Vazquez, Pedro

Assistant Professor Hao Wang Selected as a Microsoft AI & Society Fellow

Join is in congratulating Assistant Professor Hao Wang on being selected as a Microsoft AI & Society Fellow. The Microsoft Research AI & Society Fellows program supports interdisciplinary AI research in the context of societal impact. The program offers opportunities for fellows from fields beyond core computer sciences to join and support interdisciplinary research conversations with Microsoft Researchers. By facilitating these new collaborations, Microsoft aims to scale the impact of collective research efforts at the intersection of AI & Society. “I am honored to join the Microsoft AI & Society Fellowship, where our mission is to harness the transformative potential of Large Language Models (LLMs) for the betterment of society. In collaboration with the Microsoft Research teams, our interdisciplinary approach, integrating insights from machine learning, hierarchical Bayesian deep learning, linguistics, and human-computer interaction, positions us uniquely to address some of the most pressing challenges in multimodal and multilingual knowledge representation. By advancing the understanding and technology in domains critical to societal welfare—such as education, healthcare, and sustainability—we aim not only to develop innovative methodologies but also to create tangible impacts through real-world applications. I look forward to collaborating with Microsoft's researchers and our global academic and industry partners to pioneer solutions that are not just technologically advanced but socially responsible and inclusive,” said Professor Wang. For more information https://www.microsoft.com/en-us/research/academic-program/ai-society-fellows/fellows/

Assistant Professor Aaron Bernstein Named 2024 Sloan Research Fellow

The Rutgers University Computer Science Department is proud to announce Assistant Professor Aaron Bernstein has been named a 2024 Sloan Research Fellow. The 126 early-career scholars represent the most promising scientific researchers working today. Their achievements and potential place them among the next generation of scientific leaders in the U.S. and Canada. “I feel very honored and excited to receive the Sloan fellowship, and very grateful to my colleagues and the CS department for their guidance and support,” said Bernstein who also shared he was surprised to be chosen for the academic honor. “Sloan selects people from such a broad spectrum, from so many areas of science – and I work in a somewhat niche area of computer science that isn’t as well known,” said Bernstein, adding he is happy the foundation honored the area he studies within theoretical computer science known as graph algorithms. “I’m excited.” Winners receive $75,000, which may be spent over a two-year term on any expense supportive of their research which Bernstein plans to use to fund the work of a postdoctoral associate on a new project. Read more at Rutgers Today.

wang, Xintong

Patel, Minesh

Harris-Williams, Mychelle

Xin, Cheng

Wahl, Anjali

Levin, Roie

Yang, Zhanfu

Krishnan, Anandi

Goel, Apoorva

International Computing Society Recognizes Prof. Santosh Nagarakatte as a 2023 ACM Distinguished Member

The Rutgers University Computer Science Department is proud to announce Professor and Undergraduate Program Director, Santosh Nagarakatte has been selected as a 2023 ACM distinguished member for his work in novel techniques for building formally verified compilers, correct math libraries, and hardware-software interfaces.   All the 2023 inductees were selected by their peers for work that has advanced computing, fostered innovation across various fields, and improved computer science education. “The ACM Distinguished Members program recognizes both career achievement as well as participation in ACM,” said ACM President Yannis Ioannidis. “Many of these new 52 Distinguished Members have been selected for important technical achievements, while others have been chosen because of their service and/or work in computer science education, which lays the foundation for the future of our field. With the Distinguished Member designation, ACM also highlights how individual computing professionals maintain the health and growth of a global scientific society through membership and active engagement with their colleagues.”  ACM (Association for Computing Machinery) is the world's largest educational and scientific computing society, delivering resources that advance computing as a science and a profession. ACM provides the computing field's premier Digital Library and serves its members and the computing profession with leading-edge publications, conferences, and career resources. When asked about the recognition, Professor Nagarakatte shared, “I am honored to be selected as a 2023 ACM Distinguished Member. I want to thank all my mentors, collaborators, and students at Rutgers CS and elsewhere.” To learn more about Santosh Nagarakatte work, visit: Nagarakatte, Santosh (rutgers.edu) To learn more about the ACM Designation, visit: https://www.acm.org/media-center/2024/january/distinguished-members-2023

16:198:672 - Seminar in Computer Science

Liao, Jamie

Jelvani, Alborz

Non-tenure Track Position, Rutgers University Department of Computer Science

16:198:671 - Seminar in Computer Science

The Rutgers Computer Science Department awarded two faculty positions as part of the Chancellor's Challenge Project Cluster on Data Science and Artificial Intelligence (CDSAI)

The Rutgers Computer Science Department has been awarded two faculty positions as part of the Chancellor's Challenge Project Cluster on Data Science and Artificial Intelligence (CDSAI) under the Transparency and Interpretability of AI component. State-of-the-art AI programs are trained on massive amounts of data that can be nearly impossible to understand and explain, and their automated decisions are being incorporated throughout society. This group will meet the urgent need to study the principles and foundations of AI programs toward the development of AI systems that can be understood, explained, audited, and contested, and the establishment of a transparent and interpretable foundation for this new, transformative technology. To learn more: https://newbrunswick.rutgers.edu/academic-master-plan/chancellor-challenge

Xu, Shuyuan

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