Dr. Elizabeth Mynatt
Dr. Elizabeth Mynatt.    
Keynote title: From Everyday Computing to Computing for Everyone

Abstract: In 1998 I created the Everyday Computing Lab at Georgia Tech following formative years as a ubiquitous computing researcher at Xerox PARC. The founding charter of the Everyday Computing Lab was to understand the transformation of everyday life as computing was ubiquitously integrated into informal, daily activities and routines. In parallel we worked to design human-centered computing experiences that augmented, amplified, and empowered people across many home, health, and work settings. Two decades later we have provoked and witnessed this transformation. Key contributions center on understanding and amplifying how people negotiate their health journeys, create networks of care, and balance autonomy, risk, and independence.

While this positive framing served this research agenda well, we noticed troubling patterns in the accessibility and influence of computing in everyday life. Pervasive, easy to access computing wasn’t always beneficial. Common design techniques did not equitably benefit everyone. Data-centered approaches left blind spots and introduced biases. While the potential of computing appeared to be boundless, the reality was unevenly distributed benefits. Moreover, the rush to modernize, automate, and network almost every facet of everyday life threatened to accelerate new “digital divides”.

In this talk I reflect on the lessons, both positive and negative, learned during our journey to understand the transformation of everyday life amidst the increasing pervasiveness of computing. I then sketch a revised agenda that foregrounds how computing innovation should be shaped by the goal of computing for everyone; arguing that our field is at a crossroads, and we must focus innovation, up and down the stack, on resource-constrained challenges that aim for equitable societal benefits. When we do so, both the inventiveness and impact of our collective work exceed our visions for computing ubiquitously woven into everyday life.
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Dr. Yang Cai
Dr. Yang Cai.    
Keynote title: Primitive Learning

Abstract: Natural selection has produced instinctive behaviors through the slow and gradual accumulation of numerous slight, yet advantageous variations. The result is automation, a behavior that is second nature. This is called the Baldwin Effect. This principle can be applied to both humans and machines. In order to enable a machine to learn as efficiently as a human or animal, we need to understand primitive learning processes within humans, animals, and even insects. In this presentation, we explore primitive learning behaviors, including perceptual adaptive learning, peak-shift, lateral learning, learn-by-tapping, and indirect learning from virtual experiences, such as playing or gaming.
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Professor Maryline Chetto
Professor Maryline Chetto.    
Keynote title: Challenges in power management and real-time scheduling for the design of sustainable wireless devices

Abstract: Modern electronics are essential for environmental monitoring, healthcare/biomedical monitoring, communication, etc. They offer a wide range of opportunities to move our society towards a smart world thanks to sensing capabilities. However, continued progress in these small electronic devices still face several critical challenges. Their operations typically require external ambient energy sources since power supply through traditionnal batteries suffers from limited capacity and lifetime. Energy harvesting is a green technology that collects the ambient energy available for free in the application environment. It may authorize standalone sensors to function continuously for decades, with no power-line connections and battery replacements.

However, many technical issues have to be addressed in order to make an energy harvesting system work effectively. Conventional power management methods and scheduling algorithms fail to execute timely the hard deadline tasks. They accommodate no fluctuations in power supply, no uncertainty of energy availability and therefore no intermittent computing. Task scheduling should take into account not only the timing parameters of the deadline constrained tasks such as worst-case execution times but also energy consumptions, profile of the energy source and capacity of the energy storage unit. This keynote addresses the main advances as well as our findings in real-time scheduling and processor activity management for new generation of sustainable wireless devices.
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Dr. Yang Cai.

Abstract: Natural selection has produced instinctive behaviors through the slow and gradual accumulation of numerous slight, yet advantageous variations. The result is automation, a behavior that is second nature. This is called the Baldwin Effect. This principle can be applied to both humans and machines. In order to enable a machine to learn as efficiently as a human or animal, we need to understand primitive learning processes within humans, animals, and even insects. In this presentation, we explore primitive learning behaviors, including perceptual adaptive learning, peak-shift, lateral learning, learn-by-tapping, and indirect learning from virtual experiences, such as playing or gaming.
Dr. Yang Cai

Bio: Yang Cai, Ph.D., is the author of the monograph “Instinctive Computing” (Springer-London, 2017) and the textbook “Ambient Diagnostics” (CRC/Taylor and Francis, 2014). His research explores the frontier of artificial intelligence (AI) and augmented reality (AR), including Natural Intelligence and Extended Reality. He is the Head of Visual Intelligence Studio and Senior Research Scientist at Qualcomm Institute, University of California, San Diego. https://qi.ucsd.edu/about/leadership/yang-cai/

Professor Maryline Chetto.

Abstract: Modern electronics are essential for environmental monitoring, healthcare/biomedical monitoring, communication, etc. They offer a wide range of opportunities to move our society towards a smart world thanks to sensing capabilities. However, continued progress in these small electronic devices still face several critical challenges. Their operations typically require external ambient energy sources since power supply through traditionnal batteries suffers from limited capacity and lifetime. Energy harvesting is a green technology that collects the ambient energy available for free in the application environment. It may authorize standalone sensors to function continuously for decades, with no power-line connections and battery replacements.

