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 […]

The CIFellows 2021 application site is now open. Applicants may start their applications here. Please read the CIFellows 2021 website and FAQs in its entirety before submitting. Applicants must submit the following for registration by midnight May 10th 2021 AoE (Anywhere on Earth): Title – title of proposed research project. If you are applying twice with the same project, please use the same title but follow it with A on the first application and B on the second. Application information – items will include diversity information; the PhD (university, advisor, date of defense); current professional information (university, current position, advisor); and CIFellowship information (Mentor name and email address, host institution, […]

Ibrahim Sabek began his CIFellowship in September 2020 after receiving his PhD from the University of Minnesota in January 2020. Sabek is at the Massachusetts Institute of Technology (MIT) working with Michael Cafarella, Principal Research Scientist, and Tim Kraska, Associate Professor, at MIT’s Computer Science and Artificial Intelligence Laboratory. Current Project My current project is exploiting machine learning models (ML) to optimize the performance of data-intensive systems, with special focus on data access and query execution modules. This includes introducing ML-optimized core data structures, such as indexes and bloom filters, and boosting the performance of main in-memory operations, such as joins and query scheduling, using statistical and deep learning techniques. […]

Cyn Liu began her CIFellowship in January 2021 after receiving her PhD from Indiana University, Bloomington in Fall of 2020. Liu is at the University of California, Irvine (UCI) working with Paul Dourish, Chancellor’s Professor of Informatics at UCI and Director of the Steckler Center for Responsible, Ethical and Accessible Technology. Current Project Responding to climate change, environmental crisis, and the global pandemic, my current research focuses on exploring, creating, deploying, and evaluating (multi-)sensory data representation models that leverage our bodily senses to raise environmental awareness, increase data literacy, and support community health initiatives. Over the past decade, the emergence of low-cost sensors, proliferation of personal devices, and expansion of wireless […]