Prof. Dae-Seong Kang | Sensing Technology | Excellence in Research Award

Prof. Dae-Seong Kang | Sensing Technology | Excellence in Research Award 

Prof. Dae-Seong Kang | Sensing Technology | Dong-A University | South Korea

Prof. Dae-Seong Kang is a Professor in the Department of AI Software at Dong-A University, Republic of Korea, with established expertise in artificial intelligence, computer vision, and intelligent perception systems, and a strong academic profile grounded in doctoral-level training from a research-intensive university. He has developed a distinguished professional career combining advanced research leadership, graduate education, and large-scale collaboration with industry and public-sector partners. Prof. Dae-Seong Kang has served as Principal Investigator on more than twenty-five national and international research projects, demonstrating sustained capability in managing complex, multidisciplinary initiatives aligned with intelligent sensing and real-time AI systems.  His research interests focus on artificial intelligence, computer vision, deep learning, image and video analytics, and intelligent perception systems, with emphasis on robust, lightweight, and real-time models suitable for sensing environments. His scholarly output is substantial, with 52 Scopus-indexed documents, 161 citations, and an h-index of 4, including peer-reviewed publications in IEEE-aligned and Scopus-indexed journals and conferences. His professional service includes editorial and reviewer roles, international collaborations, senior membership in AI-focused professional societies, and leadership in academia–industry partnerships, alongside 25+ research projects, 10+ consultancy engagements, 5 published patents, and 1 academic book.

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Featured Publications

Best Overall Sensing Technology

Introduction Best Overall Sensing Technology

Welcome to the Best Overall Sensing Technology Award, celebrating innovation and excellence in sensing technology. This award recognizes groundbreaking contributions that have the potential to revolutionize industries and improve the quality of life.

About the Award: The Best Overall Sensing Technology Award is open to individuals and teams who have developed cutting-edge sensing technologies. There are no age limits for applicants, and both academic and industry professionals are eligible to apply. Publications related to the sensing technology are encouraged but not required.

Eligibility:

  • Open to individuals and teams
  • No age limits
  • Academic and industry professionals eligible
  • Publications encouraged but not required

Qualifications: Applicants should have a strong background in sensing technology, demonstrated through academic achievements, professional experience, and innovative contributions to the field.

Submission Guidelines:

  • Submit a detailed description of the sensing technology
  • Include supporting documents such as publications, patents, and technical specifications
  • Provide a biography highlighting relevant experience and achievements
  • Include an abstract summarizing the technology and its potential impact
  • Submit supporting files, such as videos, images, or prototypes, if available

Evaluation Criteria: Submissions will be evaluated based on the following criteria:

  • Innovation and creativity
  • Technical merit
  • Potential impact on industry or society
  • Feasibility and scalability

Recognition: Winners of the Best Overall Sensing Technology Award will receive a cash prize, a certificate of achievement, and recognition on our website and social media platforms. They will also have the opportunity to present their technology at a special event.

Community Impact: The award aims to promote collaboration and knowledge sharing within the sensing technology community, fostering a culture of innovation and advancement in the field.

Biography: Applicants should provide a brief biography highlighting their relevant experience, qualifications, and achievements in the field of sensing technology.

Abstract and Supporting Files: Applicants should include an abstract summarizing their sensing technology and its potential impact. Supporting files such as videos, images, or prototypes can also be submitted to supplement the application.