Stephen Ibaraki, founder of the United Nations ITU ACM XPRIZE AI for Good Global Summit and financial industry’s Fintech Ideas Festival (both ranked No.1), shares his deep experiences as forward thinking entrepreneur, tech guru, and venture capitalist. In high demand with more than 100 global engagements in 2019, Stephen keynoted at the annual CEO YPO Edge Conference this year (YPO: 27K CEOs, $9 Trillion annual revenue), shared his futurist insights at multiple session at SxSW in March 2019; keynoted at AI Vienna and Kingfomarket 2019 Barcelona in May.
Stephen Ibaraki is Chairman, Managing General Partner REDDS Capital; globally unique with concurrent Chairman, Founder, Board roles in: Business/finance, successful serial Entrepreneurship, no.1 computing Science organizations, no. 1 UN innovation, top Industry-organizations/think tanks, no.1 Summits. 100+ global engagements guiding $10+ Trillion in investments.
Stephen Ibaraki, founder of the United Nations ITU ACM XPRIZE AI for Good Global Summit and financial industry’s Fintech Ideas Festival (both ranked No.1), shares his deep experiences as forward thinking entrepreneur, tech guru, and venture capitalist. In high demand with more than 100 global engagements in 2019, Stephen keynoted at the annual CEO YPO Edge Conference this year (YPO: 27K CEOs, $9 Trillion annual revenue), shared his futurist insights at multiple session at SxSW in March 2019; keynoted at AI Vienna and Kingfomarket 2019 Barcelona in May.
Stephen Ibaraki is Chairman, Managing General Partner REDDS Capital; globally unique with concurrent Chairman, Founder, Board roles in: Business/finance, successful serial Entrepreneurship, no.1 computing Science organizations, no. 1 UN innovation, top Industry-organizations/think tanks, no.1 Summits. 100+ global engagements guiding $10+ Trillion in investments.
Session: On the use of AI in Commercial Property
Abstract :
- Comments on Artificial Intelligence: goals, expectations, reality.
- Deep Learning and Machine Learning: overview of techniques.
- Applications in Commercial Property modelling.
- Understanding the models. Can they be trusted? How?
- Other AI examples (& how to gain confidence, with caveats).
Bio:
Director and Co-Founder of officeblocks.com, a data and analytics company specialising in
Commercial Real Estate. Co-Founder and Chief Technology Officer of riskintegrated.com, a
financial risk management technology and consulting company.
Ten years' experience developing advanced mission concepts for the European Space
Agency. Expertise in dynamic systems, simulation, and software development, with current
emphasis on Artificial Intelligence (AI) and Machine Learning (ML).
I have a PhD in Aerospace Engineering from Stanford University, a Master's degree from
MIT in Aeronautics & Astronautics, and a BSc in Aeronautical Engineering from the
University of Glasgow.
I am a Private Pilot and owner/operator of an ex-Royal Air Force Bulldog TMk 1 training
aircraft based on the Isle of Man, British Isles.
Please visit my ResearchGate page for my academic and professional articles.
Session: On the use of AI in Commercial Property
Abstract :
- Comments on Artificial Intelligence: goals, expectations, reality.
- Deep Learning and Machine Learning: overview of techniques.
- Applications in Commercial Property modelling.
- Understanding the models. Can they be trusted? How?
- Other AI examples (& how to gain confidence, with caveats).
Bio:
Director and Co-Founder of officeblocks.com, a data and analytics company specialising in
Commercial Real Estate. Co-Founder and Chief Technology Officer of riskintegrated.com, a
financial risk management technology and consulting company.
Ten years' experience developing advanced mission concepts for the European Space
Agency. Expertise in dynamic systems, simulation, and software development, with current
emphasis on Artificial Intelligence (AI) and Machine Learning (ML).
I have a PhD in Aerospace Engineering from Stanford University, a Master's degree from
MIT in Aeronautics & Astronautics, and a BSc in Aeronautical Engineering from the
University of Glasgow.
I am a Private Pilot and owner/operator of an ex-Royal Air Force Bulldog TMk 1 training
aircraft based on the Isle of Man, British Isles.
Please visit my ResearchGate page for my academic and professional articles.
Session : AI, Automation and Knowledge Management in Smart Factories
Abstract :
Manufacturing is fast moving towards smart factories adopting Industry 4 technologies.
