CS and IEOR Prof. Ken Goldberg and his lab at BAIR have won multiple best paper awards this year. “Autonomously Untangling Long Cables” won the Best Systems Paper at the Robotics: Science and Systems (RSS) conference in June 2022. “Automated Pruning of Polyculture Plants” won Best Paper at the IEEE Conference on Automation Science and Engineering (CASE) in August 2022. At this year’s IEEE International Conference on Intelligent Robots and Systems (IROS), held in October, the paper titled, “Speedfolding: Learning Efficient Bimanual Folding of Garments” took the top spot out of 3500 submissions to win the IROS Best Paper Award. The common thread among these results is the application of advances in deep learning to solve robot manipulation problems. “I feel lucky every day that I get to work in this uniquely stimulating environment with the world's most brilliant, creative, and dedicated students, staff, and faculty," said Goldberg.

CS Prof. Joe Hellerstein has won the IEEE VIS Test of Time Award for a paper he co-wrote with Sean Kandel, Andreas Paepcke, and Jeffrey Heer in 2012 titled, “Enterprise Data Analysis and Visualization: An Interview Study.” The paper considered how visual analytics are used within organizations and provided an accessible framework for the abstraction of high-level tasks and user archetypes. “Before this work we struggled to find the vocabulary to use, now we have framings that are easy to remember and conceptualise the space nicely,” said the award committee. "The paper has received an impressive quantity of citations and patent citations, is still relevant today, and continues to be cited frequently." The IEEE VIS Test of Time Award recognizes articles published at previous conferences whose contents are still vibrant and useful today and have had a major impact and influence within and beyond the visualization community.  

A research team led by EE Prof. Boubacar Kanté has created a new type of semiconductor laser, accomplishing an elusive goal in the field of optics: the ability to emit a single mode of light while maintaining the ability to scale up in size and power. The team showed that a structured semiconductor device implementing what they call an “open-Dirac potential” functions as a perfect, scalable laser cavity. They demonstrate that the laser emits a consistent, single wavelength, regardless of the size of the cavity. “Increasing both size and power of a single-mode laser has been a challenge in optics since the first laser was built in 1960,” said Kanté. “Six decades later, we show that it is possible to achieve both these qualities in a laser. I consider this the most important paper my group has published to date.”

Edward Lee has won the Association for Computing Machinery (ACM) Special Interest Group on Embedded Systems (SIGBED) Technical Achievement Award. Prof. Lee is the inaugural recipient of the lifetime achievement award, and was honored “for foundational contributions on modeling and design of embedded, real-time, and cyber-physical systems.” Created in 2022, the Technical Achievement Award is designed “to recognize significant and sustained contributions to research and/or system implementations made by the awardee through the lifetime." Prof. Lee also received an honorary doctorate from the Vienna University of Technology (TU Wien) in May.

Roxana Infante is the recipient of the 2022 EECS/ERSO Wil Zeilinger Staff Excellence Award. Established in 1992 in honor of Wil Zeilinger, Cory Hall’s first department engineer, the Zeilinger Award is the most prestigious staff honor in the EECS department and is presented annually to the staff member who best embodies "a spirit of service cheerfully given for the general good." Over the course of Roxana’s 12-year career at UC Berkeley, she has provided outstanding service to many 5-year research labs, including the ParLab, BerkeleyDrive, and the Berkeley Artificial Intelligence Research Lab (BAIR). According to one nominator, “She truly is one of the kindest, most cheerful, and thoughtful people I’ve ever met, let alone had the pleasure of working with.”

EECS Assistant Prof. Sophia Shao is among the 15 recipients of the Intel Rising Star Award this year. Awarded annually, the Intel Rising Star Award (RSA) program supports early-career faculty whose research is groundbreaking and demonstrates the potential to disrupt industries. Recipients are chosen for “innovative teaching methods and for increasing the participation of women and underrepresented minorities in computer science and engineering.” Prof. Shao’s research focuses on improving the scalability, efficiency, and programmability of heterogeneous platforms from edge devices to data centers. In collaboration with senior technical leaders at Intel, Prof. Shao plans to explore the intersection of architectural prototyping, algorithm development, and programming support for heterogeneous accelerators: “As we enter the golden age of computer architecture, there are tremendous opportunities to innovate across the stack in the hardware community. I'm excited to work with our students, faculty members, and industry collaborators to build novel systems together!" said Shao. 

CS Prof. Raluca Ada Popa was interviewed as a Featured ACM Member as part of the "People of ACM" bulletin. As the Co-Director of RISELab and SkyLab, two labs aiming to build secure intelligent systems for the cloud and for the sky of cloud, she spoke about her research interests, which include security, systems, and applied cryptography. “I love both to build systems that can solve a real-world problem and to reason about deep mathematical concepts,” she said. Aiming to predict the direction of her research, she outlined her renewed focus on confidential computing, a major shift in the cloud computing landscape, which she said “will revolutionize data systems in industry in the coming years…[through] the combination of hardware security via hardware enclaves and cryptographic techniques. Many organizations have a lot of confidential data that they cannot share between different teams in their organization or different organizations. Sharing it would enable better medical studies, better fraud detection, increased business effectiveness, and other benefits.”

EECS and Statistics Prof. Michael I. Jordan has been named the inaugural winner of the World Laureates Association (WLA) Prize in Computer Science or Mathematics. Funded by Sequoia China and established in Shanghai in 2021, the WLA Prize aims to recognize and support eminent researchers and technologists worldwide for their contributions to science, with the overarching goal of supporting global science, advancing technology, addressing humanity’s challenges and promoting the long-term progress of society. The prize is accompanied by a monetary award of $1.4 million (RMB 10 million). Prof. Jordan was recognized “For fundamental contributions to the foundations of machine learning and its application." Prof. Jordan is the director of the Center for the Theoretical Foundations of Learning, Inference, Information, Intelligence, Mathematics and Microeconomics at Berkeley (CLIMB). He is a member of the National Academy of Sciences, National Academy of Engineering,  American Academy of Arts and Sciences, and a Foreign Member of the Royal Society. He is also a fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.

EECS Prof. Emerita Ruzena Bajcsy has been awarded the Slovak Medal of Honor. Bajcsy was recognized for her scientific achievements, leading by example, and setting a positive image of the Slovak Republic abroad. The medal was presented at the Consulate in New York by Slovak President Zuzana Čaputová. 

The Bakar Institute of Digital Materials for the Planet (BIDMaP), led by Chemistry Prof. Omar M. Yaghi, brings together CS Profs. Christian Borgs, Joseph Gonzalez, Jennifer Listgarten, Jennifer Chayes, and Kathy Yelick, along with faculty from the Department of Chemistry and Statistics, respectively, to affect climate change by combining machine learning and chemistry. The institute aims to develop a new field of machine learning for experimental science, creating algorithms and designing platforms to optimize the discovery, development, and deployment of technology. “This is what we need to accelerate discovery at a rate that will save us from the worst effects of climate change,” said Jennifer Chayes, EECS prof., associate provost for CDSS and dean of the School of Information. “BIDMaP will bring together the founder of an important new field in chemistry and the best artificial intelligence and machine learning group in the world to imagine and create a better future.”