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

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

Dr. S. Gopal Krishna Patro – Machine Learning and Deep Learning – Best Researcher Award

Dr. S. Gopal Krishna Patro - Machine Learning and Deep Learning - Best Researcher Award

Woxsen University - India

Professional Profile

SCOPUS

ORCID

Early Academic Pursuits

Dr. S. Gopal Krishna Patro embarked on his academic journey with a focus on computer science and engineering. His dedication to education and research is evident from his extensive teaching experience, which began shortly after completing his advanced studies. His early academic pursuits laid a strong foundation in various aspects of computer science, particularly in automata theory, formal language, and neural networks.

Contributions and Research Focus

Dr. Patro's research and teaching interests span a wide range of topics within computer science. His undergraduate teaching interests include automata theory, formal language, and neural networks. For postgraduate students, he focuses on data mining, data warehousing, and machine learning, particularly recommender systems. His contributions to these fields involve both theoretical exploration and practical applications, Machine Learning and Deep Learning preparing students for both academic and industry careers.

Accolades and Recognition

Throughout his career, Dr. Patro has been recognized for his dedication to teaching and his contributions to academia. His administrative roles, including professor-in-charge of the exam section and coordinator positions, highlight his leadership abilities and commitment to improving Machine Learning and Deep Learning educational outcomes.

Impact and Influence

Dr. Patro's impact extends beyond the classroom. His involvement in placement coordination at GIET University helped bridge the gap between academia and industry, providing students with valuable career opportunities. His role in managing the exam section at K L Deemed to be Machine Learning and Deep Learning University ensured the smooth functioning of academic assessments, contributing to the overall academic integrity of the institution.

Legacy and Future Contributions

Dr. Patro continues to influence the field of computer science education through his teaching, administrative roles, and research. His legacy is marked by his commitment to student success and his efforts to enhance the academic and professional pathways for his students. As he continues his career at Woxsen University, his future contributions are anticipated to further advance the fields of data mining, machine learning, and neural networks, fostering innovation and excellence in computer science education.

NOTABLE PUBLICATIONS