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Reporting workshop

June 16, 2022 @ 09:30 - 17:00

In Software Center, companies and universities work together to accelerate the adoption of novel approaches to software engineering. The reporting workshop takes place twice a year, in June and December. This one day event aims at sharing results from research and cooperation within Software Center. The agenda ranges from key note presentations to in-depth sessions for themes and projects. The cooperation between academia and companies in Software Center creates the software engineering success stories that industry needs.

Registration:

Please register at this link: https://forms.gle/SQtZ92kKDvk9hD5dA 

Venue:

Link to Teams meeting:

Click here to join the meeting

This reporting workshop is a hybrid event; meet us live at Lindholmen Conference Center or join us over Teams.

Agenda:

10:00-10:30: Opening: Jan Bosch
Link to Teams meeting: Click here to join the meeting

10:30-11:00: How to integrate fast & Agile SW development into a vehicle development: Keynote presentation by Mark Mohr, SVP Vehicle Technology at Volvo Group Truck Technology

11:00-12:00: Community updates in parallel:

  • Software engineering: room “Watt” & virtual
    Link to Teams meeting: Click here to join the meeting
    Chairs: Miroslaw Staron, Wilhelm Meding, Jan Carlson and Kristian Sandahl

    • Session keynote: Machine Learning in production has never been easier, Josef Lindman Hörnlund, Gothenburg AI Association,
  • Product management: room “Joule” & virtual

    Link to Teams meeting: Click here to join the meeting
    Chair: Helena H Olsson
    • Session keynote: Niklas Einvall, Head of Product Management, SAAB: ”New Security Demands Gives new Possibilities- Transformation from Legacy Based to Platform Based Sensors”
    • Session lightning talk: Fredrik Hugosson, Architect Body Worn Solutions, Axis Communications: ”Fail Fast”
  • AI Engineering: room “Decibel” & virtual
    Link to Teams meeting: Click here to join the meeting
    Chair: Jan Bosch

    • Session keynote: Mette Lægdsmand, Head of AI Solutions in Digital Development, Grundfos: “Towards MLOps in digital products in Grundfos

12:00 – 13: 00 Lunch break

13:00 – 15:00: Up-dates from Software Center projects – parallel tracks:

  • Theme 1 & 2: Continuous delivery & Architecture: room “Watt” & virtual
    Link to Teams: Click here to join the meeting 

    • 13.00-13.30: Project:29: Intrusion Detection Systems using Tiny Digital Twins (Fereidoun Moradi)
    • 13.30-14.00: Project 30: Biases and Trust Challenges in Software Test Automation (Eduard Paul Enoiu)
    • 14.00-14.30: Project 35: Managing Model Inconsistencies (Robbert Jongeling)
    • 14.30-15.00: Discussion
  • Theme 3: Metrics: room “Volt” & virtual
    Link to Teams: Click here to join the meeting

    • 13.00 – 13.30: Project 37: Towards successful metrics communication for decision making: Triggering decisions and actions with defects dashboards. Suggestions for managers. (Nataliya Berbyuk Lindström, Aleksandre Asatiani)
    • 13.30 – 14.00: Project 3: Measuring requirements similarity using language embeddings (Miroslaw Staron)
    • 14.00 – 14.30: Project T4AI: Source code similarity measurement using language embeddings (Sushant K. Pandey)
    • 14.30 – 15.00: Project iNFORM: Non-Functional Requirements for Machine Learning: Understanding Current Use and Challenges Among Practitioners (Khan Mohammad Habibullah)
  • Theme 4: Customer Data and Ecosystem Driven Development: room “Joule” & virtual
    Link to Teams: Click here to join the meeting

    • 13:00 – 13:30 Project 5: Accelerating Digitalization Through Data (Helena H. Olsson)
    • 13:30 – 14:00 Project 9: Strategic Ecosystem Driven R&D Management (Helena H. Olsson)
    • 14:00 – 14:30 Project 27: Engineering Knowledge-Flows in Large-Scale Agile SystemDevelopment (Jennifer Horkoff)
    • 14:30 – 15:00 Q&A and Group discussion
  • Theme 5: AI Engineering: room “Decibel” & virtual
    Link to Teams meeting: Click here to join the meeting

    • 13:00-13:20 Data Pipeline Maturity Model and AI Powered Fault Tolerance in Data Pipelines (Aiswarya Raj)
    • 13:20-13:40 Teodor Fredriksson
    • 13:40-14:00 Deep Reinforcement Learning in a Dynamic Environment (Hongyi Zhang)
    • 14:00-14:20 Monitoring Machine Learning/Deep learning Models in Production (Meenu John)
    • 14:20-14:40 Pattern Recognition Methods for Detecting Engineering Errors on Technical Drawings (Rimma Dzhusopova)
    • 14:40-15:00 Discussion

Afternoon plenary sessions: room “Decibel” and virtual
Link to Teams meeting: Click here to join the meeting

15:15 – 16:00: A report from the machine learning trenches – Keynote presentation by Staffan Truvé, CTO / co-founder at Recorded Future

16:00 – 16:30 Plans, reflections & closing: Jan Bosch

Speakers

Mark Mohr, SVP Vehicle Technology at Volvo Group Truck Technology
Since March 2021 Mark is SVP Vehicle Technology at Volvo Group Truck Technology. Before he was Head of Development Commercial Vehicle Division at ZF Friedrichshafen AG. In this role, Mark’s main was on driver assistance systems automation, new hardware, and software architectures besides the classical driveline and chassis business. Previous roles include R&D as well as commercial responsibility for drivelines and axles of ZF’s construction machinery business. Mark was born and raised in Germany, with a Ph.D. in Mechanical Engineering from the Technical University Kaiserslautern, Germany.

Staffan Truvé, Co-founder & CTO, Recorded Future
Staffan co-founded Recorded Future in 2009. Previous to that, he was CEO of the Swedish Institute of Computer Science (SICS) and Interactive Institute. Before that, he was CEO of CR&T, a research-oriented consulting company and technology incubator.

Staffan has co-founded or helped launch more than a dozen high tech start-ups, including Spotfire, Appgate, SmartEye, PilotFish, Makewave, Gavagai, Peerialism, Axiomatics, and Recorded Future. He has been on the board of several other startups, and has acted as a senior advisor to InnovationsKapital, a Swedish VC fund.

Staffan holds a PhD in Computer Science and a MSc in Engineering Physics from Chalmers University of Technology. He has been a visiting Fulbright Scholar at MIT and holds an MBA from Gothenburg University. His research interests include parallel and distributed computing, artificial intelligence, information visualization, and open source intelligence.

Staffan is a member of the Royal Swedish Academy of Engineering Sciences and a board member of the Swedish national innovation agency, Vinnova.

Details

Date:
June 16, 2022
Time:
09:30 - 17:00
Event Categories:
, ,

Organizer

Jan Bosch
Email:
jan.bosch@chalmers.se

Venue

Virtual event
Sweden + Google Map