Header Image, Alice and Eve 2022 at TU Delft

Welcome to our free one-day workshop for celebrating women studying and working in computing! Alice & Eve aims to bring together talents in the field of computing. The third edition of this workshop will be hosted on 18 November 2022 by the Delft University of Technology.

Alice and Eve event is inspired by the BCS Lovelace Colloquium that started in 2008. For more details about earlier editions of Alice & Eve, see the websites of 2021 and 2020.

The event is held during a single day, and features:

Join us, and participate to our poster contest on the topic of your choice!

Venue:

The workshop will be held at Mondai House of AI @ Next Delft at the TU Delft campus.

Registration:

The registration is free and includes coffee breaks, lunch and drinks. We welcome everyone of all genders, from bachelor students to full professors, to attend the event.

If you would like to attend the workshop, please register here.

Call for Posters

All women students (Bachelor/Master/PhD) and postdocs of computing and related subjects are invited to enter one of the poster contests during Alice & Eve 2022. We interpret “related subjects” very broadly – we would like to involve everybody in the area of computing in the broadest sense. If you are not sure, drop the organizers an email and we will probably say yes.

To enter the poster contest, please write a one page abstract (minimum 250 words) on the topic of your poster. Your abstract can be on any computing topic you like, e.g., it can be on a topic from social networking to quantum computing; and from medical image processing to formal verification. If it involves computers, we’re interested.

Please submit your abstracts via EasyChair.
You will receive instructions about your poster with the acceptance notification e-mail.

Important dates:

Poster abstract submission deadline: 28 October 2022
Notification of accepted posters: 4 November 2022

PC Members

The program committee consists of the following members:

Exhibition

In addition to the keynote talks and the posters, there will be an exhibition which portrays thirty women in computing and their most important contributions.

Some highlights of the exhibition:

More information on these women, and many others, can be found at the exhibition and the online booklet.

Invited Speakers

Profile Photo Stefanie Roos
Stefanie Roos is an Assistant Professor at TU Delft, she works on decentralization with a focus on privacy-enhancing technologies and security. She has worked on censorship-resistant publication systems like Freenet, anonymous communication networks like Tor, and improved the scalability of blockchains.

Talk: Resilient Publication in the Face of State Censorship
Internet censorship is wide-spread and plays a key role during protests, e.g., as the ones currently ongoing in Iran. In this talk , I will first give an overview of different scenarios for censorship and methods for circumvention. I will then discuss peer-to-peer-based approaches for publishing information in a censorship-resistant manner in more detail. In contrast to most state-of-the-art censorship-resistance systems, such approaches remain applicable if a country completely disconnects their national internet from the global internet.

Profile Photo Judith Good
Judith Good is Professor of Human Computer Interaction in the Informatics Institute at the University of Amsterdam, and director of the newly founded Digital Interactions Lab. She has degrees in psychology and artificial intelligence, and has worked at universities in both Europe and the United States. Her overarching research aim is to develop impactful technologies, designed with end users from the outset, which can have a transformative and empowering effect on the people who use them. Within this broad area, she has focussed on better understanding how people learn, and on how innovative technologies can best support their learning. She is particularly interested in working with people with disabilities, particularly autism, to design technologies which improve their lived experiences. Judith was also actively involved in a number of initiatives to support women and girls in STEM subjects whilst in the UK, and is continuing this work in the Netherlands.

Talk: Towards a more inclusive digital society
Much of the research in human computer interaction takes the form of finding a solution to a ‘problem’, typically by designing a new technology that can solve this problem, or at least go some way towards addressing it. The implicit assumption is that the worse the problem, the more any solution, and hence the research contribution, will be noteworthy and important. This creates tensions when designing for disability, with target users and/or their characteristics, often being framed as somehow problematic. This, in turn, leads to “solutions” which are not fit for purpose. In this talk, I will consider how we might take a different approach to technology design for disability, with the aim of leading to positive changes in what/how/why we design.

Profile Photo Elvan Kula
Elvan Kula is the Chapter Lead of Analytics & AI Research at ING. She is managing ‘AI for Fintech Research’, an ICAI lab, and research collaboration between ING and TU Delft. Next to her role as lab manager, she is a doctoral candidate at TU Delft, focusing on software effort estimation. Elvan is using automated techniques to both understand and improve software development processes in terms of efficiency and predictability.

Talk: Enhancing the Understanding and Prediction of Software Delays at ING Using Machine Learning
In today’s rapidly changing world, the ability to be agile as well as predictable is essential to modern software development companies. To become more predictable in software deliveries, it is essential to better understand which factors affect the on-time delivery of software. We performed several large-scale case studies at ING to investigate which social and technical factors affect the on-time delivery of software, how they interact with each other and how their effects change over time. We have successfully integrated these influential factors using incremental learning for delay prediction at ING. Our results indicate that the planning of software can be significantly improved by incorporating team/process-related information and dynamic methods into analysis/predictive models.

