Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Posts Tagged ‘CIFellows

 

CIFellow Spotlight – SHIELD: Secure Hardware for IoT using Emerging-devices against side-channeL Deep-learning attacks

February 25th, 2022 / in CCC, CIFellows, CIFellows Spotlight, research horizons, Security, Uncategorized / by Maddy Hunter

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 […]

Announcing the 2021 Computing Innovation Fellows

July 22nd, 2021 / in Announcements, CCC, CIFellows, CRA, NSF, research horizons, Research News / by Helen Wright

This past spring, the Computing Research Association (CRA) and its Computing Community Consortium (CCC) announced funding for a cohort of Computing Innovation Fellows (CIFellows) for 2021, with strong support from the National Science Foundation (NSF). The program sponsors two-year postdoctoral research positions in computing, as well as career development and cohort building activities, to provide a career-enhancing bridge experience for recent Ph.D. graduates. The program aims to address the continued disruption in hiring practices at academic institutions due to COVID-19. This effort was inspired by the CRA/CCC’s NSF-funded Computing Innovation Fellows Programs with cohorts starting 2009, 2010, and 2011, CRA’s Best Practices Memo on Computer Science Postdocs, and the Computing […]

CIFellows Spotlight – Machine Learning for Machine Learning

May 3rd, 2021 / in AI, CCC, CIFellows, CIFellows Spotlight, CRA, research horizons / by Maddy Hunter

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 […]

CIFellows Spotlight – Machine Learning for Storage and Execution Layers of Database Systems

April 20th, 2021 / in CIFellows, CIFellows Spotlight, research horizons, Research News / by Maddy Hunter

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. […]

CIFellows Spotlight – From Data to Knowledge: Environmental Sensing and Data Narration

April 13th, 2021 / in CCC, CIFellows, CIFellows Spotlight, research horizons, Research News / by Maddy Hunter

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 […]

CIFellows Spotlight: Towards Fair and Interpretable Language Processing Models and their Applications

April 6th, 2021 / in CIFellows, CIFellows Spotlight, research horizons, Research News / by Maddy Hunter

Sunipa Dev began her CIFellowship in January 2021 after  receiving her PhD from University of Utah in Fall of 2020. Dev is at the University of California, Los Angeles  (UCLA) working with Kai-Wei Chang, Assistant Professor of Computer Science at UCLA. Dev recently co-presented a tutorial at AAAI 2021 which highlights using an interactive, visual tool, how language representations carry social biases and the ways in which we can mitigate the same. Details can be found here. She is also organizing a workshop on Responsible AI at KDD 2021. Current Project Language representations are ubiquitously used in language processing and generation tasks, which in turn are key in a variety of […]