Chalmers AI Research Center, CHAIR Spotlight on Research is a series of short talks hosting researchers from Chalmers and other organisations working on AI/machine learning/data science and their applications to different domains. The seminars are targeted towards everyone who has interest in AI/machine learning/data science, particularly from the Chair Consortium core partners and Chalmers.
Our aim is to increase awareness of AI at Chalmers between Chalmers researchers and AI experts in industry. In the seminars, speakers present an overview of their current research and thoughts for new research, ideas, challenges – anything they believe to be of interest for other researchers. The seminar is taking place online and is scheduled to contain 30 minutes of presentation and 15 minutes of discussion.
The seminars are open to all and are free of charge. CHAIR Spotlight Research talks are taking place on Fridays 13.00-13.45.
AI and Transportation Engineering: Case Studies, trends and some thoughts Xiaobo Qu is a Full Professor with a Chair in the Department of Architecture and Civil Engineering, Chalmers University of Technology in Sweden. His research is focused on improving large, complex and interrelated urban mobility systems by integrating with emerging technologies. More specifically, his research has been applied to the improvement of emergency services, and operations of electric vehicles and connected automated vehicles.
Date: 29 October 2021, at 13.00
Processing scientific content with Artificial Intelligence Victor Botev is the CTO and Co-Founder of Iris.ai. As the head of both the research and development team at Iris.ai, Victor has had to put his unique experience from a combination of AI research, software development, and technology leadership skills to the ultimate test in building and operating an international startup with a very ambitious vision and goal.
Date: 15 October 2021, at 13.00
Creative computer algorithms in drug discovery suggests what to make, and how to make it. Esben Bjerrum completed his PhD in COmputational Chemistry at Copenhagen University in 2008. He has then worked both in academia as a post.doc, in industry as an IT specialist as well as an self-employed IT consultant. In 2017 his independent research resulted in several contributions to the chemistry deep learning renaissance. He joined Astrazeneca in 2018 where he currently works with development of de novi design algorithms and deep learning assisted retrosynthetic planning.
Date: 1 October 2021, at 13.00
Interpreting and Grounding Pre-trained Representations for Natural Language Processing Richard Johansson a senior lecturer at the Division of Data Science and Artificial Intelligence at the Department of Computer Science and Engineering, Chalmers Technical University and University of Gothenburg. He earned his PhD in 2008 at Lund University and then spent some years as a postdoctoral researcher at the University of Trento, Italy, before returning to Sweden in 2011. His research interests are at the intersection of natural language processing and machine learning (ML), and most of his research focuses on the interplay between structured knowledge and ML-based language processing.
Date: 17 September 2021, at 13.00
Reinventing Hollywood: Automated and Distributed
Johanna Björklund is an Associate Professor at the Department of Computing Science at Umeå University. Her research is on semantic, or human-like, analysis of multimodal data, incorporating, e.g., images, audio, video, and text. She is also a co-founder of the media tech companies Codemill, Adlede, and Accurate Player, which deliver products and services for the media supply chain and count ITV, BBC, and ProSieben among their customers.
Date: 3 September 2021, at 13.00
Applied machine learning to support chemistry and formulation at AstraZeneca Anders Broo
has a PhD in theoretical and physical chemistry from University of Gothenburg, Sweden (1991). After post-doc’s in Uppsala and Florida he returned to Sweden for an assistant and associate professor position at Chalmers University of Technology, Gothenburg, Sweden. Anders has published 48 peer reviewed articles and is co-inventor on 3 patents.
Irene Yu-Hua Gu
Irene Yu-Hua Gu received Ph.D. degree in electrical engineering from Eindhoven University of Technology (The Netherlands), in 1992. From 1992 to 1996, she was Research Fellow at Philips Research Institute IPO, (The Netherlands), post dr. at Staffordshire University (U.K), and Lecturer at the University of Birmingham (U.K).
Since 1996, she has been with the Department of Electrical Engineering (former name: Department of Signals and Systems), Chalmers University of Technology, Sweden, where she became a professor (bitr. professor) in 2004, and a full professor since 2008.
Yasemin Bekiroglu is an Assistant Professor in the Automatic Control research group. She completed her Ph.D. at the Royal Institute of Technology (KTH) in 2012. Her research is focused on data-efficient learning from multisensory data for robotics applications. She received the Best Paper Award at IEEE International Conference on Robotics and Automation for Humanitarian Applications (RAHA) in 2016 and the Best Manipulation Paper Award at IEEE International Conference on Robotics and Automation (ICRA) in 2013, and was IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) CoTeSys Cognitive Robotics Best Paper Award Finalist in 2013.
All CHAIR Spotlight on Research seminars 2020
Ashkan Panahi is an assistant professor at the Computer Science and
Engineering Department at Chalmers University of Technology, Sweden. He
received his BSc and MSc degrees in electrical and communication
systems engineering from Iran University of Science and Technology
(IUST) (2008) and Chalmers University (2010). He also received his PhD
degree in Signal Processing from the Electrical Engineering Department
at Chalmers (2015).
Simon Olsson is Assistant Professor for Applied Artificial Intelligence at the Data Science and AI section of Computer Science and Engineering, Chalmers.
In 2013 the University of Copenhagen awarded Simon Olsson a Ph.D. in Bioinformatics for his work in probabilistic modeling of protein ensembles from averaged data under Thomas Hamelryck. Following his Ph.D., he was award several postdoctoral fellowships to spend time, first in Switzerland at the ETH Zürich and IRB Bellinzona, and later in Germany at the Freie Universität Berlin. Simons research focuses on the interface between machine learning and experimental, theoretical, and computational aspects of the natural sciences.
Date: 9th October 2020, at 13.00
Morteza Haghir Chehreghani
Adaptive Information Acquisition and Sequential Decision Making in AI
Morteza Haghir Chehreghani is Associate Professor of AI and Machine Learning at Chalmers University of Technology, Department of Computer Science and Engineering, Data Science and AI division. He holds a Ph.D. in Computer Science (AI/Machine Learning group) from ETH Zurich (2014). After the Ph.D., he joined Xerox Research as a Staff Research Scientist I and then Staff Research Scientist II. After about four years and in 2018, he joined Chalmers University of Technology.
Date: 25th September 2020, at 13.00
Read more here
Dr. Karinne Ramirez Amaro is an Assistant professor at Chalmers University of Technology since September 2019. Previously, she was a post-doctoral researcher at the Chair for Cognitive Systems (ICS) at the Technical University of Munich (TUM). She completed her Ph.D. (summa cum laude) at the Department of Electrical and Computer Engineering at the Technical University of Munich (TUM), Germany in 2015.
Date: 28th August 2020, at 13.00
Dr. Furdek is an assistant professor at the Department of Electrical Engineering at Chalmers. She received her Docent degree in Optical Networking from KTH Royal Institute of Technology in 2017. Her research focuses on the design of high-performance networks supporting next generation services, encompassing issues related to the optical network architecture and control.
Date: 21st August 2020, at 13.00
Ross D. King obtained a B.Sc. Hons. in Microbiology from the University of Aberdeen, an M.Sc. in computer science from the University of Newcastle upon Tyne, and a Ph.D. in Machine Learning from the Turing Institute. He is one of the most experienced machine learning researchers in Europe. His main research interest is the interface between computer science and science.
Date: 12th June 2020, at 13.00