CS Prof. Mike Jordan has been elected a Foreign Member of the Royal Society.  The Royal Society began as an "'invisible college' of natural philosophers and physicians," which opened its first meeting in 1660 with a lecture by acclaimed scientist Christopher Wren.  Their mission is "to recognise, promote, and support excellence in science and to encourage the development and use of science for the benefit of humanity."  Jordan joins an elite group of 8,000 Fellows elected over the past 400 years that includes Isaac Newton (1672), Charles Darwin (1839), Albert Einstein (1921), Stephen Hawking (1974), and EECS Prof. Eli Yablonovitch (2013). Fellows and Foreign members must be nominated by at least two Fellows of the Royal Society, and must have made "a substantial contribution to the improvement of natural knowledge, including mathematics, engineering science and medical science."  Jordan is known as one of the leading figures in machine learning, and one of the world's most influential computer scientists.  New Fellows are formally admitted to the Society at the Admission Day ceremony in July, when they sign the Charter Book and the Obligation of the Fellows of the Royal Society.

EECS alumna and current Master's student Gloria Tumushabe (B.S. ’20) is the subject of an article in the Spring 2021 Berkeley Engineer titled "Cultivating female coders in Africa."  During the COVID pandemic shutdown, Tumushabe developed a program called Afro Fem Coders to allow her to remotely teach computer programming to girls in Uganda from her home in Walnut Creek.  Two weeks after reaching out by word-of-mouth and social media, she had heard back from more than 40 girls who were eager to participate.  She sent them money to pay for laptops and internet service, and formed an international network of women professionals to provide one-on-one mentoring.  In the year since the program began, it has grown to 120 girls from Uganda, Kenya, Tanzania, Namibia, Botswana and Ethiopia. “The more of us women in this space, the better,” she said.  Tumushabe is leading the EECS Anti-Racism Committee meetings this semester, and was awarded the 2021 EECS Eugene L. Lawler Prize for her "amazing work and dedication to diversity, equity and inclusion, and improving the EECS Department for students who come after her."

EECS Assistant Profs. Somayeh Sojoudi and Alvin Cheung have received Office of Naval Research (ONR) 2021 Young Investigator Program Awards (YIP). The ONR YIP is one of the nation’s oldest and most selective basic-research, early-career awards in science and technology. It recognizes new-career faculty—who obtained their Ph.D. on or after 2013—for prior academic achievement and their potential to make significant scientific contributions in the future. Sojoudi's award is for "High-performance Computational Methods for Nonlinear Machine Learning Problems" in the area of Machine Learning, Reasoning and Intelligence; Cheung's award is for "A Framework for Automatic Leveraging of Trusted Execution Environments" in the area of Cyber Security and Complex Software Systems. They are among 38 recipients who will share $20M in funding to provide laboratory equipment, postdocs, graduate student stipends/scholarships, and other expenses critical to conducting innovative scientific research that will benefit the U.S. Navy and Marine Corps.

Third-year EECS graduate student Jiaheng Zhang (advisor: Dawn Song) has won a 2021 Facebook Fellowship for Security & Privacy.   He is the only student from Berkeley this year to win one of these coveted fellowships, which are designed to support emerging scholars who are engaged in innovative research.  Zhang's focus is on computer security and cryptography, especially zero-knowledge proofs and their applications on blockchain and machine learning models.  He is a member of the RISE Lab, the Initiative for Cryptocurrencies & Contracts Lab (IC3), and the Berkeley AI Research (BAIR). 

EECS Prof. Anthony Joseph has been name the next Director of the Coleman Fung Institute for Engineering Leadership.  After earning his degrees at MIT, Joseph was hired as a professor of Computer Science at Berkeley in 1998. His primary research interests are in Genomics, Secure Machine Learning, Datacenters, mobile/distributed computing, and wireless communications (networking and telephony). His research also includes adaptive techniques for cloud computing, distributed network monitoring and triggering, cybersecurity, and datacenter architectures. He is the former Director of Berkeley Intel Lab, the co-founder of two startup companies, and a committed teacher who has experience developing and teaching five successful massive, open online courses (MOOC) on Big Data and Machine Learning offered through the BerkeleyX platform. Joseph is noted for his commitment to access and inclusion, and has worked to recruit and mentor a diversity of students at the undergraduate and graduate levels.  He will begin his directorship on July 1st.

CS Prof. and Chan Zuckerberg Biohub investigator Michel Maharbiz is the senior author of a paper in Nature Biotechnology titled "Monitoring deep-tissue oxygenation with a millimeter-scale ultrasonic implant," which describes a tiny wireless implant that can provide real-time measurements of tissue oxygen levels deep underneath the skin. The device, which is smaller than the average ladybug and powered by ultrasound waves, could help doctors monitor the health of transplanted organs or tissue and provide an early warning of potential transplant failure.  “It’s very difficult to measure things deep inside the body,” said Maharbiz. “The device demonstrates how, using ultrasound technology coupled with very clever integrated circuit design, you can create sophisticated implants that go very deep into tissue to take data from organs.”

EECS alumnus Yang You (Ph.D. '20, advisor: James Demmel) has been named in the Forbes 30 Under 30 2021 Asia list for Healthcare and Science.  Yang, who is now a Presidential Young Professor of Computer Science at the National University of Singapore, studies Machine Learning, Parallel/Distributed Algorithms, and High-Performance Computing. The focus of his research is scaling up deep neural networks training on distributed systems or supercomputers.  He has broken two world records for AI training speed: one in 2017 for ImageNet and the other in 2019 for Boundless Electrical Resistivity Tomography (BERT).  Yang has won numerous best paper awards as well as the inaugural Berkeley EECS Lotfi A. Zadeh Prize for outstanding contributions to soft computing and its applications by a graduate student.

CS Assistant Prof. Rediet Abebe is co-chairing the inaugural ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’21) in October 2021.  This conference will highlight work where techniques from algorithms, optimization, and mechanism design, along with insights from other disciplines, can help improve equity and access to opportunity for historically disadvantaged and underserved communities.  Launched by the Mechanism Design for Social Good (MD4SG) initiative, it will feature keynote talks and panels, and contributed presentations of research papers, surveys, problem pitches, datasets, and software demonstrations.   The submission deadline is June 3, 2021.

EECS graduate student Andreea Bobu (advisor: Anca Dragan) has been named a 2021 Apple Scholar in AI and Machine Learning (AI/ML).  The scholarship was created by Apple to "celebrate the contributions of students pursuing cutting-edge fundamental and applied machine learning research worldwide."  Bobu's research interests lie at the intersection of machine learning, robotics, and human-robot interaction, with a focus in robot learning with uncertainty. She is particularly interested in the ways in which autonomous systems’ models of the world and of other agents (e.g. humans) can go wrong, and is devising ways to enhance interaction between people and robots.  She earned her BS in Computer Science and Engineering at MIT in 2017, where she worked on probabilistic models for medical image analysis.  She is currently associated with the Berkeley Artificial Intelligence Research (BAIR) lab.

EECS graduate student Wenshuo Guo (advisor: Michael I. Jordan) has won a 2021 Google PhD Fellowship in Algorithms, Optimization and Markets.  This award acknowledges and supports exemplary PhD students in computer science and related fields who are making contributions to their areas of specialty.   Guo studies robustness guarantees in algorithms and machine learning foundations, as well as their impact on society.  She is also interested in the intersection of CS and economics, and is currently focused on mechanism design, causal inference, and statistical questions in reinforcement learning. The award, which will cover full tuition, fees, and a stipend for the 2021-22 school year, will be presented at the Global Fellowship Summit over the summer.