CSE Distinguished Seminar Series


Guest Talks 2020


Upcoming Lectures






Paul Groth - November 4


Zoom: https://videoconf-colibri.zoom.us/j/949837545

The Challenge of Constructive Data Search


Abstract: A central challenge in our modern information environment is how to find data and unify it from a multitude of diverse sources. The problem of data discovery remains a challenging activity in particular for researchers. I will present our work looking at how researchers go about searching and evaluating data. This is based on in-depth social science inquiry and a unique survey of over 1600 researchers. Based on these insights, I will outline the challenge of constructive data search - building datasets on the fly from multiple sources. Finally, I will discuss our work on the automatic construction of integrated data in the form of knowledge graphs.

Bio: Paul Groth is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab). He holds a Ph.D. in Computer Science from the University of Southampton (2007) and has done research at the University of Southern California, the Vrije Universiteit Amsterdam and Elsevier Labs. His research focuses on intelligent systems for dealing with large amounts of diverse contextualized knowledge with a particular focus on web and science applications. This includes research in data provenance, data integration and knowledge sharing. Previously, Paul led the design of a number of large scale data integration and knowledge graph construction efforts in the biomedical domain. Paul was co-chair of the W3C Provenance Working Group that created a standard for provenance interchange. He has also contributed to the emergence of community initiatives to build a better scholarly ecosystem including altmetrics and the FAIR data principles.Paul is co-author of “Provenance: an Introduction to PROV” and “The Semantic Web Primer: 3rd Edition” as well as numerous academic articles. He blogs at http://thinklinks.wordpress.com.




Susan Holmes - November 11

TBD


Previous Talks



Titus Winters - September 30


Shifting Left: Cost vs Fidelity and Emerging Truths 


Abstract: DevOps practitioners regularly talk about “shifting left” - thinking about scalability, security, QA, Ops, etc, earlier in the software engineering process. Doing so allows issues to be addressed earlier, and leads to more stable software, lower costs, and a higher developer velocity. This talk will show that the shift-left mentality is perhaps more fundamental: “shifting-left” encapsulates a fundamental tradeoff between fidelity in defect finding and defect cost, both for defects that are found and those that slip through. Your process is most effective when you’ve shifted-left defect finding and product fitness practices in such a way to ensure that most releases are quick, easy, non-events. When viewed as a currency, this concept ties final product fitness with standard engineering workflow practices, and “shifting left” emerges as more than a buzzword - it’s a fundamental recognition of a real truth in Software Engineering as a discipline. 

Bio:Titus is a Senior Staff Software Engineer at Google, where he has worked since 2010. At Google, he is the library lead for Google’s C++ codebase: 250 million lines of code that will be edited by 12K distinct engineers in a month. He served several years as the chair of the subcommittee for the design of the C++ standard library. For the last 9 years, Titus and his teams have been organizing, maintaining, and evolving the foundational components of Google’s C++ codebase using modern automation and tooling. Along the way he has started several Google projects that are believed to be in the top 10 largest refactorings in human history.  That unique scale and perspective has informed all of his thinking on the care and feeding of software systems. His most recent project is the book “Software Engineering at Google” (aka “The Flamingo Book”),  published by O’Reilly in early 2020. 





Johannes Schöning - October 14


The Importance of HCI Perspectives for Next‐generation Spatial User Interfaces


Abstract: Catastrophic incidents associated with GPS devices and other personal navigation technologies are all too common: A tourist drives his rental car across a beach and directly into the Atlantic Ocean, a person in Belgium intending to drive to a nearby train station ends up in Croatia, a family traveling on a dirt road gets stranded for four days in the Australian outback. Often we blame those accidents on human error, but as HCI researchers, we have a deep understanding that humans make mistakes and it’s our responsibility as HCI researchers to analyse the failures and improve the technological design to minimise the chances for human error. 
In my talk, I give an overview of how we design, develop and evaluate the next generation of such spatial user interfaces with a lens of HCI. I will outline our approaches to help people navigate, perceive and interact with space from personal navigation technologies to climbing in virtual worlds. In my talk I will present the spectrum of our work bridging the fields human-computer interaction (HCI), geographic information science and ubiquitous interface technologies.

