Prof. Xinxiao Li –  Big Data Technologies – Best Researcher Award 

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Prof. Xinxiao Li -  Big Data Technologies - Best Researcher Award 

Shonan Institute of Technology - Japan

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Prof. Xinxiao Li’s academic journey began with a strong foundation in biomedical engineering and medical devices at chongqing university, where he earned his b.eng. his passion for technology and innovation led him to pursue an m.eng. in electronic physics at xi'an jiaotong university, further refining his expertise in control systems and computational methodologies. he continued his academic pursuit with a ph.d. in control science and engineering at xi'an jiaotong university, focusing on advanced control theories and digital systems. his rigorous education laid the groundwork for his remarkable contributions to software engineering and digital innovation.

🚀 Professional endeavors

with a distinguished career spanning both academia and industry, prof. li has held pivotal roles at prestigious institutions and global corporations. he began his professional journey as an assistant professor at xi'an jiaotong university, where he quickly advanced to associate professor, contributing to cutting-edge research in control systems. transitioning to japan, he served as a visiting researcher at keio university, where he expanded his expertise in software and information systems. his industrial career flourished at sony emcs corporation, followed by a long tenure at toshiba corporation, where he held key positions such as principal researcher, senior specialist, chief researcher, and expert at the digital innovation center. his work at toshiba played a crucial role in advancing digital transformation, software engineering, and human-in-the-loop systems.

🤖 Contributions and research focus

prof. Li’s research is at the forefront of software engineering, information visualization, and human-computer interaction. he has significantly contributed to the development of user-friendly Big Data Technologies interfaces, augmented reality applications, and intelligent image processing techniques. his work integrates human-in-the-loop systems, ensuring seamless interaction between technology and users. his innovative approach has driven advancements in digital solutions for industrial applications, medical systems, and consumer technology. his interdisciplinary expertise bridges the gap between engineering, artificial intelligence, and user experience, making his research highly impactful across multiple domains.

🏆 Accolades and recognition

throughout his career, prof. li has been recognized for his pioneering work in digital innovation. his research contributions have been published in prestigious journals and presented at Big Data Technologies international conferences, solidifying his reputation as a thought leader in software engineering. his tenure at toshiba corporation saw him lead multiple groundbreaking projects, earning him industry-wide recognition for his expertise in digital transformation and user interface design. his academic contributions at xi'an jiaotong university and keio university have also garnered respect, influencing new generations of researchers and engineers.

👨‍💻 Impact and influence

Prof. Li’s influence extends beyond academia and corporate research labs; his work has had a lasting impact on the technological landscape. his advancements in information visualization and image processing have been integrated into various industrial applications, improving operational efficiency and user experience. his leadership in software development and augmented Big Data Technologies reality has paved the way for innovative applications in both enterprise and consumer markets. through his collaborations with leading institutions and corporations, he has played a key role in shaping the future of digital systems and interactive technologies.

🌍 Legacy and future contributions

As a visionary in software engineering and digital systems, prof. li’s legacy is defined by his commitment to technological advancement and knowledge dissemination. his work has set new standards in user interface design, human-in-the-loop systems, and software engineering methodologies. looking ahead, he continues to explore emerging technologies, driving innovations in artificial intelligence, augmented reality, and interactive digital environments. his mentorship of students and researchers ensures that his impact will continue to shape the future of software engineering, fostering a new era of intelligent and user-centric digital solutions.

Notable Publication 

  • Title: Integrated visualization with controllable deep linking for distributed datasets
    Author(s): Li, X.; Kuroda, A.
    Journal: ACM International Conference Proceeding Series

  • Title: International Conference on Visual Computing (ICVC 99)
    Author(s): Xinxiao Li
    Journal: International Conference on Visual Computing

  • Title: Polyspector™: An interactive visualization platform optimized for visual analysis of big data
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.
    Journal: UIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology

  • Title: Advanced aggregate computation for large data visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings

  • Title: Distributed aggregate computation between server and client for interactive visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings

Assist. Prof. Dr Shahid Hussain – Computational Mathematics – Best Researcher Award

