News: Data- och informationsteknikhttp://www.chalmers.se/sv/nyheterNews related to Chalmers University of TechnologyFri, 22 Oct 2021 01:15:28 +0200http://www.chalmers.se/sv/nyheterhttps://www.chalmers.se/en/centres/chair/news/Pages/Measuring-poverty-through-satellite-images.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/Measuring-poverty-through-satellite-images.aspxMeasuring poverty through satellite images<p><b>Algorithms are trained to detect levels of poverty by looking at sattelite images in this collaboration between computer scientists at Chalmers and poverty researchers at the University of Gothenburg.  </b></p>​Poverty <span lang="EN-US">research of today is dependent on survey data from interviews with people living under the conditions that are studied. Gathering statistics from rural areas of Africa for instance is both costly and a slow way of learning about the situation, leading to a lack of data far from being sufficient to get a good overview of the living conditions in Africa.<br /></span><span lang="EN-US" style="background-color:initial"><br />– Better</span><span lang="EN-US" style="background-color:initial"> knowledge about the living conditions would mean better tools in fighting poverty, says Adel Daoud, poverty researcher and project leader of two projects funded by the Swedish Research Council and Formas with the ambition to create an algorithm that can look at satellite images and tell us the status of both health and economic condition of the population in the area. Adel is also an affiliated researcher at Chalmers Data Science and AI division.<br /></span><span style="background-color:initial"><br />The project is a collaboration between social scientists at the University of Gothenburg and computer scientists at Chalmers. Also, researchers from the Department of Statistics at Harvard and from the Institute for Analytical Sociology, </span><span style="background-color:initial">Linköping</span><span style="background-color:initial"> University will participate in the project. In the project data from surveys and satellite images are linked together to teach the AI-system how to detect different aspects of poverty. The algorithm compares images from 1984 up to 2020.</span><div> <div><p><span lang="EN-US" style="background-color:initial"><br />– The</span><span lang="EN-US" style="background-color:initial"> algorithm learns what is characteristic for places with high poverty when viewed from above. It predicts what type of fuel that is common, if cell phones are common, are there hospitals and access to education? What are the most common means of transportation and do people in general have bank accounts in the area?</span><span lang="EN-US" style="background-color:initial">, says Fredrik Johansson, Assistant Professor at the Data Science and AI division, Chalmers. <br /></span><span style="background-color:initial"><br />A</span><span style="background-color:initial"> later part of the project deals with using the data to study so called poverty traps, where societies seem to be in a loop of poverty despite initiatives to rise from it. The AI system will provide data that may be used to evaluate factors that have impact on poverty and living conditions, like political decisions, infrastructural initiatives and more.</span></p> <p><span lang="EN-US" style="background-color:initial">– Why</span><span lang="EN-US" style="background-color:initial"> are some governments better than others in fighting poverty? Are there political strategies that are more successful than others? Is there a railroad between villages that has improved living standards or has the government in the country gone from an authoritarian regime to democracy? says Adel Daoud.</span><span style="background-color:initial"> </span></p></div> <div><p><span style="background-color:initial">The prospects look good. Already the algorithms have proven to be very efficient in supplying predictions of living standards.<br /></span></p></div> <div> <p><span lang="EN-US">– Our first </span><span lang="EN-US">results are very promising. In particular, we are excited to see that our models are able to predict poverty levels at different points in time than they were trained on. This takes us closer to the goal of identifying poverty traps&quot;, says Fredrik Johansson.<br /></span><span lang="EN-US" style="background-color:initial"><i><br />Adel Daoud and Fredrik Johansson, Computer Science and Engineering.<br /></i></span></p></div></div>Mon, 18 Oct 2021 00:00:00 +0200https://www.chalmers.se/en/areas-of-advance/ict/news/Pages/Can-automated-fact-checkers-clean-up-the-mess.aspxhttps://www.chalmers.se/en/areas-of-advance/ict/news/Pages/Can-automated-fact-checkers-clean-up-the-mess.aspxCan automated fact checkers clean up the mess?<p><b>​The dream of free dissemination of knowledge seems to be stranded in a swamp of tangled truth. Fake news proliferates. Digital echo chambers confirm biases. Even basic facts seem hard to be agreed upon. Is there hope in the battle to clean up this mess?  </b></p>​Yes! Within the research area of information and communications technology (ICT) a lot of effort is made to find software solutions. As part of the<span style="background-color:initial"> Act Sustainable week, starting 15th of November, t</span><span style="background-color:initial">h</span><span style="background-color:initial">e ICT Area of Advance </span><span style="background-color:initial">invites you to a morning session with focus on automated fact-checking.​ </span><div><br /><span style="background-color:initial"></span><div><div> <h3 class="chalmersElement-H3">AGENDA 18 November</h3> <div><div></div> <div><div><b>09:45 Introduction </b></div> <div><b>Erik Ström</b>, Director, Information and Communications Technology Area of Advance</div> <div><b>10:00 Looking for the truth in the post-truth era</b></div> <div><b>Ivan Koychev,</b> University of Sofia, Bulgaria. He will give a brief overview of how to automatically find the claims and facts in the text and how further to look for their confirmation or refutation.</div> <div><b>10:30 Computational Fact Checking for Textual Claims</b></div> <div><b>Paolo Papotti,</b> Associate Professor, EURECOM, France. He will cover the opportunities and limitations of computational fact checking and its role in fighting misinformation. He will also give examples from the &quot;infodemic&quot; associated with the COVID-19 pandemic.</div> <div><b>11:00 Pause</b></div> <div><b>11:10 Panel discussion</b></div> <div>Moderator <b>Graham Kemp</b>, professor, Department of Computer Science and Engineering, Chalmers together with an invited panel.​ More info to come!</div> <div><b>12:00 The end​</b></div></div> <div><b><br /></b></div> <div></div></div> <div>Welcome to learn more about how to sort out some of the tangle!​</div> <div><br /></div> <div><a href="https://www.actsustainable.se/thursday21" target="_blank" title="link to the Act Sustainable website"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more and register here</a></div> <div><a href="https://www.actsustainable.se/thursday21" target="_blank" title="link to the Act Sustainable website"></a><a href="https://www.actsustainable.se/" target="_blank" title="Link to start page Act Sustainable website"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more about the Act Sustainable week​</a>​<br /></div></div></div> <div><br /></div></div>Fri, 01 Oct 2021 00:00:00 +0200https://www.chalmers.se/en/news/Pages/Daniel-Gillblad-new-Director-of-Chalmers-AI-Research-Center.aspxhttps://www.chalmers.se/en/news/Pages/Daniel-Gillblad-new-Director-of-Chalmers-AI-Research-Center.aspxChalmers AI Research Center gets a new director<p><b>​On 1 October, Daniel Gillblad will begin his role as the new Director of Chalmers AI Research Center (CHAIR). He will take on the responsibility of leading the continued development of Chalmers’ cutting-edge capabilities within artificial intelligence, with the goal of driving world-leading research for the benefit of Swedish industry and the public sector. ​</b></p>​<span></span><span style="background-color:initial">Daniel Gillblad currently works as Co-Director Scientific Vision at Sweden’s national AI centre, AI Sweden. He has previously worked as a researcher, research leader and laboratory head at the Swedish Institute of Computer Science, SICS, as well as Head of AI research at </span>Research Institutes of Sweden,<span style="background-color:initial"> Rise. </span><div><br /></div> <div>”Daniel’s comprehensive expertise and experience will be a huge advantage for the continued work of integrating Chalmers’ AI research within national and international research initiatives, supporting our educational assignment in AI as well as encouraging innovation and commercialisation and developing our collaborations with industrial partners in AI,” says Stefan Bengtsson, President and CEO of Chalmers University of Technology.  </div> <div>Daniel Gillblad will begin his role as the new Director of CHAIR on </div> <div>1 October, while also continuing his work as Co-Director at Sweden’s national AI center, AI Sweden.</div> <div><br /></div> <div>“I am extremely glad to be given this opportunity as Director of CHAIR to work together with Chalmers researchers to develop future AI methods and applications. I am also greatly looking forward to further strengthening the connections between academia, industry and the public sector through my continued work with AI Sweden,” says Daniel Gillblad. </div> <div><br /></div> <div><em>Text: Ingrid Claesson</em></div> ​Wed, 29 Sep 2021 14:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/Theme-Semesters.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/Theme-Semesters.aspxTheme Semesters<p><b>​In the call CHAIR Theme Semesters, Chalmers AI Research Centre wants to promote cross-discipline collaboration and opens for funding of a visiting research leader or a group of visiting researchers of the field for a duration of 1 to 3 months. ​</b></p><strong>​</strong><span lang="EN-US"><span><strong>Moritz Schauer, associate senior lecturer at Mathematical Sciences, is part of the working group that developed the call.</strong></span></span><span><strong> </strong></span><div><br /><span></span><div><span lang="EN-US"><span><em>What kind of collaboration and science is it that CHAIR hopes </em></span><span><em>come</em></span><span><em> out of the call?</em></span></span><span><em> </em></span><span><br /></span></div> <div><span><em><br /></em></span></div> <div><span lang="EN-US"><span>The vision is to seed cross-disciplinary research cooperation that is sustaining itself beyond the call, that requires creating interest and support the respective communities by opening new </span><span>perspectives,</span><span> but it doesn’t prescribe how that scientific cooperation should look like.</span></span></div> <div><span lang="EN-US"><span><br /></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span><em>Is the call for those developing AI as their main discipline or can AI be one of the tools for the research?</em></span></span><span><em> </em></span><span><br /></span></span></div> <div><span lang="EN-US"><span><em><br /></em></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span>The call is not restricted to researchers that only have AI as their field of interest</span><span>. O</span><span>n the contrary</span><span>,</span><span> we ask for projects of cross</span><span>-d</span><span>isciplinary nature with AI bringing the different parts together.</span></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span><br /></span></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span lang="EN-US"><span><em>How will the visiting research groups contribute to strengthening the AI research at Chalmers in general?</em></span></span><span><em> </em></span><span><br /></span></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span><em><br /></em></span></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span lang="EN-US"><span>The visiting researcher or visiting research group will lead this effort together with the local hosts/applicants.</span></span><span> </span><span><em><br /></em></span></span></span></div></div>Wed, 29 Sep 2021 00:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/X-AI.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/X-AI.aspxX+AI<p><b>​With the new Chalmers initiative, CHAIR aims to establish an instrument that allows Chalmers-based researcher in any field (X) with a strong international standing to develop an environment that leverages AI to reach global excellence. ​​</b></p><strong>​</strong><span lang="EN-US"><span><strong>Karinne</strong></span><span><strong> Ramirez-Amaro, Assistant Professor at Electrical Engineering, is part of the working group that developed the call. <br /><br /></strong></span></span><div><span lang="EN-US"><span lang="EN-US"><span><em>What kind of collaboration and science is it that CHAIR hopes come out of the call?</em></span></span><span><em> <br /></em></span><span><strong><br /></strong></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span>This call aims to find one or more research topics (X) that can be combined with AI in a way that unifies and excites excellent research groups at Chalmers. We encourage a multi-disciplinary collaboration to find synergistic connections of different research topics (X) that can benefit from AI methods by assembling teams with internal, national, international, or industrial partners.</span></span><span> </span><span><em><br /></em></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span><em><br />Is the call for those developing AI as their main discipline or can AI be one of the tools for the research?</em></span></span><span><em> <br /></em></span><span><br /></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span>Both cases are encouraged to apply. One of the main goals of this new call is to support the creation or development of consortia that can potentially lead to novel project applications.</span></span><span> </span><span><em><br /></em></span></span></div> <div><span lang="EN-US"><span><br /></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span><em>How great is the potential for Chalmers researchers to develop unique collaborations between AI-researchers and non-AI researchers? What do you hope it will lead to?</em></span></span><span><em> <br /></em></span><span><br /></span></span></div> <div><span lang="EN-US"><span lang="EN-US"><span>We expect that this new grant can he​lp researchers to create new networks or to participate in existing ones focusing on areas/problems that can greatly benefit from developing and applying AI methods. </span></span><span><em><br /></em></span></span></div>Tue, 28 Sep 2021 00:00:00 +0200https://www.chalmers.se/en/areas-of-advance/ict/news/Pages/WASP-PhD-Student-Positions.aspxhttps://www.chalmers.se/en/areas-of-advance/ict/news/Pages/WASP-PhD-Student-Positions.aspxCall for WASP affiliated PhD Student Positions<p><b>15 open positions within WASP Graduate School</b></p><p class="chalmersElement-P"><b>​Application deadline: </b>October 31, 2021 <span>(opens October 1)</span></p> <p><font color="#212121"><br /></font></p> <p><font color="#212121">The Wallenberg AI, Autonomous Systems and Software Program hereby announces a <b>call for 15 affiliated WASP PhD student positions </b>at the five partner universities Chalmers, KTH, Linköping University, Lund University and Umeå University as well as the research groups at Örebro University and Uppsala University that are members of WASP. The purpose of the call is to provide the opportunity for PhD students not funded by WASP to be part of the WASP Graduate School.</font></p> <p><font color="#212121"><br /></font></p> <p><font color="#212121"><em><b>Wallenberg AI, Autonomous Systems and Software Program (WASP)</b> is Sweden’s largest ever individual research program, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information, and knowledge, and forming intelligent systems-of-systems. </em><br /></font></p> <p><font color="#212121"><br /></font></p> <p><span style="background-color:initial;color:rgb(33, 33, 33)"></span></p> <p><span style="background-color:initial;color:rgb(33, 33, 33)"><a href="https://wasp-sweden.org/calls/call-for-affiliated-wasp-phd-student-positions/" target="_blank" title="link to WASP call website"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read the full information on the WASP website</a></span><br /></p> <p><br /></p> <div> </div> <div> </div>Thu, 23 Sep 2021 00:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/Call-CHAIR-Theme-Semesters.