Taneli Mielikäinen

Research Leader, Algorithmic Data Analysis
Palo Alto, California

I lead Data Insight team working on data-intensive computing, machine learning and human-data interaction at Nokia Research Center, Palo Alto, California, USA. I am also an adjunct professor in Computer Science at University of Helsinki, Finland.

Prior joining Nokia, I was doing research at HIIT BRU and FDK on various topics, including computational biology (metabolic networks, haplotype analysis, cryo-electron microscopy) data mining (pattern discovery and foundations of data mining, privacy in data analysis, inductive databases, probabilistic logic learning) and combinatorial optimization.

I defended my PhD Thesis on summarization techniques for pattern collections in data mining in May 2005. For my MSc thesis I studied the computational complexity of determining relative orientations of cryo-electron microscope images of macromolecular complexes and implemented a software system Orient Express for experimenting with different heuristic search techniques.

Professional Activities

Conferences: 3PDM 2008; CIKM 2010; CMILE 2007; DAWAM 2006, 2007, 2008; DS 2007, 2008, 2011; ECML/PKDD 2006, 2007, 2008, 2009, 2010, 2011; KDID 2004, 2005, 2006; ICCS 2005; ICDE 2009; ICDM 2008, 2009, 2010; IJCAI 2011; KDD 2009; KMIS 2010, 2012; LeGo 2008; LPU 2008; MDC 2012; MDM 2011; PADM 2007, 2009, 2010; PAKDD 2008, 2009, 2011; PinKDD 2007, 2008; PSDM 2005; SAC DM 2007, 2008, 2009, 2010, 2011; UAI 2010, 2011, 2012

Journals: ACM TODS, ACM TKDD, ACM/IEEE TCBB, DKE, DMKD, DAM, IEEE Pervasive Computing, IEEE TKDE, IEEE TNN, INS, JMLR, JOS, JRPIT, KAIS, NJC, TCS, ...

Publications

Markus Heinonen, Sampsa Lappalainen, Taneli Mielikäinen, and Juho Rousu. Computing Atom Mappings for Biochemical Reactions without Subgraph Isomorphism. Journal of Computational Biology, 18(1), pages 43-58, 2011.
Adam Ji Dou, Vana Kalogeraki, Dimitrios Gunopulos, Taneli Mielikäinen, Ville H. Tuulos, Sean Foley, Curtis Yu. Data Clustering on a Network of Mobile Smartphones. In 11th Annual International Symposium on Applications and the Internet, SAINT 2011, Munich, Germany, 18-21 July, 2011, Proceedings. IEEE Computer Society, 2011.
Adam Ji Dou, Vana Kalogeraki, Dimitrios Gunopulos, Taneli Mielikäinen, and Ville Tuulos. Scheduling for real-time mobile MapReduce systems. In David M. Eyers, Opher Etzion, Avigdor Gal, Stanley B. Zdonik, Paul Vincent (Eds.): Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, DEBS 2011, New York, NY, USA, July 11-15, 2011. ACM, 2011.
Adam Dou, Vana Kalogeraki, Dimitrios Gunopulos, Taneli Mielikäinen, and Ville Tuulos. Misco: a MapReduce framework for mobile systems. In Fillia Makedon (Ed.): Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, PETRA 2010, Samos, Greece, June 23-25, 2010. ACM, 2010.
Markus Heinonen, Ari Rantanen, Taneli Mielikäinen, Juha Kokkonen, Jari Kiuru, Raimo A. Ketola, and Juho Rousu. FiD: a software for ab initio structural identication of product ions from tandem mass spectrometric data. Rapid Communications in Mass Spectrometry, 22(19), pages 3043{3052, 2008.
Richard A. Hankins, Esa Etelaperä, Yiming Ma, Taneli Mielikäinen, and David Racz. . Everybit: A Community Platform for Experimenting with Mobile Data. Ninth Workshop on Mobile Computing Systems and Applications (HotMobile 2008). ACM, 2008.
Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, and Heikki Mannila. The Discrete Basis Problem. IEEE Transactions on Knowledge and Data Engineering 20(10):1348--1362. IEEE Computer Society, 2008.
Niels Landwehr and Taneli Mielikäinen. Probabilistic logic learning from haplotype data. In Luc De Raedt, Paolo Frasconi, and Kristian Kersting: Probabilistic Inductive Logic Programming: Theory and Application, LNCS 4911:263-286. Springer, 2008.

Some older publications are available at cs.helsinki.fi and DBLP might provide more up-to-date projection.