Sanjeev Arora

Sanjeev Arora
Professor Princeton University | The Institute for Advanced Study
Sanjeev Arora is the Charles C. Fitzmorris Professor of Computer Science at Princeton University, where he has been a faculty member since 1994. He received his SB in Math with Computer Science from MIT in 1990 and his Ph.D. in Computer Science from UC Berkeley in 1994. His research interests lie in theoretical computer science, particularly in computational complexity theory.

Sanjeev has received numerous awards and honors for his contributions to the field, including being inducted as a Member of the National Academy of Sciences in 2018, elected to the American Academy of Arts and Sciences in 2015, and received the ACM-Infosys Foundation Award in the Computing Sciences in 2011. He is also a Simons Investigator, a title he has held since 2012.

In addition to his research, Sanjeev is also an accomplished teacher and mentor, receiving the Engineering Council Teaching Award for Fall 2008 at Princeton University and the Graduate Mentoring Award in 2005. He has authored or co-authored numerous publications, including the widely used textbook Computational Complexity: A Modern Approach, which he co-authored with Boaz Barak.

Sanjeev has served on various editorial boards, including those for Computational Complexity, Theory of Computing, SIAM J. Disc. Math, Journal of Combinatorial Optimization, and Information and Computation. He has also held various leadership roles, including serving as the Program Chair for IEEE FOCS 2006 and APPROX 2003 and as the Founding Director and Lead PI of the Center for Computational Intractability at Princeton.
Fun Facts
He loves to travel and maintains a Travel Blog
Summary of recent tweets
Sanjeev Arora, an AI researcher, has been active on Twitter lately, sharing insights and thoughts on various topics. In his recent tweets, he touches upon several trends in the field of artificial intelligence. One trend that Sanjeev Arora has been discussing is the importance of fairness and bias in AI systems. He highlights the need for addressing biases present in data used to train models and emphasizes the ethical implications of biased algorithms. Another trend he mentions is interpretability in AI, emphasizing the need for models to provide transparent explanations for their decisions. Additionally, Sanjeev Arora tweets about advancements in natural language processing (NLP) and machine learning. He shares updates on research papers related to these areas, showcasing his engagement with cutting-edge technologies and techniques. In terms of sentiment analysis, it can be observed that Sanjeev Arora's overall sentiment towards AI is neither overwhelmingly positive nor negative. While he acknowledges the potential benefits and advancements brought by AI technologies, such as improving healthcare or solving complex problems, he also expresses concerns about the ethical challenges associated with them. This balanced perspective suggests a critical mindset towards ensuring responsible development and deployment of AI systems. Overall, Sanjeev Arora's recent Twitter feed reflects his expertise as an AI researcher focusing on topics like fairness in algorithms, interpretability of models, advancements in NLP and machine learning. His discussions indicate a cautious optimism regarding the future direction of AI while acknowledging its societal impact and ethical considerations.

Books By Professor Sanjeev Arora

Computational Complexity: A Modern Approach

Computational Complexity: A Modern Approach

Twitter Timeline of Professor Sanjeev Arora