However, many technical issues have to be addressed in order to make an energy harvesting system work effectively. Conventional power management methods and scheduling algorithms fail to execute timely the hard deadline tasks. They accommodate no fluctuations in power supply, no uncertainty of energy availability and therefore no intermittent computing. Task scheduling should take into account not only the timing parameters of the deadline constrained tasks such as worst-case execution times but also energy consumptions, profile of the energy source and capacity of the energy storage unit. This keynote addresses the main advances as well as our findings in real-time scheduling and processor activity management for new generation of sustainable wireless devices.
Dr. Maryline Chetto

Bio: Maryline Chetto is currently a full professor in computer engineering with Nantes Université, France and researcher with CNRS. She received the degree of Docteur de 3ème cycle in control engineering and the degree of Habilitée à Diriger des Recherches in Computer Science from the University of Nantes, France, in 1984 and 1993, respectively. From 1984 to 1985, she held the position of Assistant professor of Computer Science at the University of Rennes, while her research was with the Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Rennes. In 1986, she returned to Nantes and has been from 2002 a full professor with the University of Nantes. She is conducting her research at Laboratoire des Sciences du Numérique de Nantes (LS2N, UMR CNRS n° 6004) in the Real Time System group.

Her research has been focused on development and formal validation of solutions regarding Scheduling, Fault-tolerance and Dynamic Power Management in real time embedded applications. Her current research is specifically targeting real-time scheduling issues in energy neutral devices. She has more than 150 papers published in international journals and conferences. She was the editor of the books Real-time Systems Scheduling (Elsevier, 2014) with volume 1 Fundamentals and Volume 2 Focusses. She was the co-author of the book Energy Autonomy of real-time systems (Elsevier, 2016). She has been general co-chair of the 2020 IEEE International Conference on Green Computing and Communications (GreenCom-2020). Since 2011, she was elected member of the French National Council for Universities.

Dr. Elizabeth Mynatt

Abstract: In 1998 I created the Everyday Computing Lab at Georgia Tech following formative years as a ubiquitous computing researcher at Xerox PARC. The founding charter of the Everyday Computing Lab was to understand the transformation of everyday life as computing was ubiquitously integrated into informal, daily activities and routines. In parallel we worked to design human-centered computing experiences that augmented, amplified, and empowered people across many home, health, and work settings. Two decades later we have provoked and witnessed this transformation. Key contributions center on understanding and amplifying how people negotiate their health journeys, create networks of care, and balance autonomy, risk, and independence.

While this positive framing served this research agenda well, we noticed troubling patterns in the accessibility and influence of computing in everyday life. Pervasive, easy to access computing wasn’t always beneficial. Common design techniques did not equitably benefit everyone. Data-centered approaches left blind spots and introduced biases. While the potential of computing appeared to be boundless, the reality was unevenly distributed benefits. Moreover, the rush to modernize, automate, and network almost every facet of everyday life threatened to accelerate new “digital divides”.

In this talk I reflect on the lessons, both positive and negative, learned during our journey to understand the transformation of everyday life amidst the increasing pervasiveness of computing. I then sketch a revised agenda that foregrounds how computing innovation should be shaped by the goal of computing for everyone; arguing that our field is at a crossroads, and we must focus innovation, up and down the stack, on resource-constrained challenges that aim for equitable societal benefits. When we do so, both the inventiveness and impact of our collective work exceed our visions for computing ubiquitously woven into everyday life.
Dr. Elizabeth Mynatt

Bio: In January 2022, Elizabeth Mynatt joined Northeastern University as the Dean of the Khoury College of Computer Sciences following a 23-year career at the Georgia Institute of Technology where she most recently served as Regents’ Professor in the College of Computing and executive director of the Institute of People and Technology.

Mynatt is co-principal investigator of the AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), funded by the US National Science Foundation. The AI-CARING mission is to develop the next generation of personalized collaborative AI systems and services that improve the quality of life and independence of aging adults living at home.

In her past research, Mynatt has investigated the design and evaluation of health information technologies including creating personalized mobile technology for supporting breast cancer patients during their cancer journey, and investigating the positive and negative influence of social media on adolescent behavior. She was also one of the principal researchers in the Georgia Tech Aware Home Research Initiative; investigating the design of future home technologies, especially those that enable older adults to continue living independently as opposed to moving to an institutional care setting.

Mynatt has been recognized as a member of the SIGCHI Academy, and as an AAAS, Sloan and Kavli research fellow. She has published more than 100 scientific papers, led grants from the NSF and NIH, and chaired the premier international conference in human-computer interaction. In 2015 she became a Fellow of the Association of Computing Machinery (ACM) for contributions to human-centered computing and the development of health information technologies.