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Assist. Prof. Dr Shahid Hussain - Computational Mathematics - Best Researcher Award

College of mathematics and System Sciences , Xinjiang University Urumqi - China 

Author Profile 

ORCID

📘 Early academic pursuits

Dr. Shahid Hussain embarked on his academic journey with a strong foundation in mathematics, earning a bachelor of science in mathematics (honors) from karakoram international university, pakistan. his early passion for numerical analysis and computational techniques was evident as he pursued his ms/m.phil in mathematical modeling and scientific computing from air university, islamabad, where he specialized in numerical solutions of partial differential equations and computational fluid dynamics. this academic trajectory set the stage for his research career in applied mathematics.

🧮 Professional endeavors

Following his academic achievements, dr. hussain pursued a ph.d. in applied mathematics with a focus on finite element methods at east china normal university, shanghai. his professional career is marked by teaching and research roles, where he has made significant contributions to computational mathematics. currently affiliated with xinjiang university, urumqi, china, dr. hussain has demonstrated expertise in magnatohydrodynamics, viscoelastic fluids, and fluid-fluid interaction, contributing to both theoretical and applied advancements in the field.

🔍 Contributions and research focus

Dr. Hussain’s research is centered on developing and applying numerical methods to solve complex problems in computational fluid dynamics and mathematical modeling. his work in finite Computational Mathematics element and finite difference methods has provided insights into the behavior of viscoelastic fluids and fluid interactions under various physical conditions. these contributions have not only advanced understanding in the field but also opened pathways for further exploration in magnatohydrodynamics and fluid mechanics.

🏅 Accolades and recognition

Throughout his career, dr. hussain has been recognized for his commitment to excellence in both teaching and research. his dedication and achievements have positioned him as a respected Computational Mathematics figure in computational mathematics. his ability to foster a collaborative and innovative environment among peers and students has earned him accolades in academic and research settings.

🌟 Impact and influence

Dr. Hussain’s influence extends beyond his immediate research outputs. as an educator, he has mentored students and researchers, instilling in them a passion for problem-solving and critical Computational Mathematics thinking. his collaborative approach and innovative methods have inspired a new generation of mathematicians to pursue challenging and impactful research.

🧭 Legacy and future contributions

With a solid foundation in applied mathematics and a vision for future advancements, dr. hussain aims to continue contributing to the fields of computational mathematics and fluid dynamics. his ongoing research and teaching endeavors promise to leave a lasting legacy, bridging theoretical advancements with real-world applications in science and engineering.

Notable Publications 

  • Stabilization of interconnected models with Nitsche's interface conditions using the two-grid approach: A finite element study
    • Authors: Shahid Hussain, Md. Abdullah Al Mahbub, Xinlong Feng, Fateh Ali Rana, Fazal Haq, Arshad Hussain
    • Journal: Physics of Fluids
  • On Fractional Operators Involving the Incomplete Mittag-Leffler Matrix Function and Its Applications
    • Authors: Ahmed Bakhet, Shahid Hussain, Mohra Zayed
    • Journal: Symmetry
  • A Linear Stabilized Incompressible Magnetohydrodynamic Problem with Magnetic Pressure
    • Authors: Shahid Hussain, Ahmed Bakhet, Ghada AlNemer, Mohammed Zakarya
    • Journal: Mathematics
  • Optimization and sensitivity analysis of heat transfer for Powell–Eyring fluid between rotating rolls with temperature-dependent viscosity: A mathematical modeling approach
    • Authors: Fateh Ali, Yanren Hou, Xinlong Feng, J. K. Odeyemi, M. Zahid, Shahid Hussain
    • Journal: Physics of Fluids
  • Entropy optimization in bio-convective chemically reactive flow of micropolar nanomaterial with activation energy and gyrotactic microorganisms
    • Authors: Shahid Hussain, Fazal Haq, Hassan Ali Ghazwani, Muzher Saleem, Arshad Hussain
    • Journal: Case Studies in Thermal Engineering

