CHAIR Spotlight on Research

CHAIR Spotlight on Research

​​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 t​o all and are free of charge. CHAIR Spotlight Research talks are taking place on Fridays 13.00-13.45.

Previous seminars 

Anders Broo

Applied machine learning to support chemistry and formulation at AstraZenecaAnders 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.  

Date: 18 June 2021, at 13.00

 Read more here​​​​​

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. 

Date: 4 June 2021, at 13.00

 Read more here​​​​​

Yasemin Bekiroglu

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.

Date: 20 November 2020, at 13.00

 Read more here​​​​

All CHAIR Spotlight on Research seminars 2020

Ashkan Panahi

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).

Date: 6th November 2020, at 13.00

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Simon Olsson

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​

Karinne Ramirez-Amaro

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

Marija Furdek 

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 King

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


Page manager Published: Mon 21 Jun 2021.