Asilla, which specializes in security systems featuring state-of-the-art behavior recognition AI, has established a new research team focused on human science. The team, known as the Human Science AI Research (HSAR) Team, was launched in February 2023 with the goal of enhancing AI technology even further.
In this article, we spoke to Asilla’s CTO Masahiro Wakasa, the founder of the team, concerning the team's innovative ideas and cutting-edge technologies that will significantly transform the platform of behavior recognition AI.
- First of all, please tell us about the HSAR team structure?
HSAR is a team of experts in human science, the scientific study of human beings, composed not only of computer science specialists but also of professionals from diverse fields. The team includes specialists in areas such as 'gait analysis', which seeks to enhance the precision of gait recognition, 'brain science', which scientifically examines the structure of the human brain and behavior, and 'human trajectory', which aims to improve the accuracy of person identification, among other domains.
Specialist in Gait Analysis
Mr. Yap Miao Sin Robin (from Singapore)
・National University of Singapore (Bachelor & Master: Mechanical Engineering)
・Tokyo Institute of Technology (PhD: Computational Intelligence and Systems Science)
・Engaged in research on gait analysis at Tokyo Institute of Technology.
・Engaging in research on human gait recognition at HSAR.
Mr. Mohammad Abdolrahmani (from Iran)
・University of Social Welfare and Rehabilitation Sciences (Bachelor of Occupational Therapy)
・Iran University of Medical Sciences (Master's degree in Anatomy)
・Osaka University (PhD: Cognitive Neuroscience)
・Engaged in research on the relationship between behavior and neuroscience at Osaka University and RIKEN.
・Engaging in research on behavior analysis at HSAR.
Specialist in Human Trajectory Analysis
Mr. Hesham Shehata (from Egypt)
・Alexandria University (Bachelor & Master: Mechanical Engineering)
・After teaching physics at the Egypt-Japan University of Science and Technology, he worked on human trajectory analysis research at Kyoto University.
・Engaging in research on human trajectory analysis at HSAR.
Specialist in Bioengineering
Mr. Santosh Kumar (from Morioka, Iwate Prefecture, Japan)
・University of Toronto (B.Sc. Biological Sciences)
・Plans to study for a PhD at Tier 1 University
・Engaging in branding and university partnerships at HSAR.
Specialist in Behavior Analysis
Mr. Trung Quang Tran (from Vietnam）
・Hanoi University of Technology (Bachelor's degree: Control Engineering)
・Korea Advanced Institute of Science and Technology (M.Sc. Information Engineering)
・Engaging in research on behavior analysis at HSAR
Specialist in Person Identification Analysis・
Mr. Vi Duc Huan (from Vietnam)
・Vietnam National University, Hanoi (Bachelor of Physics)
・Hokkaido University (Master of Science in Space Science)
・Engaging in research on human gait recognition
Specialist in Spatial Information Science
Mr. Nitish Jaiswal (from New Delhi, India)
・Indian Institute of Technology, Varanasi (B.Tech: Civil Engineering)
・University of Tokyo (M.Sc. Spatial Information Science)
・Engaging in human gait recognition as a research associate at Tokyo Institute of Technology.
Computer Vision Expert
Mr. Niraj Yadav (from Jaipur, India)
・Indian Institute of Technology, Mandi (B.Tech: Computer Science and Engineering)
・Engaging in computer vision algorithms development at HSAR
Computer Vision Expert
Mr. Lee Wei Chang (from Taiwan)
・National Chung Shan University (Bachelor's degree: Information Engineering)
・National Tsing Hua University (Master's degree in Information Engineering)
・Engaging in computer vision algorithms development at HSAR
- Apart from the various areas of expertise, the team is also composed of members from different nationalities.
Indeed, the HSAR comprises researchers from a range of countries including Egypt, Iran, Singapore, India, Taiwan, and Vietnam, making it a diverse team that transcends national boundaries.
The team's broad range of expertise and cultural backgrounds are expected to bring varied perspectives and values that can expand the scope of our research.
- What led to the formation of such a diverse team of members?
We did not specifically set out to recruit researchers from diverse nationalities and backgrounds for the Human Science AI Research Team. Our focus was on attracting individuals with expertise in the field of human science, who also shared our vision of taking behavior recognition AI to new heights. The unique value of Asilla technology naturally drew in people from various backgrounds, resulting in a diverse team with varied research interests, cultures, and backgrounds. Our aim is to leverage this diversity to broaden the scope of our research and achieve our goal of advancing behavior recognition AI.
While the language used by the team is predominantly English, members have varying perspectives on the field. The synergy between individuals who specialize in AI and those with expertise in human science has resulted in an unexpectedly positive outcome.
- What specific synergies are being created?
The team members are constantly on the lookout for new information in their respective fields, thoroughly reading and comprehending academic papers, and striving to gain new skills and knowledge. What may seem "obvious" to us in our own field can often present a completely fresh perspective in other fields.
Let me give you a specific example. One of our team members was conducting AI research and faced unexpected difficulties. He was about to give up when a colleague from a completely different field offered some advice that opened up a new approach. Thanks to this input, the research continued, and we are now tackling it in a new way. We learned that exchanging ideas and having informal conversations from different perspectives can directly impact our research and make a significant difference.
Each member of our team is dedicated to their individual work and takes their own evaluations seriously. This dedication and awareness of timelines and outputs enable us to produce highly effective results as a team, which is a unique and valuable feature.
HSAR has plans to expand the research team with the addition of more researchers to further strengthen the team. It is expected that a larger team will create even greater synergies and expand the scope of the research.
Profile of Masahiro Wakasa
After completing his postgraduate studies at Tokyo Institute of Technology, he worked for JGC Corporation where he was involved in plant design IT work on overseas construction projects. He then joined Asilla Corporation, where he was in charge of proof-of-concept and product development projects related to behavior recognition AI, and became the company's executive officer and CTO in 2022. He continues to focus on product development using AI technology and research and development of new technologies.
Asilla is dedicated to the philosophy of "Technology Driven Future" and works on research and development every day to realize a world where everyone can live safely and securely. Our team is particularly driven to become the global leader in behavior recognition AI, and we work together to constantly advance and evolve our technology.
Moving forward, we will continue to push for the advancement of our behavior recognition AI technology and create an environment that inspires engineers to pursue their own careers and passions. If you share our interest in AI related to human behavior, we welcome the opportunity to collaborate with you and create meaningful results.
Queries Regarding HSAR: email@example.com Person in-charge: Wakasa
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Information about HSAR can be found at the following link:
●Human Science AI: Aiming to Develop AI that Takes on World’s Challenges
●AI Field and its Different Specializations: Aiming to Develop AI that Takes on World’s Challenges
●Why Human Science AI Research Team is Required - What is needed for the future of AI?
●Demonstrating towards World's No.1 Behavior Recognition AI Technology
●The Era of AI trained by Generated Data - The Potential for Research Hidden in Generative AI