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/Call-CHAIR-Theme-Semesters.aspxCall CHAIR Theme Semesters<p><b>​CHAIR Theme Semesters is a programme designed to bring together Chalmers researchers from different disciplines under a common theme to jointly advance fundamental problems in AI/machine learning: led by a visiting researcher leader or a group of visiting researchers of the field for a duration of 1 to 3 months.</b></p>​<span>We are looking for</span><span> </span><span>applications by </span><span>a</span><span>n interdisciplinary</span><span> consortium of</span><span> three</span><span> to </span><span>five</span><span> researchers </span><span>at Chalmers (and common GU </span><span>d</span><span>epartments)</span><span> with common focal interest in AI/machine learning </span><span>to </span><span>work for</span><span> </span><span>for the duration </span><span>together on a jointly agreed research programme. </span><span>A dedicated physical working space </span><span>is</span><span> available in collaboration with AI Innovation of Sweden</span><span>.</span><span> </span><span>The </span><span>researchers would be expected to interact together intensively on a daily basis.<br /><br /></span><div></div> <div><div><span>The consortium nominates and invites an</span><span> internationally recognized research leader in AI/machine learning or a group of internationally recognized rising stars</span><span> to be funded and hosted at Chalmers and to </span><span>scientifically</span><span> lead the theme semester </span><span>together with the local consortium of Chalmers researchers. The international researcher(s) would spend this period hosted by Chalmers. During the theme semester,</span><span> </span><span>10-15 </span><span>external researchers will be hosted </span><span>at Chalmers to participate in seminars, workshops and open events (</span><span>we encourage people to stay for at least one week</span><span>)</span><span>. The thematic programs are envisioned to attract a broad range of scientists, from different fields, with AI as a focal point and to be arranged such that there are close interactions between the involved scientists.</span><span> We expect that the local consortium will continue the initiated collaboration after the theme semester and build long term research efforts.</span></div> <div><br /></div> <div><span>It is also expected that</span><span> outreach activities</span><span> such as a day of talks aimed at the general public</span><span> are</span><span> arranged during the period that the theme semester runs. </span><span>CHAIR's Ethical Policy (</span><span><a href="/en/centres/chair/research/Pages/Ethical-policy.aspx" target="_blank" rel="noreferrer nofollow">https://www.chalmers.se/en/centres/chair/research/Pages/Ethical-policy.aspx</a></span><span>)</span><span> shall be regarded during the semester</span><span>. <br /><br /></span></div> <div><div><span>Each project will be supported by a budget of </span><span>up to</span><span> 600 k SEK</span><span>. It will be left up to the team of coordinating researchers at Chalmers to spend the budget as they see fit. </span><span>The budget</span><span> may be used for supporting travel, local accommodation of visitors </span><span>and</span><span> also to pay a salary </span><span>component or honorarium </span><span>to the international theme leader</span><span>(s). However, no more than 10% of the budget can be used for salary for the local researchers at Chalmers.  There may be a light check on how the budget is proposed to be used and minor adjustments may be suggested by the CHAIR management.</span></div> <div><span><br /></span></div> <div><div><span><strong>Call for Proposals and Nomination of a Distinguished Research Leader</strong></span></div> <div><div><span>We invite proposals from a consortium of researchers at Chalmers and GU for AI Theme Semesters.  This proposal should include a nomination of an internationally distinguished research leader in</span><span> </span><span>AI/machine learning or a group of rising stars.  </span><span>We are looking for nominees with an outstanding scientific track record. There is no particular age bracket to be considered. </span></div> <div><br /></div> <div><span>The nomination should contain:</span></div> <ul><li><span>A cover letter (of at most 3 pages)  outlining the research programme for theme semester</span><span> </span></li> <li><span>A</span><span> two-page CV of the international researcher</span><span>(s) </span><span> together with list of publications (and preferably a researcher ID such as ORCID).</span></li> <li><span>P</span><span>ropose, and shortly justify, a budge</span><span>t</span><span> total </span><span>up to 600 k SEK</span><span> (maximum 1/2 of a page). </span></li> <li><span>A</span><span> letter of intent from the nominee</span><span>(s) </span><span> stating the time period </span><span>they </span><span>will be present in Gothenburg. </span><span>(Note: only one letter of intent from the </span><span>main visiting researche</span><span>r </span><span>(rather than all participants) is required)</span></li> <li><span>Ethical aspects of the programme, in keeping with CHAIR's Ethical Policy, should also be addressed in the application. </span></li></ul> <div><span>The proposals will be evaluated and selected by the Management </span><span>Group</span><span> of CHAIR. </span></div> <div><br /></div> <div><span>There is the possibility to get CHAIR core partners </span><span>(</span><span><a href="/en/centres/chair/consortium/Pages/default.aspx" target="_blank" rel="noreferrer nofollow">https://www.chalmers.se/en/centres/chair/consortium/Pages/default.aspx</a></span><span>)</span><span> involved in the project, giving the visiting researcher and the group a chance to work on problems together with partners, and also benefit from data, while the partners benefit from the research, and can contribute to the project.  </span></div> <div><br /></div> <div><span>Complementary funding and activities could also be arranged together with GENIE if the theme is led by female researcher(s).</span></div> <div><span><br /></span></div> <div><div><span><strong>Mandatory Requirements:</strong></span><span><strong> </strong></span></div> <ul><li><span>AI should be the focal point of the proposal.</span></li> <li><span>T</span><span>he consortium submitting the proposal shou</span><span>l</span><span>d consist of at least three PIs </span><span>from Chalmers</span><span> from at least </span><span>three</span><span> different local departments.</span><span> We also encourage additional external PIs</span><span> </span><span>from e.g. GU, industry partners or the  CHAIR consortium.</span></li></ul> <div><span><strong><br />Ev</strong></span><span><strong>aluation criteria: </strong></span></div> <ul><li><span>AI as the focal point</span><span> of the proposal</span><span>.</span></li> <li><span>Novelty and originality</span><span>.</span></li> <li><span>Scientific quality of the proposed research</span><span>.</span></li> <li><span>Merits of the nominee</span><span>s.</span></li> <li><span>Feasibility - prior experience of coordinating larger projects or networks is thus an advantage</span><span>.</span></li> <li><span>Cross-disciplinary </span><span>nature</span><span> of the project. </span></li> <li><span>Added value for the extended research community at Chalmers</span><span>.</span></li> <li><span>Ability to continue with the cooperation after the project completion</span><span>.</span></li></ul> <div><br /></div> <div><span><strong>Important dates</strong></span><span><strong> and submission:</strong></span></div> <ul><li><span>Submission due : 15 November, 2021</span></li> <li><span>N</span><span>otification: </span><span>December 20, 2021</span></li> <li><span>Project start: </span><span>2022</span></li> <li><span>Project end: </span><span>December 31, 2022</span></li></ul> <div><br /></div> <div><span> Informal enquiries can be sent to Rebecka Jörnsten (</span><span><a href="mailto:jornsten@chalmers.se">jornsten@chalmers.se​</a></span><span>). </span></div> <div><br /></div> <div><span>The proposals should be submitted as one PDF file consisting of the above-mentioned parts.  