News
(Nov 17, 2023)
Ambuj gives a distinguished lecture in the Charles L. and Ann Brown Distinguished Colloquium series in the ECE department at the University of Virginia.
(Aug 07, 2023)
Ambuj is the General Chair for KDD 2023.
A number of current students and alums are helping with organization of the event.
(Jun 08, 2023)
Marianne receives the Outstanding Undergraduate Research Award from
the UCSB Computer Science Department
the UCSB Computer Science Department
(Jun 07, 2023)
Mert Kosan successfully defended his PhD thesis on "Transparent Representation Learning for Graphs
and Human-AI Collaboration." Committee: Ambuj Singh (Chair), Francesco Bullo, Xifeng Yan
and Human-AI Collaboration." Committee: Ambuj Singh (Chair), Francesco Bullo, Xifeng Yan
(Jun 05, 2023)
Kha-Dinh passes his MAE on the topic of "Representation Learning for Molecular Graphs."
(May 04, 2023)
UC Santa Barbara to lead NSF-funded research institute for next-level AI-powered cybersecurity
(May 01, 2023)
Marianne receives the prestigious NSF Graduate Fellowship award and is joining Cornell Tech for a PhD.
(Apr 14, 2023)
Ambuj presented a talk on Human-AI Collaboration at the Mellichamp Initiative in Mind & Machine Intelligence Summit:
https://mind-machine.ucsb.edu/events/all/2023/mellichamp-initiative-mind-machine-intelligence-summit-2023.
(Apr 05, 2023)
Zexi Huang successfully defended his Phd thesis on "Learning Representations for Information-rich Graphs."
Committee: Ambuj Singh (Chair), Yu-Xiang Wang, Noah Friedkin, Xifeng Yan
(Mar 16, 2023)
Nikunj Baid defends his MS project on the sparsification of graph neural networks.
(Mar 15, 2023)
Our paper "Global Counterfactual Explainer for Graph Neural Networks" receives the Best Paper Award at the 3rd International Workshop on Machine Learning on Graphs (held in conjunction with the 16th ACM International Conference on Web Search and Data Mining (WSDM)).
(Mar 15, 2023)
Our paper "Global Counterfactual Explainer for Graph Neural Networks" was chosen as one of the top-10 papers at the 16th ACM International Conference on Web Search and Data Mining (WSDM), 2023.
(Nov 01, 2022)
Sikun Lin successfully defends her Phd on the topic of "Representation Learning on Brain Data".
Committee: Ambuj Singh (Chair), Tommy Sprague, Xifeng Yan
Artificial intelligence and machine learning (AI/ML) have been extremely successful in predicting, optimizing, and controlling the behavior of... more
(Aug 01, 2022)
Sourav Medya is joining University of Illinois, Chicago as Assistant Professor in Fall 22.
(Mar 01, 2022)
Marianne receives the Barry Goldwater Scholarship from
the Barry Goldwater Scholarship and Excellence in Education Foundation.
the Barry Goldwater Scholarship and Excellence in Education Foundation.
(Sep 09, 2021)
Furkan Kocayusufoglu successfully defended his PhD on the topic of "Learning with Richly Structured Data".
Committee: Ambuj Singh (Chair), Xifeng Yan, Francesco Bullo, Yu-Xiang Wang
Learning problems often involve richly structured data, coupled with a diverse set of learning objectives... more
(Jun 13, 2021)
Arlei Silva is joining the computer science department at Rice University as Assistant Professor in Fall 2021.
(Mar 02, 2021)
Furkan Kocayusufoglu successfully passed his PhD proposal today on "Learning with Richly Structured Data"
Committee: Ambuj Singh (Chair), Xifeng Yan, Francesco Bullo, Yu-Xiang Wang
Abstract: Learning problems often involve richly structured data, coupled with a diverse set of learning objectives... more
(Dec 27, 2020)
Our alum Arnab Bhattacharya promoted to Full Professor at IIT Kanpur. Congratulations!
(Dec 27, 2020)
How to minimize the number of tests on a contact network by group testing is the subject of our study in a new AAAI 2021 paper.
(Dec 27, 2020)
Our AAAI 2021 paper discusses how to model the behavior of coupled networks using an optimization framework and uses this to understand structure-function coupling in brain entworks.
(Dec 01, 2020)
Can we learn combinatorial algorithms on billion-scale graphs? Our algorithm GCOMB shows you can! GCOMB is possibly the fastest algorithm for Influence Maximization. This work will appear in NeurIPS 2020.
(Nov 18, 2020)
Omid Askarisichani successfully defended his PhD on the topic of "Explainable Models of Performance on Networks", he will join Google as a Machine Learning Software Engineer.
Committee: Ambuj Singh (Chair), Francesco Bullo, Noah E. Friedkin, Xifeng Yan
Abstract: Networks model complex systems in... more
(Nov 10, 2020)
Wei is hired as Research Professor (特聘研究员) with the Department of Control Science and Engineering at Tongji University.
(Sep 09, 2020)
Haraldur Hallgrimsson successfully defended his PhD on the topic of "Towards Interpretable Models of Health". He will join Apple as an Applied Research Scientist.
Committee: Ambuj Singh (Co-chair), Scott Grafton (Co-chair), Subhash Suri, Xifeng Yan
Abstract: Advances in machine learning have... more
(Sep 01, 2020)
Our alum Sayan Ranu promoted to Associate Professor at IIT Delhi. Congratulations!
