David S. Rosenblum

David S. Rosenblum is Provost's Chair Professor in the Department of Computer Science at the National University of Singapore. He is currently the Director of the NUS-Singtel Cyber Security Research and Development Laboratory, and he is a member of the NUS Graduate School for Integrative Sciences and Engineering. From 2013 to 2016 he was Dean of the NUS School of Computing.

Professor Rosenblum received his PhD in 1988 from Stanford University. From 1988 to 1996 he was a Member of the Technical Staff at AT&T Bell Laboratories (now AT&T Labs Research) in Murray Hill, New Jersey, and from 1996 to 2001 he was on the Faculty of the Department (now School) of Information and Computer Science at the University of California, Irvine. From 2001 to 2003 he was Chief Technology Officer and Principal Architect of PreCache, a startup company developing technology in the area of publish/subscribe networking. From 2004 to 2011 he was Professor of Software Systems in the Department of Computer Science at University College London.

Professor Rosenblum's research has addressed a wide range of problems spanning the breadth of the software development life cycle, including software specification, architecture, design, verification, testing, analysis and maintenance. His current research focuses on the use of machine learning in the design and testing of mobile, context-aware adaptive systems for ubiquitous computing and the Internet of Things. In 1997 he received a CAREER Award from the US National Science Foundation for his work on distributed component-based software, and from 2004-2009 he held a Wolfson Research Merit Award from the Royal Society.

He is a Fellow of the ACM and IEEE and has received two test-of-time awards for his research. He was previously Editor-in-Chief of the ACM Transactions on Software Engineering and Methodology (ACM TOSEM) and an Associate Editor for the IEEE Transactions on Software Engineering (IEEE TSE). He has served as Member-at-Large, Vice Chair, Chair and Past Chair of the ACM Special Interest Group on Software Engineering (ACM SIGSOFT), and in 2018 he received the ACM SIGSOFT Distinguished Service Award.

More information is available in a current CV.

Major Awards

• ACM SIGSOFT Distinguished Service Award (2018)
• Inaugural ACM SIGSOFT Impact Paper Award (2008)
• ICSE Most Influential Paper Award (2002)

Fellowships and Affiliations

• Fellow of the Association for Computing Machinery (FACM)
  • Member of the ACM Special Interest Group on Data Communication (ACM SIGCOMM)
  • Member of the ACM Special Interest Group on Mobility of Systems, Users, Data and Computing (ACM SIGMOBILE)
  • Member of the ACM Special Interest Group on Software Engineering (ACM SIGSOFT)
  • Profile as "People of ACM"
• Fellow of the Institute of Electrical and Electronics Engineers (FIEEE)

Current Professional Activities

• Provost's Chair Professor of Computer Science
• Director of the NUS-Singtel Cyber Security Research and Development Laboratory
• Principal Investigator of TrustDNN: Evaluating the Trustworthiness of Deep Learning Systems
• Chair of the Management Board of the NUS Cryptocurrency Strategy, Techniques, and Algorithms Centre (CRYSTAL)
• Member of the NUS Graduate School for Integrative Sciences and Engineering (NGS)
• Deputy Convenor of the 2020 Hong Kong Research Assessment Exercise (RAE)
• Program Committee Member, ICSE 2021 Doctoral Symposium
• Deputy Chair of the ACM Distinguished Member Committee
• Member of the Steering Committee of the International Conference on Software Engineering (ICSE)

Recent Book

• 40 Editions of ICSE—the ruby anniversary celebration (ICSE 2018)

Recent Papers

• Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics (ECML-PKDD 2020)
• Quantitative Verification for Monitoring Event Systems (IEEE Transactions on Software Engineering, 2020)
• Unsupervised Learning of Disentangled Location Embeddings (IJCNN 2020)
• Predicting Urban Water Quality with Ubiquitous Data—A Data-driven Approach (IEEE Transactions on Big Data, 2020)
• Translation-Based Sequential Recommendation for Complex Users on Sparse Data (IEEE Transactions on Knowledge and Data Engineering, 2020)
Efficient Decentralized LTL Monitoring Framework using Tableau Technique
Omar Bataineh, David S. Rosenblum, Mark Reynolds
ACM Transactions on Embedded Computing Systems (TECS), 2019
• Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking (IJCAI 2019)
• UrbanFM: Inferring Fine-Grained Urban Flows (KDD 2019)
• A Novel Decentralized LTL Monitoring Framework Using Formula Progression Table (SPIN 2019)
• MMKG: Multi-Modal Knowledge Graphs (ESWC 2019)
• Evaluating Recommender System Stability with Influence-Guided Fuzzing (AAAI 2019)
Verifying the long-run behavior of probabilistic system models in the presence of uncertainty
Yamilet R. Serrano Llerena, Marcel Böhme, Marc Brünink, Guoxin Su, David S. Rosenblum
ESEC/FSE 2018 Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
• Learning Structures of Interval-Based Bayesian Networks in Probabilistic Generative Model for Human Complex Activity Recognition (Pattern Recognition, 2018)
• A Non-Parametric Generative Model for Human Trajectories (IJCAI-ECAI 2018)
• Fortune Teller: Predicting Your Career Path (AAAI 2016)
• From Action to Activity: Sensor-Based Activity Recognition (Neurocomputing, 2016)

Recent Talks