AI/automation is one of the 4 grand challenges stated in the UK Industrial Strategy White Paper
(2017). It was reported that AI and automation could increase industrial efficiency by up to 30% and
mitigate disruptions (‘The Future of Manufacturing’, The Telegraph, 2018). Robots, simulation and
digital twins could keep production operating and remotely controlled when employees are ill or not
able to be on-site during disasters like Covid-19. In this presentation, Prof Gao will present data to
show the trends, opportunities and challenges of smart factories, focusing on the application of AI,
robotic automation and information/knowledge management in high value manufacturing industry.
He will also introduce some research and innovation projects carried out by his Group with industry.
Prof Gao will discuss with delegates the future implementations of Industry 4 technologies, through
the introduction of a proposed large-scale collaborative project ‘Smart-Factory’, which focuses on
the manufacturing of low volume, high value and/or specialised products. Manufacturing of these
high-end products still very much relies on manual operations which are the main causes of high
cost, low productivity and obstacles to digitisation. The overall objective of the Smart-Factory
project is to develop, implement and test advanced digital, robot, Internet of Things (IoT) and AI
technologies to automate current manual processes, in order to increase efficiency, productivity,
high value knowledge-intensive jobs, improve competitiveness, safe operations and resilience in
times of disruptions. Comments and recommendations from the delegates will be discussed for
future research, development and industrial applications.
Bio:
James Gao holds the Medway Chair of Manufacturing Engineering at the University of Greenwich
(UK). He is currently the director of research (School of Engineering) and leads the Mechanical,
Manufacturing and Management research group. Prior to his current position, he was a
lecturer/senior lecturer at Cranfield University (1993-2006), and a research fellow at Loughborough
University (1989-1993). He obtained BSc in mechanical engineering from Dalian Institute of
Technology in 1984, MSc and PhD from the University of Manchester Institute of Science and
Technology (UMIST) in 1987 and 1989 respectively. He published over 250 papers in international
journals and conferences, and directed a large number of research and innovation projects in
automation, AI and robots in smart manufacturing, information and knowledge management, digital
manufacturing and product life-cycle management. Prof Gao chaired/co-chaired several international
conferences and is an associate editor/member of the editorial boards of several international
journals.
Session : AI, Automation and Knowledge Management in Smart Factories
Abstract :
Manufacturing is fast moving towards smart factories adopting Industry 4 technologies.
AI/automation is one of the 4 grand challenges stated in the UK Industrial Strategy White Paper
(2017). It was reported that AI and automation could increase industrial efficiency by up to 30% and
mitigate disruptions (‘The Future of Manufacturing’, The Telegraph, 2018). Robots, simulation and
digital twins could keep production operating and remotely controlled when employees are ill or not
able to be on-site during disasters like Covid-19. In this presentation, Prof Gao will present data to
show the trends, opportunities and challenges of smart factories, focusing on the application of AI,
robotic automation and information/knowledge management in high value manufacturing industry.
He will also introduce some research and innovation projects carried out by his Group with industry.
Prof Gao will discuss with delegates the future implementations of Industry 4 technologies, through
the introduction of a proposed large-scale collaborative project ‘Smart-Factory’, which focuses on
the manufacturing of low volume, high value and/or specialised products. Manufacturing of these
high-end products still very much relies on manual operations which are the main causes of high
cost, low productivity and obstacles to digitisation. The overall objective of the Smart-Factory
project is to develop, implement and test advanced digital, robot, Internet of Things (IoT) and AI
technologies to automate current manual processes, in order to increase efficiency, productivity,
high value knowledge-intensive jobs, improve competitiveness, safe operations and resilience in
times of disruptions. Comments and recommendations from the delegates will be discussed for
future research, development and industrial applications.
Bio:
James Gao holds the Medway Chair of Manufacturing Engineering at the University of Greenwich
(UK). He is currently the director of research (School of Engineering) and leads the Mechanical,
Manufacturing and Management research group. Prior to his current position, he was a
lecturer/senior lecturer at Cranfield University (1993-2006), and a research fellow at Loughborough
University (1989-1993). He obtained BSc in mechanical engineering from Dalian Institute of
Technology in 1984, MSc and PhD from the University of Manchester Institute of Science and
Technology (UMIST) in 1987 and 1989 respectively. He published over 250 papers in international
journals and conferences, and directed a large number of research and innovation projects in
automation, AI and robots in smart manufacturing, information and knowledge management, digital
manufacturing and product life-cycle management. Prof Gao chaired/co-chaired several international
conferences and is an associate editor/member of the editorial boards of several international
journals.
