Vahid Hassani | Experimental Design | Best Researcher Award

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Dr. Vahid Hassani | Experimental Design | Best Researcher Award

Dr. Vahid Hassani | Experimental Design | Research Fellow | University of Southampton | United Kingdom

Dr. Vahid Hassani is a distinguished Mechanical Design Engineer and accomplished researcher, recognized for his expertise in the design and optimisation of electromechanical systems, robotics, and applied artificial intelligence in engineering design. With extensive experience in both academia and industry, he has successfully led multidisciplinary projects focused on advancing energy-efficient mechanical systems and automation solutions. His professional journey reflects a commitment to innovation, problem-solving, and the translation of complex theoretical concepts into practical, industry-ready applications. Through his work, Dr. Vahid Hassani continues to contribute to the development of next-generation engineering solutions that address critical challenges in manufacturing, transport, and sustainable energy systems.

Professional Profile 

Education

Dr. Vahid Hassani earned his Ph.D. in Mechanical Engineering with a specialization in the dynamic modelling of piezoelectric actuators and precision mechanisms. His doctoral research focused on developing mathematical models to improve hysteresis characterization and enhance control accuracy in structural dynamics applications. He holds a Master’s degree in Aerospace Engineering, where he worked on designing and modelling advanced control systems using internal moving masses and dynamic neural network algorithms. He also holds a Bachelor’s degree in Aircraft Mechanical Engineering, equipping him with a strong foundation in mechanical systems and aeronautical maintenance, which laid the groundwork for his future research in mechanical system design and robotics.

Experience

Dr. Vahid Hassani has held senior research and innovation positions at leading global institutions, where he has made significant contributions to projects in compressor technology, rail vehicle energy harvesting, and predictive maintenance systems. His work includes the development of FPGA-based monitoring systems, CFD-driven performance optimisation, and additive manufacturing solutions for complex mechanical assemblies. He has collaborated with industry partners to deliver practical solutions such as 3D-printed nodal joints, ultrasonic sensor mounts, and AI-enabled delay prediction models for freight systems. Beyond research, he has taught undergraduate and postgraduate courses in mathematics, mechatronics, additive manufacturing, and control theory, playing a pivotal role in mentoring the next generation of engineers.

Research Interest

Dr. Vahid Hassani’s research interests span mechanical system design, design optimisation, robotics, and the integration of artificial intelligence for engineering applications. He is particularly focused on developing computational models and simulation tools that improve system reliability, energy efficiency, and manufacturing performance. His work in additive manufacturing and computational mechanics addresses challenges in creating lightweight, high-strength structures, while his projects in robotics and automation explore intelligent solutions for precision manufacturing. His research approach is inherently interdisciplinary, combining elements of mechanical engineering, control systems, and data-driven AI methodologies to solve real-world engineering problems.

Award

Dr. Vahid Hassani has been recognized with several awards for his contributions to research and innovation. He was a recipient of a prestigious research scholarship that supported his doctoral studies, highlighting the originality and impact of his work. He has also been awarded for his contributions to composite product development in international competitions, showcasing his ability to combine creativity and technical expertise to deliver innovative solutions. These recognitions underscore his dedication to pushing the boundaries of mechanical engineering and fostering collaboration between academia and industry.

Selected Publications

“Some of his notable publications include: “Design Optimisation of Additive Manufactured Pressure Regulators” (Published 2020, 52 Citations)”.

“Computational Modelling of Piezoelectric Actuators for Precision Control Applications” (Published 2019, 61 Citations).

“AI-Driven Predictive Maintenance for Rail Vehicle Systems” (Published 2021, 38 Citations).

“Multi-Agent Robotic Systems for Manufacturing Automation” (Published 2018, 44 Citations).

Conclusion

Dr. Vahid Hassani stands out as a leading researcher and engineer whose work bridges the gap between theoretical modelling and practical implementation. His significant contributions to mechanical system design, robotics, and applied AI have resulted in solutions that improve performance, sustainability, and reliability in critical engineering systems. His dedication to mentorship, collaboration, and continuous innovation positions him as a valuable contributor to the global engineering community. Dr. Vahid Hassani future research potential, combined with his leadership in interdisciplinary projects, makes him a highly deserving nominee for recognition in the field of engineering research and innovation.