The proposal should be submitted via this channel </span><span><a href="https://easychair.org/conferences/?conf=chaits2021" target="_blank" rel="noreferrer nofollow">Submit your PDF proposal to Easychair​</a>.</span></div> <div></div> <span></span></div> <div></div> <span><strong></strong></span></div> <div></div> <span></span></div> <div></div> <span></span></div> <span></span></div> ​​Tue, 14 Sep 2021 00:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/Call-for-projects-CHAIR-X---AI-Project-Plan.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/Call-for-projects-CHAIR-X---AI-Project-Plan.aspxCall for projects: CHAIR X + AI<p><b>With the new X+AI initiative, CHAIR aims to establish an instrument that allows Chalmers-based researchers in any field (X) with a strong international standing to develop an environment that leverages AI to reach global excellence. The goal of this new CHAIR X+AI grant is to support the development of consortia that can potentially lead to new project applications, create new networks or participate in existing ones.</b></p><strong>​</strong><span><strong>We invite team leaders</strong> to apply for the new CHAIR X+AI grants and submit their strong applications which should fulfill the following criteria:</span><ol type="1"><li><span lang="EN-US">The main PI should be an employee from Chalmers. External partners are allowed to participate but cannot be direct beneficiaries of this grant.</span></li> <li><span lang="EN-US">Establishes synergistic and unusual connections of X to AI with internal, national, international, or industrial partners.</span></li> <li><span lang="EN-US">Explores promising synergies between X and AI, to achieve goals that can only be possible by working together.</span></li> <li><span lang="EN-US">Enable concrete discussions between X and AI, and build a collaborative environment.</span></li> <li><span lang="EN-US">Identifies and aligns resources and needs to facilitate effective connection of X and AI.</span></li></ol> <p><span lang="EN-US"> </span></p> <p><strong>Budget and instrument details:<br /></strong></p> <ol type="1"><li><span lang="EN-US">We aim to fund 2-3 projects with budgets between 300 kSEK to 750 kSEK. The total budget for this call is 1.5 MSEK. Budgets can be used freely for salaries, travel, consumables, etc. However, larger budget allocations (&gt;50 kSEK) should be clearly justified in the application text.</span></li> <li><span>​​​Outcome: A final project report should be delivered and presented (could also include a video, presentation, etc.) describing the outcome and a plan for upscaling, e.g. grant applications, partner in consortiums, coordination of consortiums etc. </span><span>The scope of the final report is 5 pages.</span></li></ol> <div><strong><br /></strong></div> <div><strong>Deadline for call: Nov 15th, 2021</strong></div> <div><p><span lang="EN-US">The application should be maximum 3 pages long, font Times–roman, size 11. In addition, max 1 page can be used for references. Also, two- page CV of the main applicants should be included (max 4 CVs).</span></p> <p><span lang="EN-US"> </span></p> <p><span><strong>The proposal should include:</strong></span></p> <strong> </strong><ol type="1"><li><span lang="EN-US">T</span><span lang="EN-US">he project acronym and the project title (does not count towards 3 page limit)</span></li> <ol type="a"><li><span lang="EN-US">name, e-mail, of the project applicants (PIs)</span></li></ol> <li><span lang="EN-US">Current status and expected outcome from this newly developed connection.</span><span lang="EN-US"></span></li> <ol type="a"><li><span lang="EN-US">Why should research area X be combined with AI? - why is this connection/synergy important to advance the state-of-the-art?</span><span lang="EN-US"></span></li> <li><span lang="EN-US">Explain the scope of the new and potential synergies of the proposed network.            </span></li></ol> <li><span lang="EN-US">Implementation plan for synergy of</span><span lang="EN-US"> X + AI at Chalmers </span><span lang="EN-US">(workshops, visits, proposals, consortia, and networks)</span><span lang="EN-US"></span></li> <li><span lang="EN-US">E</span><span lang="EN-US">thical aspects </span><span lang="EN-US">and Diversity and inclusion strategy </span><span lang="EN-US">of the project (e.g. </span><span lang="EN-US">age, gender, seniority level, etc.</span><span lang="EN-US">)</span></li> <li><span>B</span><span>enefits for Chalmers</span></li> <li><span>Project partners</span><span></span></li> <li><span>Project budget</span><span></span></li></ol> <div><br /></div> <div><p><strong>Main evaluation criteria:</strong></p> <ol type="1"><li><span lang="EN-US">Establish the connections between X and AI (during grant application: internal, national, international, or industry)</span></li> <li><span lang="EN-US">Explore potential synergies between X and AI (more details, planning for grant applications, conceptualizing concrete ideas)</span></li> <li><span lang="EN-US">Enable Discussions between X and AI (ensure commitment or time)</span></li> <li><span lang="EN-US">Innovative explorations -- unusual partners -- and their potentials</span></li> <li><span lang="EN-US">Identifying and Aligning the resources to expertises to connect X and AI?</span></li></ol> <div><strong><br /></strong></div> <div><strong>Submission:</strong></div></div></div> <div><div>The application should be submitted as one PDF document to:<br /><a href="https://easychair.org/conferences/?conf=caix2021" target="_blank">https://easychair.org/conferences/?conf=caix2021</a><br /></div> <div><br /></div> <div><span style="font-weight:700">General questions about the call can be addressed to:</span><br /></div> <div><span style="background-color:initial">Fredrik Kahl, <a href="mailto:fredrik.kahl@chalmers.se">fredrik.kahl@chalmers.se​</a>, CHAIR management group</span><a href="mailto:ivica.crnkovic@chamers.se%E2%80%8B">​</a></div></div>Sun, 12 Sep 2021 10:00:00 +0200https://www.chalmers.se/en/departments/cse/news/Pages/researchaward.aspxhttps://www.chalmers.se/en/departments/cse/news/Pages/researchaward.aspx​Chalmers researcher gets Facebook’s research award in privacy-enhancing technology<p><b>​Facebook is investing in academic research to improve privacy technology. Andrei Sabelfeld’s project on securing browser extensions is one of the winners of the Facebook research award in privacy-enhancing technology.</b></p>Browser extensions are small programs that add new features to browsers and personalize the browsing experience. They greatly empower user experience on today’s web, with popular extensions like AdBlock having over 10 million downloads. Yet due to their elevated privileges, browser extensions pose major privacy and security challenges. Companies like Google and Facebook have often fallen victims to malicious extensions injecting fake content, such as fake ads, and stealing user information. <div><br /></div> <div>“To address these privacy and security challenges, our research deploys a range of techniques from sandboxing to information-flow and data-flow analysis for detecting malicious and vulnerable extensions. We look forward to collaborating with Facebook on this challenging and exciting topic” says Andrei Sabelfeld, professor in information security.</div> <div><br /></div> <div>Andrei’s research focuses on a range of topics within information security, like web, software, and language-based security. His signature research at Chalmers on information-flow control for JavaScript is an excellent fit for analyzing the code of browser extensions.</div> <div><br /></div> <div>“Thanks to our analysis we can track if a malicious extension tries to leak user credentials to third parties or if a web page tries to exploit a vulnerability in a browser extension. Because both web pages and browser extensions are written in the JavaScript programming language, our approach of tracking information flow in JavaScript offers a principled and uniform approach of analyzing the interplay between web pages and browser extensions” says Andrei Sabelfeld.