Prof. Dr. Claudia Hauff / TU Delft, The Netherlands
Time: 16 June 2020
Abstract: In recent years, neural technologies have had a large impact on the field of information retrieval (IR): long-standing research problems (such as ad-hoc retrieval or passage retrieval) have seen large jumps in retrieval effectiveness and novel problems (such as conversational search) are tackled by default with neural approaches. IR though is not just the application of techniques developed in the NLP and ML communities. IR has unique research problems and approaches to research that distinguish it from other communities. In this talk, I aim to give insights into what some of the core problems of IR are, how they have been tackled in the past and how we curently view them in this neural age. In the process, I will highlight some of the research activities our group at TU Delft has explored in this area (such as axiomatic IR, curriculum learning for IR, search as learning).
Short bio: Claudia Hauff is an Associate Professor at the Web Information Systems group, Delft University of Technology (TU Delft) and a computer scientist by training. She received her PhD in 2010 from the University of Twente. In the past, she has worked on a variety of topics in the fields of information retrieval & data science, including query performance prediction, social search, learning to search and information retrieval for specific user groups. Together with a number of PhD students she currently focuses on the areas of collaborative search, complex search, and conversational search.
Dr. Jan Willemson / Cybernetica, Estonia
TIme: 18 June 2020
Abstract: By looking at the aftermath of 2017 ROCA case for the Estonian ID-card, it became clear that out of the three main usage scenarios of ID-cards (signing, authentication, encryption), the one of encryption, in some sense, suffered the most. To date, there are still many vulnerable CDOC containers around. One of the main design flaws of this CDOC solution is relying on a single static long-term asymmetric key embedded into the ID-card as a decryption key. It is clear that a better solution is needed; however, it is not straightforward at all how this should look like. In fact, file level encryption is used in many different scenarios and the respective solutions should differ as well. In this talk we are going to cover some of these scenarios and initial ideas about how to approach them.
Short bio: Jan Willemson defended his PhD at Tartu University, Estonia, in 2002. Since 1998, he has been working at Cybernetica as a researcher, contributing to a number of e-government and information security projects. He has authored more than 60 research papers on digital time-stamping, secure computation, systems security, rational risk assessment, electronic voting, etc.
Prof. Dr.sc.ing. Mārīte Kirikova / Riga Technical University, Latvia
Time: 17 June 2020
Abstract: Continuously changing business situations and technologies have produced a need for continuous requirements engineering. The challenges in continuous requirements engineering are determined by the scope of solutions and development methods, for instance, multiproject environments. Quite often, requirements engineering is based on specific models, for instance, enterprise models; and can utilize the power of enterprise architecture tools. While there are many well established approaches to enterprise architecture development for “ordinary”enterprises, in the socio-cyber-physical context there are fewer methods, tools, and architecture frameworks. Thus, in respect of both research and practice, we shall meet a double challenge: the challenge of the continuity of requirements engineering and the challenge of requirements engineering for socio-cyber physical systems. One of the toolsets to meet this double challenge will be demonstrated by combining architecture frameworks for socio-cyber-physical systems with the FREEDOM framework for continuous systems engineering.
Short bio: Dr.sc.ing. Mārīte Kirikova is a Professor in Information Systems Design at the Department of Artificial Intelligence and Systems Engineering, Faculty of Computer Science and Information Technology, Riga Technical University, Latvia. She has more than 200 publications on the topics of requirements engineering, business process modelling, knowledge management, systems development and educational informatics. She is also a co-editor of several scientific proceedings in the area of databases, information systems, information systems engineering, enterprise modelling, systems and business, and business informatics. Marite Kirikova has participated in university research and teaching teams in Sweden, Denmark, Austria, and USA. In her research she currently focuses on continuous information systems engineering.