Profile Photo Peter Boncz
Peter Boncz holds appointments as tenured researcher at CWI and professor at VU University Amsterdam. His academic background is in database systems, with the open-source column-store MonetDB the outcome of his PhD. He has a track record in bridging the gap between academia and commercial application, for which he received an ICT Regie Award in 2006. In 2008 he co-founded Vectorwise around the analytical database system by the same name which pioneered vectorized query execution. This initiative later led to the establishment of the R&D center of Databricks in The Netherlands. His later work in graph data management resulted in the non-commercial organization Linked Database Benchmark Council (LDBC), which now cooperates in the creation of the new ISO standard query languages SQL/PGQ and GQL. He also co-founded the SIGMOD workshops DAMON and GRADES, the Dutch Seminar on Data Systems Design and he is general chair of CIDR (that will be held January 2023 in Amsterdam). His most recent new activity is in advising the new startup around DuckDB, founded by CWI colleagues Hannes Mühleisen and Mark Raasveldt.

Talk: Experiences in Systems Research with Impact.
The task of defining a research track with original contributions and impact can appear daunting, due to the many possible choices of direction that one can make, but also the increasing maturity of the field of computing, its growth and the increased sense of competition that comes with that. The systems side of computer science, where I am active, has very many direct applications outside academia, and my personal preference has been to select topics and direction that can make an impact there. This talk will be structured around my personal experiences in the area of data systems research in the past decades. I will share some of my viewpoints on fundamental vs. applied research, trends in research practice that can diminish the impact of research, and strategies to make research more impactful, including community building, communication, open-source and spin-offs; and hope to discuss these with the audience as well.

Profile Photo Mariëlle Stoelinga
Mariëlle Stoelinga is a professor of risk management, both at the Radboud University Nijmegen, and the University of Twente, in the Netherlands. She leads PrimaVera, a large collaborative project on Predictive Maintenance in the Dutch National Science Agenda NWA. She also received a prestigious ERC consolidator grant. Further Stoelinga is the scientific programme leader Risk Management Master, a part-time MSc programme for professionals. She holds an MSc and a PhD degree from Radboud University Nijmegen, and has spent several years as a post-doc at the University of California at Santa Cruz, USA.

Talk: Predictive Maintenance.
No more train delays. The grand vision of Predictive Maintenance (PdM) using data analytics to predict potential failures so well, so these can be prevented by performing maintenance exactly when and where needed — thus resulting in switches, signaling systems and signals experiencing no zero downtime.

While predictive maintenance has its roots in mechanical and civil engineering, I will in this talk elaborate on how computer science lies at the heart of many challenges in predictive maintenance, especially when it comes to automation of the solutions, their specification and verification, multi-stage optimization, the complexity of IT architecture, as well as the organizational objectding of the solutions. Thus, I hope to inspire the audience to contribute to this beautiful, relevant and exciting field.

Profile Photo Jaya Baloo
Jaya Baloo is Avast’s Chief Information Security Officer (CISO) and joined Avast in October 2019. Previously, Ms. Baloo held the position of CISO at KPN, the largest telecommunications carrier in the Netherlands, where she established and led its security team whose best practices in strategy, policy, and security operations are today recognized as world leading. Prior to this, Ms. Baloo also held the position of Practice Lead Lawful Interception at Verizon, and worked at France Telecom as a Technical Security Specialist.

Ms. Baloo is formally recognized within the list of top 100 CISOs globally and ranks among the top 100 security influencers worldwide. In 2019, she was also selected as one of the fifty most inspiring women in the Netherlands by Inspiring Fifty, a non-profit aiming to raise diversity in technology by making female role models in technology more visible.
Ms. Baloo has been working in the field of information security, with a focus on secure network architecture, for over 20 years and sits on the advisory boards of the NL’s National Cyber Security Centre, PQCrypto and the EU Quantum Flagship’s Strategic Advisory Board. She serves on the audit committee of TIIN capital, a cybersecurity fund, and is also a member of the IT Committee of Sociale Verzekeringsbank. She is a board member of the cybersecurity firm NIXU in Finland. Since 2021 she is also a board member of the RvT of the Dutch Broadcasting station, the NOS.
Ms. Baloo has spoken widely at high profile conferences such as RSA, TEDx and Codemotion on topics including Lawful Interception, VoIP, Mobile Security, Cryptography, and Quantum Communications Networks. Additionally, Ms. Baloo is a faculty member of the Singularity University since 2017, where she regularly lectures.

Panel

Topic

Trust in AI - Society perspective: Past, Present, Future

Moderator

Profile Photo Cynthia Liem
Cynthia Liem is an Associate Professor at the Multimedia Computing Group. In 2007 and 2009, she obtained her BSc and MSc degree in Media and Knowledge Engineering (Computer Science) at the TU Delft, after which she continued pursuing a PhD at the same institution (defended in 2015). Besides, she obtained the BMus (2009) and MMus (2011) degree in classical piano performance at the Royal Conservatoire in The Hague.

