Joakim Jaldén

Joakim Jaldén is a Professor at the Division of Information Science and Engineering, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. He holds a Ph.D. in Electrical Engineering from KTH (2007) and completed post-doctoral studies at Vienna University of Technology (2007-2009). With affiliations at Stanford University and ETH Zürich, his academic journey reflects global expertise.

• 2002: M.Sc. in Electrical Engineering, KTH
• 2007: Ph.D. in Electrical Engineering, KTH
• 2007-2009: Post-Doctoral Researcher, Vienna University of Technology

Jaldén's research spans Signal Processing, Wireless Communications, and Biomedical Data Analysis. He pioneered MIMO communications and later developed ELISpot/FluoroSpot analysis algorithms commercialized by Mabtech AB. His work on cell migration tracking (IEEE ISBI 2012) and distributed optimization (ECO-PANDA method) demonstrates interdisciplinary impact.

Key publication trends include Hidden Markov Models for DNA sequencing, Reinforcement Learning in communication systems, and Low-Complexity Beamforming for MU-MIMO networks. His 2024 work on mmWave MIMO beam coherence showcases continued leadership in wireless channel modeling.

Scientific recognition includes:

• IEEE Signal Processing Society 2006 Young Author Best Paper Award
• Ingvar Carlsson Career Award 2009 (Swedish Foundation for Strategic Research)
• IEEE ISBI 2012 Best Paper Award
• Bitplane Awards (2013-2015) for cell tracking challenges

As Program Director of KTH's 5-year Electrical Engineering Degree Program (CELTE) since 2016 and Vice-Chair of EECS Faculty Board, Jaldén leads academic initiatives. His collaborations with industry (e.g., Mabtech AB) and roles as examiner for advanced courses in communication systems highlight his educational impact.