</div> <h3 class="chalmersElement-H3">The importance of information security </h3> <div>Software is at the heart of modern computing systems while at the same time being the hardest to get right. Vulnerabilities and bugs open for lucrative attacks, as recently seen in the cyberattacks on Colonial Pipeline in the US and Coop in Sweden. </div> <div><br /></div> <div>“My research agenda is to build in security and privacy in the early phases of software and system construction and to design principled frameworks for prevention, detection, and mitigation of vulnerabilities,” says Andrei Sabelfeld. </div> <div><br /></div> <div><br /></div> <div><br /></div> <div>Written by Julia Persson</div> ​Mon, 06 Sep 2021 12:30:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/6-new-PhD-position-to-Chalmers-from-WASP.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/6-new-PhD-position-to-Chalmers-from-WASP.aspx6 new PhD position to Chalmers from WASP<p><b>​​The latest call for PhD proposals from WASP resulted in six new PhD positions at Chalmers </b></p><p><span style="background-color:initial">T</span><span style="background-color:initial">he competition this year was quite tough, there were 74 proposals in total,  and 20 proposals have been accepted. Chalmers submitted 24 proposals (the largest number of the proposals from a single university), 4 of them twining projects.</span><br /></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="background-color:initial">Previously this year, Chalmers got approved four industrial PhD students. That shows that Chalmers researchers show continuously increasing interest in applying for WASP funds and are getting more and more successful. This is a promising trend, and we hope that it will continue, as WASP will continue with new calls this and next year. Chalmers is one of the five WASP founding universities, and WASP is important for Chalmers, not only for the funding reasons, but also for building Swedish communities, and  in participation in the international communities in the selected areas (AI, Autonomous Systems and Software). For example, two of Chalmers PhD students, from the first six WASP PhD students that got a postdoc grant,  are continuing their careers as postdocs at CMU and Berkeley universities, funded from KAW and WASP.</span><span style="background-color:initial"> </span></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="font-weight:700">​</span><span style="font-weight:700">The following project proposals were accepted:</span></p> <p></p> <ul><li><span lang="EN-US"><a href="/en/Staff/Pages/piterman.aspx">Nir Piterman</a> Combining Path-finding Algorithms in Temporal Reactive Synthesis </span></li> <li><span lang="EN-US"><a href="https://www.kth.se/profile/skantze/">Gabriel Skantze </a>and <a href="/en/Staff/Pages/richard-johansson.aspx">Richard Johansson</a>  Learning for Conversational AI  </span></li> <li><span lang="EN-US"><a href="/en/staff/Pages/per-stenstrom.aspx">Per Stenström </a>and <a href="/en/Staff/Pages/johamik.aspx">Mikael Johansson</a>, AA4ML - Algorithm-architecture co-design for machine learning  </span></li> <li><span lang="EN-US"><a href="/en/Staff/Pages/yiannis.aspx">Yiannis Karayiannidis</a>, Haptic-based Tracking of Objects in parallel robotic grippers </span></li> <li><span lang="EN-US"><a href="/en/Staff/Pages/haghir.aspx">Morteza Haghir </a>Chehreghani, A Generic Active Learning Framework for Deep Models </span></li> <li><span lang="EN-US">​<a href="/en/staff/Pages/ahmh.aspx">Ahmed Ali-Eldin​</a> , Debloating Machine Learning Systems  </span></li></ul> <p></p> <p><span style="font-weight:700"></span><span style="background-color:initial"></span></p> <p><span lang="EN-US"> ​</span><span style="background-color:initial">Tw</span><span style="background-color:initial">o of these six projects are “twining” projects with KTH in which each University has one PhD student.</span></p> Wed, 23 Jun 2021 00:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/Exploring-the-underlying-symmetries-of-AI.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/Exploring-the-underlying-symmetries-of-AI.aspxExploring the underlying symmetries of AI<p><b>​The step from fundamental research to applications, especially in mathematical sciences, can often be quite long, but when we connect math to AI the divide becomes smaller, says Professor Daniel Persson, who leads two WASP-funded research projects at Chalmers.</b></p>W​<span lang="EN-US">hen you train a machine to recognize objects, you put in images of the object until the machine has learned to recognize it. The AI technology of today is really good in detecting and recognizing objects. However, if the image is rotated or curved it is much more difficult for the AI to detect it. For a machine to better understand things like traffic scenes, molecular structures, climate data or medical images it needs to be trained to understand the underlying symmetries of the data.</span><div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">– In</span><span style="background-color:initial"> all these fields mathematics can be applied. That is why math and AI is so exciting. You have a basic theory that you may apply in many different </span><span style="background-color:initial">situations</span><span style="background-color:initial">, says Professor Daniel Persson at Chalmers Department of Mathematical Sciences.</span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">He is the supervisor of two PhD students in the WASP-funded projects Quantum Deep Learning and Renormalization and Group Equivariant Convolutional Neural Networks. In the projects they use group theory to construct neural networks that are adapted to the desired symmetries. In 2020 they obtained their first theoretical results by developing a mathematical framework that achieves this. They also started to obtain their first experimental results for spherical images.</span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">– This could for instance be very useful for self-driving cars and medical image analysis, just to name a few applicationsi, says Daniel Persson.</span></div> <div><span lang="EN-US" style="background-color:initial"><br /></span></div> <div><span lang="EN-US" style="background-color:initial">In their work they collaborate with researchers at Zenseact, that are developing software for autonomous driving at Lindholmen in Gothenburg. But Daniel Persson also sees other potential applications, ranging from health care to cosmology. </span><span style="background-color:initial"> </span></div> <div><span lang="EN-US" style="background-color:transparent;color:windowtext;font-family:&quot;segoe ui&quot;, &quot;segoe ui web&quot;, arial, verdana, sans-serif"><br /></span></div> <div><span lang="EN-US">– The step from fundamental research to applications, especially in mathematical sciences, can often be quite long, but what is happening when we start working with AI is that the divide becomes smaller. We can put fundamental research straight into AI applications to improve the neural networks. And in turn we can use AI as an aid to explore fundamental research, he says.</span><span> </span></div> <div><span><br /></span></div> <a href="http://www.chalmers.se/en/departments/math/research/research-groups/AIMS/Pages/ai-project-2.aspx" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" /> </a><a href="http://www.chalmers.se/en/departments/math/research/research-groups/AIMS/Pages/ai-project-2.aspx" target="_blank"><div style="display:inline !important">Read more about the project</div></a><div><span><br /></span></div> <div><span><img src="/en/centres/chair/news/PublishingImages/Daniel%20Persson.png" alt="Daniel Persson 2.png" style="margin:5px;width:180px;height:119px" /><br /><em>Daniel Persson</em></span></div> <em> </em><br />Thu, 10 Jun 2021 00:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/AI-in-Horizon-Europe-please-answer-the-call!.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/AI-in-Horizon-Europe-please-answer-the-call!.aspxAI in Horizon Europe – please answer the call!<p><b>​Focus on AI is strong in Horizon Europe, the EU's key funding programme for research and innovation! Chalmers AI Research Centre offers you, as a Chalmers researcher, support for getting engaged in Horizon Europe. Build collaborations, attract funding and break new ground with CHAIR's support.