Panelists

Profile Photo Zeki Erkin
Zeki Erkin is an associate professor in the Cyber Security Group, Delft University of Technology. He received his PhD degree on “Secure Signal Processing” in 2010 from Delft University of Technology where he has continued his research on Privacy Enhancing Technologies, particularly on Computational Privacy. His interest is on protecting sensitive data from malicious entities and service providers using cryptographic tools. While his interest on solutions based on provably secure cryptographic protocols is the core of his research, Dr. Erkin is also investigating distributed trust for building such protocols without trusted entities.
Profile Photo Maria Luce Lupetti
Maria Luce Lupetti is an Assistant Professor in Design at the faculty of Industrial Design Engineering, TU Delft ( NL). She studied 'Industrial Design' at ISIA Roma Design (B.A.) and pursued a master in 'Ecodesign' and a PhD in ' Production, Managment and Design' at Politecnico di Torino (M.Sc.) in Italy. Her current research, at the intersection of design, ethics, AI and robotics, is focused on understanding and designing responsible human-technology relations. Specifically, she investigates how critical design methods can be used to promote conscious and responsible approaches to AI systems development.
Profile Photo Seyran Khademi
Since April 2021, Seyran Khademi is an Assistant Professor at the faculty of Architecture and the Built Environment (ABE) and the co-director of AiDAPT lab (AI for Design, Analysis, and Optimization in Architecture and the Built Environment). She is working as an interdisciplinary researcher between Computer Vision lab and Architecture Department at ABE. Her research interest lies at the intersection of Data, Computer Vision and Deep Learning in the context of man-made imagery including illustrations and visual data for Architectural Design.

Program

Time  
09.30 - 10.00 Welcome coffee
10.00 - 10.15 Opening
10.15 - 10.45 Talk: Stefanie Roos - Resilient Publication in the Face of State Censorship
10.45 - 11.00 Coffee Break
11.00 - 11.30 Talk: Judith Good - Towards a more inclusive digital society
11.30 - 12.00 Talk: Elvan Kula - Enhancing the Understanding and Prediction of Software Delays at ING Using Machine Learning
12.00 - 14.00 Lunch
13.00 - 14.00 Poster exhibition
14.00 - 14.30 Talk: Peter Boncz - Experiences in Systems Research with Impact
14.30 - 15.00 Talk: Mariëlle Stoelinga - Predictive Maintenance
15.00 - 15.30 Coffee break
15.30 - 16.00 On stage interview: Jaya Baloo
16.00 - 16.15 Poster prizes
16.15 - 17.00 Panel - Trust in AI - Society perspective: Past, Present, Future
17.00 - 18.00 Drinks and socials

Posters

These posters were presented during the poster competition at Alice & Eve 2022: (not all posters are available yet, we will update this page as soon as we have them)

alt : poster

Ontology-Enriched Data Management with Partially Complete Information

Sanja Lukumbuzya
alt : poster

Exploring Face De-Identification using Latent Spaces

Una Kelly
alt : poster

Incident Management in a Software-Defined Business: A Case Study

Eileen Kapel
alt : poster

Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic

Jin Huang
alt : poster

A Critique of the Making Invisible of A.I. Policing

Fatemeh Alizadeh
alt : poster

EV-Mask-RCNN: Instance Segmentation in Event-based Videos

Ana Băltărețu
alt : poster

Approximate Computing: A way towards Sustainability

June Sallou
alt : poster

Reducing Bias in Automatic Speech Recognition Systems

Tanvina Patel
alt : poster

Supporting teams during crises

Kyana van Eijndhoven
alt : poster

Graph Generating Dependencies for Graph Data Profiling

Larissa Capobianco Shimomura
alt : poster

Investigation Sprayer Issue Detection in Alfa Laval's PureSOx using Data-Driven Approaches

Loes Kruger
alt : poster

Towards Building Reliable Hybrid Human-Machine Classifiers

Burcu Sayin
alt : poster

SoK: Explainable Machine Learning for Computer Security Applications

Azqa Nadeem
alt : poster

Incremental Inprocessing in SAT Solving

Katalin Fazekas
alt : poster

What Developers Change Before Accepting Automatically Amplified Tests

Carolin Brandt
alt : poster

CPS Performance Issues: From pebble to avalanche

Imara van Dinten
alt : poster

Synthesis of Hybrid Systems from Multimodal Datasets

Miriam García Soto

Organizing committee

Profile Photo Burcu Kulahcioglu Ozkan
Burcu Kulahcioglu Ozkan

Delft University of Technology

Profile Photo Andra-Denis Ionescu
Andra-Denis Ionescu

Delft University of Technology

Profile Photo Carolin Brandt
Carolin Brandt

Delft University of Technology

Steering committee

Our Sponsors

PLATINUM

Logo VERSEN
Logo TU Delft
Logo Monday House of AI

GOLD

Logo BetterBe

DuckDB Foundation

DuckDB Logo
TOPDesk Logo
bol.com Logo

SILVER

Logo SIDN
JetBrains Logo (Main) logo.

BRONZE

Logo ASCI
Logo SIKS
Logo CWI

Contact Us

For questions regarding the workshop, please contact the organizers!

Logo Monday House of AI Logo TU Delft