual-Mode Composite Quarter-Mode SIW Cavity for 5G and 6G with MIMO Capability Electronics (Switzerland) Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh, A.M. Almatarneh, E. Almajali, L. Al-Tarawneh, J. Yousaf. Link

Machine Learning-Enhanced Microfluidic SIW Sensor for Water-in-Fuel Detection Applications 2023 14th International Conference on Information and Communication Systems, ICICS 2023 Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

A Dual-Frequency Single-Slot Substrate Integrated Waveguide Antenna for 5G Millimeter Applications 2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 – Proceedings Published: 2022 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link