​</b></p>​<span style="background-color:initial">H</span><span style="background-color:initial">orizon Europe is an important platform for AI research and a brilliant opportunity for Chalmers to increase the international collaborations within the research area.</span><br /><span> <br /><p dir="ltr"><span>CHAIR now offers all Chalmers researchers support to get engaged in Horizon Europe. We have entered a collaboration with <a href="https://www.imcginternational.com/" target="_blank">IMCG, Impact Management Consulting Group,​</a> to ease your way into Horizon Europe projects. IMCG has extensive experience in supporting Chalmers researchers to become successful in various roles in EU’s research programmes. We encourage you to explore the different ways to get engaged below and to get in touch about the next step.</span></p> <p dir="ltr"><strong style="background-color:initial"><br /></strong></p> <p dir="ltr"><strong style="background-color:initial">​Here are some ways to get engaged:</strong></p> <p dir="ltr"><span style="background-color:initial">– <strong>W</strong></span><span style="background-color:initial"><strong><strong>atch</strong> our webinar and learn why Horizon Europe is relevant to your research</strong></span></p></span><p></p> <p dir="ltr"><span>On May 4th CHAIR held a webinar led by Magnus Andersson from IMCG, on opportunities for AI Research in Horizon Europe (</span><a href="/en/centres/chair/news/Pages/Horizon-Europe-calling.aspx" target="_blank"><span>Horizon Europe Calling! | Chalmers</span></a><span>). Watch the webinar here (</span><a href="https://youtu.be/Tsx-C0WCeRk" target="_blank"><span>Horizon Europe webinar</span></a><span>). Hear also Prof. Kasper Moth-Poulsen’s presentation about his own Horizon journey (listen from 52:30). Take it from him; </span><span>“You can’t outsmart your competitors, but you can outplan them!”</span></p> <p dir="ltr"><span style="background-color:initial">To start taking action, please get in touch with IMCG, Impact Management Consulting Group, Finance Expert <a href="mailto:johan.emanuel@imcginternational.com" target="_blank">Johan Emanuel</a>, johan.emanuel@imcginternational.com, and he will help you forward on any of the following matters, or any other inquiries you might have about Horizon Europe. </span></p> <p dir="ltr"><span style="background-color:initial"><strong>– </strong></span><strong style="background-color:initial">Browse relevant calls and find your match</strong><span style="background-color:initial"> </span></p> <p></p> <p dir="ltr"><span>Horizon Europe is, according to the EU, the world’s largest innovation and research program, and obviously there are multiple opportunities to find your match within the program. To get you started,  IMCG has assembled a list of AI-related Horizon Europe calls within these different clusters. These are:</span></p> <ul><li dir="ltr"><p dir="ltr"><span>Culture, Creativity and Inclusive Society</span></p></li> <li dir="ltr"><p dir="ltr"><span>Civil Security for Society</span></p></li> <li dir="ltr"><p dir="ltr"><span>Digital, Industry and Space</span></p></li> <li dir="ltr"><p dir="ltr"><span>Climate, Energy and Mobility</span></p></li> <li dir="ltr"><p dir="ltr"><span>Food, Bioeconomy, Natural resources, Agriculture and Environment</span></p></li></ul> <p dir="ltr"><span style="background-color:initial">T</span><span style="background-color:initial">h</span><span style="background-color:initial">e list is available to</span><span style="background-color:initial"> all Chalmers researchers on request.</span></p> <p dir="ltr"><span style="background-color:initial"><strong>– </strong></span><strong style="background-color:initial">Get onboard as partner in a consortium</strong></p> <p></p> <p dir="ltr"><span>Getting involved with the right partners is key for a successful application. IMCG’s method puts you in the right context. Start exploring the opportunities of being a partner in a consortium!</span></p> <p dir="ltr"><span>Before you contact IMCG</span></p> <ul><li dir="ltr"><p dir="ltr"><span>Write down 3 short sentences that describe and summarize the part of your research you want to participate in an application with.</span></p></li> <li dir="ltr"><p dir="ltr"><span>Write down 3 short sentences and what you want to achieve with your participation in a project.</span></p></li> <li dir="ltr"><p dir="ltr"><span style="background-color:initial">W</span><span style="background-color:initial">rite down 5-7 specific keywords that we can use when searching for calls and consortiums.</span></p></li></ul> <span style="background-color:initial"><b>– Start your journey for becoming a consortium leader</b></span><span style="background-color:initial"> </span><br /> <p dir="ltr"><span>If you are running a strong research program and want to explore the possibilities for taking the lead of a consortium, IMCG has the methods to put you on the right call. Leading a consortium is not only a great experience for a research leader, it will also put you in a good position in an EU and European context.</span></p> <p dir="ltr"><span style="background-color:initial">On the European Commission’s webpage, you can find a detailed description of Horizon Europe – </span><a href="https://ec.europa.eu/info/research-and-innovation/funding/funding-opportunities/funding-programmes-and-open-calls/horizon-europe_en">Horizon Europe | European Commission (europa.eu)</a><span style="background-color:initial">. </span><span style="background-color:initial">Search for fundings and tenders on: Participant portal EU </span><a href="https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/home">Funding &amp; tenders (europa.eu)</a><span style="background-color:initial">.</span></p> <p dir="ltr"><span style="background-color:initial">Please also visit the web pages of Chalmers Grant Office: </span><a href="https://intranet.chalmers.se/en/tools-support/research-utilisation/funding-of-research-innovation/eu-financing/">EU funding support</a><span style="background-color:initial">.</span></p> ​​Mon, 24 May 2021 00:00:00 +0200https://www.chalmers.se/en/areas-of-advance/energy/news/Pages/Call-AI-in-energy-and-climate-research.aspxhttps://www.chalmers.se/en/areas-of-advance/energy/news/Pages/Call-AI-in-energy-and-climate-research.aspxCall for projects: AI in energy and climate research<p><b>​CHAIR, Chalmers Energy and ICT Areas of Advance are jointly investing in Data Science and AI in the Energy and Climate area. Important dates: Submission deadline: June 6, 2021. Notification: June 2021. Expected project start: Aug/Sep 2021</b></p><div><span style="background-color:initial"><strong>Dat</strong></span><span style="background-color:initial"><strong>a driven research</strong> is becoming increasingly important for many research activities at Chalmers. A large </span><span style="background-color:initial">need also exists for research connected to energy transitions to meet climate targets. As new sources of data become available connected to energy and climate research there is potential for innovative research, but this does not come without related challenges. To extract valuable patterns from large data sets and handle the challenges, the Energy Area of Advance, CHAIR (Chalmers AI Research Centre), and ICT Area of Advance, issue this call to provide funding and expertise for research projects, together with the Data Science Research Engineers (DSRE) initiative funded by Chalmers e-Commons. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"><strong>All projects have to include</strong> an emphasis on methods from data science and machine learning to use and extract patterns from data in the domains of energy and climate research. The funding applied for has to be used during an expected project duration of approximately 6 months, and 1-2 data science research engineers will provide support (outside the budget applied for) to implement and evaluate methods for data handling and analysis in the projects.