Bio: I am a Lichtenberg Professor and Professor of Human-Computer Interaction (HCI) at the University of Bremen in Germany.  In Bremen I am the co-director of the Bremen Spatial Cognition Center (BSCC) and co-chairman of the TZI (Technologie-Zentrum Informatik und Informationstechnik). Before I was a visiting lecturer at UCL, UK, helping to setup the Intel Collaborative Research Institute for Sustainable Cities and had a faculty position at Hasselt University, Belgium. In addition, I am a visiting professor at the Interactive Technologies Institute, Portugal. Previously, I worked in Saarbrücken, where I was a senior consultant at the German Research Centre for Artificial Intelligence (DFKI). During my time at DFKI, I received a PhD in computer science at Saarland University (2010), which was supported by the Deutsche Telekom Labs in Berlin. I obtained my Master’s degree in Geoinformatics at the University of Münster at the Institute for Geoinformatics (2007). www.johannesschoening.de





Mark Billinghurst - October 21


Sala Zoom: https://videoconf-colibri.zoom.us/j/949837545


Towards Empathic Computing: Next-Generation Collaborative Technologies


Abstract: In this presentation, I review next generation technologies for collaboration in a post-COVID world. People have been researching collaborative tools for many years, but the global pandemic forced large numbers of people to work from home for the first time. The experience of long term use of video conferencing and other collaborative tools soon highlighted the limitations of current technology. I review some of the lessons learned from this widespread use and discuss how new approaches to collaboration using AR and VR could overcome some of the limitations of desktop tools. In particular use of AR and VR can enable more natural ways to work together remotely, while new directions such as Empathic Computing can enable new ways to work together. As remote working becomes the new normal, there are opportunities and directions for future work which will also be discussed. 

Bio: Professor Mark Billinghurst is the Director of the Empathic Computing Laboratory at the University of South Australia, and the University of Auckland. A pioneer in the fields of Augmented and Virtual Reality, Professor Billinghurst has been researching AR and VR for over 25 years, publishing more than 550 research papers on topics such as Collaborative AR and VR, Multimodal Interfaces, Mobile AR, and Empathic Computing. In 2013 he was elected as a Fellow of the Royal Society of New Zealand, and in 2019 was given the ISMAR Career Impact Award in recognition for lifetime contribution to AR research and commercialization.





Saurabh Bagchi - October 28


Zoom: https://videoconf-colibri.zoom.us/j/949837545

Dependability: Meet Data Analytics


Abstract: We live in a data-driven world as everyone around has been telling us for some time. Everything is generating data, in volumes and at high rates, from the sensors embedded in our physical spaces to the large number of machines in data centers which are being monitored for a wide variety of metrics. The question that we pose is: Can all this data be used for improving the dependability of computing systems?
Dependability is the property that a computing system continues to provide its functionality despite the introduction of faults, either accidental faults (design defects, environmental effects, etc.) or maliciously introduced faults (security attacks, external or internal). We have been addressing the dependability challenge through large-scale data analytics applied end-to-end from the small (networked embedded systems, mobile and wearable devices) [e.g., NeurIPS-20, Sensys-20, UsenixSec-20, NDSS-20, DSN-19, UsenixSec-18, S&P-17] to the large (edge and cloud systems, distributed machine learning clusters) [e.g., DSN-20, UsenixATC-20, UsenixATC-19, ICS-19, TDSC-18]. In this talk, I will first give a high-level view of how data analytics has been brought to bear on dependability challenges, and key insights arising from work done by the technical community broadly. Then I will do a deep dive into the problem of configuring complex systems to meet dependability and performance requirements, using data-driven decisions. The first detailed item is in the small: how to perform analytics on streaming video close to the source of the data, such as on an embedded or mobile device, while providing performance guarantees. The second is in the large: how to reconfigure clustered NoSQL databases in the face of changing workloads while preserving availability.

Bio: Saurabh Bagchi is a Professor in the School of Electrical and Computer Engineering and the Department of Computer Science at Purdue University in West Lafayette, Indiana. He is the founding Director of a university-wide resiliency center at Purdue called CRISP (2017-present) and co-lead on the WHIN center for IoT testbeds for digital agriculture and advanced manufacturing. He is the recipient of the Alexander von Humboldt Research Award (2018), an Adobe Research award (2017), the AT&T Labs VURI Award (2016), the Google Faculty Award (2015), and the IBM Faculty Award (2014). He serves on the IEEE Computer Society Board of Governors and is a member of the International Federation for Information Processing (IFIP). Saurabh's research interest is in distributed systems and dependable computing. He is proudest of the 21 PhD and about 50 Masters students who have graduated from his research group and who are in various stages of building wonderful careers in industry or academia. In his group, he and his students have far too much fun building and breaking real systems for the greater good. Saurabh received his MS and PhD degrees from the University of Illinois at Urbana-Champaign and his BS degree from the Indian Institute of Technology Kharagpur, all in Computer Science.