 

 

Luwen Yu | Experimental Design | Women Researcher Award

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Assist. Prof. Dr. Luwen Yu | Experimental Design | Women Researcher Award

Assist. Prof. Dr. Luwen Yu | Experimental Design | Assistant Professor | The Hong Kong University of Science and Technology | China 

Assist. Prof. Dr. Luwen Yu is an accomplished academic and researcher in the field of computational media, color science, and human–computer interaction. She serves as an Assistant Professor at the Computational Media and Arts (CMA) department of The Hong Kong University of Science and Technology (Guangzhou) and is also a cross-campus faculty affiliate at HKUST in Hong Kong. Dr. Yu is widely recognized for her pioneering work that integrates design, psychology, and technology, offering new insights into how color perception and visual communication influence user cognition, decision-making, and behavior. Her career reflects a balance between research excellence, teaching commitment, and international collaboration, making her a leading figure in advancing the interdisciplinary connection between design science and computational media.

Professional Profile 

Education

Assist. Prof. Dr. Luwen Yu holds a Ph.D. from the University of Leeds, School of Design, where her doctoral research explored the effect of color on consumer purchase behavior under the guidance of distinguished supervisors. Prior to her doctoral studies, she completed both her master’s and bachelor’s degrees at Huazhong University of Science and Technology in the Department of Industrial Design, focusing on the intersection of design principles, human factors, and user experience. Her education has provided her with a strong foundation in design research methodology, experimental analysis, and applied color science, equipping her to approach research questions with methodological rigor and creativity.

Experience

Assist. Prof. Dr. Luwen Yu’s professional journey includes significant academic and research positions that have strengthened her interdisciplinary expertise. Before joining HKUST, she worked as a Postdoctoral Researcher at the University of Leeds, where she collaborated with leading researchers in design cognition, visual perception, and human–computer interaction. Currently, as an Assistant Professor, she leads research projects that integrate eye-tracking, fNIRS data analysis, and computational approaches to study visual communication and decision-making processes. She has actively participated in organizing workshops, mentoring students, and supervising graduate research projects, thereby contributing to the growth of the next generation of scholars in the field.

Research Interest

Assist. Prof. Dr. Luwen Yu’s research interests focus on color science, cognitive psychology, and user interaction in digital environments. She explores how color and visual attributes affect human perception, attention, and decision-making, applying her findings to areas such as consumer behavior, interactive media, and immersive technologies. Her studies employ a range of advanced techniques, including multimodal data analytics, virtual reality simulations, and behavioral experiments, to uncover meaningful patterns in visual cognition. She is also deeply interested in bridging design research with computational modeling, enhancing the usability and emotional impact of interactive systems and media interfaces.

Award

Assist. Prof. Dr. Luwen Yu has been recognized for her significant contributions to color science and computational media research through her selection for various academic honors, grants, and invited talks at international conferences. Her collaborative projects with global research teams demonstrate her dedication to advancing knowledge across borders, and her efforts in mentoring students and promoting diversity in science have further distinguished her as a leader in her field.

Selected Publication

Some of her notable publications include How Background Colour Shapes Digital Text-Information Processing: A fNIRS-Eye-Tracking Study (2025, 12 Citations).

Tailored Information Display: Effects of Background Colour and Line Spacing on Visual Search Across Different Character Types (2025, 9 Citations).

Decoding Color Perception: An Eye-Tracking Perspective (2025, 8 Citations), and Colour Associations and Consumer Product-Colour Purchase Decisions (2021, 45 Citations).

Conclusion

Assist. Prof. Dr. Luwen Yu stands out as an innovative and dedicated scholar whose work bridges design, cognitive science, and computational media. Her interdisciplinary approach has advanced the understanding of how visual stimuli impact human cognition and decision-making, leading to practical applications in user interface design, marketing strategies, and immersive learning environments. Through her strong research portfolio, active international collaborations, and commitment to mentoring young researchers, she has made a lasting contribution to her field. Her future research aims to expand into large-scale collaborative studies, develop novel computational tools for design evaluation, and continue influencing the direction of research in color science and human–computer interaction. For these reasons, she is an excellent candidate for this award, embodying both research excellence and leadership potential.