Dr. Tai Fei – Information Engineering – Best Researcher Award

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Dr. Tai Fei - Information Engineering - Best Researcher Award

Fachhochschule Dortmund - Germany

Author Profile

GOOGLE SCHOLAR

Early academic pursuits 🎓

Tai Fei began his academic journey with a strong focus on signal processing and sonar technology. from september 2009 to november 2014, he pursued his ph.d. under the guidance of prof. dieter kraus at the university of bremen. his doctoral research was intricately linked to a project that involved the detection and classification of underwater targets using synthetic aperture sonar images. during this time, he collaborated with the signal processing group (spg) at the technical university of darmstadt, where prof. abdelhak zoubir served as his doctoral advisor. tai's academic foundation laid the groundwork for his future expertise in sonar technology and signal processing.

Professional endeavors 🏢

After completing his ph.d., tai fei expanded his research scope by joining the center for marine environmental sciences (marum) at the university of bremen. here, he applied his expertise in sonar technology to marine environmental research, contributing to the field of underwater target detection. his career took a turn towards the automotive industry in 2014 when he joined hella, a global leader in automotive technology. from march 2014 to october 2023, tai served as an expert in automotive radar, further broadening his experience in signal processing and its real-world applications. in november 2023, he transitioned to academia, taking on the role of interim professor at the dortmund university of applied sciences in the field of computer vision and robotics, assuming the responsibilities of prof. jörg theim.

Contributions and research focus 🔬

Tai Tei’s research primarily revolves around signal processing, sonar technology, and radar systems. during his doctoral studies, he contributed significantly to the development of algorithms for the detection and classification of underwater targets using synthetic aperture sonar. his work in this field extended to marine Information Engineering environmental research, where he applied sonar technology to study underwater environments. later, his expertise evolved into automotive radar, where he played a key role in the development of radar systems used in modern vehicles for safety and automation. his current research focus includes computer vision and robotics, where he integrates his deep understanding of signal processing into cutting-edge technological advancements.

Accolades and recognition 🏅

Tai’s work has been widely recognized in both the academic and industrial sectors. his contributions to sonar and radar technology have been instrumental in advancing both marine environmental sciences and automotive safety. his transition to academia as an interim professor at the dortmund university of applied Information Engineering sciences is a testament to his recognition as a leading expert in his field. throughout his career, he has worked alongside esteemed professors such as prof. dieter kraus and prof. abdelhak zoubir, further validating his standing in the scientific community.

Impact and influence 🌍

Tai fei’s impact spans multiple industries and disciplines. his early work on synthetic aperture sonar has contributed to advancements in underwater target detection, Information Engineering with implications for both marine research and defense technologies. in the automotive industry, his expertise in radar systems has played a role in enhancing vehicle safety through the development of cutting-edge radar technologies. now, as an interim professor, he is poised to influence the next generation of researchers and engineers, shaping the future of computer vision and robotics.

Legacy and future contributions 🔮

Tai’s legacy is defined by his interdisciplinary expertise and his ability to transition between academia and industry. his work in signal processing, sonar, and radar technology will continue to influence both marine and automotive fields. as he takes on a more prominent academic role, his future contributions are likely to expand into the realms of computer vision and robotics, further bridging the gap between theoretical research and practical applications. his commitment to innovation ensures that his impact will be long-lasting and far-reaching.

Notable Publications

  1. Title: Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
    Authors: Y. Sun, T. Fei, X. Li, A. Warnecke, E. Warsitz, N. Pohl
    Journal: IEEE Sensors Journal, 1-11, 2020
  2. Title: Contributions to Automatic Target Recognition Systems for Underwater Mine Classification
    Authors: T. Fei, D. Kraus, A.M. Zoubir
    Journal: IEEE Transactions on Geoscience and Remote Sensing 53 (1), 505-518, 2014
  3. Title: Gesture Classification with Handcrafted Micro-Doppler Features using a FMCW Radar
    Authors: Y. Sun, T. Fei, F. Schliep, N. Pohl
    Journal: 2018 IEEE MTT-S International Conference on Microwaves for Intelligent Systems, 2018
  4. Title: Automatic Radar-based Gesture Detection and Classification via a Region-based Deep Convolutional Neural Network
    Authors: Y. Sun, T. Fei, S. Gao, N. Pohl
    Journal: ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
  5. Title: A High-Resolution Framework for Range-Doppler Frequency Estimation in Automotive Radar Systems
    Authors: Y. Sun, T. Fei, N. Pohl
    Journal: IEEE Sensors Journal 19 (23), 11346-11358, 2019

