Mikkel Baun Kjærgaard

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Henrik BlunckProfessor of Computer Science, University of Applied Sciences Bochum, GermanyVerified email at hs-bochum.de
Fisayo Caleb SangogboyeAssistant Professor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Aslak JohansenAssistant Professor, University of Southern DenmarkVerified email at mmmi.sdu.dk
Kaj GrønbækProfessor, Head of Department of Computer Science, Aarhus University, DenmarkVerified email at cs.au.dk
Bo Nørregaard JørgensenProfessor, PhD., Head of Center for Energy Informatics, University of Southern DenmarkVerified email at mmmi.sdu.dk
Allan StisenPhD Student, Computer Science, Aarhus UniversityVerified email at cs.au.dk
Thor Siiger PrentowPhD Student, Aarhus UniversityVerified email at prentow.dk
Christian VejeProfessor, Center for Energy Informatics, University of Southern DenmarkVerified email at mmmi.sdu.dk
Krzysztof ArendtSamsung R&D Institute PolandVerified email at samsung.com
Muhyiddine JradiAssociate Professor of Energy Engineering, University of Southern DenmarkVerified email at mmmi.sdu.dk
Sourav BhattacharyaSamsung AIVerified email at samsung.com
Anooshmita DasPh.D. Researcher, University of Southern DenmarkVerified email at mmmi.sdu.dk
Emil HolmegaardPhD Student, Center for Energy Informatics, University of Southern DenmarkVerified email at mmmi.sdu.dk
Martin WirzPhD, Wearable computing Lab., ETH ZurichVerified email at wirzm.ch
Daniel RoggenUniversity of SussexVerified email at ieee.org
Jens Hjort SchweePh.D. Fellow, University of Southern DenmarkVerified email at mmmi.sdu.dk
Joern PloennigsIBM Research, Smarter City Technology CentreVerified email at ie.ibm.com
Bharathan BalajiResearch Scientist, Amazon AIVerified email at amazon.com
Arka A. BhattacharyaGoogleVerified email at google.com
Yuvraj AgarwalAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Mikkel Baun Kjærgaard

Professor in Software Engineering, University of Southern Denmark

Verified email at mmmi.sdu.dk - Homepage

Ubiquitous Computing Software Technology Internet of Things Artificial Intelligence


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Entracked: energy-efficient robust position tracking for mobile devices MB Kjærgaard, J Langdal, T Godsk, T Toftkjær Proceedings of the 7th international conference on Mobile systems …, 2009	348	2009
Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition A Stisen, H Blunck, S Bhattacharya, TS Prentow, MB Kjærgaard, A Dey, ... Proceedings of the 13th ACM conference on embedded networked sensor systems …, 2015	340	2015
A taxonomy for radio location fingerprinting MB Kjærgaard International symposium on location-and context-awareness, 139-156, 2007	252	2007
Hyperbolic location fingerprinting: A calibration-free solution for handling differences in signal strength MB Kjærgaard, CV Munk Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE …, 2008	164*	2008
Brick: Towards a unified metadata schema for buildings B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ... Proceedings of the 3rd ACM International Conference on Systems for Energy …, 2016	159	2016
Indoor location fingerprinting with heterogeneous clients MB Kjærgaard Pervasive and Mobile Computing 7 (1), 31-43, 2011	159	2011
Indoor positioning using GPS revisited MB Kjærgaard, H Blunck, T Godsk, T Toftkjær, DL Christensen, ... International conference on pervasive computing, 38-56, 2010	157	2010
Energy-efficient trajectory tracking for mobile devices MB Kjærgaard, S Bhattacharya, H Blunck, P Nurmi Proceedings of the 9th international conference on Mobile systems …, 2011	117	2011
Location-based services on mobile phones: Minimizing power consumption MB Kjaergaard Pervasive Computing, IEEE 11 (1), 67-73, 2012	110*	2012
Analysis methods for extracting knowledge from large-scale wifi monitoring to inform building facility planning AJ Ruiz-Ruiz, H Blunck, TS Prentow, A Stisen, MB Kjærgaard 2014 IEEE International Conference on Pervasive Computing and Communications …, 2014	104	2014
Mobile sensing of pedestrian flocks in indoor environments using wifi signals MB Kjærgaard, M Wirz, D Roggen, G Tröster 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012	97	2012
Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones MB Kjærgaard, M Wirz, D Roggen, G Tröster Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 240-249, 2012	85	2012
Brick: Metadata schema for portable smart building applications B Balaji, A Bhattacharya, G Fierro, J Gao, J Gluck, D Hong, A Johansen, ... Applied energy 226, 1273-1292, 2018	76	2018
Error estimation for indoor 802.11 location fingerprinting H Lemelson, MB Kjærgaard, R Hansen, T King International Symposium on Location-and Context-Awareness, 138-155, 2009	76	2009
Unsupervised power profiling for mobile devices MB Kjærgaard, H Blunck International Conference on Mobile and Ubiquitous Systems: Computing …, 2011	64	2011
Automatic mitigation of sensor variations for signal strength based location systems MB Kjærgaard International Symposium on Location-and Context-Awareness, 30-47, 2006	54	2006
A critical review of field implementations of occupant-centric building controls JY Park, MM Ouf, B Gunay, Y Peng, W O'Brien, MB Kjærgaard, Z Nagy Building and Environment 165, 106351, 2019	52	2019
Robust and energy-efficient trajectory tracking for mobile devices S Bhattacharya, H Blunck, MB Kjærgaard, P Nurmi IEEE transactions on mobile computing 14 (2), 430-443, 2014	48	2014
ObepME: An online building energy performance monitoring and evaluation tool to reduce energy performance gaps M Jradi, K Arendt, FC Sangogboye, CG Mattera, E Markoska, ... Energy and Buildings 166, 196-209, 2018	41	2018
Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data MB Kjargaard, H Blunck, M Wustenberg, K Gronbask, M Wirz, D Roggen, ... Pervasive Computing and Communications (PerCom), 2013 IEEE International …, 2013	40	2013

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