Marina Dabić is Full Professor at University of Zagreb, Faculty of Economics and Business, Croatia, and Nottingham Business School, NTU, U.K. In her career, she has achieved success and acclaim in a range of different projects, such as HORIZON 2020, ERASMUS +, etc., and was a grant holder for EC TEMPUS FoSentHE project. She prepared background report for OECD/EC HEinnovate for Croatia. Professor Dabic is member of the Board of Governors for IEEE-TEM. She is the author or co-editor of seven books, and has authored or co-authored over 200 journal manuscripts published in IEEE-TEM; TFSC, JIBS, JBR, JWB, IMR, IBR, among others. Prof Dabić attended more than 300 conferences and be in the program comity for more than fifty. She is an Associate Editor of the Technological Forecasting and Social Change, and Technology in Society. She is Department Editor for IEEE- Transactions on Engineering Management.
Marina Dabić is Full Professor at University of Zagreb, Faculty of Economics and Business, Croatia, and Nottingham Business School, NTU, U.K. In her career, she has achieved success and acclaim in a range of different projects, such as HORIZON 2020, ERASMUS +, etc., and was a grant holder for EC TEMPUS FoSentHE project. She prepared background report for OECD/EC HEinnovate for Croatia. Professor Dabic is member of the Board of Governors for IEEE-TEM. She is the author or co-editor of seven books, and has authored or co-authored over 200 journal manuscripts published in IEEE-TEM; TFSC, JIBS, JBR, JWB, IMR, IBR, among others. Prof Dabić attended more than 300 conferences and be in the program comity for more than fifty. She is an Associate Editor of the Technological Forecasting and Social Change, and Technology in Society. She is Department Editor for IEEE- Transactions on Engineering Management.
Neil Sahota (萨冠军) is an IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) subject matter expert, and Faculty at UC Irvine. With 20+ years of business experience, he works with clients and business partners to create next generation products/solutions powered by emerging technology.
His work experience spans multiple industries including legal services, healthcare, life sciences, retail, travel and transportation, energy and utilities, automotive, telecommunications, media/communication, and government. Moreover, Neil is one of the few people selected for IBM’s Corporate Service Corps leadership program that pairs leaders with NGOs to perform community-driven economic development projects.
Neil Sahota (萨冠军) is an IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) subject matter expert, and Faculty at UC Irvine. With 20+ years of business experience, he works with clients and business partners to create next generation products/solutions powered by emerging technology.
His work experience spans multiple industries including legal services, healthcare, life sciences, retail, travel and transportation, energy and utilities, automotive, telecommunications, media/communication, and government. Moreover, Neil is one of the few people selected for IBM’s Corporate Service Corps leadership program that pairs leaders with NGOs to perform community-driven economic development projects.
Richard Evans is Director of the BSc Product Design programme and Associate Professor in Human Factors for Design at Brunel University London. He is an established academic with extensive research experience in the fields of design and engineering management, innovation management, and new product development. He has worked in a variety of industries from retail to aerospace and defence, conducting his Ph.D. in collaboration with BAE Systems plc. From 2013-15, Richard worked as a Research Fellow at the Centre for Innovative Product Development and Manufacturing at the University of Greenwich, specialising in the field of knowledge management for collaborative product development. Dr Evans collaborates extensively with world-leading academics across the world, including China, Mexico and Turkey. He works closely with UK-based manufacturers in fields including new product development and engineering management. He has authored 90+ publications in e.g., IEEE Transactions on Engineering Management, Robotics and Computer Integrated Manufacturing, International Journal of Production Research, and Computers in Human Behavior.
Richard Evans is Director of the BSc Product Design programme and Associate Professor in Human Factors for Design at Brunel University London. He is an established academic with extensive research experience in the fields of design and engineering management, innovation management, and new product development. He has worked in a variety of industries from retail to aerospace and defence, conducting his Ph.D. in collaboration with BAE Systems plc. From 2013-15, Richard worked as a Research Fellow at the Centre for Innovative Product Development and Manufacturing at the University of Greenwich, specialising in the field of knowledge management for collaborative product development. Dr Evans collaborates extensively with world-leading academics across the world, including China, Mexico and Turkey. He works closely with UK-based manufacturers in fields including new product development and engineering management. He has authored 90+ publications in e.g., IEEE Transactions on Engineering Management, Robotics and Computer Integrated Manufacturing, International Journal of Production Research, and Computers in Human Behavior.
Andy Chen is the President & CEO of Catronic Enterprise a global consulting firm. The firm’s principle business is to provide consulting services for utility industry worldwide.