Assist Prof Dr. Amir R. Masoodi – Numerical Methods – Best Researcher Award

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Assist Prof Dr. Amir R. Masoodi - Numerical Methods - Best Researcher Award

Ferdowsi University of Mashhad - Iran

Professional Profile

SCOPUS 

ORCID 

📚 EARLY ACADEMIC PURSUITS

Amir R. Masoodi embarked on his academic journey at the Ferdowsi University of Mashhad, where he demonstrated exceptional aptitude and dedication. He earned his Bachelor's degree in Civil Engineering with a stellar GPA of 17.60/20 in 2012. His quest for knowledge continued with a Master’s degree in Structural Engineering, focusing on the Stability of Structures, and culminating with a Ph.D. in Structural Engineering (Applied Mechanics) in 2020. His doctoral thesis, "Nonlinear finite element analysis of composite shells using strain field mixed interpolation method," stands as a testament to his rigorous research capabilities.

🏗️ PROFESSIONAL ENDEAVORS

Dr. Masoodi’s professional career is marked by his role as an Assistant Professor in Structural Engineering at Ferdowsi University of Mashhad. He has been a pivotal figure in the Department of Civil Engineering, teaching a variety of courses, including Engineering Mechanics, Structural Analysis, and Design of Concrete Structures. His expertise extends beyond academia, with significant contributions as a structural counselor and CEO, demonstrating his leadership and practical application of structural engineering principles in the industry.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Masoodi’s research is centered on the stability and dynamics of structures, soil-structure interaction, and nonlinear mechanics of solids. His work on composite materials, functionally graded materials, and carbon nanotubes has been groundbreaking. He has developed advanced finite element methods for analyzing complex structures, contributing over 38 peer-reviewed journal articles and numerous conference proceedings Numerical Methods that highlight his innovative approaches to structural engineering problems.

🏅 ACCOLADES AND RECOGNITION

Throughout his career, Dr. Masoodi has received numerous accolades that underscore his academic and research excellence. He was recognized as a distinguished lecturer at Sadjad University of Technology in 2019 and was honored as an elite Ph.D. student by the National Elite Foundation  Numerical Methods of Iran from 2016 to 2018. His consistent excellence earned him the title of Top Ph.D. student in his department and top researcher at Ferdowsi University of Mashhad in 2015-2016.

🌍 IMPACT AND INFLUENCE

Dr. Masoodi’s influence extends across the global academic community. His work has significantly impacted the understanding and development of composite and functionally graded materials. His innovative research methods and findings have been widely cited and utilized by fellow Numerical Methods researchers, enhancing the field’s overall knowledge base and practical applications in structural engineering.

🔗 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Masoodi’s legacy is built on a foundation of rigorous research, innovative solutions, and a commitment to education. As he continues to explore new frontiers in structural engineering, his future contributions are anticipated to further advance the understanding and application of nonlinear mechanics and composite materials. His ongoing projects and publications ensure that his work will continue to influence and inspire future generations of engineers and researchers.

NOTABLE PUBLICATIONS

Rehabilitation of reinforced concrete beam: Sustainable restoration mortar with waste materials 2024(7)

Natural Frequency Response of FG-CNT Coupled Curved Beams in Thermal Conditions 2024(2)

Thermal Frequency Analysis of Double CNT-Reinforced Polymeric Straight Beam 2024(7)

Improving composite cable performance: Nonlinear thermo-elastic analysis  2023(2)

Enhancing Mechanical Behavior and Energy Dissipation in Fiber-Reinforced Polymers through Shape 2023(2)