</span><br /></div> <div><br /></div> <div><strong>We welcome proposals </strong>in a relatively wide span: Ranging from the relevant and basic natural sciences, to the design, prototyping, and analysis of energy and climate-related technologies, on to energy and climate systems analysis. Examples related to energy technologies include electricity grids, process industries, energy end-use, energy conversion technologies, technology innovation systems, and energy in transport. One of the aims is to create new collaborations between the research areas Energy, Climate, and ICT, by supporting specific research projects in need of extracting patterns and using novel methods to analyse data.</div> <div><br /></div> <div><strong>Requirements:</strong></div> <div><ul><li>The data science research engineers will provide collaboration and support in new, or existing projects, by application of data science and AI methods to extract patterns out of one or a few specific data sources to answer the research questions at hand.</li> <li>The level of involvement of the data science research engineers should be not less than 30% of full time equivalent, and not larger than 50% full time equivalent during a period of 6 months.</li> <li>The projects should preferably start in August/September 2021. Exact date can be discussed.</li> <li>The budget applied for should not exceed 200 kSEK including indirect costs (OH). The budget can cover personnel costs, the purchase of equipment and data, or to cover time for researchers working on the related research project. The budget should not cover the involvement of the data science research engineers which is provided as part of the project.</li> <li>The proposal for the support and collaboration should have a connection to energy and/or climate research with clear potential and/or clear challenges to analyse the data. It is useful to highlight what data is already available, or what data collection from what data source (natural, technological, or social) that needs to be performed during the scope of the project.<br /><br /></li></ul></div> <div><strong>The proposal form:</strong></div> <div><span style="background-color:initial">T</span><span style="background-color:initial">he application is supposed to be simple and straightforward without extensive overhead: It should be maximum 3 pages long (preferrably 1-2 pages to describe the background and the main research idea). Please use font 11pt Times–roman. A one-page CV of the main applicant and main project participants should be added. Maximum four such CVs can be added on.</span><br /></div> <div><br /></div> <div><strong>The proposal should include:</strong></div> <div>a) Project title.</div> <div>b) The main applicants: Name and e-mail and department.</div> <div>c) The preferred starting date and ending date for the project.</div> <div>d) A short overview of the project, with its research challenges and objectives and what novel possibilities you see in using data science or AI in your domain/research area.</div> <div>e) A description of the type, size and availability of the data to be used in the projects including current availability and any restrictions in of use from intellectual property restrictions or so.</div> <div>f) A concrete description of how you would start to work together with the data science research engineers to extract patterns from data.</div> <div>g) The different types of expertise in the project (what type of expertise, and the expected involvement). Note: interaction with the DSRE team about this during writing of the proposal is recommended, see below.</div> <div>h) The expected outcome (including dissemination/publication plan) and its potential for further research/activities.</div> <div>i) The project overall time-line and budget (expenses on your side); in the budget, please clarify planned spending during 2021 and 2022 as the project is expected to run into 2022.</div> <div><br /></div> <div><strong>Important dates:</strong></div> <div>Submission deadline: June 6, 2021</div> <div>Notification: June 2021</div> <div>Expected project start: Aug/Sep 2021</div> <div><br /></div> <div><strong>Evaluation Criteria:</strong></div> <div><ul><li>​How innovative is the project in your research domain?</li> <li>How central is the use of data sources in the project?</li> <li>How high is the potential impact of the project for its research field?</li> <li>Cross-disciplinarity: Does the project mix ideas or re<span style="background-color:initial">searchers from more than one discipline?</span></li> <li>Are there methods from data science and machine learning to extract patterns from data?</li></ul></div> <div><br /></div> <div>The unit of data science research engineers is available to provide brief feedback about the proposals during the weeks leading up to the submission deadline, drawing on <a href="http://cse-31296.cse.chalmers.se:8300/static/">experience from previous projects</a>. This will ensure writing a proposal that clarifies available data and proposes relevant methods. They can be contacted through the mailing list dsre.cse@chalmers.se to seek feedback in the formulation of the proposal.</div> <div><br /></div> <div><strong>Submission:</strong></div> <div>The application should be submitted as one PDF document to</div> <div><a href="https://easychair.org/conferences/?conf=energyclimatedsai202">https://easychair.org/conferences/?conf=energyclimatedsai202</a></div> <div><br /></div> <div>The proposals will be evaluated by the AoA Energy management group and a selected group of senior researchers across different areas and departments at Chalmers, and will be decided by the directors of the AoA Energy management group, director of CHAIR, and the unit manager of the data science research engineers.</div> <div><br /></div> <div><strong>General questions about the call can be addressed to:</strong><br />Anders Ådahl <a href="mailto:Anders.Adahl@chalmers.se">anders.adahl@chalmers.se</a><br />Vilhelm Verendel <a href="mailto:vive@chalmers.se">vive@chalmers.se</a><br />Ivica Crnkovic <a href="mailto:ivica.crnkovic@chamers.se%E2%80%8B">ivica.crnkovic@chamers.se​​</a><br /><br />General information about the research within the Energy Area of Advance, CHAIR, and ICT Area of Advance can be found at <a href="/"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />www.chalmers.se</a><br /><br /><strong>More info:</strong><br /><a href="/en/centres/chair/Pages/default.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Chalmers AI Research Centre</a><br /></div> <div><br /></div> Tue, 11 May 2021 00:00:00 +0200https://www.chalmers.se/en/departments/cse/news/Pages/Two-projects-from-Computer-Science-and-Engineering-on-IVA's-100-list.aspxhttps://www.chalmers.se/en/departments/cse/news/Pages/Two-projects-from-Computer-Science-and-Engineering-on-IVA's-100-list.aspxTwo projects from Computer Science and Engineering on IVA's 100 list<p><b>​A system for protection against cyber-attacks and a new tool for using and sharing data analytics based on personal data are two of the 100 research projects that the Royal Swedish Academy of Engineering presented today on its 100 list for 2021.</b></p>​<span style="background-color:initial">In this year's 100 list, IVA has called for projects focusing on sustainable preparedness for future crises. Behind these two innovations from Computer Science and Engineering are Magnus Almgren together with his doctoral student Wissam Aoudi and Alejandro Russo together with his colleague Marco Gaboardi.</span><div><br /><span style="background-color:initial"></span><div>- It is fantastic to be on IVA's 100 list. Cyber security is a major challenge for the connected society. Our research has led to new technology that can, among other things, protect self-driving cars, and we are now looking for more actors who want to initiate a dialogue and contribute to a secure connected society, says Magnus Almgren, associate professor at the Department of Computer Science and Engineering.</div> <div><br /></div> <div>The purpose of the 100 list is to shed light on current research and make it easier for researchers and companies to find each other to create innovation and new business opportunities together. The research must be ready to be utilized within the foreseeable future and create value for Swedish business and society.