To understand the expansive reach of computer science today, look no further than some of the recent research collaborations of Pierre Baldi, Distinguished Professor of Computer Science in the Donald Bren School of Information and Computer Sciences (ICS). He is working on multidisciplinary projects involving natural language processing, deep learning, chemoinformatics, and bioinformatics, partnering with faculty from the Departments of Physics & Astronomy, Mathematics, and Chemistry, and well as from the UCI Center for the Neurobiology of Learning and Memory (CNLM).

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According to a recent Bloomberg Law article, “the wet signature requirement, that a document be signed in-person and with ink, could see its demise as social distancing practices take hold across the globe in an effort to stop the spread of coronavirus.” The article notes how COVID-19 has “accelerated the already growing use and acceptance of electronic signatures to such an extent that wet signatures may soon become relics for attorneys.”

The increased use of electronic signatures, however, comes with risks, according to University of California, Irvine (UCI) Assistant Professor of Computer Science Ardalan Amiri Sani.

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Vikram Narayanan and Anton Burtsev, in collaboration with researchers from Penn State University, won the best paper award at ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE 2020).

ACM VEE is an annual, international research conference that brings together researchers and scientists from computer science in the area of virtualization, systems programming and programming languages. 2020 marked VEE’s 16th year.

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Computer Science Professors Marco Levorato and Stephan Mandt recently received a $450,000 award through a National Science Foundation and Intel partnership for Machine Learning for Wireless Networking Systems (MLWiNS). Their project, “Ultra-Reliable Collaborative Computing for Autonomous Unmanned Aerial Vehicles,” which will run through June 2023, aims to develop techniques to make distributed computing much more reliable in the context of UAV systems. As outlined in the project abstract, “the motion characteristics of UAVs exacerbate the instability and impairments of the wireless channel connecting them to the communication and computing infrastructure. As a result, traditional remote computing strategies may fail to provide the desired performance, especially due to the mission-critical nature of these systems.”

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Assistant Adjunct Professor of Computer Science Anton Burtsev recently received a $40,000 gift from VMware Research to support RedLeaf, a new operating system developed from scratch in Rust. This is a second gift from VMWare that supports development of RedLeaf, a project that is funded by NSF, VMWare and Intel. RedLeaf is a new operating system developed by Burtsev and his team at UCI. RedLeaf has been developed from scratch in Rust with the goal of exploring the impact of language safety on operating system organization.

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More than a decade ago, Distinguished Professor of Computer Science Gene Tsudik helped develop a technique for efficiently and securely verifying that a storage server is faithfully storing its client’s outsourced data. This Provable Data Possession (PDP) technique, which allowed for outsourcing of dynamic data, was developed in a paper, “Scalable and Efficient Provable Data Possession,” that Tsudik co-authored with Giuseppe Ateniese, Roberto Di Pietro and Luigi V. Mancini. This work was presented at the 4th International Conference on Security and Privacy in Communication Networks (SecureComm) in Istanbul, Turkey, in September 2008.

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The Donald Bren School of Information and Computer Sciences (ICS) has selected computer science Ph.D. student Neftali Watkinson Medina to receive the Latino Excellence and Achievement Award for graduate student excellence. Every spring, the Latino Excellence and Achievement Dinner (LEAD) brings together the campus community to highlight Latinx graduate student success and inspire others in the Latinx community to advance in graduate and postdoctoral programs. Due to the COVID-19 pandemic, LEAD will honor this year’s awardees virtually through a variety of platforms, including the LEAD 2020 webpage.

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