Andy is a senior business advisor for several leading global consulting firms and enterprise software vendors. Andy held the position of the Chief Technology Officer and Vice President, Enterprise Strategy and Architecture of the largest Canadian-based electricity generator.
Andy is the President, IEEE Technology and Engineering Management Society (TEMS) a member of Board of Governors 2019/2020 for IEEE Computer Society (CS). He participates in the United Nations Global Pulse’s Data Privacy Advisory Group. He is also a director for the Federation of Enterprise Architecture Professional Organizations’ board and a member of the Technical Advisory Council for the FinTech Ideas Festival. He also served as the Chair of the Technical Advisory Council for YinTech Investment Holding Ltd.
Andy Chen is the President & CEO of Catronic Enterprise a global consulting firm. The firm’s principle business is to provide consulting services for utility industry worldwide.
Andy is a senior business advisor for several leading global consulting firms and enterprise software vendors. Andy held the position of the Chief Technology Officer and Vice President, Enterprise Strategy and Architecture of the largest Canadian-based electricity generator.
Andy is the President, IEEE Technology and Engineering Management Society (TEMS) a member of Board of Governors 2019/2020 for IEEE Computer Society (CS). He participates in the United Nations Global Pulse’s Data Privacy Advisory Group. He is also a director for the Federation of Enterprise Architecture Professional Organizations’ board and a member of the Technical Advisory Council for the FinTech Ideas Festival. He also served as the Chair of the Technical Advisory Council for YinTech Investment Holding Ltd.
Chaesub Lee was elected Director of the ITU Telecommunication Standardization Bureau at the ITU Plenipotentiary Conference 2014 in Busan, Republic of Korea, and re-elected to this post for a second four-year term at the ITU Plenipotentiary Conference 2018 in Dubai, United Arab Emirates.
Dr Lee has contributed ICT standardization for over 30 years, specializing in areas such as integrated services digital networks (ISDN), global information infrastructure (GII), Internet protocol, next-generation networks (NGN), Internet protocol television (IPTV) and cloud computing.
He started his professional life in 1986 as a researcher at Korea Telecom. After 17 years he took up a role at the country's Electronics and Telecommunications Research Institute (ETRI), where he stayed for the next eight years.
Most recently he worked at the Korea Advanced Institute of Science and Technology (KAIST), and as a senior advisor to Korea's Ministry of Science, ICT and Future Planning (MSIP).
Chaesub Lee was elected Director of the ITU Telecommunication Standardization Bureau at the ITU Plenipotentiary Conference 2014 in Busan, Republic of Korea, and re-elected to this post for a second four-year term at the ITU Plenipotentiary Conference 2018 in Dubai, United Arab Emirates.
Dr Lee has contributed ICT standardization for over 30 years, specializing in areas such as integrated services digital networks (ISDN), global information infrastructure (GII), Internet protocol, next-generation networks (NGN), Internet protocol television (IPTV) and cloud computing.
He started his professional life in 1986 as a researcher at Korea Telecom. After 17 years he took up a role at the country's Electronics and Telecommunications Research Institute (ETRI), where he stayed for the next eight years.
Most recently he worked at the Korea Advanced Institute of Science and Technology (KAIST), and as a senior advisor to Korea's Ministry of Science, ICT and Future Planning (MSIP).
As the Chief Innovator and co-founder of PRASU, with 26 years of experience, and more than 20 national & international patents in various stages Dr Koushik advises major companies such as Bosch, Continental, General Motors, Mercedes Benz, Volvo etc. on Innovation strategy, developing Innovation culture, scaling business relevant Innovation for business growth. Koushik works with Start-ups and Incubation centres and accelerators in and connects Industry and Start-ups. Koushik is a keynote and TEDx speaker, also links academia and Industry through workshops and technical talks on Innovation. Koushik has also developed a syllabus for academia in Innovation & Intrapreneurship. Koushik also is an international speaker and visiting faculty.
As the Chief Innovator and co-founder of PRASU, with 26 years of experience, and more than 20 national & international patents in various stages Dr Koushik advises major companies such as Bosch, Continental, General Motors, Mercedes Benz, Volvo etc. on Innovation strategy, developing Innovation culture, scaling business relevant Innovation for business growth. Koushik works with Start-ups and Incubation centres and accelerators in and connects Industry and Start-ups. Koushik is a keynote and TEDx speaker, also links academia and Industry through workshops and technical talks on Innovation. Koushik has also developed a syllabus for academia in Innovation & Intrapreneurship. Koushik also is an international speaker and visiting faculty.
