What is "Super Smart Society Innovation"?

This is a series of lectures by lecturers from the SSS Promotion Consortium partners on cutting-edge issues in solving real-world problems and realizing a super smart society. This course aims to help students cultivate a high-level understanding of both quantum science and a super smart society, professional expertise in specialized fields related to both cyberspace and physical space technologies, and critical-thinking skills to solve multidisciplinary social issues.

Super Smart Society Innovation A1: Frontiers in Quantum Technology

Offered quarter: 3Q
Students learn about quantum sensing using spin defects and color centers in wide bandgap semiconductors, cutting-edge research on quantum computers, and AI related to mobility, especially focusing on image recognition, data analysis, and optimization technologies.

  • Class 1　Diamond nitrogen-vacancy (NV) center and its quantum sensing
    　　　　 Lecturer: Takeshi Oshima, QST

  • Class 2　Spin defects/color centers in other wide bandgap semiconductors
    　　　　 Lecturer: Takeshi Oshima, QST

  • Class 3　Creation of spin defects/color centers
    　　　　 Lecturer: Takeshi Oshima, QST

  • Class 4　Overview of quantum computers
    　　　　 Lecturer: Masayuki Shirane, NEC System Platform Research Laboratories

  • Class 5　NEC’s activities for superconducting quantum computers
    　　　　 Lecturer: Masayuki Shirane, NEC System Platform Research Laboratories

  • Class 6　Quantum and simulated annealing theory and their applications
    　　　　 Lecturer: Masayuki Shirane, NEC System Platform Research Laboratories

  • Class 7　AI Technology for Mobility Industry
    　　　　 Lecturer: Daisuke Kaji, Denso Corporation

Super Smart Society Innovation A2: IoT/ Robotics/Smart city

Offered quarter: 4Q
Students learn about the latest research on control and communication technologies that support cloud robotics, approaches to smart cities, examples of IoT applications in industry, and mechanisms for creating new value by sharing data among industrial machines.

  • Class 1　Advanced robot control technologies utilizing communication networks
    　　　　 Lecturer: Yuji Yoshida, NEC System Platform Research Laboratories

  • Class 2　KDDI Research’s Challenge toward Post 5G/6G Era
    　　　　 Lecturer: Takahito Yoshihara, KDDI Research, Inc.

  • Class 3　Latest Research and Development on IoT in KDDI Research
    　　　　 Lecturer: Takahito Yoshihara, KDDI Research, Inc.

  • Class 4　Smart Manufacturing and Data Utilization (part 1)
    　　　　 Lecturer: Takahide Kaneara, Yaskawa Electric Corporation

  • Class 5　Smart Manufacturing and Data Utilization (part 2)
    　　　　 Lecturer: Takahide Kaneara, Yaskawa Electric Corporation

  • Class 6　Network control technology for supporting remote robot control
    　　　　 Lecturer: Takanori Iwai, NEC System Platform Research Laboratories

  • Class 7　Operational revolution for process industry with digital twin
    　　　　 Lecturer: Minoru Nakaya, Yokogawa Electric Corporation

Super Smart Society Innovation A3: Frontiers in Smart Agriculture

Offered quarter: 2Q
Students learn about the purpose, significance, and challenges of smart agriculture, as well as the latest practical examples, and think about solutions to problems in agriculture and desirable future visions for agriculture.

  • Class 1　Why is Smart Agriculture Needed? Problems in Agriculture, Forestry and Fisheries.
    　　　　 Lecturer: Akira Inaba, Ministry of Agriculture, Forestry and Fisheries

  • Class 2　Be Smarter! Future of Agriculture, Forestry and Fisheries.
    　　　　 Lecturer: Akira Inaba, Ministry of Agriculture, Forestry and Fisheries

  • Class 3　Current state of research in agricultural information technology in Japan
    　　　　 Lecturer: Noriyuki Murakami, National Agriculture and Food Research Organization

  • Class 4　Realization of Society 5.0 by utilizing Precision Agriculture into Smart Agriculture in NARO, Japan
    　　　　 Lecturer: Yuji Nagasaki, National Agriculture and Food Research Organization

  • Class 5　Transforming Agri & Food Systems Under a Changing Climate
    　　　　 Lecturer: Satoshi Koike, vegetalia, inc.

  • Class 6　Next-Generation Green Revolution Integrating Science and Technology
    　　　　 Lecturer: Satoshi Koike, vegetalia, inc.

  • Class 7　Kubota’s approach to Smart Agriculture and future directions
    　　　　 Lecturer: Satoshi Iida, Kubota Corporation

Super Smart Society Innovation A4: Frontiers in Smart Workplaces

Offices, homes, third places… Workplaces are diversifying due to changes in work styles and the COVID-19 pandemic. What should each of these workplaces be to work more efficiently and vigorously for the coming decline in the population of the working-age generation? Using examples from cutting-edge architectures, we will discuss smart places to work, ways of working, and learning.

  • Class 1　Future workplaces from Mitsubishi Estate’s vision
    　　　　 Lecturer: Miki Mikami, Mitsubishi Estate Company, Limited

  • Class 2　Center of Workplace: Office
    　　　　 Lecturer: Takuya Furuhashi, MITSUBISHI ELECTRIC Corporation

  • Class 3　Place where work and rest coexist: Resident
    　　　　 Lecturer: Yoshihiko Matsumoto, ASAHI KASEI CORPORATION

  • Class 4　Place that is neither office nor home: Third Place
    　　　　 Lecturer: Chikara Kanda, Mitsubishi Estate Company, Limited

  • Class 5　Automated control to support smart workplaces
    　　　　 Lecturer: Ryota Dazai, Azbil Corporation

  • Class 6　Design of work styles for workers
    　　　　 Lecturer: Kei Akiyama, ITOKI CORPORATION

  • Class 7　Design for student learning
    　　　　 Lecturer: Taichi Miyamae, ITOKI CORPORATION

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