The following is a guest post from CIFellow Richard Canevez. Canevez began his CIFellowship in 2020 after reciving his PhD from Pennsylvania State University. He is currently at the University of Hawaii at Manoa where he is mentored by Jenifer Sunrise Winter. When Computing Community Consortium (CCC) approached me to put together a blog post about the evolution of my research, I was excited for the opportunity, but also apprehensive about the topic. This is, on the one hand, writing about the research funded by CCC through the CIFellows program that I hope will serve as more than a mere status report and instead provide thoughts and guidance for future […]

CIFellow, Alexis E. Block began her CIFellowship at the University of California, Los Angeles in September 2021. Block is mentored by Veronica J. Santos, Director of the UCLA Biomechatronics Laboratory, Professor of Mechanical Engineering and the school’s Associate Dean for Equity, Diversity and Inclusion (EDI) and Faculty Affairs. Prior to beginning her CIFellowship, she received her Dr. sc. from ETH Zurich where she was a part of a joint program called the Max Planck ETH Center for Learning Systems. Block recently won the Otto Hahn Medal from Germany’s Max Planck Society for her dissertation work in human-robot interaction and the development of the “HuggieBot” which you can read about here. […]

Soheil Salehi began his CIFellowship in September 2020 after receiving her PhD from University of Central Florida in May 2020. Soheil is at University of California Davis working with Houman Homayoun, Associate Professor of Electrical and Computer Engineering at University of California Davis.  The remainder of this post is written by Soheil Salehi Current Project My research focus is on applications of AI in secure Internet of Things (IoT) sensing and computing hardware. Currently, I am leading several projects on the topic of AI-enabled security for the IoT supply chain, which takes on a ground-up approach to ensure the reliability, security, and energy efficiency of the IoT hardware. Within this […]

Minka Stoyanova began her CIFellowship in January 2021 after receiving her PhD from City University of Hong Kong in October 2019. Stoyanova is at University of Colorado Boulder working with Reece Auguiste, Associate Professor of Media, Communication and Information at UC Boulder.  Current Project My current research project is focused on how digital information technologies can be used to create embodied and affective experiences in urban environments. Specifically, the project is aimed at using mobile phone augmented reality technology and digital storytelling methods to situate historic and community narratives within urban environments. Historic material held in museums and archives often becomes detached from the communities and the locations it represents. […]

Rika Antonova began her CIFellowship in January 2021 after receiving her PhD from KTH Royal Institute of Technology in Stockholm in December 2020. Antonova is at Stanford University working with Jeannette Bohg, Assistant Professor of Robotics at Stanford.  Current Project Machine learning is transforming robotics: we can now solve high-dimensional problems that have been intractable before, if given large amounts of data and ample training time. However, to go beyond structured factory settings, it is important for robots to adapt to changes in the environment/task without lengthy re-training and data collection. A related problem is closing the simulation-to-reality gap: adapting to the real world after training in simulation. My goal […]

Biresh Kumar Joardar began his CIFellowship in September 2020 after receiving his PhD from Washington State University in Summer of 2020. Joardar is at Duke University working with Krishnendu Chakrabarty, Distinguished Professor and Chair in the Department of Electrical and Computer Engineering.  Current Project The theme of my current project is “Machine Learning for Machine Learning”. The project aims to demonstrate the symbiotic relationship between machine learning (ML) algorithms and computer system design. In this new paradigm, hardware researchers benefit from new data-driven ML algorithms and ML researchers benefit from efficient computing enabled by new hardware-software co-design. More specifically, I work on designing heterogeneous manycore and in-memory computing architectures with […]