Schedule
- Monday 21st September 2020 (Day 1) Monday 21st September 2020 (Day 1) (Easter Daylight Saving time zone) Master of Ceremony: Ms. Barbara Porter
- Tuesday 22nd September 2020 (Day 2) Tuesday 22nd September 2020 (Day 2) (British time zone) Master of Ceremony: Mr Robert Bierwolf
- Wednesday 23rd September 2020 (Day 3) Wednesday 23rd September 2020 (Day 3) (India time zone) Master of Ceremony: Ms Toshie Takahashi
- Virtual Event lobby
- Virtual Room 1
- Virtual Room 2
- Virtual Room 3
Event link: bit.ly/ai4g_day1
Event link: bit.ly/ai4g_day1
– Dr. Richard Evans
Associate Professor, Brunel University London, UK
– Mr. Andy Chen
President, IEEE Technology and Engineering Management Society
– Mr. Chaesub Lee
Director of the ITU Telecommunication Standardization Bureau
Title: Planet Reset Post 2020–what will the world be like? The role of Innovation & Leadership Trends and “AI for Good” Globally – accelerating the world
Event link: bit.ly/ai4g_day1
Speaker Bio:
Stephen Ibaraki, Chairman and Founding Managing General Partner REDDS Capital, Founder ITU ACM XPRIZE AI for Good Global Summit, Founding Chairman Technology Advisory Council FinTech Ideas Festival. Globally unique with Chairman, Founder, Board roles in: Business/finance, successful Entrepreneurship, no.1 global Science orgs, UN innovation progs, top Industry-orgs/think tanks, no.1 Summits (acronym BE-SUNIS). 300+ global engagements impacting $100+ Trillion in sustainable investments. Stephen Ibaraki’s philanthropic focus is on donating time/resources for advancing research, innovation, start-ups, science, entrepreneurship, the UN Sustainable Development Goals and ITU World Summit on the Information Society Action Lines. With over 200 senior executive roles, global awards and recognitions, Stephen Ibaraki is a multiple award winning educator, researcher, speaker, writer, serial entrepreneur, venture capitalist, investor, and executive board chairman since the 1970s’ and first working with technology since 1965. Stephen Ibaraki is awarded for outstanding lifetime achievements as an ICT nominated Fellow, Distinguished Fellow, Global Fellow, Global Hall of Fame, IT Leadership Lifetime Achievement Award, Advanced Technology Lifetime Achievement Award, Awards for Professionalism Career Achievement Award, IT Hero Award, Gary Hadford Award, Writing and Teaching awards, 17 Microsoft awards (Global Gold Awards, Most Valuable Professional 2006-present), …
CIPS Fellows Profile: http://www.cips.ca/stephen-ibaraki
Twitter handle: Sibaraki
LinkedIn:
http://ca.linkedin.com/in/sibaraki
IT World Canada (IDG):
http://www.itworldcanada.com/author/sibaraki
Forbes: https://www.forbes.com/sites/cognitiveworld/people/stephenibaraki/#5af592cb71ae
——–
Specialties: Executive Leadership, Business Planning, Strategic Planning, Business Development, Strategic Relations, Due Diligence, Investments, Speaking, Writing
| Session 1: Responsible and Ethical Approaches to AI Virtual Room 1 | Session 2: Managing and Implementing AI Projects Virtual Room 2 | Session 3: Technology Advancements in AI Virtual Room 3 |
Title: On the use of AI in Commercial Property
Event link: bit.ly/ai4g_day1
Abstract :
– Comments on Artificial Intelligence: goals, expectations, reality.
– Deep Learning and Machine Learning: overview of techniques.
– Applications in Commercial Property modelling.
– Understanding the models. Can they be trusted? How?
– Other AI examples (& how to gain confidence, with caveats).