(Jun 08, 2020)
Aneesha Mathur successfully defended her Master with Project on the topic of "The Role of Social Communication in Shaping Expert Performance". She will join Oracle as a Software Engineer.
Committee: Ambuj Singh (Chair), Francesco Bullo, Xifeng Yan
Abstract: Interpersonal relationships in the... more
(Apr 19, 2020)
Our paper with title of "A Game Theoretic Approach For Core Resilience" appears in IJCAI, 2020. Link: https://www.ijcai.org/Proceedings/2020/0480.pdf
(Mar 17, 2020)
Our multi-campus data science initiative with funding from the National Science Foundation gets coverage from UCSB:
https://www.news.ucsb.edu/2020/019829/unified-front
(Feb 25, 2020)
Our research on modeling of team dynamics appears in the UCSB Convergence magazine: https://issuu.com/convergence/docs/convergence_23_master_12_2_19.
(Feb 20, 2020)
Ambuj presents a talk on "Models for Human-AI Decision Making" at the Inaugural Workshop on Mind and Machine Intelligence: https://mind-machine.ucsb.edu/events/all/2020/2020-... more
(Feb 04, 2020)
Ambuj presents a talk on the Central Coast Data Science Initiative and leads a panel on Data Science at the LIMPID/IDEAS Joint Workshop: https://bioimage.ucsb.edu/announcements/666.
(Dec 14, 2019)
Richika Sharan and Haraldur Hallgrimsson presented their paper Estimating localized complexity of white-matter wiring with GANs at the NeurIPS Meets Medical Imaging 2019 workshop in... more
(Sep 18, 2019)
Haraldur Hallgrimsson passes his PhD proposal on "Towards Interpretable Models of Health".
Committee: Ambuj Singh (Co-chair), Scott Grafton (Co-chair), Subhash Suri, Xifeng Yan
Abstract: Healthcare is at a digital inflection point. With a total volume of over two thousand exabytes of healthcare... more
(Aug 16, 2019)
Arlei Lopes da Silva successfully defended his PhD on the topic of "Mining and Modeling Processes on Graphs".
Committee: Ambuj Singh (Chair), Xifeng Yan, Subhash Suri, Ananthram Swami
Abstract: Graphs are a powerful tool for the study of dynamic processes, where a set of interconnected... more
(Jul 25, 2019)
Sourav Medya successfully defended his PhD on the topic of "Scalable Algorithms for Network Design".
Committee: Ambuj Singh (Chair), Amr El Abbadi, Xifeng Yan, Charu Aggarwal, Prithwish Basu
Abstract: Networks (or graphs) are a powerful tool to model complex systems such as social... more
(Jun 12, 2019)
Richika Sharan successfully defended her MS thesis on "Analyzing Heterogeneity and Complexity of White Matter Using Deep Learning".
Committee: Ambuj Singh (chair), Scott Grafton, Xifeng Yan
Abstract: In this work, we identify the heterogeneity of regions of white matter across... more
(Jun 04, 2019)
Chandana Upadhyaya successfully defended her MS project on "Human-Agent Decision Making".
Committee: Ambuj Singh (Chair), Francesco Bullo
Abstract: In a human-agent team, the performance of each human/agent is only partially known initially, and revealed over time as in the classic... more
(May 30, 2019)
Ashwini Patil successfully defended her MS Project on "Human-Agent Decision Making".
Committee: Ambuj Singh (Chair), Francesco Bullo
Abstract: The perfect team of the future will most likely consist of humans and agents(AI). To this purpose, we conducted experiments with human subjects to explore... more
(May 01, 2019)
Sai Nikhil Maram successfully defended his MS project on "Relating Network Structure to Performance".
Committee: Ambuj Singh (Chair), Francesco Bullo
Abstract: People are an integral part of any team. They form a network with edges representing their relationships. Network attributes such as... more
(Jun 12, 2018)
Committee: Ambuj Singh (Chair), Amr El Abbadi, Xifeng Yan, Charu Aggarwal, Prithwish Basu
Title: Scalable Algorithms for Network Design
Abstract:
Networks (or graphs) are a powerful tool to model complex systems in many real-applications, such as those arising from social media,... more
Title: Scalable Algorithms for Network Design
Abstract:
Networks (or graphs) are a powerful tool to model complex systems in many real-applications, such as those arising from social media,... more
(Jun 06, 2018)
Committee: Ambuj K. Singh (Chair), Francesco Bullo, Noah Friedkin, Xifeng Yan
Title: "Predictive Models for Team Performance"
Abstract:
Designing an optimal team is of interest in many disciplines: recruitment of faculty members to build an effective academic department, matchmaking in... more
(Jun 05, 2018)
Committee: Ambuj K. Singh (chair), Francesco Bullo, Noah Friedkin.
Title: Online Learning in Group Decision Making
Abstract:
A perfect agent acting within a complex environment incorporates all relevant data and uncertainties, both tangible and intangible, when making... more
Title: Online Learning in Group Decision Making
Abstract:
A perfect agent acting within a complex environment incorporates all relevant data and uncertainties, both tangible and intangible, when making... more
(Feb 01, 2018)
Committee: Ambuj Singh (Chair), Xifeng Yan, Subhash Suri, Ananthram Swami
Title: Mining and Modeling Processes on Graphs
Abstract:
Graphs are a powerful tool for the study of dynamic processes, where a set of interconnected entities change their states according to the time-varying behavior of an... more