</div> <div><br /></div> <div>- My colleague Marco Gaboardi, research assistant at Boston University, and I have developed a 'deep tech' method to offer a tool for creating privacy-preserving analytics. Performing analytics on personal data can bring new value propositions and business opportunities! Still, the challenge is to do it while respecting the privacy of individuals and complying with GDPR . Our research will enable companies' cooperation around data, break data silos, and open data insights that otherwise would have remained closed, says Alejandro Russo, Associate Professor at Computer Science and Engineering.</div> <div><br /></div> <div>Read more about the projects:</div> <h3 class="chalmersElement-H3">Protection against cyber attacks - new efficient technology that is suitable for running both locally in cyber-physical systems and in the cloud.</h3> <div><img src="/SiteCollectionImages/Institutioner/DoIT/News/Magnus%20Almgren_170x170.jpg" class="chalmersPosition-FloatRight" alt="Magnus Almgren" style="margin:5px 10px" />In a research effort to protect safety-critical systems on which societies depend in light of the increasing trend of digitalization, Magnus Almgren and Wissam Aoudi have developed algorithms that can detect attacks in real time and which can run both locally and on the cloud. While bringing systems that people interact with on a daily basis online has its benefits, it comes at the risk of exposing such systems as self-driving vehicles, which lack basic security mechanisms, to cyber criminals. Upon successful attacks, cyber criminals are capable of no less than compromising and taking full control of these systems remotely, which can have devastating consequences on society. Magnus and Wissam have relentlessly validated the applicability of their algorithms to connected vehicles, industrial control systems, and various types of IoT systems.​<br /></div> <div><br /></div> <div><a href="/en/departments/cse/news/Pages/PASAD-.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Read more about the research project</a></div> <div><h3 class="chalmersElement-H3"><span>N</span><span>ew tool for privacy-preserving analyzes</span></h3></div> <div><img src="/SiteCollectionImages/Institutioner/DoIT/News/alejandro%20russo_170x170.jpg" class="chalmersPosition-FloatRight" alt="Alejandro Russo" style="margin:10px" />Using and sharing data analytics based on personal data can create competitive advantages and lead to new business opportunities for companies and organizations. However, the possibilities are limited due to rules regulating the processing of personal data, such as the GDPR. Alejandro Russo has together with Marco Gaboardi developed a 'deep tech' method to offer a tool, based on Differential Privacy, for creating privacy-preserving analysis.</div> <div><br /></div> <div>Companies and authorities collect large amounts of information (data) about individuals, e.g. customers and citizens. However, a large part of the information collected consists of personal data, that is, it contains information about individuals and their private behavior. For many companies, it is a challenge to use and share data analytics based on personal data and at the same time respect the individual's privacy in accordance with the GDPR. The ability to freely use such data analytics would in many cases create competitive advantages and lead to new business opportunities.</div> <div><br /></div> <div>Alejandro explains “To protect the privacy of an individual, our approach uses random noise to change the results of analytics. The addition of noise must be done very carefully and, for that, we  use the mathematical method for Differential Privacy, which is a gold standard for data privacy. We have recently founded a company with the goal of helping out Swedish industry and authorities to perform analytics on personal data at the same time that privacy gets respected. We are currently working with GU Ventures to reach out to potential interested stakeholders. ”</div> <div><br /></div> <span style="background-color:initial"><a href="https://www.dpella.io/"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more about the project at www.dpella.io​</a></span></div>Mon, 10 May 2021 00:00:00 +0200https://www.chalmers.se/en/centres/chair/news/Pages/Horizon-Europe-calling.aspxhttps://www.chalmers.se/en/centres/chair/news/Pages/Horizon-Europe-calling.aspxHorizon Europe Calling!<p><b>A webinar on opportunities for AI research in the upcoming European Framework Programme.  ​</b></p><span>Come listen to an inspirational webinar about opportunities for AI research in the new European Framework Program – Horizon Europe! This webinar is hosted by CHAIR, Chalmers AI Research Centre and led by Magnus Andersson, </span><span style="background-color:initial">Finance E</span><span style="background-color:initial">xpert at IMCG International, who will introduce and walk you thorugh the largest R&amp;I programme in Horizon Europe. For example:</span><p><span style="background-color:initial"><br /></span></p> <p></p> <ul><li><span style="background-color:initial">When and how to enter</span></li> <li><span style="background-color:initial">When it will be relevant</span></li> <li>Relevant AI calls</li> <li><span style="background-color:initial">Details on 2021 and early 2022</span></li> <li>Horizon Europe CHAIR support<span style="background-color:initial"> <br /><br /></span></li></ul> <p><span style="background-color:initial"></span><span style="background-color:initial"><strong>Special guest from Chalmers</strong><br />Kasper Moth Poulsen, professor of Chemistry and Chemical Engineering and head of Division Applied Chemistry at Chalmers,</span><span> will be joining the webinar to present his Horizon journey, lessons learned and highlights. Kasper is coordinating Molecular Solar Thermal Energy Storage Sytems, a 4.2 M</span><span>€ Horizon 2020 project, aimed at developing and demonstrating a zero-emission solar energy storage system based on benign, all-renewable materials.</span></p> <div><span style="font-family:lato, helvetica, arial, sans-serif;background-color:initial"><br /></span></div> <p><strong style="background-color:initial">Save the date:</strong><span style="background-color:initial"> Monday, 3rd of May, at 13–15 CET.</span><br /></p> <div><p><strong><a href="https://ui.ungpd.com/Surveys/0034e6be-58d1-4a52-9569-13d2fb9a681b" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Link to registration</a></strong></p> <div>Zoom link will be sent out to registered participants.<br /></div> <p></p> <div><br /></div> <p><strong style="background-color:initial"><br /></strong></p> <p><strong style="background-color:initial">About the speaker</strong><br /></p> <p><strong><img src="/en/centres/chair/news/Documents/Namnlös.jpg" alt="Namnlös.jpg" class="chalmersPosition-FloatRight" style="margin:0px;width:124px;height:174px" /></strong></p> <p><span lang="EN-US"><strong>Magnus Andersson,</strong> is co-owner and co-founder of the innovation company </span><span lang="EN-US" style="background-color:initial">IMCG – Impact Management Consulting Group. Magnus has in the past two decades worked as manager, coordinator and business development leader for 50+ large international and national R&amp;I projects and programmes within Machine Learning, Sustainable Cities, <br />Energy and Transport and mobility as well as Cities and Buildings, including the design <br />and development of three Lighthouse projects, CELSIUS, IRIS, SharingCities. <br /><br /></span></p> <p><br /></p> <p><strong style="background-color:initial">Prof. Kasper Moth Poulsen</strong><br /></p> <p><span style="background-color:initial"><strong><a href="/en/Staff/Pages/kasper-moth-poulsen.aspx">Kasper Moth-Poulsen​</a>,</strong> is a research leader in the field of nano-chemistry, energy storage materials and synthetic chemistry. His research activities focus on the development of methods to address single molecules and innovative technologies for solar thermal energy storage. The objective is to make materials from nanoparticles, nanorods and tailor made small molecules for a broad range of applications ranging from single molecule electronics to sensors and renewable energy technologies. </span></p> <p><span lang="EN-US"><br /></span></p> <p><span lang="EN-US"><a href="https://imcginternational.com/">Click here to go to IMCG's website</a></span></p></div>Tue, 13 Apr 2021 00:00:00 +0200