Time: 11:40-13:10 (EDT)
Session Chair: Tariq Samad
Event link: bit.ly/ai4g_day1
| Paper# | Title |
| 1570637288 | Misinformation in Crises: A Conceptual Framework for Examining Human-Machine Interactions |
| 1570631580 | Seeking Nonhuman Advice: Ancient and Modern |
| 1570637157 | eVision: Influenza Forecasting Using CDC, WHO, and Google Trends Data |
| 1570636174 | Analysis of Soft Law Mechanisms for the Governance of AI |
| 1570657630 | A Novel Application for the Efficient and Accessible Diagnosis of ADHD Using Machine Learning |
Time: 11:40-13:10 (EDT)
Session Chair: Gustavo G
Room: Virtual Room 2
Event link: bit.ly/ai4g_day1_session2
| Paper# | Title |
| 1570635854 | Theory of Machine Learning Based in Quantum Mechanics |
| 1570631625 | A Review of Artificial Intelligence Applications to Achieve Water-related SDGs |
| 1570635856 | A Full Surveillance Internet of Bio-Nano-Things Based on Feynman-Integral and Machine-Learning |
| 1570635861 | The Kullback-Leibler Divergence and QBER in Quantum Encryption Using the BB84 Protocol |
| 1570656909 | Using Artificial Intelligence to Guide SME Social Media Marketing Strategy |
Session Chair: Dr. Eduardo Ahumada Tello
Time: 11:40-13:10 (EDT)
Room: Virtual Room 3
Event link: bit.ly/ai4g_day1_session_3
| Paper# | Title |
| 1570635863 | Probabilistic Interpretation of Cognitive Radio in Entropy Nonlinear Networks with Quantum Mechanics |
| 1570649819 | SSM-Net for Plants Disease Identification in Low Data Regime |
| 1570654317 | Optimizing Networked Rural Electrification Design Using Adaptive Multiplier-Accelerated a* Algorithm |
| 1570656233 | Edge-Cloud Collaboration Architecture for AI Transformation of SME Manufacturing Enterprises |
| 1570656888 | Transforming Digital Employee Experience with Artificial Intelligence |
- Virtual Event lobby
- Virtual Room 1
- Virtual Room 2
- Virtual Room 3
Event link: bit.ly/ai4g_day2
Event link: bit.ly/ai4g_day2
Abstract:
Manufacturing is fast moving towards smart factories adopting Industry 4 technologies.
AI/automation is one of the 4 grand challenges stated in the UK Industrial Strategy White Paper
(2017). It was reported that AI and automation could increase industrial efficiency by up to 30% and
mitigate disruptions (‘The Future of Manufacturing’, The Telegraph, 2018). Robots, simulation and
digital twins could keep production operating and remotely controlled when employees are ill or not
able to be on-site during disasters like Covid-19. In this presentation, Prof Gao will present data to
show the trends, opportunities and challenges of smart factories, focusing on the application of AI,
robotic automation and information/knowledge management in high value manufacturing industry.
He will also introduce some research and innovation projects carried out by his Group with industry.
Prof Gao will discuss with delegates the future implementations of Industry 4 technologies, through
the introduction of a proposed large-scale collaborative project ‘Smart-Factory’, which focuses on
the manufacturing of low volume, high value and/or specialised products. Manufacturing of these
high-end products still very much relies on manual operations which are the main causes of high
cost, low productivity and obstacles to digitisation. The overall objective of the Smart-Factory
project is to develop, implement and test advanced digital, robot, Internet of Things (IoT) and AI
technologies to automate current manual processes, in order to increase efficiency, productivity,
high value knowledge-intensive jobs, improve competitiveness, safe operations and resilience in
times of disruptions. Comments and recommendations from the delegates will be discussed for
future research, development and industrial applications.
Speaker Bio:
James Gao holds the Medway Chair of Manufacturing Engineering at the University of Greenwich
(UK). He is currently the director of research (School of Engineering) and leads the Mechanical,
Manufacturing and Management research group. Prior to his current position, he was a
lecturer/senior lecturer at Cranfield University (1993-2006), and a research fellow at Loughborough
University (1989-1993). He obtained BSc in mechanical engineering from Dalian Institute of
Technology in 1984, MSc and PhD from the University of Manchester Institute of Science and
Technology (UMIST) in 1987 and 1989 respectively. He published over 250 papers in international
journals and conferences, and directed a large number of research and innovation projects in
automation, AI and robots in smart manufacturing, information and knowledge management, digital
manufacturing and product life-cycle management. Prof Gao chaired/co-chaired several international
conferences and is an associate editor/member of the editorial boards of several international
journals.
| Session 4: AI for sustainable development Virtual Room 1 | Session 5: Managing and Implementing AI Projects Virtual Room 2 | Session 6: Ethically-driven robotics and automation Virtual Room 3 |
Dr. Marina Dabić
Professor, Nottingham Trent University, UKEvent link: bit.ly/ai4g_day2
Speaker Bio:
Marina Dabić is Full Professor at University of Zagreb, Faculty of Economics and Business, Croatia, and Nottingham Business School, NTU, U.K. In her career, she has achieved success and acclaim in a range of different projects, such as HORIZON 2020, ERASMUS +, etc., and was a grant holder for EC TEMPUS FoSentHE project. She prepared background report for OECD/EC HEinnovate for Croatia. Professor Dabic is member of the Board of Governors for IEEE-TEM. She is the author or co-editor of seven books, and has authored or co-authored over 200 journal manuscripts published in IEEE-TEM; TFSC, JIBS, JBR, JWB, IMR, IBR, among others. Prof Dabić attended more than 300 conferences and be in the program comity for more than fifty. She is an Associate Editor of the Technological Forecasting and Social Change, and Technology in Society. She is Department Editor for IEEE- Transactions on Engineering Management.
Session Chair: Dr. Marina Dabic
Time: 10:00-11:30 (BST)
Room: Virtual Room 1Event link: bit.ly/ai4g_day2
| Paper# | Title |
| 1570634682 | Artificial Intelligence in Manufacturing: A Bibliometric and Content Analysis |
| 1570637201 | A Conceptual Framework for AI System Development and Sustainable Social Equality |
| 1570632314 | Digital Crop Health Monitoring by Analyzing Social Media Streams |
| 1570637298 | IMPACT: A Strategic Partnership for Sustainable Development in Marine Systems and Robotics |
Session Chair: Robert Bierwolf
Time: 10:00-11:30 (BST)
Room: Virtual Room 2
Event link: bit.ly/ai4g_day2_session_5
| Paper# | Title |
| 1570637277 | Reducing Modern Slavery Using AI and Blockchain |
| 1570633081 | Innovative Multi-Step Anomaly Detection Algorithm with Real-World Implementation |
| 1570631619 | Artificial Intelligence Driven Crop Protection Optimization for Sustainable Agriculture |
| 1570637225 | Proposal for a Chatbot Prototype in the Plant Health Department of Brazilian Ministry of Agriculture |
Session Chair: Dr Abhishek Appaji
Time: 10:00-11:30 (BST)
Room: Virtual Room 3
Event link: bit.ly/ai4g_day2_session_6
| Paper# | Title |
| 1570632503 | AI and Robotics-Based Cognitive Training for Elderly: A Systematic Review |
| 1570632110 | Artificial Intelligence is Transforming the World Development Indicators |
| 1570630800 | The Strategic Approach for Successful Realistic Improvements in Practical Vehicle Routing Algorithms |
| 1570635863 | Probabilistic Interpretation of Cognitive Radio in Entropy Nonlinear Networks with Quantum Mechanics |
- Virtual Event lobby
- Virtual Room 1
- Virtual Room 2
- Virtual Room 3
Event link: bit.ly/ai4g_day3
– Dr Sudeendra Koushik
Member, Automotive & Mobility Innovations, Innovation
Event link: bit.ly/ai4g_day3
Mr. Neil Sahota
Chief Innovation Officer, University of California, USA
| Session 7: Technology Advancements in AI Virtual Room 1 | Session 8: AI for Sustainable Development Virtual Room 2 | Session 9: Social Inclusion and AI Virtual Room 3 |
Event link: bit.ly/ai4g_day3
Session Chair: Prof. Toshie Takahashi
Time: 15:00-16:30 (IST)
Room: Virtual Room 1Event link: bit.ly/ai4g_day3
| Paper# | Title |
| 1570656747 | A Tiny CNN Architecture for Identifying Bat Species from Echolocation Calls |
| 1570637223 | EdgeAI: Diabetic Retinopathy Detection in Intel Architecture |
| 1570632532 | Maximising Value of Frugal Soil Moisture Sensors for Precision Agriculture Applications |
| 1570631340 | Combating Deepfakes: Multi-LSTM and Blockchain as Proof of Authenticity for Digital Media |
1570657630 | A Novel Application for the Efficient and Accessible Diagnosis of ADHD Using Machine Learning |
Session Chair: Dr. Shrikanth Tangade
Time: 15:00-16:30 (IST)
Room: Virtual Room 2Event link: bit.ly/ai4g_day3_session_8
| Paper# | Title |
| 1570632427 | AI for Monitoring the SDGs and Supporting and Promoting Action and Policy Development |
| 1570632497 | Effective, Explainable and Ethical: Artificial Intelligence for Law Enforcement and Community |
| 1570655221 | Safety An Ecosystem Approach to Ethical AI and Data Use: Experimental Reflections |
| 1570656329 | Mapping New Informal Settlements Using Machine Learning and Time Series Satellite Images |
Session Chair: Dr KAR Rao
Time: 15:00-16:30 (IST)
Room: Virtual Room 3Event link: bit.ly/ai4g_day3_session_9
| Paper# | Title |
| 1570656361 | AI-Vision Towards an Improved Social Inclusion |
| 1570656484 | Building Ethical AI from News Articles |
| 1570656713 | DASSL: Dynamic, AI-Assisted, Scalable System for Labelling Used Bottle Images |
| 1570656725 | Towards an Audio-Based CNN for Classroom Observation on a Smartwatch |
| 1570658169 | Automatic Identification of Skin Lesions Using Deep Learning Techniques |
Welcome note from the organizing committee
Welcome from Program Chair
On behalf of the organizing committee, it is my pleasure to welcome you to the 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G), held virtually from 21 – 23 September 2020.
This year, the conference brings together international researchers, academics and practitioners to exchange views, share ideas and explore future research themes in order to meet current challenges and promote positive social change in relation to the use of AI for Good. The conference provides the opportunity to present and discuss the findings of current research relating to intelligent computing technologies – and how they can be employed to deliver positive, ethical and scalable outcomes for society at large.
I wish to thank all authors, reviewers, and session chairs for their continued efforts in making this virtual conference a success.
Welcome from Chaesub Lee, Director of the ITU Telecommunication Standardization Bureau
It is my great pleasure to highlight ITU’s support for this conference and express our appreciation to all contributors to its success. I would like to thank all of our authors, reviewers and session chairs for building such an engaging conference as well as ITU’s longstanding partner IEEE for our continued work together to expand our highly productive relationship.
Breakthrough after breakthrough, confidence in AI continues to grow. But alongside recent breakthroughs, this confidence is also inspired by the new partnerships we see forming to achieve ‘AI for Good’. AI is bringing us closer together. Government, industry, academia and civil society are working together to ensure that AI fulfills its potential to improve quality of life worldwide.
The United Nations Sustainable Development Goals provide the guiding light to this innovation.
AI and machine learning are finding very practical applications across industry sectors, applications with considerable potential to act as a force for good. Experts from different fields of expertise are coming together to align incentives for innovation and solve problems with AI. We see connections forming among AI specialists, AI users, data owners and experts in domains to benefit from AI applications – domains where AI could make key contributions to sustainable development.
The insight shared by this IEEE / ITU International Conference on AI for Good will contribute to the growing strength of these connections, highlighting yet more opportunities for new partners to achieve ‘AI for Good’ on a global scale.
Welcome from the President of IEEE Technology and Engineering Management Society
President IEEE TEMS
Welcome to the IEEE / ITU AI4G conference.
This event will break many grounds for IEEE TEMS. This is the first time in TEMS’ nearly 70 year history that we are collaborating with a United Nation’s agency; the first time that we dedicated a conference to artificial intelligence technology management; the first time that our research papers really emphasized the UN’s Sustainable Development Goals (SDGs) and this was also the first time that we solicited quality grassroots research studies by leveraging the network of our organizing committee members.
We are delighted to report that we have reviewed and accepted 50% more research papers than we had originally planned.
I wish to thank the amazing line-up of keynote speakers for taking the time to share their invaluable thoughts and insights. I would also like to acknowledge the exceptional work of our conference team:
- Dr. Richard Evans (Program Chair)
- Dr. Bill Marshall (Treasurer)
- Geoff Simmons, Esraa Ghourab (Publication Co-chair)
- Ravikiran Annswary, Vishwas Jois, Mohamed Aboud (Publicity Co-chair)
- Ana Maria Meshkurti (Local Logistics Chair)
- Tugtul Daim, Marina Dabic, Alessia Magliarditi, Brendan Galbraith,
- Alaa Khamis, Munkhjargal Gochoo (Technical Program Committee)
Another big thanks goes to Aisha Nazia Nasir Mayin and Vishwas Jois who lead a team of volunteers to provide technical support around the clock. Special thanks go to Sudeendra Koushik, VP of Conference and Robert Bierwolf, past VP of Conference for their leadership. Finally, I would like to acknowledge the support and generosity of our partner, the International Telecommunication Union (ITU).
TEMS is a one-of-a-kind IEEE Society because it has diverse membership across all sectors. We are a society that covers different areas of research and innovation needs for large, medium and small enterprises. In TEMS, we focus on People. Collectively, our motto is “Leaders enabling products and services for good”. If you are not already a TEMS member, I would encourage you to check out our website ieee-tems.org to learn more about the value and benefits of joining our global community.